7 of 7 Permanent Data Scientist Jobs in Nottingham

Data Scientist – Applied ML in Production 📍 Nottingham (Hybrid – 2 days onsite) Join a fast-growing AI company delivering high-impact ML solutions for major UK brands. We’re looking for a technically strong Data Scientist with hands-on experience deploying models in production and a solid … quantitative background. The Role Work end-to-end on applied ML problems, from data exploration and modelling to production deployment and post-launch analysis. Build models that ship and shape real user outcomes. You’ll: Analyse and model large-scale behavioural and time-series data Build, validate ...

Lead Data Scientist (remote) Search, Ranking, Retrieval and LLM Modelling Early Stage AI Company We are working with a fast growing early stage company that is building a new intelligence layer for the next era of product discovery. With AI assistants becoming the first place consumers turn … search environments. This is exactly what this company solves. They already partner with global consumer brands and now want to hire a Lead Data Scientist to architect and own the modelling engine that powers the platform. This is a hands-on role with serious technical ownership. You will ...

refer candidates to Mercor that collaborates with world's leading AI research labs to build and train cutting-edge AI models. Organization: Mercor Position: Data Scientist Referral partner: Crossing Hurdles Type: Hourly Contract Compensation: $60-$100/hour Location: Remote Duration: Approximately 2 months (extension feasible) Commitment … hours per week, fully asynchronous Role Responsibilities Focus on hands‐on data science tasks, such as designing experiments Gathering and pre-processing data Building and evaluating models, and collaborating closely with engineering teams to deploy production‐ready solutions Ensure output consistency and quality through collaboration with peers ...

need to be a designer or have any design talent, you just need to want to build cool things! Own projects, data models, dashboards, and other artefacts and keep them up-to-date and high quality in a hypergrowth environment. Use our giant databases to answer the sort … questions that sound really simple but turn out to be challenging (and fun!). Help us extend data literacy and curiosity throughout the whole company. You're probably a match if You have strong competency with SQL. Experience with data warehouses such as Snowflake, Redshift, or BigQuery ...

mark? Join us and be part of something bigger. Job Profile Description Kainos is recognised as one of the UK's leading AI and data businesses, with a decade-long track record of delivering impactful, production-grade AI solutions for clients across government, healthcare, defence, and commercial sectors. Kainos … forefront of AI innovation, trusted by Microsoft, AWS, and others to deliver advanced AI and data solutions at citizen scale. Our 150-strong AI and Data Practice brings together deep expertise in machine learning, generative AI, agentic AI and data. We are pioneers in responsible AI, having authored ...

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 . From spotting opportunities to deploying models that stick, you’ll need to roll up your sleeves, partner with business … advanced predictive modelling or end-to-end ownership of said models. We’re specifically looking for someone experienced with the f ull lifecycle of data science projects and advanced modelling (ML/AI) - not just analysis, dashboards, or oversight. This is about leading your own projects, driving outcomes ...

Mercor that collaborates with the world's leading AI research labs to build and train cutting-edge AI models. Organization: Mercor Position: Applied Data Scientist Referral Partner: Crossing Hurdles Type: Hourly contract Compensation: $75–$100 per hour Location: Remote Commitment: 10–40 hours/week, flexible and asynchronous … Duration: Flexible Role Responsibilities: Translate business questions into data science problems and analytical workflows. Conduct data wrangling, exploratory analysis, and hypothesis testing. Develop statistical models and predictive tools for decision support. Create compelling data visualizations and dashboards for business users. Present findings and recommendations to non-technical ...