Top Data Science Jobs in Edinburgh

Lead and mentor a data science team building ML and LLM solutions for cybersecurity. Translate business needs into research and production ML objectives, prioritize roadmaps, collaborate cross-functionally, and drive technical vision, model development, and operationalization for malware detection and threat analysis.

As the Director of Data Science, you'll mentor teams, oversee projects, drive data-driven decisions, and implement AI and ML solutions while enhancing our data pipeline.

Lead EMEA revenue strategy and execution across UK, DACH, Nordics and Benelux. Build and scale multi-segment sales organization (BDR to Enterprise), set GTM, forecasting and performance frameworks, drive enterprise deals and C-suite engagement, partner cross-functionally, develop leaders, and represent Anaconda externally to grow ARR and retention.

Lead the development of reporting and analytics capabilities, improve product features, and drive cross-functional collaboration to enhance customer satisfaction and revenue growth.

Adjudicate automated vessel detections humans cant resolve: identify dark/spoofed/low-confidence contacts, investigate AIS/GNSS manipulation and ownership, produce sourced identification records, and supply labeled ground truth to improve detection models.

The Senior AI Transformation Consultant works with clients to identify AI opportunities, define robust business cases, and oversee AI project deployments, ensuring solutions deliver value.

The role involves creating research content, providing insights in Analytics and AI, engaging with clients, and mentoring team members. A strong focus on industry trends and effective presentation skills is required.

The Senior Director of Business Development will drive Cytel's Large Pharma expansion by managing client relationships, executing sales strategies, and leading proposal development.

Manage and grow relationships with Western Europe e-commerce clients as a trusted advisor. Ensure CDP delivers measurable value, align platform with client strategy, drive adoption, advise on analytics and marketing best practices, and balance client and Bloomreach objectives to create win-win outcomes.

This role invites speculative applications for various tech positions. Candidates with skills in Salesforce, DevOps, AWS, and user experience are encouraged to apply.

Own and prioritise the platform product backlog, work with remote engineering to refine stories and unblock delivery, shape roadmap with leadership, gather and validate requirements with stakeholders/customers, write user stories and acceptance criteria, and balance features, technical debt and operational stability while understanding APIs, data models and integrations.

As a Curriculum Manager, you will manage content development for the data science and engineering curriculum, collaborating with instructors and teams to enhance learning experiences.

Manage curriculum development for data science and engineering, collaborate with instructors, create content, and drive improvements based on learner feedback.

Lead a team building Owkin's agentic AI Scientist for drug discovery by applying multimodal omics and ML to discover targets, biomarkers, and disease subtypes; collaborate with biologists, engineers, and partners; shape platform capabilities, publish results, and grow a high-performing research team.

Lead and grow a data science team to design, develop, evaluate, and deploy production-grade AI/ML solutions (LLMs, Generative AI, RAG, transformers). Own technical vision, MLOps/LLMOps, model governance, and cross-functional execution with Product and Engineering to deliver scalable business impact in financial markets.

Lead high-value analytics projects: translate business questions into analysis plans, run exploratory and diagnostic analysis, apply statistical and quasi-experimental methods, evaluate initiatives, quantify impact, and coach analysts while shaping analytical standards across Marketing & Sales.

Lead analytical work to inform high-value decisions: translate business questions into analysis plans, run exploratory and diagnostic analysis, design statistical models, experiments and quasi-experimental methods to quantify impact, and coach analysts while shaping analytics standards and best practice.

As a Curriculum Manager, you will manage the content development lifecycle, collaborate with instructors, and improve data science curriculum, ensuring technical accuracy and pedagogical effectiveness.

The Curriculum Manager will oversee the content development lifecycle, recruit instructors, design curriculum, assess course performance, and improve data science and engineering content.