Lead Data Scientist — ML Solutions for Finance in London
Lead Data Scientist — ML Solutions for Finance

Lead Data Scientist — ML Solutions for Finance in London

London Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and implement innovative data science solutions for the finance sector.
  • Company: Dynamic technology consulting firm based in London.
  • Benefits: Competitive salary, continuous learning opportunities, and a focus on well-being.
  • Why this job: Lead impactful projects and mentor junior talent in a collaborative environment.
  • Qualifications: Experience in Python, applied machine learning, and cloud environments.
  • Other info: Join a growing team with diverse collaboration and career advancement opportunities.

The predicted salary is between 43200 - 72000 £ per year.

A technology consulting firm in London is seeking a Senior Data Scientist to join their expanding Data Practice. The role involves designing and implementing innovative data science solutions primarily for the financial services sector.

Candidates should have substantial experience in Python and applied machine learning, with a strong grasp of cloud environments. This position also includes mentoring junior staff and collaborating with diverse teams to achieve commercial objectives.

A competitive benefits package is provided, emphasizing continuous learning and well-being.

Lead Data Scientist — ML Solutions for Finance in London employer: Capco

As a leading technology consulting firm in London, we pride ourselves on fostering a dynamic work culture that champions innovation and collaboration. Our commitment to employee growth is evident through our competitive benefits package, which prioritises continuous learning and well-being, making us an excellent employer for those looking to make a meaningful impact in the financial services sector.
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Contact Detail:

Capco Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Lead Data Scientist — ML Solutions for Finance in London

Tip Number 1

Network like a pro! Reach out to your connections in the finance and tech sectors. Attend meetups or webinars related to data science; you never know who might be looking for someone with your skills.

Tip Number 2

Show off your skills! Create a portfolio showcasing your best projects, especially those involving Python and machine learning. This will give 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 explaining complex concepts in simple terms, as you'll need to collaborate with diverse teams and mentor junior staff.

Tip Number 4

Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it gives you a better chance to stand out from the crowd.

We think you need these skills to ace Lead Data Scientist — ML Solutions for Finance in London

Python
Applied Machine Learning
Cloud Environments
Mentoring
Collaboration
Data Science Solutions
Financial Services Knowledge
Continuous Learning

Some tips for your application 🫡

Show Off Your Skills: Make sure to highlight your experience with Python and machine learning in your application. We want to see how you've used these skills in real-world projects, especially in the financial services sector.

Tailor Your Application: Don’t just send a generic CV and cover letter. Take the time to tailor your application to our job description. Mention specific projects or experiences that align with what we’re looking for in a Lead Data Scientist.

Be Yourself: We love authenticity! Let your personality shine through in your written application. Share your passion for data science and how you approach problem-solving, as this helps us get to know you better.

Apply Through Our Website: For the best chance of success, make sure to apply through our website. This way, your application goes directly to us, and we can review it promptly. Plus, it shows you’re serious about joining our team!

How to prepare for a job interview at Capco

Know Your Tech Inside Out

Make sure you brush up on your Python skills and applied machine learning techniques. Be ready to discuss specific projects where you've implemented these technologies, especially in financial contexts. This will show that you not only understand the theory but can apply it effectively.

Cloud Savvy is Key

Since the role requires a strong grasp of cloud environments, be prepared to talk about your experience with cloud platforms like AWS or Azure. Highlight any projects where you've leveraged cloud solutions to enhance data science applications, as this will demonstrate your practical knowledge.

Mentorship Matters

As mentoring junior staff is part of the job, think about examples where you've guided others in their learning. Share how you approach mentorship and what strategies you use to help others grow, as this will showcase your leadership potential.

Collaboration is Crucial

This position involves working with diverse teams, so be ready to discuss your experience in collaborative environments. Talk about how you've successfully worked with cross-functional teams to achieve commercial objectives, and emphasise your communication skills.

Lead Data Scientist — ML Solutions for Finance in London
Capco
Location: London

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