National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Data Scientist

Bumble Inc.
London
2 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist (GenAI)

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist (Equity only)

Senior Data Scientist (Equity only)

*** This is 12 months Fixed Term Contract, a maternity leave cover with a high possibility of turning into a permanent role. ***

Bumble is looking for a Senior Data Scientist to join our team and play a key role in fulfilling our mission to create a world where all relationships are healthy and equitable. Concretely, this means exploring our large datasets, developing statistical models and designing data-driven strategies for products that provide a safe and engaging experience for our users, and improve the way Bumble operates.


With millions of images and messages exchanged on our platform every day, there is a wealth of opportunity to make a real difference in this role and help people find love all over the world! The ideal candidate combines strong business acumen, extensive experience in data science and advanced analytics along with a passion for tech.


THE RECOMMENDATIONS TEAM

We are part of the cross-functional Recommendations group at Bumble Inc., a team of passionate engineers, scientists, and machine learning professionals who focus on designing and building products that power our mission of "creating a world where all relationships are healthy and equitable, through Kind Connections." We partner with wider business stakeholders, Product, and other Engineering teams to build state-of-the-art recommendation systems for our portfolio of apps, including Bumble, Badoo, BFF, and Fruitz. We are passionate about improving the experience of our members through leveraging AI and Machine Learning in our products.


WHAT YOU WILL BE DOING

  1. Work in a cross-functional team alongside machine learning scientists and machine learning engineers
  2. Work out where the most value is and help set up frameworks for evaluating algorithmic improvements
  3. Set up and conduct large-scale experiments to test hypotheses and drive product development
  4. Assess impact of algorithm changes on marketplace dynamics
  5. Partner with business functions and engineering teams to help frame problems into scalable AI solutions and solve key problems by leveraging the large and complex datasets at our disposal
  6. Collaborate with Product Management to establish roadmaps and define key metrics to optimise for alignment with Bumble's strategic objectives
  7. Drive a culture of insightful storytelling across the business
  8. Keep up with state-of-the-art research with the opportunity to create prototypes for the business and present at top conferences

WE'D LOVE TO MEET SOMEONE WITH

  1. A degree in Computer Science, Mathematics or a similar quantitative discipline like economics or social science
  2. Strong statistical modelling background - hypotheses testing, inference, regressions, random variables
  3. Comfortable presenting back to technical and non-technical stakeholders through effective data visualisation and building of reporting frameworks
  4. Comfortable with Python data science libraries such as pandas, scikit-learn, numpy, statsmodels
  5. Strong SQL experience including analytic functions, performance tuning, data wrangling
  6. Ability to work collaboratively and proactively in a fast-paced environment alongside scientists, engineers and non-technical stakeholders
  7. Ability to combine business intuition with the application of advanced solutions
  8. A passion for keeping up with the latest ongoings in Data Science and Machine Learning communities
  9. A curious mind, self-starter and endlessly keen to learn and develop themselves professionally

AN ADDED BONUS IF YOU HAVE

  1. An understanding of multi-sided markets and/or dating problem space
  2. Experience in using advanced statistical methods to solve problems. This can either be through academic projects and publications, or experience analysing and solving problems within industry
  3. Understanding of Machine Learning development lifecycle
  4. Hands-on experience in delivering Machine Learning models
  5. A basic knowledge of software development life cycle processes and tools - ETL pipelines, CI/CD, MLOps, agile methodologies, version control (git), testing frameworks

#J-18808-Ljbffr

National AI Awards 2025

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.

How to Get a Better AI Job After a Lay-Off or Redundancy

Being made redundant or laid off can feel like the rug has been pulled from under you. Whether part of a wider company restructuring, budget cuts, or market shifts in tech, many skilled professionals in the AI industry have recently found themselves unexpectedly jobless. But while redundancy brings immediate financial and emotional stress, it can also be a powerful catalyst for career growth. In the fast-evolving field of artificial intelligence, where new roles and specialisms emerge constantly, bouncing back stronger is not only possible—it’s likely. In this guide, we’ll walk you through a step-by-step action plan for turning redundancy into your next big opportunity. From managing the shock to targeting better AI jobs, updating your CV, and approaching recruiters the smart way, we’ll help you move from setback to comeback.

AI Jobs Salary Calculator 2025: Work Out Your Market Value in Seconds

Why your 2024 salary data is already outdated “Am I being paid what I’m worth?” It is the question that creeps in whenever you update your CV, see a former colleague announce a punchy pay rise on LinkedIn, or notice a recruiter slide into your inbox with a role that looks eerily similar to your current one—only advertised at £20k more. Artificial intelligence moves faster than any other hiring market. New frameworks are open‑sourced overnight, venture capital floods specific niches without warning, & entire job titles—Prompt Engineer, LLM Ops Specialist—appear in the time it takes most industries to schedule a meeting. In that environment, salary guides published only a year ago already look like historical curiosities. To give AI professionals an up‑to‑the‑minute benchmark, ArtificialIntelligenceJobs.co.uk has built a simple yet powerful salary‑calculation formula. By combining three variables—role, UK region, & seniority—you can estimate a realistic 2025 salary band in less than a minute. This article explains that formula, unpacks the latest trends driving pay, & offers concrete steps to boost your personal market value over the next 90 days.

How to Present AI Models to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

In today’s competitive job market, AI professionals are expected to do more than just build brilliant algorithms—they must also explain them clearly to stakeholders who may have no technical background. Whether you're applying for a role as a machine learning engineer, data scientist, or AI consultant, your ability to articulate complex models in simple terms is fast becoming one of the most valued soft skills in interviews and on the job. This guide will help you master the art of public speaking for AI roles, offering tips on structuring presentations, designing effective slides, and using storytelling to make your work resonate with any audience.