8 of 8 Data Scientist Jobs in Leeds

RISK DATA SCIENTIST (ESG & Supply Chain) £70,000 + BENEFITS PRIMARILY REMOTE Make a real-world impact in an industry that needs smarter, more sustainable solutions. This role would suit someone who enjoys end-to-end ownership, communicating with non-technical stakeholders, and building models from scratch using Python and SQL. THE COMPANY: I'm working with construction … risk, and sustainability. This is a hands-on, high-impact role where you'd work closely with a small, collaborative product team-shaping how financial, ESG, and supply chain data is turned into actionable insights. THE ROLE: This client are hiring a Risk Data Scientist to take full ownership of modelling efforts across their core risk platform. … A Data Scientist (Risk) will need to: Take end-to-end ownership of risk modelling across financial, ESG, and supply chain data Design and implement models from scratch using Python and SQL Collaborate closely with the cross-functional product team Contribute to GenAI-powered reporting tools YOUR SKILLS AND EXPERIENCE: A successful Data Scientist will More ❯

Data Scientist – Quantitative Hybrid (1 - 3 days in Leeds office, rest at home) | Full-time | Permanent Salary: £50-60k + excellent benefits An exciting opportunity has opened up at a fast-growing insight and strategy consultancy for an experienced Data Scientist to lead the development of their in-house data science capabilities. This is … strategists, and analysts – all passionate about delivering actionable insight and tackling complex questions. The consultancy is known for its bespoke, high-quality approach and is now expanding into deeper data-led offerings. The Role This is a hands-on, strategic position reporting into a senior leader within the Quant team. You'll work across a mix of project delivery … innovation, and team development – helping shape everything from statistical capability to the company’s broader data vision. You’ll work on: Advanced analytics projects (segmentation, conjoint, MaxDiff, KDA, etc.) Processing large, complex datasets (e.g. transactional data, 1st-party data, behavioural) Developing infrastructure and tooling for scalable analysis Expanding the use of AI, synthetic data and machine More ❯

We are looking for an experienced and talented Data Scientist to join MTM. This is a brand new, pivotal role within the company, offering the unique opportunity to establish and shape MTM's in-house data science capabilities from the ground up. You will be instrumental in integrating diverse data sources into our insights, driving innovation … the Quantitative team. Scope of responsibilities Project Operations Conduct advanced analytics on MTM projects, including segmentation, MaxDiff, Key Driver Analysis (KDA), and conjoint analysis, acting as a client-facing data science expert Review, recommend, and set up new data infrastructure to process and analyse large datasets (e.g., transactional databases, passive data) Test new tools and platforms to … ensure they are fit-for-purpose for advanced data analysis 2. Data Strategy and Innovation Broaden MTM's set of data sources currently used on projects Future proof MTM's proposition(s) by advancing our knowledge of AI/synthetic data/machine learning Partner with marketing to launch new data science-driven workstreams and More ❯

DATA SCIENTIST (FORECASTING) £70,000 + BENEFITS PRIMARILY REMOTE If you're are a highly educated individual (MSc, PhD) looking to work on meaningful data science problems in a remote, research-led environment, this could be a great fit. THE COMPANY: I'm working on a fantastic opportunity with a fast-growing SaaS company that's transforming … real commercial problems-everything from demand forecasting to booking behaviour clustering and light NLP use cases. THE ROLE: You'd join a high-calibre team in a full-stack data science role where you'll build and deploy models end-to-end, owning projects from experimentation to production. A Data Scientist (forecasting) will need to: Building and … deploying ML models (Python, Pandas, GCP) Forecasting revenue Exploring clustering techniques Applying NLP to classify ancillary bookings Collaborating with a small, high-calibre team of PhD-level Data Scientists, Engineers, and wider product team YOUR SKILLS AND EXPERIENCE: A successful Data Scientist will have the following skills and experience: MSc or PhD level of education Strong Python More ❯

Data Scientist 1 day a month in London (expensed) We are working with a networking organisation that specialises in financial services. They are looking to add their first Data Scientist to the team to lead on projects from start to finish. You will build a scoring model to match customers to the client and be able … to work closely with stakeholders. You will need: 3-5 years Data Science experience Python & SQL Predictive Modelling, Statistical Analysis experience Strong communication and stakeholder skills Have worked in a small organisation More ❯

Job Title: Data Scientist Job Type: Permanent Location: York or Manchester (UK) About the Role This role offers the opportunity to work across diverse business areas, building machine learning and statistical solutions that drive real business value. You'll join a cross-functional team of data scientists, engineers, and analysts using agile methods. As a Data Scientist, you will work closely with stakeholders to deliver models and insights related to pricing, decision-making, policy management, and more. You'll be expected to both build models and communicate their value clearly to the business. Key Responsibilities Apply the full data science lifecycle: from problem design to model deployment and monitoring. Build production-grade machine … learning models and manage their lifecycle (monitoring, retraining, etc.). Analyse diverse datasets (internal and 3rd party), applying statistical and machine learning methods. Collaborate with pricing teams, data engineers, and business units to deliver value. Write high-quality Python code following best practices. Continuously research and apply new tools, techniques, and technologies. Experience with: Cloud deployment,Neural networks and More ❯

you thrive on solving complex challenges, uncovering insights, and driving innovation with advanced analytics? If so, we could have the perfect opportunity for you! We're seeking an experienced Data Scientist to join our award-winning digital team at Stantec. You will be working alongside leading Analysts and Data Engineering experts to transform how we and our … from either our Edinburgh. Glasgow, Leeds, Manchester or Warrington offices, with hybrid working allowing for a mix of in-office and home working. What You'll Be Doing Leading Data Science Initiatives - apply your expertise in data modelling, cleansing, and analytics to create innovative solutions that drive digital transformation. Deriving Powerful Insights - use predictive analytics and optimization techniques … to help clients make smarter, data-driven decisions. Building Intelligent Tools - develop automated solutions that enhance efficiency and provide clear, actionable insights. Driving Digital Innovation - work with technology and data to shape digital solutions that transform industry processes. Client Collaboration & Technical Delivery - partner directly with clients in the water industry, understanding their needs, designing solutions, and delivering high More ❯

who is truly passionate about data. Someone who will work on a variety of projects, assisting the business to improve productivity, commercial optimisation and growth. Reporting to the Chief Data Officer you will join a busy, friendly and dynamic team using numbers and facts to make key recommendations, such as which business case to fund, which company we should … partnership/venture to progress. They are at the forefront of their industry, with an appetite for growth and innovation, constantly looking to do things better and faster, using data-driven decisions. You will make an impact and quickly see the results of your work. Responsibilities: Aid in the migration and analysis of data and the creation of … one, unified data set giving one point of truth Clear understand business requirements and propose/implement complete solutions Create easy to understand and clear data visualisations Creation and maintenance of machine learning models Create and undertake testing procedures/policies using test-driven development methodologies Query writing/building System contingency planning and implementations A mathematics/ More ❯