At a Glance
- Tasks: Lead the development of geospatial and movement intelligence products to solve real-world problems.
- Company: High-growth tech business focused on advanced data science and machine learning.
- Benefits: Competitive salary, equity options, hybrid work model, and opportunities for professional growth.
- Other info: Dynamic role in a fast-paced environment with significant career advancement potential.
- Why this job: Make a real impact by optimising operations and influencing business performance with data.
- Qualifications: Strong Python and SQL skills, experience with geospatial data, and excellent communication abilities.
The predicted salary is between 120000 - 140000 £ per year.
At Data Idols, we are working with a high‑growth technology business using advanced data science, machine learning and operational intelligence to solve complex real‑world movement and optimisation problems at scale. They are now looking for a Staff Data Scientist to lead the development of geospatial and movement intelligence products that sit at the heart of the business.
The Opportunity
This is a highly strategic individual contributor role focused on geospatial data, routing intelligence and operational optimisation. You will own the roadmap and technical direction for a critical data product area, helping the business better understand movement patterns, improve operational efficiency and build intelligent systems powered by real‑world geographic data. You will work closely with Engineering, Product, Operational Research and Data Science teams, building scalable datasets, production‑grade models and reusable data products used across the organisation. This role suits someone who enjoys solving ambiguous technical problems, working with large‑scale operational datasets and building products that directly influence business performance.
Skills and experience
- Strong Python and SQL skills
- Experience working with geospatial, routing or movement‑related data
- Experience building production‑grade data products or ML systems
- Strong stakeholder management and communication skills
- Experience working with large, complex or unstructured datasets
- Experience operating in fast‑moving environments
Staff Data Scientist. Job in London LilyLifestyle Jobs employer: United Cerebral Palsy of Georgia
At Data Idols, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our London-based team enjoys competitive salaries, equity options, and the opportunity to work on cutting-edge data science projects that have a real-world impact. We are committed to employee growth, providing ample opportunities for professional development and the chance to lead strategic initiatives in a high-growth technology environment.
Contact Details:
United Cerebral Palsy of Georgia Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Staff Data Scientist. Job in London LilyLifestyle Jobs
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working at Data Idols or similar companies. A friendly chat can open doors and give you insider info that could help you stand out.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your work with geospatial data, routing intelligence, or any relevant projects. This will not only demonstrate your expertise but also give you something tangible to discuss during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions related to data science and machine learning. Mock interviews with friends or using online platforms can help you articulate your thoughts clearly and confidently.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in the role and the company. Don’t miss out on this opportunity!
We think you need these skills to ace Staff Data Scientist. Job in London LilyLifestyle Jobs
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Staff Data Scientist role. Highlight your experience with geospatial data, Python, and SQL. We want to see how your skills align with the job description, so don’t hold back!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data science and how your background makes you the perfect fit for this role. Let us know what excites you about working with movement intelligence.
Showcase Your Projects:If you've worked on relevant projects, make sure to mention them! Whether it's building production-grade models or handling large datasets, we want to see examples of your work that demonstrate your expertise in solving complex problems.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at United Cerebral Palsy of Georgia
✨Know Your Data Inside Out
Make sure you’re well-versed in geospatial data and routing intelligence. Brush up on your Python and SQL skills, and be ready to discuss how you've used these tools in past projects. Prepare examples that showcase your experience with large datasets and how you've solved complex problems.
✨Showcase Your Problem-Solving Skills
This role is all about tackling ambiguous technical challenges. Think of specific instances where you've successfully navigated uncertainty in data science projects. Be prepared to walk through your thought process and the methodologies you employed to reach a solution.
✨Communicate Effectively
Strong stakeholder management is key for this position. Practice explaining complex concepts in simple terms, as you’ll need to collaborate with various teams. Consider preparing a few anecdotes that highlight your communication skills and how you’ve worked with cross-functional teams in the past.
✨Understand the Business Impact
Be ready to discuss how your work can influence business performance. Research the company’s goals and think about how your expertise in operational optimisation and movement patterns can contribute to their success. This shows you’re not just a tech whiz but also understand the bigger picture.
