Senior Data Scientist

Stepstone Deutschland
Tadley
5 days 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 Scientist

Senior Data Scientist

Senior Data Scientist

Overview

Who we are
The Stepstone Group mission: The right job for everyone. Using our data, platform, and technology, we create opportunities for jobseekers and companies around the world to find a perfect match in a fair and equitable way. With over 20 brands across 30+ countries, we strive for fair and unbiased hiring.

Join our team of 3,000+ employees and be part of reshaping the labour market and becoming the world's leading job platform.

Job Description

The job at a glance
This is an exciting opportunity to help shape the future of work through advanced data science and AI within a globally scaled jobtech organisation. As a Data Scientist, you will play a key role in advancing core areas of our platform, developing intelligent, data-driven solutions that meaningfully impact how millions of people find jobs and how employers connect with talent. Your work will directly improve user experiences at scale and help drive fairer, more effective outcomes across the labour market. You will build and optimize in-house algorithms, work with the latest NLP and generative AI techniques, and develop intelligent conversational agents. Your work will directly improve how jobseekers and employers find the right opportunities and talent.

Responsibilities
  • Partner with Product: Act as a strategic partner to the Product organisation to run experiments, deliver research outcomes, and find solutions that positively impact the lives of millions of jobseekers and recruiters.
  • Understand deeply our users: Leverage large proprietary datasets to understand, segment, and predict user engagement, helping anticipate user needs before they arise.
  • Reinvent job matching: Build and optimize in-house algorithms that go beyond traditional search and recommendation engines, solving complex, multi-faceted problems across the platform.
  • Build conversational agents: Work with agentic frameworks and fine-tune LLMs to create autonomous, intelligent AI agents that guide users throughout their journey.
  • Be an active member of our community: Contribute to hackathons, training, and peer-to-peer knowledge exchange within the global data science community.
Qualifications
  • Education: Masters degree or higher in Computer Science, Mathematics, Statistics, Physics, or a related quantitative field.
  • Strategic Delivery: Proven experience working in an empirical research environment and partnering with Product teams to deliver and scale validated AI products.
  • Agentic Frameworks: Solid understanding of agentic frameworks (e.g., LangChain, LangGraph, CrewAI) and practical application for task automation or conversational experiences.
  • Behavioural Modelling & AI Expertise: Experience modelling and predicting user engagement, building AI-based search engines, recommender systems, or similar large-scale ranking models.
  • Generative AI & Technical Proficiency: Hands-on experience with LLM fine-tuning, Python, modern NLP frameworks, and familiarity with AWS SageMaker, Docker, and Airflow. Strong mathematical and statistical foundation.
  • Ethical Drive: Commitment to ethical and fair AI practices that ensure equitable outcomes for all users.
Additional InformationYour Benefits

We are a community here that cares as much about your life outside work as how you feel when you're with us. Because your job should not take over your life, it should enrich it. Here are some of the benefits we offer:

  • 29 days holiday allowance + bank holidays
  • Private medical and dental healthcare
  • Pension contribution up to 10%
  • 24/7 Employee Assistance Programme
  • Life Assurance Cover
  • Cycle to work scheme
  • Hybrid working model
  • Volunteering days
Our Commitment

Equal opportunities are important to us. We believe that diversity and inclusion at The Stepstone Group are critical to our success as a global company, so we want to recruit, develop, and keep the best talent. We encourage applications from everyone, regardless of background, gender identity, sexual orientation, disability status, ethnicity, belief, age, family or parental status, and any other characteristic.

As a Global Business We Further Our DEI And Sustainability Progress By Working With National And International Bodies And Are Proud To Have Been Recognised For Our Work - Both Locally And Internationally, Including

  • Armed Forces Covenant: Bronze Award, Employer Recognition Scheme
  • EcoVadis: Bronze Award
  • Fertility Friendly Employer, accredited by Fertility Matters at Work
  • RIDI (Recruitment Industry Disability) Awards: Inclusive Technology Award 2024
  • Stonewall: Gold Award
  • Stonewall: Top 100 Workplace Equality Index (85)


#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.

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.

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.

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.