trainee data scientist jobs in Merseyside

Job Description Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for an expert Mathematician (part-time work from home) to help advance AI development. As a member of DataAnnotation’s Math team, you’ll be part of a growing community of over 100,000 experts who are...

Manpower are currently seeking an interim Product Performance and Data Scientist to work with our global FMCG client Unilever, renowned for brands such as Dove, Sure, Persil, and Simple, and become an integral part of their fast-paced FMCG environment. Make sure to read the full description below, and please apply immediately if you are confident you meet all the requirements.The position is...

You will work on real production problems rather than research-only work, owning models from first iteration through to live deployment.

You will collaborate closely with other data scientists, data engineers, and DevOps, with the freedom to shape how GenAI and ML are used across the platform.

You will contribute to a growing digital/data science community within the plant, collaborate across Ford’s central analytics network, and help scale successful solutions enterprise-wide.

You will be part of the plant manufacturing team and part of the wider data science pillar in Ford.

You will design, develop, and maintain a portfolio of data-driven products and projects that turn complex manufacturing data into clear, actionable insights for operators, engineers, and leadership.

You will work across a variety of complex analytical problems, owning experimentation end-to-end—even when ideal conditions such as user randomisation or high statistical power are not present.

You will be able to develop the prototypes of the models, and do some feature engineering. The environment looks a bit like this 👇 👉 Python (pandas, numpy, scipy, PySpark)

You will utilize your technical skills in Python and SQL to develop models that inform media strategies. The company offers a flexible working environment and a commitment to self-development, enabling you to grow while making a significant impact on business decisions.

A leading retail company in Liverpool seeks a skilled Data Scientist to transform complex data into actionable insights. The successful candidate will collect and analyze data, build predictive models, and collaborate with various teams to drive data-driven decisions. Candidates should possess strong skills in Python or R, SQL, and have experience with machine learning techniques. Alongside...

You must have the Right to Work in the UK.

You will drive technical design, development and documentation of cross-functional and multi-platform capabilities.

You will work in collaboration with data platform engineers, algorithm developers and clinical experts to focus on key metrics for diabetic patients and clinicians.

You will lead the ideation, research, modeling, and implementation of new AI-driven features — with a strong focus on Large Language Models (LLMs), Generative AI, and advanced Machine Learning.

You will also contribute to the company’s long-term AI strategy and act as a thought leader and role model within the data science teams.

Data Scientist - £70k | Remote / Hybrid | FinTech / Payments We're working with an established FinTech / Payments business that has been helping customers manage and move money globally for many years. The company builds technology-led products that support low-cost, multi-currency payments and money management, operating across several regulated markets. They're now investing further in their...

Lead Data Scientist (L3RPEY-EE99B2CA) London, England Salary: GBP70000 - GBP100000 per annum Lead Data Scientist - Adtech Business I am recruiting for a Lead Data Scientist to drive innovation in machine learning and data-driven solutions, particularly within AdTech. This fully remote role is ideal for someone passionate about optimising algorithms, building scalable models, and solving...

You will design, develop, and maintain a portfolio of data-driven products and projects that turn complex manufacturing data into clear, actionable insights for operators, engineers, and leadership.

A technology firm in Edinburgh is looking for a Data Scientist intern to work on advanced AI training projects. Responsibilities include designing complex data science challenges, creating rigorous technical solutions, and auditing AI-generated code for accuracy. Ideal candidates will have a Masters or PhD in a quantitative field and strong skills in supervised and unsupervised learning, deep...

You will help set the direction for AI and data science across the business, driving the adoption of modern AI development practices and scalable, cloud-native architectures at enterprise scale.

You will provide technical and thought leadership, engaging with C-level and senior stakeholders to define architectural principles and strategic direction.

You will operate as a senior individual contributor, with end-to-end ownership of data-driven research systems that directly inform research and decision-making.

Brief Description The Principal, AI Data Scientist will be responsible for supporting the implementation of innovative, complex and transformative AI/ML/GenAI solutions across the areas of Clinical Trial Execution and Digital Healthcare across Jazz Research and Development. Essential Functions - Support the development and implementation of AI/ML/GenAI solutions to optimize clinical trial...

About Matalan From humble beginnings to disruptive innovations in the retail industry, find out about how Matalan is ever-evolving here. We know as a team, we are stronger together - we champion equality for all and make lasting connections that go beyond work. We thrive off our inclusive culture, encouraging our colleagues to bring their true selves to work and contributing to collective...

You will also be tasked to improve the analysis and visualisation of data as well as determine improvements to the efficiency and effectiveness of the Hair Category capability through the optimisation of instrumentation, methods and data handling processes, and the building of links between objective measures of performance and consumer perception.