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- Tasks: Lead data science initiatives and build innovative solutions from scratch.
- Company: Join a globally recognised brand with a commitment to data excellence.
- Benefits: Enjoy the potential for remote work and future leadership opportunities.
- Why this job: Make a significant impact in a greenfield environment with top-notch data resources.
- Qualifications: Fluency in Python and experience in customer-focused data solutions required.
- Other info: This role offers a unique chance to shape the future of data science within the company.
The predicted salary is between 43200 - 72000 £ per year.
Wyatt Partners are engaged to find a Principal Data Scientist for one of the most recognisable brands on the planet.
This an opportunity to have a tangible impact on the company, and also make your mark in the way the company approaches data science from a standards and infrastructure perspective.
It’s a role of paradoxes to some extent in that for such a recognised global brand, there is a complete blank canvas when it comes to utilising data science for business solutions – therefore we are looking for an individual that would thrive in that ‘greenfield’ environment, charting their own course, with great potential to build a team around them over the next few years.
The data & its quality you will find at the company is excellent. Over 10 million rich, clean and verified customer data records being a highlight as well as numerous other internal & external data sets.
To illustrate the impact this role can have it is only 3 steps away in leadership hierachy from the CEO, which is rare for what is initially and individual contributor role.
Must have experience :
- Fluency with Python
- Track record of building models & providing solutions to complex business problems within a customer focused business – ideally as an employee rather than external consultant
- Experience working on projects around pricing, promotions, customer segmentation’s
Nice to have experience :
- Supply chain analytics & forecasting, logistical analysis
- Natural Language Processing
This isn’t a role for someone who wants to be part of a large team of Data Scientists, or who is looking for lots of direction in terms of the work they are undertaking.
The Successful candidate will be someone who wants to make Data Science their baby within this very well known organisation. If successful, the company can offer a leadership role in return as the division grows, and also a very real chance to add multi- millions to the company’s bottom line in a short space of time, given the quality of data at your disposal
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Principal Data Scientist employer: Wyatt Partners
Contact Detail:
Wyatt Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Data Scientist
✨Tip Number 1
Familiarise yourself with the company's existing data infrastructure and how they currently utilise data science. This will help you identify gaps and opportunities where you can make a significant impact, showcasing your proactive approach during discussions.
✨Tip Number 2
Prepare to discuss specific examples of how you've successfully built models and provided solutions to complex business problems in previous roles. Tailor these examples to align with the company's focus on customer-centric solutions.
✨Tip Number 3
Highlight your experience in a 'greenfield' environment where you've had to chart your own course. Emphasise your ability to work independently and your enthusiasm for building a team around you as the division grows.
✨Tip Number 4
Stay updated on the latest trends in data science, particularly in areas like Natural Language Processing and supply chain analytics. Being knowledgeable about these topics will demonstrate your commitment to innovation and your readiness to lead in this space.
We think you need these skills to ace Principal Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and your track record in building models that solve complex business problems. Emphasise any relevant projects you've worked on, especially those related to pricing, promotions, and customer segmentation.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the opportunity to work in a 'greenfield' environment. Discuss how you plan to utilise the excellent data quality available to drive business solutions and your vision for building a team in the future.
Showcase Relevant Experience: If you have experience in supply chain analytics, forecasting, or natural language processing, make sure to include specific examples of how you've applied these skills in previous roles. This will demonstrate your versatility and ability to contribute to various aspects of the company's data strategy.
Highlight Leadership Potential: Since this role has the potential to evolve into a leadership position, mention any past experiences where you've taken initiative or led projects. This will show that you're not just an individual contributor but also someone who can grow into a leadership role as the division expands.
How to prepare for a job interview at Wyatt Partners
✨Showcase Your Independence
Since this role requires someone who thrives in a greenfield environment, be prepared to discuss your previous experiences where you took initiative and led projects independently. Highlight how you navigated challenges and made impactful decisions without much direction.
✨Demonstrate Technical Proficiency
Fluency in Python is a must for this position. Be ready to discuss specific projects where you've built models or solved complex business problems using Python. If possible, bring examples of your work or explain your thought process behind a successful project.
✨Understand the Business Impact
This role is closely tied to the company's bottom line. Prepare to articulate how your data science solutions can drive business value, particularly in areas like pricing, promotions, and customer segmentation. Use metrics or case studies from your past to illustrate your points.
✨Express Your Vision for Data Science
Since you'll have the opportunity to shape the data science approach within the company, share your vision for how you would like to develop the data science function. Discuss potential strategies for building a team and improving data utilisation, showing that you're forward-thinking and ready to lead.
