Senior Data Scientist - Leeds

Recruiter
Harnham
Location
Leeds, UK
Salary
Competitive
Posted
19 Jul 2019
Closes
27 Jul 2019
Ref
1201539130
Contract Type
Permanent
Hours
Full Time
Senior Data Scientist | Online Brand
Leeds
£65,000

Harnham are working exclusively with a leading online brand who are looking to add a Data Scientist to their newly formed data science and machine learning team.

The role will see you utilising your expert skills Python/R and big data (Hadoop/Spark) to carry out various machine learning projects on real world commercial problems.

At this company you will have the opportunity to work with cutting-edge big data technologies, as well as having the opportunity for more experimental analysis into several incoming data sources for the company.

Projects will include: forecasting, optimisation, automation, pricing, customer and marketing.

The Role - Senior Data Scientist

You will be:
  • Working closely within a team of 5 Data Scientists and Engineers to influence the direction of the company through actionable data-driven insight
  • Applying statistical/machine learning techniques to recognise key trends within vast sets of data
  • Driving business decisions with your recommendations to senior stakeholders
  • Mentoring junior members of the team to help develop their technical skills
  • Delivering high-impact models to deployment

Experience - Data Scientist
  • M.Sc. or Ph.D. in: Statistics, Physics, Applied Mathematics, Computer Science, Engineering, etc.
  • Experience using R or Python and SQL.
  • 2+ years experience statistical/machine learning models
  • A keen interest for empirical research and problem solving with data

Benefits

As a Data Scientist you could earn up to £65,000 + benefits package

How to Apply

Please register your interest by sending your CV via the Apply link on this page. For further details or to enquire about other roles, please contact Nick Mandella at Harnham.

KEYWORDS

R, Python, Spark, Hadoop, SQL, analytics, insight, Data Science, Data Scientist, customer, machine learning, statistics, insights, marketing.

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