Senior Data Scientist (Machine Learning)

Tesco Partners
London
2 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist/ Senior Risk Scientist

Senior Data Scientist (MLOps)

Senior Data Scientist (GenAI)

Senior Data Engineer

Lead Machine Learning Engineer

Lead Data Scientist

About the role

At Tesco, we believe in the power of spending more time together, face to face, than apart. So, during your working week, you can expect to spend 60% of your time in one of our office locations or local sites and the rest remotely. We also recognise that life looks a little different for each of us. Some people are at the start of their careers, some want the freedom to do the things they love. Others are going through life-changing moments like becoming a carer, nearing retirement, adapting to parenthood, or something else. That’s why at Tesco, we always welcome a conversation about flexible working. So, talk to us throughout your application about how we can support.

At Tesco Technology, we have an outstanding opportunity for an experienced Machine Learning Senior Data Scientist to join our team where you will be working on our Online programmes (Search, Personalisation & Recommendations).

You will take a lead role in helping to redesign our customers' engagement on our groceries website. By applying sophisticated technologies like semantic search and transformer models, you will play a pivotal role in improving the search functionality for millions of customers across multiple countries. This position allows someone to quickly make a meaningful impact and contribute to the seamless operation of our supply chain, transport, and delivery operations.

About the Team

You will join a world-class team of data science professionals who are passionate about solving sophisticated business problems and deploying data products at scale. Our team works across various areas of our business, personalising our customers' experience across all touchpoints, both online and in-store. We are committed to personal and career development, providing on-desk training, support, and dedicating 10% of your working week to learning and professional growth. Additionally, there are opportunities to attend and speak at external and internal events, encouraging individual growth as experts in the field. Our team values work-life balance, team days, and cultivates a relaxed yet engaging culture.

This role can be based out of either our London (Farringdon) office or Welwyn Garden City office depending on your home location, offering the flexibility of hybrid working. Spend three days a week in the office and the remainder working from home.

You will be responsible for

As a Senior Data Scientist, you will influence our personalisation and search experience on the Tesco website by utilising advanced technologies and collaborating with a team of seasoned Data Scientists, Machine Learning Engineers, and Software Engineers. You will drive innovation and take ownership of projects.

You will be responsible for:

  • Applying, modifying, and designing machine learning algorithms and models for information retrieval and re-ranking.
  • Advising on the systems architecture, Machine Learning components, and associated technologies.
  • Using data to train and fine-tune models.
  • Developing efficient and high-quality code in Software Engineering.
  • Collaborating closely with Search Engineers, ML Engineers, and Data Scientists.
  • Promoting data science internally and effectively communicating sophisticated solutions to non-technical colleagues.
You will need

To excel in this role, we are seeking high-reaching individuals with a strong blend of Machine Learning and Software Engineering skills. The following requirements are important:

  • Previously worked as a Data Scientist or Senior Data Scientist with a strong Machine Learning background.
  • Experience working on Semantic Search projects, personalisation or recommendation projects would be an excellent addition.
  • Strong coding skills, preferably in Python and a solid grasp of effective methods in Engineering, including version control, development driven by testing, and Continuous Integration.
  • Extensive knowledge and hands-on expertise with Deep Learning approaches, including modern language models based on transformer architecture.
  • PhD in a relevant field such as Mathematics, Engineering or Computer Science.

Join our Technology team and be part of a world-class team that is crafting the future of retail technology! Apply now to seize this ambitious opportunity.

What’s in it for you

We’re all about the little helps. That’s why we make sure our Tesco colleague benefits package takes care of you – both in and out of work.Click Hereto find out more!

  • Annual bonus scheme of up to 20% of base salary.
  • Holiday starting at 25 days plus a personal day (plus Bank holidays).
  • Private medical insurance.
  • 26 weeks maternity and adoption leave (after 1 years’ service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay. We also offer 6 weeks fully paid paternity leave.
  • Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing.
About us

Our vision at Tesco is to become every customer's favourite way to shop, whether they are at home or out on the move. Our core purpose is ‘Serving our customers, communities and planet a little better every day’. Serving means more than a transactional relationship with our customers. It means acting as a responsible and sustainable business for all stakeholders, for the communities we are part of and for the planet.

Diversity, equity and inclusion (DE&I) at Tesco means that whoever you are and whatever your background, we always want you to feel represented and that you can be yourself at work. In short, we’re a place whereEveryone’s Welcome. We’re proud to have been accredited Disability Confident Leader and we’re committed to providing a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer, please clickhere.

We’re a big business and we can offer a range of diverse full-time & part-time working patterns across our many business areas, which means that we can find something that works for you. We work in a more blended pattern - combining office and remote working. Our offices will continue to be where we connect, collaborate and innovate.

#J-18808-Ljbffr

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Tips for Staying Inspired: How Data Science Pros Fuel Creativity and Innovation

Data science sits at the dynamic intersection of statistics, computer science, and domain expertise, driving powerful innovations in industries ranging from healthcare to finance, and from retail to robotics. Yet, the daily reality for many data scientists can be a far cry from starry-eyed talk of AI and machine learning transformations. Instead, it often involves endless data wrangling, model tuning, and scrutiny over metrics. Maintaining a sense of creativity in this environment can be an uphill battle. So, how do successful data scientists continue to dream big and innovate, even when dealing with the nitty-gritty of data pipelines, debugging code, or explaining results to stakeholders? Below, we outline ten practical strategies to help data analysts, machine learning engineers, and research scientists stay inspired and push their ideas further. Whether you’re just starting out or looking to reinvigorate a long-standing career, these pointers can help you find fresh sparks of motivation.

Top 10 Data Science Career Myths Debunked: Key Facts for Aspiring Professionals

Data science has become one of the most sought-after fields in the tech world, promising attractive salaries, cutting-edge projects, and the opportunity to shape decision-making in virtually every industry. From e-commerce recommendation engines to AI-powered medical diagnostics, data scientists are the force behind innovations that drive productivity and improve people’s lives. Yet, despite the demand and glamour often associated with this discipline, data science is also shrouded in misconceptions. Some believe you need a PhD in mathematics or statistics; others assume data science is exclusively about machine learning or coding. At DataScience-Jobs.co.uk, we’ve encountered a wide array of myths that can discourage talented individuals or mislead those exploring a data science career. This article aims to bust the top 10 data science career myths—providing clarity on what data scientists actually do and illuminating the true diversity and inclusiveness of this exciting field. Whether you’re a recent graduate, a professional looking to pivot, or simply curious about data science, read on to discover the reality behind the myths.

Global vs. Local: Comparing the UK Data Science Job Market to International Landscapes

How to evaluate salaries, opportunities, and work culture in data science across the UK, the US, Europe, and Asia Data science has proven to be more than a passing trend; it is now a foundational pillar of modern decision-making in virtually every industry—from healthcare and finance to retail and entertainment. As the volume of data grows exponentially, organisations urgently need professionals who can transform raw information into actionable insights. This high demand has sparked a wave of new opportunities for data scientists worldwide. In this article, we’ll compare the UK data science job market to those in the United States, Europe, and Asia. We’ll explore hiring trends, salary benchmarks, and cultural nuances to help you decide whether to focus your career locally or consider opportunities overseas or in fully remote roles. Whether you’re a fresh graduate looking for your first data science position, an experienced data professional pivoting from analytics, or a software engineer eager to break into machine learning, understanding the global data science landscape can be a game-changer. By the end of this overview, you’ll be better equipped to navigate the expanding world of data science—knowing which skills and certifications matter most, how salaries differ between regions, and what to expect from distinct work cultures. Let’s dive in.