Top Data Science Jobs in Manchester

Lead and shape Data and Data Science strategies for Credit Card initiatives. Collaborate with teams to implement data solutions and maintain impactful relationships, ensuring alignment with business objectives.

As an Algorithm Engineering Apprentice, you'll design signal processing and AI algorithms for sonar systems while studying for a BSc in Digital and Technology Solutions.

As a Customer Success Manager, you will build relationships with clients, ensure they derive value from Bloomreach's services, and serve as a trusted advisor in the e-commerce sector.

As the AI & Data Ethics Technical Lead, you will enhance Kainos' AI capabilities, develop demos of Responsible AI techniques, and support data & AI trust in customer projects.

Responsible for driving product strategy, collaborating with teams, managing product roadmaps, and ensuring product performance for retail AI solutions.

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

The Business Development Manager for BJAK will secure insurer partnerships, drive revenue growth, manage relationships, and lead market entry in the UK insurance sector.

The Lead Golang Software Engineer develops server solutions, leads technical designs and code reviews, mentors colleagues, and ensures the quality of engineering practices in the Commercial Systems unit.

Join a pioneering team in post-quantum cryptography, working on RISC-V based security solutions. Collaborate on innovative technologies in a flexible environment.

The Senior Product Manager will define and execute the strategic roadmap for real-time data capabilities, enhancing customer cloud management through insights and response tools.

The Senior Analyst will develop vertical solutions, support international projects, collaborate with teams for strategic recommendations, and assist with operational tasks including ad-hoc data analysis and client communication.

As a Senior Data Scientist at Chaos Labs, you'll enhance modeling capabilities and deliver insights for decentralized finance, collaborating with engineering and product teams.

Lead the development of Neon Pay's payment optimization strategies, focusing on fraud prevention, transaction performance, and collaboration with engineering and data science teams.

Lead a team of Data Scientists and Analysts at Monzo, driving product innovation in Payments through data insights and strategy. Collaborate with Product and Engineering teams to enhance the customer experience and support global expansion efforts.

Lead AI strategy and execution at Pigment, mentor a team in AI and data science, and drive AI integration across the organization.

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.

The Data Science Editor will create and edit tutorials on data science and AI, manage freelancers, and improve content through SEO practices.

Lead a team of data scientists to develop data-driven solutions for supply chain efficiency. Implement machine learning techniques and mentor team members.

Lead the Hotel Optimization team, design data-driven models, drive revenue opportunities, and automate processes through advanced analytics and programming.

The Data Science Manager will lead a team of data scientists to develop machine learning models for credit-related solutions and promote collaborative, data-driven insights across Kuda.

As a Data Science Intern, you'll identify frameworks for data-driven business challenges, transform datasets, run analyses, build machine learning models, and communicate results.

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

Develop and improve machine learning and statistical models for sports betting products, collaborating with teams to enhance performance and deploy models.

Data Scientists at QuantCo will analyze data, build machine learning models, and communicate results to stakeholders, aiming for impactful solutions.