Data Scientist - Flutter UK&I, Hybrid & Remote
Flutter InternationalBetfair Romania Development is the largest technology hub of Flutter Entertainment Plc. with over 2000 people powering the world’s leading betting and gaming brands. Exciting, immersive and safe experiences are delivered to over 18 million customers worldwide, from our office in Cluj-Napoca. Driven by relentless innovation and commitment to excellence, we operate our own unbeatable portfolio of diverse proprietary brands such as Betfair, Paddy Power, Sky Betting & Gaming, FanDuel, Sportsbet or PokerStars.
Our Values:
The values we share at Betfair Romania Development define what makes us unique as a team. They empower us by giving meaning to our contributions, and they ensure that we consistently strive for excellence in everything we do. We are looking for passionate individuals who align with our values and are committed to making a difference.
Win together | Raise the bar | Got your back | Own it | Positive impact
About UKI
Flutter UK & Ireland are the UKI region of Flutter Entertainment. They unite a dozen brands, including powerhouses Paddy Power, Betfair, Tombola and Sky Betting & Gaming, bringing together hundreds of teams and thousands of colleagues, who create trusted entertainment for millions of customers every week.
Job Summary:
We are seeking an experienced Data Scientist to join our dynamic and innovative team. As a Data Scientist, you will play a crucial role in driving data-driven decision making, developing advanced analytical models, and leading complex data science projects.
You will collaborate with cross-functional teams to extract insights from large datasets, develop predictive models, and provide strategic recommendations to optimize business processes and drive growth.
The ideal candidate should have a background in statistics, machine learning, and programming, combined with excellent problem-solving skills and a passion for turning raw data into actionable insights.
Responsibilities:
Deliver Data Science Projects: Work with your team to execute end-to-end data science projects, including data collection, preprocessing, feature engineering, model development, validation, and deployment.
Statistical Analysis: Apply advanced statistical techniques to analyze large datasets and uncover patterns, trends, and correlations that provide valuable insights to support business objectives.
Machine Learning and Modelling: 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.
Data Visualization: Create clear and compelling visualizations to effectively communicate complex analytical findings.
Cross-Functional Collaboration: Collaborate with different teams, including product and engineering.
Performance Optimization: Continuously improve the accuracy, efficiency, and scalability of existing models and algorithms, and identify areas for optimization and innovation.
Collaboration: Work closely with other data scientists and contribute to building a strong data science team.
Stay Updated: Keep abreast of the latest advancements in data science, machine learning, and related fields, and proactively identify opportunities to leverage emerging technologies and techniques.
Requirements:
1.Education: Master's or Ph.D. degree in a quantitative field such as Data Science, Statistics, Computer Science, Mathematics, or a related discipline. Equivalent work experience will also be considered.
2. Experience: Minimum of 2 years of experience in a data science or similar role, with a demonstrated track record of successfully delivering data-driven projects.
3. Technical Skills:
Proficiency in programming languages such as Python, R
Knowledge of machine learning techniques and algorithms.
Frameworks like LightGBM Xgboost, Tensorflow, PyTorch are a plus
Experience with statistical analysis, data mining, and data manipulation.
Familiarity with big data technologies such as Spark or SQL.
Expertise in data visualization tools like Tableau, Power BI, or matplotlib.
Expertise in virtual environments such as anaconda
Experience with Docker would be considered a plus
Experience with ML clouds such as AWS, GCP, or Azure would be considered a plus
4.Analytical Skills: Excellent problem-solving skills, the ability to think critically, and interpret complex data.
5.Communication: Strong verbal and written communication skills in English.
6.Adaptability: Ability to work in a fast-paced, dynamic environment and adapt to changing priorities.
7.Continuous Learning: A passion for learning and staying up-to-date with the latest trends and advancements in data science, machine learning, and related fields.
We offer an opportunity to work with a collaborative team on cutting-edge data science projects. If you are a self-driven, results-oriented Data Scientist with a passion for leveraging data to drive business success, we would love to hear from you.
Benefits:
Hybrid & remote working options
€1,000 per year for self-development
Company share scheme
25 days of annual leave per year
20 days per year to work abroad
5 personal days/year
Flexible benefits: travel, sports, hobbies
Extended health, dental and travel insurances
Customized well-being programmes
Career growth sessions
Thousands of online courses through Udemy
A variety of engaging office events
Disclaimer:
We are an inclusive employer. By embracing diverse experiences and perspectives, we create a lasting, positive impact for our employees, customers, and the communities we’re part of. You don't have to meet all the requirements listed to apply for this role. If you need any adjustments to make this role work for you, let us know, and we’ll see how we can accommodate them.
We thank all applicants for their interest; however, only the candidates who best meet the job requirements will be contacted for an interview.
By submitting your application online, you agree that your details will be used to progress your application for employment. If your application is successful, your details will be used to administer your personnel record. If your application is unsuccessful, we will retain your details for a period no longer than three years, to consider you for prospective roles within the company.