Senior Data Scientist

RLDatix
London
7 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist - National Security (TIRE) based in Cheltenham/Hybrid

Senior Data Scientist

Senior Data Engineer (AWS, Airflow, Python)

Data Scientist

Lead Data Scientist

RLDatix Greater London, England, United Kingdom
Join or sign in to find your next job Join to apply for the Senior Data Scientist role at RLDatix
RLDatix Greater London, England, United Kingdom
Join to apply for the Senior Data Scientist role at RLDatix
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
Seniority level Seniority level Mid-Senior level
Employment type Employment type Full-time
Job function Job function Engineering and Information Technology
Industries Software Development
Referrals increase your chances of interviewing at RLDatix by 2x
Get notified about new Senior Data Scientist jobs in Greater London, England, United Kingdom .
London, England, United Kingdom 1 week ago
London, England, United Kingdom 2 weeks ago
London, England, United Kingdom 1 week ago
London, England, United Kingdom 1 week ago
EMEA ML Practice - Sr. Data Science Manager London, England, United Kingdom 5 days ago
EMEA ML Practice - Sr. Data Science Manager Greater London, England, United Kingdom 3 weeks ago
Research Programme Manager – Haematology Data Science Initiative London, England, United Kingdom 6 days ago
Machine Learning Scientists and Engineers: AI for Quantum London, England, United Kingdom 1 month ago
City Of London, England, United Kingdom £100,000.00-£130,000.00 1 week ago
London, England, United Kingdom 5 days ago
London, England, United Kingdom 5 days ago
London, England, United Kingdom 1 month ago
London, England, United Kingdom 2 months ago
Hammersmith, England, United Kingdom 1 week ago
London, England, United Kingdom 2 weeks ago
Investment Management Data Scientist – 12m Temp Contract London, England, United Kingdom 6 days ago
London, England, United Kingdom 1 week ago
London, England, United Kingdom 2 days ago
Senior Marketing Data Scientist - Strategic Growth Partner London, England, United Kingdom 1 week ago
London, England, United Kingdom 1 week ago
Research Scientist (Quantum Chemistry and Machine Learning), London London, England, United Kingdom 2 weeks ago
Data Science Manager - Tax Technology and Transformation London, England, United Kingdom 4 days ago
City Of London, England, United Kingdom 1 month ago
London, England, United Kingdom 2 weeks ago
London, England, United Kingdom 2 weeks ago
London, England, United Kingdom 1 day ago
London, England, United Kingdom 2 weeks ago
London, England, United Kingdom 4 days ago
London, England, United Kingdom 8 hours ago
Quantitative Researcher (Machine Learning) London, England, United Kingdom 3 months ago
Machine Learning Scientist III (Meta bidding) London, England, United Kingdom 3 days ago
London, England, United Kingdom 2 weeks ago
Data Science Manager - Marketing & Customer Generative AI Enterprise Architect London, England, United Kingdom 12 hours ago
London, England, United Kingdom 1 week ago
London, England, United Kingdom 1 month ago
London, England, United Kingdom 1 day ago
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

#J-18808-Ljbffr

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.

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.