Data Scientist, Financial Services β€” Hybrid London

Data Scientist, Financial Services β€” Hybrid London

Full-Time 50000 - 70000 Β£ / year (est.) No working from home possible
Oliver Bernard

At a Glance

  • Tasks: Develop advanced analytics and models to tackle complex business challenges.
  • Company: Join a global consulting leader with a focus on innovation.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Collaborative team environment with diverse projects across various industries.
  • Why this job: Make a real impact in Financial Services while working with cutting-edge data technologies.
  • Qualifications: Experience with Python, R, SQL, SAS, and strong statistical skills required.

The predicted salary is between 50000 - 70000 Β£ per year.

Oliver Bernard, in partnership with a global consulting leader, is seeking Data Scientists to join their Data & Analytics team in London.

You will develop advanced analytics and models to solve complex business problems and work on projects across Financial Services, Energy, and Retail.

The role requires experience with Python, R, SQL, SAS, strong statistics, and the ability to translate data into clear business insights.

#J-18808-Ljbffr

Data Scientist, Financial Services β€” Hybrid London employer: Oliver Bernard

At Oliver Bernard, we pride ourselves on being an excellent employer that fosters innovation and collaboration in the tech space. Our hybrid work model allows for flexibility while still providing opportunities for meaningful face-to-face interactions in our London office. We are committed to employee growth, offering continuous learning opportunities and a supportive work culture that values creativity and teamwork, making us an ideal place for passionate Full Stack Engineers to thrive.

Oliver Bernard

Contact Details:

Oliver Bernard Recruitment Team

We think you need these skills to ace Data Scientist, Financial Services β€” Hybrid London

Communication Skills
Problem-Solving Skills
Python
SQL
Automation
Attention to Detail
Data Engineering