Our Data Science team is responsible for developing in-house AI solutions that assist/automate decision-making across the business. We work closely with our allied product, analytics, visualisation, and engineering teams, as well as our business stakeholders to deliver data products that deliver demonstrable business value. We are the business's machine learning, simulation, and optimisation subject matter experts

Responsibilities of the role: 

Technical contribution

• Collaborate on cross-functional deliveries with colleagues from our allied teams: Product, Analytics, Science, Visualisation and Engineering
• Contribute to the design of data science solutions
• Contribute to the Agile development of our data science products 
• Conduct code reviews, ensuring team standards are met
• Design and deliver analyses that guide future development work

Coaching, Mentoring, and Team Building

• Identify opportunities for team upskilling
• Take ownership of one of our strategic initiatives: i.e. ML Ops, coding standards, training etc. 
• Help deliver team training sessions
• Pair program with other data scientists

Essential requirements

• Practical experience building data science products in a commercial setting
• Deep technical knowledge in one or more data science topics: machine learning, simulation, forecasting, optimisation, operations research, etc.
• Strong proficiency with Python, SQL, and the data science stack (pandas, NumPy, scikit-learn, etc.)
• Cloud deployment experience (ML Ops) - Ideally on AWS or Azure - relevant certifications desirable

Desirable experience

• Experience working in an Agile development team
• Research background in a highly numerate field
• Open-source contributions 

We’d all like amazing work to do, and real work-life balance. That’s waiting for you at Sainsbury’s. Think about the scale it takes for us to feed the nation. The level of data, transactions and variety it involves. Then you’ll realise that ours is a modern software engineering environment because it has to be. We’ve made serious investment into a Tech Academy and into setting standards and principles. We iterate, learn, experiment and push ways of working such as Agile, Scrum and XP. So you can look forward to awesome opportunities in everything from AI to reusable tech.

We are committed to being a truly inclusive retailer, so you’ll be welcomed whoever you are and wherever you work. Around here, there’s always the chance to try something new - whether that’s as part of an evolving team or somewhere else across the business - and we take development seriously and promise to support you. We also recognise and celebrate colleagues when they go the extra mile and, where possible, offer flexible working. When you join our team, we’ll also offer you an amazing range of benefits. Here are some of them:
 
 Starting off with colleague discount, you'll be able to get 10% off at Sainsbury's, Argos, TU and Habitat after 4 weeks. This increases to 15% off at Sainsbury’s every Friday and Saturday and 15% off at Argos every pay day. We've also got you covered for your future with our pensions scheme and life cover. You'll also be able to share in our success as you may be eligible for a performance-related bonus of up to 20% of salary, depending on how we perform.  
 
 Your wellbeing is important to us too. You'll receive an annual holiday allowance, and you can buy additional holiday. We also offer other benefits that will help your money go further such as season ticket loans, interest free car loan of up to £10k, cycle to work scheme, health cash plans, pay advance (where you can access some of your pay before pay day) as well access to a great range of discounts from hundreds of other retailers. And if you ever need it there is also an Employee Assistance Programme, you will also be eligible for private healthcare too.

Moments that matter are as important to us as they are to you which is why we give up to 26 weeks’ pay for maternity or adoption leave and up to 4 weeks’ pay for paternity leave. 
 
 Please see www.sainsburys.jobs for a range of our benefits (note, length of service and eligibility criteria may apply).