Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Scientist

TalkTalk Group
Salford
1 year ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist | Edtech | £60k to £70k | Global Business

Data Scientist - Hybrid

Who are TalkTalk?

TalkTalk are the UK’s leading value for money connectivity provider. We believe that simple, affordable, reliable and fair fibre should be available to everyone.

The role

TalkTalk is passionate about using data driven insight to underpin our decision making; from the day to day running of our business through to answering the larger more complex business questions.

The Data Science team works closely with Product & Commercial, Marketing and Sales & Loyalty teams to increase the satisfaction and value of our customers.

Your responsibilities

As a Data Scientist you'll work directly with stakeholders to design and test business hypotheses to identify and implement new trigger-based campaigns to solve core business challenges.

Your work will deliver churn, satisfaction and revenue improvement using machine learning to industrialise predictive and prescriptive models and segmentations.

You'll be a customer advocate, helping colleagues to understand and connect with our customers at the overall & segment level.

You'll also work closely with the other analysts and researchers in the team to deliver the Customer Insight Strategy.

The successful individual will be passionate about data and analytics, highly experienced in delivering actionable insight and comfortable working in a fast paced environment. You'll have a desire to continue to develop yourself and others across the analytics community, growing our Data science capability.

What do I need in order to be successful?

Must have:

A BSC or MSC in a numerate discipline (Mathematics, Statistics, Computer Science Engineering)

Strong experience in customer analytics/ insight

Proficient in SQL and at least one of the following: Python, R, Scala 

Expert in statistical modelling including k-means segmentation, multiple regression, factor analysis, time-series, forecasting and gradient boosting

Ability to build strong personal relationships and trust with business and technical colleagues

Skilled in communicating complex insight succinctly and clearly

It would be great if you also have (but we'd still like to hear from you if you don't):

Experience in the Telecommunications sector

Background in agency or consultancy

Experience in deep learning, neural networks, reinforcement and adaptive learning

Experience in digital data sets, e.g. social listening and social network analysis, plus natural language processing.

Familiarity with Cloud platforms(Microsoft Azure, GCP or AWS)and data visualisation using PowerBI

Experience in Marketing ROI initiatives such as Econometrics, Marketing Mix Modelling, Attribution

What can offer ?

Free TalkTalk broadband for all employees!

Electric car charging points available at our HQ.

Heavily subsidised meals in the TalkTalk HQ Soapworks office in Salford.

Access to the Perks at Work platform which gives you hundreds of discounts on high street brands.

Flexible dynamic working is part of who we are at TalkTalk so please talk to us about how you like to work.

What to do next?

If this role sounds like it could be for you, please apply and we will be in touch soon!

As a recognised Top 50 Inclusive Employer in the UK, we know that diversity means success and innovation. We want our workplace to reflect the communities and customer we serve. Being inclusive is part of our DNA; we are all 100% human, and we create a culture where you can truly be yourself.

We’re also not your usual 9-5. We are a dynamic workplace and we want to talk to you about how you like to work.

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 Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.

The Future of Machine Learning Jobs: Careers That Don’t Exist Yet

Machine learning (ML) has become one of the most powerful forces reshaping the modern world. From voice assistants and recommendation engines to fraud detection and medical imaging, it underpins countless applications. ML is no longer confined to research labs—it powers business models, public services, and consumer technologies across the globe. In the UK, demand for machine learning professionals has risen dramatically. Organisations in finance, retail, healthcare, and defence are embedding ML into their operations. Start-ups in Cambridge, London, and Edinburgh are pioneering innovations, while government-backed initiatives aim to position the UK as a global AI leader. Salaries for ML engineers and researchers are among the highest in the tech sector. Yet despite its current importance, machine learning is only at the beginning of its journey. Advances in generative AI, quantum computing, robotics, and ethical governance will reshape the profession. Many of the most vital machine learning jobs of the next two decades don’t exist today. This article explores why new careers will emerge, the roles likely to appear, how today’s roles will evolve, why the UK is well positioned, and how professionals can prepare now.