Description
About Betfair Romania Development:
Betfair Romania Development is the largest technology hub of Flutter Entertainment, with over 2,000 people powering the world’s leading sports betting and iGaming 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 FanDuel, PokerStars, SportsBet, Betfair, Paddy Power, or Sky Betting & Gaming.
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 Flutter 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.
Role Overview:
We are seeking an Associate Data Scientist to join our dynamic and innovative team. As an Associate Data Scientist, you will work with the team to develop advanced analytical models for complex data science projects. You will collaborate with cross-functional teams to extract insights from large datasets, develop predictive models, and help 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.
Key Accountabilities & 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: Assist in developing 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: Assist in developing and implementing 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: Assist in creating clear and compelling visualizations to effectively communicate complex analytical findings.
Team Collaboration: Collaborate with team-members and cross-functional teams like engineering and product.
Performance Optimization: Continuously improve the accuracy, efficiency, and scalability of your work.
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.
Skills, Capabilities & Experience Required:
Education: Degree in a quantitative field such as Data Science, Statistics, Computer Science, Mathematics, or a related discipline. Equivalent work experience will also be considered.
Technical Skills:
Proficiency in programming languages such as Python, R
Knowledge of machine learning techniques and algorithms
Experience with statistical analysis, data mining, and data manipulation
Experience in data visualization tools like Tableau, Power BI, or matplotlib
Analytical Skills: Excellent problem-solving skills, the ability to think critically, and interpret complex data.
Communication: Strong verbal and written communication skills in English.
Adaptability: Ability to work in a fast-paced, dynamic environment and adapt to changing priorities.
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.
Future Ready: Demonstrating curiosity and openness toward AI and emerging technologies, with a willingness to continuously learn, adapt, and share knowledge.
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.
