Trainee Data Analyst - No Experience Needed

Build a future-proof career in Data & AI - starting today.

Artificial Intelligence runs on data - and businesses are crying out for professionals who can collect, analyse, and interpret it.

Looking for a career change? Want something analytical, structured, and financially rewarding? Or maybe you’re ready to break into tech but don’t know where to start? ITOL Recruit’s Data Analyst Career Programme is designed to take you from complete beginner to employable Data Analyst.

Most candidates secure their first role within 1-3 months of qualifying - often sooner in major cities.

Please note this is a training course and fees apply.

Job guaranteed - complete the programme and get a job or get your money back.

Our graduates earn £30,000-£65,000+.

Why Data?

Every business decision today is backed by data. From finance and healthcare to retail and sport, organisations rely on skilled analysts to interpret information and guide strategy.

Demand for Data and AI professionals continues to grow year on year, with excellent progression opportunities:

• Junior Data Analyst - £30,000
• Data Analyst - £50,000
• Business Analyst - £60,000
• Data Scientist - £65,000+

If you’re detail-oriented, analytical, organised, and comfortable communicating insights to others, this could be the perfect career for you.

How It Works

Step 1 - Data Administration & Core Tools

Build essential, job-ready skills with practical training in:

• Microsoft Excel (to expert level)
• SQL - Extracting and querying data from databases
• Python 3 - One of the most widely used languages in data analysis
• Tableau - Creating dashboards and data visualisations

Study time: Approximately 30-60 hours

Assessment: Course completion (no formal exam)

You’ll gain hands-on experience using the same tools employers expect Data Analysts to know.

Step 2 - CompTIA Data+ Qualification

Earn the internationally recognised CompTIA Data+ certification.

This qualification covers:

• Data mining
• Data manipulation
• Data visualisation
• Reporting and interpretation

Study time: 30 hours

Assessment: 1-hour professional exam

You’ll receive tutor support, exam simulators, and a live online revision workshop before sitting your exam.

Step 3 - Business Analysis Foundation (BCS Accredited)

Data Analysts and Business Analysts work closely together - and many professionals move between both roles.

You’ll complete the Business Analysis Foundation certification, accredited by the BCS (Chartered Institute of IT).

Study time: 15 hours

Assessment: Online exam

This increases your employability and broadens your career options.

Step 4 - Recruitment Support

Once qualified, our recruitment team works with you to secure your first entry-level Data Analyst role.

You’ll receive:

• Full CV review tailored to your new qualifications
• Job application support
• Mock interviews
• Ongoing career guidance
• Access to roles suited to your profile

Most candidates secure their first role within 1-3 months of qualifying - often sooner in major cities.

Ready to Start?

If you’re analytical, ambitious, and ready to build a career in one of the most in-demand sectors in the UK, we’ll help you take that first step.

Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer your questions and guide you towards your new Data Analyst career.

Senior Pricing Strategy & Transformation Lead - Insurance

London Hybrid 2 days in office
£85,000 + 20% bonus

We are working with an international General Insurance carrier seeking a Senior Pricing Strategy & Transformation Lead to drive pricing capability across SME and specialty insurance portfolios.

This role sits directly alongside underwriting leadership and plays a key role in improving rate adequacy, portfolio performance and pricing governance across multiple international markets.

About the Role

You will lead pricing enhancement and transformation initiatives within commercial and specialty insurance lines, partnering closely with underwriting teams to deliver measurable improvements in margin, loss ratio and portfolio performance.

You will combine technical pricing expertise with commercial influence to modernise pricing frameworks and embed scalable solutions across underwriting operations.

Key Responsibilities

• Lead pricing strategy and transformation across SME and specialty General Insurance portfolios
• Recalibrate and enhance GI pricing models using Python and advanced Excel
• Partner directly with underwriters to improve rate adequacy and segment performance
• Analyse loss ratio, frequency and severity trends to inform pricing decisions
• Identify and resolve operational bottlenecks within pricing and underwriting workflows
• Support integration and standardisation across international insurance portfolios
• Mentor pricing analysts and represent pricing in senior underwriting forums

About You

We are specifically seeking candidates with General Insurance pricing experience.

You will bring:

• Experience in commercial, SME or specialty General Insurance pricing
• Practical experience working alongside underwriting teams
• Strong understanding of loss ratio, rate adequacy and portfolio performance metrics
• Applied modelling capability in Python and advanced Excel
• Experience delivering pricing improvement or transformation initiatives
• The ability to influence senior underwriting and portfolio stakeholders

Candidates from motor or consumer lending backgrounds without broader commercial insurance exposure are unlikely to be suitable.

Why Join

• High visibility role Embedded within underwriting
• Genuine influence over pricing strategy and portfolio performance
• Exposure to international commercial insurance markets
• Opportunity to modernise pricing capability within a growing insurer

For a confidential discussion, contact Alex Holliday: (see below) at Pioneer Search or apply via the link.

Description

The Asset Risk Senior Risk Modeller role sits in the Asset Risk Function, which has the responsibility for forecasting Motability Operation’s key financial risks, including Residual Value and SMR, Insurance Lease Pricing, Economic Capital, as well as producing the customer pricing. This role sits in the Asset Risk Modelling Team, operating in a matrix way of working, responsible delivering a strong model risk management framework, and ensuring all forecast models are robustly implemented, operated, enhanced and developed in conjunction with joint ownership for the outcomes and outputs with business SME’s.

Reporting into the Asset Risk Modelling Manager, the role has the following key responsibilities

• You will proactively support and inform the delivery of the Asset Risk strategy in alignment with the needs of the wider business strategy
• You will work with the Modelling Manager to oversee the operational delivery of the model risk management framework in Asset Risk, ensuring model health, reporting, processing, auditing and reporting requirements are met and provide steer and challenge to ensure improvements are approved and delivered
• You will take the lead and proactively engage with the critical thinking and operational activity needed for the accurate and timely delivery of the critical BAU requirements for all key models associated with residual value forecasting, maintenance spend, insurance, customer pricing, and economic capital
• You will maintain a deep understanding of, and be responsible for the challenging of, the model components - design principles, use of data, assumptions, applied statistical and modelling techniques - for the BAU models, helping to create and deliver the effective communication required to bridge the gap between the models and Asset Risk deliverables
• You will take the lead and proactively engage with the critical thinking and activity required to deliver the strategic projects from the Modelling team, ensuring all deliverables and outcomes are jointly owned with business SME’s
• You will work with the Modelling Lead to ensure the Modelling Team are as engaged with explaining and owning the outputs and outcomes as they are with operating and developing our models, and with the equivalent engagement from non-modelling teams
• You will proactively challenge the way we work, and feed into the Asset Risk Strategy roadmap, and support in ad hoc queries where possible
• You will form collaborative relationships to ensure the Model Team deliverables (BAU and strategic projects) are effectively managed and delivered in line with a matrix way of working approach across the Asset Risk Operational Teams and fellow Asset Risk output owners
• You will play a pivotal role in ensuring the AR Operational Teams (Programme, Product, Modelling and Data) work closely with each other to support on cross over areas (e.g. tools) and reduce the opportunity for knowledge gaps
• You will be an effective coach and mentor for the wider Modelling Team, working with the Modelling Manager to ensure the team and individuals have the right skills and development paths to meet the needs of the business.
• You will be an advocate for Asset Risk, and work with colleagues around the business to promote best practices and skills & knowledge sharing.
• You will develop collaborative and enduring relationships with the Asset Risk and wider business leadership teams, relevant stakeholders, and be an advocate for Asset Risk and our ways of working
• You will proactively work with the Modelling Lead to engage with relevant 3rd parties (industry bodies, commentators and experts) to ensure Asset Risk activities are appropriately aligned with external best practice.

Qualifications

• Planning: Ability to coordinate multiple stakeholders, colleagues and deadlines
• Modelling: Ability to understand, operate, and explain complex models
• Accuracy & attention to detail: Ensuring accuracy in models and forecasts.
• Problem solving skills: Ability to develop solutions for complex financial problems.
• Communication skills: Can explain technical concepts to non-technical stakeholders.
• Commercial awareness: Can understand the business environment, market trends, and the financial impact of decisions to align models with the organisation’s strategic goals.

Minimum criteria
You’ll need all of these.

• A degree (Bachelor’s or Masters) in Statistics, Mathematics, Economics, Data Science, or a related field
• Experience in forecasting, data analysis, or a related field
• Experience of delivering complex model updates (operational and development) with the effective communication of model outcomes
• Proven experience with statistical software (e.g., R, Python, SAS) and forecasting tools
• Experience managing complex projects and coaching analysts

Desirable criteria

• Experience in the specific industry relevant to the forecasting role (e.g., finance, retail, manufacturing) is highly valuable
• Experience with advanced analytical techniques, including machine learning and predictive modelling

Benefits

Motability Operations is a unique organisation, virtually one of a kind. We combine a strong sense of purpose with a real commercial edge to ensure we provide the best possible worry-free mobility solutions to over 815,000 customers and their families across the UK. Customers exchange their higher rate mobility allowance to lease a range of affordable vehicles (cars, wheelchair accessible vehicles, scooters, and powered wheelchairs) with insurance, maintenance and breakdown assistance included. We are the largest car fleet operator in the UK (purchasing around 10% of all the new cars sold in the UK) and work with a network of around 5,000 car dealers and all the major manufacturers. We pride ourselves on delivering outstanding customer service, achieving an independently verified customer satisfaction rating of 9.8 out of 10.

Our values are at the heart of everything we do. They represent ambition, and we look for our people to live and breathe them every day:

• We find solutions
• We drive change
• We care

We operate hybrid working across the organisation where we split our time between working on-site at our offices, and at home, remotely within the UK. We believe hybrid working achieves a good work/life balance for our colleagues, allowing us to connect with each other, collaborate on important work, and perform together to deliver for our customers. It allows us to have the flexibility to work remotely up to 2-days per week whilst also using the great office spaces we have available.

As a Motability Operations team member, the benefits you can expect are:

• Competitive reward package including an annual discretionary bonus
• 15% non-contributory pension (9% non-contributory pension during probation period)
• 28 days annual leave with option to purchase and sell days
• Free fresh fruit and snacks in the office
• 1 day for volunteering
• Funded Private Medical Insurance cover
• Electric/Hybrid Car Salary Sacrifice Scheme and Cycle to Work Scheme
• Life assurance at 4 times your basic salary to give you a peace of mind that your loved ones will receive some financial help
• Funded health screening for over 50s
• Voluntary benefits: charitable giving, critical illness insurance, dental insurance, health and cancer screenings for you and your partner, discounted gym memberships and season ticket loans
• Employee Discount Scheme with an app to save on the go
• Free access to healthcare apps such as Peppy, Unmind, Aviva Digital GP and volunteering app on Hand for all employees
• Generous family leave policies

At Motability Operations, we believe in building a diverse workforce, where our people are empowered to attend work as their true selves, and we encourage people from all backgrounds to apply. We want to sustain a culture that nurtures, where employees are free to flourish and where they’re rewarded equally, regardless of race, nationality or ethnic origin, sexual orientation, age, disability, or gender.

We pride ourselves on being an inclusive employer and as such, all our offices provide first rate disability access. With our hybrid working environment, we do our best to accommodate part-time and flexible working requests where possible, building on our culture of trust, empowerment, and flexibility.

Raytheon UK has a unique, perm opportunity for a Senior Data Scientist and Machine Learning Researcher to join our Strategic Research Group (SRG).

As a Senior Data Scientist and Machine Learning Researcher, you will be responsible for the technical development and leadership of AI/ML projects from initial idea scoping right through to final project delivery both in customer and internal domains. You will demonstrate novel thinking and propose new ideas for solving challenging problems while mentoring others on your project team to deliver towards your proposed solution.

Based in Gloucester, Manchester or London in a hybrid capacity (average of 3 days a week on-site). You must be eligible and willing to gain SC and eDV clearance.

Responsibilities

Develop complex, novel data science solutions, contributing significantly to machine learning projects with minimal guidance

Brings experience in scoping, designing, and delivering data-centric solutions while working collaboratively across disciplines

Undertake research and applied AI/ML tasks on both customer and internal research projects

Generate ideas for new research directions and provide technical leadership in small project groups

Mentor more junior team members within their project team and the wider SRG

Work with customers and internal stakeholders, with varied technical knowledge, to determine appropriate technical approaches and do the technical development required for delivery.

Required Skills & Experience

BSc in Machine Learning, Data Science, Computer Science, Mathematics or related field

Experience coding in Python and associated ML packages (HuggingFace, TensorFlow, PyTorch)

Proven experience of delivering ML solutions to customers and internal stakeholders

Demonstrate deep understanding of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to undertake research and development beyond existing literature.

Experience of training and developing AI models including Large Language Models

Ability to produce high-quality scientific writing for internal & external stakeholders as well as academic publications

Experience of mentoring and undertaking technical leadership on small projects

Desirable Skills & Experience

PhD. or Masters degree

Experience using robust ML pipelines, appropriate version control and environment management (e.g. venvs or Docker)

Working knowledge of Linux systems, using basic commandline functionality (e.g. AWS CLI, Docker CLI, Linux commands)

Experience of deploying AI models in a scalable way for external users

Experience working in Cloud, preferably AWS but also GCP or Azure

Research publications in peer reviewed journals

Experience of writing technical project proposals

Benefits and Work Culture

37hr working week with early finish Fridays - start your weekend early!

An informal, flexible working culture that is output focused

25 days holiday + statutory public holidays, plus opportunity to buy and sell up to 5 days and up to 5 paid days volunteering

Contributory Pension Scheme (up to 10.5% company contribution)

Annual company bonus scheme (discretionary)

6 times salary Life Assurance with pension

Flexible Benefits scheme with extensive salary sacrifice schemes, including Health Cashplan, Dental, and Cycle to Work, amongst others

Enhanced sick pay

Enhanced family friendly policies including enhanced maternity, paternity & shared parental leave

Raytheon UK

This business area provides DevSecOps at scale, Artificial Intelligence, Machine Learning, cyber and geospatial intelligence capabilities to support the defence, intelligence and cyber sectors. Collaborating with customers and suppliers to deliver secure, mission critical systems using the latest technologies and innovations.

Joining our team means being part of an organisation that shapes the future of national security whilst investing in your growth and personal development. Together, we are not just advancing technology; we’re building a community committed to safeguarding a safer and more connected world.

RTX

Raytheon UK is a landed company and part of the wider RTX organisation. Headquartered in Arlington, Virginia, USA, but with over 180,000 employees globally across every continent, RTX provides advanced systems and services for commercial, military and government customers worldwide and comprises three industry-leading businesses - Collins Aerospace Systems, Pratt & Whitney, and Raytheon.

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PRICING ANALYST (INSURANCE)

£40,000

EAST ENGLAND (CAN BE REMOTE BASED WITH OCCASIONAL TRAVEL)

This is an exciting opportunity to join a growing business in the insurance space where you can make a real impact on the business. You’d be able to work across a range of pricing analytics projects, within a small team to really take ownership of your work and the wider team.

THE COMPANY

Our client are an exciting insurance business that are growing well. They’ve gone from strength to strength in recent years and this role is part of their increased presence in the market. You’d be able to work in a close-knit and focused team there with a focus on data and pricing.

THE ROLE

• Work on rate-changes, pricing adjustments and data-led pricing structures
• Refresh, validate and develop risk pricing models for new and current offerings
• Work with aggregators and market analysis to understand trends and customer behaviours
• Develop and implement competitive pricing strategies

YOUR SKILLS AND EXPERIENCE:

• Minimum 1 year experience within insurance or wider financial services OR a placement year in the same area
• Experience in pricing models or strategy is highly desirable
• Experience using SAS/SQL/Python or R
• Strong communication skills and desire to ‘hit the ground running’

SALARY AND BENEFITS

• Up to £40,000 base salary
• Discretionary bonus scheme
• Contributory pension scheme
• Hybrid work model
• 25 days holiday

HOW TO APPLY

Please register your interest by sending your CV to Rosie Walsh through the ‘Apply’ link

Job Title: Principal Pricing Analyst

Locations: This can be a largely remote position with the occasion travel to the office closest to you. We have offices based in Manchester, Stoke, London and Peterborough.

Role Overview

Markerstudy Group are looking for a Principal Pricing Analyst to join a quickly growing and developing pricing department across a range of insurance lines.

You will utilise your technical expertise, in-depth knowledge of insurance industry and market leading tools to produce creative and actionable pricing solutions. This role requires a large element of coaching team members and championing best practice across the department.

Reporting to the our Associate Director, you will make use of WTW Radar and Emblem and you will have responsibility for the development and maintenance of predictive models (GLM) and price optimisation including machine learning algorithms (GBM), LTV (Lifetime Value) and fair pricing principles. Ultimately creating value for our customers.

Bringing best in class pricing experience, you’ll be expected to provide pricing proposals considering customer and commercial outcomes, communicating these in a compelling, impactful way to all levels of stakeholders to help us make the right decisions at the right times.

You’ll work on multiple priorities within a fast paced, dynamic environment. You’ll need to be able to manage the expectations of stakeholders alongside prioritising your workload.

As a Principal Pricing Analyst, you will use your advanced analytical skills to:

• Be a key stakeholder influencing the direction & outcome of projects
• Provide technical leadership on WTW toolkit (in particular Radar Optimiser) to drive forward effective and efficient solutions
• Provide thought leadership on optimisation and modelling concepts
• Research, develop and champion the use of best practice methods and standards and ensure they are embedded throughout the department
• Lead the development of the Groups pricing capability
• Query large databases to extract and manipulate data that is fit for purpose
• Oversee and assist in the development and implementation of the market leading methodologies you’ve identified
• Continuously evaluate methodologies, understanding how they fit into the wider piece, and identify where they can be improved

Key Skills and Experience:

• Previous experience within general insurance pricing
• Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering
• Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL)
• A quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science)
• Experience of WTW’s Radar software
• Proficient at communicating results in a concise manner both verbally and written

About us

Markerstudy Group is a major force in UK general insurance market, combining scale with innovation. Markerstudy Group have deep product and distribution reach through multiple brands and an experienced leadership foundation coordinating diverse and fast-evolving business units. The Group employs more than 6,000 people across the UK.

We have an exciting opportunity to join us here at Covéa Insurance  as aSenior Pricing Manager , focussing on the delivery of our key strategic objectives within Commercial Lines .

At Covéa Insurance , we’re all about protecting what matters most - whether it’s your home, your car, or your business. With our award-winning customer service and a wide range of insurance products, we’re here to make a real difference.

We’re looking for a candidate who has extensive technical pricing experience, ideally within Commercial Lines, and is keen is keen to provide subject matter expertise and leadership across the pricing team.

This role is fully remote, giving you the flexibility to work from the comfort of your home. Prefer the buzz of the office? You’re welcome to come in whenever you like!

Step into a role where your potential is valued and your growth is supported .

What does a day-to-day look like?

• Driving modelling and rating enhancements with the Head of Analytics and senior leaders to strengthen loss ratios, sharpen risk selection, and fuel business growth
• Leading and developing a high‑performing, diverse pricing team, championing company values and fostering a culture of agility, accountability, and continuous improvement
• Elevating pricing capability by embedding best practices, strengthening governance, and ensuring robust controls
• Harnessing internal, external, and broker‑level data to refine predictive models and deliver sustained profit and growth
• Acting as the Pricing subject matter expert in key forums, offering clear technical guidance and translating complex insights for non‑technical audiences
• Maintaining deep expertise in core Pricing and Data Science tools, including Willis Towers Watson Radar, SQL, Python, and Databricks
• Staying ahead of market and technology trends to drive innovation and optimise pricing infrastructure and processes

Do you have what it takes to succeed?

• Deep expertise in predictive modelling and machine learning for Technical Pricing, across motor and home products
• Experience as a self‑driven leader, with the ability to motivate, develop, and manage teams while performing effectively under pressure
• Strong numerical and analytical capability, with exceptional attention to detail and accuracy
• Sharp critical thinking and natural intellectual curiosity, with a proven ability to solve complex problems
• Confident communicator with strong interpersonal skills
• Collaborative mindset with the agility to work closely with senior stakeholders and adapt to fast‑moving market demands
• Project management capability is a strong advantage
• Minimum 2:1 bachelor’s degree (or equivalent) in a relevant numerical discipline, or equivalent professional experience

Not sure if you tick every box? That’s okay!   At Covéa, we know that great people don’t always meet every single requirement listed in a job ad. If this role excites you and you think you could be a good fit, we’d love to hear from you - so go ahead and apply! We’re all about building a diverse, inclusive team where everyone can thrive.

The perks of joining us…

• Flexible working  – 36.25 hours a week with flexitime & hybrid options

• Annual pay review  – plus performance bonuses (up to 30% depending on level)

• Generous holidays  – 25–27 days + bank holidays, with buy/sell options

• Pension perks  – 7.5% employer contribution, rising to 9% with your input

• A culture where everyone belongs – we’re committed to diversity, equity & inclusion, with real action, employee-led community groups, and ongoing learning to make Covéa a place where everyone can thrive

• Mental & financial support  – through our dedicated Wellbeing group

• Career growth  – training, qualifications & apprenticeships to help you thrive

• Health & wellbeing  – private medical cover, 24/7 Virtual GP, health checks, flu jabs & more

• Drive in style  – Tusker Car Scheme with fully maintained insured vehicles

• Extra savings  – gym discounts, Cycle to Work, and retail offers via Perkpal

• And much more !

Excited about this opportunity? So are we! 
Apply today and be part of our journey.

As a Disability Confident Employer, we’re committed to fair and accessible recruitment. If you need any adjustments,  support or alternative application options during the Recruitment process, then please reach out to Megan Barraclough or one of our Team at

Applicants must currently reside in the United Kingdom and possess full and unrestricted right to work in the UK. Unfortunately, we are unable to offer Visa sponsorship for this role.

Salary:

Dependent on Experience

Working hours:

36.25

Pricing Analyst 1 - Halifax

An exciting opportunity has arisen to join our Pricing Implementation team as a Pricing Analyst ! We’re looking for a candidate who has either some experience working in insurance pricing or is keen to pursue a career in the field.

The ideal candidate enjoys tackling complex problems, thrives in a collaborative team environment, and brings an inquisitive, curious mindset.

Our mission is to build inclusive, empowered teams where everyone feels welcome and valued! We celebrate what makes each of us unique and believe that diversity drives innovation and success. Whoever you are, we want you to feel confident being yourself in your team at work.

This is a hybrid position, combining the best of both worlds - working from home and spending time in our Halifax or Reading office.

Step into a role where your potential is valued and your growth is supported.

What are the core responsibilities?:

• Implement agreed rate changes through model deployments and updates to rate specifications
• Develop, maintain, and execute test cases to validate rate changes
• Analyse and assess new rating factors, and collaborate on pricing structures that incorporate them
• Support pricing capability by ensuring robust controls are adhered to and the governance framework is followed and evidenced
• Support IT project development by shaping the pricing updates required
• Build and maintain an in-depth knowledge of the pricing, analytical and data science tools used across the team, including Willis Towers Watson Radar, SAS Enterprise Guide, SQL and Databricks
• Automate, streamline, and document pricing processes, to improve efficiency
• Undertake other duties over and above those listed in the job description, appropriate to your skills and experience

What will help you stand out?

• Strong numerical and analytical skills, with a natural aptitude for problem‑solving
• High attention to detail, accuracy, and effective time‑management
• Clear communication skills and the ability to build strong working relationships
• Self‑motivated, resilient, and able to work under pressure both independently and within a team
• 2:1 or higher in a numerical discipline or equivalent experience
• Experience analysing data and interpreting results (desirable)
• Understanding of general insurance pricing and underwriting principles (desirable)

Not sure if you tick every box? That’s okay!
At Covéa, we know that great people don’t always meet every single requirement listed in a job ad. If this role excites you and you think you could be a good fit, we’d love to hear from you - so go ahead and apply! We’re all about building a diverse, inclusive team where everyone can thrive.

The perks of joining us…

• Flexible working  – 36.25 hours a week with flexitime & hybrid options
• Annual pay review  – plus performance bonuses (up to 30% depending on level)
• Generous holidays  – 25–27 days + bank holidays, with buy/sell options
• Pension perks  – 7.5% employer contribution, rising to 9% with your input
• A culture where everyone belongs – we’re committed to diversity, equity & inclusion, with real action, employee-led community groups, and ongoing learning to make Covéa a place where everyone can thrive
• Mental & financial support  – through our dedicated Wellbeing group
• Career growth  – training, qualifications & apprenticeships to help you thrive
• Health & wellbeing  – private medical cover, 24/7 Virtual GP, health checks, flu jabs & more
• Drive in style  – Tusker Car Scheme with fully maintained insured vehicles
• Extra savings  – gym discounts, Cycle to Work, and retail offers via Perkpal
• And much more !

Excited about this opportunity? So are we!
Apply today and be part of our journey.

As a Disability Confident Employer, we’re committed to fair and accessible recruitment. If you need any adjustments or support during the application process, just let us know - we’re here to help.

Applicants must currently reside in the United Kingdom and possess full and unrestricted right to work in the UK. Unfortunately, we are unable to offer Visa sponsorship for this role.

Salary:

£28,000

Working hours:

36.25

My client is a fast-growing UK FinTech business serving thousands of customers. They are investing heavily in their data capability and are now looking to appoint a Lead Data Scientist to drive end-to-end machine learning delivery within a regulated financial environment.

This is a hands-on leadership role combining technical ownership, team development, and production-grade model deployment.

The Role

As Lead Data Scientist, you will:

Lead and develop a growing Data Science team, setting standards and delivery cadence

Own end-to-end ML solutions - from problem framing and feature engineering to deployment, monitoring, and governance

Translate business objectives into modelling strategies aligned to risk appetite and operational constraints

Build and deploy models using Python, SQL, and AWS (SageMaker or equivalent)

Partner closely with Engineering, Data, and Risk/Financial Crime teams to ensure robust, production-ready solutions

Establish monitoring frameworks for performance, drift, and retraining

Drive clear documentation, traceability, and governance appropriate for a regulated environment

This role requires someone who thinks beyond experimentation - focusing on operational impact, adoption, and long-term model performance.

Essential Experience

Proven commercial ML/Data Science delivery with measurable impact

Experience taking models into production and managing performance over time

Prior experience leading or mentoring Data Scientists

Strong Python (pandas, numpy, scikit-learn or similar)

Strong SQL (complex joins, aggregations, analytical functions)

Solid grounding in applied statistics, evaluation design, calibration, bias/fairness

Experience working closely with Engineering/Data teams in production-first environments

Comfortable operating within regulated industries

Desirable

AWS experience (S3, Athena/Glue, IAM, Lambda)

SageMaker or equivalent ML platform experience

Financial services domain knowledge (risk, fraud, affordability, payments)

Experience with model explainability and governance documentation

Package & Benefits

Hybrid working model

Competitive pension

Additional paid leave (birthday, charity, wellbeing, life events)

Employee assistance programme & Virtual GP

Modern collaborative office environment

Interested? Please Click Apply Now!

Lead Data Scientist

Shape the Future of AI Innovation

Move beyond delivery work into structured R&D where your technical insights directly influence strategic technology decisions. You’ll explore cutting-edge AI and automation technologies, build evidence-based recommendations, and help define our innovation roadmap.

About the Role

We’re building a disciplined R&D capability to explore emerging technologies, validate new approaches, and feed high-quality innovation into our Product and Engineering teams.

As our AI Research Engineer / Analyst (R&D), you’ll generate the technical evidence that supports strategic decisions. You’ll research AI and automation technologies, evaluate vendors and tools, build timeboxed proofs of concept in Python and/or C# (accomplished coding skills required, but this is not a “developer” role), and produce clear, decision-ready outputs.

This is not a BAU delivery role. It’s structured, evidence-led innovation.

You’ll report functionally to the Head of R&D, with day-to-day coaching from the Senior R&D Engineer.

Salary: £45K - £50K Basic + Bonus + Benefits (25 days holiday, 7% matched pension scheme, private health plan, flexible holiday purchase, remote or hybrid working & much more!)

Location: Remote or North East. Hybrid office work / flexible / remote. Durham, Newcastle, Middlesbrough, Sunderland, etc. Although, we are very flexible to this, so more remote fine. As far down as Leeds or the other way & up toward Edinburgh!

What You’ll Do

Research & Evaluation

Scan the market for emerging AI, orchestration, and automation technologies
Conduct structured vendor and platform evaluations
Assess technical fit, integration complexity, security posture, cost, and viability
Stay current with LLMs, AI APIs, frameworks, and cloud services
Produce concise evidence packs and recommendation summaries

Hands-On Prototyping

Build lightweight PoCs to validate APIs and technical hypotheses
Explore AI capabilities practically (model behaviour, integration patterns, performance limits)
Contribute Python and/or C# code under technical directionFocus: validation and insight — not production-grade implementation.

Documentation & Process

Own R&D documentation, decision logs, and handover packs
Maintain backlog discipline and enforce stage-gate standards
Ensure findings are captured clearly and nothing falls through the cracks

What You’ll Bring

Essential

2+ years in a technical analyst, research, or solutions-focused role
Hands-on coding ability in Python and/or C# (We need some here, but you’ll work with the Senior R&D engineer who will guide you on coding)
Practical understanding of AI/ML landscape (LLMs, APIs, strengths & limitations)
Strong analytical thinking and structured evaluation skills
Excellent written communication — clear, concise, decision-ready outputs
Self-directed working style with confident stakeholder engagement
Familiarity with workflow orchestration / BPMN fundamentalsDesirable

Experience building AI-integrated applications
API and cloud platform exposure
Vendor/technology selection experience
Knowledge of process automation or orchestration platforms

What Success Looks Like

Within your first 90 days, you will have:

Contributed to live evidence packs
Helped standardise R&D evaluation templates
Supported an initiative through to handover-ready recommendationLonger term, success is measured by the clarity, quality, and adoption of your R&D outputs.

Why Join

Direct exposure to cutting-edge AI and automation
Real influence over technology decisions
Clear progression into Senior R&D or specialist AI roles
Close collaboration with Architecture, Engineering, and ProductWe’re looking for curiosity and rigour in equal measure — someone excited by emerging AI, but disciplined enough to separate signal from noise.

Ready to shape our AI innovation strategy? Apply now and help us turn emerging technology into competitive advantage

Job Title: Senior Clean Water Modeller

Salary: £55,000 - £65,000/year

Location: Fully remote

Contract Type: Permanent, Full Time

Hours: 37

About the role

We are looking for an experienced Senior Clean Water Modeller with expertise in InfoWorks WS Pro to support the development and application of clean water distribution models. You will play a key role in strategic planning, operational optimisation, leakage reduction and regulatory compliance across potable water networks.

What you will be responsible for:

• Lead the development, maintenance and calibration of clean water hydraulic models using InfoWorks WS Pro.
• Validate models against telemetry, logger and flow/pressure test data.
• Conduct scenario modelling to assess network performance under normal and stress conditions.
• Support operational teams with real-time and predictive modelling for pressure management and resilience.
• Provide modelling for investment planning, including mains reinforcement, DMA creation and growth impact.
• Simulate water quality parameters such as water age, chlorine decay and booster performance.
• Mentor junior modellers and contribute to modelling standards, QA/QC and workflow automation (Python, SQL).
• Prepare and present reports and visualisations for internal and external stakeholders.

What youll bring to the role:

Essential:

• Understanding of water and wastewater engineering within the UK Water Industry.
• Degree (MEng/BEng/BSc) or HNC in Engineering, Environmental Science or related field.

Were Hiring! Senior Pay Data Analyst!

Location: Morley/Hybrid

At Evri, our service providers are at the heart of everything we do. Making sure they are paid fairly, accurately and on time is essential to building trust and keeping our operations running smoothly.

As a Senior Pay Data Analyst, you’ll play a vital role in delivering Evri’s Fair Pay commitments. In this highly analytical role, you will use advanced SQL, Databricks and data modelling to ensure pay is accurate, compliant and fair!
Acting as a senior escalation point and subject matter expert, you will support complex pay modelling, system configuration and high-priority operational issues.
Working closely with finance, payroll, operations and technology teams, you will be translating complex data into clear, actionable insight for senior stakeholders.

This role suits an experienced analyst who thrives in a fast-paced, real-time operational environment and enjoys balancing deep technical work with business impact.

Interested? Take a look below to understand what you’ll be doing as a Senior Pay Data Analyst:

• Supporting fair, accurate and timely pay for our service providers, in line with Evri Fair Pay and National Living Wage requirements
• Using SQL and reporting tools to analyse large datasets, resolve complex pay issues and provide clear insight to the business
• Building and maintaining logic models, reporting solutions and Databricks datasets that support operational reporting and payment accuracy
• Proactively identifying opportunities to improve pay processes, systems and ways of working
• Providing expert analytical input to complex or escalated pay queries
• Supporting the configuration, testing and ongoing accuracy of pay systems, ensuring changes are implemented correctly
• Creating clear, business-friendly documentation to explain payment logic and methodologies
• Supporting pay runs to ensure they are accurate and on time, and providing cover for the Courier Pay Manager when required

Still interested? Great News! We are looking for:

• Strong experience using SQL for data analysis and problem solving
• The ability to stay calm, focused and effective in a fast-paced, operational environment
• Experience with Power BI and pay or finance operations is desirable, but not essential
• A proactive, improvement-focused mindset with strong attention to detail
• The confidence to lead analytical workstreams and influence across multiple teams
• Excellent communication skills, with the ability to turn complex data into clear, practical insight

What success looks like:

• Service providers are paid fairly, accurately and on time
• Complex pay issues are resolved quickly and clearly
• Pay processes and systems are simpler, stronger and more efficient
• You help deliver annualised cost savings while protecting fairness and compliance
• You are trusted as a subject matter expert and valued partner across the business

At Evri, we’re proud of our people-first culture. We believe in doing the right thing, supporting each other and constantly finding better ways to work. You’ll be encouraged to bring your ideas, develop your skills and make a real impact in a business that values fairness, collaboration and progress.

We are Evri. Where everyone is welcome.

We’re excited for the future. Let’s deliver it together.

Description
Join us, be part of more.

We’re so much more than an energy company. We’re a family of brands revolutionising how we power the planet. We’re energisers. One team of 21,000 colleagues that’s energising a greener, fairer future by creating an energy system that doesn’t rely on fossil fuels, whilst living our powerful commitment to igniting positive change in our communities. Here, you can find more purpose, more passion and more potential. That’s why working here is #MoreThanACareer. We do energy differently - we do it all. We make it, store it, move it, sell it and mend it.

About your team:

At Centrica Energy, our mission is to move it.

We’re energy movers by nature. We’re a global renewable energy trading company which helps move energy from source to use - powering businesses, homes, and societies as they transition to a new sustainable energy future. If the idea of working to create a sustainable energy future also moves you, we may very well be the right place for you.

The Quantitative Analytics team at Centrica Energy is part of the Trading Analytics and Algorithms centre of excellence, and is responsible for:

• Delivering quantitative analysis of complex and structured products, that provides insight to help traders to maximise value and manage risk
• Designing and implementing complex mathematical models that allow for consistent pricing and joint risk quantification across multiple portfolios, enabling more holistic and optimal hedging decisions
• Assisting originators in development of structured products across the Renewables, LNG, Gas & Power sectors.

As a Senior Quantitative Developer you will become part of an agile team of circa 10 people located across our offices in both London (UK) and Aalborg (Denmark), with a broad remit to support the development, and use of, our pricing and risk management models and systems. As well as consulting on software design, systems architecture and software engineering practices.

This role will be situated in our London or Aalborg office and the successful candidate will be required to:

• Produce high quality increments to the team’s model library - working both individually and collaboratively.
• Providing leadership in areas such as object modelling & interface design, automated testing & refactoring and performance optimisation.
• Provide support to Trading & Origination on model usage and behaviour.
• Leverage the teams cross-asset expertise to connect business locations, helping to identify synergies and increase efficiency.

Here’s what we’re looking for:

• Master’s Degree or PhD qualification within science, computing, mathematics or other quantitative subject.
• Solid experience of code development in Python, including:
  • Experience developing in an Agile environment
  • Use of math/stats & testing libraries, as well as modern build tools.
  • Ability to refactor code and work effectively with legacy systems.
• Knowledge of Object Orientation, Software Architecture and Design Patterns.
• Good understanding of software testing practices (unit testing, integration testing, etc.). Knowledge of TDD and BDD is a strong plus.
• Experience with DevOps practices and tooling (CI/CD, containerization etc) is desirable.
• Familiarity with mathematical and statistical models used in finance, particularly with regards to derivatives pricing and risk management systems.
• Familiarity or high level of interest in Energy / commodity markets.
• Strong Communicator and fluent in English language.
• Strong interpersonal skills.

#LI-CET

Why should you apply?

We’re not a perfect place - but we’re a people place. Our priority is supporting all of the different realities our people face. Life is about so much more than work. We get it. That’s why we’ve designed our total rewards to give you the flexibility to choose what you need, when you need it, making sure that you and your family are supported not only financially, but physically and emotionally too. Visit the link below to discover why we’re a great place to work and what being part of more means for you.

https://www.morethanacareer.energy/centricaenergy

If you’re full of energy, fired up about sustainability, and ready to craft not only a better tomorrow, but a better you, then come and find your purpose in a team where your voice matters, your growth is non-negotiable, and your ambitions are our priority.

Help us, help you. We would love for you to share any information about yourself throughout our recruitment process so that we can better understand you and help shape your journey.

Your New Role

We have an exciting opportunity for a Senior Data Analyst to join our Transport Infrastructure team based in Polmadie, Glasgow. This is a full-time, permanent position offering hybrid working and a 37.5-hour week, Monday to Friday.

As a Senior Data Analyst, you’ll play a key role in providing high-quality data and insight to contract and divisional management teams, helping drive performance across our Scotland and Northern Ireland accounts.

You will be responsible for:

• Supporting the creation of training materials and helping operational managers use reporting tools and dashboards effectively.
• Producing performance and exception reports, including daily/weekly/monthly reporting aligned to contract targets.
• Conducting dynamic planning and developing reporting that improves logistics, planning and overall operational efficiency.
• Working with contract and digital teams to drive ongoing improvements and develop agreed objectives.
• Identifying and liaising with local data owners to ensure accurate, timely and complete data capture across systems.
• Ensuring all performance data is validated, formatted correctly and submitted on time to required stakeholders.
• Maintaining standardised data formats compatible with the data lake and ensuring system integrity.
• Creating analytical reports combining sources such as Masternaut and timesheets to demonstrate productivity.
• Responding to ad hoc requests for performance-related data and insight.
• Analysing KPIs to identify trends, issues and improvement opportunities, including benchmarking against similar contracts and industry standards.
• Collaborating with Group IT to enhance and automate data collection processes.
• Challenging data contributors where required to ensure accuracy and reliability.
• Preparing clear, insightful reports for senior managers with recommended actions.
• Capturing and evaluating innovations and ideas from the business and promoting a culture of fact-based decision-making, constructive challenge and collaboration.

We want to hear from you if you have:

• Strong desire to support operational teams and improve efficiency across the contract
• Advanced Excel skills and confidence working with data
• Ability to use Microsoft Power Platform to create automations and dashboard reporting
• Excellent communication and presentation skills, able to explain complex data clearly
• Strong analytical, organisational, and planning abilities
• Willingness to embrace new technologies, including AI, to enhance processes
• Ability to challenge data accuracy and review existing processes constructively
• Demonstrates creativity, innovation, and a continuous improvement mindset
• Able to work collaboratively with operational teams and influence decision-makers through data-driven insights
• Capable of working independently and as part of a team to design and implement reporting solutions
• Maintains strong awareness of Health & Safety requirements
• Knowledge of Highways Maintenance (advantageous)

In addition to this, it would be essential if you a relevant academic development or experience in a similar data or performance-focused role

What we offer you

When you join us, we can offer flexibility, career development, a choice of benefits and support that help you through all life’s ups and downs. It’s the reason why Investors in People put us among the top 1% of employers and we have a competitive reward and benefits program.

• Career Development - Exceptional development and progression plan
• Pension - Generous Pension scheme which we will contribute to
• Holidays - Minimum 24 days holiday + Bank Holidays
• Choices - Our flexible benefits scheme is tailored by you, including buying additional annual leave, cycle2work scheme, charity giving and gym membership
• Save with Amey - Our online voucher portal gives you access to thousands of discounts from leading retailers to help you save on shopping, days out, or nights in. It includes healthcare, free GP service, dental vouchers
• Social Value - You’ll get 2 Community Involvement Days each year to volunteer for a charity of your choice and further opportunities to support fundraising initiatives

Application Guidance

At Amey, we value a culture of diversity and inclusion. We encourage applications from individuals who are passionate about making a positive impact, no matter their background, gender, race, or personal circumstances. We believe everyone deserves the opportunity to shine.

As a Disability Confident leader, we’re proud to offer applicants with a disability an interview if they meet the minimum requirements for the role.

If you have any questions or need any adjustments during the recruitment process, don’t hesitate to reach out to Susan Rutherford, our recruiter for this role, at (url removed) .

Senior / Principal Analyst / Data Scientist

Location - Winchester, Hants, Hybrid role

Salary - £40K-£75K plus bonus and benefits

Our client islooking for a positive, flexible self-starter to join their team as a Senior Analyst. This is an exciting opportunity to play a leading role in delivering analysis capability as an integral part of a small, agile and growing business.

You will have strong data analysis skills, Advanced Excel , including VBA

Our client’s team of analysts, consultants and Defence SMEs work closely with their customers to deliver high-impact services and solutions. Data science and operaional analysis are a key part of their company’s capability. They are growing this capability and are looking for a highly motivated and capable Senior Analyst.

As Senior/Principal Analysyour role will include:

• Using operational analysis approaches to deliver impactful insights to their clients.
• Taking a consultative approach to your work, understanding how your work contributes to delivering a great result for clients.
• Using agile approaches to develop models and tools, including requirements capture, design, development, testing and management.
• Collating, managing, structuring, analysing, presenting, and visualising data.
• Deriving unique insights from data to inform senior-level decision making.
• Producing internal and external presentations and reports to summarise processes, findings, recommendations, and decision analysis results.
• Delivering high quality analysis and outputs.
• Taking a leading role in the day-to-day delivery of projects, working closely with clients and the company’s team of consultants and analysts.

The role as a Senior Analyst will require a blend of working from our office, occasional travel to client sites, and working from home.

The company’s main clients will be based around key UK Defence establishments in the south of England.

Experience /Qualifications - Senior/Principal Analyst:

The following skills and experience will enable you to excel in this role:

• Operational analysis approaches and techniques
• Advanced Excel skills , including VBA
• Data analysis and data science
• Experience working within UK MoD
• Stakeholder engagement, requirements gathering and process design.
• A self-starter and team player.
• Good communication skills, enabling you to work confidently with team members and clients.
• Strong organisational and time management skills, with the ability to multi-task and prioritise your work.
• Attention to detail and the drive to see work through to completion.
• A positive and flexible approach to your work.
• Degree, MSc or equivalent experience

Knowledge and experience of the following is desirable:*

• Decision making techniques and processes.
• Operating models and organisational design.
• Software development using Python.
• Knowledge of current software development approaches, platforms and best practice.
• Experience of Microsoft365, SharePoint, PowerBI, Dataverse and PowerApps solutions.
• Recent UK Defence Security Clearance (SC) would be of interest but is not essential.

Senior Analyst - Defence, MOD

Are you ready to launch a career in Data Analytics and Business Intelligence? Netcom Training s fully-funded Data course (NCFE Certificate in Data, Level 3) equips you with the technical skills employers are actively seeking.

From data sourcing, cleansing, and analysis to visualisation and reporting, you ll gain hands-on experience that prepares you for today s fast-growing data-driven roles.

Our learners have successfully moved into roles such as Junior Data Analyst, Operations Analyst, Business Intelligence Assistant, Database Administrator, and Pricing Analyst, working across tech, finance, healthcare, and the public sector. Complete the course and gain a guaranteed interview with a leading employer, helping you kickstart your career.

Course Details

• Start Date: 16/03
• Duration: 10 weeks
• Days: Mon-Thu
• Times: 6-9pm
• Format: Online, practical workshops

What you ll learn

• Data Management: Understand how to source, gather, and store data securely.
• Data Cleansing: Learn to collate and format raw data for accurate processing.
• Analysis & Insight: Analyse datasets to support key business decisions and outcomes.
• Visualisation: Present and communicate insights clearly to stakeholders.
• Tools & Tech: Gain exposure to professional tools commonly used in the industry (e.g., Excel concepts, Reporting tools).
• Compliance: Understand secure data handling and GDPR principles.
• Collaboration: Practice continuous professional development in a team setting.

Career Pathway

Successful participants are guaranteed an interview with our network of UK-wide partners working with leading brands.

• Potential Roles: Junior Data Analyst, Reporting Assistant, Data Administrator, Business Analyst.

Starting Salaries: Typically £22,000 £28,000 (role dependent)

Eligibility

This is a government-funded opportunity. To apply, you must:

• Live in Greater Manchester (GMCA region).
• Be aged 19 or over.
• Have lived in the UK/EU for a minimum of 3 years.
• Earn below the gross annual wage cap.
• Prerequisites: Basic IT skills are required.

I am currently recruiting for the position of Reporting Analyst to join my client located in Eurocentral, on an ongoing temporary contract. The role will be hybrid working, covering between the hours of (8am - 8pm). This opportunity presents an exciting prospect for the successful candidate to join an established and successful organisation within a global logistics and delivery firm, that is a leader in their industry. The successful candidate will also enjoy an hourly rate of 15.38 per hour and be office based for training in Eurocentral, then hybrid working thereafter.

Duties and Responsibilities for this opportunity will include:

• Provide data analysis to enable the influencing of Regional Management teams across the delivery organisation to drive an improvement in customer experience across all performance measures
• Inputting into the design and roll out of performance strategies by effectively using data to ensure the successful implementation across the delivery organisation
• Using data to input into reports on the delivery success of couriers that identify and flag risks in real time to Regional Delivery Managers so we can drive solutions using real time information
• Using client data and analysis to support the recommend solutions for said clients to drive improvements across the delivery organisation
• Make recommendations on priority order and the appropriate set of actions to drive compliance improvement
• Analysing data and producing reports that supports senior managers in their understanding of compliance and service data in operational areas

To be considered you must have:

• Excellent IT Skills in all Microsoft Packages, comfortable in handling data in all its formats with advanced Excel skills including formulas, pivot tables, calculated fields, Power Query, Macros and VBA
• Exceptional communication skills with the ability to build strong and trusting relationships across all organisational levels
• Experience within an analytical role with management of high volume of information
• Strong analytical skills that make you comfortable handling large amounts of data as well as being able to translate findings into solutions to drive business improvements

You must be available to start for work immediately and drive due to the location.

If you have suitable experience and are interested in this position, then please apply now or contact me on (url removed) for further information on this exciting opportunity.

Search is an equal opportunities recruiter and we welcome applications from all suitably skilled or qualified applicants, regardless of their race, sex, disability, religion/beliefs, sexual orientation or age

We’re on the hunt for a Senior HR Data Analyst to join a progressive HR Data team of a fast-paced energy client. In this role, you’ll dive into a broad spectrum of HR data - from reward analytics and internal performance KPIs to statutory reporting, operational insights, and project-based HR data initiatives. You’ll turn complex data into compelling stories, leveraging Power BI dashboards and visualisations to deliver clear, impactful insights that drive real business decisions.

Initially it will be a six-month contract - with strong potential to extend. This full-time, 40-hours-per-week role offers a hybrid working setup, based out of the Nottingham office.

Accountabilities:

• Turning HR data into clear, actionable insights.
• Ensuring compliance and data privacy at every step.
• Bringing KPIs to life with dynamic dashboards and visualizations.
• Automating workflows and building low-code solutions for efficiency.
• Leading cross-functional teams as the go-to data expert.
• Coaching analysts to deliver top-quality results.

Knowledge and Skills:

• Excel expert with VBA & automation skills.
• Power BI pro, crafting dynamic dashboards and robust data models.
• Analytical problem-solver, curious about new tech and innovative workflows.
• Data-savvy communicator, ensuring accuracy, clarity, and compliance.
• Enterprise reporting specialist, turning complex data into actionable insights.
• Cross-functional leader, driving large-scale data projects and aligning stakeholders.

Experienced in low-code Microsoft tools (PowerApps, SharePoint, Teams, Fabric).

Rullion celebrates and supports diversity and is committed to ensuring equal opportunities for both employees and applicants.

Are you ready to turn data into action and make a real impact? Thames Water is looking for a skilled and driven Portfolio Revenue & Debt Data Scientist to join our dynamic Credit Risk team. This is a unique opportunity to work at the forefront of credit risk analytics, helping to shape smarter collections strategies, reduce bad debt, and improve customer outcomes. As part of a priority investment area, you’ll play a key role in transforming how we use data—working closely with senior stakeholders, digital teams, and data owners to deliver best-in-class portfolio management. What you will be doing as the Portfolio Revenue & Debt Data Scientist In this pivotal role, you’ll lead deep-dive analysis into customer portfolio trends, build predictive models, and support the transition to our enterprise data lake. Your insights will directly influence operational improvements, policy decisions, and long-term financial resilience. You will also: Develop and maintain SQL-based reporting solutions to drive actionable insights. Collaborate with the Credit Reporting & Insight team to ensure analytics meet business needs. Partner with the Digital Team to align data governance and infrastructure. Work with the Income Leadership Team to shape strategy and support decision-making. Champion a culture of data-driven thinking across the Income function.Key Responsibilities Conduct root cause analysis of debt accumulation trends. Build and refine predictive models for credit risk and debt recovery. Provide insights to support the Bad Debt Transformation programme. Support the migration to a data lake environment, ensuring data integrity and accessibility. Create scalable, efficient SQL code and reporting frameworks. Embed analytics into strategic decision-making across the business.What you should bring to the role: To thrive in this role, you must be able to confidently answer YES to the following: Are you proficient in writing SQL queries to extract, join, and transform large datasets for MI/reporting and predictive modelling? Have you got experience in data cleansing, validation, and building predictive models? Are you proficient in Python for statistical analysis and able to relay insights to non-technical stakeholders?In addition, you will bring: Proven experience in credit risk analytics, debt management, or financial modelling. Experience working in cross-functional teams and translating data into strategy. Familiarity with cloud platforms like Azure Data Lake, AWS, or Google Cloud. A degree (or equivalent experience) in Data Science, Mathematics, Statistics, or similar. A passion for continuous improvement and data-led transformation. Desirable Experience Experience migrating from traditional databases to data lake architecture. Background in Utilities or Financial Services. Exposure to SAP or DM9 environments. Knowledge of machine learning techniques relevant to credit risk.Location: Hybrid - Walnut Court - SN2 8BN. Hours: 36 hours per week, Monday to Friday. Application Requirement All applicants must include a covering letter describing a time when you added specific value to a project through your insight, including: The metrics impacted. The results were delivered.What’s in it for you? Competitive starting salary of £53,910 and up to £65,000 per annum, depending on skills and experience Annual leave: 26 days holiday per year, increasing to 30 with the length of service. (plus bank holidays). Performance-related pay plan directly linked to both company and individual performance measures and targets. Generous Pension Scheme through AON. Access to lots of benefits to help you take care of you and your family’s health and wellbeing, and your finances – from annual health MOTs and access to physiotherapy and counselling, to Cycle to Work schemes, shopping vouchers and life assurance.Find out more about our benefits and perks (Please note different T&Cs apply if on secondment) Who are we? We’re the UK’s largest water and wastewater company, with more than 16 million customers relying on us every day to supply water for their taps and toilets. We want to build a better future for all, helping our customers, communities, people, and the planet to thrive. It’s a big job, and we’ve got a long way to go, so we need help from passionate and skilled people, committed to making a difference and getting us to where we want to be in the years and decades to come. Learn more about our purpose and values Working at Thames Water Thames Water is a unique, rewarding, and diverse place to work, where every day you can make a difference, yet no day is the same. As part of our family, you’ll enjoy meaningful career opportunities, flexible working arrangements and excellent benefits. If you’re looking for a sustainable and successful career where you can make a daily difference to millions of people’s lives while helping to protect the world of water for future generations, we’ll be here to support you every step of the way. Together, we can build a better future for our customers, our region, and our planet. Real purpose, real support, real opportunities. Come and join the Thames Water family. Why choose us? Learn more. We’re committed to being a great, diverse, and inclusive place to work. We welcome applications from everyone and want to ensure you feel supported throughout the recruitment process. If you need any adjustments, whether that’s extra time, accessible formats, or anything else, just let us know, we’re here to help and support. When a crisis happens, we all rally around to support our customers. As part of Team Thames, you’ll have the opportunity to sign up to support our customers on the frontline as an ambassador. Full training will be given for what is undoubtedly an incredibly rewarding experience. It’s also a great opportunity to learn more about our business and meet colleagues. Disclaimer: Due to the high volume of applications we receive, we may close the advert earlier than the advertised date, so we encourage you to apply as soon as possible to avoid disappointment

Location: Remote with Adhoc travel to site (London or Birmingham) Contract Length: 6 Months Working Pattern: Full Time, via an Umbrella Company Are you ready to embark on an exciting journey to shape the future of AI? Our client is on the lookout for a talented AI Engineer to engineer enterprise-grade Generative AI agents. If you have a passion for innovation and a knack for problem-solving, this opportunity is for you! What We're Looking For: Previous experience supporting the creation of Agentic AI Agents Expertise in Generative AI and LLM selection. Strong background in decision support and conversational AI. Familiarity with engineering prompts and agent patterns. Knowledge of cloud standards and privacy governance. Experience in monitoring, quality evaluation, and bias mitigation. A commitment to explainability and auditability. Passion for integrating human-in-the-loop controls.What You'll Be Doing: As an AI Engineer, you will play a pivotal role in creating intelligent automation and conversational experiences by leveraging the power of large language models (LLMs) and orchestration frameworks. Your responsibilities will include: Designing Architecture: Define and own the architecture for enterprise-grade Generative AI and agent systems, ensuring alignment with cloud and organizational standards. Translating Business Needs: Convert business requirements into agent solutions, selecting the right agent patterns with clear success metrics and risk controls. Building GenAI Agents: Develop agents that seamlessly integrate LLMs with retrieval, tools, APIs, and structured reasoning for reliable and safe performance. Implementing RAG Solutions: Optimize Retrieval-Augmented Generation solutions, ensuring secure and permission-aware access to enterprise knowledge sources. Engineering Safety Measures: Create prompts and policies that enforce Responsible AI principles, focusing on bias mitigation, explainability, and human-in-the-loop controls. Ensuring Performance: Maintain the performance and resilience of GenAI systems through optimization and robust fallback strategies. Embedding Governance: Design with security, privacy, and governance in mind to support compliance and enterprise risk management. Integrating Agents: Collaborate with platform teams to build reusable components and deliver scalable, production-ready AI capabilities. Troubleshooting and Innovation: Act as a senior subject matter expert to resolve issues, lead investigations, and drive experimentation with emerging models and tools. Influencing Stakeholders: Engage with key stakeholders to articulate trade-offs and strategic decisions effectively.Why Join Us? This is a fantastic opportunity to work in a dynamic environment where your skills will be valued, and your contributions will make a real impact. You'll be part of a forward-thinking team that is committed to pushing the boundaries of AI technology! Ready to Make a Difference? If you're excited about this opportunity and believe you have the skills to excel, we want to hear from you! Apply today and take the next step in your career with us. Let's innovate together! We can't wait to meet you! We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention. Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £30,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 – Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 – AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 – AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 – Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 – AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. What You Get · 100% online, self-paced training · Microsoft AI-900 certification included · 1-to-1 tutor and recruitment support · Real-world project experience · Job guarantee – get a job or your money back · Starting salary of £30,000–£45,000 We Get You Hired! We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps