Senior Data Scientist - Analytics & Data Engineering Leader in Sheffield

Senior Data Scientist - Analytics & Data Engineering Leader in Sheffield

Sheffield Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Lithe Consulting Ltd

At a Glance

  • Tasks: Transform raw data into actionable insights and build robust data pipelines.
  • Company: Fast-growing consultancy specialising in data, AI, and advanced analytics.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Other info: Dynamic work environment with a focus on innovation and collaboration.
  • Why this job: Join a global team and make a real impact in the financial sector.
  • Qualifications: Experience in data science, analytics, and data engineering required.

The predicted salary is between 60000 - 80000 £ per year.

Lithe Consulting Ltd is a fast-growing international consultancy specialising in data, AI and advanced analytics for major financial institutions.

The Senior Data Scientist/Analyst will join a global banking client’s developer experience team to turn raw data into insights that drive strategic decisions.

The role blends data engineering and analytics, with a focus on building robust pipelines, applying advanced statistics, and delivering strategic reporting.

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Senior Data Scientist - Analytics & Data Engineering Leader in Sheffield employer: Lithe Consulting Ltd

As a leading manufacturer in advanced polymer-based processes, this company stands out as an excellent employer in Stone, UK, offering a supportive and collaborative work environment. Employees benefit from a strong culture of innovation and quality, with ample opportunities for personal and professional growth, making it a rewarding place to build a career as a 7.5t driver.

Lithe Consulting Ltd

Contact Details:

Lithe Consulting Ltd Recruitment Team

We think you need these skills to ace Senior Data Scientist - Analytics & Data Engineering Leader in Sheffield

Communication Skills
Problem-Solving Skills
SQL
Python
Automation
Data Engineering
Data Pipeline Development