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# Data Scientist

- **Company:** Flutter UK&I
- **Location:** Leeds, UK
- **Salary:** £12,000.0
- **Contract:** Permanent contract
- **Skills:** Big Data, Cluster Analysis, Software Quality, Code Review, Python (Programming Language), Machine Learning, Natural Language Processing, Pair Programming, Software Engineering, SQL Databases, Feature Engineering, Deep Learning, Data Analytics
- **Published:** July 22, 2026
- **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=2887786671-2

## About the Role

* Proficiency in Python and SQL.
 * Good knowledge of machine learning techniques and algorithms.
 * A demonstrated track record of successfully delivering data science projects.
 * Strong verbal and written communication, ability to explain technical concepts to non technical audiences.

## Description

* Work with the team to carry out analytical projects involving data collection, pre-processing, feature engineering, model development, validation, and deployment.
 * Engage with business stakeholders to understand domain-specific challenges and opportunities, and collaborate during development to ensure alignment with requirements.
 * Apply advanced statistical and machine learning algorithms to analyse large datasets, uncover patterns, and derive actionable insights to support business objectives.
 * Develop and implement predictive and prescriptive models using machine learning algorithms and techniques, such as regression, classification, clustering, time series analysis, natural language processing, and deep learning.
 * Create clear and compelling visualisations to communicate complex analytical findings effectively.
 * Collaborate with collaborators (including business, product, and engineering) to understand requirements, find opportunities, and provide data-driven recommendations.
 * Collaborate with cross-functional teams to integrate data science solutions into products and services.
 * Engage actively in knowledge sharing, technical, and non-technical discussions within the team.
 * Continuously improve the accuracy, efficiency, and scalability of existing models and algorithms, and identify areas for optimisation and innovation.
 * Maintain high standards of documentation, code quality, and application of best practices in data science and software development.
 * Actively participate in code reviews, pair programming, and knowledge sharing sessions, embracing feedback for continuous improvement.
 * Contribute to building a strong data science team through knowledge sharing and upskilling.
 * Keep abreast of the latest advancements in data science, machine learning, and related fields, and proactively find opportunities to demonstrate the use of new technologies.


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