Data Scientist

As a Data Scientist at Entain, your main responsibilities include developing end-to-end predictive models across various business units such as Marketing, Trading, and Gaming. You'll be tasked with monitoring existing models, managing customer segmentation, and analyzing results related to customer lifetime value. Collaborating with the IT department is crucial to integrate predictive models into sales processes, and you will leverage tools like Python and Open AI to carry out your tasks effectively.

To apply for the Data Scientist position at Entain, candidates should have a degree in Mathematics, Statistics, Engineering, or a related field. It's essential to have at least two years of experience in predictive modeling and familiarity with data analysis tools, particularly Python and PySpark. Knowledge of ML processes, Google Cloud, and Tableau will enhance your application, while a passion for gaming and sports is a plus.

Entain supports its Data Scientists through a variety of initiatives aimed at professional development, including access to specialized training programs that focus on predictive modeling and machine learning. Additionally, the company encourages participation in wellness activities such as Yoga and Padel, contributing to overall personal growth and well-being.

The work environment for a Data Scientist at Entain is designed to foster collaboration and innovation. The company offers flexible working arrangements, with a strong emphasis on smart working practices. The open office layout encourages interaction with colleagues, which helps to create a dynamic and vibrant workplace culture. In addition, the team values diversity and inclusion, ensuring that every employee feels respected and valued.

Data Scientists at Entain enjoy a comprehensive benefits package that includes flexible working conditions, daily meal tickets regardless of on-site or remote work, and enhanced health insurance for employees and their families. Other perks include easing transportation costs, wellness programs, and structured initiatives on diversity, equity, and inclusion, making the workplace supportive and encouraging.

In your response, highlight specific projects you've worked on that involved creating predictive models. Discuss the techniques and tools you used, such as Python or PySpark, and explain how these experiences have prepared you for the Data Scientist position at Entain. Make sure to mention your familiarity with MLops if applicable.

When answering this question, convey a methodical approach. Discuss how you identify performance issues, investigate data inputs, and assess model parameters. Explain how you utilize metrics and feedback to make data-driven decisions for improving model performance.

Show your teamwork skills by detailing a project that required close collaboration with IT. Explain the project's objectives, your specific contributions, and how the collaboration led to successful outcomes. Additionally, emphasize the importance of clear communication and mutual understanding in achieving project goals.

In your answer, outline the methodologies you utilize to calculate customer lifetime value, including the variables you consider. Discuss how you analyze results to evaluate ROI, and connect your findings back to the effectiveness of predictive models in driving business decision-making. Include any relevant tools or metrics you apply in your analysis.

Describe your data-cleaning process, focusing on specific techniques you utilize, such as handling missing values, outlier detection, and data normalization. You can include the tools or programming languages you use during this step, emphasizing that good data preparation is critical for successful predictive modeling.

Highlight your commitment to continuous learning by mentioning specific resources you follow, such as data science journals, online courses, or professional networks. Share how you integrate new insights or trends into your existing practices and projects, demonstrating your enthusiasm for the field.

Discuss any formal education or projects that required a strong understanding of game mathematics. Describe scenarios where you applied the theory of games to real-world situations, like simulating outcomes for sports betting or gaming applications, illustrating your capability to contribute to Entain’s innovative projects.

Use this opportunity to discuss a specific project where you lead the development of a predictive model from initiation to deployment. Explain your process, including data collection, modeling techniques, validations, and the ultimate impact of the model on the organization or stakeholders.

Emphasize your belief in the importance of collaboration in data science roles. Discuss how you foster open communication, share knowledge, and support team members to reach common objectives. Additionally, mention any specific experiences that highlighted the power of teamwork in achieving successful outcomes.

This is your chance to express your passion for the sports industry and your admiration for Entain’s commitment to innovation and diversity. Discuss what excites you about the company's culture and your eagerness to contribute to their data-driven decision-making processes. Linking your values with those of the company will help convey your genuine interest in the role.