Senior Marketing Data Scientist - Strategic Growth Partner

Flo Health; London; Hybrid; GBP 50,000 - 90,000; Full time

Job summary

An established industry player is seeking a visionary Data Scientist to enhance their Marketing Analytics function. In this pivotal role, you will leverage data science to optimize user acquisition strategies and drive sustainable growth. Collaborating closely with leadership, you will redefine marketing measurement, shape predictive modeling, and uncover hidden patterns in user behavior. This is an exciting opportunity to influence key business decisions and contribute to a mission-driven team focused on improving female health outcomes. If you're passionate about data and marketing, this role is perfect for you.

Benefits

Competitive salary and annual reviews

Performance incentive scheme

Paid holiday and sick leave

Enhanced parental leave

Flexible office + home working

5-week fully paid sabbatical

Health, pension, and wellbeing perks

Qualifications

• Experience applying data science to marketing challenges.
• Strong analytical foundation in statistical methods and experiment design.

Responsibilities

• Design sophisticated attribution frameworks and marketing mix models.
• Analyze user funnel from acquisition to retention for data-driven recommendations.

Skills

Data Science

Predictive Modeling

Statistical Methods

Python

SQL

Marketing Analytics

Data Visualization

Tools

Databricks

Looker

Job description

400M+ downloads. 75M+ monthly users. A decade of building - and we're still accelerating.

Flo is the world's #1 health app on a mission to build a better future for female health. Backed by a $200M investment led by General Atlantic, we became the first product of our kind to reach a $1B valuation in 2024 - and we're not slowing down.

With 6M paid subscribers and the highest-rated experience in the App Store's health category, we've spent 10 years earning trust at scale. Now, we're building the next generation of digital health - AI-powered, privacy-first, clinically backed - to help our users know their body better.

The job

We're searching for a visionary Data Scientist to strengthen our Marketing Analytics function. As a key expert in this space, you'll transform how we understand user behaviour, optimise acquisition strategies, and drive sustainable growth. This isn't just an analytics role-it's an opportunity to influence key business decisions alongside our leadership team directly.

What you'll be doing

You'll be responsible for:

Working at the intersection of data science and marketing strategy, you'll:

• Redefine Marketing Measurement by designing sophisticated attribution frameworks, building marketing mix models, and running experiments that cut through the noise to identify what truly drives performance.
• Bridge Product and Marketing by analysing the entire user funnel from acquisition to retention, providing data-driven recommendations that improve marketing effectiveness, product journeys, and features.
• Shape Predictive Modeling by collaborating with ML engineers to influence methodology selection, feature engineering, and performance evaluation of models that reveal lifetime value of users, enabling smarter investment decisions.
• Uncover Hidden Patterns within user behavioural data, campaign touchpoints, and conversion journeys to develop nuanced customer segments and behavior profiles that power personalised marketing strategies.
• Drive Experimentation by collaborating with performance marketing teams on experiments, lift studies, and incrementality tests that continuously improve conversion rates and ROI.
• Challenge Assumptions by bringing data-driven insights to strategic conversations with senior leadership, including direct collaboration with our Director of User Acquisition, CMO, Analytics and Finance leaders.

Your Experience

Must have:

While we value adaptability over a perfect match, you likely bring:

• A track record of applying data science to solve marketing challenges, with meaningful experience building predictive LTV models and marketing mix models that inform strategic decisions
• Strong analytical foundation in statistical methods, experiment design, and data modeling techniques-all applied specifically to marketing performance optimisation and channel mix interpretation
• Technical proficiency with Python and SQL, ideally with experience working in Databricks environments
• Familiarity with data visualisation and marketing analytics platforms (we use Looker)
• An intuitive understanding of digital marketing ecosystems and the metrics that matter across different channels
• The ability to translate complex analyses into compelling narratives that influence decision-makers
• A collaborative mindset that thrives in fast-paced environments where you'll work directly with product, marketing, finance, analytics, and engineering teams

How we work

We're a mission-led, product-driven team. We move fast, stay focused and take ownership - from brief to build to impact. Debate is encouraged. Decisions are shared. We care about craft, ship with purpose, and always raise the bar.

You'll be working with people who take their work seriously, not themselves. It takes commitment, resilience, and the drive to keep going when things get tough. Because better health outcomes are worth it.

What you'll get

We support impact with meaningful reward. Here's what that looks like:

• Competitive salary and annual reviews
• Opportunity to participate in Flo's performance incentive scheme
• Paid holiday, sick leave, and female health leave
• Enhanced parental leave and pay for maternity, paternity, same-sex and adoptive parents
• Accelerated professional growth through world-changing work and learning support
• Flexible office + home working, up to 2 months a year working abroad
• 5-week fully paid sabbatical at 5-year Floversary
• Flo Premium for friends & family, plus more health, pension and wellbeing perks

Diversity, equity and inclusion

Our strength is in our differences. At Flo, hiring is based on merit, skill and what you bring to the role - nothing else. We're proud to be an equal opportunity employer, and we welcome applicants from all backgrounds, communities and identities. Read our privacy notice for job applicants.