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- Tasks: Use data science to drive commercial decisions and uncover revenue opportunities.
- Company: Global MarTech company focused on innovative data solutions.
- Benefits: Competitive salary up to £100,000, hybrid work, and weekly pay.
- Why this job: Make a real impact on sales strategy and customer growth with your insights.
- Qualifications: Strong SQL skills and experience in building revenue-driving models.
- Other info: Dynamic role with potential for contract extension and career advancement.
The predicted salary is between 60000 - 84000 £ per year.
If you enjoy using data science to drive real commercial decisions, this role is worth a look. We are hiring a Senior Data Scientist for our client Global MarTech company to help uncover revenue opportunities across its global customer base. Your models will directly influence sales strategy, campaign targeting, and customer growth. You will work with commercial leaders to identify where the biggest opportunities exist and help teams prioritise the right customers.
The Offer:
- Annual Salary up to £100,000 doe
- 6-month contract - inside IR35 - PAYE - Paid weekly via Principle HR
- Hybrid: Reading (50% onsite) + potential for extension
What you will work on:
- Propensity modelling and predictive analytics
- Customer segmentation and lifetime value modelling
- Revenue forecasting and performance analysis
- Turning complex data into clear business insights
What we are looking for:
- Strong SQL experience working with complex datasets
- Experience building revenue-driving data science models
- Python and Databricks experience beneficial
- Ability to communicate insights to senior stakeholders
Interested? If you would like to apply data science to real commercial impact, apply now or contact Som at Principle HR.
Data Scientist - Commercial / Revenue Analytics in Reading employer: Principle
Contact Detail:
Principle Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Commercial / Revenue Analytics in Reading
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. We can’t underestimate the power of personal connections when it comes to landing that dream job.
✨Tip Number 2
Prepare for interviews by practising common data science questions and case studies. We should also be ready to showcase our projects and how they’ve driven real commercial decisions. Remember, confidence is key!
✨Tip Number 3
Tailor your pitch! When you get the chance to speak with potential employers, make sure to highlight your SQL and Python skills, and how they can help uncover revenue opportunities. We want to show them we’re the perfect fit for their needs.
✨Tip Number 4
Don’t forget to apply through our website! It’s a great way to ensure your application gets noticed. Plus, we often have exclusive roles that might not be advertised elsewhere, so keep an eye out!
We think you need these skills to ace Data Scientist - Commercial / Revenue Analytics in Reading
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL and data science models. We want to see how you've used data to drive commercial decisions, so don’t hold back on those relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about data science and how you can help uncover revenue opportunities. Be specific about your skills in predictive analytics and customer segmentation.
Showcase Your Communication Skills: Since you'll be communicating insights to senior stakeholders, it’s important to demonstrate your ability to convey complex data in a clear and concise manner. Use examples from your past experiences to illustrate this.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s quick and easy, and we can’t wait to see your application!
How to prepare for a job interview at Principle
✨Know Your Data Science Models
Make sure you can discuss your experience with propensity modelling and predictive analytics in detail. Be ready to explain how your models have driven revenue or influenced sales strategies in previous roles.
✨Brush Up on SQL Skills
Since strong SQL experience is a must, practice querying complex datasets before the interview. Prepare examples of how you've used SQL to extract insights that led to commercial decisions.
✨Communicate Clearly with Stakeholders
Think about how you can convey complex data insights to senior stakeholders. Prepare a few examples where your communication made a difference in understanding data-driven decisions.
✨Familiarise Yourself with the Company
Research the Global MarTech company and understand their market position. Knowing their products and how they leverage data science will help you tailor your responses and show genuine interest.