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
5 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

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.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.