Senior Data Scientist

TechNET IT Recruitment Ltd
London
1 month ago
Applications closed

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Senior Data Scientist – 12 month contract – Outside IR35 – London based


We are seeking a Senior Data Scientist to join a cross-functional Recommendations group, a team of dedicated engineers, scientists, and machine learning specialists focused on developing and improving advanced recommendation systems across a portfolio of widely used applications. Collaborating with product teams and other engineering groups, the team leverages AI and machine learning to enhance user experiences and drive the mission of fostering healthy, equitable relationships.


Key Responsibilities

• Collaborate with machine learning scientists and engineers in a cross functional team environment.

• Identify high-value opportunities and design frameworks to evaluate algorithmic improvements.

• Conduct large-scale experiments to validate hypotheses and guide product innovation.

• Analyse the impact of algorithm changes on marketplace dynamics and user engagement.

• Partner with business and technical stakeholders to translate complex problems into scalable AI solutions.

• Work closely with Product Management to define roadmaps and establish key metrics aligned with strategic goals.


Previous experience

• A degree in Computer Science, Mathematics, or a related quantitative field (e.g., economics, social science).

• Experience working with recommendations engines within data science.

• Strong statistical modelling expertise, including hypothesis testing, inference, and regression analysis.

• Proficiency in Python data science libraries (e.g., pandas, scikit-learn, numpy, statsmodels).

• Advanced SQL skills, including experience with analytic functions, performance optimization, and data manipulation.

• Familiarity with multi-sided marketplaces or the online relationship space.

• Experience applying advanced statistical methods in academic or industry settings.

• Understanding of the machine learning development lifecycle, including MLOps and CI/CD.

• Hands-on experience deploying and maintaining machine learning models.

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