At a Glance
- Tasks: Dive into data to uncover insights that drive strategic change in the music industry.
- Company: Join Warner Music Group, a global leader in music innovation and creativity.
- Benefits: Enjoy a vibrant culture with opportunities for growth and collaboration in a diverse environment.
- Why this job: Combine your love for music with cutting-edge data science to make a real impact.
- Qualifications: Strong skills in Python, statistical analysis, and machine learning are essential.
- Other info: Open to all backgrounds; we value diversity and inclusion in our team.
The predicted salary is between 36000 - 60000 £ per year.
Data Scientist
Job Description:
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 know that each talent makes our collective bolder and brighter. We are guided by four core principles that underpin everything we do across all our diverse businesses:
Music is Everything: Music is our passion, and we can never get enough. Tastes, trends, and tech will change, but great artists and songwriters will always be our driving force.
Global Growth, Local Expertise: Music is a global language. Through communication and collaboration, our success can come from anywhere and translate everywhere.
Innovation and Insight: Pushing the boundaries requires the best information and the boldest imagination. We use both to create the future.
Empowered by People: Like the artists we serve and the music they make, our differences make us stronger. This is a place where every talent can belong and build a career.
We remain committed to Diversity, Equity, and Inclusion. We know it fosters a culture where you can truly belong, contribute, and grow. We encourage applications from people of any age, gender identity, sexual orientation, race, religion, ethnicity, disability, veteran status, and any other characteristic or identity.
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.
Job Title: Data Scientist
A little bit about our team:
The Analysis & Insight team sits centrally and delivers clear and actionable recommendations across the business including the frontline & catalogue labels, commercial & finance.
Your role:
You are a music lover who understands this unconventional industry; driven and innovative, you think out of the box and are always looking for new techniques to explore data and deliver insight.
Here you’ll get to:
- Pro-actively support the business by gathering data and, using advanced statistical techniques, communicate key insights that lead to strategic change
- Apply statistical and machine learning techniques to large datasets to uncover patterns, trends, and predictive insights
- Create compelling data visualisations to help communicate insight to non-technical stakeholders
- Ensure data accuracy and consistency by collaborating with data engineering teams
- Support WMUK by automating existing manual reporting
- Stay up-to-date with industry trends, emerging trends and best practices
About you:
Data Science
- Strong proficiency in Python and its associated data science libraries (e.g. Pandas, NumPy, scikit-learn, TensorFlow, PyTorch) and data visualisation libraries (e.g. Plotly, Dash)
- Strong knowledge of statistical analysis and data visualization techniques
- Strong knowledge of machine learning algorithms, including supervised and unsupervised
- Strong knowledge of machine learning interpretation, evaluation and explanation practices
Data Engineering
- Experience with data extraction, transformation, and processing
- Proficiency in SQL for data extraction and manipulation
- Experience designing, building, and maintaining ETL processes and data pipelines for datasets from various sources, including website scraping, social media APIs, and internal systems
- Experience with Docker and other relevant tools for deploying and scaling data pipelines and machine learning models a benefit
Additional Technical Skills
- Experience with Python web development frameworks, particularly Django
- Experience with Git for version control
- Familiarity with Snowflake or Databricks is a benefit, especially familiarity with Snowpark or PySpark Python libraries
- Experience with big data technologies and cloud platforms (e.g., AWS, Azure) is a benefit
- Familiarity with time series modelling techniques a benefit
Soft Skills
- Excellent problem-solving and critical thinking skills, with the ability to analyse complex datasets and derive meaningful insights
- Strong communication skills, both written and verbal, with the ability to present complex findings to technical and non-technical stakeholders
- Experience working and communicating with various non-technical stakeholders, including C-suite, social media managers, and commercial managers
- Highly organized, detail-oriented, and able to manage multiple projects and prioritise effectively
- Ability to stay updated on new trends, tools, and methodologies in data science and data engineering
We’d love it if you also had:
- Degree in Data Science, Computer Science, Statistics, or a related quantitative discipline might be helpful but not essential
About us:
As the home to Asylum, Atlantic, East West, Elektra, FFRR, Fueled by Ramen, Nonesuch, Parlophone, Rhino, Roadrunner, Sire, Warner Records, Warner Classics,#J-18808-Ljbffr
Data Scientist employer: Warner Music Group
Contact Detail:
Warner Music Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarize yourself with the music industry and its unique challenges. Understanding the nuances of how data impacts decision-making in this field will set you apart from other candidates.
✨Tip Number 2
Showcase your ability to communicate complex data insights to non-technical stakeholders. Prepare examples of how you've done this in the past, as effective communication is key in this role.
✨Tip Number 3
Stay updated on the latest trends in data science and machine learning, especially those relevant to the music industry. Mention any recent projects or tools you've explored that align with these trends.
✨Tip Number 4
Highlight your experience with data visualization tools and techniques. Being able to create compelling visual representations of data can significantly enhance your application.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, machine learning, and data visualization techniques. Use specific examples that demonstrate your ability to analyze complex datasets and derive meaningful insights.
Craft a Compelling Cover Letter: In your cover letter, express your passion for music and how it drives your work in data science. Mention your understanding of the music industry and how you can contribute to Warner Music Group's goals through innovative data analysis.
Showcase Relevant Projects: Include any relevant projects or experiences that showcase your skills in statistical analysis, machine learning, and data engineering. Highlight any specific tools or libraries you've used, such as TensorFlow or SQL.
Emphasize Soft Skills: Don't forget to mention your soft skills, such as problem-solving, communication, and organization. Provide examples of how you've effectively communicated complex findings to non-technical stakeholders in previous roles.
How to prepare for a job interview at Warner Music Group
✨Show Your Passion for Music
Since Warner Music Group values music as a core principle, make sure to express your love for music during the interview. Share how your passion for music influences your work and how it drives your interest in data science within the music industry.
✨Demonstrate Your Technical Skills
Be prepared to discuss your proficiency in Python and its libraries, as well as your experience with SQL and machine learning algorithms. Bring examples of past projects where you applied these skills, especially those that involved data visualization and statistical analysis.
✨Communicate Clearly with Non-Technical Stakeholders
Since you'll need to present complex findings to both technical and non-technical stakeholders, practice explaining your insights in simple terms. Use clear visuals to support your points and ensure that your communication style is engaging and accessible.
✨Stay Updated on Industry Trends
Research current trends in data science and the music industry before your interview. Be ready to discuss how emerging technologies and methodologies can impact Warner Music Group and how you can contribute to their innovative approach.