At a Glance
- Tasks: Lead data science projects and deliver machine learning solutions for financial services.
- 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 data science in finance and tackle real-world challenges.
- 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.
Data scientist (marketing) 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 Data Scientist, you'll enjoy the opportunity to take ownership of complex projects 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 experience.
StudySmarter Expert Advice🤫
We think this is how you could land Data scientist (marketing) in London
✨Tip Number 1
Network like a pro! Reach out to current employees at the firm or similar companies on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio of your data science projects, especially those involving machine learning. Having tangible examples of your work can really impress during interviews.
✨Tip Number 3
Practice makes perfect! Brush up on common data science interview questions and coding challenges. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data scientist (marketing) 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 with. 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 ability to build and ship production-ready solutions, don’t hold back! Include links or descriptions of your work, especially if it involves machine learning models or data engineering.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
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. They’ll want to see that you can not only talk the talk but also walk the walk when it comes to delivering production-ready solutions.
✨Showcase Your Collaboration Skills
Since this role involves working closely with engineers and business stakeholders, be prepared to share examples of how you've successfully collaborated in the past. Highlight any projects where you bridged the gap between technical and commercial goals, as this will demonstrate your ability to work within their collaborative culture.
✨Prepare for Real-World Scenarios
Expect to tackle some real-world business problems during the interview. Think about specific challenges you've faced in previous roles and how you approached them. This will show that you can take ownership of complex data science challenges and deliver effective solutions.
✨Ask Insightful Questions
Don’t forget to prepare some thoughtful questions about the company’s data practice and their approach to machine learning. This shows your genuine interest in the role and helps you assess if the company is the right fit for you. Plus, it gives you a chance to engage with the interviewers on a deeper level.
