Role Overview:

We are looking for a highly analytical, hands-on Full Stack Data Scientist / Engineer to design, build and deploy data-driven solutions that solve real operational and commercial problems. This role is ideal for someone who enjoys combining data science, software development and data engineering to create robust, scalable solutions that deliver measurable business value.

You will work across the full lifecycle of analytics and AI delivery: from understanding business problems, designing data pipelines and developing models, through to deployment, optimisation and ongoing improvement. You will play a key role in shaping solutions across forecasting, site selection, ordering, production, rota scheduling, logistics and online services optimisation, while also helping to extend our Bread GPT large language model insight synthesis capability.This is a hands-on role for someone who can code well in Python, solve data engineering challenges, and work closely with colleagues and partners to turn ideas into production-ready solutions.

Business Overview

We are a fast growing and fast paced, highly successful artisan food manufacturing and hospitality group delivering high-quality baked goods to our customers. We aim to feed better people better by focusing on people, technology, innovation and sustainability. We are looking for a talented Full Stack Data Scientist / Data Engineer to join our team and drive the development and management of our enterprise-grade applications across our bakeries.

Responsibilities:

• Develop advanced analytics / data science solutions to solve problems focused on forecasting, new site selection, ordering, production, rota scheduling, logistics and online services optimisation.
• Extend functionality of our Bread GPT service (Large Language Model insight synthesis engine).
• Data engineering: build and develop ETL processes in Microsoft Fabric to support reporting, insight and applied AI models
• hands-on role working with other staff and partners.
• Utilize data science and analytics to enhance application functionality and performance. Work with the data team to create and deploy machine learning models and AI-driven solutions for real-world applications.
• Ensure the continuous development and delivery of solutions.
• Monitor and evolve solutions.
• Mentor and guide junior team members, fostering a culture of continuous learning and improvement.
• Develop effective working relationships with colleagues within and beyond the Technology team to ensure that a consistent, high-quality service is delivered.

ARE YOU THE MISSING INGREDIENT

• Ideally a bachelor’s degree in Computer Science, Analytics, Engineering, or a related field.
• Minimum of 3+ years of experience within excellent knowledge of Python and preferably R.
• Knowledge of ETL processes - ideally basic understanding of Microsoft ETL (Data Factory / Synapse / Fabric)
• Knowledge of databases (SQL & NoSQL) and API development/integration.
• Understanding of software development and application design.
• Proven experience in building data science solutions and developing customised LLM applications.
• Strong interest in technology.
• Excellent problem-solving skills and attention to detail.
• Knowledge of effective business analysis - ability to gather, document, and analyse business requirements effectively and the experience creating user stories, process flows, and wireframes.
• Ability to work effectively in a fast-paced, dynamic environment.
• Strong communication and collaboration skills.
• “Can do” outlook and approach to work.
• Demonstrate the ability to think around issues and look at the bigger picture to provide solutions through a variety of problem-solving techniques.
• Ability to prioritise issues according to business needs, and to escalate when necessary/appropriate, and problem solve

Preferred Qualifications:

• Experience in manufacturing, retail or hospitality industries.
• Knowledge of programming languages and frameworks.

BENEFITS BAKED IN

• Free food and drink when working
• 50% off food and drink when not working
• 33 days holiday
• Pension Scheme
• Discounts and Savings from high-street retailers and restaurants
• 24 hour GP service
• Cycle to work scheme
• Enhanced Maternity package
• Development programmes for you to RISE with GAIL’s

A high-growth institutional trading business in the digital assets market is expanding its London team and hiring a Quant Developer to join its OTC pricing function. This is a great opportunity to join a successful firm adding headcount as it continues to grow, and to work on highly visible quantitative systems that sit at the core of pricing, hedging and liquidity decisions. The role offers a rare blend of quantitative research partnership and hands-on production engineering, making it ideal for someone who enjoys solving real market problems in a fast-paced trading environment.
THE ROLE: Quant Developer – OTC Pricing
This is a senior-level quant development role within the OTC pricing team, focused on turning quantitative ideas into robust, production-grade trading and pricing solutions. The successful candidate will work very closely with quantitative researchers, contributing not only to implementation but also to the design and refinement of pricing and liquidity models.
The role combines research-oriented modelling in Python with production engineering in Java. You will use Python to analyse data, test ideas and support model development, while using Java to build and enhance high-performance pricing infrastructure used in a live, global trading environment.
You will be involved in the development of pricing logic, flow analysis, spread optimisation and automated hedging tools. The role also includes working on distributed systems challenges in a 24/7 multi-region environment, where reliability, consistency and performance are critical. This is a high-impact position for someone who enjoys applying quantitative thinking to real trading and pricing problems at scale.
KEY RESPONSIBILITIES: Quant Developer – OTC Pricing
*
Build and enhance quantitative pricing, hedging and optimisation models within a high-performance Java framework
*
Work alongside quantitative researchers to analyse large datasets and translate research into production-ready solutions
*
Use Python for model prototyping, data analysis, signal investigation and backtesting activity
*
Develop and improve pricing skew, spread and liquidity optimisation logic
*
Design and implement automated hedging strategies, taking into account execution risk, liquidity and market impact
*
Support pricing system deployment across distributed, multi-region architecture with a focus on uptime and consistency
*
Analyse client trading behaviour, including flow quality, decay and pricing performance, to support more effective pricing decisions
*
Contribute to the ongoing evolution of tools and systems used in a live institutional trading environment
REQUIRED - SKILLS/EXPERIENCE: Quant Developer – OTC Pricing
*
Strong Java development experience, ideally 5+ years
*
Deep understanding of object-oriented design, concurrency, and high-performance distributed systems
*
Proficient in Python; Including use of libraries such as NumPy, SciPy and Pandas for quantitative analysis and prototyping
*
Proven experience applying numerical optimisation techniques and/or machine learning methods to pricing, trading or market-related problems
*
Prior experience in client pricing, electronic trading, or a closely related quantitative trading environment
*
Exposure to liquid markets such as FX, equities, ETFs or crypto
*
Strong academic background in a quantitative discipline such as Mathematics, Physics or Quantitative Finance
*
Ability to operate effectively in a role that bridges quantitative modelling and production engineering
DESIRABLE - SKILLS/EXPERIENCE: Quant Developer – OTC Pricing
*
Familiarity with low-latency system optimisation, such as GC tuning or tools/frameworks used in high-performance messaging environments
*
Understanding of derivatives pricing and risk management, particularly across products such as futures, forwards, NDFs and CFDs
*
KDB+/Q
*
Exposure to AWS, Docker and Kubernetes

£25,000 - £35,000 per annum, depending on experience

Level/Experience: SRE Level - 1-3 years experience

Location: Farringdon, London (hybrid, with up to 2 days a week WFH).

Who are we

Tapestry is a multi-award-winning research agency in mid-transformation. Were rebuilding our processes from the inside out, including using Displayr to streamline our data pipeline.

The Role

Weve moved to Displayr, and need someone who can use it with confidence, curiosity and creativity. You will be the connection between teams: part Displayr specialist, part problem-solver, part data scientist. This is a role at the coal-face of our work. Youll manage an ever-shifting workload, keeping projects on track amid changing priorities and pipelines.

Key Responsibilities

• Consistently delivering clean, accurate tables & reports
• Help us to maximise the benefits of Displayr
• Own and improve quality assurance
• Find why on earth are we doing it this way? moments and help fix them.
• Create and champion best practice.
• Look across projects to spot efficiencies and patterns.
• Work with our development team to automate as much as possible.

The Candidate

Youve already made a start to your career (probably 18 months+) and we want you to demonstrate

• Relevant Skills:Required: Fluent with Displayr and/or Q

• An appreciation of data packages/languages such as SPSS R, Python or Javascript

• Knowledge:Clear understanding of data structure, Displayr workflow and QA, and proven ability to apply that knowledge.

• Curiosity: You want to know more, learn more, try more.

• Problem Solving:You see patterns, spot gaps, fix stuff, then work to spread that knowledge.

• Consistency:Strong attention to detail, reliability and quality. Youre moving beyond following process to helping us shape it.

• Organisation:You plan well and when needed can juggle shifting demands without dropping anything.

• Communication:Clear, calm, good at translating jargon.

• Teamwork:Willingness to engage, challenge and collaborate. You listen, question and work well with others.

Tapestry is an equal opportunity employer. All applicants will be treated in a fair and equal manner and in accordance with the law regardless of gender, marital status, race, religion, colour, age, disability or sexual orientation.

A high-growth institutional trading business in the digital assets market is expanding its London team and hiring a Quant Developer to join its OTC pricing function. This is a great opportunity to join a successful firm adding headcount as it continues to grow, and to work on highly visible quantitative systems that sit at the core of pricing, hedging and liquidity decisions. The role offers a rare blend of quantitative research partnership and hands-on production engineering, making it ideal for someone who enjoys solving real market problems in a fast-paced trading environment.

THE ROLE: Quant Developer OTC Pricing

This is a senior-level quant development role within the OTC pricing team, focused on turning quantitative ideas into robust, production-grade trading and pricing solutions. The successful candidate will work very closely with quantitative researchers, contributing not only to implementation but also to the design and refinement of pricing and liquidity models.

The role combines research-oriented modelling in Python with production engineering in Java. You will use Python to analyse data, test ideas and support model development, while using Java to build and enhance high-performance pricing infrastructure used in a live, global trading environment.

You will be involved in the development of pricing logic, flow analysis, spread optimisation and automated hedging tools. The role also includes working on distributed systems challenges in a 24/7 multi-region environment, where reliability, consistency and performance are critical. This is a high-impact position for someone who enjoys applying quantitative thinking to real trading and pricing problems at scale.

KEY RESPONSIBILITIES: Quant Developer OTC Pricing

• Build and enhance quantitative pricing, hedging and optimisation models within a high-performance Java framework
• Work alongside quantitative researchers to analyse large datasets and translate research into production-ready solutions
• Use Python for model prototyping, data analysis, signal investigation and backtesting activity
• Develop and improve pricing skew, spread and liquidity optimisation logic
• Design and implement automated hedging strategies, taking into account execution risk, liquidity and market impact
• Support pricing system deployment across distributed, multi-region architecture with a focus on uptime and consistency
• Analyse client trading behaviour, including flow quality, decay and pricing performance, to support more effective pricing decisions
• Contribute to the ongoing evolution of tools and systems used in a live institutional trading environment

REQUIRED - SKILLS/EXPERIENCE: Quant Developer OTC Pricing

• Strong Java development experience, ideally 5+ years
• Deep understanding of object-oriented design, concurrency, and high-performance distributed systems
• Proficient in Python; Including use of libraries such as NumPy, SciPy and Pandas for quantitative analysis and prototyping
• Proven experience applying numerical optimisation techniques and/or machine learning methods to pricing, trading or market-related problems
• Prior experience in client pricing, electronic trading, or a closely related quantitative trading environment
• Exposure to liquid markets such as FX, equities, ETFs or crypto
• Strong academic background in a quantitative discipline such as Mathematics, Physics or Quantitative Finance
• Ability to operate effectively in a role that bridges quantitative modelling and production engineering

DESIRABLE - SKILLS/EXPERIENCE: Quant Developer OTC Pricing

• Familiarity with low-latency system optimisation, such as GC tuning or tools/frameworks used in high-performance messaging environments
• Understanding of derivatives pricing and risk management, particularly across products such as futures, forwards, NDFs and CFDs
• KDB+/Q
• Exposure to AWS, Docker and Kubernetes

We believe in better. And we make it happen.

Better content. Better products. And better careers.

Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate.

We turn big ideas into the products, content and services millions of people love.

And we do it all right here at Sky.

What you’ll do

• Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS)

• Analyses large amounts of information to discover trends and patterns in complex datasets.

• Designs experiments and build models that can help improve customer experience or optimise operational efficiency.

• Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions.

• Creates visualisations of results using various SaaS platforms or other Python software packages.

• Monitors performance of models over time by tracking key metrics.

• Present findings in a clear manner using reports or presentations.

What you’ll bring

• Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights.

• Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling.

• Prior exposure to time series forecasting

• Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability.

• Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows.

• Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights.

• Comfortable working in Agile environments, participating in sprint planning, retrospectives etc.

• Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders.

Team overview

Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We’re bold, proactive, forward-thinking and collaborative. Together, we’re proud of the products and services we deliver for our customers.

The rewards

There’s a reason people can’t stop talking about . Our great range of rewards really are something special, here are just a few:

• Sky Q, for the TV you love all in one place
• A generous pension package
• Private healthcare
• Discounted mobile and broadband

Inclusion & how you’ll work

We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can.

We’ve embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You’ll find out more about what hybrid working looks like for your role later on in the recruitment process.

Your office space:

Brick Lane:

Our Brick Lane office is in the heart of the East End of London. It’s part of a vibrant and diverse community; close to street food, cafes and shops.

The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk.

We’d love to hear from you

Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It’s a place where you can explore what if, how far, and what next.

But better doesn’t stop at what we do, it’s how we do it, too. We embrace each other’s differences. We support our community and contribute to a sustainable future for our business and the planet.

If you believe in better, we’ll back you all the way.

Just so you know: if your application is successful, we’ll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

Role: ADOBE ANALYTICS

Location: London

Contract (6months +)

Inside IR35

Job description

• Implementation & Architecture: Design and maintain Adobe Analytics tracking solutions using Adobe Launch (Tags) or AEP Web SDK. Develop and manage Data Layers (JSON/XDM) to ensure consistent data collection.
• Technical Configuration: Configure eVars, props, success events, and processing rules within the Adobe Analytics admin console.
• Validation & QA: Perform rigorous testing using tools like Adobe Experience Platform Debugger, Charles Proxy, and Observe Point to ensure data accuracy across DEV, QA, and PROD environments.
• Reporting & Analysis: Build advanced dashboards and visualizations in Analysis Workspace. Perform deep-dive analysis on user behavior, conversion funnels, and marketing attribution.
• Integration: Connect Adobe Analytics with other Adobe Experience Cloud tools, specifically Adobe Target (A4T) for A/B testing and Adobe Audience Manager.
• Compliance: Ensure all implementations adhere to global privacy regulations such as GDPR and CCPA.

Your Profile

Essential skills/knowledge/experience:

• 4-6 years of hands-on experience in web analytics implementation and reporting.
• Strong proficiency in JavaScript, HTML, and CSS for custom tagging. Basic SQL for data extraction and Python for advanced analysis are preferred.
• Experience with Power BI, Tableau, or Google Data Studio for external reporting.
• Hands-on experience with AWS, Azure, or GCP environments for Reporting tool hosting.

Desirable skills/knowledge/experience: (As applicable)

• Exceptional analytical, troubleshooting, and communication skills
• Understanding data visualization and reporting.
• Knowledge of Scripting and SQL.
• Familiarity with monitoring tools.
• Exposure to Agile delivery environments.

Ready to start your career as a Data Analyst?

The demand for skilled data professionals in the UK is booming - and organisations are searching for people who can turn raw data into meaningful insight. If you’re looking for a career with purpose and strong growth, our Data Analyst Career Programme is built for you, with a job guarantee on completion.

Why this programme matters

We focus on equipping you with both the tools and the real-world experience you need to hit the ground running. With industry-recognised certifications, live instruction and project work you’ll be ready for business challenges from day one.

What you’ll get:

• Seven training modules, covering Excel, SQL, Python, Tableau, Power BI and more.
• Three official certifications: Microsoft Azure Data Fundamentals, Microsoft Power BI Data Analyst Associate and Microsoft Azure AI Fundamentals.
• Real-world project work to enhance your CV and show our end employers you can deliver.
• Job guarantee: If you complete the programme and don’t receive a job offer, we’ll refund 100% of your course fee.

Your investment:

• Course cost: £2,795
• Payment plan: From £232.91 per month (interest-free)

No prior tech-job experience? No problem.

You don’t need to come from a data background. If you bring curiosity, communication skills, and a willingness to learn, this programme will equip you for a transition into a demanding and rewarding role.

Take the next step now.

Click ‘Apply Now’ and embark on a career where data drives decisions, and you drive your future.

Job Title: Product Data Scientist - Hybrid - Up to £80,000

Location: London (Hybrid, 2 days p/w in office)

Salary: Up to £80,000 + benefits

Contract: Permanent

The Company

A well-established and fast-growing organisation going through an exciting period of digital transformation. With a strong customer focus, they use data and technology to deliver meaningful products and services to a wide audience. The business is scaling its data capabilities and is investing heavily in analytics to drive smarter decisions and long-term growth.

The Role

As a Product Data Scientist, you’ll work closely with teams across the business to unlock insight, guide product strategy, and influence decision-making. You’ll use advanced analytics, experimentation, and data storytelling to identify opportunities, improve customer experiences, and drive measurable impact.

Key Responsibilities:

• Analyse user behaviour to uncover insights, identify pain points, and influence product direction.
• Design experiments and support a culture of testing, learning, and iteration.
• Define and align key business metrics, ensuring consistency and accuracy across teams.
• Build and maintain dashboards and tools to empower stakeholders with self-serve insights.
• Conduct deep-dive analyses to support strategic initiatives and provide clear recommendations.
• Collaborate across functions to close data gaps and drive analytics best practice.
• Stay current on industry trends and champion innovative approaches to product data science.

The Candidate

• Proven experience in analytical roles, ideally within a digital-first or tech-led business.
• Skilled in SQL, Python or R, plus familiarity with BI tools (e.g. Looker, Tableau, Lightdash).
• Ability to translate business challenges into clear analytical projects and recommendations.
• Strong data storytelling and presentation skills, with confidence engaging senior stakeholders.
• Curious, proactive, and detail-oriented problem solver.
• Team player with strong collaboration skills.

What’s on Offer

• Salary up to £80,000 + bonus
• Hybrid working (2 days per week in London office)
• Competitive annual leave package
• Pension scheme and healthcare support
• Employee discounts and perks
• Regular team socials and recognition initiatives
• Strong learning and development opportunities

Apply NowIf you’re an experienced Product Data Scientist/Analyst looking to shape the future of data insight in a growing, forward-thinking organisation, apply today.

Adword Job title: Data engineering specialist Locations: London One Braham or Birmingham Snowhill or Bristol Assembly (hybrid-3 days onsite) Start Date: Ideally 1st April so must be available immediately Duration: 06 months IR35: Inside Job description: Looking for immediate joiners, Ideally by 1st April Role Overview We are seeking an experienced Analytics Engineer to design and build scalable analytical data models that support business intelligence, reporting and commercial analytics. The role sits within a multidisciplinary data team responsible for delivering trusted analytical data products used across commercial and marketing teams. The ideal candidate will combine strong analytical thinking with advanced SQL engineering capability, and will have experience designing analytics-ready datasets used by BI tools or semantic layers. This is not a pipeline engineering role; we are looking for someone experienced in building analytical data models that define consistent business metrics and enable self-service analytics. Key Responsibilities Analytical Data Modelling Design and implement scalable analytical data models in SQL used by BI tools and analytics platforms. Build datasets that support consistent business metrics, reporting and analysis. Implement modelling approaches such as star schemas, denormalised analytical tables and reusable metric layers.Data Analysis & Profiling Profile complex datasets to understand data structure, quality and business meaning. Investigate and interpret source data to inform robust analytical modelling decisions. Translate business questions into well-structured analytical datasets.SQL Engineering Develop robust SQL transformations to convert raw source data into trusted analytical assets. Ensure analytical models are scalable, performant and maintainable within a cloud data warehouse. Optimise SQL logic for performance and efficient data processing.Collaboration Work closely with analysts, visualisation developers, data engineers and business stakeholders. Contribute to the development of reusable data assets and consistent analytical definitions. Support the evolution of the organisation's analytics data layer and self-service reporting capability.Essential Skills Advanced SQL skills with experience engineering complex analytical transformations. Proven experience building analytical data models used by BI tools or reporting platforms. Experience designing analytics-ready datasets rather than ingestion pipelines. Strong experience with cloud data warehouse platforms (preferably Google BigQuery / GCP). Strong data analysis and data profiling capability with the ability to interpret complex datasets. Experience implementing analytical modelling approaches such as star schemas or wide tables.Desirable Skills Experience working with semantic layers or metrics layers (e.g. Looker / LookML). Experience designing consistent business metrics used across reporting and analytics. Python experience for data analysis, automation or advanced analytics workflows. Exposure to AI-enabled analytics tools or modern data workflows. Experience working in commercial or marketing analytics environments. Telecommunications or subscription business experience would be advantageous. If you're excited about application security, identity management, and creating robust, secure solutions for modern architectures, we want to hear from you! Please apply with a copy of your CV or send it to Prasanna . merugu @ randstaddigital . com and let's start the conversation! Randstad Technologies is acting as an Employment Business in relation to this vacancy

Location: Bristol, Swansea, Leeds, Nottingham, Newcastle, Oldham, Birmingham or Yeading. Salary: £44,241 per annum Vacancy Type: Permanent Closing date: Tuesday 31st March 2026 Do you thrive on curiosity, innovation and adaptability? Are you genuinely excited about delving into data, whether new or existing, and harnessing the power of advanced statistical tools and techniques such as machine learning, predictive analytics, and computational vision? Is transforming data into practical insights that drive operational and strategic decisions across DVSA something that fires your enthusiasm? Are you committed to using data ethically and responsibly? If this sounds like you, your next career move could be right here! As a Senior Data Scientist, you'll play a pivotal role in shaping analytical models that guide DVSA's future. For example, you will design, develop and maintain forecasting models in Python that predict service demand, as well as innovative risk models that help us allocate frontline resources more effectively. You'll also champion the ongoing professional growth of our talented data science team, sharing your expertise in the latest techniques and tools. Joining our department comes with many benefits, including: \* Employer pension contribution of 28.97% of your salary. \* 25 days annual leave, increasing by 1 day each year of service (up to a maximum of 30 days annual leave), plus 8 bank holidays a privilege day for the King's birthday \* Flexible working options where we encourage a great work-life balance. Job description Your responsibilities will include, but aren't limited to: \* Conceptualising and developing high-impact data science solutions. \* Writing and reviewing code using best practices from software development. \* Further developing and maintaining existing risk and demand models. \* Apply your ingenuity to analyse diverse data sets with cutting-edge statistical methods, from machine learning to predictive analytics, using Python. \* Identify trends and patterns, turning them into actionable insights that support the development and improvement of services. \* Presenting your findings to a wide range of stakeholders, from senior leaders to operational staff. \* Explore and visualise data to uncover valuable insights \* Offer recommendations that solve complex problems and empower strategic and operational decision making \* Uphold the highest standards of ethical and appropriate data use Your impact will be felt in the continual refinement of demand forecasting, predictive modelling to track performance against key targets, and the creation of risk models that ensure our resources are used where they matter most. We're looking to fill two exciting Senior Data Scientist roles: one role sits within our MOT team, focusing on service analytics, risk modelling and fraud detection; the other sits within our brand-new Innovation Team, where you'll help shape and validate groundbreaking Innovation use cases. Great line management is important to us as an organisation, and we will equip and support line managers to develop the skills they need. We aim to empower line managers to create teams where people can flourish and deliver excellent outcomes for the public. For further information on the role, please read the attached role profile. Please note that the role profile is for information purposes only - whilst all elements are relevant to the role, they may not all be assessed during the recruitment process. This job advert will detail exactly what will be assessed during the recruitment process. Person specification Required Experience: \* Developing and deploying AI and data science solutions to tackle business challenges at pace. \* Inferring, predicting or forecasting using appropriate machine learning techniques. \* Experience of designing and deploying LLM-powered analytics, for example for summarisation, topic modelling, or translation. \* Quantitatively evaluating data science and AI solutions using novel designs and data sets. \* Using cloud computing and infrastructure to develop and deploy solutions (e.g. AWS, Azure, GCP). \* Continually promoting professional development and sharing best practices. \* Presenting and communicating products and findings to a wide range of stakeholders, from senior leaders to operational staff. \* Considering ethics and data protection principles when developing AI and data science solutions (e.g. GDPR, use of ethics frameworks etc). \* Strong programming skills, with experience in Python (or similar experience with a desire to develop Python skills) \* Familiarity with essential data science tools and libraries (e.g. NumPy, Pandas, Scikit-Learn) and machine learning (e.g. PyTorch, Tensorflow, Huggingface, LangChain, LiteLLM). \* A high level of competence in applied maths, statistics and scientific methods. \* Clear written and verbal communication. \* Ability to work autonomously on data science projects and as part of the team. To Apply If you feel you are a suitable candidate and would like to work for DVSA, please proceed through the following link to be redirected to our website to complete your application. https://www.civilservicejobs.service.gov.uk/csr/index.cgi?SID=dXNlcnNlYXJjaGNvbnRleHQ9MTc3OTA1MzUyJnNlYXJjaHBhZ2U9MSZqb2JsaXN0X3ZpZXdfdmFjPTE5OTAwODkmcGFnZWFjdGlvbj12aWV3dmFjYnlqb2JsaXN0Jm93bmVyPTUwNzAwMDAmc2VhcmNoc29ydD1jbG9zaW5nJm93bmVydHlwZT1mYWlyJnBhZ2VjbGFzcz1Kb2JzJnJlcXNpZz0xNzczMjI5MzU4LWY3YjRhMTZlZGE5MTUwMjRlMGMzNWQzNWI5NmMzMGQ2ZTNkYWY2ZGU=

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?

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.

Your new company
A high-profile Central Government Client managing the UK’s Import/Export and Trade
Your new role
Data & AI Product Manager - SC Cleared
What you’ll need to succeed
We are looking for an experienced Data & AI Product Manager who is SC Cleared or SC Clearable, to support the client in their journey to ensuring Digital Product and Processes are fit for purpose for future Government AI and Data needs/deliverables.
The role requires SC Clearance, only candidates with ACTIVE SC or SC CLEARABLE backgrounds can be considered.

Core Requirements:

• Experienced IT Product Manager
• Understanding of the latest AI and Data Technologies and how they can support efficiencies across the estate
• Thought-Leadership across a team of Service Owners in influencing the work of AI and Data supporting the organisation’s needs

Your duties and responsibilities include:

• Developing product strategies and roadmaps that align with company goals
• Working closely with the development team to design, build, and rollout new products
• Overseeing all stages of product development, from initial concept to product release
• Conducting market research to identify customer needs and market trends
• Collaborating with various stakeholders, including marketing teams, to develop effective go-to-market strategies
• Defining and monitoring key performance indicators to evaluate the product’s success
• Resolving any issues that arise during the product development process
• Coordinating with the sales and customer service teams to ensure the product meets customer expectations
• Regularly reviewing and updating the product portfolio to ensure it remains competitive

What you’ll get in return
This is an excellent role for anyone with an affinity/drive in implementing what we know about AI and Data today and how it can make businesses and processes more efficient within the current available estate.
What you need to do now
If you’re interested in this role, click ‘apply now’ to forward an up-to-date copy of your CV, or call us now.
If this job isn’t quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.

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Location: Bristol, Swansea, Leeds, Nottingham, Newcastle, Oldham, Birmingham or Yeading.

Salary: £44,241 per annum

Vacancy Type: Permanent

Closing date: Tuesday 31st March 2026

Do you thrive on curiosity, innovation and adaptability?

Are you genuinely excited about delving into data, whether new or existing, and harnessing the power of advanced statistical tools and techniques such as machine learning, predictive analytics, and computational vision?

Is transforming data into practical insights that drive operational and strategic decisions across DVSA something that fires your enthusiasm?

Are you committed to using data ethically and responsibly?

If this sounds like you, your next career move could be right here!

As a Senior Data Scientist, you ll play a pivotal role in shaping analytical models that guide DVSA s future. For example, you will design, develop and maintain forecasting models in Python that predict service demand, as well as innovative risk models that help us allocate frontline resources more effectively. You ll also champion the ongoing professional growth of our talented data science team, sharing your expertise in the latest techniques and tools.

Joining our department comes with many benefits, including:

• Employer pension contribution of 28.97% of your salary.
• 25 days annual leave, increasing by 1 day each year of service (up to a maximum of 30 days annual leave), plus 8 bank holidays a privilege day for the King s birthday
• Flexible working options where we encourage a great work-life balance.

Job description

Your responsibilities will include, but aren t limited to:

• Conceptualising and developing high-impact data science solutions.
• Writing and reviewing code using best practices from software development.
• Further developing and maintaining existing risk and demand models.
• Apply your ingenuity to analyse diverse data sets with cutting-edge statistical methods, from machine learning to predictive analytics, using Python.
• Identify trends and patterns, turning them into actionable insights that support the development and improvement of services.
• Presenting your findings to a wide range of stakeholders, from senior leaders to operational staff.
• Explore and visualise data to uncover valuable insights
• Offer recommendations that solve complex problems and empower strategic and operational decision making
• Uphold the highest standards of ethical and appropriate data use

Your impact will be felt in the continual refinement of demand forecasting, predictive modelling to track performance against key targets, and the creation of risk models that ensure our resources are used where they matter most.

We re looking to fill two exciting Senior Data Scientist roles: one role sits within our MOT team, focusing on service analytics, risk modelling and fraud detection; the other sits within our brand-new Innovation Team, where you ll help shape and validate groundbreaking Innovation use cases.

Great line management is important to us as an organisation, and we will equip and support line managers to develop the skills they need. We aim to empower line managers to create teams where people can flourish and deliver excellent outcomes for the public.

For further information on the role, please read the attached role profile. Please note that the role profile is for information purposes only - whilst all elements are relevant to the role, they may not all be assessed during the recruitment process. This job advert will detail exactly what will be assessed during the recruitment process.

Person specification

Required Experience:

• Developing and deploying AI and data science solutions to tackle business challenges at pace.
• Inferring, predicting or forecasting using appropriate machine learning techniques.
• Experience of designing and deploying LLM-powered analytics, for example for summarisation, topic modelling, or translation.
• Quantitatively evaluating data science and AI solutions using novel designs and data sets.
• Using cloud computing and infrastructure to develop and deploy solutions (e.g. AWS, Azure, GCP).
• Continually promoting professional development and sharing best practices.
• Presenting and communicating products and findings to a wide range of stakeholders, from senior leaders to operational staff.
• Considering ethics and data protection principles when developing AI and data science solutions (e.g. GDPR, use of ethics frameworks etc).
• Strong programming skills, with experience in Python (or similar experience with a desire to develop Python skills)
• Familiarity with essential data science tools and libraries (e.g. NumPy, Pandas, Scikit-Learn) and machine learning (e.g. PyTorch, Tensorflow, Huggingface, LangChain, LiteLLM).
• A high level of competence in applied maths, statistics and scientific methods.
• Clear written and verbal communication.
• Ability to work autonomously on data science projects and as part of the team.

To Apply

If you feel you are a suitable candidate and would like to work for DVSA, please click apply to be redirected to our website to complete your application.

Senior Applied AI Engineer, Fianance

London - hybrid (2-3 days in office)

£130-160k, plus performance bonus

A leading growth equity firm investing in enterprise technology businesses across the UK and Europe is hiring a Senior Applied AI Engineer - an elite, hands-on developer who will play a foundational role in shaping how AI is used across the investment lifecycle.

As the sole AI Engineer, you will have responsibility for E2E delivery (yes, including all development + implementation), and the chance to build from a blank slate, shaping the firms AI capability, including sourcing, research, diligence, and workflows.

Importantly, you will have worked in high-context environments where engineers work directly with end users to deliver real-world AI systems - define the technical stack, set the roadmap, and own the end-to-end delivery of internal AI systems.

This is a highly autonomous architect-led role with significant responsibility and the freedom to experiment, iterate, and drive impact quickly. Youll move fluidly between rapid prototyping and production rigor, applying technical creativity to commercial decision-making.

More on the role: Build internal AI-powered tools, systems and agents to streamline sourcing, research, diligence, and portfolio monitoring

Design and deploy end-to-end LLM applications including research copilots, RAG systems, workflow automation, data enrichment, and deal intelligence tooling

Ingest, clean, and analyse external datasets through scripts, pipelines, and lightweight ML components

Integrate third-party APIs, datasets, scraping frameworks, and internal systems such as CRM and deal flow platforms

Rapidly prototype MVPs, validate value with the investment team, and harden the most impactful tools into reliable internal products

Build simple internal interfaces using FastAPI, Streamlit, or Next.js to enable intuitive adoption

Implement evaluation, observability, and governance to ensure accuracy, reliability, security, and responsible use of AI systems

Guide and coach the investment team on the latest tools, processes

Skills and Experience: 5+ years in applied AI engineering, ML engineering, or forward deployed roles

Strong Python

Experience building and deploying LLM applications (OpenAI, Anthropic, Gemini, etc.)

Deep familiarity with RAG methodologies, embeddings, and vector databases (Pinecone, Weaviate, pgvector)

Robust API integration experience, including working with third-party datasets, web APIs, or scrapers

A product mindset, enjoys crafting scrappy prototypes that evolve into polished tools

Strong communication skills and the ability to collaborate directly with non-technical business users

Exposure to finance, enterprise data tooling, or B2B SaaS analytics is a bonus

The Senior AI Engineer will thrive in real-world environs where delivery is all - settings where you work directly with end users, navigate ambiguous or evolving requirements, and need to understand the commercial context as deeply as the technical one.

It is envisaged that over time the role could evolve, albeit in a small way, to include an element of trusted advisor / thought partner (i.e. for portfolio company / prospective investee company CEOs etc).

TPBN1_UKTJ

We’ve partnered with one of the most successful Lloyd’s start-ups to find them a Reinsurance Pricing Actuary. Since launching, the business has grown rapidly while maintaining strong underwriting profitability and has quickly established itself as one of the most exciting platforms in the London Market.

The company is known for its collaborative culture, strong focus on employee wellbeing, and highly competitive bonus structure, making it an excellent environment for actuaries looking to combine technical work with commercial impact.

Key responsibilities:

• Pricing and assessing profitability across casualty reinsurance lines including liability, financial and specialty classes.
• Developing and enhancing pricing models using modern data, analytics and external datasets.
• Partnering closely with underwriters on portfolio strategy, new product exploration and profitable growth opportunities.

This is a fantastic opportunity to join a high-performing, entrepreneurial Lloyd’s platform where actuarial work sits at the heart of underwriting strategy.

For more information please apply.

We have partnered with a well-established specialty insurer to recruit a Capital Actuary into their actuarial function. This role sits within the capital modelling team and plays a key part in internal model development, regulatory reporting, and strategic capital decision-making, with exposure to senior stakeholders and cross-functional committees.Key responsibilities:

• Support the capital modelling function, including ongoing development and maintenance of the internal model.
• Play an integral role in the Lloyd’s Capital Return (LCR) process.
• Support embedded model uses such as reinsurance optimisation, capital allocation, and strategic initiatives (e.g. new classes and portfolio optimisation).
• Contribute to regulatory and risk reporting including SCR, PRA returns, LCM returns, and ORSA.
• Communicate model outputs clearly and enhance management information.
• Work closely with underwriting, risk, and actuarial teams to expand internal model use across the business.
• Outside peak capital periods, support reserving, pricing, and portfolio analytics activities.

This is an excellent opportunity for a nearly or newly qualified actuary to deepen their capital expertise within a dynamic specialty insurance environment, with broad exposure across capital, strategy, and wider actuarial work.Please apply for further information:

We have partnered with a well-established specialty insurer to recruit an Actuarial Capital Analyst into their actuarial function. This role sits within the capital modelling team and offers strong exposure to internal model development, regulatory reporting, and strategic capital initiatives.This is an excellent opportunity for an actuarial analyst with around 18 months experience who is progressing through the actuarial exams and looking to develop their capital modelling expertise within a collaborative and high-performing team while gaining exposure to case pricing, reserving and portfolio analytics. Key responsibilities:

• Support the capital modelling function, including development and maintenance of the internal model.
• Assist with the Lloyd’s Capital Return (LCR) process and related regulatory submissions.
• Contribute to capital reporting including SCR, PRA returns, LCM returns, and ORSA.
• Support model use across the business including reinsurance optimisation, capital allocation, and strategic initiatives.
• Assist in communicating model outputs and enhancing management information.
• Work closely with underwriting, risk, and actuarial teams to expand the use of the internal model.
• Outside of peak capital periods, support wider actuarial work including reserving, pricing, and portfolio analytics.

Please apply for further information.

We have partnered with a leading global reinsurance broker is looking for a Reinsurance Pricing Actuary to join its London Analytics team.This is a high-impact role sitting alongside senior brokers and producers, supporting complex reinsurance placements across international markets. The successful candidate will play a key role in pricing, portfolio analytics, treaty optimisation and the development of stochastic models, while also contributing to client-facing activity and strategic growth initiatives.The Role

• Develop risk pricing and analytical models using actuarial and statistical techniques
• Build and enhance stochastic models for reinsurance optimisation and strategy comparison
• Analyse client and market data, delivering clear insights and recommendations
• Support both existing treaty portfolios and new business opportunities
• Automate and streamline existing analytical processes
• Respond to technical queries and present findings to brokers, reinsurers and clients
• Represent the business in client meetings, reinsurer discussions and audits
• Mentor and support more junior team members

You’ll be joining a fast-growing and well-capitalised broker investing heavily in its analytics capability. The environment is collaborative, technically strong, and internationally focused, offering exposure to complex risks, sophisticated modelling challenges and senior stakeholder interaction.Please apply for more information:

Marketing Data Lead - Decision Intelligence

Marshall Wolfe are hiring on behalf of a large company within finance, for a Marketing Data Lead to build and embed a best-in-class, in-house marketing measurement framework.

This is a high-impact role where you’ll evaluate the effectiveness of current marketing spend, challenge existing channel strategies, and reshape investment decisions using advanced analytics and Marketing Mix Modelling (MMM).

This is a hybrid working role based in London.

The Role

• Lead the design and implementation of a comprehensive marketing measurement framework
• Deliver Marketing Mix Models (MMM) and advanced analytics to assess ROI, incrementality and channel effectiveness
• Provide strategic, data-driven counsel to senior Marketing and Commercial stakeholders
• Identify opportunities to rebalance and rescale media investment based on predictive modelling and performance insight
• Translate complex data into clear, commercially actionable recommendations
• Support the transition from external agency reliance to an in-house centre of excellence for marketing analytics

Requirements:

• Proven experience in marketing analytics, marketing science or data science
• Hands-on MMM development and marketing effectiveness expertise
• Strong statistical modelling and advanced analytics capability
• Exceptional stakeholder management and influencing skills
• Commercial mindset with the confidence to challenge marketing spend and strategy
• Experience working in multi-channel, data-rich marketing environments

Location: London (hybrid)

About the Company

We’re representing a London-based award-winning survey and data delivery agency that provide state of the art data capture, delivery and dashboard/visualisation solutions for the market research industry. They are looking to add a detail-oriented Data Processor to their busy Data Processing Team, known for the quality of their data, and who are responsible for ensuring data processing runs seamlessly and tabulations and data are delivered on time to their clients.

About the Role

The role is focused on producing accurate and quality data from surveys and requires a strong attention to detail and the ability to work with large-scale data sets. The DP team primarily use Unicom Quantum software, as well as Unicom Dimensions and SPSS. Full training of all software and programs will be provided.

Key responsibilities include:

• Support the Data Processing team to ensure the quality and timely delivery of data across online and telephone studies;
• Confidently use software, such as Quantum and SPSS, once training has been provided;
• Ensure data protection policies are followed in line with GDPR.

This is a hybrid role: there will be a requirement to travel to their London office, initially more frequently for training and thereafter, once or twice a week.

About You

The successful candidate for the Data Processor role must have:

• Proven experience in data processing within a market research agency environment;
• Proficiency in Excel including V look ups, data manipulation, formatting data etc;
• Proficiency in SPSS would be highly beneficial;
• Excellent attention to detail, consistently delivering work to the highest quality to required deadlines;
• Excellent time management skills (with the ability to work on multiple projects at once);
• Great interpersonal, written and verbal communication skills;

Full on-the-job and software training will be provided

Why you’ll love it there

This agency has a real buzz as they continue to grow. They reward people who help to drive that growth and support and encourage new ideas which will add value. They want you to be yourself and provide you with an encouraging and supportive environment to allow you to grow and develop too. They offer 25 days holiday (plus your birthday off if it falls during the contract period), 5% employer pension contributions, critical life insurance, private medical health insurance and other non-contractual benefits such as volunteering leave, financial advice sessions and an annual wellbeing allowance.

Salary for this role: 35-40k along with all the other benefits listed above.

We look forward to seeing your CV to be considered for this role!

Loyalty Experimentation & Optimisation Lead

The location of the role is Paddington, London (hybrid working).
The duration of the contract is 6 months.
The pay rate on offer is 500 - 600 per day (via Umbrella agency - inside IR35).

Role Summary

As Loyalty Experimentation & Optimisation Lead, you’ll sit at the intersection of analytics, product, data science, and commercial strategy. You’ll lead a structured test-and-learn approach across our loyalty initiatives (both the Food Group and Fashion, Home and Beauty business) and work closely with our Mission Based Reward team including Data Science, Product and Analytics teams to define and shape test plan and roadmap that unlocks smarter targeting, personalisation, and offer engine optimisation to drive key commercial and customer objectives.

You’ll also be responsible for sharing the success of the programme and tests by building a narrative using data storytelling and impactful reporting to influence stakeholders, drive advocacy and meaningful decisions. Your work will directly shape how customers are rewarded, recognised, and retained - influencing behaviour at scale across food, fashion, and home.

Key accountabilities and measures

• You’ll own the loyalty test-and-learn plan end-to-end - from hypothesis generation through test design, deployment, measurement, and scaling - and act as the connective tissue across commercial, product, data science and analytics
• Identify opportunities to evolve the loyalty engine, improve customer targeting, and deliver more for both customers and the business.
• Work cross-functionally with Product, Data Science, Commercial and Analytics to drive optimisation to unlock business and customer KPIs. From personalisation, targeting and allocation logic to reward design
• Partner with Analytics and Commercial teams to monitor performance and identify strategic and commercial opportunities. Mobilise team around these opportunities and optimise loyalty’s impact on customer and commercial KPIs (e.g. frequency, retention, incremental revenue, profit)
• Translate data into insight-rich stories, delivering reporting and presentations that bring loyalty performance to life across a variety of business functions and teams.
• Champion test-and-learn culture, ensuring that every experiment feeds into an ongoing cycle of improvement and innovation.
• You’ll influence senior leaders across Commercial, Food, Digital Product and Data Science, and be a key voice in quarterly performance reviews and roadmap prioritisation
• Success will look like increased test velocity, measurable lift in ROI from offer targeting, and clear, compelling reporting that drives business action

Key skills

• Experience in loyalty or customer growth roles in a retail, ecommerce, or consumer brand environment.
• Strong understanding of data science concepts e.g. personalisation, propensity modelling, clustering, predictive analytics.
• Proven track record designing and leading test-and-learn programmes.
• Skilled in analysing results and building clear, compelling reporting to drive decisions.
• Confident presenting results and plans to different stakeholders using a variety of mediums
• Commercially astute, with a strong grasp of customer value and profitability levers.
• Comfortable translating between business needs and technical capabilities.
• Curious, collaborative, and always striving to improve the customer experience