Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Sr. Data Scientist London, UK

Galytix Limited
London
1 month ago
Create job alert

Galytix (GX) is delivering on the promise of AI.

GX has built specialised knowledge AI assistants for the banking and insurance industry. Our assistants are fed by sector-specific data and knowledge and easily adaptable through ontology layers to reflect institution-specific rules.

GX AI assistants are designed for Individual Investors, Credit and Claims professionals. Our assistants are being used right now in global financial institutions. Proven, trusted, non-hallucinating, our assistants are empowering financial professionals and delivering 10x improvements by supporting them in their day-to-day tasks.

Responsibilities:

  • Contributing by processing, analyzing, and synthesizing information applied to a live client problem at scale.
  • Developing machine learning models to extract insights from both structured and unstructured data in areas such as NLP and Computer Vision.
  • The role requires skills in both prototyping and developing individual solutions but also implementation and integration in a production environment.

Desired Skills:

  • A university degree in Mathematics, Computer Science, Engineering, Physics or similar.
  • 6+ years of relevant experience in several areas of Data Mining, Classical Machine Learning, Deep Learning, NLP and Computer Vision.
  • Experience with Large Scale/ Big Data technology, such as Hadoop, Spark, Hive, Impala, PrestoDb.
  • Hands-on capability developing ML models using open-source frameworks in Python and R and applying them on real client use cases.
  • Proficient in one of the deep learning stacks such as PyTorch or Tensorflow.
  • Working knowledge of parallelisation and async paradigms in Python, Spark, Dask, Apache Ray.
  • An awareness and interest in economic, financial and general business concepts and terminology.
  • Excellent written and verbal command of English.
  • Strong problem-solving, analytical and quantitative skills.
  • A professional attitude and service orientation with the ability to work with our international teams.
  • Experience in leading a team is an advantage.

Why You Do Not Want to Miss This Career Opportunity:

  • We are a mission-driven firm that is revolutionising the Insurance and Banking industry. We are not aiming to incrementally push the current boundaries; we redefine them.
  • Customer-centric organisation with innovation at the core of everything we do.
  • Capitalize on an unparalleled career progression opportunity.
  • Work closely with senior leaders who have individually served several CEOs in Fortune 100 companies globally.
  • Develop highly valued skills and build connections in the industry by working with top-tier Insurance and Banking clients on their mission-critical problems and deploying solutions integrated into their day-to-day workflows and processes.


#J-18808-Ljbffr

Related Jobs

View all jobs

Sr Data Scientist (London)

Sr Data Scientist (London)

Sr Data Scientist (London)

Sr Data Scientist

Sr. Data Scientist, GenAI Algorithms (Based in Dubai)

Sr. Data Scientist, GenAI Algorithms (Based in Dubai)

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.