Senior Data Scientist

Oliver Bernard

Greater London

On-site

GBP 65,000 - 85,000

Full time

14 days+

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Job summary

Oliver Bernard, a growing financial services organisation, is looking for a Senior or Lead Data Scientist. This pivotal role aims to enhance data-driven decision making by developing machine learning solutions across various business functions. The position offers a hybrid work model, with three days in the London office and two days remote.

Applicants should have 4+ years of data science experience, strong Python skills, and an ability to lead cross-functional teams. Excellent communication skills are essential to mentor junior members and drive innovation.

Qualifications

  • 4+ years' experience in data science or machine learning.
  • Strong Python skills with ML frameworks.
  • Experience deploying models into production environments.
  • Excellent communication and stakeholder management skills.

Responsibilities

  • Design, develop, and deploy machine learning and statistical models.
  • Lead end-to-end data science projects from discovery through production.
  • Collaborate with data engineering teams to build scalable data products.
  • Present findings to technical and non-technical audiences.
  • Drive innovation in predictive modelling, forecasting, NLP, and gen-AI.

Skills

Python
Machine learning frameworks
Statistics
Predictive modelling

Job description

A growing financial services organisation is seeking a Senior or Lead Data Scientist to help drive the next generation of data‑driven decision making across risk, trading, customer analytics, and operational excellence.

This is a high‑impact role where you will work closely with senior stakeholders, data engineers, analysts, and business leaders to develop and deploy advanced machine learning solutions that create measurable business value.

The position offers a hybrid working model, with three days per week in the London office and two days working remotely.

Key Responsibilities
  • Design, develop, and deploy machine learning and statistical models
  • Lead end-to-end data science projects from discovery through production
  • Partner with business stakeholders to identify opportunities for AI and advanced analytics.
  • Mentor junior data scientists and contribute to best practices across the team
  • Collaborate with data engineering teams to build scalable data products
  • Present findings and recommendations to technical and non‑technical audiences
  • Drive innovation in areas such as predictive modelling, forecasting, optimisation, NLP, and gen‑AI
Senior Data Scientists
  • 4+ years' experience in data science or machine learning
  • Strong Python skills and experience with ML frameworks
  • Solid understanding of statistics, experimentation, and predictive modelling
  • Experience deploying models into production environments
  • Excellent communication and stakeholder management skills.
Lead Data Scientist
  • 7+ years' experience in data science, including leadership or mentoring responsibilities
  • Experience influencing data strategy and roadmap decisions
  • Strong stakeholder management at senior leadership level
  • Ability to lead cross‑functional teams and drive project delivery
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