Flutter UK&I

DataScientist

£65–90k ~AI est. Leeds, United Kingdom FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Data Scientist at Flutter UK&I. Skills: Data science, Machine learning, Analytics, AI modelling. Carry out analytical projects. Engage with business stakeholders”

Industry & Context.

Problems you'll solve

Solve business problems; Uncover patterns; Derive actionable insights

What They're Looking For.

Must Have

Proficiency in Python, Proficiency in SQL, Good knowledge of machine learning techniques, Demonstrated track record of successfully delivering data science projects, Verbal and written communication, Ability to explain technical concepts to non technical audiences

Nice to Have

PhD preferred, Specific ML framework experience, Cloud platform certs

What You'll Do.

Carry out analytical projects

Engage with business stakeholders

Apply advanced statistical algorithms

Apply machine learning algorithms

Develop predictive models

Implement predictive models

Develop prescriptive models

Implement prescriptive models

Create clear visualisations

Communicate complex findings

Collaborate with collaborators

Integrate data science solutions

Engage in knowledge sharing

Improve accuracy of models

Improve efficiency of models

Improve scalability of models

Identify areas for optimisation

Identify areas for innovation

Maintain high standards of documentation

Maintain high standards of code quality

Maintain high standards of best practices

Participate in code reviews

Participate in pair programming

Participate in knowledge sharing sessions

Contribute to building data science team

Keep abreast of advancements

Find opportunities to demonstrate new technologies

How You'll Work.

Team & Collaboration

Cross business chapter; With other areas; With business stakeholders; With collaborators; With cross-functional teams; Within the team; Knowledge sharing sessions

Communication Scope

Verbal communication; Written communication; Explain technical concepts; Clear visualisations; Compelling visualisations; Communicate findings

Full Job Description

Data Scientist # **Your team** The UKI Data Science team is a cross business chapter sitting in the Customer Super Tribe, working with other areas such as; Safety, Marketing, Gaming, Sports, and more. We work with a range of partners to deliver groundbreaking analytics and AI modelling solutions to help solve business problems. # # **What you 'll do** * 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 bu

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