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Senior Data Scientist

Harnham - Data & Analytics Recruitment
Posted 5 days ago, valid for 12 days
Location

London, Greater London W12 9JB, England

Salary

£60,000 - £72,000 per annum

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Contract type

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

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  • The position is for a Senior Data Scientist with a salary range of £55,000 to £72,000 plus a 12% bonus, based in West London and requiring three days a week in the office.
  • The role involves analyzing FMCG and retail customer data using advanced modeling techniques with a tech stack that includes Python/PySpark and SQL.
  • Candidates should have experience in customer data and statistical modeling, as well as advanced commercial experience with SQL and Python/PySpark.
  • Experience in the FMCG/retail industry and consultancy environments is desirable, along with excellent communication skills and a degree in a STEM subject.
  • This opportunity allows the Senior Data Scientist to work with large clients to enhance their understanding of customer behavior through advanced technology and statistical modeling.

SENIOR DATA SCIENTIST

£55,000-72,000 + 12% BONUS

WEST LONDON 3 DAYS A WEEK

This is an excellent opportunity to work in a leading customer analytics company who own one of the most efficient Data Science and Consultancy functions. As a Senior Data Scientist, you will be working to break down and analyse clients FMCG / retail customer data using a tech stack that is based around Python/PySpark and SQL.

THE COMPANY

As a Senior Data Scientist in this company, you will get to work with some massive clients within the FMCG / retail sectors using advanced modelling to understand their customer base. This is an opportunity to work amongst talented individuals across a wide range of projects in a fast-paced environment.

THE ROLE

As a Senior Data Scientist, you will be working with leading retailers in the FMCG / retail sector as they aim to improve their knowledge and understanding of their customer base. You will be using advanced modelling techniques such as regression, propensity, churn and chaid analysis using a tech stack based around Python/PySpark and SQL.

You will be working on a consultancy basis, using statistical modelling to solve client's problems using your excellent problem-solving skills. As well as this, you will be using advanced technology to increase clients understanding of their customers.

YOUR SKILLS AND EXPERIENCE

The successful Data Scientist will have the following skills and experience:

  • Experience working with Customer Data and statistical modelling
  • Advanced commercial experience using SQL, Python/PySpark and Hadoop to build models such as Propensity and Clustering (K-means, Random Forest)
  • Commercial experience within the FMCG / Retail industry is desirable
  • Excellent communicational skills
  • Experience working in a consultancy environment is desirable
  • Educated to degree level in a STEM subject or similar

THE BENEFITS

The successful Data Scientist will receive a salary between £55,000 and £72,000. In addition to this, they shall receive an extensive benefits package, including your birthday off, early Friday finishes and 12% bonus.

HOW TO APPLY:

Please register your interest by sending your CV to Dylan Butcher via the Apply link on this page.

Apply now in a few quick clicks

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.