
Senior Data Scientist, Customer Analytics
Hybrid
London, United Kingdom
Full Time
13-04-2025
Job Specifications
Bumble Inc. is seeking a Senior Data Scientist to lead our efforts in developing sophisticated Customer and Marketing Measurement models, tailored specifically for our unique ecosystem. This is a unique opportunity for an experienced MLE/DS who enjoys the fast-paced environment of a growing company, has experience in tech analytics and has a passion to contribute to helping the Bumble Inc. mission to foster kind connections.
You would ideally have a background in data science at either a dating, social, gaming or other relevant tech company, with proven experience in driving commercial impact through applying analytics to critical business problems.
In this role, you will collaborate closely with cross-functional teams to harness the power of data and analytics in unlocking key insights into marketing effectiveness and revenue generation. Your primary focus will be on developing advanced marketing measurement frameworks, including Media Mix Models (MMM) and incrementality testing, to optimize our investment across acquisition, retention, and monetization strategies.
You bring experience working with complex sources of revenue, spend and behavioral data and use that knowledge to partner with stakeholders and senior leaders, taking a holistic approach to measurement and optimization. You are comfortable challenging priorities and clearly communicating analytical roadmaps. You’re able to effectively balance demands for both tactical and strategic work and also have experience managing projects across analytics engineering, data science, and MLOps.
Key Accountabilities:
Lead the development of advanced marketing measurement models, including Media Mix Models (MMM) and incrementality testing, to assess the impact of marketing investments and optimize budget allocation
Collaborate closely with stakeholders and senior leaders to identify key business problems, challenge priorities, and provide actionable insights derived from marketing effectiveness analysis
Guide others on techniques and ways of working and help build a culture of critical thinking, commercial acumen, and disciplined execution in alignment with senior management
Drive data science roadmaps by efficiently producing insights that inform decision-making, supporting an extensive experimentation program, and advocating for continual improvement within the team
Take an integrated perspective to analytics, considering all potential drivers of performance, leveraging expertise from other teams, and synthesizing findings from different measurement approaches
Required Experience & Skills:
Preference for a graduate degree in Mathematics, Engineering, Information Sciences, Economics, Finance, or STEM. PhD and Masters welcome
Preference for experience working in similar dating/social/gaming tech product industries or high-data-volume industries such as financial services
Proven experience in building and deploying ML and statistical models for marketing measurement
5+ years of experience with Python/SQL, machine learning/data science tooling such as Kubeflow/Streamlit, and visualization tooling such as Looker/Tableau
Strong understanding of machine learning applications development life cycle processes and tools: CI/CD, version control (Git), testing frameworks, MLOps, agile methodologies, monitoring, and alerting
Experience working with complex data infrastructures and partnering with data engineering teams to facilitate data ingestion, warehousing, and optimization for marketing measurement
Strong experience with data engineering and data modeling requirements needed to automate reporting and marketing performance measurement
About the Company
Bumble Inc. is the parent company of Bumble, Badoo, Bumble For Friends, and Geneva. The Bumble platform enables people to build healthy and equitable relationships, through Kind Connections. Founded by Whitney Wolfe Herd in 2014, Bumble was one of the first dating apps built with women at the center and connects people across dating (Bumble Date), friendship (Bumble For Friends) and professional networking (Bumble Bizz). Badoo, which was founded in 2006, is one of the pioneers of web and mobile dating products. Bumble For Fr... Know more
Related Jobs


- Company Name
- Saragossa
- Job Title
- Senior Data Engineer – Capital Markets experience required – £130,000 Salary + Bonus
- Job Description
- This company work across various energy and commodities markets across the world. We appreciate that not everyone wants to work within Oil and Gas trading, however, part of the role of the data team is to look at more sustainable options for trading all kinds of commodities products. You’re going to be getting involved with a number of newly launched data projects, with your initial project being to work on this migration. You’ll face off with the business, understanding what they need, discussing solutions with the Data Science team, then building out the best solution possible, whether it be with an off the shelf product, or building it completely from scratch using primarily Python and SQL. There’s a strong opportunity to take on leadership responsibilities, so if management is in your sights and ambitions, you’ll be able to achieve that here. The team are using more advanced technology as time goes on and you’ll be responsible for implementing various cutting-edge technologies. In terms of your technical experience you’ll need to have worked in a commercial data engineering role for at least 8 years, this is a senior position. Strong Python, and SQL experience will be required. Capital Markets experience is mandatory, any asset class is completely fine. This is a global commodities firm with a strong history of performance and revenue. Your starting salary will be up to £120,000 plus a performance related bonus. Benefits include medical, dental and life insurance, wellness programs, pension, generous parental leave and various other perks. Want to make sure data has an impact on the future of commodities trading? Get in touch. No up-to-date CV required.


- Company Name
- Starling Bank
- Job Title
- Analytics Engineer - (Financial Reporting)
- Job Description
- Starling is the UK's first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time. Starling is the UK's first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way. We're a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We're a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices. Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together! The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness. Hybrid Working We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. Our Data Environment Our Data teams are aligned to divisions covering the following Banking Services & Products, Customer Identity & Financial Crime and Data & ML Engineering. Our Data teams are excited about delivering meaningful and impactful insights to both the business and more importantly our customers. Hear from the team in our latest blogs or our case studies with Women in Tech. We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good. We're searching for an experienced Analytics Engineer to help us enhance our data warehouse. You'll primarily work in SQL with dbt (BigQuery) but have the opportunity to work in other programming languages, expanding your skillset and making a significant impact on our data capabilities. We're looking for someone who's eager to learn and grow with us as we leverage multiple technologies to build pipeline solutions. Responsibilities: Translate data requirements from across the organisation into robust and reusable data models Seek out and understand the reasons behind inconsistencies in data Follow established SDLC standards / processes for rapid and reliable releasing of changes to production Maintain consistent and clear documentation and definitions across the data warehouse Work across multiple technologies (e.g. SQL, Java, Terraform) Collaborate with multiple teams to help meet business goals Requirements Excellent SQL skills Previous experience working with dbt and developing data architecture Ability to communicate to stakeholders across a range of technical backgrounds Experience in code management and version control using Git Experience supporting and working with cross-functional teams in a dynamic environment Desirable: Worked with other programming languages such as Java / Python / C Have developed infrastructure in Terraform Worked with financial data and / or regulatory reporting Experience working with AWS and / or GCP tooling Interview process Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team: Stage 1 - 30 mins with one of the team Stage 2 - Take home challenge Stage 3 - 60 mins technical interview with two team members Stage 3 - 45 min final with an executive and a member of the people team Benefits 25 days holiday (plus take your public holiday allowance whenever works best for you) An extra day's holiday for your birthday Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off 16 hours paid volunteering time a year Salary sacrifice, company enhanced pension scheme Life insurance at 4x your salary & group income protection Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton Generous family-friendly policies Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing About Us You may be put off applying for a role because you don't tick every box. Forget that! While we can't accommodate every flexible working request, we're always open to discussion. So, if you're excited about working with us, but aren't sure if you're 100% there yet, get in touch anyway. We're on a mission to radically reshape banking - and that starts with our brilliant team. Whatever came before, we're proud to bring together people of all backgrounds and experiences who love working together to solve problems. Starling Bank is an equal opportunity employer, and we're proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Starling Bank are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law. When you provide us with this information, you are doing so at your own consent, with full knowledge that we will process this personal data in accordance with our Privacy Notice. By submitting your application, you agree that Starling Bank will collect your personal data for recruiting and related purposes. Our Privacy Notice explains what pe...


- Company Name
- Handelsbanken
- Job Title
- Data Analyst with SAS
- Job Description
- Job Introduction The Risk Models and Data team within the Risk function is responsible for stress testing model and tool development and maintenance, risk data analytics, the regular production of a number of MI reports on various risk topics and risk data governance. The role is for a Data Analyst to work within the Data Analytics workstream of the team. This is a great opportunity for an analytics professional to be part of a diverse analytics team and be actively involved in a broad range of initiatives such as supporting and improving regular management information reporting, ongoing improvement projects and data governance. The role will suit a strong communicator, with strong SAS skills, that can collaborate cross-functionally and apply their technical skills to support the data analysis and data driven decision making capabilities of the Risk function Main Responsibilities Run regular production of MI and ad-hoc requests for data analysis Support the development of robust data analysis for both ad-hoc and regular management reporting Support the development of efficient management information (MI) production Support the resolution of Data Quality issues and the Data Lineage activities of the team Support the build out of a robust data governance and data quality process within the risk function Ideal Candidate Research (by Harvard University) shows that women are particularly likely to second guess themselves and not apply - so if you are worried you don't meet all the criteria, get in touch anyhow and let us do the worrying… A strong communicator who can collaborate cross-functionally Have relevant experience working with data analysis within financial services Have an intermediate knowledge of SAS and SQL; and be eager to develop further Have a good understanding of risk/financial terminology and be interested in developing this knowledge further Be comfortable working with various MS Excel features such as formulas and pivot tables. Knowledge of Power BI is also desirable; but not mandatory Company Information Handelsbanken is a relationship bank with a decentralised way of working, a strong local presence thanks to a nationwide network of branches, and a long-term approach to customer relations. Each Handelsbanken branch operates as a local business enabling it to make decisions at a local level and provide a bespoke service. The focus is always on the need of the individual customer and not on the sale of specific products. The Bank is deeply committed to embedding good equality and diversity practice into all of our activities. This is so that we are an inclusive, welcoming and inspiring place to work that encourages everyone to apply, regardless of socio-economic background, age, disability, pregnancy and/or parental status, race (including colour, nationality, and ethnic or national origin), veteran status, marital and civil partnership status, religion or belief, sex, gender reassignment or sexual orientation. Check our Handelsbanken website for further information At Handelsbanken, we deeply value our unique culture and values including trust in and respect for each individual. We take pride in nurturing a work environment where people flourish, and where they are empowered to take decisions in their areas of expertise. We take a long term perspective in everything we do and want each employee who joins us to build a long terms successful career with the Bank. What is in it for you? We have a wide range of learning and development available, empowering and enabling our colleagues to take ownership of their own development. Competitive Salary and an extensive range of benefits is provided, including private medical insurance, income protection and life assurance A market-leading pension contribution of 15% paid by the bank, which can be invested in a wide range of funds (including ESG and Shariah funds) Application next steps Your journey with us begins once you have submitted your application. One of our Handelsbanken recruiters will be reviewing your details and will later organise a phone conversation if you match the role requirements. If there is a mutual fit, we will extend an invitation for you to participate in an interview. How can we support you to be your best self? Our Talent Acquisition team will be happy to provide support e.g. if you need additional time to prepare for an interview or you have any requirements for any part of the interview/hiring process – just let us know by email uk_talent@careers.handelsbanken.co.uk . This advert will be live for a minimum of two weeks. However, please note that after the two weeks, the closing date could change at any time depending on the number of responses received.


- Company Name
- YouLend
- Job Title
- Data Platform Engineer
- Job Description
- About Us YouLend is the preferred global embedded financing platform for many of the world's leading e-commerce sites, tech companies and payment services providers such as Amazon, eBay, Shopify, Mollie, Dojo, Paysafe, Just Eat Takeaway and Takepayments. Our software platform and APIs enable our partners to offer flexible financing products, in their desired branding, to their merchant base. With YouLend's AI-driven credit risk assessment solutions, more merchants and SMEs than ever can receive fast, flexible and affordable funding. We operate in 9+ geographies across the UK, EU and the US. We believe that the future of financial services will be delivered by customer-oriented tech companies that embed financing in their customer journeys, and we are building the solutions that will power that future. The Role: We're looking for a Data Platform Engineer to join our growing Data Engineering & Platform team. This role sits at the intersection of infrastructure, DevOps, and modern data tooling — with a focus on enabling fast, secure, and scalable analytics. To help us build and scale a best-in-class data platform to support everything from dashboards and experimentation to ML and compliance Requirements Build and manage infrastructure for our data platform (AWS, Snowflake, dbt, Airflow) Design and implement CI/CD pipelines for dbt and other data workflows Automate data platform operations with Python and infrastructure-as-code tools (Pulumi/Terraform) Collaborate with analytics, ML, product, and engineering teams to scale data solutions Ensure data quality, lineage, and governance through testing and monitoring Work with cost observability tools to ensure efficient platform usage Essential: Proven experience working with cloud-based data platforms (Snowflake, Redshift, BigQuery, etc.) Proficiency in Python and SQL for automation and analytics Experience with CI/CD, preferably in dbt and/or data platforms Hands-on with IaC tools like Pulumi, Terraform, or CloudFormation Good understanding of orchestration tools like Airflow Strong communicator, with experience working cross-functionally Desirable Skills: Cloud: AWS (S3, Lambda, MWAA), Azure DevOps Platform: Snowflake, dbt Cloud, Fivetran Orchestration: Airflow (MWAA), dbt jobs Languages: Python, SQL IaC: Pulumi, Terraform Monitoring: DataDog Salary: £60,000 - 90,000 + 10% annual bonus Benefits Why work at YouLend? Award-Winning Workplace: YouLend has been recognised as one of the "Best Places to Work 2024" by the Sunday Times for being a supportive, diverse, and rewarding workplace. Award-Winning Fintech: YouLend has been recognised as a "Top 250 Fintech Worldwide" company by CNBC. We offer comprehensive benefits package that includes: Stock Options Private Medical insurance via Vitality EAP with Health Assured Enhanced Maternity and Paternity Leave Modern and sophisticated office space in Central London Free Gym in office building in Holborn Subsidised Lunch via Feedr Deliveroo Allowance if working late in office Monthly in office Masseuse Team and Company Socials Football Power League / Squash Club At YouLend, we champion diversity and embrace equal opportunity employment practices. Our hiring, transfer, and promotion decisions are exclusively based on qualifications, merit, and business requirements, free from any discrimination based on race, gender, age, disability, religion, nationality, or any other protected basis under applicable law.