Principal Data Scientist

Principal Data Scientist

Full-Time 80000 - 100000 £ / year (est.) No home office possible
IC Resources

At a Glance

  • Tasks: Lead complex data science projects and mentor a growing team of data scientists.
  • Company: Global leader in data science with a strong presence in London.
  • Benefits: Competitive salary, career growth, and the chance to shape impactful data solutions.
  • Other info: Join a dynamic team focused on innovation and excellence in data science.
  • Why this job: Make a real difference by leveraging data science to drive business decisions.
  • Qualifications: 8+ years in data science, expert Python skills, and leadership experience.

The predicted salary is between 80000 - 100000 £ per year.

An exciting opportunity to work for a leading company with a significant presence globally as part of a growing London-based Data Science team. The company is known for their specialization in complex fields and they have built a reputation for using data science and analytics to improve not only their core business functions but also decision-making across the whole organisation.

You will be an integral part of a skilled technical team with a focus on leveraging data science to support a wide range of business functions. As a Principal Data Scientist, you will be responsible for leading the end-to-end delivery of their most complex and impactful data science processes as well as being a driver in defining and upholding the business’ technical standards. Alongside the leadership of projects, you will also act as a mentor and coach for the growing team of junior and mid-level data scientists, helping them to elevate the overall capability of the team around you.

Key Skills

  • 8+ years of expertise in the fields of data science and machine learning
  • Expert-level Python programming with a focus on implementing diverse statistical and ML techniques
  • Deep theoretical foundation in statistics, experimental design, and advanced modelling
  • Proven track record of deploying end-to-end data science solutions into production
  • Leadership and mentorship capabilities to elevate team performance and technical quality
  • High-level communication skills for effective stakeholder engagement and collaboration
  • Cloud and modern tooling experience (e.g., AWS, Azure, GCP) is highly regarded
  • Industry experience in finance or insurance is a plus, but not a requirement

Principal Data Scientist employer: IC Resources

Join a leading global company that champions innovation and excellence in data science, based in the vibrant city of London. With a strong emphasis on employee growth, you will have the opportunity to mentor emerging talent while working alongside a skilled team dedicated to impactful projects. The collaborative work culture fosters creativity and professional development, making it an ideal environment for those seeking meaningful and rewarding employment.
IC Resources

Contact Detail:

IC Resources Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Principal Data Scientist

✨Tip Number 1

Network like a pro! Reach out to your connections in the data science field, attend meetups, and engage in online forums. You never know who might have the inside scoop on job openings or can refer you directly.

✨Tip Number 2

Showcase your skills! Create a portfolio of your projects and share them on platforms like GitHub. This not only demonstrates your expertise but also gives potential employers a taste of what you can bring to the table.

✨Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common data science interview questions and be ready to discuss your past projects in detail. Confidence is key!

✨Tip Number 4

Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our job listings and make sure your application stands out by tailoring it to the role.

We think you need these skills to ace Principal Data Scientist

Data Science
Machine Learning
Python Programming
Statistical Techniques
Experimental Design
Advanced Modelling
End-to-End Data Science Solutions
Leadership
Mentorship
Communication Skills
Stakeholder Engagement
Cloud Experience
AWS
Azure
GCP

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Principal Data Scientist role. Highlight your 8+ years of experience in data science and machine learning, and don’t forget to showcase your Python programming skills and any relevant projects you've led.

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 leadership and mentorship experience can elevate our team. Be sure to mention any specific tools or cloud platforms you’ve worked with.

Showcase Your Impact: When detailing your past experiences, focus on the impact of your work. Share examples of end-to-end data science solutions you’ve deployed and how they improved decision-making or business functions. Numbers and results speak volumes!

Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team.

How to prepare for a job interview at IC Resources

✨Know Your Data Science Stuff

Make sure you brush up on your data science and machine learning knowledge. Be ready to discuss your experience with Python, statistical techniques, and any end-to-end solutions you've deployed. They’ll want to see that you can not only talk the talk but also walk the walk!

✨Show Off Your Leadership Skills

As a Principal Data Scientist, you'll be expected to lead and mentor others. Prepare examples of how you've successfully led projects or coached team members in the past. Highlight your ability to elevate team performance and technical quality.

✨Communicate Like a Pro

High-level communication skills are key for this role. Practice explaining complex data science concepts in simple terms. Think about how you would engage with stakeholders and ensure you can convey your ideas clearly and effectively.

✨Familiarise Yourself with Cloud Tools

Since cloud experience is highly regarded, make sure you're up to speed with AWS, Azure, or GCP. Be prepared to discuss any relevant projects where you've used these tools, as it shows you’re current with modern data science practices.

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