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AI/ML Engineer (Contract)

London
Fully Remote
Outside IR35
£400 – £500 Per Day
3 months long initially, may extended.

The Company

They are a well-established consumer goods business with a strong international presence and a growing investment in AI and advanced analytics. Data and technology are central to their strategy, with multiple initiatives focused on automation, personalisation, and operational efficiency. You will work within a collaborative environment where innovation is encouraged and modern machine learning technologies are actively adopted.

The Role and Deliverables

• Build, deploy, and maintain machine learning models for a range of business use cases.
• Develop scalable AI solutions that support customer, marketing, supply chain, and commercial functions.
• Work closely with data scientists, data engineers, and business stakeholders to translate requirements into production-ready solutions.
• Implement MLOps best practices to support model deployment, monitoring, and performance optimisation.
• Evaluate and integrate emerging AI technologies, including generative AI and large language models where appropriate.
• Support the development of a robust machine learning infrastructure and technical roadmap.

Your Skills & Experience

• Strong experience developing and deploying machine learning models in production environments.
• Excellent Python development skills and experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Experience working with cloud platforms such as AWS, Azure, or GCP.
• Strong understanding of MLOps, CI/CD principles, and model lifecycle management.
• Experience building scalable data and AI solutions using modern engineering practices.
• Ability to communicate technical concepts effectively to both technical and non-technical stakeholders.
• Experience within a consumer goods, retail, e-commerce, or FMCG environment would be advantageous.

How to Apply

If you are interested in this AI/ML Engineer opportunity and would like to learn more, please apply with your updated CV.

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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.

To Apply for this Job Click Here

To Apply for this Job Click Here

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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Data Scientist

£400 per day | Outside IR35 | Six months | Remote, UK-based

We are working with a specialist Data Science consultancy that is looking for a Data Scientist to join a major engagement with a global FMCG business.

The role will focus on distribution and operations, using Data Science to improve areas such as logistics performance, forecasting, territory planning and operational decision-making.

This is a strong opportunity for a Data Scientist with three or more years of experience who has built solid technical foundations and is ready to take greater ownership of their work. You do not need to be the finished article, but you must be able to work independently, communicate confidently and apply Data Science to genuine business problems.

Working pattern

The role will be completed remotely from the UK. However, the end client’s main stakeholders are based on the US West Coast.

Candidates must be comfortable adjusting their working hours and remaining available until approximately 7pm UK time. This will provide at least two hours of daily overlap with the US team.

The company

The consultancy specialises in solving complex commercial problems through Data Science and advanced analytics.

You will join a small, experienced delivery team supporting an established global consumer goods business. The working environment is collaborative and fast-moving, with the opportunity to contribute to how analytical models, processes and products are developed.

The consultancy places significant value on attitude and personality. They are looking for someone who is approachable, proactive and able to build trusted relationships with technical and non-technical stakeholders.

The role

You will work across the full analytical lifecycle, including:

• Working with stakeholders across Sales, Operations and Distribution to understand their challenges.

• Turning loosely defined business problems into clear analytical plans.

• Identifying, acquiring and assessing the quality of relevant data.

• Using Python, SQL and Snowflake to explore and structure large datasets.

• Building forecasting, classification, clustering, regression and optimisation models.

• Developing repeatable analytical models and pipelines rather than one-off analyses.

• Applying experimentation and causal inference methods to measure the impact of business decisions.

• Connecting analytical outputs to measurable operational and commercial outcomes.

• Presenting findings and recommendations clearly to non-technical stakeholders.

• Managing your own work and providing proactive updates on progress, risks and dependencies.

• Using tools such as Claude Code, Cursor or GitHub Copilot within a structured development workflow.

• Contributing to daily stand-ups, planning sessions, technical discussions and peer reviews.

This is not a pure modelling position. You will be expected to understand the business problem behind the analysis and explain how your work should influence real decisions.

Your skills and experience

The successful candidate will have:

• Three or more years of commercial Data Science or applied analytics experience.

• Strong Python skills, including pandas, scikit-learn and common Data Science libraries.

• Advanced SQL skills and experience working with large or varied datasets.

• Commercial experience using Snowflake.

• A good grounding in statistics, machine learning and model validation.

• Experience applying forecasting, classification, clustering, regression or optimisation in a business environment.

• Experience handling messy real-world data and making sensible decisions around data quality.

• Practical experience using AI-assisted development tools such as Claude Code, Cursor, GitHub Copilot or similar.

• Experience within FMCG, consumer goods, retail, logistics, distribution or supply chain.

• Strong communication and stakeholder-management skills.

• The ability to take ownership of a problem and deliver with limited supervision.

• A personable, positive and collaborative working style.

• Availability to work until approximately 7pm UK time.

Desirable experience

Experience in any of the following areas would be beneficial:

• Distribution or logistics analytics.

• Direct Store Delivery or route-to-market operations.

• Time-series forecasting.

• Mathematical optimisation or operations research.

• Vehicle routing or territory planning.

• Geospatial analytics.

• Google OR-Tools, Gurobi or SciPy.

• Streamlit, Shiny for Python or similar analytical applications.

• Consulting or embedded client delivery.

Contract details

• £400 per day.

• Outside IR35.

• Initial six-month contract.

• Remote working from the UK.

• Later working hours, with availability required until approximately 7pm UK time.

• Two-stage interview process.

How to apply

Please apply with an up-to-date CV highlighting your experience with Python, SQL, Snowflake and applied Data Science within an operational, retail, FMCG, logistics or supply-chain environment.

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