Join Betfair as a Senior Data Scientist - Flutter UK&I

Job Summary

We are seeking an experienced and highly skilled Senior Data Scientist to join our dynamic and innovative team at Betfair. As a Senior Data Scientist, you will play a crucial role in driving data-driven decision making, developing advanced analytical models, and leading complex data science projects. Collaborating with cross-functional teams, you will extract insights from large datasets, develop predictive models, and provide strategic recommendations to optimize business processes and drive growth.

The ideal candidate will possess a strong background in statistics, machine learning, and programming, coupled with excellent problem-solving skills and a passion for converting raw data into actionable insights.

Key Responsibilities

• Lead Data Science Projects: Plan, design, and 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 support business objectives.
• Machine Learning and Modeling: Develop and implement predictive and prescriptive models using machine learning algorithms such as regression, classification, clustering, time series analysis, natural language processing, and deep learning.
• Data Visualization: Create clear and compelling visualizations to communicate complex analytical findings to stakeholders and non-technical teams.
• Cross-Functional Collaboration: Work with stakeholders from business, product, and engineering teams to understand requirements, identify opportunities, and provide data-driven recommendations.
• Performance Optimization: Continuously enhance the accuracy, efficiency, and scalability of existing models and algorithms.
• Mentorship and Leadership: Offer guidance and mentorship to junior data scientists, review their work, and help build a strong data science team.
• Stay Updated: Keep abreast of the latest advancements in data science, machine learning, and related fields, proactively seeking opportunities to leverage emerging technologies and techniques.

Requirements

• Education: Master's or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or a related field. Equivalent work experience will also be considered.
• Experience: Minimum of 5 years in a data science role with a track record of successfully delivering data-driven projects.
• Technical Skills:
  • Proficiency in programming languages such as Python or R
  • Strong knowledge of machine learning techniques and algorithms
  • Experience with frameworks like LightGBM, XGBoost, TensorFlow, PyTorch
  • Familiarity with big data technologies such as Spark or SQL
  • Expertise in data visualization tools like Tableau, Power BI, or matplotlib
  • Experience with virtual environments such as Anaconda
  • Experience with Docker is a plus
  • Experience with cloud platforms such as AWS, GCP, or Azure is a plus
• Analytical Skills: Excellent problem-solving skills and the ability to interpret complex data and derive actionable insights.
• Communication: Strong verbal and written communication skills in English, able to explain complex concepts to both technical and non-technical audiences.
• Leadership: Proven experience in leading data science projects, working with cross-functional teams, and mentoring junior team members.
• Adaptability: Ability to thrive in a fast-paced, dynamic environment and manage multiple projects simultaneously.
• Continuous Learning: A passion for staying up-to-date with the latest trends in data science, machine learning, and related fields.

What You Can Expect

• 25 days of annual leave
• Sharesave scheme
• Flexible benefits of your choice
• Private health insurance (includes dental insurance and health assessments)
• Free parking
• Access to thousands of courses through ‘Udemy'

Ways of Working