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Data Science Manager

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London
3 weeks ago
Applications closed

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Data Science Manager

Data Science Manager

Data Science Manager

Data Science Manager

Data Science Manager

Data Science Manager

Our purpose is to make great financial decision making a breeze for everyone, and that purpose drives us every day.
It’s why we’re on a mission to create an automated quoting engine, with the simplest of experiences, wrapped in a brand everyone loves!
We change lives by making it simple to switch and save money and that’s why good things happen when you meerkat.

We’d love you to be part of our journey!
As a Data Science Manager, you’ll lead a team of data scientists focused on building applied AI solutions that drive measurable business impact, from intelligent personalisation to optimised customer journeys and decision systems. A hybrid role encompassing strong leadership as well as technical design, writing high-quality code, and shaping our approach to ML governance and standards.

Everyone is welcome!
We have a culture of creativity. We approach our work passionately, improve constantly and celebrate our wins at every turn. We are an inclusive workplace and our employees are comfortable bringing their authentic, whole selves to work. Everyone is welcome. Be you.
This means we’re excited to hear from people with a range of skills, experiences and ideas. We don’t expect you to tick all the boxes, but would love to hear what makes you great for this role.

Some of the great things you’ll do:
Team Delivery & Technical Oversight
• Lead a team of data scientists delivering ML and analytics initiatives across product domains
• Guide technical direction, ensuring high standards in modelling, experimentation, and reproducibility
• Balance people leadership with technical contribution, including design, peer reviews, and hands-on coding
• Drive delivery with a focus on sprint planning, scoping, estimation, and accountability to timelines
• Track progress, remove blockers, and ensure timely delivery of high-impact solutions
Stakeholder Collaboration
• Work closely with cross-functional leads to align roadmaps and prioritise high-impact opportunities
• Translate strategic goals into well-scoped projects and ensure they are resourced and delivered effectively
• Advocate for data science in planning, helping stakeholders understand what’s possible
People Development
• Coach and mentor your team through regular feedback, career conversations, and technical support
• Support hiring, onboarding, and development initiatives across data science
• Contribute to a high-performing, inclusive, and curious team culture
Platform & Standards
• Champion scalable, responsible, and maintainable approaches to deploying AI in production
• Collaborate on improving workflows, observability, and documentation standards
• Contribute to model governance practices including validation, explainability, and testing

What we’d like to see from you:
• Proven leadership of data science teams and delivery of applied ML solutions
• Hands-on expertise in Python, modelling, and statistical methods
• Ability to balance technical contribution with people and project leadership
• Experience working in agile environments with clear accountability to delivery timelines
• Strong stakeholder influence and communication skills
• A degree in a quantitative discipline or equivalent experience applying ML in production

There’s something for everyone.
We’re a place of opportunity. You’ll have the tools and autonomy to drive your own career, supported by a team of amazingly talented people.
And then there’s our benefits. For us, it’s not just about a competitive salary and hybrid working, we care about what matters to you. From a generous holiday allowance and private healthcare to an electric car scheme and paid development, wellbeing and CSR days, we’ve pretty much got you covered!

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National AI Awards 2025

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