Data Scientist

At Warner Music Group, we’re a global collective of music makers and music lovers, tech innovators and inspired entrepreneurs, game-changing creatives and passionate team members. Here, we turn dreams into stardom and audiences into fans. We are guided by three core values that underpin everything we do across all our diverse businesses: 

• Curiosity: We do our best work when we’re immersing ourselves in culture and breaking through barriers. Curiosity is the driving force behind creativity and ingenuity. It fuels innovation, and innovation is the key to our future. 

• Collaboration: Making music and bringing it to the world is all about the power of originality amplified by teamwork. A great idea, like a great song, travels globally. We ignite passions and build connections across our diverse community of artists, songwriters, partners, and fans.

• Commitment: We pursue excellence for our team and our talent. Everything in music starts with a leap into the unknown, and we’re committed to keeping the faith, acting with integrity, and delivering on our promises.

WMG is home to a wide range of artists, musicians, and songwriters that fuel our success. That is why we are committed to creating a work environment that actively values, appreciates, and respects everyone.  We encourage applications from people with a wide variety of backgrounds and experiences.

Consider a career at WMG and get the best of both worlds – an innovative global music company that retains the creative spirit of a nimble independent.
 

At Warner Music Group, our Strategic Finance team serves as the analytical engine that drives both our high-level business strategy and day-to-day operations. By extracting actionable intelligence from core financial data, the team partners seamlessly across Warner Music’s Central Functions, Recorded Music, and Music Publishing to uncover deep business insights. Ultimately, Strategic Finance sits at the forefront of the company, mapping the financial dynamics and emerging trends that are actively shaping the future of the global music industry.

As the Data Scientist for Strategic Finance, you will act as the crucial link between our financial strategists and the Technology department. A key part of your mission is collaborating closely with the technology engineers and data scientists who are building our state-of-the-art predictive forecasting platform, ensuring the tool perfectly aligns with business needs. Alongside this, you will deploy modern AI solutions to automate complex financial workflows and transform ambiguous, disparate data into standardized, cohesive datasets—moving the department away from fragile legacy spreadsheets and toward a highly automated, self-service data ecosystem.

• Partner closely with Technology and Affiliate Finance teams to gather requirements, design, and deploy a robust financial forecasting and planning tool that supports WMG's long-term modeling.
• Spearhead AI and automation initiatives to eliminate manual bottlenecks and streamline workflows across Strategic Finance.
• Enforce data integrity within Strategic Finance by collaborating with data management teams to architect datasets and automate rigorous quality controls.
• Work directly with senior finance collaborators to clarify complex problems and build the right analytical or technology-based approaches using large, dynamic datasets.
• Act as the trusted liaison between Strategic Finance, Technology, and data platform collaborators to ensure all technical solutions perfectly align with business priorities.

• Bachelor’s, Master’s, or PhD in Statistics, Data Science, Computer Science, Applied Mathematics, or a related field.
• 3-5 years of hands-on, practical experience with cloud data platforms (Snowflake, Databricks), Python-based automation, internal app frameworks (Streamlit), BI/reporting tools, workflow automation platforms (Airtable), and AI-assisted development tools.
• Experience helping teams adopt new tools, new processes, and more modern ways of working while staying grounded in business realities.
• Demonstrated ability to lead and implement data science projects with minimal supervision.
• Proficiency in programming languages such as Python or R for data analysis and model development.
• Experience with machine learning frameworks and statistical tools.
• Strong understanding of SQL and working with large datasets.
• Excellent communication skills, with the ability to explain complex concepts to non-technical collaborators.
• Strong problem-solving abilities, with a bias towards action and a proactive approach to finding opportunities and challenges.

• Familiarity with the streaming music landscape or other digital media
• Experience in finance transformation and EPM implementation
• Knowledge of accounting concepts and revenue recognition principles

Click the “Apply” link at the top of the page, or apply directly with your LinkedIn. Applying with LinkedIn will import all of the information you put in your profile, but will still allow you to upload a resume and cover letter.

Don’t be discouraged if you don’t hear from us right away. We’re taking our time to review all resumes, and to find the best people for WMG.

Thanks for your interest in working for WMG. We love it here, and think you will, too.
 

Links to relevant documents:

2026 Benefits At A Glance final.pdf

EVerify Participation Poster.pdf

Right To Work .pdf