At a Glance
- Tasks: Work with banking experts to solve complex data challenges and build innovative AI systems.
- Company: Fast-growing AI-led fintech start-up transforming financial services.
- Benefits: Competitive salary, equity, hybrid work model, and flexibility.
- Other info: Dynamic environment with opportunities for professional growth and collaboration.
- Why this job: Join a team shaping the future of AI in finance and make a real impact.
- Qualifications: 3+ years in customer-facing data science or engineering roles with strong programming skills.
The predicted salary is between 60000 - 75000 £ per year.
Location: London (Hybrid)
Salary: £60,000 - £75,000 + Equity
Gravitas is recruiting on behalf of a fast-growing, AI-led fintech start-up that’s transforming how financial institutions leverage intelligent systems. They’re looking for a Forward Deployed Engineer / Data Scientist to join their London-based team and become a key contributor to the company’s growth and product evolution.
This is an exciting opportunity for someone with 3+ years’ experience in a customer-facing data science role, who thrives in dynamic environments and enjoys solving complex, real-world problems.
What You’ll Be Doing- Working directly with SMEs in banking and wealth management to extract business logic, often undocumented and distributed across teams.
- Building semantic ingestion systems that prepare data for AI training and deployment.
- Engineering high-efficacy, low-latency outputs, whether in code, documents, or structured checklists.
- Collaborating with AI Engineers to structure agent-based models that generate JSON outputs and populate end-user documents.
- Contributing to productisation efforts and developing technical best practices for scalable delivery.
- Managing stakeholders and technical implementation with clarity and confidence.
- Minimum 3 years’ experience in a customer-facing data science or engineering role.
- Strong programming skills and ability to collaborate effectively with AI Engineers.
- Experience in extracting business logic from domain experts.
- A proactive mindset with a focus on productisation, documentation, and scalable solutions.
- Excellent communication and stakeholder management skills.
- Competitive salary: £60,000 - £75,000
- Equity in a high-growth start-up
- Hybrid working model with flexibility
- A chance to be a core part of a company building the future of AI in financial services
- Work on innovative systems with real-world impact
Forward Deployed Engineer / Data Scientist in London employer: Gravitas Recruitment Group (Global) Ltd
Gravitas is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. With a competitive salary and equity options, employees are not only rewarded for their contributions but also have the opportunity to grow alongside a fast-paced AI-led fintech start-up. The hybrid working model provides flexibility, allowing team members to thrive while making a meaningful impact in transforming financial services.
Contact Details:
Gravitas Recruitment Group (Global) Ltd Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Forward Deployed Engineer / Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to people in the fintech space, especially those who work at companies you're interested in. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects or any relevant work. This is your chance to demonstrate how you solve complex problems and make an impact—perfect for impressing potential employers.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to the role. Think about how you would extract business logic from SMEs or collaborate with AI Engineers. The more prepared you are, the more confident you'll feel!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Forward Deployed Engineer / Data Scientist in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Forward Deployed Engineer / Data Scientist. Highlight your experience in customer-facing data science roles and any relevant projects that showcase your skills in extracting business logic and collaborating with AI Engineers.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're excited about this opportunity and how your proactive mindset aligns with our mission at StudySmarter. Don’t forget to mention specific experiences that demonstrate your problem-solving abilities.
Showcase Your Technical Skills:We want to see your programming prowess! Include examples of your work that demonstrate your ability to engineer high-efficacy outputs and build semantic ingestion systems. If you’ve worked on agent-based models or JSON outputs, make sure to highlight that too!
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. Plus, it’s super easy!
How to prepare for a job interview at Gravitas Recruitment Group (Global) Ltd
✨Know Your Stuff
Make sure you brush up on your data science and engineering skills. Be ready to discuss your experience in customer-facing roles and how you've tackled complex problems. Prepare examples that showcase your ability to extract business logic from domain experts.
✨Showcase Collaboration Skills
Since this role involves working closely with AI Engineers, highlight your teamwork experiences. Think of specific projects where you collaborated effectively, and be prepared to discuss how you can contribute to building semantic ingestion systems.
✨Communicate Clearly
Strong communication is key, especially when managing stakeholders. Practice explaining technical concepts in simple terms. You might even want to prepare a few scenarios where you successfully communicated complex ideas to non-technical audiences.
✨Be Proactive and Solution-Oriented
Demonstrate your proactive mindset by discussing how you've contributed to productisation efforts in the past. Share examples of how you've developed scalable solutions and best practices, showing that you're not just a doer but also a thinker.
