Top Data Science Jobs in Manchester

The Director of Threat Research & Reporting will lead a cross-functional team focused on assessing and improving CrowdStrike's threat detection capabilities while managing internal and external research relationships.

As an Account Executive, you'll manage the sales pipeline, engage senior stakeholders in financial institutions, and drive complex sales cycles from outreach to contract execution.

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.

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.

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.

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 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.

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

As a Customer Success Manager, build long-term client relationships, act as a trusted advisor, ensure value delivery, and challenge the status quo for e-commerce businesses.

The DBI Director will lead the global data and business intelligence strategy, managing a multidisciplinary team, and transforming data into actionable insights for decision-making while ensuring compliance and data quality.

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

The Product Manager identifies banking challenges with transactional data, directing product strategy and roadmap, enabling sales, and collaborating with engineering teams to deliver impactful 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.

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.

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

As a Senior Product Manager, you will analyze complex datasets in life sciences, translating insights into actionable strategies, collaborating with teams, and applying data science techniques to enhance product offerings.

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

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.

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.