Sunday , February 5 2023

Argos Warehouse Jobs – Data Scientist

Website Argos

Job Description:

This sub team is carrying out pure development work. We do our most complex modelling, forecasting, tool building, and insights-generation and we use agile working methodologies to make sure we’re prioritising the right outcomes. Our Data Scientists are critical in supporting Sainsbury’s to be successful in our corporate strategy of Knowing Our Customers Better Than Anyone Else. You will be delivering, analysing, evolving and innovating: efficient, accurate and pacey delivery of code that drives both loyalty and commercial value is the order of the day.

Job Responsibilities:

  • Pairing with Data Engineers to productionise our outputs.
  • Understanding known behaviour and trends across both Sainsbury’s and Argos..
  • Developing an analytical view of our customers through life-time value modelling, doing this across each individual mission and across the Group.
  • Being the first port of call when it comes to leveraging our Group-wide dataset and feeding requirements into our Single Customer View data team.
  • Being an active, participating member of the wider Analytical community at Sainsbury’s.
  • Understanding how customers see value and the profitability of an individual’s relationship and sensitivity with price, promotions, Nectar points and offers in order to consider our levers for growth.
  • Building, maintaining and iterating customer segmentations.
  • Identifying new approaches and methodologies develop how we do things.
  • Ensuring every bit of code and output we deliver is documented, repeatable, scalable and sharable via appropriate, collaborative tools (e.g. Git, Confluence).

Job Requirements:

  • Independence to achieve results and work under own guidance and initiative
  • Able to have effective technical conversations with data engineers.
  • Ability to articulate required outcomes and present analytics work succinctly.
  • Experience using cloud platforms such as AWS or Azure and associated ML tools is desirable but not essential.
  • Curiosity, scepticism and attention to detail regarding data quality, samples, bias and ethics.
  • Strong analytical skills and statistical foundation in concepts such as predictive modelling, clustering and time series analysis.
  • At least 2 years’ experience in an analytical role (analyst or data scientist).
  • Business acumen and commercial awareness
  • A curious problem solver who is proactive at developing their technical skills.
  • Extensive programming ability across Python or R and strong ability to use SQL, with a proven experience of analysing data in a corporate environment.
  • Experience using Jupyter notebooks and version control within a team using Git.
  • An awareness and understanding of technology trends and direction in Analytics.

Job Details:

Company: Argos

Vacancy Type:  Full Time

Job Location: London, England, UK

Application Deadline: N/A

Apply Here