At a Glance
- Tasks: Shape pricing strategies and deliver analytics solutions for a global media business.
- Company: Join a leading global media company focused on revenue management.
- Benefits: Competitive daily rate, hybrid work model, and a dynamic contract role.
- Other info: Opportunity to work in an agile environment with excellent career growth potential.
- Why this job: Make an impact in pricing analytics while collaborating with diverse teams.
- Qualifications: Strong SQL, Tableau, and Python skills; experience in pricing or commercial analytics.
A global media business is seeking a Data Scientist to improve commercial visibility, pricing strategy, and revenue management processes.
Role Overview:
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. This role will combine structured delivery work with exploratory and discovery-led problem solving.
Key Responsibilities:
- Building analytical solutions to support pricing and revenue management decisions
- Developing dashboards and reporting outputs in Tableau
- Writing complex SQL scripts and conducting 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
Skills and Experience:
- Strong hands-on SQL experience
- Strong Tableau 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
How to Apply:
Please register your interest by sending your CV to Mojola Coker via the apply link on this page.
Data Scientist (Pricing) employer: Harnham - Data & Analytics Recruitment
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'll have the opportunity to engage with diverse commercial stakeholders, driving impactful pricing strategies and revenue management solutions, all while benefiting from professional growth opportunities and a supportive team environment that values your contributions.
Contact Detail:
Harnham - Data & Analytics Recruitment Recruiting Team
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 working in pricing or data science roles. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your analytical solutions, dashboards, and any relevant projects. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and Tableau skills. Be ready to discuss how you've tackled real-world problems with data. Practice explaining complex concepts in simple terms – it’ll impress both technical and non-technical folks!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and engaged with our platform.
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, Tableau, and Python skills, and showcase any relevant experience in pricing or revenue management. We want to see how you can bring value to our team!
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 your background aligns with our needs. Don’t forget to mention your experience working with stakeholders and translating business challenges into analytical solutions.
Showcase Your Projects:If you've worked on any projects related to pricing analytics or revenue management, make sure to include them in your application. We love seeing real-world examples of your work, especially if they demonstrate your ability to build dashboards or conduct advanced analyses.
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 don’t miss out on any important updates. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Harnham - Data & Analytics Recruitment
✨Know Your SQL Inside Out
Since strong hands-on SQL experience is a must for this role, make sure you brush up on your SQL skills. Prepare to discuss complex queries you've written in the past and be ready to solve a SQL problem on the spot during the interview.
✨Showcase Your Tableau Skills
As you'll be developing dashboards and reporting outputs in Tableau, bring examples of your previous work. If possible, prepare a mini portfolio that highlights your best visualisations and be ready to explain your design choices and the insights they provided.
✨Understand the Business Context
This role involves translating commercial questions into analytical requirements. Research the company’s pricing strategies and revenue management processes beforehand. Be prepared to discuss how your analytical solutions can directly impact their business challenges.
✨Communicate Clearly with Stakeholders
Strong stakeholder management and communication skills are essential. Practice explaining complex data concepts in simple terms. Think of examples where you've successfully collaborated with non-technical teams and how you made your findings accessible to them.
