Data Science Manager - Platforms and Core Capabilities (Metaheuristics)

Tesco Technology
Welwyn Garden City
1 week ago
Applications closed

Related Jobs

View all jobs

Data Science Manager

Data Science Manager

Data Science Manager

Data Science Manager at Severn Trent – Coventry, England, GB

Data Science Manager (Metaheuristics)

Data Science Manager: Metaheuristics & Optimization

Data Science Manager - Platforms and Core Capabilities (Metaheuristics)

Join to apply for the Data Science Manager - Platforms and Core Capabilities (Metaheuristics) role at Tesco Technology

Data Science Manager - Platforms and Core Capabilities (Metaheuristics)

1 hour ago Be among the first 25 applicants

Join to apply for the Data Science Manager - Platforms and Core Capabilities (Metaheuristics) role at Tesco Technology

Get AI-powered advice on this job and more exclusive features.

About the role
We know life looks a little different for each of us. That's why at Tesco, we always welcome chats about flexible working. 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. So, talk to us throughout your application about how we can support.

Are you an Operational Research specialist with strong Meta-heuristics experience? Then look no further and come and join our team!

We'd love to hear from you if you have any questions about the role or our team!

About the Team

Here at Tesco we focus on solving sophisticated business problems and developing data products that can be deployed at scale to our customers and colleagues. Our teams work across multiple areas including Stores, Online, Fulfilment, Marketing Clubcard, and we encourage rotation among our Data Scientists, so they can apply their skills to different business challenges and gain deeper levels of domain expertise.

On any day you could be supporting the automation of decision-making across the business; optimising processes for key business objectives; or conducting exploratory analysis for strategic decision-making.
You will be responsible for

  • The technical domain and leading technical engagements whilst managing a team of Data Scientists and supporting with the mentoring of others in the team on the best approaches to optimise problems and the development of Meta-heuristics
  • Supporting teams in designing and implementing reusable components for algorithmic development for static and dynamic optimisation problems
  • Defining the strategic direction that the team should take, trading off contradicting priorities.
  • Unblocking day-to-day technical challenges and ensure that the daily work is aligned with the technical vision.
  • You will also communicate sophisticated solutions in a clear, understandable way to non-experts
  • Working on end-to-end developments, contributing to all aspects of the product lifecycle

You will need

  • Be an influential Senior Data Scientist or Data Science Manager within Operational Research combined with specialist knowledge of Meta-heuristics.
  • You will have a high level of capability in a programming language, preferably Python and have experience of mentoring others whilst partnering with teams in the areas of scheduling, vehicle routing or bin-packing on technical developments.

Whats 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.

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
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.Seniority level

  • Seniority levelMid-Senior level

Employment type

  • Employment typeFull-time

Job function

  • Job functionEngineering and Information Technology
  • IndustriesRetail

Referrals increase your chances of interviewing at Tesco Technology by 2x

Sign in to set job alerts for “Data Science Manager” roles.Deputy Director, Data Engineering, Data Science and AI

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 2 months ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 1 month ago

RC317 - Head of Applied Data Science & Strategy

London, England, United Kingdom 3 weeks ago

London, England, United Kingdom 3 weeks ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 1 week ago

SVP/Senior Director of Data Science - GenAI (relocate to UAE, tax free)

London Area, United Kingdom £120,000.00-£140,000.00 1 month ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 day ago

Western Europe Practice Head - Data Science (Machine Learning/Artificial Intelligence (ML/AI)

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 1 day ago

Senior Manager - Machine Learning Engineering

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

The Skills Gap in Data Science Jobs: What Universities Aren’t Teaching

Data science has become one of the most visible and sought-after careers in the UK technology market. From financial services and retail to healthcare, media, government and sport, organisations increasingly rely on data scientists to extract insight, guide decisions and build predictive models. Universities have responded quickly. Degrees in data science, analytics and artificial intelligence have expanded rapidly, and many computer science courses now include data-focused pathways. And yet, despite the volume of graduates entering the market, employers across the UK consistently report the same problem: Many data science candidates are not job-ready. Vacancies remain open. Hiring processes drag on. Candidates with impressive academic backgrounds fail interviews or struggle once hired. The issue is not intelligence or effort. It is a persistent skills gap between university education and real-world data science roles. This article explores that gap in depth: what universities teach well, what they often miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data science.

Data Science Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Thinking about switching into data science in your 30s, 40s or 50s? You’re far from alone. Across the UK, businesses are investing in data science talent to turn data into insight, support better decisions and unlock competitive advantage. But with all the hype about machine learning, Python, AI and data unicorns, it can be hard to separate real opportunities from noise. This article gives you a practical, UK-focused reality check on data science careers for mid-life career switchers — what roles really exist, what skills employers really hire for, how long retraining typically takes, what UK recruiters actually look for and how to craft a compelling career pivot story. Whether you come from finance, marketing, operations, research, project management or another field entirely, there are meaningful pathways into data science — and age itself is not the barrier many people fear.

How to Write a Data Science Job Ad That Attracts the Right People

Data science plays a critical role in how organisations across the UK make decisions, build products and gain competitive advantage. From forecasting and personalisation to risk modelling and experimentation, data scientists help translate data into insight and action. Yet many employers struggle to attract the right data science candidates. Job adverts often generate high volumes of applications, but few applicants have the mix of analytical skill, business understanding and communication ability the role actually requires. At the same time, experienced data scientists skip over adverts that feel vague, inflated or misaligned with real data science work. In most cases, the issue is not a lack of talent — it is the quality and clarity of the job advert. Data scientists are analytical, sceptical of hype and highly selective. A poorly written job ad signals unclear expectations and immature data practices. A well-written one signals credibility, focus and serious intent. This guide explains how to write a data science job ad that attracts the right people, improves applicant quality and positions your organisation as a strong data employer.