Senior Data Scientist

algo1
London
2 days ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

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

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

About Us

We are a VC-backed startup focused on hyper-personalisation, currently in stealth. Inspired by the latest in recommender systems, we leverage transformers and graph learning alongside decision-making models to build engaging customer experiences for in-store retail.

Our mission is to change retail forever through hyper-personalised shopping experiences that are both simple and beautiful.


About the Job

We are looking for a Senior Data Scientist with experience in bringing advanced machine learning and data science systems to production to work with our team of industry leading domain experts and engineers. You'll be working across our entire data science stack, from advanced recommender systems to comprehensive performance analytics.


Key Responsibilities:

  • Design and implement scalable machine learning for complex data analysis, optimised recommendations, and predictive modelling.
  • Translate the latest advances in machine learning into impactful solutions and products, from rapid MVPs to fully deployed, production-ready systems.
  • Bring your models to production and optimise for inference in edge computing environments.


Essential Qualifications:

  • 3-5+ years implementing advanced data science solutions in a commercial setting.
  • MSc in Computer Science, Machine Learning, or a related field.
  • Experience building data pipelines (realtime or batch) & data quality using modern toolchain (e.g., Apache Spark, Kafka, Airflow, dbt).
  • Strong foundational knowledge of machine learning and deep learning algorithms, including deep neural networks, supervised/unsupervised learning, predictive analysis, and forecasting.
  • Expert-level proficiency in Python, with a demonstrated ability to develop and debug production-grade code.


Desired Skills (Bonus Points):

  • Strong practical understanding of retail analytics including consumer segmentations, personalisation systems, campaign effectiveness and media measurement.
  • Experience with recommender systems and/or behavioural AI.


What We Offer:

  • Opportunity to build technology that will transform millions of shopping experiences.
  • Real ownership and impact in shaping product and company direction.
  • A dynamic, collaborative work environment with cutting-edge ML challenges.
  • Competitive compensation and equity in a rapidly growing company.


If you're an energetic data scientist who thrives in a fast-paced environment and wants to make a real impact on the future of retail, we'd love to hear from you.

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.

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.

Education

The Skills Gap in Machine Learning Jobs: What Universities Aren’t Teaching

Machine learning has moved from academic research into the core of modern business. From recommendation engines and fraud detection to medical imaging, autonomous systems and language models, machine learning now underpins many of the UK’s most critical technologies. Universities have responded quickly. Machine learning modules are now standard in computer science degrees, specialist MSc programmes have proliferated, and online courses promise to fast-track careers in the field. And yet, despite this growth in education, UK employers consistently report the same problem: Many candidates with machine learning qualifications are not job-ready. Roles remain open for months. Interview processes filter out large numbers of applicants. Graduates with strong theoretical knowledge struggle when faced with practical tasks. The issue is not intelligence or effort. It is a persistent skills gap between university-level machine learning education and real-world machine learning jobs. This article explores that gap in depth: what universities teach well, what they routinely miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in machine learning.

🍪 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.