Data Scientist jobs in West Yorkshire

You will join a dedicated and collaborative team at the centre of one of DWP's highest priority initiatives: the Health Transformation Programme. This position places you at the forefront of redesigning key health related services, working with some of the largest and most complex datasets available in the UK to generate high quality insights that improve outcomes for thousands of people.

You will bridge the gap between complex data and commercial strategy, working directly with external stakeholders (OTAs, event platforms, hospitality providers) and internal partnership managers.

You will build scalable solutions, drive A/B testing, and deploy web applications that empower non-technical teams to make data-driven decisions.

Data Scientist I Leeds, Hybrid I £40,000-£50,000 + Bonus About Us Impactive are exclusively partnered with a Leeds-based Data & AI consultancy that turns messy, complex data into decisions people can actually use. They’re expanding their team and are hiring a mid-level Data Scientist, based in Leeds City Centre with a hybrid setup (2 days per week in-office). Their work sits at the...

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 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.

Data Scientist I Leeds, Hybrid I £40,000-£50,000 + Bonus Impactive are exclusively partnered with a Leeds-based Data & AI consultancy that turns messy, complex data into decisions people can actually use. They’re expanding their team and are hiring a mid-level Data Scientist, based in Leeds City Centre with a hybrid setup (2 days per week in-office). Their work sits at the intersection of data...

Working at CreateFuture CreateFuture is an AI-native consulting partner where people do work that matters and are supported to do it well. We work alongside organisations such as PayPal, adidas, NatWest FanDuel and Money Saving Expert, building digital products and services that make a difference while always putting people first. We're a team of creators. We write code, shape delivery, build...

Job Title: Data Scientist – Advanced Analytics Division: Data, Technology and Innovation Department : Advanced Analytics & Data Science Units Salary: National (Edinburgh and Leeds) ranging from £52,400 to £71,200 and London from £57,700 to £78,300 (salary offered will be based on skills and experience) This role is graded as: Senior Associate - Regulatory Your recruitment contact is Benjamin...

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.

A leading regulatory body in Leeds is seeking a Data Scientist in Advanced Analytics to drive innovation through insightful data projects. This role offers a salary range from £52,400 to £71,200 and requires proficiency in data science techniques, machine learning, and strong communication skills. Candidates should have experience using Python or R for data analysis and visualization. The...

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.

You will bridge the gap between complex data and commercial strategy, working directly with external stakeholders (OTAs, event platforms, hospitality providers) and internal partnership managers.

You will build scalable solutions, drive A/B testing, and deploy web applications that empower non-technical teams to make data-driven decisions.

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.

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 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.