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Senior Data Scientist

  • Technology
  • Permanent
  • £140,000
  • #44763
  • About the role

    Senior Data Scientist

    £90,000-£120,000 +Bonus + Benefits

     

    MBNs client, a leading US-based technology organization that provides comprehensive, innovative, and fully integrated Business Performance software is in search of a Senior Data Scientist to join their team.

     

    The company works with corporate and private equity clients on complex decisions that involve strong analysis, extensive modeling, and advanced data analytics across a wide variety of industries.

     

    The primary responsibilities of the role will be to build statistical and ML software modules working alongside product managers, software engineers, and designers.

     

    This is a fully remote role, for a US-based client, with a team based in the UK, you will be working UK hours with some travel to the US when required.

     

    Responsibilities:

     

    • Identify business trends and problems through complex data analysis.

     

    • Interpret results from multiple sources using a variety of techniques, ranging from simple data aggregation to complex data mining.

     

    • Prepare data, implement data models and develop databases to support business solutions.

     

    • Develop novel ways to help business partners achieve objectives through analysis and modeling

     

    • Think outside the box to identify and test new sources of information that unlock new business value

     

    • Utilize machine learning to create repeatable, dynamic, and scalable models

     

    Requirements:

     

    • Bachelor’s degree in Data Science, Computer Science, Engineering, Math or Statistics Masters or Ph.D. in Machine Learning or related subject an advantage

     

    • Skilled in statistical analysis, modeling, clustering, and data mining techniques to identify trends and insights

     

    • Experience in the development and deployment of Machine learning models

     

    • Excellent Python and SQL skills

     

    • Experience in Spark and R is an advantage

     

    • Solid understanding of data warehousing and databases

     

    • Experience in data visualization tools

     

    • Experience in using version control software (Git, Azure DevOps)