26 to 36 of 36 Data Science Jobs in Edinburgh

pipelines critical to its technology platform. This is an opportunity to join a growing, cross-functional team working on meaningful challenges in biology and data science, where your ideas and engineering skills will have a direct impact on product development and scientific discovery. Software Engineer responsibilities Design, develop … optimise, and maintain cloud computing environments for bioinformatic data processing. Build scalable, well-documented data analysis pipelines for long-read RNA sequencing workflows. Develop and implement logging, reporting, and data archiving systems to support reproducible research. Lead software engineering best practices, including testing, version control, deployment, and … documentation. Generate visualisations and reports to communicate key findings from complex transcriptomic datasets. Collaborate closely with biologists, data scientists, and product stakeholders across the business. Software Engineer requirements: Proven software engineering and DevOps experience within a research or R&D setting. Strong understanding of sequencing data analysis, particularly More ❯

Sr. Applied Scientist, Last Mile Science Are you passionate about solving complex logistics challenges that directly impact millions of customers? Our Logistics Analytics team is at the forefront of revolutionizing delivery experiences through data-driven solutions and innovative technology. As a Senior Applied Scientist, you will join a … scheduling solutions, and develop scalable processes. In this role, you will have immediate ownership of business-critical challenges and the opportunity to make strategic, data-driven decisions that shape the future of last-mile delivery. Your work will directly influence customer experience and operational excellence. The ideal candidate will … possess both research science capabilities and program management skills, thriving in an environment that requires independent decision-making and comfort with ambiguity. This role offers the opportunity to make a significant impact on one of the world's most sophisticated logistics networks while working with pioneering technology and data 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 ❯

Applied Scientist II (Machine Learning), ITA - Automated Performance Evaluation Sector: Data Science, Project and Program Management, Science and Pharmaceutical Role: Professional Contract Type: Permanent Hours: Full Time DESCRIPTION Do you want a role with deep meaning and the ability to make a major impact? As part of … opportunity to reinvent the hiring process and deliver unprecedented scale, sophistication, and accuracy for Amazon Talent Acquisition operations. ITA is an industry-leading people science and technology organization made up of scientists, engineers, analysts, product professionals and more, all with the shared goal of connecting the right people to … tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing - Experience in building machine learning models for business application PREFERRED More ❯

the role: As an Insights Lead, you will play a key role in developing and shaping the insights' function, from the ground up driving data-led decision-making across Diligenta Customer Services. You will design and deliver strategies that harness customer and commercial insights, predictive analytics, and operational data … customer satisfaction, increase revenue, and support long-term strategic planning. In this role, you will need to be an expert in value add analysis, data science, coupled with strong commercial understanding and the ability to communicate complex information with clarity. You'll turn data into actionable insights … AI applications. A strong understanding of UK Financial Services/L&PI industry, including market trends, competitive landscape and relevant business landscape. Experience using data visualisation tools such as Tableau, Power BI, or similar. Proven experience working with customer satisfaction metrics and interpreting insights from their analysis. If you More ❯

by being practitioners ourselves. We are on an exciting journey together, and not everything is solved yet. BASIC QUALIFICATIONS Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related field, or equivalent practical experience 5+ years in Software Development and Cloud Computing building performant More ❯

Language Engineer with experience in the field of Natural Language Processing, Machine Learning, or Large Language Models, as well as expertise in handling large data sets and strong analytical skills. You will play a critical role in innovative projects by driving design of Alexa features. The key responsibilities are … to generate high-quality data and to run and evaluate experiments, which involves prompt engineering our Large Language Model for API delivery. You will work closely with engineers, scientists, and program managers to ensure we're providing the best Alexa experience for millions of our customers. As a Language … Engineer, you will start by diving deep into a couple of critical projects across Alexa experiences. You will collaborate with fellow Language Engineers, Data Scientists, Program Managers, and stakeholders in science, engineering, and product teams to understand the role data plays in developing data sets and More ❯

certainty, and reduce price/volumetric volatility. Use quantitative and qualitative analysis to help clients enter new markets and drive growth. Develop strategies leveraging data science for decision-making in investment, trading, and other quantitative domains, aligning with clients' business goals. Utilize advanced analytics, machine learning, and predictive … capital markets. You have a flair for breaking down problems into logical parts and constructing clear reasoning and analyses, using quantitative analysis methods, statistics & data-driven thinking. You have energy and drive, a passion for continuous learning and mastering new topics, and an understanding of how forces like digital … in commodity marketing and trading. You have strong quantitative skills, including familiarity with Excel/VBA, R, and/or Python and their respective data manipulation, statistical modelling, and visualization packages. What's in it for you: You'll be doing work in the forefront of the commodity trading More ❯

s still an exciting journey ahead. Join us at the heart of trust. As part of the MLOps team, you'll work closely with data scientists, software engineers, and other stakeholders to bring machine learning models to life-ensuring they're deployed, maintained, and monitored efficiently in production. You … to improve model performance and infrastructure, all while contributing to Trustpilot's AI-based solutions. What you'll be doing: Model Deployment: Collaborate with data scientists to take machine learning models from development to production, ensuring quality work and scalability. Build Pipelines: Develop and maintain data and model … Familiarity with cloud platforms like GCP, AWS, or Azure. Experience with CI/CD pipelines for machine learning (e.g., Vertex AI). Experience with data processing frameworks and tools, particularly Apache Beam/Dataflow is highly desirable. Knowledge of monitoring and maintaining models in production. Proficiency in employing containerization 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 ❯

Job Description AtkinsRéalis are looking to recruit an Information Manager to join the Data and Information Management team within our Infrastructure division. We can be flexible around your location - with the role potentially being based from any AtkinsRéalis UK office. As part of our growing commitment to the digitization … of the built environment, innovation in digital engineering and design, and the rising importance of information and data management in the construction sector, we are looking to find new talent to support our growing Data and Information Management team on some of our largest infrastructure programmes. As one … information management, to the application of user-focused discovery and service delivery - we have a vision for change. Our global programme to connect People, Data and technology is focused on delivering beyond expectations, creating a sustainable more resilient net zero future, changing the game, pushing the limits, and engineering More ❯