statistic research scientist jobs in Hull

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 have built an optimization model using MILPs, heuristics, decomposition, or other methods (big focus on linear optimization, not so much on non-linear). In terms of skills you should have strong working experience with optimization solvers (e.g. Gurobi, Cplex, FICO Xpress optimization or other).

Machine Learning Engineer - Contract (Financial Services, Outside IR35) Duration: 6 months Rate: £650 - £750 per day IR35: Outside Location: UK / Remote We're seeking an experienced Machine Learning Engineer to support a Financial Services organisation on an initial 6-month contract, working on production-grade ML systems that operate in regulated, high-volume environments. This role is...

Global University Systems is building a modern AI platform to power how our universities recruit, teach, support, and serve students. The Director of AI will lead this transformation, turning promising ideas into production-grade AI solutions that create real value for students and staff. All potential applicants are encouraged to scroll through and read the complete job description before...

You will design and deliver intelligent agentic workflows, leveraging frontier LLMs. Working with their data scientists and backend engineers, you'll be responsible for making unstructured legal data usable, scalable, and impactful. This is not a prototyping role — you'll ship well-engineered, production-ready systems that directly impact customers.

You will support the assessment and development of new technologies emerging from defence and security research. Working alongside experienced colleagues, you'll help evaluate market opportunities, prepare commercial documentation and support licensing and early spin-out activities.

Contract MLOps Engineer | MLflow | Databricks | Production ML Duration: Initially 3 months Day rate: £500 - £550, Inside IR35 Workplace: Remote, with occasional travel to client-site Inara are supporting a consultancy-led team delivering production-grade machine learning platforms for a range of end clients, and they're looking for a senior, hands-on Contract MLOps Engineer to help take ML...

You will have the opportunity to: - Bring experience in sales, business development, health, coaching or leadership — or simply be willing to learn - Recommend pharma-grade, science-backed products - Earn commission + global income streams through product referrals & international team building

You will also have the reassurance of a job guarantee within 20 miles of your location upon completion.

You will begin your data science journey by studying a selection of industry-recognized courses that will take you from beginner level all the way through to being qualified to work in a junior Data Scientist role.

Castlefield are working with a public sector organisation to recruit a Data Intelligence Lead. The role is onsite and based in Yorkshire. Responsibilities To provide operational leadership on Adult Skills Fund intelligence; using initiative to develop, manage and maintain ASF intelligence to ensure work is relevant, timely and fit for purpose. The scoping, development, design and adaptation of...

You will also have access to our Research and Development Academy, designed to develop our team and allow you to grow in our great organisation.

You will be rewarded in line with Reckitt's pay for performance philosophy.

You will also have access to our Research and Development Academy, designed to develop our team and allow you to grow in our great organisation.

You will be rewarded in line with Reckitt's pay for performance philosophy.

You will have built an optimization model using MILPs, heuristics, decomposition, or other methods (big focus on linear optimization, not so much on non-linear).

Machine Learning Engineer - Contract (Financial Services, Outside IR35) Read on to fully understand what this job requires in terms of skills and experience If you are a good match, make an application. Duration: 6 months Rate: £650 - £750 per day IR35: Outside Location: UK / Remote We're seeking an experienced Machine Learning Engineer to support a Financial Services organisation on an...

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 also have access to our Research and Development Academy, designed to develop our team and allow you to grow in our great organisation.

You will undertake a 2-year placement initially, then rotate into different R&D teams in years 3 and 4; completing a total of 3 different rotations across R&D

You will also have access to our Research and Development Academy, designed to develop our team and allow you to grow in our great organisation.

You will deliver measurable improvements in compliance, accelerate speed-to-market, and enhance innovation throughput.

You will drive the enterprise business integration, business processes, and data governance to support Reckitt’s future ways of working.

You will also have access to our Research and Development Academy, designed to develop our team and allow you to grow in our great organisation.

You will deliver an enduring positive change in the way in which Core Reckitt develops and delivers new products to the market and manages product changes thereafter.

You will also have access to our Research and Development Academy, designed to develop our team and allow you to grow in our great organisation.

You will be part of a core PLM team that will define the overall Blueprint for Product Lifecycle Management and its subsequent implementation in the PLM solution.