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Bi data modeler

Warrington
Focus 5 Recruitment
Posted: 17 June
Offer description

Data Scientist Warrington – Hybrid, 4 days on site and 1 day remote
£50,000 - £60,000 – Depending on experience

Focus 5 Recruitment are working with an exciting software business to help recruit a Data Scientist. The company has just been awarded two major contracts with international Mobile Network Operators and is looking for a talented Data Scientist to help unlock the value in their data through advanced analytics and machine learning.

This is a fantastic opportunity to join a growing and ambitious tech business that works with some of the world’s leading mobile network companies. They're at a pivotal stage in their growth, making this the perfect time to join and shape the direction of data-driven decision-making across the organisation.

Key responsibilities for the Data Scientist –
Analyse large volumes of structured and unstructured data to extract meaningful insights.
Develop predictive models and machine learning algorithms to support business goals.
Build and deploy data science solutions into production environments.
Work closely with software engineers and data engineers to ensure end-to-end data flow and model integration.
Continuously evaluate and improve the performance of deployed models.
Ensure data science practices comply with data security and governance standards.

Data Scientist experience we’re looking for –
Proven experience in a commercial Data Science role.
Strong proficiency in Python (including libraries like pandas, scikit-learn, TensorFlow or PyTorch).
Solid understanding of machine learning algorithms, data modelling, and statistical analysis.
Hands-on experience working with large datasets and data wrangling techniques.
Familiarity with cloud-based environments, particularly AWS.
Comfortable with SQL and working with relational and non-relational databases.
Experience working in telecom or mobile network sectors.
Background in government or defence-sector projects.
Exposure to real-time data and streaming analytics.

For immediate consideration and full details, please submit an application ASAP.

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