1 to 25 of 235 Data Science Jobs in Scotland

Lead Data Scientist (Equity Only) - 1% Job Description As a Lead Data Scientist at Luupli, you will leverage AWS analytics services to analyze data, develop data-driven solutions, and provide actionable insights. You will work with cross-functional teams, including data engineers, product managers, and stakeholders, to shape our data strategy and support business … growth. Responsibilities Collaborate with teams to understand business objectives and define analytics goals. Develop data analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design and build data pipelines and ETL processes from diverse sources into AWS. Apply statistical and machine learning techniques for predictive and segmentation analyses. Create dashboards and KPIs with Amazon QuickSight … for decision-making. Perform exploratory data analysis to identify trends and insights. Work with data engineers to optimize data architecture, quality, and governance in AWS. Requirements Bachelor's or master's degree in Computer Science, Statistics, Mathematics, or related field. Experience as a Data Scientist in a cloud environment, preferably with AWS. Proficiency in AWS More ❯

Lead Data Scientist (Equity Only) - 1% Location: Glasgow, United Kingdom Job Category: Other EU work permit required: Yes Job Views: 4 Posted: 16.06.2025 Expiry Date: 31.07.2025 Job Description: About Luupli Luupli is a social media app 'in-development', which aims to provide opportunities for diverse creators from marginalized communities. It will highlight their work and offer access to social … media opportunities. Job Description: As a Lead Data Scientist, you will leverage AWS analytics services to analyze data, collaborate with cross-functional teams, and develop data-driven solutions to support business growth. Responsibilities: Work with teams to understand objectives and define analytics goals. Develop data analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and … QuickSight. Design data pipelines and ETL processes for data extraction and transformation. Apply statistical and machine learning techniques for predictive analysis, clustering, and pattern recognition. Develop KPIs and dashboards using Amazon QuickSight for decision-making. Perform exploratory data analysis to identify trends and insights. Collaborate on data architecture, quality, and governance in AWS. Requirements: Bachelor's More ❯

Social network you want to login/join with: Lead Data Scientist (Equity Only) - 1%, edinburgh col-narrow-left Client: Location: edinburgh, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 4 Posted: 16.06.2025 Expiry Date: 31.07.2025 col-wide Job Description: Lead Data scientist - Equity-Only role 1% About Luupli Luupli is … from marginalized communities. Luupli will highlight the work of diverse creators and provide them access to all the opportunities in the social media space. Job Description: As a Lead Data Scientist at Luupli, you will play a pivotal role in leveraging AWS analytics services to analyse and extract valuable insights from our data sources. You will collaborate with … cross-functional teams, including data engineers, product managers, and business stakeholders, to develop data-driven solutions and deliver actionable recommendations. Your expertise in AWS analytics tools and techniques will be crucial in shaping our data strategy and driving business growth. Responsibilities: Collaborate with cross-functional teams to understand business objectives, identify data requirements, and define analytics More ❯

approach to technology, delivering bespoke software solutions and expert advice. Our clients are increasingly looking to us to help them make the best use of their data. In building data platforms and pipelines, our data engineers create the foundation for diverse data & analytics solutions, including data science and AI. They build data lakes and … warehouses, create the processes to extract or access operational data, and transform siloed datasets into integrated data models that allow insight into business performance and problems or training of ML models. These are hands-on, client-facing roles, with openings at senior or lead level to suit your experience. You may be leading teams, setting technical direction, advising … clients or solving tough engineering challenges. You'd also be expected to spend some time on-site with clients in the London area on an ad-hoc basis. Our data engineers combine a strong software engineering approach with solid data fundamentals and experience with modern tools. We’re technology agnostic, and we’re open minded when it comes More ❯

Join to apply for the Principal Data Scientist role at Wood Mackenzie Join to apply for the Principal Data Scientist role at Wood Mackenzie Get AI-powered advice on this job and more exclusive features. Wood Mackenzie is the global data and analytics business for the renewables, energy, and natural resources industries. Enhanced by technology. Enriched by … other Customer committed – we put customers at the heart of our decisions Future Focused – we accelerate change Curious – we turn knowledge into action Wood Mackenzie is an industry-leading data analytics company that provides analysis and insight on the world’s natural resources with a presence all around the globe. We’re working on a next generation data … analysis & visualisation platform that enables our customers to drive billion-dollar decisions and accelerate the world's transition to a more sustainable tomorrow. We're looking for a Senior Data Scientist to join our team. This role will be working within our AI group and focus on the research, development and delivery of Generative AI solutions within our products. More ❯

marketing, innovation and an entrepreneurial spirit. Suntory Global Spirits is a place where you can come Unleash your Spirit by making an impact each and every day. Role Responsibilities Data Quality and Governance: Ensure the integrity and structure of the data warehouse and assets. Establish and enforce data standards, naming conventions, and classification frameworks. Define and govern … data models to ensure alignment with best practices and establish reliable sources for critical datasets. Collaborate with IT for proper data synchronization and clear documentation of updates. Support the creation of a Data Glossary, Data Lineage, and Governance in partnership with the CoE & EIM team. Engage in resolving data quality and process issues affecting reporting … solutions are sustainable and fit for purpose. Coaching and Mentoring: Lead and support report builders in their daily tasks and design discussions. Mentor the team to enhance skills in data modeling and visualization. Foster a culture of continuous learning and improvement. Drive advancements in analytics capabilities for data modeling and visualization. Collaborate with IT to design innovative data More ❯

Wood Mackenzie is the global data and analytics business for the renewables, energy, and natural resources industries. Enhanced by technology. Enriched by human intelligence. In an ever-changing world, companies and governments need reliable and actionable insight to lead the transition to a sustainable future. That's why we cover the entire supply chain with unparalleled breadth and depth … to trust each other Customer committed - we put customers at the heart of our decisions Future Focused - we accelerate change Curious - we turn knowledge into action Role Purpose The Data Analyst will play a key role in advancing forecasting and modelling efforts by managing, analysing, and optimising large datasets across renewable, conventional, and storage assets globally. Working on asset … revenue forecasting, power dispatch modelling, or power markets data, the analyst will focus on automating workflows, ensuring data quality, and delivering actionable insights through close collaboration with research, engineering, and product teams. This role contributes directly to improving forecasting accuracy and enhancing the company's global asset performance and revenue strategies. Responsibilities Knowledge Structures poorly defined problems, gathers More ❯

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 … 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 ❯

Join to apply for the Lead Data Engineer role at Motability Operations Ltd 4 days ago Be among the first 25 applicants Join to apply for the Lead Data Engineer role at Motability Operations Ltd Continuing Defleet’s data led journey and recognising the importance the Data & Analytics team performs in this regard, we are looking … for a skilled Lead Data Engineer who is passionate about exploiting data and searching for improvements in our existing processes and technology; can work closely with business teams; drives solutions with a focused mentality on business value and can lead, influence and drive collaboration across teams and stakeholders. It will focus on expanding the existing mission critical ecosystem … of Data and BI systems for analytics and decision making, using Primarily Data Warehouse/Mart, Data Lake, Self Service BI Tools and Data Science/ML platform using Oracle, Snowflake and AWS tech stack. About You We are looking for a skilled Lead Data Engineer who: Personal Attributes Self-starter with initiative and More ❯

marketing, innovation and an entrepreneurial spirit. Suntory Global Spirits is a place where you can come Unleash your Spirit by making an impact each and every day. Role Responsibilities Data Quality and Governance: Ensure the integrity and structure of the data warehouse and assets. Establish and enforce data standards, naming conventions, and classification frameworks. Define and govern … data models to ensure alignment with best practices and establish reliable sources for critical datasets. Collaborate with IT for proper data synchronization and clear documentation of updates. Support the creation of a Data Glossary, Data Lineage, and Governance in partnership with the CoE & EIM team. Engage in resolving data quality and process issues affecting reporting … solutions are sustainable and fit for purpose. Coaching and Mentoring: Lead and support report builders in their daily tasks and design discussions. Mentor the team to enhance skills in data modeling and visualization. Foster a culture of continuous learning and improvement. Drive advancements in analytics capabilities for data modeling and visualization. Collaborate with IT to design innovative data More ❯

marketing, innovation and an entrepreneurial spirit. Suntory Global Spirits is a place where you can come Unleash your Spirit by making an impact each and every day. Role Responsibilities Data Quality and Governance: Ensure the integrity and structure of the data warehouse and assets. Establish and enforce data standards, naming conventions, and classification frameworks. Define and govern … data models to ensure alignment with best practices and establish reliable sources for critical datasets. Collaborate with IT for proper data synchronization and clear documentation of updates. Support the creation of a Data Glossary, Data Lineage, and Governance in partnership with the CoE & EIM team. Engage in resolving data quality and process issues affecting reporting … solutions are sustainable and fit for purpose. Coaching and Mentoring: Lead and support report builders in their daily tasks and design discussions. Mentor the team to enhance skills in data modeling and visualization. Foster a culture of continuous learning and improvement. Drive advancements in analytics capabilities for data modeling and visualization. Collaborate with IT to design innovative data More ❯

an experienced and highly motivated Lead Machine Learning Engineer to drive the development, deployment, and optimization of machine learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring … the machine learning team. Responsibilities: Lead the end-to-end development of machine learning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models into robust production systems. Collaborate with engineering teams to integrate ML models into applications and services. Manage and mentor a team of machine learning … and data engineers. Establish best practices for model development, evaluation, monitoring, and retraining. Design experiments, analyze results, and iterate rapidly to improve model performance. Stay current with the latest research and developments in machine learning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science More ❯

an experienced and highly motivated Lead Machine Learning Engineer to drive the development, deployment, and optimization of machine learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring … the machine learning team. Responsibilities: Lead the end-to-end development of machine learning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models into robust production systems. Collaborate with engineering teams to integrate ML models into applications and services. Manage and mentor a team of machine learning … and data engineers. Establish best practices for model development, evaluation, monitoring, and retraining. Design experiments, analyze results, and iterate rapidly to improve model performance. Stay current with the latest research and developments in machine learning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science More ❯

an experienced and highly motivated Lead Machine Learning Engineer to drive the development, deployment, and optimization of machine learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring … the machine learning team. Responsibilities: Lead the end-to-end development of machine learning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models into robust production systems. Collaborate with engineering teams to integrate ML models into applications and services. Manage and mentor a team of machine learning … and data engineers. Establish best practices for model development, evaluation, monitoring, and retraining. Design experiments, analyze results, and iterate rapidly to improve model performance. Stay current with the latest research and developments in machine learning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science More ❯

to apply for the Senior Lead Software Engineer (Python) role at LSEG (London Stock Exchange Group) Role profile: Are you an experienced software engineer with a passion for productionising data science solutions? Do you want to build innovative solutions for financial markets and professionals by leading teams of brilliant, collaborative software engineers? If so, we’d love to … maintain robust and clean code. Mentor and guide engineers across skill levels, with your collaborative and growth-focused team culture while ensuring high-quality code practices. Collaborate closely with Data Science and software engineering teams to define project requirements, set technical direction, and establish development roadmaps. What you'll bring: Essential skills: Extensive experience in software engineering with … Working knowledge of DevOps practices, including CI/CD pipelines, automated testing, and monitoring, to streamline development workflows and improve deployment reliability. Education Bachelor’s degree in Engineering, Computer Science, Data Science, Statistics, Mathematics, Physics or related field, or equivalent work experience What you’ll get in return: High-impact projects: We work on a variety of More ❯

Analyst, Data Science – at Bank of England (Visa Sponsorship Available) The Bank of England is seeking a highly motivated Analyst, Data Science in Agencies to join its esteemed team across various UK locations (Leeds, Birmingham, Cardiff, Glasgow, London). This exciting opportunity is open to candidates requiring Skilled Worker visa sponsorship, making it ideal for international … professionals looking to contribute to a globally respected institution. Ideal applicants will bring proven experience in data science and artificial intelligence, particularly in applying AI to analyse complex information. The role requires strong interpersonal and teamwork skills, as collaboration is central to the Bank’s mission of maintaining monetary and financial stability in the UK. Working at the … technology to influence public policy and financial systems, this is a role that offers purpose and progression. Apply today and help shape the future of the UK economy through data-driven insight. About the Bank of England The Bank of England, established in 1694 as a private institution serving as banker to the Government, now stands as the United 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 delivery of multiple projects across the More ❯

We are looking for a hands-on, technically driven Data Engineer to join our expanding data team. This role is ideal for someone with a strong foundation in SQL and data management, who has recently graduated from a Data Science or Data Engineering programme and is eager to apply their skills in a modern … forward-thinking environment. You will be responsible for developing and maintaining robust data solutions that support reporting, automation, and strategic decision-making across the business. The successful candidate will have up-to-date knowledge of data tooling and methodologies, particularly in SQL, Power BI, and data automation, with an interest in modern data architecture such as … As the role sits within a relatively new department, where methodologies and processes are still evolving, there is a significant opportunity to help shape the future of OEG’s data management practices. Key Responsibilities: Database and Data Engineering Design, develop, and maintain SQL-based solutions and data pipelines. Manage relational databases, ensuring data can be extracted More ❯

We are looking for a hands-on, technically driven Data Engineer to join our expanding data team. This role is ideal for someone with a strong foundation in SQL and data management, who has recently graduated from a Data Science or Data Engineering programme and is eager to apply their skills in a modern … forward-thinking environment. You will be responsible for developing and maintaining robust data solutions that support reporting, automation, and strategic decision-making across the business. The successful candidate will have up-to-date knowledge of data tooling and methodologies, particularly in SQL, Power BI, and data automation, with an interest in modern data architecture such as … As the role sits within a relatively new department, where methodologies and processes are still evolving, there is a significant opportunity to help shape the future of OEG’s data management practices. Key Responsibilities: Database and Data Engineering Design, develop, and maintain SQL-based solutions and data pipelines. Manage relational databases, ensuring data can be extracted More ❯

a constituent of the FTSE 100 index of the London Stock Exchange. The Position Our roster has an opening with your name on it! We are seeking a Staff Data Engineer to lead the technical design and implementation of our most critical data infrastructure and products. In this senior-level individual contributor role, you'll be responsible for … designing scalable systems, setting data architecture standards, and solving complex technical challenges that power analytics, data science, and business function use cases across the company. You will collaborate closely with engineers, product managers, and business stakeholders to architect data solutions that are performant, reliable, and built with a long-term, customer-centric mindset. Architect High-Impact … Data Systems Design and implement scalable, maintainable, and secure batch & streaming data pipelines and architectures that support enterprise-wide data needs Define standards for data modeling, data product design, and pipeline orchestration using modern tools and cloud-native technologies Collaborate with cross-functional stakeholders to translate business and analytical requirements into end-to-end data More ❯

Get AI-powered advice on this job and more exclusive features. Direct message the job poster from Net Talent CEO and founder of Net Talent and People TalentExecutive SearchIT, Data, AI, Digital and HR RecruiterTalent PartnerCIPD/Associate Location: Central belt Scotland - Hybrid 3 days on site We working exclusively on an exciting opportunity for a Staff Data Engineer to lead the technical design and implementation of our most critical data infrastructure and products. In this senior-level individual contributor role, you’ll be responsible for designing scalable systems, setting data architecture standards, and solving complex technical challenges that power analytics, data science, and business functions across the company. You’ll collaborate with … engineers, product managers, and business stakeholders to architect performant, reliable, and long-term data solutions that are customer-centric and business-aligned. What You’ll Do: Design and build scalable, reliable, and high-performance data systems. Define and drive best practices for data modeling, ETL/ELT pipelines, and real-time streaming architectures. Set technical direction and More ❯

with: Job Description: We are seeking a talented and motivated Machine Learning Engineer to join our dynamic team. The ideal candidate will have a strong background in machine learning, data analysis, and software development. You will be responsible for designing, developing, and deploying machine learning models to solve complex problems and improve our products. Key Responsibilities: Develop and implement … Optimize and maintain existing machine learning models. Stay updated with the latest trends and advancements in machine learning and AI. Requirements: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Proficiency in programming languages such as Python, R, or Java. Strong understanding of mathematics and statistics. Experience with machine learning frameworks … like TensorFlow, Keras, or PyTorch. Knowledge of data analysis and visualization tools (e.g., Pandas, NumPy, Matplotlib). Familiarity with big data technologies (e.g., Hadoop, Spark). Excellent problem-solving skills and attention to detail. Ability to work independently and as part of a team. Preferred Qualifications: Experience with natural language processing (NLP) techniques. Knowledge of cloud platforms (e.g. More ❯

Job Description The Risk Management & Corporate Technology Machine Learning team at JPMorgan Chase is dedicated to addressing complex business challenges through the application of data science and machine learning techniques across Risk, Compliance, Conduct, and Operational Risk. As an Applied AI/ML Engineer on the team, you will have the opportunity to explore intricate business problems and … apply advanced algorithms to develop, test, and evaluate AI/ML applications or models for these challenges. You will leverage the firm's extensive data resources from both internal and external sources using Python, Spark, and AWS, among other systems. You are expected to extract business insights from technical results and effectively communicate them to a non-technical audience. … Job Responsibilities Design and architect end to end solutions in AI domain ranging from Anomaly detection Use cases, Chat with your at data, and using GenAI. Proactively develop an understanding of key business problems and processes. Execute tasks throughout the model development process, including data wrangling/analysis, model training, testing, and selection. Generate structured and meaningful insights More ❯

and motivated AI Full Stack Developer with a strong foundation in cybersecurity operations and artificial intelligence technologies. The ideal candidate will have deep technical expertise in AI/ML, data science, and programming, alongside a solid understanding of cyber threat detection and defensive operations frameworks. You will be instrumental in designing and implementing full-stack AI-driven solutions … modern full-stack development tools and frameworks. · Collaborate with cybersecurity teams to build and enhance detection and mitigation systems based on frameworks like MITRE ATT&CK. · Develop and maintain data pipelines, APIs, dashboards, and visualization tools to support AI model insights. · Write clean, well-documented, and secure code using Python, C C#, or R. · Leverage libraries such as TensorFlow … emerging AI trends, threat intelligence, and evolving attack techniques. · Participate in code reviews, threat modeling, and architectural design discussions. Qualifications & Skills: · Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field. · 3 years of experience in a cybersecurity operations or similar function. · Strong knowledge of cybersecurity principles, frameworks, and threat intelligence (e.g., MITRE ATT&CK More ❯

of Service Analytics and Reporting to join our Computershare Technology Services team. A role you will love In this strategic role, you'll provide actionable insights based on concrete data to improve service performance. You will also be responsible for analyzing service data, identifying patterns, and proposing data-driven recommendations to departmental and technology leads. You'll … collaborate with stakeholders across the business to ensure they understand and can effectively utilize data to drive informed decision-making. While this role does not own the implementation of solutions, it plays a critical part in enabling a data-driven culture, ensuring key decision-makers have the right information at the right time. Other key responsibilities include: Service … Performance Analytics: Delivering data-driven insights that help measure and improve IT service performance Predictive Analysis: Developing models to identify patterns and forecasting potential service disruptions before they occur, enabling proactive decision-making Reporting & Visualization: Creating and maintaining dashboards using Power BI, Excel, and other tools to present clear, actionable insights Data Strategy & Governance: Ensuring data accuracy More ❯