Data Scientist

Join the Data Science team at The Telegraph and work on applied machine learning problems at scale. You will design, build and deploy models that power key parts of our digital products. This includes working across the full lifecycle, from data exploration and model building through to productionisation and monitoring.

You will partner closely with Engineering, Subscription, Product and Editorial teams to translate business problems into robust, data-driven solutions. The work spans areas such as optimisation, personalisation and prediction, with a strong focus on measurable impact. This could include dynamic pricing, churn propensity modelling, content recommendation systems, and building ML-driven signals to support newsroom decision-making.

This role offers the opportunity to work with modern tooling and large, real-world datasets, while contributing to a team that values pragmatism, experimentation and continuous improvement.

Key Responsibilities

• End-to-End Technical Ownership: Take accountability for the ML lifecycle, from initial data cleaning and exploration to developing, deploying, and maintaining production-grade models and pipelines.
• Experimental Rigor: Design, execute, and iterate on experiments with clear success metrics, ensuring solutions create measurable business impact.
• Stakeholder Partnership & Communication: Act as a bridge between technical and non-technical teams by framing complex problems clearly, aligning solutions with business constraints, and delivering actionable findings.

• Operational Excellence: Improve existing systems through iterative feature engineering and robust monitoring, while working alongside engineers to ensure all solutions are scalable and maintainable.

• Strategic Opportunity Identification: Proactively identify and scope new areas for optimisation, personalisation, or automation that align with broader business goals.
• Team & Industry Leadership: Uphold and evolve team standards for code quality and experimentation, providing peer mentorship and integrating modern ML developments where they provide value.

• Experience applying data science or machine learning to real-world problems, through industry work, research, or applied projects
• Strong Python skills, with practical use of data science and ML libraries (e.g. pandas, NumPy, scikit-learn or equivalent)
• Solid SQL skills and experience working with large, structured datasets

• Good understanding of core machine learning concepts, including model training, evaluation, and feature engineering
• Exposure to generative AI or LLM-based systems (e.g. prompt design, evaluation of outputs, and integrating third-party model APIs into data products or pipelines)
• Familiarity with software engineering practices such as version control (Git) and writing reproducible, maintainable code
• Ability to translate ambiguous problems into data-driven solutions and measurable outputs

• Strong collaborative mindset, with a proactive approach to problem solving
• Clear communication skills, with the ability to explain technical approaches and trade-offs to non-technical stakeholders

The nature of our industry means life at the Telegraph Media Group is fast-paced, demanding, and interesting. We also want it to be rewarding for everyone who works here by creating a suite of benefits that contribute to lifestyle choices and leisure activities. From dynamic working opportunities, medical cover, and parental leave (six months fully paid maternity leave and enhanced paternity/partner leave), to life assurance and season ticket loans, you can choose from a range of flexible benefits, designed to support your lifestyle and help you achieve a healthy work-life balance.

Training and development

With support from your manager and colleagues, you’ll also have access to a variety of training and development opportunities through The Academy. Covering a range of personal and professional skills, our courses enable you to develop an enjoyable and rewarding career.

Our commitment to inclusion

At Telegraph Media Group, we foster a diverse and inclusive workplace and we are committed to building a team that reflects a wide variety of skills, perspectives and backgrounds. We believe in equality of opportunity and welcome candidates from all backgrounds, regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion and/or belief.

We are proud to be a Level 3 Disability Confident Leader as part of the government’s Disability Confident Scheme. If you are disabled or have a long-term health condition and would like support in applying for any of our roles or if you require any reasonable adjustments in the recruitment process with us, please make us aware.

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