Data Scientist

Permanent
Technology
Junior
Data Science, Data Scientist, Machine Learning, ML
London
London
£40000 - £50000 per annum

Data Scientist Opportunity in London

Position Overview:

Join our dynamic team in shaping the data strategy for a prominent European retail chain. We're seeking a proactive and adaptable Data Scientist who is passionate about leveraging data science to address diverse business challenges.

Responsibilities:

  • Dive into extensive and intricate datasets to gain comprehensive insights
  • Extract, interpret, and communicate findings effectively with the team
  • Develop predictive models using statistical and machine learning methods
  • Validate and refine models for accuracy and applicability
  • Stay updated on industry trends and advances in data science

Requirements:

Essential:

  • 1-2 years of experience in a data-focused industrial environment
  • Degree in Mathematics, Statistics, or a related field, with a strong academic track record
  • Exceptional problem-solving and analytical abilities
  • Proficiency in Python, particularly with the pandas library
  • Strong communication and collaboration skills
  • A proactive attitude towards learning and development

Desirable:

  • Experience with SQL for data manipulation
  • Familiarity with time series modeling and forecasting
  • Exposure to Cloud Environments like GCP or AWS
  • Knowledge of Bash, Unix, and version control systems like Git
  • Understanding of Object-Oriented Programming principles

About Us:

Our client was founded by experts in machine learning and industry veterans, is dedicated to unlocking the value of data and technology. We specialize in applying cutting-edge research to solve complex challenges, with a focus on retail, pharmaceuticals, biotech, and law.

What they offer:

  • Opportunities for creative expression in tech and science
  • Exposure to impactful AI projects with direct client impact
  • Influence on customer value and AI strategy
  • Chance to see your work deployed at scale
  • Ownership and autonomy over projects
  • Supportive environment with experienced mentors
  • Contribution to the long-term growth of a dynamic company

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