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Data Scientist

Posted 7 days ago

  • London, Greater London
  • Any
  • External
Data Scientist – London

Like the look of this opportunity Make sure to apply fast, as a high volume of applications is expected Scroll down to read the complete job description.

Consultancy | Retail, Machine Learning, and Pharmaceutical Projects

1-2 Years Experience | Exceptional Academic Background Required

We are currently seeking a talented Data Scientist for an exciting opportunity with a leading consultancy based in London . This firm is at the cutting edge of data-driven projects across multiple industries, including retail , pharmaceuticals , and machine learning innovation.
As a Data Scientist in this dynamic team, you will play a key role in delivering impactful insights and advanced analytics solutions for their high-profile clients. Your work will help businesses optimize operations, predict consumer behaviour, and drive innovation in healthcare through machine learning models and data-driven strategies.

Why Apply?
Join a consultancy known for high-impact projects in rapidly evolving sectors.
Gain exposure to cutting-edge machine learning applications.
Collaborate with leading experts in retail analytics and pharmaceutical data science .
Enjoy a fast-paced, challenging environment with opportunities for professional growth.

Key Responsibilities:
Work with diverse data sets to solve business problems in the retail and pharmaceutical sectors .
Develop, train, and deploy machine learning models to generate actionable insights.
Collaborate with cross-functional teams to deliver client-focused solutions.
Interpret complex data, identify trends, and present findings to non-technical stakeholders.
Stay at the forefront of data science trends and tools, applying them to real-world challenges.

Requirements:
1-2 years of professional experience in data science, with exposure to consultancy or similar client-facing roles.
Strong academic background , ideally with a degree (or higher) in a relevant field (e.g., Mathematics, Statistics, Computer Science, or Engineering ).