Senior Data Scientist

RLDatix
Richmond
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist - Consumer Behaviour – exciting ‘scale up’ proposition

Senior Data Scientist – Machine Learning -  Defence – Eligible for SC

Senior Data Scientist - Commercial

Senior Data Scientist role - Financial Services | Guildford £80k

Senior Data Scientist - Operational Research & Optimisation

Senior Data Scientist (Generative AI) - RELOCATION TO ABU DHABI

RLDatix is on a mission to transform care delivery worldwide, ensuring every patient receives the safest, highest-quality care. Through our innovative Healthcare Operations Platform, we're connecting data to unlock trusted insights that enable improved decision-making and help deliver safer healthcare for all.


At RLDatix we’re making healthcare safer, together. Our shared passion for meaningful work drives us, while a supportive, respectful culture makes it all possible. As a team, we collaborate globally to reach our ultimate goal—helping people.


We’re searching for a UK-based Senior Data Scientist to join our Data Platform team, so that we can build and scale innovative data science solutions that power critical decisions across our organization. The Senior Data Scientist will lead the development of machine learning models and intelligent data systems to support RLDatix’s mission of enabling safer, more efficient healthcare worldwide.


 


How You’ll Spend Your Time


  • Designing and developing machine learning models, large language models, and algorithms to deliver meaningful insights from large datasets.
  • Establishing and maintaining ETL workflows and data pipelines in order to ensure data consistency, quality, and usability across the platform.
  • Optimizing machine learning models and AI systems to maximize performance, scalability, and real-world accuracy.
  • Explaining complex data science concepts in order to engage stakeholders and promote data-driven decision-making across departments.
  • Collaborating with engineers, QA, and product teams to align models and infrastructure with business goals.


What Kind of Things We’re Most Interested in You Having


  • A bachelor's or master's degree in computer science, Data Science, AI, Software Engineering, or a related field is preferred.  
  • 5+ years of experience in a data-science related role, with hands-on experience in data science engineering. 
  • Proficiency in programming languages such as Python and SQL. 
  • Experience with data processing and analysis tools and technologies like TensorFlow, Keras, Scikit-learn. 
  • Strong understanding of large language models (LLMs) and machine learning (ML) algorithms and techniques. 
  • Familiarity with data visualization tools such as Power BI. 
  • Solid understanding of statistical analysis and hypothesis testing. 
  • Ability to work with structured and unstructured data sources. 
  • Knowledge of cloud computing platforms (AWS, Azure) and data security measures, including compliance with data governance standards and big data technologies.  
  • Experience with Databricks and Mosaic AI is plus.  



By enabling flexibility in how we work and prioritizing employee wellness, we empower our team to do and be their best.


RLDatix is an equal opportunity employer, and our employment decisions are made without regard to race, color, religion, age, gender, sexual identity, national origin, disability, handicap, marital status or any other status or condition protected by UK law.


As part of RLDatix’s commitment to the inclusion of all qualified individuals, we ensure that persons with disabilities are provided reasonable accommodation in the job application and interview process. If reasonable accommodation is needed to participate in either step, please don’t hesitate to send a note to

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

How to Write a Winning Cover Letter for Machine Learning Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for machine learning jobs with this proven 4-paragraph structure. Ideal for entry-level candidates, career switchers, and professionals looking to advance in the machine learning sector. When applying for a machine learning job, your cover letter is a vital part of your application. Machine learning is an exciting and rapidly evolving field, and your cover letter offers the chance to demonstrate your technical expertise, passion for AI, and your ability to apply machine learning techniques to solve real-world problems. Writing a cover letter for machine learning roles may feel intimidating, but by following a clear structure, you can showcase your strengths effectively. Whether you're just entering the field, transitioning from another role, or looking to advance your career in machine learning, this article will guide you through a proven four-paragraph structure. We’ll provide practical tips and sample lines to help you create a compelling cover letter that catches the attention of hiring managers in the machine learning job market.

Veterans in Machine Learning: A Military‑to‑Civilian Pathway into AI Careers

Introduction Artificial intelligence is no longer relegated to sci‑fi films—it underpins battlefield decision‑support, fraud detection, and even supermarket logistics. The UK Government’s 2025 AI Sector Deal forecasts an additional £200 billion in GDP by 2030, with machine‑learning (ML) engineers cited as the nation’s second most in‑demand tech role (Tech Nation 2024). The Ministry of Defence’s Defence AI Strategy echoes that urgency, earmarking £1.6 billion for FY 2025–28 to embed ML into planning, logistics, and autonomous systems. If you have ever tuned a radar filter, plotted artillery trajectories, or sifted sensor data for actionable intel, you have already worked with statistical modelling—the backbone of machine learning. This guide shows UK veterans how to reframe military experience for ML roles, leverage MoD transition funding, and land high‑impact positions building the models shaping tomorrow’s defence and commercial landscapes. Quick Win: Bookmark our live board for Machine‑Learning Engineer roles to see who’s hiring today.

Rural-Remote Machine Learning Jobs: Finding Balance Beyond the Big Cities

Over the past decade, machine learning (ML) has transformed from a niche research domain into a pervasive technology underpinning everything from recommendation systems and voice assistants to financial forecasting and autonomous vehicles. Historically, the UK’s major tech hubs—particularly London—have been magnets for top ML talent and corporate headquarters. However, remote work has become mainstream, and many ML professionals are realising they can excel in their field while living far beyond the city limits. At MachineLearningJobs.co.uk, we’ve observed a growing interest in positions that allow for a rural lifestyle or a coastal environment, often reflected in search terms like “ML remote countryside” or “tech jobs by the sea.” This surge is no coincidence. Flexible work policies, better rural broadband, and the nature of machine learning tasks—much of which can be done through cloud platforms—are bringing new opportunities to those who wish to swap urban hustle for fresh air and scenic views. Whether you’re a data scientist, ML engineer, researcher, or product manager, a rural or seaside move could reinvigorate your work-life balance. In this article, we’ll unpack why rural-remote ML jobs are on the rise, how you can navigate the challenges of leaving the city, and what you need to do to thrive in a machine learning career beyond the M25. If you’ve dreamt of looking up from your laptop to rolling fields or ocean waves, keep reading—your rural ML role might be closer than you think.