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Rate: £500-600/day Outside IR35

Duration: Initial 6-Month Contract (Extension Likely)

Location: London (Hybrid)

Office Attendance: 2 days per week in the London office.

The Opportunity

We’re supporting a major UK retailer on a large-scale supply chain optimisation programme and are looking for a Senior Data Scientist with a strong background in Operational Research and optimisation.

This is not a Generative AI, NLP, or customer analytics role. Instead, you’ll be working on highly complex optimisation challenges that drive real-world operational decisions across a large supply chain network.

The programme has been running for several years and is viewed as a long-term strategic initiative, with further investment already secured.

The Role

You’ll be responsible for designing, developing and enhancing optimisation models that support large-scale supply chain decision-making.

Key Responsibilities

• Architecting and designing optimisation models for complex logistics and supply chain challenges
• Improving and scaling existing optimisation solutions
• Working closely with stakeholders to translate business problems into mathematical models
• Delivering solutions capable of handling billions of potential decision combinations
• Supporting the ongoing development of a critical optimisation platform used across the organisation

Required Experience

We’re particularly interested in candidates who can demonstrate:

• Strong experience in optimisation, Operational Research, or mathematical modelling
• Experience solving real-world supply chain, logistics, inventory, transportation, or network optimisation problems
• Hands-on experience with optimisation platforms such as AIMMS, AMPL, Gurobi, CPLEX, FICO Xpress, or similar
• Strong Python skills
• Experience working with large-scale optimisation problems where solution quality and performance are critical
• A strong academic background in Mathematics, Operational Research, Statistics, Engineering, Computer Science, or a related discipline

Ideal Background

Suitable candidates may come from:

• Retail
• Logistics
• Transportation
• Manufacturing
• Supply Chain Technology
• Warehousing & Distribution
• Airline Operations
• E-commerce Fulfilment

A PhD is not essential, but candidates will typically possess strong mathematical and analytical depth. Those with PhD research linked to real-world optimisation problems are highly encouraged to apply.

What They’re Looking For

Beyond technical expertise, the team values individuals who are:

• Naturally curious
• Proactive problem solvers
• Comfortable challenging assumptions
• Strong communicators who ask the right questions
• Passionate about solving complex operational problems

Interview Process

• 1-2 stage interview process
• Quick turnaround on feedback
• Immediate requirement

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Rate: £600 per day (Outside IR35)
Contract Length: 3 Months
Location: Hybrid / Remote

An opportunity for an experienced Machine Learning Engineer to join a growing data team delivering innovative ML solutions. You’ll work closely with stakeholders to develop, deploy, and optimise machine learning models that drive business outcomes.

Key Responsibilities

• Design, build, and deploy machine learning models.
• Develop scalable data and feature engineering pipelines.
• Optimise model performance and production readiness.
• Work with large datasets to solve complex business challenges.
• Collaborate with Data Scientists, Engineers, and Product teams.
• Support model testing, validation, and deployment.

Key Skills

• Strong Python and SQL skills.
• Experience building and deploying ML models in production.
• Hands-on knowledge of machine learning frameworks (Scikit-learn, TensorFlow, PyTorch).
• Data engineering and pipeline development experience.
• Cloud experience (AWS, Azure, or GCP).
• Strong understanding of software engineering best practices.
• Experience working in agile environments.

Contract: 3 Months | £600/day Outside IR35

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Contract Data Scientist

London | Outside IR35 £500-560 per day| 2-months

This is an opportunity to join a specialist analytics consultancy on a high-impact insurance analytics project. You’ll play a key role in developing predictive models and customer segmentation frameworks that directly support commercial decision-making, working with rich first-party customer and transactional data from day one.

The Company

They are a specialist analytics consultancy that delivers advanced data science and predictive modelling solutions for enterprise clients. Their technology is deployed within client environments, helping organisations understand customer behaviour, forecast future outcomes, and identify opportunities for growth. They combine data science, analytics, and commercial insight to solve complex business challenges across customer-focused industries.

The Role and Deliverables

• Build customer segmentation and clustering models to identify meaningful customer groups.
• Develop propensity models and predictive analytics solutions to support business decision-making.
• Forecast customer behaviour and future customer value using advanced modelling techniques.
• Analyse motor and home insurance customer journeys, quote behaviour, and conversion patterns.
• Design a core segmentation framework with multiple supporting sub-segmentations.
• Package and document models for deployment and handover to engineering teams.

Your Skills & Experience

• Strong experience delivering customer segmentation and clustering projects using unsupervised learning techniques.
• Demonstrated capability in propensity modelling, predictive modelling, and forecasting.
• Strong Python and SQL skills for data preparation, analysis, and model development.
• Experience working within Databricks and/or Microsoft Fabric environments.
• Comfortable developing solutions in notebook-based analytics environments.
• Experience within insurance, customer analytics, pricing analytics, retention, acquisition, churn modelling, customer lifetime value, or quote conversion analysis.
• Ability to work autonomously and quickly contribute within a fast-paced contract engagement.

How to Apply

If you have strong experience in customer analytics, predictive modelling, and insurance data science, apply today to discuss this contract opportunity in more detail.

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The Opportunity

We’re supporting a specialist data and analytics company that develops and licenses a proprietary customer intelligence platform used by enterprise clients. Their platform sits within client environments and leverages first-party customer data, transactions and behavioural events to identify where value is created, forecast future outcomes and drive customer growth through advanced analytics.

They are looking for an experienced Contract Data Scientist to join a critical insurance-focused project and take ownership of model development from day one.

The Project

Working within the insurance sector, you’ll build scalable customer analytics solutions focused on:

• Customer segmentation and clustering
• Propensity modelling
• Forecasting models
• Insurance customer behaviour analysis
• Large-scale model development and delivery

A key deliverable will be the creation of a primary customer segmentation framework, including multiple sub-segmentations, alongside propensity models that support commercial decision-making.

The project specifically focuses on motor and home insurance quote behaviour, so experience understanding insurance products, quote journeys and customer purchasing behaviour is essential.

What You’ll Be Doing

• Developing customer segmentation and clustering models
• Building propensity and predictive models
• Creating forecasting solutions using customer and transactional data
• Working within notebook-based analytics environments
• Packaging models for deployment and handing over to engineering teams
• Collaborating closely with Product, Data Science and Engineering leadership

Essential Skills

• Strong commercial Data Science experience
• Proven background delivering segmentation and clustering projects
• Hands-on propensity modelling experience
• Advanced Python
• Experience working in Databricks and/or Microsoft Fabric
• Experience developing models within notebook environments
• Ability to quickly understand business problems and deliver at pace
• Insurance sector experience

Highly Desirable

• Experience within motor or home insurance
• Understanding of insurance quote journeys and buying behaviour
• Experience delivering customer analytics projects using first-party customer data
• Previous contractor experience in fast-paced delivery environments

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Contract Data Scientist, Search & Sort Order
Remote

Outside IR35

£400 – £480 Per Day

3 Month Duration

The Company

They are a well-established consumer marketplace business with a large and diverse inventory of products available across multiple markets. Data and experimentation play a central role in their decision-making, with a strong focus on delivering exceptional user experiences through intelligent search and recommendation capabilities. You will join a collaborative environment where data science has a direct influence on commercial outcomes and customer engagement.

The Role and Deliverables

• Improve search ranking and recommendation performance across a large-scale digital platform.
• Design, build, and evaluate new search and sort order methodologies to optimise relevance and customer engagement.
• Develop and apply learning-to-rank and machine learning approaches to improve search outcomes.
• Run A/B tests, analyse results, and measure performance against key business metrics including conversion, click-through rate, and revenue impact.
• Build dashboards and reporting tools to communicate experiment outcomes and recommendations to stakeholders.
• Deploy machine learning solutions into production environments and support ongoing optimisation.

Your Skills & Experience

• Strong experience using Python and SQL for data science and analytics.
• Experience working with Snowflake and AWS within production environments.
• Proven capability in search ranking, recommendation systems, or relevance optimisation.
• Strong understanding of experimentation frameworks, A/B testing, and statistical analysis.
• Experience measuring and reporting on KPIs including conversion, customer engagement, and commercial performance.
• Capability to deploy and maintain machine learning solutions in production.
• Experience with learning-to-rank methodologies is highly desirable.
• Exposure to tools and techniques such as Metaflow, XGBoost, PyMC, Streamlit, propensity modelling, or optimisation methods would be beneficial.
• Experience within digital marketplaces, travel platforms, e-commerce, classifieds, or consumer-facing search environments is advantageous.

How to Apply

If you’re a Data Scientist with expertise in search ranking, recommendation systems, experimentation, and production machine learning, we’d be keen to hear from you. Apply today to discuss this contract opportunity in more detail.

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Head of Data Science Contract Role

Location: London

Day Rate: £850 per day Outside IR35

Working Pattern: Hybrid, 3 days per week onsite in London

This is a unique opportunity to lead a high-impact data science transformation within the pharmaceutical industry. You will be responsible for shaping enterprise-wide data science capabilities, driving the adoption of advanced analytics and AI, and enabling better research, development, and commercial outcomes through data-driven decision making.

The Company

They are a global pharmaceutical organisation investing heavily in data, analytics, and artificial intelligence to accelerate innovation across the healthcare lifecycle. Data science is a strategic priority, supporting activities across research, clinical development, medical affairs, and commercial functions. As they continue to scale their data capabilities, they are seeking a Head of Data Science to provide leadership, direction, and technical expertise across the organisation.

The Role and Deliverables

• Define and execute the organisation’s data science strategy, ensuring alignment with business and scientific objectives.
• Lead the delivery of machine learning, predictive analytics, and AI initiatives across pharmaceutical and commercial use cases.
• Build strong relationships with senior stakeholders across data, technology, scientific, and business functions.
• Establish best practices for model development, governance, deployment, and performance monitoring.
• Drive the adoption of scalable data science solutions that improve decision making and operational effectiveness.
• Mentor and develop data science teams while fostering a culture of innovation and continuous improvement.

Your Skills & Experience

• Strong experience leading data science functions within pharmaceutical, biotechnology, healthcare, or life sciences environments.
• Deep expertise in machine learning, statistical modelling, and advanced analytics.
• Strong Python skills and experience working with modern data science and cloud platforms.
• Proven ability to translate complex scientific and business challenges into actionable data science solutions.
• Experience influencing senior stakeholders and operating at executive level.
• Strong understanding of MLOps, model governance, and deploying machine learning solutions into production.
• Excellent communication skills with the ability to engage both technical and non-technical audiences.

How to Apply

If you are a Data Science Leader or Head of Data Science looking to shape the future of analytics and AI within a leading pharmaceutical organisation, apply today to learn more about this contract opportunity.

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Data Scientist
London
2 Days in Office
Outside IR35
£500 – £600 Per Day
6 months long

The Company
They are a well-established media organisation with a strong presence across digital and traditional channels. The business is heavily invested in data and analytics, using insights to enhance audience experiences and support growth initiatives. They foster a collaborative environment where data science plays a key role in business strategy. You will join a team that values innovation, experimentation, and continuous learning.

The Role and Deliverables

• Build and deploy data science solutions to support audience growth, content optimisation, and commercial performance.
• Analyse large and complex datasets to identify trends, opportunities, and actionable insights.
• Develop predictive models and machine learning solutions to improve business decision-making.
• Collaborate with stakeholders across analytics, product, marketing, and commercial teams.
• Communicate findings through clear visualisations, presentations, and recommendations.
• Contribute to the development of best practices for data science and advanced analytics within the organisation.

Your Skills & Experience

• Strong experience applying statistical analysis and machine learning techniques to real-world business challenges.
• Advanced programming capability in Python and experience working with data science libraries.
• Strong SQL skills and experience working with large-scale datasets.
• Experience developing predictive models, segmentation frameworks, or recommendation systems.
• Ability to translate complex analytical findings into clear business recommendations.
• Experience using data visualisation tools to communicate insights effectively.
• Strong stakeholder management and communication skills.
• A proactive approach to problem-solving and delivering measurable business impact.

How to Apply
If you are interested in this Data Scientist opportunity and would like to learn more, please apply with your updated CV.

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Consumer Goods Data Scientist (Contract)
London
2 Days in Office
Outside IR35
£400 – £500 Per Day
6 months long

The Company
They are a well-established consumer goods business with a strong presence across multiple markets. The organisation is investing heavily in data and analytics to improve customer understanding, optimise commercial performance, and support strategic decision-making. You will join a collaborative team that values innovation, curiosity, and evidence-based thinking.

The Role and Deliverables

• Develop and deploy data science solutions to address customer, marketing, and commercial challenges.
• Build predictive models to support demand forecasting, customer behaviour analysis, and business planning.
• Analyse large datasets to identify trends, opportunities, and actionable insights.
• Partner with stakeholders across commercial, marketing, and analytics functions to translate business requirements into data-driven solutions.
• Present findings and recommendations to both technical and non-technical audiences.
• Support the continuous improvement of analytics methodologies, tools, and processes.

Your Skills & Experience

• Strong experience applying data science techniques within a consumer goods, retail, or customer-focused environment.
• Demonstrated capability in machine learning, statistical modelling, and predictive analytics.
• Proficiency with Python, SQL, and relevant data science libraries.
• Experience working with large and complex datasets to generate business value.
• Ability to communicate technical findings clearly to senior stakeholders.
• Experience delivering end-to-end data science projects from problem definition through to implementation.
• Strong commercial awareness and a data-driven approach to decision-making.

How to Apply
If you are interested in applying your data science expertise within a forward-thinking consumer goods environment, please submit your application for further information

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LLM Engineer
Remote (UK) | Outside IR35 | £500-£600 per day
This is an opportunity to join a high-impact AI programme focused on developing production-grade Large Language Model solutions. You will play a key role in designing and delivering cutting-edge generative AI applications, working on projects that have a direct impact on business operations and customer experience.
The Company
They are a technology-driven organisation investing heavily in artificial intelligence and machine learning. Their teams are focused on building innovative products and services that leverage the latest advancements in generative AI. Operating within a collaborative and agile environment, they are looking for an experienced contractor to accelerate the delivery of key AI initiatives.
The Role and Deliverables

• Design, develop, and deploy LLM-powered applications for production environments.
• Build and optimise Retrieval-Augmented Generation (RAG) pipelines and supporting infrastructure.
• Integrate LLM solutions with vector databases, APIs, and cloud-based services.
• Evaluate, monitor, and improve model performance through testing and optimisation.
• Collaborate with data scientists, engineers, and business stakeholders to deliver scalable AI solutions.
• Produce technical documentation and best practice guidance to support ongoing development.

Your Skills & Experience

• Strong experience building and deploying Large Language Model applications.
• Strong Python development skills and experience with frameworks such as LangChain, LlamaIndex, or similar.
• Experience implementing RAG architectures and working with vector databases.
• Strong understanding of prompt engineering, model evaluation, and AI application optimisation.
• Experience deploying solutions within AWS, Azure, or GCP environments.
• Familiarity with MLOps practices, CI/CD pipelines, and software engineering best practices.
• Ability to work independently and communicate effectively with both technical and non-technical stakeholders.

How to Apply
If you are an experienced LLM Engineer looking for a 6-month contract opportunity, apply with your latest CV for immediate consideration.

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Data Scientist
£500-£650 per day
London | Outside IR35

The Company

They are a well-established retail business with a strong focus on leveraging data to enhance customer experience and commercial outcomes. The organisation is investing heavily in its analytics and data science capabilities to drive smarter decision-making across multiple business functions. You will join a collaborative environment where data plays a central role in shaping strategy and operational performance.

The Role and Deliverables

• Develop and deploy predictive models to support customer, marketing, and commercial initiatives.
• Analyse large customer and transactional datasets to identify actionable business insights.
• Build segmentation, propensity, forecasting, and recommendation models.
• Partner with stakeholders across marketing, operations, and commercial teams to translate business requirements into analytical solutions.
• Present findings and recommendations to both technical and non-technical audiences.
• Support the ongoing improvement of data science best practices and model performance monitoring.

Your Skills & Experience

• Strong experience applying data science techniques within a commercial environment.
• Advanced Python skills for statistical analysis, machine learning, and data manipulation.
• Strong SQL capabilities and experience working with large-scale datasets.
• Experience building predictive models, customer analytics solutions, and forecasting models.
• Ability to communicate complex analytical findings in a clear and business-focused manner.
• Experience working with cloud platforms such as AWS, Azure, or GCP is advantageous.

How to Apply

If you are an experienced Data Scientist looking for a contract opportunity within a retail environment, please apply with your latest CV for further discussion.

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