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Senior Data Scientist

Location:
London
Salary:
£80000 - £100000 per annum
Job Type:
Permanent
Date Posted:
about 19 hours ago
Expiry Date:
23/02/2025
Job Ref:
BBBH110084092501_1736419153
Start Date:
09/01/2025
Contact:
Niall Wharton
Contact Email:
niall.wharton@xcede.com
Specialism:
Marketing & Insight AnalyticsAI & Machine LearningMachine LearningDataData ScienceDigital & Product Analytics

Senior Data Scientist

x3 days a week in office

Xcede are delighted to be working with one of the most exciting Fintech's in Europe. The organisation has over 3 million customers using their Products every day, and Data is at the very core of their offering. The Head of Data is a former Machine Learning Engineer / Full-Stack Data Scientist who has helped build some incredible teams in the past, and they're currently in the process of doing the same again.

The company are now looking to onboard another Senior Data Scientist who ideally has commercial experience when it comes to building Recommender Systems. For Product relatability purposes, it would be fantastic if someone has a background in dealing with Risk modelling for financial products, too.

Responsibilities

  • Work with senior colleagues and internal stakeholders to spot business opportunities to leverage data science techniques and add business value.
  • Build relevant statistical / machine learning models related to said projects.
  • Build RecSys / Recommendation Engines / Recommender Systems
  • Contribute to the AB testing framework for this huge organisation from day one.
  • Communicate findings effectively to stakeholders to encourage adoption.
  • Find brilliant new ways of tackling their problems - innovation will be a key part of the job.

Requirements

  • A relatable STEM / Computer Science degree (ideally MSc and above but all backgrounds considered).
  • Excellent Python & SQL skills.
  • Strong Machine Learning & Statistical knowledge
  • Commercial Recommendation Engine experience
  • Commercial A/B testing experience
  • Software Development best practice approach (CI/CD experience, etc.)
  • A bonus would be any work around financial risk modelling, loans, etc.

If this role interests you and you would like to learn more, please apply here or contact us via niall.wharton@Xcede.com (feel free to include a CV for review).

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Niall Wharton

Niall Wharton

Specialisms: Data, Data Engineering, AI & Machine Learning, AI Research, NLP, Machine Learning, Computer Vision, Generative AI, AI Engineering
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