Data Scientist

Posted 14 January by Harnham
Easy Apply

DATA SCIENTIST

CHELTENHAM

£40,000 - £50,000

*SAS, SQL, R, Python*

Work closely with the Head of Data to lead advanced analytics projects, shape the way data is used within the business and champion data driven decisions.

THE COMPANY

A specialist in the financial sector, this business is known for its innovative products that continually see industry and consumer awards. Owing this success to a data centric mindset and analytics driven strategy this company is now looking to develop its pricing team to ensure it stays at the top of the market.

  • Open and collaborative culture
  • Great training opportunities
  • Fantastic social environment

THE ROLE

As Data Scientist you will use your advanced analytics skills in SQL and R/Python/SAS to explore the potential use of new enriched data within the finance sector. Using statistical modelling and machine learning techniques you provide new and invaluable insights into opportunities customer engagement, business performance and growth opportunities.

  • Predictive analytics
  • Getting the best value from the data available
  • Transforming the data science capacity

YOUR SKILLS/EXPERIENCE

The successful Data Scientist will have:

  • A strong background in analytics in a commercial setting
  • Strong coding ability in SQL and R/Python/SAS with experience building predictive models and applying machine learning techniques
  • A degree or higher in a numerical discipline such as mathematics or economics
  • Excellent communication skills
  • The ability to communicate clearly with technical and nontechnical audiences

BENEFITS

  • A salary of up to £50,000 dependant on experience
  • The chance to work in a fast paced and vibrant business
  • A comprehensive bonus and benefits package
  • Chance to learn new tools

HOW TO APPLY

Please register you interest by sending your CV to Sian Taylor via the apply link on this page

Required skills

  • sql
  • finance
  • python
  • sas
  • machine learning
  • data science

Reference: 37028986

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