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.

The Product Manager II will oversee liquidity management, market maker programs, and have tasks involving cross-functional collaboration, analysis, and relationship management for crypto derivatives.

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.

As a Machine Learning Engineer, you'll develop production-ready data solutions, enhance financial data, optimize algorithms, and collaborate with product teams to deliver robust code.

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.

The Business Development Manager will secure insurer partnerships, manage the partnership lifecycle, drive commercial negotiations, and achieve revenue targets in the UK market.

Lead payment optimization strategy, improve transaction performance, balance fraud prevention, and collaborate with various teams for system enhancement.

Lead the development and implementation of a financial crime prevention product, shaping the product strategy and roadmap in a high-growth environment.

The Senior Producer will lead Game Integrity initiatives for MONOPOLY GO!, focusing on fairness, stability, and efficiency in game systems, partnering with various teams to ensure effective project delivery.

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.

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

Lead and manage the AI & Data Science function, set technical strategy, deliver AI solutions, collaborate across teams, and communicate impact to stakeholders.

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 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.

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.

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.

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

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.

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

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