12 of 12 Permanent Data Science Jobs in Nottinghamshire

Artificial Intelligence is used in every industry and as artificial intelligence requires data to operate there is now a massive growing demand for Data experts. If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future within Data Science. We use our specialised Data Science Career programme which looks to assist, train and place qualified candidates into a career pathway in Data Science. Our career program is designed for entry level individuals with limited or no experience. Please do not apply if you are already an experienced Data Analyst as we will be looking primarily at entry level roles. Demand … for candidates who are experts in working with Data and AI has grown 20% year on year with salaries of £50k+. Business decisions rely on data to ensure correct business decisions are made and the role of the data analyst in the new digital world is now essential for business owners. Current average salaries in the sector More ❯

Lead Data Scientist - Financial Services * Based in Nottingham (4 days onsite) * Pay up to £75,000 * Permanent, Full-Time Our client is a fast-growing financial services organisation looking for a Lead Data Scientist to drive innovation across the customer lifecycle. This is a hands-on, commercially focused role where you'll develop predictive models, deploy autonomous decisioning … and deliver actionable insights across fraud, marketing, credit risk, and customer management. You'll work closely with cross-functional teams and have the opportunity to shape the future of data science within a dynamic, forward-thinking environment. Key Responsibilities: Own the development and deployment of predictive models to improve customer outcomes. Lead autonomous decisioning initiatives, including model implementation … Deliver insights through structured analysis and clear communication. Identify opportunities for innovation and process improvement using data. Key Skills and Experience: 5+ years of experience delivering end-to-end data science solutions in a commercial setting. Proven ability to lead projects independently and drive results. Strong expertise in machine learning, predictive modelling, and AI. Proficient in Python, R More ❯

We are looking for a Senior Data Analyst to join our Credit Risk Portfolio Management team - a key function responsible for understanding and forecasting the financial health of the customer base. The role requires the use of advanced analytics to provide deep insights into credit risk and performance to inform our risk management strategy. This role is ideal for … Finance to develop and maintain debt forecasts to track performance vs. plan, forecast risk and deep dive into the drivers of variations to plan Developing scenario models to enable data-based decisioning within operational and strategic planning cycles Staying up to date with emerging analytical techniques and technologies, partnering with Data Science to deliver advanced segmentation and … behavioural analysis Delivering and consulting on the advanced analytics required to support project delivery across the wider Credit Management function e.g. simulation models, data pipeline mock ups, statistically robust testing Translating analytical outputs into clear recommendations for business stakeholders, influencing decisions across debt prevention and collections strategy Liaising with Data Engineers to drive enhancements to data quality More ❯

business for a Senior Machine Learning Pricing Analyst to join a thriving team. You will use machine learning and AI-driven analytics through Snowflake to analyse sales and pricing data, and identify lost customer opportunities, and develop strategies to increase sales and profitability. This role combines data science and commercial analysis to assist the business to drive … growth and profitability. Key Areas of the Role: Analyse sales and customer data to identify commercial patterns. Develop and maintain AI/ML models (via Snowflake) that predict customer conversion success. Collaborate with sales, pricing, and commercial teams to develop data-informed pricing strategies. Identify customer segments or pricing bands where win rates are below expectations and propose … improvements. Visualise data and findings through clear dashboards via Power BI and/or Tableau. Present insights and recommendations to senior leadership with a commercial focus. Continuously evaluate and improve analytical methods using the latest AI and data science tools. The ideal candidate will have hands-on experience applying and deploying machine learning and AI tools like More ❯

Senior Data Scientist - Financial Services * Based in Nottingham (4 days onsite) * Permanent, Full-Time * Salary: up to £75,000 (depending on experience) A fast-growing financial services organisation is seeking a Senior Data Scientist to help drive innovation across the customer lifecycle. This is a hands-on, commercially focused role where you'll build and improve predictive models … customer management. You'll join a collaborative team and work closely with cross-functional squads, contributing to impactful projects while developing your skills in machine learning, experimentation, and modern data tooling. Key Responsibilities: Model development & improvement : Build, validate and maintain predictive models (e.g., credit risk, fraud, marketing response, collections) with guidance from senior teammates. Decisioning support : Translate models into … through clear documentation, model outputs, and policy/testing setups. Experimentation : Design and analyse A/B and champion-challenger tests; deliver insights with clear visuals and concise narratives. Data exploration & analysis : Perform exploratory analyses to identify opportunities and support business roadmaps. Collaboration & learning : Work in cross-functional squads, share findings with technical and non-technical audiences, and grow More ❯

role defines the roadmap and execution for Clean Core AI, AI-enabled transformation tooling, and embedded intelligence services across the LCP ecosystem. You will work cross-functionally with engineering, data science, SAP solution teams, and customer success to deliver AI-driven features that enhance automation, insight, and decision-making across SAP landscapes. This role blends strategic product ownership … and AI Tech Lead to manage delivery through sprints Run backlog grooming, sprint planning, and review sessions Monitor progress, remove blockers, and ensure consistent, high-quality delivery Ensure product data and dashboards reflect real-time progress and value delivered Stakeholder Engagement & Communication Act as the single point of accountability for the LCP AI product domain Communicate roadmap, progress, and … management or solution ownership in enterprise software Deep familiarity with SAP ecosystem (ECC, S/4HANA, BTP) and cloud infrastructure (AWS, Azure, GCP) Hands-on experience with AI or data-driven products, ideally integrated with SAP or enterprise platforms Strong ability to bridge business and technical domains — from strategy through delivery Proven ability to work across seniority levels, from More ❯

Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer. More ❯

Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer. More ❯

Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer. More ❯

Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer. More ❯

constructive feedback on model and other outputs Comparative Analysis: Compare multiple outputs and rank them based on criteria such as correctness, efficiency, readability, and adherence to programming best practices. Data Validation: Validate and correct datasets to ensure high-quality data for model training and evaluation. Collaboration: Work closely with data scientists and engineers to identify new annotation … guidelines, resolve ambiguities, and contribute to the overall project strategy. Qualifications: Strong background in software engineering/development, computer science, ML/AI, or related technical field, with a keen eye for detail and a passion for data accuracy Programming Proficiency: Demonstrated expertise in: Python (must-have) and at least one or more common programming languages such as More ❯

launch a future-proof career in AI - even if you have zero experience? We’re looking for ambitious individuals ready to break into the world of artificial intelligence and data science. Our industry-leading AI Traineeship is designed to take you from complete beginner to a highly employable Junior AI Engineer, with full training provided and a guaranteed job … and quizzes - all accessible anytime, anywhere, through our easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build confidence and a More ❯