At a Glance
- Tasks: Lead data science projects and deliver machine learning solutions in finance.
- Company: Boutique financial consulting firm with a collaborative culture.
- Benefits: Competitive salary, inclusive environment, and opportunities for professional growth.
- Other info: Encouraging diverse talent to apply and supporting accessibility needs.
- Why this job: Shape the future of finance with impactful data science work.
- Qualifications: Experience in Python, machine learning, and cloud platforms like Azure or AWS.
The predicted salary is between 60000 - 80000 £ per year.
We're partnered with a boutique financial consulting firm seeking experienced Data Scientists to join their growing data practice in London. Known for their collaborative culture and high-impact work with leading financial institutions, this is a rare opportunity to take ownership of complex data science challenges while shaping the direction of a high-performing team.
You'll lead end-to-end delivery of machine learning solutions - from early proof-of-concept through to production - working alongside engineers, domain experts, and business stakeholders across the financial services sector.
- Taking ownership of data science projects from initial concept and rapid prototyping through to live production deployment.
- Building and iterating on machine learning models that address real-world business problems across financial services.
- Partnering with engineering, business, and domain teams to bridge the gap between commercial goals and technical solutions.
- Serving as the go-to expert on ML system design, model tuning, and bringing solutions to production at scale.
- Proven ability to build and ship production-ready data science solutions using Python and the wider ML ecosystem.
- Deep practical knowledge of applied machine learning, spanning model development through to data engineering.
- Comfortable working across major cloud platforms (Azure, AWS or GCP) with hands-on exposure to tools like Spark, Hive or Redshift.
- Experience with MLOps practices - CI/CD, model monitoring, DevOps integration.
We encourage underrepresented talent to apply to all our roles & support accessibility needs.
Tech Data Scientist in London employer: Primis
Join a boutique financial consulting firm in London that champions a collaborative culture and offers high-impact work with leading financial institutions. As a Tech Data Scientist, you'll enjoy the opportunity to take ownership of complex data science challenges while benefiting from a supportive environment that fosters professional growth and innovation. With a focus on diversity and inclusion, this firm actively encourages underrepresented talent to apply, ensuring a rich and varied workplace where your contributions truly matter.
StudySmarter Expert Advice🤫
We think this is how you could land Tech Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working at the firm you're eyeing. A friendly chat can open doors and give you insider info that could set you apart.
✨Tip Number 2
Showcase your skills! Prepare a portfolio of your best projects, especially those involving machine learning solutions. 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 mentors can help you articulate your thoughts clearly and confidently.
✨Tip Number 4
Apply through our website! We love seeing applications directly from candidates who are genuinely interested in joining us. Plus, it shows initiative and enthusiasm, which are always attractive to employers.
We think you need these skills to ace Tech Data Scientist in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the job description. Highlight your experience with machine learning, Python, and any cloud platforms you've worked on. We want to see how your skills align with the role!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for data science and how you’ve tackled complex challenges in the past. Let us know why you’re excited about this opportunity and how you can contribute to our team.
Showcase Your Projects:If you’ve got any projects that demonstrate your data science skills, don’t hold back! Include links or descriptions of your work, especially those involving machine learning solutions. We love seeing real-world applications of your expertise.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Primis
✨Know Your Data Science Stuff
Make sure you brush up on your machine learning concepts and tools. Be ready to discuss your experience with Python, cloud platforms like Azure or AWS, and any MLOps practices you've used. The more specific examples you can provide about your past projects, the better!
✨Showcase Your Collaboration Skills
Since this role involves working closely with engineers and business stakeholders, be prepared to talk about how you've successfully collaborated in the past. Share examples of how you’ve bridged the gap between technical solutions and commercial goals.
✨Prepare for Technical Questions
Expect some technical questions during the interview. Practice explaining your approach to building and deploying machine learning models, and be ready to dive into details about model tuning and system design. This is your chance to shine as the go-to expert!
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team dynamics, the types of projects you'll be working on, and how success is measured in this role. This shows your genuine interest and helps you assess if the company is the right fit for you.
