8 of 8 Data Science Jobs in Mansfield

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 ❯

Data Protection Manager In the role of Data Protection Manager, you will be highly organised, have a proven track record, and demonstrate excellent technical knowledge and communication skills. You will support the on-going development and monitoring of Information Governance processes to meet the current and future requirements. You will be expected to work collaboratively to embed data … growth. Every day will be different and together we will strive for excellence never forgetting our mission to make healthcare better. This role will report to the Head of Data Protection and DPO. To be considered for the the role you will require the following: Essential Criteria; EDUCATION, QUALIFICATION AND TRAINING Relevant degree (e.g. Information Technology, Data Protection … Data Science, Law, or Business Administration Degree) or equivalent professional experience. EXPERIENCE At least 5-6 years of experience in data protection, privacy, or AI governance roles Experience in conducting TPRAs, DPIAs, AI privacy risk and TRAs Experience in managing SARs Experience of working with the Data Security & Protection Toolkit (DSPT) Experience in managing data 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 ❯

Engineering Analyst, Data Analyst, Data Scientist, Mechanical engineering, Structural Condition Monitoring, Python, SCADA, Git - East Midlands, Hybrid working - up to 50K About the opportunity Are you an engineer with a passion for data-driven problem solving and structural analysis? I'm working with an innovative company at the forefront of condition monitoring technology. They're looking for … 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 you will be doing: Developing … 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 ❯

AI/Data Science Engineer | AI & Advanced Analytics | Nottingham (Hybrid) About Want to code for impact? This early-stage AI and analytics company is building intelligent systems that help businesses uncover the true value of their data - and they’re looking for engineers who thrive on solving complex problems and creating real-world change. Their team of … to engineers across all OOP backgrounds (Python is the core language). 📍 Nottingham | Hybrid (2–3 days/week) If you’re ready to build AI systems that make data truly work for people — apply now 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 ❯

help design, build, and scale intelligent systems that make a genuine difference across healthcare, mobility, and retail. You’ll work across the full machine learning lifecycle, from experimentation and data pipelines through to deployment and monitoring. This role is ideal for someone who wants to take cutting-edge ML research and turn it into production systems that reach millions … of users. Key Responsibilities: Design, build, and optimise ML models for large-scale behavioural and temporal datasets Develop and maintain scalable, cloud-based data and model pipelines Deploy, monitor, and improve production ML systems (forecasting, classification, behavioural modelling) Collaborate with data scientists, software engineers, and product teams to deliver scalable, explainable AI solutions Contribute to MLOps best practices … experimentation frameworks, and model governance What They’re Looking For: Strong academic background in Computer Science, Machine Learning, or a related field (Master’s or PhD preferred) Proven experience developing and deploying ML models in real-world applications Solid coding and data skills (Python, SQL, Databricks, cloud platforms) Deep understanding of the full ML lifecycle and productionisation of More ❯