5 of 5 Lead Data Scientist Jobs in Edinburgh

Lead Data Scientist Department: Technology Employment Type: Full Time Location: Edinburgh, Scotland Compensation: GBP 80,000 - GBP 100,000/year Description We have an exciting opportunity for an experienced Lead Data Scientist to join our business as we continue to scale. The Lead Data Scientist will drive the development of predictive models and data-driven decision-making for energy technology applications. They will play a key role in analysing system performance, optimizing operations, and integrating machine learning techniques into energy balancing strategies. Who we are Energy is the primary … ll spend your time: Building and deploying machine learning models for energy forecasting and system optimization Working closely with engineers and mathematicians to validate data-driven models Designing and implementing real-time analytics for monitoring grid stability Developing algorithms for energy market interactions, including bidding strategies Ensuring data More ❯

Lead Data Scientist – Fully Remote Up to £90,000 + Package AI Connect have been retained by an award-winning international Data & AI consultancy to help them hire a Lead Data Scientist. Key Responsibilities: Displaying technical excellence and delivering projects expertly for clients Team More ❯

Lead Data Scientist – Fully Remote Up to £90,000 + Package AI Connect have been retained by an award-winning international Data & AI consultancy to help them hire a Lead Data Scientist. Key Responsibilities: Displaying technical excellence and delivering projects expertly for clients Team More ❯

putting customers at the heart of everything we do. Having completed our recent multi-year digital transformation, we’re now leveraging advanced technology and data-driven insights alongside exceptional service, to deliver personalised experiences that meet our customers ever-changing needs today and in the future. Job Description We … are currently recruiting for a Lead Data Scientist to join our award winning, and innovative Data Science team. This is a phenomenal opportunity for someone to Improve company profitability by optimising pricing for Motor and Home products across all brands and channels. Leverage new predictive sources … of data and advanced modeling techniques to improve competitiveness and expand underwriting capabilities. What you’ll do: Lead and develop a data science team to deliver value-adding projects. Foster team growth and prepare members for career advancement. Analyse company performance metrics to guide and interpret models. More ❯

Lead Data Scientist Division – Data, Technology and Innovation Department - The Advanced Analytics and Data Science Units Salary – National (Edinburgh and Leeds) ranging from £59,100 to £80,233 and London from £64,900 to £88,100 (salary offered will be based on skills and experience … ensure our financial markets are honest, fair and competitive. Follow this link to find out more About the FCA . The Advanced Analytics and Data Science Units (AA&DSUs) is a department within the Intelligence & Digital (I&D) division of Data, Technology & Innovation (DTI). Our mission in … I&D is to drive digital innovation and deliver data solutions that benefit our colleagues, consumers, firms and markets. You will sit within the Consumer Data Science Unit (CDSU), one of 4 data science units in the department. We primarily help the FCA better understand issues with More ❯

efficiency to make our business better and to help clients realize the objectives they desire. At BlackRock, there is a rich problem space for data scientists and engineers across all areas of the business including investments, sales, marketing, operations, product, UX, etc. and the potential to have large scale … impact. In 2018, BlackRock accelerated innovation and technology again with additional investment in artificial intelligence and data science and all the potential they represent. AI Labs was formed to act as a central hub with a firm-wide remit to solve strategic business challenges for the firm by bringing … to bear our expertise in data science, machine learning, generative AI, optimization, stochastic control and statistics. Our mission is to combine human and machine intelligence to revolutionize asset management. The team is led by Dr. Rachel Schutt. We are a hybrid research and product team and have a responsibility More ❯