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Senior Data Scientist

Division / Dept
Marketing / Analytics

Location
London (Holborn) and Home

Reporting to
Data Science Manager

In a Nutshell
We have ~90 Analysts and Data Scientists within Marketing focusing on the broad spectrum of customer analytics, and we have 30 million known customers to play with.

This sub team is focussed on building our personalised customer decisioning engine, known internally as Krang. We are ultimately the brain behind an optimised selection of offers, mechanics and discounts used to drive desired customer behaviour. We do Marketing’s 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 Connecting to our Customers

You will be delivering, analysing, evolving and innovating: efficient, accurate and pacey delivery of code that drives both loyalty and commercial value.

What you need to do
Specifically, this Senior Data Scientist role will be supporting the team in the following:

• Lead on the technical development of algorithms and pipelines that will deliver against Krang’s strategic objectives.
• Iterate our “Next Best Message” capability, identifying the most appropriate techniques to enable continuous learning, the expansion of NBM to novel mechanics, audiences and channels and the transition towards real-time decisioning.
• Ensure the analytical models we develop and deploy align to engineering principals around efficiency, on-demand, and automation.
• Become the recognised expert in the analytical tooling used for Krang Decisioning and be opinionated on future approaches.
• Support Junior Data Scientists in defining projects and analytical approaches, as well as reviewing their code.
• Willing to lead a sub-team on tactical projects working with stakeholders to define goals and junior data scientists to deliver impact at pace.
• Innovate on our current decisioning logic and offers, with a flexibility between analytical perfection and business requirements.
• You will demonstrate store closeness and support our stores during peak trading periods.
• You will contribute to our vibrant Data and Analytics community of over 800 colleagues

What you need to know and show

• At least 5 years’ experience in a data science role
• Extensive programming ability across Python 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.
• Excellent analytical skills and statistical foundation in concepts such as predictive modelling, clustering and time series analysis.
• Knowledge and experience of: model building, statistical analysis, hypothesis generation, experiment design and execution, either gained through an advanced quantitative degree, or equivalent practical experience in an industry setting.
• Experience using cloud platforms such as AWS or Azure and associated ML tools is desirable but not essential.
• A curious problem solver who is proactive at developing their technical skills.
• Business acumen and commercial awareness
• Ability to articulate required outcomes and present analytics work succinctly
• Independence to achieve results and work under your own guidance and initiative
• Able to have effective technical conversations with data engineers
• Curiosity, scepticism and attention to detail regarding data quality, samples, bias and ethics
• A strong awareness and understanding of technology trends and direction in Analytics
• You will champion our valued behaviours: ‘Own it’, ‘Make it Better’ and ‘Be human’
• Good team player with an ability to support in the development, training and mentoring of others

What decisions I can make including budget

• Devise test and learn campaigns for Krang’s decisioning on offers
• Devise new offer types and decisioning pipelines
• Recommend the approach to delivering the business outcomes of Krang
• Decide the most appropriate way to approach key analysis questions, and how to resolve statistical issues
• Develop and present recommendations to the business based on data and analytics
• Contribute to discussions with senior stakeholders

Support we will provide

• A vibrant team to bounce ideas off and to support you with specialised knowledge (technical, stats/Data Science or business processes)
• Mentoring from Data Science Managers
• Cloud computing infrastructure (AWS)
• Automation, and orchestration support from our integrated engineering team within Krang

What we offer

• Colleague discount across the multi-brands – Sainsbury’s, Argos and Habitat
• Holiday allowance
• Healthcare
• Bonus scheme
• Pension plan
• Special offers on gym memberships, restaurants, holidays, retail vouchers and more

Flexible working and job share conversations are encouraged. We’re proud to be an equal opportunities employer that champions a diverse and inclusive culture. If you’re reading this, even if you’re not 100% sure you’re there with your experience, we’d still love to hear from you.
Work-life balance is important to us, so we offer our colleagues as much flexibility as possible in line with the needs of their role. We trust them to decide how, where and when they work, combining remote and collaborative working with a flexible approach to hours, giving them plenty of time and space for life outside of work whilst delivering against our business goals.

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