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Data scientist (semantic search/recommender systems)

London
TN United Kingdom
Data scientist
€150,000 - €200,000 a year
Posted: 26 May
Offer description

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Data Scientist (Semantic Search/Recommender Systems), London

Client:

Location:

London, United Kingdom

Job Category:

Other

-

EU work permit required:

Yes


Job Reference:

7ed06a2cf166


Job Views:

3


Posted:

08.05.2025


Expiry Date:

22.06.2025


Job Description:

Tesco UK • Welwyn Garden City • Hybrid • Full-Time • Permanent • Apply by 30-May-2025


About the role

As a Data Scientist within Semantic Search, you will influence the 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.

This role is based out of our London (Farringdon) office, offering the flexibility of hybrid working. Spend three days a week in the office and the remainder working from home.


About the Team

Join our world-class team of data 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.


What is 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. Benefits include:

* 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 year's service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay
* 4 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


Responsibilities

* Applying, modifying, and designing 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


Requirements

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:

* An experienced Data Scientist or a PhD graduate with Semantic Search, recommender systems or information retrieval or LLM experience.
* PhD in a relevant field such as Mathematics, Engineering or Computer Science
* Hands-on expertise with Deep Learning approaches, including modern language models based on transformer architecture
* 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
* Desirable: Experience with Semantic Search approaches and Vector Databases combined with experience of working with Search Engine frameworks, preferably Elasticsearch


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'. We are committed to diversity, equity and inclusion (DE&I) and providing a fully inclusive and accessible recruitment process. We offer various full-time & part-time working patterns and support a blended pattern of office and remote working.

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