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A recruitment agency is looking for a Data Scientist to join a client in Bristol. The role offers a great opportunity for a data professional to influence data usage and implement analytics and machine learning solutions. Key skills required include SQL, Python, R, and Power BI. The position offers hybrid working with two days onsite each week, allowing direct interaction with stakeholders. Candidates should have strong analytical skills and the ability to present insights clearly.
Data Scientist | Bristol (2 days onsite) | £50,000-£70,000 + Benefits
We're recruiting on behalf of our client for an exciting Data Scientist position based in Bristol. This role offers an excellent opportunity for someone who wants to play a key part in elevating how data, analytics, and technology are used across the organisation.
As a Data Scientist, you'll work closely alongside the Reporting & Analytics team, engaging directly with business stakeholders to understand their needs and translate data into meaningful insights. You'll be delivering advanced analytics, predictive modelling, and machine learning solutions that support smarter decision-making and help shape the business's future direction.
This is a role with real influence - you'll have the scope to introduce new ideas, champion best practices, and contribute to the development of the organisation's wider data and technology landscape. There's also the opportunity to provide guidance to more junior team members and support the continuous improvement of analytics capability across the business.
Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted.
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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.