Data Scientist
TalkTalk
- Manchester, England, United Kingdom
- Manchester, England, United Kingdom
About
TalkTalk is the uncomplicated way to get excellent in‑home Wi‑Fi coverage. We stand out from the crowd by offering intelligent but simple products that work perfectly first‑time, without fuss or incomprehensible jargon, and our customer service is the best in the industry.
Our aim is to deliver simplified & customer delighting Wi‑Fi products and a more digital customer & employee experience. This is enabled by a technology platform that leverages data to drive innovation, decision‑making, and automation, ultimately providing a more cost‑efficient service for our customers.
Role The business demands for data science and AI products have increased, leading to a natural expansion of the teams. The data scientist role will work in a multi‑disciplinary setup to develop, test, deploy, and implement data products in production.
Responsibilities
Apply expertise in mathematics, statistics, data science, machine learning and AI (including GenAI) to deliver business value by solving complex business problems.
Develop, test, deploy, monitor and maintain data products in production using industry best practice MLOps capabilities.
Adhere to all data science governance, regulatory and legal requirements and best practice.
Work collaboratively with colleagues from across different disciplines, including but not limited to data engineering, data modelling, architects, risk and compliance and business functions.
Communicate outputs and findings to a range of stakeholders with a clear focus on the business value.
Knowledge, Skills & Experience
Data science and AI expert with a proven track record in leveraging data science and AI methods to solve business problems and deliver tangible business value.
Educated to MSc, PhD or equivalent apprenticeship level in physics, mathematics, statistics, data science, AI or computer science.
Proven expertise in using relevant coding languages (Python, SQL, etc.), tools (e.g. Git, CI/CD pipelines, MLFlow, etc.) and platforms (Databricks, etc.) to deliver data products.
Strong problem‑solving skills, ability to manage a varied workload.
Effective communication skills with the ability to convey "why do we care" messages clearly to a broad range of stakeholders with differing technical capabilities.
Motivated by delivering results in a fast‑paced digital and transformational organisation.
Collaborative, team player with a tenacious, resilient mentality and a can‑do attitude.
Experience in the telecommunications sector is a bonus.
What We Offer
Flexible hybrid working – with a minimum of 50% office presence to support teamwork and connection.
Collaborative office spaces designed for creative thinking and innovation.
Free on‑site parking at our offices.
Generous holiday package – 25 days annual leave, 3 wellbeing days, and your birthday off (plus the option to buy up to 10 more days!).
Private healthcare for all employees.
Competitive pension scheme and performance‑related bonus opportunities.
Free broadband for all employees.
Life event gifts – celebrating milestones like marriages and births.
Inclusive employee networks – open to all, supporting peer connection and thought‑provoking conversations.
Salary sacrifice scheme – save on dental, gym, and more.
Big retail and leisure discounts.
3 paid volunteering days a year – because making a difference matters to us too.
Seniority level
Mid‑Senior level
Employment type
Full‑time
Job function
Information Technology
Telecommunications
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Be Yourself. Make an Impact. Join Us. As a recognised Top 50 Inclusive Employer in the UK, we believe that diversity fuels innovation and success. We’re committed to building a workplace that reflects the communities and customers we serve. At TalkTalk, inclusion is part of our DNA – we’re all 100% human, and we’ve created a culture where you can truly be yourself.
We’re not your traditional 9‑5. We’re a dynamic, flexible workplace, and we’re excited to hear how you like to work. Whether you thrive in collaboration, focus better at home, or prefer a bit of both – let’s make it work.
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Languages
- English
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