£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.

DV Data ScientistLocation: RAF Wyton, Huntingdon (45 days onsite)Clearance: Active DV EssentialContract: 12 months Inside IR35 (extension likely up to 3 years) or Permanent roleRate: Negotiable
Programme Overview
Arqtech Search is supporting a defence delivery partner on a secure data transformation programme within an RAF operational environment. The programme focuses on designing, sustaining and evolving secure data platforms that underpin intelligence, surveillance and operational decision-support capabilities. The Data Scientist will play a critical role in delivering resilient, maintainable, and scaleable AI solutions.

Key Responsibilities

• Maintain and continuously improve the AS AI computer vision model operating in production.
• Support and manage the COTS model to ensure consistent performance.
• Expand the solutions functionality through ongoing development, introducing additional features and new use cases.
• Uphold adherence to security, ethical, and regulatory requirements.
• Deliver AI solutions that are robust, maintainable, and scalable.

Required Skills

• Programming: Advanced proficiency in Python.
• ML Engineering & MLOps: Hands-on experience with widely used ML tooling (e.g., MLflow, Airflow, Docker, Kubernetes).
• CI/CD & DevOps: Familiarity with CI/CD workflows and automation tools (e.g., GitLab, Jenkins) for streamlined deployments.
• Data Engineering Fundamentals: Knowledge of ETL (Extract, Transform, Load) processes, data warehousing, and streaming architectures.
• System Architecture: Experience designing and implementing scalable, cloud-native pipelines and systems.

Due to nature of this work, active DV clearance is essential and 5 days per week are required on-site in RAF Wyton for a 9 day condensed working week (every other Friday off).We cannot consider candidates who do not currently hold an active DV clearance.

About the job.

At National Highways, we keep the country moving - and powerful geospatial data keeps us running smoothly. Our GIS and Registration Team is responsible for the accurate, reliable land asset information that underpins the entire Strategic Road Network.

We’re looking for a Senior GIS Analyst, to help safeguard and assure the datasets that define our land ownership, boundaries and statutory responsibilities. Your work will drive national programmes like the Land Registry Accelerated Registration Programme and support key commitments in our Government licensing agreement.

If you want your GIS expertise to make a visible, national scale impact, this is your opportunity to shape the accuracy and integrity of the data that keeps the network safe, efficient and future ready.

• Provide quality assurance and technical oversight of GIS data produced by the team, auditing datasets and offering clear advice, guidance and constructive feedback to ensure outputs meet agreed standards, specifications and business targets.
• Maintain and assure the accuracy and integrity of digital records relating to operational land interests within corporate GIS systems.
• Interpret legal documents, title plans, imagery and other authoritative sources, translating these into accurate, attributed geospatial data in line with defined specifications and governance requirements.
• Create, maintain and present high quality geospatial datasets and outputs to support business activities across the organisation, ensuring data is fit for purpose, clearly communicated, compliant with standards and supported by appropriate metadata.
• Support operational and strategic decision making by responding to enquiries from across the business, providing expert interpretation of mapped boundaries, land interests and associated data, and advising on the implication of spatial information

About you.

• Degree level qualification or equivalent experience in GIS, with strong understanding of coordinate reference systems and digital spatial representation.
• Working knowledge of GIS programming and scripting (for example, Python, R, FME & SQL), with the ability to adapt existing scripts or workflows to improve efficiency and reliability
• Strong capability in geospatial data management, including auditing and reviewing datasets and processes, applying standards and metadata, and identifying improvements to data quality and governance.
• Demonstrates a continuous improvement mindset, checking performance against outcomes, identifying issues and proposing or implementing corrective actions where required
• Provides constructive feedback and works collaboratively with colleagues, demonstrating the ability to lead or support others as required to deliver shared objectives.

About us.

Here at National Highways, we manage and improve England’s motorways and major A roads, helping our customers have safer, smoother and more reliable journeys. Our priorities are safety, customers and delivery, and at the core of this, are our values of passion, integrity, safety, teamwork and ownership.

Business Services plays a crucial role in supporting the efficient operation and growth of the strategic road network. We provide a wide range of essential services across the organisation, ensuring that all functions run smoothly and effectively. We work behind the scenes to support the delivery of high-quality infrastructure and services, ensuring that National Highways meets its commitments to safety, sustainability, and customer satisfaction.

Our key areas of focus include procurement, finance, human resources, IT, and strategic planning. We ensure the company operates efficiently, delivers projects on time and within budget, and meets the needs of stakeholders. By offering expert advice, managing resources, and driving operational excellence, we support National Highways in achieving its mission of maintaining and improving the road network across the country.

External candidates will be offered a starting salary at the lower end of the pay scale, while current employees will be appointed in accordance with our established pay policy.

We are committed to creating a diverse environment and welcome applicants from all backgrounds.

JOB- Machine Learning Engineer

LOCATION- Reading

TERM- Permanent

SALARY- £60,000 to £90,000 per annum (plus benefits)

My client is a technology-focused organisation developing advanced AI and data-driven solutions across a range of industries. They are looking to expand their technical team by hiring a Machine Learning Engineer to support the development and deployment of intelligent systems from their offices in Reading.

The Machine Learning Engineer will ideally have the following attributes:

Knowledge / experience in Machine Learning, Artificial Intelligence, or Data Science

A degree qualification (BSc, MSc, PhD etc.) in Computer Science, Data Science, Mathematics, Statistics, Artificial Intelligence or similar

Strong programming skills in Python

Experience with machine learning libraries such as TensorFlow, PyTorch, or Scikit-learn

Experience working with large datasets and building data pipelines

Knowledge of cloud platforms such as AWS, Azure, or GCP would be beneficial

Experience deploying machine learning models into production environments

Understanding of APIs, data processing frameworks, and software development best practices

Ability to work both independently and as part of a collaborative technical team

Excellent communication skills (both verbal and written)

Keen to develop technically and grow within a fast-paced environment

The Machine Learning Engineer role will involve:

Working within the existing data and engineering teams to develop machine learning solutions

Designing, building, and deploying machine learning models

Preparing and processing datasets for model training and evaluation

Improving model performance through experimentation and optimisation

Collaborating with software engineers to integrate ML solutions into applications

Researching and implementing new machine learning techniques where appropriate

If you are interested in this position, please apply with an up-to-date CV as soon as possible, along with your availability and salary expectations.

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Please note this is a training course and fees apply

Are you looking to benefit from a new career in Data Analysis?

If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future as a Data Analyst

We do this using our specialised Data Analyst career programme which looks to assist and place qualified candidates into a career pathway in Data Analysis.

Please note this career program is designed for entry level individuals with limited or no experience, so please do not apply if you are already an experience Data Analyst as we will be looking primarily at entry level roles.

Demand for Data Analysts has grown 20% year on year with experienced analysts easily commanding salaries of 50k+. All business decisions rely on data to ensure correct business decisions are made and therefore the role of the data analyst in the new digital world has become essential for business owners.

Below are current average salaries in the sector for lower-level positions and fully trained Data Analysts:

• Junior Data Analyst - 30,000
• Data Analyst - 50,000
• Business Data Analyst - 67,500
• Data Analytics Analyst - 80,000
• Business Analysts - 60,000

Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Analysis.

The courses in the package have been identified by our recruitment partners as industry standards for the UK/European and International Data Analysis sector.

Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers.

Whether you are working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Your job and career goals are completed in 4 easy steps listed below.

Step 1 - CompTIA Data+ Qualification

The first step is completing the CompTIA Data+ Qualification accredited by CompTIA.

This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data.

Study time for the qualification is approximately 30 hours and qualification is achieved by completing a 1-hour multiple choice exam.

The course is provided online and comes complete with exam simulators and revision tools.

You will be provided with access to a tutor and a 1-hour online revision workshop prior to sitting your exam.

This qualification will set you on a route to becoming a data analyst.

Step 2 - Data Administration Training

Data is extracted using various method which are normally IT driven.

Therefore, we will provide you with access to the following additional courses to ensure you are suitably employable as a data analyst.

• Microsoft excel - to expert level.
• Learn SQL - the programming language used for extracting data from more complex databases.
• Learn Python 3 - Python 3 is a simple to use programming language used by many analysts.
• Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend.

Study time for these courses is approximately 30-60 hours and qualification is achieved through completion of the course with no exam.

Step 3 - Business Analysis Foundation

Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa.

Adding a Business Analyst Foundation certificate will make you much more employable and enable you to cross over into business analyst roles and hybrid roles. Business Analysis Foundation accredited by the BCS (The British Computer Society also known as the Chartered Institute of IT).

Study time for this course is approximately 15 hours and qualification is achieved through an online BCS exam.

Step 4 - Recruitment Support

Now you are qualified for an entry level data analyst position our recruitment support team will now begin collaborating with you to help you secure your first a suitable role based on your new qualifications and any other experience you may have.

We have been helping candidates start and build careers in the project management industry since 2007 and have a 4.8 Trustscore on Trustpilot.

Our Recruitment Support team will help you work through job applications, interviews and provide you with a full cv review based around your new qualification and written to maximise your chances of obtaining a role in the project management sector.

They will provide you with guidance as to which roles our most suitable for you as an entry level project sector worker aiming to become a project manager. This will include mock job interviews as well as any help you feel you need.

Our money back guarantee

If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams.

However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months.

Check our testimonials from the hundreds of candidates we have already helped.

What Now?

To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front.

Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.

Are you looking to benefit from a new career in Data Analysis?

If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future as a Data Analyst

We do this using our specialised Data Analyst career programme which looks to assist and place qualified candidates into a career pathway in Data Analysis.

Please note this career program is designed for entry level individuals with limited or no experience, so please do not apply if you are already an experience Data Analyst as we will be looking primarily at entry level roles.

Demand for Data Analysts has grown 20% year on year with experienced analysts easily commanding salaries of £50k+. All business decisions rely on data to ensure correct business decisions are made and therefore the role of the data analyst in the new digital world has become essential for business owners.

Below are current average salaries in the sector for lower-level positions and fully trained Data Analysts:

• Junior Data Analyst - £30,000
• Data Analyst - £50,000
• Business Data Analyst - £67,500
• Data Analytics Analyst - £80,000
• Business Analysts - £60,000

Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Analysis.

The courses in the package have been identified by our recruitment partners as industry standards for the UK/European and International Data Analysis sector.

Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers.

Whether you are working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Your job and career goals are completed in 4 easy steps listed below.

Step 1 - CompTIA Data+ Qualification

The first step is completing the CompTIA Data+ Qualification accredited by CompTIA.

This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data.

Study time for the qualification is approximately 30 hours and qualification is achieved by completing a 1-hour multiple choice exam.

The course is provided online and comes complete with exam simulators and revision tools.

You will be provided with access to a tutor and a 1-hour online revision workshop prior to sitting your exam.

This qualification will set you on a route to becoming a data analyst.

Step 2 - Data Administration Training

Data is extracted using various method which are normally IT driven.

Therefore, we will provide you with access to the following additional courses to ensure you are suitably employable as a data analyst.

• Microsoft excel - to expert level.
• Learn SQL - the programming language used for extracting data from more complex databases.
• Learn Python 3 - Python 3 is a simple to use programming language used by many analysts.
• Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend.

Study time for these courses is approximately 30-60 hours and qualification is achieved through completion of the course with no exam.

Step 3 - Business Analysis Foundation

Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa.

Adding a Business Analyst Foundation certificate will make you much more employable and enable you to cross over into business analyst roles and hybrid roles. Business Analysis Foundation accredited by the BCS (The British Computer Society also known as the Chartered Institute of IT).

Study time for this course is approximately 15 hours and qualification is achieved through an online BCS exam.

Step 4 - Recruitment Support

Now you are qualified for an entry level data analyst position our recruitment support team will now begin collaborating with you to help you secure your first a suitable role based on your new qualifications and any other experience you may have.

We have been helping candidates start and build careers in the project management industry since 2007 and have a 4.8 Trustscore on Trustpilot.

Our Recruitment Support team will help you work through job applications, interviews and provide you with a full cv review based around your new qualification and written to maximise your chances of obtaining a role in the project management sector.

They will provide you with guidance as to which roles our most suitable for you as an entry level project sector worker aiming to become a project manager. This will include mock job interviews as well as any help you feel you need.

Our money back guarantee

If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams.

However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months.

Check our testimonials from the hundreds of candidates we have already helped.

What Now?

To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front.

Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.

AI Engineer - Manchester My client, a forward-thinking organisation, is seeking AI Engineers to deliver practical AI solutions that streamline operations and improve business performance. This is an exciting opportunity to work at the forefront of applied AI, helping the company embed intelligent automation and data-driven decision-making across its functions.

Key Responsibilities Design, build, and deploy AI-driven solutions to enhance business processes.

Collaborate with stakeholders to identify automation and optimisation opportunities.

Integrate AI tools and models within existing systems and workflows.

Support and upskill internal teams on effective AI adoption and usage.

Contribute to the development of scalable prototypes and production-ready solutions.

Ideal Candidate Hands-on experience with AI/ML tools (e.g. NLP, predictive modelling, process automation).

Familiarity with cloud platforms (AWS, Azure, or GCP).

LLM experience

Strong problem-solving and collaboration skills.

Ability to communicate technical concepts clearly to non-technical audiences.

Passionate about applying AI responsibly and effectively in business contexts.

Benefits Hybrid working (Manchester base)

Dedicated training and development budget

Excellent career progression opportunities

Interested? Click Apply Now to join an organisation committed to innovation.AI Engineer (Manchester / Hybrid)

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AI Engineer - Manchester My client, a forward-thinking organisation, is seeking AI Engineers to deliver practical AI solutions that streamline operations and improve business performance. This is an exciting opportunity to work at the forefront of applied AI, helping the company embed intelligent automation and data-driven decision-making across its functions. Key Responsibilities Design, build, and deploy AI-driven solutions to enhance business processes. Collaborate with stakeholders to identify automation and optimisation opportunities. Integrate AI tools and models within existing systems and workflows. Support and upskill internal teams on effective AI adoption and usage. Contribute to the development of scalable prototypes and production-ready solutions. Ideal Candidate Hands-on experience with AI/ML tools (e.g. NLP, predictive modelling, process automation). Familiarity with cloud platforms (AWS, Azure, or GCP). LLM experience Strong problem-solving and collaboration skills. Ability to communicate technical concepts clearly to non-technical audiences. Passionate about applying AI responsibly and effectively in business contexts. Benefits Hybrid working (Manchester base) Dedicated training and development budget Excellent career progression opportunities Interested? Click Apply Now to join an organisation committed to innovation. AI Engineer –  (Manchester / Hybrid)

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).

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Technical Data Engineer / Analyst | Contract | Azure | 6 months | Hybrid | Outside IR35 | £425 - £475 | Nottingham | We’re supporting a major data transformation programme and looking for a Technical Data Analyst to help migrate legacy systems into a modern Azure data platform. This is a hybrid role 3 days a week in the Nottingham office which is none negotiable. This is a ideal role for someone who is looking for hands on experience with Azure analytics tools and thrives in a data heavy environment. What you'll be doing: Analysing, understanding, and documenting legacy data structures Supporting data model mapping from old systems into the new Azure platform Validating migrated datasets for accuracy and completeness Creating reporting assets and dashboards using Power BI Working with engineers to identify data issues, test pipeline outputs, and improve overall data quality Key Skills Strong SQL skills and experience working with Azure‑hosted datasets Power BI reporting/dashboards creation Python experience Exposure to Azure Data Lake, Databricks, or Data Factory is beneficial If this is a role that suits your skill set, you are immediately available and can work 3 days a week in the office near Nottingham then please apply for the attached job or send your CV to (url removed). Technical Data Engineer / Analyst | Contract | Azure | 6 months | Hybrid | Outside IR35 | £425 - £475 | Nottingham

Machine Learning Engineer (Python AWS MLOps) Remote UK to £90k

Are you a tech savvy Machine Learning Engineer with experience of implementing ML algorithms into production?

You could be progressing your career in a senior, hands-on role as part of a friendly and supportive international team at a growing and hugely successful European car insurance tech company as they expand their UK presence; their platform enables an insurance quote to be made to the consumer within 60 seconds, using just 4 clicks.

As a Machine Learning Engineer you’ll join a cross functional team, collaborating with Data Scientists and Software Engineers on complex insurance underwriting and pricing systems. They’ll be a range of projects including data modelling and implementing Machine Learning algorithms, with Greenfield projects in the pipeline around forecasting and pricing.

There’s a collaborative team Agile environment where you’ll participate in technical discussions and have your voice heard, there’s also opportunities to mentor other more junior team members if desired.

Location / WFH:

The company is a big advocate of flexible working and prides itself on DEI; you can go into the London office as often or as little as desired and can work fully remotely from anywhere in England; you can also work at times that suit you.

About you:

You are a data savvy Machine Learning Engineer with advanced Python coding skills and a strong knowledge of AWS

You have experience of across the full lifecycle of ML model development including into production

You’re collaborative, enjoy problem solving and working with others to overcome technical challenges

You have a good knowledge of modern software engineering best practices, microservices, TDD / DDD, common Design Patterns

Experience with Databricks, PostgreSQL, Amazon RedShift or MLflow would be great but not essential

What’s in it for you:

As a Machine Learning Engineer (Python AWS) you will earn a competitive package:

Up to £90k salary

Remote working including flexible working hours

Workplace nursery scheme

Enhanced maternity package

25 days holiday plus ability to buy or sell 5 days p/year + extra ‘duvet day’

Pension, Private Medical and Dental Insurance, Life Assurance, Employee Assistance Programme

Weekly Yoga and monthly Acupuncture sessions, Headspace membership

Diverse, inclusive team environment with a range of support networks

A range of other perks including Perkbox, cycle to work, season ticket loan

Apply now to find out more about this Senior Machine Learning Engineer (Python AWS MLOps) opportunity.

At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We’re an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.

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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

Exalto consulting are currently recruiting for a contract data scientist, this is inside IR35 paying £500 per day, need to go to site x3 days a week in Hounslow.

Skills/capabilities
• Strong knowledge of either machine learning and optimization techniques, incl. supervised (regression, tree methods, etc.), unsupervised (clustering) learning, and operations research (linear, mixed integer programming, heuristics)
• Fluent in Python (required) and other programming languages (preferred) with strong skills in applying DS, ML, and OR packages (scikit-learn, pandas, numpy, gurobi etc.) to solve real-life problems and visualise the outcomes (e.g. seaborn)
• Proficient in working with cloud platforms (AWS preferred), code versioning (Git), experiment tracking (e.g. MLflow)
• Experience with cloud-based ML tools (e.g. SageMaker), data and model versioning (e.g. DVC), CI/CD (e.g. GitHub Actions), workflow orchestration (e.g. Airflow/Dagster) and containerised solutions (e.g. Docker, ECS) nice to have
• Experience in code testing (unit, integration, end-to-end tests)
• Strong data engineering skills in SQL and Python
• Proficient in use of Microsoft Office, including advanced Excel and Powerpoint Skills
• Advanced analytical skills, including the ability to apply a range of data science and analytic techniques to quickly generate accurate business insights

If you have the above experience and are looking for a new contract role please send your CV for immediate consideration as our client are looking to hire ASAP

contract data scientist - Hounslow x3 days a week - £500 inside IR35

We are helping a FTSE 100 consumer health company recruit an Head of Marketing Mix Modelling The project/initiative name MMM includes all work pertaining to improving media spend coverage of Marketing Mix Modelling from 65% to 80% through availability of Marketing Mix Models (in-house and outsourced to a modelling partner). Multiple squads are part of the MMM initiative and loosely ladder up into the follow different areas: - Modelling. - Data Ingestion & automation. - Internalisation of external developed architecture. - Visualisation. Background - As we continue to increase the coverage of MMM via our internally built capability, we require a MMM SME to aid the Business Units (BUs) translate modelling results into actionable insights to realise value. - We require a seasoned MMM professional with extensive CPG/Consumer health experience to scope MMM deliveries, deliver model results and work with local stakeholders to provide actionable insights with immediate impact. Scope - Work with local stakeholders to scope MMM deliveries (including what data to include and aligning on the scope of the models). - Once the Data Scientists have complete models, deliver these models to the local stakeholders in the PowerBI report, and work with local stakeholders to provide actionable insights that have aide realising the value from the tool (eg by optimising the media mix). - Over 2025, deliver 25 BMCs models (phased quarterly). - Track value realisation with the aim to show a 5% increase in ROI from media spend. Capability - 7+ years' experience of delivering MMM to client either agency or client side. - Experience delivering models for consumer health brands. - Experience delivering models for clients with a global footprint (eg involved in projects across EMEA, APAC, US, LATAM etc. This role offers circa £750 a day inside of IR35 for an initial 12 months - full remote.

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.

JOB- AI Engineer

LOCATION- London (Hybrid 2 days per week in the office)

TERM- Permanent

SALARY- £70,000 to £100,000 per annum (plus benefits)

My client is an innovative fintech company developing intelligent, data-driven products to improve financial services and decision-making. They are looking to expand their technology team by hiring an AI Engineer to work on building and deploying machine learning and AI-powered solutions from their London office.

The AI Engineer will ideally have the following attributes:

Knowledge / experience in Artificial Intelligence, Machine Learning, or Data Science

A degree qualification (BSc, MSc, PhD etc.) in Computer Science, Artificial Intelligence, Mathematics, Data Science or similar

Strong programming skills in Python

Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn

Experience working with large datasets and building data pipelines

Knowledge of cloud platforms such as AWS, GCP, or Azure

Experience developing and deploying AI/ML models into production environments

Understanding of APIs, microservices, and modern software development practices

Ability to work both independently and as part of a collaborative engineering team

Excellent communication skills (both verbal and written)

Keen to develop technically and grow within a fast-paced fintech environment

The AI Engineer role will involve:

Working within the existing engineering and data teams to develop AI-driven products

Designing, building, and deploying machine learning models

Developing data pipelines and preparing datasets for model training

Optimising model performance and monitoring production systems

Collaborating with software engineers to integrate AI solutions into applications

Researching and implementing new AI techniques to improve product capabilities

If you are interested in this position, please apply with an up-to-date CV as soon as possible, along with your availability and salary expectations.

TPBN1_UKTJ

Your new company
One of the most influential Central Government Organisations in the current economic climate
Your new role
Data Scientist - SC Cleared - SQL, Python & R
What you’ll need to succeed
My client is looking for an Analytical Data Scientist, leading/working alongside a team of data scientists to deliver key outputs for commissioned projects (use cases).
You will also support the development of GSCIP through developing tools, data visualisations, and data available for analysis.
You will have the opportunity to work on bespoke data science projects to improve understanding and interpretation of the data, and enhance use case delivery capability.
This role can only be offered to candidates with Active and Existing SC or DV Clearance.

Essential Criteria:

• Experience of delivering high-quality coding projects that make use of at least two of: SQL, Python & R
• Experience of engaging with stakeholders across government to scope and deliver impactful analysis
• Experience of leading teams through complex data science projects - a track record of delivering complex data science projects on time to meet user needs, and overcoming any challenges
• A demonstrable commitment to developing your knowledge and expertise
• Significant technical data science knowledge

Desirable Criteria:

• Understanding of supply chain data sources
• Experience with Pyspark/Spark SQL
• Experience delivering interactive visualisations in Python and SQL
• Graph data experience, including with graph query languages and knowledge graphs
• Experience working on technical commercial procurements

This is a hybrid role at 40% and Monday is a mandatory team day. Successful candidates will join the role asap and interviews are to commence 16/3/26 onwards.

What you’ll get in return
This is an excellent role to join the GSCI Programme as an experienced Data Scientist, ensuring existing delivery and data standards are maintained and services scaled up!
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.

Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C’s, Privacy Policy and Disclaimers which can be found at (url removed)

Job Opportunity: Data Scientist Performance Intelligence Startup · Remote-first · England or Spain £45,000 – £60,000 depending on experience About the Company This is a really exciting opportunity with a fast-growing performance intelligence startup with a genuinely clever concept — think elite sports coaching, but applied to the workplace. The company helps employees, teams, and organisations reach peak performance by uncovering the root causes that hold people back, delivering personalised, data-driven insights and actionable solutions. They drive measurable business impact across things like sales growth, AI adoption, employee retention, burnout reduction, and risk management. It is, in short, a platform that takes data seriously and actually does something useful with it. Refreshing, right? The company is building toward an agent-first platform where AI becomes the primary interface for users — and they are looking for a talented Data Scientist to help make that a reality. The Role (No, you won't just be cleaning CSV files for eternity — though fair warning, some of that is inevitable in any data job.) This is a hands-on, high-impact position where the successful candidate will: \* Build, train, and deploy machine learning models — from exploratory analysis through to production-ready solutions that power the platform. Real models, in the real world. Not just PowerPoints about models. \* Develop and deploy AI agents using Databricks, Google AI Studio and/or Azure AI Foundry. These agents are the primary user interface for the product — so this is genuinely central to what the company does. \* Apply statistical rigour to psychometric and survey data, validating the company's proprietary measurement framework and identifying correlations that drive actionable insights. \* Advance analytical capabilities beyond aggregation — into predictive modelling, deep learning, and generative AI applications. The ambition is there; they just need the right person to execute it. \* Work closely with the CTO and tech team to integrate models into the platform. Collaboration is key — this is not a lone-wolf role. \* Translate complex findings into clear, actionable insights for product decisions and client-facing reports. The ability to explain results to non-technical stakeholders is genuinely valued here. ✅ What They're Looking For The must-haves (non-negotiable, unfortunately — they checked): \* 2–4 years of hands-on experience in data science, machine learning, or applied statistics. \* Strong Python skills with experience in ML frameworks such as scikit-learn, PyTorch, TensorFlow, or similar. \* Solid grounding in statistics — hypothesis testing, regression, correlation analysis, and experimental design. \* Experience with SQL and data manipulation at scale. \* Comfortable with ambiguity and working independently in a fast-moving startup environment. This is not a company with 47 layers of sign-off. Decisions happen quickly. \* Professional English proficiency (B2+ level). ⭐ Nice to Have Bonus points — none of these are dealbreakers, but they would make a hiring manager very happy: \* Experience with GenAI, LLMs, SLMs, prompt engineering, or agentic AI workflows. Given the direction of the product, this is increasingly relevant. \* Cloud AI platform experience — GCP, Azure, Databricks, or similar. \* Startup experience. You know what wearing multiple hats feels like, and you didn't hate it. \* A background in behavioural science, organisational psychology, or psychometrics — the company works heavily with survey data and measurement validation. \* Spark, Databricks, or distributed computing experience. \* Published research or an academic background in statistics, ML, or a quantitative field. What's on Offer \* Salary of £45,000–£60,000 depending on experience, with bi-annual salary reviews. \* Remote-first, flexible working environment. The company trusts its people to get the job done. \* A genuine opportunity to join a high-potential startup at an exciting stage and directly influence the product, technical direction, and culture. \* High ownership — ideas actually get built here, rather than disappearing into a backlog black hole. \* A high-growth career trajectory as the team and product scale. \* A team culture that values passion, autonomy, continuous learning, and collaborative problem-solving. Small egos encouraged. Location Valencia, Spain or East Midlands, England is preferred — but the company is open to candidates across England or Spain. The role requires willingness to meet in person once a month (and more as needed). Worth it for the Valencia weather alone, frankly

Our client, a prominent entity in the Defence & Security sector, is seeking a meticulous Data Scientist with a strong understanding of Linux, Data Science, and AWS to join their team. This is a contract position located in London for a duration of 12 months, requiring a UKIC DV clearance to undertake sensitive and impactful work.

Key Responsibilities:

• Develop and deploy data science solutions to support national security missions.
• Build and optimise data pipelines for processing large, complex datasets.
• Apply machine learning and statistical techniques to extract actionable insights.
• Create clear visualisations to communicate findings to stakeholders.
• Collaborate in agile teams to deliver robust, scalable solutions.
• Support cloud-based deployments and integration into operational environments.

Job Requirements:

• Proficiency with scripting languages like Python for data exploration, cleansing, and manipulation.
• Knowledge of machine learning models and statistical techniques, including validation.
• Understanding of data analytics and data visualisation techniques.
• Ability to process large datasets via batch or stream processing using Apache Spark or similar tools.
• Exposure to techniques used for acquiring and fusing data.
• Experience with cloud platforms (preferably AWS) or implementing cloud-based data science solutions.
• Knowledge of, or willingness to learn, DataOps.
• Experience with structured or unstructured databases.
• Experience with container technologies, including Docker and Kubernetes.
• Familiarity with agile ways of working.
• Understanding of software best practices including version control, CI/CD pipelines for automated testing, and deployment.
• Proficiency in Linux.
• BPSS & Current UKIC DV clearance.

Additional Details:

• Location: 5 days per week onsite - London
• Duration: 12 months

If you are a dedicated Data Scientist with the necessary clearances and skills, and are eager to contribute to mission-critical projects in the realm of national security, we want to hear from you. Apply now to take the next step in your career with our client.

• Must have active enhanced DV (West) Clearance
• Junior to Lead levels available
• £45k to £95k DoE plus 15% clearance bonus
• Must be willing to be full-time on-site in Cheltenham
• Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy

Who are we?

We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious client to work on a portfolio of public and private sector projects. Our client is a global leader in technology, consulting, and engineering services at the forefront of innovation to evolve the world of digital, cloud, and platforms. You’ll experience excellent career progression opportunities to develop your skillset and personal profile in an inclusive culture.

What will the Data Scientist be doing?

Our client is seeking individuals with strong technical expertise in machine learning, GenAI, computer vision, and data science, alongside solid skills in solution architecture and software engineering to design and scale impactful solutions. This role involves working closely with clients to identify challenges, define solutions, communicate their value clearly, and lead teams to successful delivery. There are also opportunities to publish whitepapers and represent the organisation at conferences, all within an inclusive and diverse working environment.

Key Skills and Requirements:

• Proficient in AI techniques including machine learning, GenAI, NLP, deep learning, graph analytics, and time series analysis.
• Strong communicator with the ability to simplify complex concepts, manage stakeholders, and motivate/lead Agile teams to deliver robust outcomes.
• Experienced in securing work through RFI/RFPs, bids, and presentations across public and private sectors.
• Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform.
• Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools.

To be Considered:

Please either apply by clicking online or emailing me directly at . For further information please call me on or - I can make myself available outside of normal working hours to suit from 7 am until 10 pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to connect with me on LinkedIn, just search for Henry Clay-Davies. I look forward to hearing from you.

KEY SKILLS:

Data Science / Data Scientist / AI Engineer / AI / Machine Learning / ML / NLP / GenAI / Stakeholder Engagement / Customer Engagement / AWS / Azure / Cloud / Docker / Kubernetes / CI/CD / Deep Learning