Top Data Science Jobs in Manchester

Lead and develop a Data Science team to deliver scalable ML/AI solutions for an online Personalisation programme, ensuring impactful customer experiences.

Design and develop AI solutions for complex problems, integrating AI capabilities into systems and improving effectiveness through experimentation and evaluation.

Develop and evaluate AI/ML and Generative AI/LLM models from POC to production, perform data science and statistical analyses to support business decisions, document and assess model risk, publish patents/papers, collaborate with SMEs, and provide technical leadership while deploying solutions with modern Agile/DevOps and cloud practices.

Lead commercial expansion into the UK Air domain, owning sales, pipeline, bids, contracts and account growth. Build senior customer and partner relationships, translate AI/ML capability into operational outcomes, and ensure solutions are deliverable and strategically aligned while working with multidisciplinary teams in secure defence contexts.

Lead client-facing delivery for major infrastructure, transportation and buildings programmes, providing project management, construction management, planning & controls, cost and risk solutions. Integrate multidisciplinary teams, promote digital controls and data analytics, support programme lifecycle from business case through handover, and contribute to the global Project & Programme Controls community.

Lead finance analytics, own data warehouse strategy and governance, build a reporting Center of Excellence, implement Finance AI automation and data pipelines, optimize GCP costs, create self-service analytics, manage a small cross-functional team, and ensure data governance and audit readiness.

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 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.

As a Software Engineer, you will design and develop applications, write clean code, engage in code reviews, optimize systems, and explore new technologies in a remote team.

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.

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

Lead a global team to design, build, and improve high-fidelity detection logic across MXDR technologies (EDR, NDR, SIEM). Set strategy, manage senior and regional detection engineers, collaborate with threat intel, DFIR, red teams, and product leadership, and apply data science to improve detection coverage and SOC efficiency.

The AI Lead Product Manager will define and own the product strategy for AI-powered health data, lead product teams, engage with stakeholders, and ensure compliance with regulations.

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

Lead and grow a Data Science team to deliver end-to-end, scalable ML/AI solutions for online personalisation. Partner with product, engineering and commercial teams to embed models, set standards for agile delivery, testing and model monitoring, and drive innovation to improve customer experiences and business value.

As a Product Manager, you will lead AI-first pods, drive product roadmaps, prioritize customer needs, and collaborate effectively across teams to deliver AI-powered solutions.

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

Lead and define the data science and AI strategy, deliver production-grade ML and generative AI solutions, operationalise models with MLOps and governance, build and mentor a high-performing team, and influence stakeholders to drive measurable business impact.

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

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.

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.