Vacancy

Senior Data Scientist

As a ColdAxom Senior Data Scientist, you’ll be working at the cutting edge of digital innovation, collaborating with the best business minds to shape the future of data use in leading organizations.

Job description

You will have at least twelve years of experience working with data science, machine learning and customer insights in a business environment, having gained a Masters or PhD in a quantitative discipline. Leading and building a data science team, you’ll use your skills to translate complex business challenges into analytics projects, working with our consultants to develop data-driven strategies and power game-changing business insights. You will make use of your proven communication skills both to effectively express mathematical and machine learning technicalities with cross-disciplinary teams, and clients from a variety of industries and fields of expertise.

 

Collaborating with colleagues from our high-impact quantitative technology teams, you will work to continually improve and extend the company’s data analytics capabilities, whether through developing repeatable standards and frameworks for data functions to be deployed across our functions, or driving the integration of the latest technologies and innovations in our consulting methods.

What we need

  • A Master’s degree in a quantitative discipline such as Computer Science, Engineering, Psychics, Mathematics or Economics. A PhD is an advantage
  • 12+ years’ experience working with data science, machine learning and customer insights in a business environment
  • Extensive experience with with statistical and data-mining techniques, and working with large and relational databases
  • Knowledge of machine learning frameworks and advanced analytics (such as R, Python and Scala)
  • A track record of effectively leading a data science team
  • A proven ability to independently develop data strategies for business
  • Exceptional verbal and written communication skills, with the ability to express complex technical and mathematical ideas effectively to non-technical colleagues
  • A team player, able to collaborate with people at all levels of an organization
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