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A leading telecommunications company in the UK is seeking a Data Scientist to develop and implement data products that drive business value. Candidates should have a strong background in data science and be adept at using tools like Python and Databricks. The role offers flexible hybrid working and emphasizes a diverse and inclusive culture, with generous benefits including healthcare and a competitive pension scheme. Join a company where innovation thrives and your contributions make a difference.
TalkTalk’s vision is to be the most recommended Wi‑Fi provider in the UK by 2028 with a growing, profitable` base. Success requires that we simplify what we do, who we do it with, and reduce the cost of how we do it.
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 for any help 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.
The business demands for data science and AI products have Increased leading to a natural expansion of the teams. The data scientists role will work In a multi‑disciplinary setup to develop, test, deploy and Implement data products in production.
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.