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- Tasks: Shape the future of work using advanced data science and AI to improve job matching.
- Company: Join The Stepstone Group, a global leader in fair and equitable hiring.
- Benefits: Enjoy 29 days holiday, private healthcare, pension contributions, and more.
- Why this job: Make a real impact on millions of jobseekers and employers worldwide.
- Qualifications: Master’s degree in a quantitative field and experience with AI products required.
- Other info: Be part of a diverse community committed to ethical AI practices.
The predicted salary is between 60000 - 80000 £ per year.
At The Stepstone Group, we have a simple yet very important 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.
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 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.
Your skills and qualifications:
- Education: Master’s 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.
We’re a community here that cares as much about your life outside work as how you feel when you’re with us. Because your job shouldn’t 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
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.
Senior Data Scientist employer: The Stepstone Group
Contact Detail:
The Stepstone Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at The Stepstone Group. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving AI and NLP. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common data science interview questions and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our mission to reshape the labour market.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience with data science, AI, and any relevant projects that showcase your skills in building algorithms and working with large datasets.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about reshaping the labour market and how your background aligns with our mission at The Stepstone Group. Be genuine and let your personality come through.
Showcase Your Technical Skills: Don’t forget to highlight your technical expertise! Mention your experience with Python, NLP frameworks, and any agentic frameworks you've worked with. We want to see how you can contribute to our innovative projects.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our community!
How to prepare for a job interview at The Stepstone Group
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially around algorithms and NLP techniques. Be ready to discuss your past projects and how you've applied these skills in real-world scenarios.
✨Understand the Company’s Mission
Familiarise yourself with The Stepstone Group's mission of fair and equitable hiring. Think about how your work as a Data Scientist can contribute to this goal and be prepared to share your thoughts during the interview.
✨Prepare for Technical Questions
Expect technical questions that test your knowledge of agentic frameworks and AI practices. Practice explaining complex concepts in simple terms, as you may need to communicate your ideas to non-technical stakeholders.
✨Show Your Ethical Side
Since ethical AI practices are crucial for the company, be ready to discuss your views on fairness in AI. Share examples of how you've ensured equitable outcomes in your previous work or how you would approach it in future projects.