6 of 6 Permanent Data Scientist Jobs in Nottingham

Engineering Data Scientist, Mechanical Engineering Analyst, Data Analyst, Data Scientist, Mechanical Engineering, Structural Condition Monitoring, Python, SCADA, Git - East Midlands, Hybrid working - up to 50K About the opportunity - Data Scientist Are you an engineer with a passion for data-driven problem solving and structural analysis? I'm working with an innovative company … and help develop cutting-edge analytics that improve the safety and efficiency of complex engineering systems. This is a fantastic opportunity to work at the intersection of mechanical engineering, data science, and software development – transforming complex performance data into scalable, real-world solutions that make a genuine impact. As an Engineering Analyst/Data Scientist you … implementing analytical models to monitor structural health, performance, and loads Analysing large datasets from sensors, simulations, and operational logs to uncover valuable engineering insights Translating core engineering principles into data-driven algorithms and analytical tools Collaborating with product, analytics, and software teams to ensure seamless platform integration Training and validating models using both experimental and real-world operational data More ❯

Lead Data Scientist * Based in Nottingham * 4 days a week onsite * Pay £75,000 depending on experience Our client is a fast-growing financial services organisation seeking a Lead Data Scientist to join their data and analytics team. This is a hands-on role focused on developing predictive models, deploying autonomous decisioning frameworks, and driving … innovation across the customer lifecycle. The successful candidate will work closely with cross-functional teams to deliver data-driven solutions in fraud prevention, marketing, credit risk, and customer management. This is an exciting opportunity for a commercially experienced data scientist to take ownership of key initiatives and shape the future of data science within a forward … actionable insights through structured analysis and clear communication. * Identify opportunities for process improvement and innovation using data. Key Skills and Experience: * 5+ years of experience delivering end-to-end data science solutions in a commercial setting. * Strong technical expertise in machine learning, predictive modelling, and AI. * Proficient in Python, R, SQL, and familiar with Power BI or similar visualisation More ❯

Data Scientist (Fintech, Nottingham) Location: Nottingham (4 days per week in office) Salary: £55,000 - £65,000 (DOE) Client: High-growth Fintech The Role You’ll be joining a lean, high-performing data science team of three, in a Fintech that’s making serious moves in financial services. This role is about end-to-end ownership . … impact - you’ve taken models into production and seen them deliver real results. Autonomous leadership - confident owning projects, engaging stakeholders, and holding yourself accountable. Technical credibility - strong hands-on data science capability (R, Python, or similar). What matters is outcomes, not syntax. Commercial mindset - able to translate technical solutions into business impact, spotting opportunities others might miss. Energy … in layers of hierarchy A direct line to senior leadership and real influence over business decisions The chance to work with sharp, passionate people solving real-world problems with data This role is four days a week in the Nottingham office . No hiding behind Zoom - you’ll be embedded in the business, collaborating face-to-face, and influencing 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 … 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 and … 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, SQL More ❯

Data Scientist/AI Engineer Nottingham-based (2 days a week) £60K We are working with a AI start up who transform leading research into AI technologies, solving meaningful problems for clients in the retail and healthcare sectors. What We Do Retail: Promotions, pricing, and forecasting - building scalable AI systems to automate and optimise decision-making. Healthcare: Research … systems for retail clients and are now focusing on making these solutions repeatable and deployable across industries. Essential Skills Strong programming skills in Python Solid understanding of SQL and data manipulation Background in Mathematics, Statistics, or Computer Science (MSc or PhD preferred) Experience building or deploying machine learning models Ability to work in a fast-paced, collaborative startup environment More ❯

About this role Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group who use our expertise to derive insights from complex data, working in close collaboration with our business partners. This role will primarily focus on … feature engineering and insight generation from new types of data and the development of machine learning models to address critical business challenges in underwriting. What you'll do Develop and maintain the machine learning models which define our competitive advantage in the financial services market. Explore and evaluate data, using advanced feature generation and categorisation techniques, in order … to stay at the forefront of innovation. Analyse tabular and non-tabular data, such as text, logs, or time series, to produce powerful new insights. Consult on complex statistical test design, to efficiently learn our way into new areas of the market. Use a combination of business acumen, coding and statistical skills to navigate large amounts of data More ❯