Senior Data Scientist, Prolific
Growth
High-quality human-powered data at scale
Be an early applicant
High-quality human-powered data at scale
101-200 employees
Be an early applicant
101-200 employees
Company mission
To accelerate human understanding.
Role
Who you are
- Experience in modeling and analyzing user growth funnels, such as acquisition loops, user lifecycle marketing, or product-led growth dynamics
- A strong background in building measurement systems and analytical frameworks, particularly using experimental design and advanced causal inference methods
- Experience with or interest in working with human behavioral data, annotation/labeling systems, or projects involving human feedback for AI development and evaluation
- Solid software engineering fundamentals with expertise in Python/R, SQL, AI/ML frameworks, and the modern data science stack
- A toolkit spanning from classical statistical methods to state-of-the-art ML techniques (especially in predictive LTV, churn modeling, and marketing mix modeling), with knowledge of how to choose and apply the right tool for each unique problem
- Proven ability to effectively communicate with and influence stakeholders across the organization, from engineers to executives
- Ability to thrive in fast-paced environments and balance speed with quality
- Strong prioritization skills, consistently focusing on high-impact work
What the job involves
- We're looking for a Data Scientist with strong analytical skills and a passion for solving complex systems problems to join our team. You will own the end-to-end growth funnel for our core participant pool, treating it as a dynamic growth engine
- You'll work cross-functionally with product, engineering, and marketing teams, driving initiatives that attract, activate, and retain high-quality participants at scale
- You'll have significant autonomy to design, build, and deploy models, develop measurement frameworks, and influence decisions that directly impact our platform's growth trajectory and business strategy
- Develop and own the quantitative framework that measures and optimizes the entire participant growth funnel (Acquisition, Activation, Retention, Referral), creating the core metrics and models that guide our growth strategy
- Develop sophisticated models to understand user acquisition channels, predict participant lifetime value (LTV), and identify the key drivers of engagement and churn
- Analyze and optimize the levers of growth, including referral programs, onboarding flows, and communication strategies to build a healthy, engaged participant base
- Collaborate closely with product managers, engineers, and marketing partners to identify opportunities where data science can drive the strategy for participant acquisition and long-term retention
- Synthesize complex analyses of our growth funnels and user journeys into actionable insights, presenting compelling data-driven narratives to influence strategic decisions
- Design and analyze experiments to test hypotheses about user acquisition channels, onboarding experiences, and retention tactics
- Partner with data engineers to enhance data pipelines and logging systems, creating a robust foundation for advanced growth modeling and user behavior analysis
Salary benchmarks
Our take
Founded in 2014, Prolific is a marketplace and data analysis company that provides researchers with a network of test participants. From eye-tracking to human-facing AI applications, Prolific’s network acts as both a recruiter for test participants and as a marketplace for researchers scientists to hire said participants.
Founded in 2014, it’s already used by the likes of Google, Stanford, Oxford and Kings College London Universities to test new AI products, providing “stress tests” for its clients. Prolific’s user base now counts over 2000 potential test subjects, whilst researchers leverage its network to launch surveys, tests and evaluation tasks every 2 minutes.
An indicator of Prolific’s success is maintaining of profitability for years after its initial Y Combinator investment. In 2024, it raised $32 million in Series A to maintain its healthy position. This funding will allow it to expand its operations.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (1 round)
Jul 2023
$33m
Series A
Total funding: $33m
Company benefits
- Bank holiday swaps
- Company wide holidays/offsites
- Early finish Fridays
- Enhanced maternity leave – 13 weeks full paid, 26 weeks 50% pay
- Enhanced paternity leave – 4 weeks full paid
- Enhanced sick pay
- Mental health days
- L&D budget – £1000 per year
- Dog friendly co-working space
- 25 days annual leave + bank holidays
Company values
- We win together
- We care deeply about our customers
- We make every minute count
- We're optimistic and find a way
- We embrace change
- We aim high
Company HQ
Vauxhall, London, UK
Leadership
Phelim Bradley
(CEO & Co-Founder)Currently also Venture Partner at Pioneer Fund. Previously Dphil at Wellcome Trust Centre for Human Genetics, Bioinformatics Intern at Illumina and MPhil of Computer Biology at University of Cambridge.
Diversity, Equity & Inclusion at Prolific
- At Prolific, we want all of our employees, researchers, and participants to be included and so we commit to having ongoing discussions about diversity and inclusion and regularly look at areas where we can improve. This policy aims to: - treat all our employees fairly and respectfully, regardless of their job status, location, or work hours ⏰ - avoid any illegal discrimination based on age, disability, gender, gender identity, marriage or civil partnership, pregnancy and maternity, race or ethnicity, religion or belief, sexual orientation, and traveler status. These are protected by the UK Equality Act (2010), Ireland Employment Equality Act (2004), Americans with Disabilities Act (ADA) at the federal level and the New York State Human Rights Law (NYSHRL) at the state level. ⚖️ - refuse to tolerate any kind of illegal discrimination 🙅🏻♀️. This includes pay and benefits, work conditions, grievance and discipline handling, termination, redundancy, parental leave, flexible working requests, employment selection, promotion, training, and other opportunities for development.
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