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- Tasks: As a Data Scientist, you'll enhance the Tesco search experience using advanced technologies.
- Company: Join Tesco, a leading retailer committed to serving customers and communities better every day.
- Benefits: Enjoy hybrid working, 25+ days holiday, private medical insurance, and a bonus scheme up to 20%.
- Why this job: Be part of a passionate team solving complex problems while prioritising your personal and professional growth.
- Qualifications: PhD in relevant fields or experience in Semantic Search and strong Python coding skills required.
- Other info: Flexible working patterns and a culture that values diversity, equity, and inclusion.
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. 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.
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.
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 systems architecture, Machine Learning components, and related 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
Minimum requirements:
- Experience as a Data Scientist or a PhD graduate with expertise in Semantic Search, recommender systems, information retrieval, or LLMs
- PhD in Mathematics, Engineering, or Computer Science
- Hands-on experience with Deep Learning approaches, including modern language models based on transformer architecture
- Strong coding skills, preferably in Python, with a solid grasp of engineering practices such as version control, testing-driven development, and Continuous Integration
Desirable:
- Experience with Semantic Search, Vector Databases, and Search Engine frameworks, preferably Elasticsearch
Our vision at Tesco is to become every customer’s favourite way to shop, whether at home or on the go. Our core purpose is 'Serving our customers, communities and planet a little better every day'. We are committed to diversity, equity, and inclusion, ensuring everyone feels represented and can be themselves at work. We are proud to be accredited as a Disability Confident Leader and offer flexible working patterns, blending office and remote work to foster innovation and collaboration.
Data Scientist (semantic Search/recommender Systems) employer: Tesco UK
Contact Detail:
Tesco UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist (semantic Search/recommender Systems)
✨Tip Number 1
Familiarise yourself with the latest advancements in semantic search and recommender systems. Being able to discuss recent trends or technologies during your interview will show your passion and expertise in the field.
✨Tip Number 2
Network with current employees or professionals in the data science community, especially those who work with Tesco or similar companies. This can provide you with insider knowledge about the team culture and expectations, which can be invaluable during your application process.
✨Tip Number 3
Prepare to demonstrate your coding skills, particularly in Python. Consider working on a small project or contributing to open-source projects that involve deep learning or semantic search to showcase your abilities.
✨Tip Number 4
Be ready to explain complex concepts in simple terms. Since the role involves communicating with non-technical colleagues, practice articulating your ideas clearly and concisely to demonstrate your communication skills.
We think you need these skills to ace Data Scientist (semantic Search/recommender Systems)
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to grasp the responsibilities and requirements. Highlight your experience with semantic search, recommender systems, and relevant technologies in your application.
Tailor Your CV: Customise your CV to reflect your skills and experiences that align with the role. Emphasise your coding skills in Python, experience with deep learning, and any relevant projects or research.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and how you can contribute to Tesco's mission. Mention specific examples of your work in information retrieval and collaboration with cross-functional teams.
Highlight Continuous Learning: Since the role values professional growth, mention any ongoing education, certifications, or workshops you've attended related to data science and machine learning. This shows your commitment to staying updated in the field.
How to prepare for a job interview at Tesco UK
✨Showcase Your Technical Skills
Be prepared to discuss your experience with algorithms, models, and coding, especially in Python. Highlight any projects where you've applied deep learning or worked with semantic search and recommender systems.
✨Demonstrate Collaboration
Since the role involves working closely with other data professionals, share examples of how you've successfully collaborated with engineers and scientists in past projects. Emphasise your ability to communicate complex ideas to non-technical colleagues.
✨Prepare for Problem-Solving Questions
Expect to tackle real-world problems during the interview. Brush up on your problem-solving skills and be ready to explain your thought process when applying data science techniques to business challenges.
✨Express Your Passion for Learning
With a commitment to professional growth, it's important to convey your enthusiasm for continuous learning. Discuss any recent courses, workshops, or conferences you've attended that relate to data science and machine learning.
