It’s the passionate and dedicated team at Universal Music who help make us the world’s leading music company. From A&R to finance, legal to digital, sales to marketing, Universal Music is the place to grow and develop your career within a truly commercial and innovative business that leads in everything it does.
Everyone is welcome to apply for our roles, and we are determined to ensure that no applicant or employee receives less favourable treatment because of gender, race, disability, sexual orientation, religion, belief, age, marital status, background, pregnancy or caring responsibilities. We also recognise the importance of diversity of thought within our teams and are fully committed to embracing the talents of people with autism, dyslexia, ADHD and other forms of neurocognitive variation.
We will always seek to make appropriate adjustments to recruitment, workplaces, and work processes to be fully inclusive to people with different needs and working styles. If you need us to make any reasonable adjustments for you from application onwards, including alternatives to the online form or to disclose a neurocognitive condition, please email Helen@umusic.com
The A Side: A Day in The Life
Universal Music Group is looking for a Senior Data Scientist to join our Commercial Technologies team, working across prediction, segmentation, optimization, machine learning, adtech and other areas where data and statistical methods can be applied to measurable advantage. Working on interesting high value problems from teams across the business, including frontline labels, A&R, catalogue, commercial, advertising, marketing, operations and our global OPCOs.
The ideal candidate should have a strong statistical background, with a very good understanding of common machine learning techniques. While we encourage the team to use the right tools for the job, candidates should at least be proficient in R or Python & SQL at a minimum.
This candidate should also have a demonstrated ability to manage client requests in a professional manner, communicate research and learnings to a variety of different audience types (from Senior Executives down to fellow Analysts), and work in both project teams and in silo to solve interesting problems in a consultative fashion.
The B Side: Skills & Experience
Combine data sources with insights to monetize our long-tail catalogue
Product Owner for any data driven platforms the Commercial Tech team have built
Create algorithms and prototypes that can be handed over for productionalisation once the value is proven
Research and develop data driven solutions to help solve current and future business problems
Preparing data sets for applications such as classification, modelling and clustering
Occasional analytics dashboard creation
Build/refine/improve new or pre-existing statistical models or processes
Study user behaviour, demographics, content types, and a variety of different music streaming platforms to analyse ways to increase Universal Music’s market share
Advise on data related topics to help guide or inform business decisions
Work with the Commercial Technology team on their core platforms and discover ways of using data to maximise revenue opportunities
Work closely with our Data Science teams across the globe
Supporting other data related teams to design new KPI’s and models to enhance their tooling
Extensive experience of data mining tools and algorithms, machine learning and statistics (e.g. regression, decision trees, neural networks, collaborative filtering, clustering, survival analysis, graph theory or equivalent)
Expert analytic abilities using SQL, R and other tools (e.g. Tableau, MicroStrategy or equivalent)
Working knowledge of cloud-based data environments & tools (e.g. AWS, Big Query, Hadoop or equivalent)
Knowledge of how to use Jira and other project management tools or equivalent
Demonstrated ability to lead data projects from initial problem statement through to benefits realisation
Effective communicator at all levels with great presentation skills
Demonstrated ability to establish and maintain cooperative working relationships with business partners and colleagues
Capable of tackling very loosely defined problems
Creative, outside the box thinking and problem-solving approach
High energy and enthusiasm
Ability to manage multiple projects simultaneously
Strong experience working in a Data Science related role
Experience of managing and engaging with clients in a consultative or analytical capacity
Experience working with development teams to productize work
Bonus Tracks: Your Benefits
Group Personal Pension Scheme (between 3% and 9%)
Private Medical Insurance
25 paid days of annual leave
Interest Free Season Ticket Loan
Holiday Purchase scheme
Dental and Travel Insurance options
Cycle to Work Scheme
Salary Sacrifice Cars
Subsidised Gym Membership
Employee Discounts (Reward Gateway)
Just So You Know…
The company presents this job description as a guide to the major areas and duties for which the jobholder is accountable. However, the business operates in an environment that demands change and the jobholder's specific responsibilities and activities will vary and develop. Therefore, the job description should be seen as indicative and not as a permanent, definitive and exhaustive statement.