Digital Gurus are recruiting for a Data Scientist for our exclusive leading market research company.
Specialising in market research via online methods, operations now span across global surveys, qualitative research and syndicated data products. Our client are looking to hire due to continued success and growth across the company and offer great training and development from their world recognised US data science team.
With around 4 million members worldwide and a number of high tech in-house data products now being used by a number of key clients, our client generates an extensive amount of data from multiple data sources. international leading market research company with offices world-wide.
The successful scientists should look forward to creating statistical models and complex algorithms for extracting, testing, hypothesising and providing meaningful to an extensive list of clients. You will work closely with the diverse data science team promoting innovation and forward thinking using the latest technology to provide next level insights. Fantastic opportunities for continued growth and career progression are also on offer.
Required skills and experience
The successful candidate will have the following skills and experience:
• BSC/MSC/PHD In statistics, computer science, mathematics or related field. • Experience working with a broad range of statistical and machine learning techniques. • Extensive experience with at least one statistical language (R or Matlab preferred) • Proficiency in at least one programming language (Python or Java preferred) • Strong SQL skills
Compensation and Benefits
• Competitive Base Salary • Discretionary Bonus (equates to around 10% paid in October) • Yearly pay review • 25 days Holiday Entitlement • Contributory pension scheme (2% which is continuing to rise year on year) • Season ticket loan • Childcare vouchers • Cycle to work scheme
If you’re interested in applying for this position please contact firstname.lastname@example.org or call 0207 253 1054 Ext:106 for further details