Data Scientist – training provided!

Data Scientist – Grocery Retailer

Training available for Analysts to transition!

– Culture of learning, development and promotion

– Varity of project work, parting with FMCG suppliers and wider retail stakeholders

– Advanced technical analytics environment and data science community

Location: London / wfh 3 days per week

Salary: £55k – £60k plus 10% bonus

Our client has one of the most established, mature and advanced analytics functions in the grocery retail industry. As one of the first major players to embrace and successfully roll out a loyalty card scheme, their heritage in data driven decision making makes for an amazing learning environment.

Working amongst a huge data community, and in turn a specialized Data Science function, you have the opportunity to diversify, grow and develop both your technical and softer skills, leveraging their advanced training and development programmes. They offer individuals opportunity to grow in different directions and realise ambitions they might not have had the chance to do so before.

Reporting into the Data Science Manager – someone who joined as a junior and has grown herself through the ranks over the years, you will work on their unique decision engine which delivers highly personalized experiences for loyalty card customers using the digital app, as opposed to traditional batch campaigns for particular customer segments; you’ll work closely with data engineers to build out the decisioning platform and capabilities, developing algorithms which inform offers for individual customers. She is looking for either out and out machine learning experts or people who have a grounding in customer analytics, with a desire to move into a role which offers a chance to develop or leverage these skills in tandem.

Technically they operate a Snowflake environment, leveraging SQL to extract data and R and Python for modelling and statistical analysis, building code and tools. They are also about to implement Microstrategy and Tableau for data visualization.

Experience required:

· Educated to at degree level in a numerate subject: Mathematics, Machine Learning, Computer Science, Statistics, Chemistry, Physics, Engineering etc.

· A strong background in advanced statistical, predictive analytics and modelling, ideally with skills in leveraging machine learning techniques such as building recommendation engines for work around personalisation and optimisation

· Ability to work with data from multiple sources, including digital, to provide robust solutions and insights

· Excellent skills with either Python or R AND SQL

· Passionate about embedding data at the heart of decision making, driving insights led thinking

· Some experience in stakeholder management and a desire to work in a business facing capacity