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

Apply Now

Senior Data Scientist

Women in Data®
Reading
2 days ago
Create job alert
Overview

Senior Data Scientist role at Women in Data®. The position involves designing, implementing, and optimizing predictive models to improve customer satisfaction and drive meaningful business outcomes. You will work on end-to-end model development from concept and data exploration through deployment and ongoing refinement, using machine learning and statistical techniques to address customer challenges and reduce churn while enhancing the overall experience. You will collaborate with engineering, product, and marketing teams and contribute to shaping MLOps strategy for reliability, performance, and long-term value. There is an opportunity to mentor other team members and foster a culture of continuous learning and innovation.

We are Virgin Media O2, an equal opportunities employer committed to accessibility, inclusion, and equity for all. Our aim is to create a culture where everyone can bring their best selves to work.

Responsibilities
  • Design, implement, and optimise predictive models with end-to-end lifecycle from data exploration to deployment and ongoing refinement.
  • Apply advanced machine learning and statistical methods to solve real-world business problems and drive measurable impact.
  • Collaborate with engineering, product, and marketing teams to translate business needs into scalable data science solutions.
  • Help shape MLOps practices to ensure reliability, performance, and long-term value of models.
  • Mentor colleagues and contribute to a culture of continuous learning and innovation.
Qualifications
  • Proven experience with advanced ML and statistical methods to solve business challenges and drive impact.
  • End-to-end delivery skills including model deployment and operationalisation; strong grasp of MLOps best practices.
  • Proficient in Python and libraries such as NumPy, Pandas, Scikit-learn, PyTorch, and Statsmodels.
  • Strong academic background in mathematics, computer science, or related field (MSc or PhD preferred).
  • Experience with cloud platforms (preferably GCP), Agile methodologies, and data wrangling for complex datasets.
Other desirable skills
  • Excellent communication and stakeholder management; ability to translate technical concepts for non-technical audiences including senior leaders.
  • Knowledge of CI/CD, Docker, and containerisation for scalable model deployment.
  • Strong commercial awareness and ability to prioritise work by impact.
  • Proactive and innovative in identifying data-driven opportunities; experience with dbt or similar data transformation tools.
What’s in it for you

We offer a competitive reward package and benefits designed to support you and your loved ones, along with a culture that values inclusion and diversity.

Next steps

If this seems like a good fit, please apply. The process may include an initial call with the hiring manager, followed by technical and competency-based assessments. Please let us know if you require adjustments during the recruitment process.

Note: Applications will be reviewed on an ongoing basis, and the closing date may move forward. All roles require background checks where applicable.

Equal opportunities

Virgin Media O2 is an equal opportunities employer and is committed to removing bias and barriers for our people and candidates. We support you to be your authentic self throughout your application journey.


#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist - Consumer Behaviour - exciting ‘scale up’ proposition

Senior Data Scientist

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.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.

Why the UK Could Be the World’s Next AI Jobs Hub

Artificial Intelligence (AI) has rapidly moved from research labs into boardrooms, classrooms, hospitals, and homes. It is already reshaping economies and transforming industries at a scale comparable to the industrial revolution or the rise of the internet. Around the world, countries are competing fiercely to lead in AI innovation and reap its economic, social, and strategic benefits. The United Kingdom is uniquely positioned in this race. With a rich heritage in computing, world-class universities, forward-thinking government policy, and a growing ecosystem of startups and enterprises, the UK has many of the elements needed to become the world’s next AI hub. Yet competition is intense, particularly from the United States and China. Success will depend on how effectively the UK can scale its strengths, close its gaps, and seize opportunities in the years ahead. This article explores why the UK could be the world’s next global hub for artificial intelligence, what challenges it must overcome, and what this means for businesses, researchers, and job seekers.