What you'll do
As a Data Scientist and member of our Data Science team, you will play a pivotal role in developing in-house data science solutions that automate decision-making and provide valuable insights across our business. Working in cross-functional agile squads, you will contribute to the design and development of our data science products. You will deliver high-quality analyses that guide future development work and contribute to the team's continuous learning and upskilling efforts.
Why join us
* Wide impact. Deploying models here means improving the experience of millions of customers each day.
* Range of projects. Our projects vary from supply chain optimisation for Argos, predicting which substitution products online shoppers prefer, to helping our Sainsburys colleagues keep shelves full.
* Focus on data science work. Access to extensive, clean, and well-documented data in our industry-leading platform: spend your time building data science solutions, not cleaning datasets.
* Time for growth. 10% of time set aside for learning & personal development.
* Learning and mentoring. With a team of 50 data scientists, engineers and product managers, there are lots of opportunities to learn from colleagues through knowledge shares, pair programming, and communities of practice.
* Flexible working. Our team prioritizes hybrid working, both at home and in our central London Holborn office.
* Save on groceries. 10% discount on products across Sainsburys and Argos (Up to 15% for two days each week!)
Join us and be part of a team that encourages innovation, values your expertise, and prioritises work-life balance while delivering exceptional results.
What you need to excel in this role:
Essential:
* Educated to degree level, preferably within a mathematical, statistical or STEM discipline.
* At least 2-3 years’ experience in a Data Science role, using Python and SQL to deliver ML solutions in a corporate environment.
* You have experience of writing production grade code, as some of our systems involve real-time inference that affect millions of customer transactions.
* Strong presentation skills and business acumen, you regularly receive positive feedback about your ability to explain complex topics to non-technical audiences.
* You can feel comfortable working independently to achieve results using your own guidance and initiative.
* Strong statistical foundation in concepts such as regression, hypothesis testing, experimental design.
* Highly proficient in Git best practices.
Desirable:
* A relevant Post-graduate degree (Masters or PhD) within a mathematical, statistical or other STEM discipline.
* Experience delivering value on ML projects in retail (in areas such as price elasticity or differential pricing) or supply chain (demand forecasting, optimisation).
* Our products rely heavily on mathematical optimisation, so experience in this area is highly desirable.
* Experience working with and applying causal inference.
* Experience working with and deploying Graphical Neural Networks [GNNs] in industry.
* Experience working within in a cross functional team.
Some of the other benefits Sainsburys provide:
* 25 days holiday per year, with the option to buy up to an additional weeks holiday.
* Up to 26 weeks’ pay for maternity or adoption leave and up to 4 weeks’ pay for paternity leave.
* Up to 10% bonus based on performance.
* Cycle to work scheme.
Please see www.sainsburys.jobs for a range of our benefits (note, length of service and eligibility criteria may apply).
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