1 to 25 of 29 Remote Data Science Jobs in Scotland

Principal Data Scientist - Remote Remote Working - UK Home-based with very occasional travel into the office £52,737 - £66,197 (National Framework) or £58,409- £71,869 (London Framework – if you are London office based or homebased and live within the boundary of the M25) Plus an additional allowance … with current UK working rights for this role, this client cannot offer visa sponsorship. A new and exciting opportunity has arisen for a Principal Data Scientist with a strong background in Advanced AI (Artificial Intelligence) to lead, mentor and up skill a team of Data Scientists. Collaborating cross … functionally the role will focus on the delivery of AI and Data Science programmes across the organisation, driving Data Quality, Data Governance and Best Practice. Proven and demonstratable experience of Python coding and clouding computing is required coupled with fantastic communication skills to problem solve and More ❯

Senior Data Scientist at University of Edinburgh Sponsorship Available The University of Edinburgh is seeking a talented and experienced Senior Data Scientist to join its prestigious School of Informatics. This is an exciting opportunity for a data science professional to advance their career, contributing to groundbreaking … research at the intersection of AI and biological data. Candidates should have proven experience in a data science role, with strong skills in managing, structuring, visualising, and analysing data, as well as developing statistical or machine learning tools. The ideal applicant will have hands-on experience applying … This role is ideal for someone looking to develop leadership skills within a newly established team focused on AI solutions using cutting-edge biological data modalities. As part of a leading research institution, the successful candidate will contribute to innovative interdisciplinary work that advances scientific discovery. Visa sponsorship is More ❯

ML/AI Engineer - £60,000 - Remote Company Overview: Our client is a Microsoft-partnered consultancy that excels in delivering exceptional data and AI solutions to a diverse array of clients. Their expertise includes advanced data analytics, artificial intelligence, and custom finance solutions, ensuring tailored support for each … role is designed to be almost entirely remote, offering flexibility and a supportive work environment. Client has large plans to massively grow out their Data & AI team, and with VC backing the sky is the limit! Role Overview: The client is looking for a talented Data/ML … needs and implement industry best AI solutions accordingly. Requirements: Strong Python experience, particularly for AI/ML use Experience with cloud technology, Azure preferred Data Science, Machine Learning and AI tech experience Benefits: 10% Bonus Remote Working 25 Days Annual Leave + Bank Holidays Annual Salary Review + 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. Our solutions drive towards commercial impact in the form of More ❯

flexible hours, flex-summer holidays, flex-bank holidays, great parental support and a real focus on finding work-life balance! We're the Chief Data & Analytics Office (CDAO) within Lloyds Banking Group!The mission of Group Chief Data and Analytics Office is to promote, embed and commercialise Data and Analytics practice and culture across Lloyds Banking Group. The Data Resilience team is a new chapter within the Chief Data and Analytics Office. It has the responsibility to define and embed new Strategies, Operating Models and Control Frameworks to protect the Banks critical data services … by ensuring we comply with the spirit of the regulatory requirements for operational resilience established by the Bank of England, FCA and PRA. The Data Resilience Team was created as a sub- function to support the wider operational resilience regime, with a key focus on critical data assets. More ❯

Job Title: Data Analyst Location: Edinburgh (3 days on-site) Salary: £30,000 – 40,000 D.O.E Join a leading financial services company based in the heart of Edinburgh. We are committed to delivering innovative solutions and exceptional service to our clients. Our team is passionate about leveraging data to drive strategic decisions and enhance our offerings. Job Description: We are seeking a talented and motivated Data Analyst to join our team. The ideal candidate will have a strong analytical background, excellent problem-solving skills, and the ability to translate complex data into actionable insights. As … a Data Analyst, you will play a crucial role in supporting our business objectives through data-driven analysis and reporting. Key Responsibilities: Collect, analyse, and interpret large datasets to identify trends and patterns. Develop and maintain data models, dashboards, and reports. Collaborate with cross-functional teams to More ❯

Keller Executive Search is currently looking for a talented Data Scientist to join their dynamic team. In this role, you will harness the power of data to derive insights and support key business decisions across a range of strategic initiatives. You will be responsible for utilizing advanced statistical … methods, machine learning algorithms, and data visualization techniques to tackle complex data challenges. Your work will involve working with large datasets, conducting analyses, and presenting findings to stakeholders, enabling them to leverage data in their decision-making processes. Key Responsibilities: Analyze and interpret complex data from … decisions. Develop and implement machine learning models and statistical analyses to solve business challenges. Collaborate with cross-functional teams to identify opportunities for leveraging data to drive business growth. Visualize data through intuitive dashboards and reports to effectively communicate findings and insights to technical and non-technical stakeholders. More ❯

Description The Data Security Engineer is responsible for designing, implementing, and maintaining MO's data security frameworks to safeguard sensitive information against unauthorised access, breaches and cyber threats. This role focuses on identifying vulnerabilities, establishing robust security protocols and ensuring compliance with industry standards and regulatory requirements. The … Data Security Engineer collaborates with cross-functional teams to develop security solutions that align with business objectives, enhance system resilience and promote a culture of data security across the organisation. By proactively addressing security challenges, this role plays a pivotal part in protecting MO's digital assets and … fostering trust among stakeholders & customers. You are a detail-oriented and analytical professional with a passion for safeguarding data and a deep understanding of security best practices. With a solid foundation in cybersecurity principles, you have experience designing and implementing security measures that protect sensitive information in complex environments. More ❯

Description We use innovation to shape data so it works for everyone and we're planning to re-platform and improve the existing (commercial, operational and customer) data assets and develop new ones, as well as transform how we work with the business to use our data better. As our Digital Data Analyst, you will play a key role in supporting the charge in digital innovation and management across our diverse range of products and services. In this role, you will support our Digital teams, encompassing both Organic Performance (SEO) and Performance Media (Display, Paid … You will be at the forefront of our digital business, leveraging digital channels to better serve our customers. We're looking for a digital data enthusiast, working collaboratively with a variety of stakeholders to ensure alignment with business objectives and customer outcomes. Your support will help the team in More ❯

and its unique platform. Apply now to join a business with collaborative culture that values innovation, integrity and excellence. The Senior Product Manager for Data, Analytics, and AI will shape and drive the strategic direction of data-centric and AI-enabled products, ensuring alignment with business objectives and … customer needs. This role oversees the full product lifecycle - from concept through to delivery- leveraging advanced data, analytics, and AI capabilities to deliver impactful and innovative solutions. Key Responsibilities: Develop and execute a comprehensive product strategy for data, analytics, and AI solutions. Define, maintain, and prioritise product roadmaps … informed by market trends, user feedback, and business goals. Partner with data science and engineering teams to identify opportunities for AI/ML-driven innovation. Ensure product initiatives are closely aligned with organizational priorities and customer challenges. Embed AI, machine learning, and analytics into product features to deliver More ❯

and its unique platform. Apply now to join a business with collaborative culture that values innovation, integrity and excellence. The Senior Product Manager for Data, Analytics, and AI will shape and drive the strategic direction of data-centric and AI-enabled products, ensuring alignment with business objectives and … customer needs. This role oversees the full product lifecycle - from concept through to delivery- leveraging advanced data, analytics, and AI capabilities to deliver impactful and innovative solutions. Key Responsibilities: Develop and execute a comprehensive product strategy for data, analytics, and AI solutions. Define, maintain, and prioritise product roadmaps … informed by market trends, user feedback, and business goals. Partner with data science and engineering teams to identify opportunities for AI/ML-driven innovation. Ensure product initiatives are closely aligned with organizational priorities and customer challenges. Embed AI, machine learning, and analytics into product features to deliver More ❯

organisation to maximise on the power of its data. The successful candidate would be: Working in an agile scrum team to design and build data feeds and related applications Writing, testing and peer review of ETL code in Oracle ODI Working with business users to design and configure self … serve data environments within our snowflake data lake Analysing, developing, delivering, and managing BI reports Assisting in the design of the data processes, including data quality, reconciliation, testing, and governance Contributing to technical process improvement initiatives Releasing and supporting software through environments including production support and … and learning new skills Willingness to take part in overnight support rota Minimum Criteria You'll need all of these. Experience of building a data warehouse using an ETL/ELT tool, preferably Oracle ODI Significant database experience in Snowflake or Oracle Star schema/dimensional modelling. Excellent SQL More ❯

cover from 12 months Global Recognition Program – 40+ awards were made last year under our RecogniseMe scheme Role Purpose: As a Global Customer Experience & Data Analytics Analyst, you will play a crucial role in analysing and interpreting customer and business data to enhance overall customer experience and operational … the ability to effectively communicate insights to internal teams and external clients. You will be responsible for gathering, processing, and analysing customer and business data, developing reports, and supporting decision-making through actionable insights. Additionally, you will collaborate closely with cross-functional teams, including product development, marketing, and IT … to ensure continuous improvement in customer satisfaction and business performance. What to expect: Data Analysis & Insight Generation: Collect and analyse customer and business data from multiple sources, including surveys, feedback forms, CRM systems, and transactional databases. Interpret data to identify trends, patterns, and areas for improvement in More ❯

I am working with an emerging Insurtech looking for a technical Pricing/data science professional. Seeking a proactive individual with a passion for data to join a small, high-performing team and play a key role in driving the business forward. They use an in-house … where initiative and independent working are key. - Strong technical pricing background, ideally with experience using WTW Emblem; retail pricing and/or exposure to data science techniques (e.g. machine learning, Python) within a pricing context is highly desirable. - 3 to 8 years of experience within personal lines insurance More ❯

Software Engineer - UK Remote This leading, remote-first healthcare data science/bio-informatics client have put everything in place to ensure their culture and environment at the very least matches, and in many areas exceeds, their competitors. Innovation isn’t just about technology and product, it’s … one of the best Glassdoor profiles going, can demonstrate extraordinary staff retention and longevity, and are responsible for one of Europe’s most innovative data science healthcare platforms. Their Azure-hosted machine learning platform fosters R+D and collaboration between people from all areas of healthcare, across the globe. More ❯

models across a range of products. As a Technical Pricing Manager , you’ll drive strategic change by enhancing model sophistication and leveraging the latest data science techniques to support profitable business growth. Key Responsibilities: Develop and refine complex actuarial models to deliver high-impact, innovative pricing solutions Conduct … the business to address diverse challenges Produce reports, documentation, and presentations to effectively communicate statistical models and insights to key stakeholders Requirements: Proficiency in data science techniques using Python or R Expertise in statistical analysis software, with knowledge of Willis Towers Watson (Emblem, Radar) being highly desirable Strong More ❯

Information and Data Management Officer Department: Information Assurance and Specialists Location(s): London Salary: Starting from £41,737 Job description Flexible Working: Full time, part time, and compressed hours are possible. Due to the sensitive nature of the work, the majority of the role is office based with limited … and encouraging environment that puts the emphasis on teamwork. The Role Our organisation is driven by knowledge and insights, and as an Information and Data Management Officer, you’ll maximise the impact of our intelligence and actively contribute to our mission. Working with a range of unique, interesting, and … and experience. You’ll help implement best practice and share your existing knowledge to maximise the value of our information. You’ll represent the Data and Information Department and its aims. You’ll likely complete your first role in a central team focusing on information, records or data More ❯

bring your own ideas to our initiatives. What will your role look like? You will work on a modern tech stack, addressing software and data challenges that propel our business. You will design and deliver robust, scalable solutions within an agile, DevOps environment, utilizing the latest Microsoft and Azure … technologies. Initially, you will collaborate closely with a Technical Architect to develop a cutting-edge data lake for HRPW, laying the groundwork for custom AI solutions to improve team efficiencies. Key responsibilities include: Collaborating with our AI team on developing custom copilot solutions for HRPW. Working with high-performing … automations. Assessing trade-offs and barriers pragmatically during software delivery. Leading non-functional improvement efforts such as security and performance profiling. Liaising with the data engineering group to stay updated on Azure data tooling and promote best practices. Ideal candidate qualities: Passionate about technology, especially the Microsoft development More ❯

Biotech start up Business On behalf of an innovative biotech startup, I am currently seeking a talented Data Scientist to join a growing team that's tackling one of the most exciting intersections of biology and technology. This startup has spent several years developing proprietary software capable of interpreting … IR spectra. After building the foundational tech, they embarked on an ambitious mission to collect validated spectral data from a wide variety of organisms. The result? A robust, cloud-based database designed to identify bacteria and digital yeast-offering powerful applications across veterinary diagnostics, environmental monitoring, and food safety. … As the Data Scientist, you'll play a crucial role in enhancing and optimising this platform. You'll work directly with spectral data, contribute to machine learning models, and help ensure the system continues to deliver high-value insights for real-world applications. Key Responsibilities: Analyse complex infrared More ❯

Engineer to join our growing team. If you have a passion for stopping bad actors and excel in working with machine-learning models and data analytics over large datasets, this is your place. You are willing to learn new skills, eager to stay up to date, and to work … analyze potential detection gaps, propose projects and ideas, and define and implement a plan to make them real. Analyze large datasets to extract complex data patterns. Monitor changes in the threat landscape via automation and visualization techniques and develop models to identify new threats. You will have the opportunity … blog posts detailing your research findings. Minimum requirements: Background in cybersecurity, with a strong emphasis on threat detection. Solid experience in machine learning and data science, proficient in both supervised and unsupervised algorithms and frameworks such as TensorFlow, PyTorch, or Scikit-learn. Experience working with large, real-world More ❯

AI platform in their market. They help their clients service customers with unmatched speed and accuracy. The Opportunity: There're looking for a Senior Data Scientist with deep experience in computer vision to join a high-performance team. Youll help push the boundaries of visual defect detection and predictive … optimising workflows in Azure Machine Learning (AML) for both dev and prod Develop and execute best practices for experimentation enabling the team to make data informed decisions Contributing to the end-to-end AI pipeline from data ingestion to production deployment Were looking for: 4+ years in applied … data science with a proven record of delivering value Hands-on experience with Azure , yolo , and OpenCV Proven track record training custom image models on real-world datasets Experience deploying to Azure ML production pipelines Experience with LLMs in production settings Strong understanding of model evaluation, data More ❯

as Investments, Insurance, F&B and CPG. The founders have proven experience in building a consultancy from scratch and exiting, having previously built a Data Science consultancy and successfully sold to a ‘big 4’ , they are on course to replicate their success here. This has fuelled rapid growth More ❯

At Capgemini Invent, we bring to life what's next for our clients. By combining strategy, technology, data science, and creative design expertise with an inventive mindset, we partner with our clients to innovate and transform their business, helping them navigate today, while plotting a course for the … their businesses. Located in more than 36 offices and 37 creative studios around the world, it comprises a 12,000+ strong team of strategists, data scientists, product and experience designers, brand experts and technologists who develop new digital services, products, experiences and business models for sustainable growth. Capgemini Invent … address the entire breadth of their business needs, from strategy and design to operations, fuelled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported in 2023 global revenues of €22.5 billion. Our brand promise "Get The Future You More ❯

and provide technical leadership to other modelling staff as a leader in an urban drainage environment with an excellent client service focus. Experience in data science would also be beneficial, but is not essential. Most importantly, you'll embody our values and ethos of client focus and service More ❯

MarTech Architect to join our team you will do the following; Drive requirements and design to identify and recommend workable solutions to clients across data driven marketing, single view of the customer, and marketing technology Drive platform selection to select the best technology platforms for the job Create architecture … meet client requirements Work with the project management to develop the overall implementation solution plan Collaborate with team members from multiple disciplines, including Designers, Data Scientists, Software Engineers, Clients and Business Stakeholders to help identify key areas for innovation, define and refine the challenge statement and propose solution hypotheses … technology client representatives to gather functional and technical requirements Keep informed of the latest technology trends and innovations especially in the areas of customer data platforms, marketing automation, data integration, master data management, marketing resource management, digital asset management, web content management, mobile, and social media Be More ❯