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- Tasks: As a Data Scientist, you'll enhance the Tesco search experience using advanced technologies and collaboration.
- Company: Join Tesco, a leading retailer committed to serving customers and communities sustainably.
- Benefits: Enjoy a competitive salary, annual bonus, 25+ days holiday, private medical insurance, and flexible working.
- Why this job: Be part of a passionate team, dedicated to personal growth and work-life balance in a relaxed culture.
- Qualifications: PhD in relevant fields with strong Machine Learning and Software Engineering skills required.
- Other info: Hybrid working available; work from home three days a week.
The predicted salary is between 43200 - 72000 £ per year.
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.
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.
This role can be based out of either our London (Farringdon) office or Welwyn Garden City office, offering the flexibility of hybrid working. Spend three days a week in the office and the remainder working from home.
What is in it for you:
- 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 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
You will be responsible for:
- 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
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:
- PhD in a relevant field such as Mathematics, Engineering or Computer Science
- Extensive knowledge and 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
- An experienced Data Scientist or a PhD graduate with Semantic Search, recommender systems or information retrieval or LLM experience.
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 where Everyone'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. 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.
Data Scientist (semantic Search) employer: Tesco UK
Contact Detail:
Tesco UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist (semantic Search)
✨Tip Number 1
Familiarise yourself with the latest advancements in semantic search and deep learning. Being well-versed in transformer architecture and modern language models will give you a significant edge during discussions with our team.
✨Tip Number 2
Showcase your coding skills, particularly in Python, by working on relevant projects or contributing to open-source initiatives. This hands-on experience will not only enhance your skills but also demonstrate your commitment to software engineering best practices.
✨Tip Number 3
Network with professionals in the field of data science and machine learning. Attend meetups, webinars, or conferences where you can connect with others who share your interests, as this could lead to valuable insights and potential referrals.
✨Tip Number 4
Prepare to discuss how you've applied machine learning techniques to solve real-world problems. Be ready to explain your thought process and the impact of your work, as we value candidates who can communicate complex ideas effectively to non-technical audiences.
We think you need these skills to ace Data Scientist (semantic Search)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, machine learning, and software engineering. Emphasise any projects or roles that involved semantic search or deep learning approaches.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data science and how it aligns with Tesco's vision. Mention specific technologies or methodologies you have used that relate to the role, such as transformer architecture or Python coding.
Showcase Your Skills: Include a section in your application that showcases your technical skills, particularly in Python, deep learning, and any experience with semantic search or vector databases. Use bullet points for clarity.
Highlight Collaborative Experience: Since the role involves working closely with other professionals, mention any past experiences where you collaborated with engineers or data scientists. This will demonstrate your ability to work in a team-oriented environment.
How to prepare for a job interview at Tesco UK
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Machine Learning and Software Engineering. Highlight specific projects where you've applied deep learning techniques or worked with semantic search approaches, especially if you have hands-on experience with transformer models.
✨Communicate Complex Ideas Simply
Since you'll be collaborating with non-technical colleagues, practice explaining your work in layman's terms. Use analogies or simple examples to convey complex concepts, ensuring everyone understands your contributions.
✨Demonstrate Team Collaboration
Emphasise your ability to work within a team. Share examples of how you've collaborated with Data Scientists, ML Engineers, or Software Engineers in the past, and discuss how you can contribute to a positive team culture at Tesco.
✨Prepare Questions About Growth Opportunities
Since Tesco values personal and career development, come prepared with questions about training, mentorship, and opportunities to attend events. This shows your commitment to continuous learning and aligns with their culture of professional growth.
