Data Scientist - R / Python

About Flutter Entertainment :

Flutter Entertainment is the worlds largest sports betting and iGaming operator with 13.

9 million Average Monthly Players worldwide and an annual revenue of $14Bn in 2024.

We have a portfolio of iconic brands, including Paddy Power, Betfair, FanDuel, PokerStars, Junglee Games and Sports bet.

Flutter Entertainment is listed on both the New York Stock Exchange (NYSE) and the London Stock Exchange (LSE).

In 2024, we were recognized in TIMEs 100 Most Influential Companies under the 'Pioneers' category - a testament to our innovation and impact.

Our ambition is to transform global gaming and betting to deliver long-term growth and a positive, sustainable future for our sector.

Together, we are Changing the Game.

Working at Flutter is a chance to work with a growing portfolio of brands across a range of opportunities.

We will support you every step of the way to help you grow.

Just like our brands, we ensure our people have everything they need to succeed.

FLUTTER ENTERTAINMENT INDIA :

Our Hyderabad office, located in one of Indias premier technology parks is the Global Capability Center for Flutter Entertainment.

A center of expertise and innovation, this hub is now home to over 900+ talented colleagues working across Customer Service Operations, Data and Technology, Finance Operations, HR Operations, Procurement Operations,?and other key enabling functions.

We are committed to crafting impactful solutions for all our brands and divisions to power Flutter's incredible growth and global impact.

With the scale of a leader and the mindset of a challenger, were dedicated to creating a brighter future for our customers, colleagues, and communities.

Overview Of The Role.

We are seeking a highly skilled and certified Data Scientist with expertise in Tableau AI and Tableau Pulse to drive advanced analytics and actionable insights.

This role involves designing and implementing data-driven solutions, enabling real-time decision-making through predictive and prescriptive analytics.

You will play a pivotal role in building intuitive dashboards, developing AI / ML models, and leveraging data to support strategic objectives.

This position offers an exciting opportunity to align analytics initiatives with broader strategic goals and enable impactful decision-making processes.

Experience in People Analytics is a strong plus.

Key Responsibilities Analytics & Insights :

• Design and implement advanced descriptive, predictive, and prescriptive analytics models.
• Identify trends and patterns in workforce, operational, and business data to support strategic decisions.
• Leverage Tableau AI and Tableau Pulse for real-time reporting and automated & Reporting :
• Create and maintain interactive dashboards to enable actionable insights for stakeholders.
• Develop customized reports and visualizations to support leadership Development & Automation :
• Build machine learning models to predict behaviours and optimize business processes.
• Automate repetitive data tasks to streamline analytics workflows and enhance & Strategy :
• Partner with cross-functional teams to understand analytics needs and deliver Translate complex data insights into clear, actionable narratives for diverse Integrity & Governance :
• Ensure data accuracy, quality, and compliance with governance policies and industry standards.
• Collaborate with IT and data governance teams to enhance data accessibility and EXCEL IN THIS ROLE, YOU WILL NEED TO HAVE :
• Bachelor's or master's degree in data science, Computer Science, Statistics, or a related field.
• Tableau AI / Advanced Tableau Pulse certification is a plus.
• Additional certifications in Python, R, SQL, or cloud platforms are advantageous.
• 5-7 years of experience in data science or advanced analytics.
• Proven expertise in Tableau AI, Tableau Pulse, and related dashboarding tools.
• Experience in People Analytics is a strong advantage but not mandatory.
• Proficiency in Tableau AI, Tableau Pulse, and advanced data visualization tools.
• Strong programming skills in Python, R, or SQL.
• Experience with machine learning and predictive modelling techniques.
• Expertise in working with large datasets to extract meaningful insights.
• Familiarity with workforce analytics, talent trends, or operational metrics is desirable.
• Excellent communication and presentation skills.
• Ability to work both independently and collaboratively in a fast-paced environment.

(ref : hirist.tech)