Data Scientist (12 Month FTC)

Requirements

• With a proven track record of applying advanced data science and AI techniques to solve complex business problems and deliver measurable commercial value, you’ll bring a strong academic background – educated to MSc, PhD or equivalent — alongside hands-on experience building and deploying data products

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• You’ll have a background that enables you to contribute effectively from an early stage, applying proven data science and AI techniques in a production environment

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• This role is therefore best suited to candidates with relevant professional experience, rather than those who are newly qualified

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• Confident working with modern coding languages such as Python and SQL, and industry-standard tools and platforms including GIT, CI/CD pipelines, MLFlow and Databricks, you’ll be comfortable turning data into real-world impact at scale

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• A 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

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• Educated to MSc, PhD or equivalent apprenticeship level in physics, mathematics, statistics, data science, AI or computer science

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• 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

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• Strong problem-solving skills are essential, along with an ability to manage a varied workload

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• Effective communication skills with ability to convey “why do we care” messages clearly to broad range of stakeholders having different technical capabilities

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• Motivated by delivering results in a fast-paced digital and transformational organisation

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• Collaborative, team player with a tenacious, resilient mentality and can do attitude

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• Experience in the Telecommunications sector is a bonus

What the job involves

• Driven by increasing demand for Data Science and AI solutions across the business, we’re expanding our teams

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• We’re looking for an experienced Data Scientist with practical, real‑world industry experience in a similar role

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• Apply expertise in mathematics, statistics, data science, machine learning and AI (Including GenAI) to deliver business value by solve complex business problems

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• Develop, test, deploy, monitor and maintain data products In production using Industry best practice MLOps capabilities

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• Adhere to all data science governance, regulatory and legal requirements and best practice

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• Work collaboratively with colleagues from across different disciplines Including but not limited data engineering, data modellers, architects, risk and compliance and business functions

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• Communicate outputs and findings to a range of stakeholders with a clear focus on the business value

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