×
Register Here to Apply for Jobs or Post Jobs. X

Lead Data Scientist

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Zopa Bank
Full Time position
Listed on 2026-06-09
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Data Analyst, Data Scientist, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 GBP Yearly GBP 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

A Day In The Life

  • You will be responsible for all machine learning and statistical models across the company, with applications in credit decisioning, fraud detection, customer engagement and operations strategy.
  • You will drive innovation using new data sources for the benefit of our customers and business.
  • Reporting to our Head of Data & Analytics, you will define the roadmap and priorities for the Data Science Team in alignment with the company strategy.
  • Lead and coordinate the cross-functional efforts to deliver data science related projects ensuring a high standard of quality and governance of the models and data products.
  • You will also be passionate about furthering our competitive advantage in data science by leading new R&D into our data science methods and technology stack and will empower the team to develop their capabilities.
You Are
  • Passionate about innovative data and machine learning applications to drive positive outcomes for our customers and business
  • Excited by driving many exciting data projects at both a strategic and tactical level
  • A great mentor to a team of talented data scientists and the broader analytics community
You Will Have
  • Strong analytical and problem solving skills
  • Hands on experience with the PyData tech stack and mainstream machine learning frameworks
  • In-depth knowledge of ML algorithms from linear models to deep learning
  • Extensive knowledge of the full ML development lifecycle including:
    experiment design
    , feature engineering
    , HPO
    , validation
    , deployment and monitoring
  • Extensive experience of statistical analytics
    , data visualisation and storytelling
  • Experience of managing data scientists and leading ML projects into production
  • Excellent communication and collaboration skills to partner with product owners and business heads
  • Hands on experience of working with cross functional teams
It Would Be Great If You Also Had
  • Experience with Cloud services (ideally AWS
    ) for data scientists
  • Knowledge of microservice architecture and use of CI/CD pipelines for the deployment of data science products on real-time platform
  • Knowledge in survival analysis
    , causal inference and explainable AI
To Thrive Here, You’ll Need To
  • Champion our customers
    . Whatever your role, you’ll be close to our customers. We care passionately about doing the best for them.
  • Help us make fearless choices. Our environment is fast-paced, agile and open. You’ll solve interesting and challenging problems, and be trusted and empowered to bring your ideas to life.
  • Walk the talk. Like us, you’ll be honest, stick to your promises and face the tough moments head-on.
  • Win smarter. You’ll be always on the lookout for a better way of doing things, going beyond ‘good enough’ and welcoming different points of view.
  • Be in it together. You’ll join an ambitious, diverse and all-round approachable team with a mix of ideas and talents who inspire each other to be better every day.
#J-18808-Ljbffr
Note that applications are not being accepted from your jurisdiction for this job currently via this jobsite. Candidate preferences are the decision of the Employer or Recruiting Agent, and are controlled by them alone.
To Search, View & Apply for jobs on this site that accept applications from your location or country, tap here to make a Search:
 
 
 
Search for further Jobs Here:
(Try combinations for better Results! Or enter less keywords for broader Results)
Location
Increase/decrease your Search Radius (miles)
0
200
Filters
Education Level
Experience Level (years)
Posted in last:
Salary