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For Companies At a Glance
- Tasks: Build predictive models and analyse user journeys to enhance customer engagement.
- Company: Join a leading independent media and entertainment group with iconic brands.
- Benefits: Enjoy a hybrid work model, competitive salary, and additional perks.
- Why this job: Make an impact by driving smarter decisions and optimising audience insights.
- Qualifications: Experience in data science and analytics is essential; passion for customer behaviour is a plus.
- Other info: This role offers the chance to collaborate with diverse teams and influence business strategy.
The predicted salary is between 54000 - 90000 £ per year.
Join one of the world’s largest independent media and entertainment groups, home to iconic brands across audio, publishing, and digital. They’re now hiring Customer Data Scientists to help unlock deeper audience insights, optimise engagement, and drive smarter decision-making across their Audio Division.
What you’ll be doing:
- Build and deploy predictive models to understand customer behaviour, loyalty, and segmentation
- Analyse user journeys across digital and audio platforms to improve engagement
- Support optimisation of ad inventory and revenue through data-driven pricing models
- Work on growth areas like competitions and targeting, identifying who to engage—and why
- Partner closely with teams across product, marketing, and analytics
- Present findings to technical and non-technical stakeholders to influence business strategy
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Customer Data Scientist
✨Tip Number 1
Familiarise yourself with the latest tools and technologies used in data science, particularly those related to predictive modelling and customer analytics. Being well-versed in platforms like Python, R, or SQL will give you an edge when discussing your technical skills during interviews.
✨Tip Number 2
Understand the media and entertainment industry, especially how data influences audience engagement and advertising strategies. Research recent trends and case studies that highlight successful data-driven decisions in similar companies to demonstrate your industry knowledge.
✨Tip Number 3
Prepare to discuss your experience with cross-functional collaboration. Since the role involves partnering with product, marketing, and analytics teams, think of examples where you've successfully worked with diverse groups to achieve a common goal.
✨Tip Number 4
Practice presenting complex data findings in a clear and engaging manner. You may need to explain your insights to both technical and non-technical stakeholders, so honing your communication skills will be crucial for making a strong impression.
We think you need these skills to ace Customer Data Scientist
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities of a Customer Data Scientist. Familiarise yourself with predictive modelling, customer behaviour analysis, and how these skills apply to the media and entertainment industry.
Tailor Your CV: Highlight relevant experience in data science, particularly any work involving predictive models or audience insights. Use specific examples that demonstrate your ability to analyse user journeys and optimise engagement.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data science and its impact on business strategy. Mention your experience working with cross-functional teams and how you can contribute to the company's goals in the audio division.
Showcase Your Technical Skills: Make sure to include any technical skills relevant to the role, such as programming languages (e.g., Python, R), data analysis tools, and experience with data-driven pricing models. This will help demonstrate your capability to support optimisation efforts.
How to prepare for a job interview at Harnham
✨Showcase Your Analytical Skills
As a Customer Data Scientist, you'll need to demonstrate your ability to build and deploy predictive models. Be prepared to discuss specific projects where you've successfully analysed data to derive insights, and explain the methodologies you used.
✨Understand the Business Context
Familiarise yourself with the media and entertainment industry, particularly how data influences customer engagement. Research the company’s brands and think about how your skills can help optimise their ad inventory and revenue.
✨Prepare for Technical Questions
Expect questions that test your technical knowledge in data science, such as statistical methods, machine learning algorithms, and data analysis tools. Brush up on these topics and be ready to solve problems on the spot.
✨Communicate Effectively
You'll need to present findings to both technical and non-technical stakeholders. Practice explaining complex concepts in simple terms, and prepare examples of how you've influenced business strategy through your insights.
