Flutter UK&I
DataScientist
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Scientist at Flutter UK&I. Skills: Data science, Machine learning, Analytics, AI modelling. Carry out analytical projects. Engage with business stakeholders”
Industry & Context.
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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