11 of 11 Remote Senior Data Scientist Jobs in Scotland

demonstrating technology for insight and 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 … with a history of demonstrating machine learning at BlackRock to create alpha, the goal is to apply these same techniques throughout the business. The team has grown to 30+ data scientists and data engineers. Working collaboratively, the team is multi-disciplinary with the following skills and capabilities: machine learning, statistical modeling, signal detection, natural language processing, data More ❯

way the industry operates and 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. Shape the R&D strategy and modelling roadmap. Assist in acquiring vendor data and develop arguments. Provide expert mentorship for ongoing and new pricing activities. Design More ❯

Press Tab to Move to Skip to Content Link Select how often (in days) to receive an alert: Senior Data Scientist & Senior Data Analyst Location: Edinburgh, GB Company: Royal London Group Job Title: Senior Data Scientist & Senior Data Analyst Contract Type: Permanent Location: Edinburgh or Glasgow or Alderley Edge Hybrid … Working: 50% home, 50% office based Closing date: 1st July2025 Overview: We have a fantastic opportunity for two roles in our Group Data & AI Office at Royal London, Senior Data Scientist and Senior Data Analyst. The purpose of the roles is to identify, define, manage, and deliver analytics, data science and Machine Learning … projects to create insights, answer key business questions, solve business problems, and support decision making at all levels of the organisation. The Data Science and Data Analytics roles will be closely aligned and will work together on both the analytical and machine learning aspects of projects. The Data Science role will also be responsible for managing the More ❯

the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Summary Understand complex and critical business problems, formulate integrated analytical approaches to mine data sources, employ statistical methods and machine learning algorithms to help solve unmet medical needs, discover actionable insights, and automate processes to reduce effort and time for repeated use. Manage … the implementation and adherence to the data lifecycle of enterprise data—from acquisition or creation through enrichment, consumption, retention, and retirement—ensuring the availability of clean, accurate data throughout its useful lifecycle. Demonstrate high agility to work across various business domains. Integrate business presentations, visualization tools, and storytelling to translate findings into impactful insights for business users. … Independently manage budgets, ensure appropriate staffing, and coordinate projects within the area. If managing a team, empower team members, provide guidance and coaching, with initial supervision from senior leaders. This is typically the first managerial role. About the Role Our Development Team is guided by our purpose: to reimagine medicine to improve and extend people's lives. We are More ❯

capital held to protect solvency under adverse events, for example: The annual calibration of market and credit risks, as well as the dependency structure between risks, which includes collecting data, refreshing analyses, understanding changes, rationalising judgements and presenting conclusions and proposals to senior stakeholders. Undertaking ongoing development to the methodology and tools which underpin the calibrations. This involves … Ensure appropriate stakeholder management and governance. Key Knowledge, Skills & Experience Essential: Bachelor’s degree, Master’s degree or PhD in a quantitative subject, e.g. mathematics, computer science, actuarial science, data science. 3+ years of experience in quantitative modelling gained within the insurance, banking or asset management industry. Good knowledge of financial markets. Good knowledge of multiple asset types. Good … communication requirements. Desirable: Professional designations such as CFA, FRM, FIA/FFA would be viewed as favourable. Experience in the use and enhancement of predictive models using statistical and data science techniques, including feature engineering. Performing experience analysis and data manipulation, including the utilisation of machine learning techniques, in relation to monitoring credit experience and analysing trends. Experience More ❯

capital held to protect solvency under adverse events, for example: The annual calibration of market and credit risks, as well as the dependency structure between risks, which includes collecting data, refreshing analyses, understanding changes, rationalising judgements and presenting conclusions and proposals to senior stakeholders. Undertaking ongoing development to the methodology and tools which underpin the calibrations. This involves … Ensure appropriate stakeholder management and governance. Key Knowledge, Skills & Experience Essential: Bachelor’s degree, Master’s degree or PhD in a quantitative subject, e.g. mathematics, computer science, actuarial science, data science. 3+ years of experience in quantitative modelling gained within the insurance, banking or asset management industry. Good knowledge of financial markets. Good knowledge of multiple asset types. Good … communication requirements. Desirable: Professional designations such as CFA, FRM, FIA/FFA would be viewed as favourable. Experience in the use and enhancement of predictive models using statistical and data science techniques, including feature engineering. Performing experience analysis and data manipulation, including the utilisation of machine learning techniques, in relation to monitoring credit experience and analysing trends. Experience More ❯

time to join. The team is sharp, diverse, and growing quickly, with plenty of momentum behind what they’re building. About the Role This is a permanent, full-time Data Science Team Leader position. You’ll head a team developing production-grade ML and AI solutions, focusing on performance, rigour, and real-world impact. The role is hands-on … and strategically important. You’ll own end-to-end delivery, collaborate with technical and scientific teams, and help define how data science is applied across the business. This is meaningful AI work, with clear technical challenges and purpose. Responsibilities · Lead and mentor a team of data scientists working on applied ML projects · Take ownership of projects from data … approaches where relevant · Communicate clearly with both technical and non-technical audiences Qualifications · Strong Python skills and practical machine learning experience · Proven ability to lead or mentor in a data science setting · Track record of delivering models into production environments · Degree in a relevant technical field or equivalent hands-on experience · Excellent written and verbal communication skills · Bonus if 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 leadership Support client relations Technical Skills & Project Delivery: Ability to write production More ❯

time to join. The team is sharp, diverse, and growing quickly, with plenty of momentum behind what they’re building. About the Role This is a permanent, full-time Data Science Team Leader position. You’ll head a team developing production-grade ML and AI solutions, focusing on performance, rigour, and real-world impact. The role is hands-on … and strategically important. You’ll own end-to-end delivery, collaborate with technical and scientific teams, and help define how data science is applied across the business. This is meaningful AI work, with clear technical challenges and purpose. Responsibilities · Lead and mentor a team of data scientists working on applied ML projects · Take ownership of projects from data … approaches where relevant · Communicate clearly with both technical and non-technical audiences Qualifications · Strong Python skills and practical machine learning experience · Proven ability to lead or mentor in a data science setting · Track record of delivering models into production environments · Degree in a relevant technical field or equivalent hands-on experience · Excellent written and verbal communication skills · Bonus if More ❯

time to join. The team is sharp, diverse, and growing quickly, with plenty of momentum behind what they’re building. About the Role This is a permanent, full-time Data Science Team Leader position. You’ll head a team developing production-grade ML and AI solutions, focusing on performance, rigour, and real-world impact. The role is hands-on … and strategically important. You’ll own end-to-end delivery, collaborate with technical and scientific teams, and help define how data science is applied across the business. This is meaningful AI work, with clear technical challenges and purpose. Responsibilities · Lead and mentor a team of data scientists working on applied ML projects · Take ownership of projects from data … approaches where relevant · Communicate clearly with both technical and non-technical audiences Qualifications · Strong Python skills and practical machine learning experience · Proven ability to lead or mentor in a data science setting · Track record of delivering models into production environments · Degree in a relevant technical field or equivalent hands-on experience · Excellent written and verbal communication skills · Bonus if More ❯

a personalised BBC. This will be our greatest leap since iPlayer, and that’s why it’s right at the top of our agenda. At the BBC we see data science as fundamental on that journey. We use data and machine learning to enrich our content, improve journalist workflows and power personalised experiences for millions of audience members. … To help drive this effort, we’re looking for a Principal Data Scientist to join the Content Discovery (Recommendations) team. The successful candidate will be a technical leader in a cross-functional team of data scientists, engineers, product managers, editorial, and UX designers, to have real impact on millions of audience members. They will apply their technical … role background and candidate motivations for applying. 1.5 hour panel interview including a technical presentation from the candidate and role relevant competency based questions. Main Responsibilities As a Principal Data Scientist, you will work hands-on to deliver value to BBC audiences by developing data science products at scale. We are looking for ‘T-shaped’ individuals, combining More ❯