Data Science Manager

Reporting to the General Manager - Data Science, ourData Science Managerwill oversee multiple Data Science teams, ensuring the delivery of high-quality solutions while remaining hands-on and detail-oriented. The role involves collaborating with senior business stakeholders and data teams to promote and evolve working methods, building advanced and measurable analytics and machine learning solutions that deliver tangible business value.

As ourData Science Manager, you’ll benefit from a range of perks including:

• Hybrid working (3 days in the office per week)
• Manager’s bonus
• Annual pay reviews

What you'll be doing:

With proven experience managing Data Science teams and taking projects from concept to production, you'll motivate teams to deliver high-quality Data Science, Machine Learning, and AI solutions aligned with the Roadmap. Your responsibilities include:

• Developing a deep understanding of the business areas your teams operate in and owning the proposed solution designs for key questions.
• Ensuring adherence to Data Science processes and ways of working, monitoring pod capacity, and optimizing utilisation.
• Remaining hands-on up to 40% of the time.
• Providing regular updates to the Data Science Management Team on delivery status, risks, and issues.
• Collaborating with Product Owners to prioritize tasks and resolve blockers.
• Storytelling and explaining solutions to stakeholders, with recommendations on business value realization.
• Coaching Lead Data Scientists, managing their performance, and supporting their career development. The team is based in Leeds and India, so remote management skills are essential.

What you'll have:

You should be highly numerate with a strong analytical background, capable of maintaining technical contributions while managing a team. Your qualifications include:

• Experience delivering data science initiatives from concept to production, including data preprocessing, feature engineering, and model evaluation.
• Strong communication skills for explaining complex concepts to business stakeholders.
• Proficiency in Python or similar tools, strong SQL skills, and experience with data visualization in tools like Tableau. Snowflake experience is desirable.
• Leadership experience in monitoring and developing data scientists.
• An understanding of data governance and quality assessment.
• Commitment to continuous learning and staying updated with new technologies and techniques.
• A methodical approach with attention to detail.
• Effective communication skills and ability to work across international teams and cultures.

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