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Senior Data Scientist

developrec
City of London
1 month ago
Applications closed

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Location:Hybrid – 3 days/week in London (Victoria)

Salary:~£110k (flexible depending on experience) can go higher or lower

Clearance:Not required upfront but must beclearable

Team:Reporting to the Software Team Lead, acts as de facto #2 in a growing data science team


Key Responsibilities

  • Design and buildcloud-based data analytics tools, not just consume them
  • Work onlarge-scale geospatial datasetsand complex structured/unstructured data
  • ApplyMachine LearningandAItechniques creatively to intelligence and analysis problems
  • Collaborate across disciplines: work closely with engineers, intelligence analysts, and non-technical stakeholders
  • Take ownership of delivery aspects alongside the software engineering lead
  • Providetechnical mentorshipto a junior but eager data science team


Tech & Skills Requirements

  • Python(strong requirement)
  • SQL and/or Tableaufor analytics and data visualisation
  • Strong grasp ofsoftware development principlesand how analytics tools integrate with backend systems
  • Broad data science experience, ideally including big data andgeospatial analysis
  • Creativity and lateral thinking in model design and data use


Ideal Background

  • 6–7+ years of experience in data science roles
  • Strong academic foundation– especially in mathematics, statistics, or computer science
  • Past involvement in building and delivering data products, not just conducting analysis
  • Experience mentoring or leading data scientists is a big plus
  • Curious, impactful, and comfortable interacting across technical and non-technical audiences
  • AI/ML-curiouscandidates encouraged



Why This Role Now?

  • Team capacity is growing rapidly, need for a senior voice to raise delivery and technical standards
  • Opportunity toshape the directionof data science at Prevail
  • Exposure tohighly sophisticated government and defence clients
  • Chance to work with a highly experienced leadership team, including Damien (CTO) and Ali (Data Delivery Lead)
  • Blend oftechnical influence and domain impact—ideal for someone interested in intelligence, defence, or public-sector data use


Interview Process

  1. Technical screening – presentation of a past project
  2. Final interview – in-person with Damien and Ali
  3. Offer

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