Data Scientist - Flutter UK&I at Betfair

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: 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: Work with teams including product and engineering to implement data-driven solutions.
• Performance Optimization: Continuously improve the accuracy, efficiency, and scalability of existing models and algorithms, and identify areas for optimization and innovation.
• Team 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

Education: Master's or Ph.D. degree in Data Science, Statistics, Computer Science, Mathematics, or a related discipline. Equivalent work experience will also be considered.

Experience: Minimum of 2 years in a data science or similar role with a track record of successfully delivering data-driven projects.

Technical Skills:

• Proficiency in programming languages such as Python or R.
• Knowledge of machine learning techniques and algorithms (experience with frameworks like LightGBM, Xgboost, Tensorflow, PyTorch is 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.
• Experience with virtual environments such as Anaconda and Docker is a plus.
• Experience with ML clouds such as AWS, GCP, or Azure is a plus.

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.

What You Can Expect

• 25 days of annual leave
• Sharesave scheme
• “Flexible Benefits” of your choice
• Private health insurance including dental insurance and health assessments
• Free parking
• Access to thousands of courses online through ‘Udemy’

Ways of Working

Flexible working is our way of working! We're a diverse workforce and believe that a 'one size fits all' approach isn’t necessarily best. Whatever your personal needs may be, let's have a chat and see how we can accommodate them.

We thank all applicants for their interest; however, only suitable candidates will be contacted for an interview. By submitting your application online, you agree that your details will be used to progress your application