Senior Data Scientist

Holborn Store Support Centre

Location

Holborn Store Support Centre

Hours

Full-time

Contract Type

Permanent

Salary

Competitive plus benefits

Areas of business

Data Science & Algorithms

Job ID

19000G2Y

Google Map of 33 Holborn London EC1N 2HT

Sainsbury's Supermarkets Ltd, 33 Holborn, London, EC1N 2HT

Predicting customer behaviour, scheduling driver deliveries and optimising depot layouts - these are a small selection of the breadth and complexity of problems we solve in the Applied Data Science & Machine Learning team. We are constantly seeking quantifiable opportunities and efficiencies by applying the scientific method to data about our customers, products and processes. The success of our recent projects has led to an increased demand for Data Science and production algorithms across the business. We now want to increase the capacity and impact of our talented team with an ambitious Senior Data Scientist who has experience of solving complex commercial problems pragmatically and at pace.

We report to the Chief Data Officer in Applied Data Analytics (ADA) and are a fully cross-functional team of scientists, engineers and product owners.

 
What I need to do
  • Solve complex business problems at pace using a variety of data science techniques.
  • Educate and train Data Science colleagues on best practices and help to improve the team’s operating model.
  • Design methodical Data Science experiments to select and tune algorithms and quantify performance in a commercially relevant way.
  • Tell engaging stories to senior stakeholders using non-technical language to influence change.
  • Scope, plan and manage delivery of concurrent projects to time and budget, delegating in a small team where necessary.
  • Develop and maintain relationships with key internal customers and product owners to increase awareness of Data Science and drive its uptake.
How I will succeed   
  • Manage delivery of concurrent Data Science projects to high quality at pace.
  • Translate business challenges into Data Science hypotheses, experiments and algorithms.
  • Raise awareness of Data Science.

What I need to know   

  • A quantitative advanced degree (e.g. statistics, math, science, computer science, engineering) that demonstrates sound technical background (PhD preferred).
  • An understanding and translation of retail business problems into feasible and practical algorithms.
  • Proficient with Python and Data Science stack (pandas, matplotlib, sklearn).
  • Design of Experiments (DoE).
  • Delivery with project management methodologies such as Agile or Kanban.
  • Familiarity with software engineering techniques including version control, build automation and testing.
  • Familiarity with AWS or other cloud platforms (Azure, GCP).
 
What I need to show
  • A history of quantifiable successes in Data Science delivery in a commercial environment.
  • Experience of delivering proof of concept projects as well as full-scale productionised algorithms.
  • Management of project demands, stakeholders, timelines and junior data scientists.
  • Business acumen, commercial awareness and judgement.
  • Curiosity, scepticism and attention to detail regarding data, data quality, samples, bias etc
Resources available to me   
  • Flexible compute on AWS and mainstream open source Data Science stack (Python, Spark etc)
  • Architects, product owners, information management, analytics, reporting, system SMEs, retail SMEs.
  • Conferences, training and a world class data science team to support developing your skills.
  • Flexible workspaces (white boards, libraries, collaboration spaces) located in the heart of the City.
What decisions I can make   
  • Choice of Data Science techniques and technologies to apply on a per project basis.
  • Communication of results and recommendations to influence business change.
  • Planning of your Data Science projects.
 
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