- Company: Get A Job.ai
- Location: London
- Salary: Pay not listed
Website Get A Job.ai
Represented by Get A Job.ai
About This Opportunity
We are representing a confidential technology client in London who is seeking a Data Science Manager to lead analytical strategy and team development within their fast-growing marketplace platform. This is an excellent opportunity to shape data-driven decision-making across product, commercial, and operational functions while managing and mentoring a talented team of data scientists.
Our client uses a flexible placement approach—rather than hiring for one fixed team, they assess your strengths, interests, and development goals during the interview process, then align you to the right scope based on your background, performance, preferences, and current business needs. You'll have the opportunity to meet your proposed team before any offer is finalized.
Responsibilities
- Own the analytical direction and measurable impact for a product or business area within the marketplace ecosystem
- Lead and develop a high-performing team of data scientists, supporting their career growth and technical development
- Set analytical priorities and determine which problems are worth solving, ensuring data science work translates into actionable product and commercial decisions
- Remain hands-on while managing your team, maintaining technical credibility in experimentation, causal inference, or applied machine learning
- Partner with Product, Engineering, Operations, Marketing, and Finance teams as a strategic thought partner
- Establish standards for analytical rigour, prioritisation, and impact across complex metrics and competing stakeholder priorities
- Drive work across various domains including customer retention, pricing strategy, personalisation, or acquisition depending on team placement
What We're Looking For
- Proven experience line managing data scientists and supporting their professional development
- Strong background as a senior individual contributor with hands-on expertise in experimentation, causal inference, or applied machine learning
- Demonstrated ability to identify high-impact opportunities and translate insights into clear strategy and execution plans
- Confidence working with senior stakeholders and communicating complex technical concepts to non-technical audiences
- Comfort operating in fast-moving, ambiguous environments where prioritisation and judgment are as critical as technical skill
- Track record of delivering measurable business impact through data science initiatives
- Experience working in marketplace, e-commerce, or consumer technology environments is valuable but not required
How We Work With You
When you apply through Get A Job.ai, our talent team will review your profile and conduct an initial screening to understand your experience, strengths, and career interests. If there's a strong match, we'll coordinate your interview process with our client, which will include technical assessments and stakeholder conversations designed to find the right team fit.
We'll support you throughout the process and facilitate introductions to potential teams before any final decisions are made. Please apply only through Get A Job.ai—do not contact the client directly, as we are managing this search exclusively.
Pay
Compensation details will be discussed during the screening process based on your experience level and the specific team scope.
Equal Opportunity
Get A Job.ai is committed to inclusive recruitment practices. We welcome candidates from all backgrounds and will work with our client to ensure an equitable interview process. If you require any accommodations during the application or interview process, please let our team know.
Apply with Get A Job.ai
A recruiter will review your profile and submit you to the client. Do not contact the client directly.
Apply through Get A Job.ai. A recruiter will review your profile and submit you. Do not contact the client directly.
Apply through Get A Job.ai. A recruiter will review your profile and submit you.
Explore Get A Job.ai online
Working in London, UK
Weather right now in London, UK: checking… · Local time: · Air quality: · Daylight: · UV index: · Wind: · Pollen:
London is the capital and largest city of England and the United Kingdom, with a population of 9.1 million people in 2024. Its wider metropolitan area is the largest in Western Europe, with a population of 15.4 million. London stands on the River Thames in southeast England, at the head of a 50-mile (80 km) tidal estuary down to the North Sea, and has been a major settlement for nearly 2,000 years. Its ancient core and financial centre, the City of London, was founded by the Romans as Londinium and has retained its medieval boundaries. The City of Westminster, to the west of the City of London
England is a country that is part of the United Kingdom. It is located on the island of Great Britain, of which it covers about 62%, and more than 100 smaller adjacent islands. England shares a land border with Scotland to the north and another land border with Wales to the west, and is surrounded by the North Sea to the east, the English Channel to the south, the Celtic Sea to the south-west, and
Nearby green space: 12 parks within 1.5km — closest is Whitehall Garden (364m). via OpenStreetMap
Nearest public transit: Charing Cross (station, 41m). via OpenStreetMap
- Elevation 18m (59 ft)
Source: Wikipedia (state)
Job details above are provided by the employer/source. The sections on this page are compiled from public data sources with AI assistance.
Accommodations: if you need a workplace accommodation to apply for or perform this job, see ADA.gov or EEOC.gov for guidance on your rights and how to request one.
Listing facts
- Role Data Science Manager
- Employer Get A Job.ai
- Location London
- Type Full Time
- Pay (from listing) Pay not listed
- Posted September 20, 2026
- Apply by October 20, 2026
- Overview Full job description on this page (499 words)
Facts above come from this job record on Get A Job.AI — not copied from third-party review sites.
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We only show facts we can ground in public sources (Wikidata, O*NET, news/discussion links, or this listing). We do not invent Glassdoor-style ratings, salaries, or testimonials when data is thin. Use the listing facts, occupation context, and related openings below while we continue researching.
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Occupation family: Data Science Manager
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