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For Companies At a Glance
- Tasks: Drive product insights through data analysis and predictive modelling.
- Company: Join a fast-growing startup revolutionising mobile AI applications.
- Benefits: Competitive salary, stock options, health insurance, and career growth opportunities.
- Why this job: Make a real impact on global user acquisition and monetisation strategies.
- Qualifications: 3+ years in product analytics and a degree in a quantitative field.
- Other info: Collaborative team culture with significant investment in your learning.
The predicted salary is between 36000 - 60000 £ per year.
About the Company
44pixels is a venture capital-funded startup at the forefront of the mobile AI applications industry. Our mission is to revolutionise how users interact with AI through cutting-edge mobile apps. Backed by leading venture investors, we are on a rapid growth trajectory and are expanding our team with innovative, driven, and passionate individuals. We sit at the intersection of generative AI and great consumer products and believe this is a unique moment in time to take AI and make it available to the masses.
About the Role
As a Product Data Scientist, you will be the analytical engine driving our product insights, strategically positioned at the intersection of product, marketing, and monetisation. You will build and own predictive models for pricing, churn, and LTV, applying Causal Inference to understand the relationships in product usage, and analysing full user funnels. A core component of this role is designing and interpreting A/B and multivariate tests to improve user growth, engagement, and profitability. You will partner closely with product managers, growth marketers, and engineers to translate deep analysis into actionable product and growth strategies, establishing a strong foundation for scaling our mobile AI applications globally.
Responsibilities
- Experimentation at Scale: Design and interpret A/B and multivariate tests across acquisition channels, onboarding flows, and monetisation features.
- Retention & Engagement: Apply Causal Inference to uncover the relationships in user behaviour and long-term retention; develop churn models.
- Product Metric Trees: Decomposing our North Star revenue metrics into product improvement metrics, to guide product development and measure impact.
- Deep Dives: Lead investigations into feature usage and impact — surfacing root causes, forming the basis of future work / roadmapping.
- User Level Product Data Modelling: Expand our understanding of users through easy-to-analyse tables.
- Monetisation Insights & Modelling: Design and implement pricing models, evaluate paywall performance, pricing experiments, and offer strategies to maximise LTV and ROI on ad spend.
- Growth Analytics: Map and analyse full user funnels — from acquisition to conversion, subscription, retention, and churn — identifying key drop-offs and opportunities.
- Metrics & Dashboards: Define, track, and evolve product KPIs (X, Y, Z); build dashboards in Lightdash to democratise access, and manage the MCP for effective Agent Use.
- Cross-Functional Partner: Translate analysis into product and growth strategies; influence roadmaps with data-driven recommendations.
Qualifications
3+ years of professional experience in product/growth analytics. A degree in a quantitative technical field such as Mathematics, Statistics, Physics, Computer Science, or Engineering.
Required Skills
- Strong SQL skills and experience working with large-scale data.
- Familiarity with marketing and UA metrics (CAC, ROAS, LTV, ARPU) and experience linking marketing data with product behaviour.
- Proven track record designing and analysing growth and monetisation experiments.
- Experience with product analytics platforms.
- Excellent problem-solving abilities, attention to detail, and hypothesis-driven mindset.
- Strong communication and storytelling skills — able to distil complex findings into clear recommendations for both technical and non-technical stakeholders.
- Thrive in a fast-paced, high-growth startup environment with shifting priorities.
Preferred Skills
- Experience with mobile consumer apps and/or subscription business models.
- Basic proficiency in Python for statistical or predictive modelling.
- Familiarity with mobile UA platforms (Meta, Google Ads, AppLovin, Apple Search Ads, TikTok).
- Background in consumer behaviour analytics and retention modelling.
- Knowledge of advanced methods for monetisation analytics (churn models, survival analysis, predictive LTV).
Pay range and compensation package
Be the first dedicated product analytics specialist at 44pixels — set the foundations for product growth analytics at scale. Meaningful work with direct impact on global user acquisition and monetisation. Career-defining opportunity in a fast-growing, venture-backed startup. Collaborative and innovative team environment. Significant investment in your learning and growth. Competitive compensation + stock options. Health and dental insurance. Life assurance.
Equal Opportunity Statement
At 44pixels, we believe diversity drives innovation. We are committed to building an inclusive environment for all employees and welcome applications from candidates of all backgrounds.
Data Scientist in England employer: 44pixels
Contact Detail:
44pixels Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in England
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, analyses, and any A/B tests you've designed. 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 SQL and analytics skills. Be ready to discuss your past projects and how you've used data to drive product decisions. Practice common interview questions to boost your confidence!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our innovative team at 44pixels.
We think you need these skills to ace Data Scientist in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with product analytics, SQL skills, and any relevant projects that showcase your ability to drive insights and growth.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about mobile AI applications and how your background aligns with our mission at 44pixels. Be genuine and let your personality come through.
Showcase Your Analytical Skills: In your application, don’t forget to mention specific examples of how you've designed and interpreted A/B tests or built predictive models. We love seeing real-world applications of your skills!
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 this exciting opportunity at 44pixels!
How to prepare for a job interview at 44pixels
✨Know Your Data Inside Out
Before the interview, dive deep into your past projects and experiences with data analysis. Be ready to discuss specific examples of how you've used SQL and other tools to derive insights, especially in relation to product growth and monetization.
✨Master the Art of A/B Testing
Since this role involves designing and interpreting A/B tests, brush up on your knowledge of experimental design. Prepare to explain your approach to testing, including how you determine success metrics and what you've learned from past experiments.
✨Communicate Like a Pro
Strong communication skills are key for this position. Practice distilling complex data findings into clear, actionable recommendations. Think about how you would explain your insights to both technical and non-technical stakeholders.
✨Show Your Passion for AI and Mobile Apps
44pixels is all about revolutionising user interaction with AI. Make sure to express your enthusiasm for mobile applications and how you see data science playing a role in enhancing user experience. Share any relevant experiences that highlight your passion.