At a Glance
- Tasks: Build and improve data-driven products for better customer experiences.
- Company: Join a leading music technology company shaping the future of creativity.
- Benefits: Competitive salary, flexible work options, and opportunities for growth.
- Other info: Collaborative environment with a focus on creativity and measurable outcomes.
- Why this job: Make a real impact in the music industry with your data skills.
- Qualifications: Experience in data products, strong SQL skills, and great communication.
The predicted salary is between 45000 - 55000 £ per year.
We are looking for a Data Product Developer to build, maintain, and improve data-driven product capabilities across customer, commerce, content, and digital product experiences. This role turns business and customer data into practical tools, workflows, dashboards, integrations, or product features that support better decisions and better customer outcomes.
What You'll Do
- Develop data products, reporting layers, integrations, or workflow tools that support product, commerce, marketing, and customer-facing teams.
- Partner with stakeholders to clarify business needs and translate them into maintainable technical solutions.
- Improve the reliability, usability, and accessibility of product and customer data.
- Support analytics, experimentation, segmentation, personalization, or operational reporting where appropriate.
- Work with engineering, product, marketing, e-commerce, and business systems teams to align data models and workflows.
- Identify opportunities to reuse data capabilities across inMusic brands.
- Document data logic, assumptions, and usage patterns clearly.
What You Bring
- Experience building data products, internal tools, analytics workflows, integrations, or product-facing data features.
- Strong SQL, scripting, API, data modeling, or BI/reporting capability.
- Ability to work with ambiguous business questions and turn them into useful, practical solutions.
- Understanding of customer, commerce, product usage, or digital experience data.
- Strong communication skills with both technical and non-technical stakeholders.
- Bias toward maintainability, clarity, and measurable business impact.
Why Join Us
- Work on products and platforms used by creators, producers, performers, DJs, and musicians around the world.
- Help shape the future of music creation technology across a global portfolio of brands.
- Join a practical, creative environment that values clear thinking, customer impact, and measurable outcomes.
StudySmarter Expert Advice🤫
We think this is how you could land Data Product Developer in Cambridge
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like inMusic!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Product Developer at inMusic.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like inMusic.
✨Apply Directly through Our Website
When you find a suitable opening like Data Product Developer at inMusic, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Product Developer in Cambridge
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at inMusic, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at inMusic. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at inMusic
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at inMusic!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
