Data Scientist (Gen AI) in London

Data Scientist (Gen AI) in London

London Full-Time 60000 - 100000 £ / year (est.) No working from home possible
Nicholson Glover

At a Glance

  • Tasks: Design and deploy bespoke AI agents to solve real-world business challenges.
  • Company: Rapidly growing AI tech scale-up with a focus on innovation.
  • Benefits: Competitive salary, sizeable shares, and hybrid work model.
  • Other info: Collaborative environment with opportunities for hands-on experience and growth.
  • Why this job: Join a pioneering team and make a tangible impact with cutting-edge AI technology.
  • Qualifications: Strong foundation in data science, programming skills, and passion for AI.

The predicted salary is between 60000 - 100000 £ per year.

We are excited to be working with a rapidly growing AI tech scale-up that's expanding its team with a talented Data Scientist or Senior Data Scientist.

The Company

This pioneering company offers an advanced enterprise platform that delivers predictive analytics and AI-powered decision-making. Their digital AI agents provide always-on, intelligent insights, empowering top-tier clients across sectors, including asset management, banking, retail, telecoms, supply chain, and utilities, to dramatically enhance performance and efficiency.

The Role

You'll play a key role in designing and deploying bespoke AI agents in collaboration with leading enterprises. This isn't your typical Data Science position – it's deeply technical, highly collaborative, and focused on delivering real-world impact. You'll help translate complex business challenges into intelligent, scalable solutions powered by cutting-edge AI tools.

The Candidate

  • Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred.
  • Passion for Cutting-Edge AI – You actively experiment with and apply modern AI technologies such as LLMs, RAGs, co-pilots, agentic workflows (heavily desired), and more.
  • Client-Centric Problem Solver – You're confident engaging with clients and stakeholders, able to translate complex business problems into elegant, scalable AI solutions. You've played a hands-on role in architecting and delivering real-world deployments.

Data Scientist (Gen AI) in London employer: Nicholson Glover

Join a dynamic AI tech scale-up in London that champions innovation and collaboration, offering a unique opportunity for Data Scientists to work on cutting-edge projects with significant real-world impact. With a hybrid work model and a competitive salary package including sizeable shares, the company fosters a culture of growth and creativity, empowering employees to push the boundaries of AI technology while engaging directly with top-tier clients across various sectors.

Nicholson Glover

Contact Details:

Nicholson Glover Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Scientist (Gen AI) in London

Tip Number 1

Network like a pro! Get out there and connect with people in the AI and data science community. Attend meetups, webinars, or industry events to meet potential employers and showcase your passion for cutting-edge AI.

Tip Number 2

Show off your skills! Create a portfolio that highlights your projects and experiments with modern AI technologies. This is your chance to demonstrate your strong foundations in data science and your ability to solve real-world problems.

Tip Number 3

Practice makes perfect! Prepare for interviews by brushing up on your technical skills and problem-solving abilities. Be ready to discuss how you've tackled complex business challenges and delivered scalable AI solutions.

Tip Number 4

Apply through our website! We’re always on the lookout for talented individuals who are passionate about AI. Don’t miss out on the opportunity to join a pioneering company that’s making waves in the industry.

We think you need these skills to ace Data Scientist (Gen AI) in London

Data Science Foundations
Statistics
Machine Learning
Python Programming
AI Technologies
LLMs (Large Language Models)
RAGs (Retrieval-Augmented Generation)

Some tips for your application 🫡

Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Data Scientist role. Highlight your strong foundations in statistics, machine learning, and any relevant AI technologies you've worked with.

Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about cutting-edge AI. Share specific examples of how you've solved complex problems in previous roles, especially those that involved client engagement.

Showcase Your Technical Skills:Don’t shy away from detailing your programming skills, particularly in Python. If you've worked with LLMs or agentic workflows, make sure to mention these experiences as they’re highly desired for this position.

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

How to prepare for a job interview at Nicholson Glover

Know Your Data Science Foundations

Brush up on your statistics and machine learning concepts. Be ready to discuss how you've applied these in real-world scenarios, especially using Python. The interviewers will want to see that you have a solid grounding in the fundamentals.

Show Your Passion for AI

Be prepared to talk about the latest AI technologies you've experimented with, like LLMs or agentic workflows. Share specific examples of projects where you've implemented these tools, as this will demonstrate your enthusiasm and hands-on experience.

Client Engagement is Key

Since this role involves working closely with clients, practice articulating how you've solved complex business problems in the past. Think of examples where you translated technical solutions into client-friendly language, showcasing your ability to engage effectively with stakeholders.

Collaborative Mindset

This position is highly collaborative, so be ready to discuss your experience working in teams. Highlight instances where you've contributed to group projects or worked alongside other departments to deliver impactful AI solutions. Show that you're not just a lone wolf but a team player.