trainee data scientist jobs in Stockport

You will work on modernizing authentication and login experiences across multiple consumer applications, helping drive growth through high-quality user experience, experimentation, and data-driven decision making. This is a collaborative role, working closely with engineers, product managers, and cross-functional partners in a fast-paced environment.

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 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.

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...

You will design and build the systems that identify the signals that matter most for visibility, the retrieval and embedding architecture that feeds the models, the ranking and scoring framework that prioritises actions and the evaluation layer that measures how different LLMs behave across queries, surfaces and contexts.

Our client is an industry leading market-research company who use data-driven insights to provide unique and actionable data for some of the world's most recognised brands. Over the last 12 months they've experienced a period of rapid growth and they are positioned to continue this growth for the foreseeable future so it's an ideal time to join the team. They need a strong Data Scientist to...

Job Description Our client is an industry leading market-research company who use data-driven insights to provide unique and actionable data for some of the world's most recognised brands. Over the last 12 months they've experienced a period of rapid growth and they are positioned to continue this growth for the foreseeable future so it's an ideal time to join the team. They need a strong Data...

Job Description Job Title: Senior Data Scientist Pay of up to £75,493, plus 28.97% employer pension contributions, hybrid working, flexible hours, and great work life balance. A degree or higher in STEM ( Science, Technology, engineering, or mathematics) is essential for this role, and evidence of qualification will be requested. Are you ready to take on a leadership role where your data...

A leading football club in Manchester is looking for a Senior Football Data Scientist to enhance their data-driven strategies. The role involves developing predictive models and utilizing football data for recruitment and performance analysis. Ideal candidates will have significant experience in predictive modeling and a robust foundation in mathematics and statistics. The club promotes a...

Reports to: Technology Director / Executive Sponsor Location: Remote with occasional travel to London (2 times a month) Contract: Full-time, permanent Base Salary: £70,000 – £80,000 location and experience dependent + 10% company bonus scheme and sales commission scheme Why This Role Exists Serve Legal is entering a new chapter: evolving beyond compliance auditing into AI enabled,...

Overview At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting-edge AI models. We are seeking a Principal Clinical Scientist to bring senior-level expertise in clinical trial design and regulatory-grade data interpretation into AI-driven research workflows. In this role, you will help ensure that clinical data used to train and evaluate advanced AI...

You will drive solutions to improve supply chain efficiency and productivity. The ideal candidate will have 5+ years of experience and expertise in machine learning techniques. This role offers a hybrid work model, fostering a culture of continuous learning and innovation.

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 develop models that leverage football data for recruitment, performance analysis, and strategic decision-making. Applicants should have experience with predictive modeling and a strong background in mathematics and statistics. This role offers a supportive work environment and diversity-focused culture.

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...

Our client is an industry leading market-research company who use data-driven insights to provide unique and actionable data for some of the world's most recognised brands. They need a strong Data Scientist to design, develop and deploy systems to monitor data health. Design and implement monitoring and alerting systems to ensure the reliability and accuracy of key datasets and processes. •Build,...

A leading AI research organization is seeking a Principal Clinical Scientist to leverage senior expertise in clinical trial design and data interpretation in AI-driven research workflows. This remote role involves designing clinical protocols, interpreting trial results, and evaluating AI analyses to ensure regulatory compliance. The ideal candidate has significant experience with regulatory...

You will design and build the systems that identify the signals that matter most for visibility, the retrieval and embedding architecture that feeds the models, the ranking and scoring framework that prioritises actions and the evaluation layer that measures how different LLMs behave across queries, surfaces and contexts.

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 work on modernizing authentication and login experiences across multiple consumer applications, helping drive growth through high-quality user experience, experimentation, and data-driven decision making. This is a collaborative role, working closely with engineers, product managers, and cross-functional partners in a fast-paced environment.