At a Glance
- Tasks: Shape pricing strategies and deliver analytics solutions in a dynamic media environment.
- Company: Join a global media business focused on revenue management and commercial visibility.
- Benefits: Hybrid work model, competitive pay, and opportunities for professional growth.
- Other info: Collaborative agile environment with diverse challenges and career advancement potential.
- Why this job: Make an impact by translating data into actionable insights for pricing decisions.
- Qualifications: Strong SQL and Python skills, with experience in pricing and stakeholder management.
The predicted salary is between 50000 - 70000 € per year.
HYBRID (1-2 DAYS PER MONTH IN THE OFFICE - LONDON) 7 MONTH CONTRACT
THE COMPANY: Join a global media business with a key focus on improving commercial visibility, pricing strategy, and revenue management processes.
THE ROLE: As a Data Scientist, you will work closely with commercial stakeholders across a specific European market to help shape and deliver revenue management and pricing analytics solutions. Each market is at a different stage of maturity, meaning this role will combine structured delivery work with more exploratory and discovery-led problem solving. You will be responsible for translating commercial questions into analytical requirements, building dashboards and reporting solutions, and supporting wider pricing and revenue optimisation initiatives.
As a Data Scientist, your key responsibilities will include:
- Building analytical solutions to support pricing and revenue management decisions
- Developing dashboards and reporting outputs in Tableau
- Writing complex SQL scripts and exploratory analyses
- Conducting advanced analysis around pricing, inventory demand, capacity forecasting, and commercial performance
- Working with stakeholders to understand business challenges and translate them into data requirements
- Supporting the creation of tools and frameworks that influence pricing decisions across multiple markets
- Collaborating within an agile squad environment alongside Data Scientists, Analytics Engineers, and commercial stakeholders
- Presenting findings to both technical and non-technical audiences
YOUR SKILLS AND EXPERIENCE: The successful candidate will have:
- Strong hands‑on SQL experience
- Python experience for advanced modelling, forecasting, optimisation, or exploratory analytics
- Experience working on pricing, revenue management, commercial analytics, or forecasting projects
- Strong stakeholder management and communication skills
- Experience working closely with commercial or operational teams
- The ability to translate business problems into analytical solutions
- Experience working within agile squads and cross‑functional environments
- Comfort working with ambiguity and helping shape early‑stage analytical initiatives
- Experience within media or advertising environments would be highly beneficial
Data Scientist (Pricing) employer: Harnham
Join a dynamic global media business that prioritises innovation and collaboration, offering a hybrid work model that promotes flexibility while fostering a vibrant office culture in London. As a Data Scientist, you will have the opportunity to engage with diverse commercial stakeholders, driving impactful pricing strategies and revenue management solutions, all while benefiting from continuous professional development and a supportive team environment. With a focus on employee growth and a commitment to excellence, this role provides a unique chance to make a meaningful impact in a rapidly evolving industry.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist (Pricing)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working in data science or pricing roles. Use platforms like LinkedIn to connect and engage with them; you never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your analytical solutions, dashboards, and any SQL scripts you've written. This will give potential employers a taste of what you can do and set you apart from the competition.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the business side of things. Be ready to discuss how your experience aligns with the role and how you can help improve pricing strategies and revenue management.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining us. Tailor your application to highlight your relevant experience and how you can contribute to our team.
We think you need these skills to ace Data Scientist (Pricing)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Data Scientist (Pricing). Highlight your SQL and Python skills, and any relevant experience in pricing or revenue management. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how you can contribute to our team. Don’t forget to mention your experience with stakeholders and agile environments – we love that!
Showcase Your Analytical Skills:In your application, give examples of how you've tackled complex problems using data. Whether it's building dashboards or conducting advanced analyses, we want to see your thought process and results. Make it clear how you can help us improve our pricing strategies!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates. Plus, it shows you're keen on joining our team at StudySmarter!
How to prepare for a job interview at Harnham
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss complex queries you've written and how they’ve helped solve business problems. Practising some real-world scenarios can really help you articulate your thought process.
✨Showcase Your Analytical Mindset
Prepare to discuss specific projects where you've used Python for advanced modelling or forecasting. Think about how you approached the problem, the tools you used, and the impact of your findings. This will demonstrate your ability to translate commercial questions into analytical solutions.
✨Understand the Business Context
Research the company’s pricing strategies and revenue management processes. Being able to speak knowledgeably about their current challenges and how your skills can help them will set you apart. It shows that you’re not just a data whiz but also understand the commercial side of things.
✨Prepare for Stakeholder Interaction
Since this role involves working closely with commercial stakeholders, think about examples where you've successfully communicated complex data insights to non-technical audiences. Practise explaining your findings in simple terms, as this will be crucial in your role.
