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Why Oviva?
At Oviva, we’re on a mission to make sustainable, personalized, clinically effective care accessible to everyone.
Our digital programmes support people living with weight related illnesses. While weight loss is a goal for many, our approach is about so much more: improving health, building confidence, and enhancing quality of life.
We’ve already supported over one million people across the UK, Switzerland, Germany, and Poland – and we’re just getting started. Every conversation, coaching session, and line of code brings us closer to a healthier future. Join us, and be part of the team making that future possible.
The Role
As a Marketing Data Scientist, you will drive how Oviva invests millions in marketing by using data science to unlock ROI, shape media planning, and power strategic decision-making across channels.
This is a hands-on role for someone with a passion for marketing analytics, who thrives on turning complex data into clear, actionable insight. Your models will guide everything from lead generation to patient conversion, media planning to performance tracking.
You’ll be joining a high-impact team, collaborating closely with marketing, product, data engineering, and BI stakeholders. You'll also transition models from external agencies and build internal MMM capability to support Oviva’s ambitious growth.
What You Bring
- Deep expertise in statistical modeling, especially regression, time-series, classification, clustering, and uplift modeling.
- Hands-on experience with media mix modeling (MMM), marketing attribution, and campaign ROI measurement.
- Strong coding skills in Python and SQL for data wrangling, modeling, and automation.
- Familiarity with BI tools like Looker, Tableau, Power BI, or ThoughtSpot.
- Track record of end-to-end ownership of data projects that influenced budget or strategy.
- Clear, structured communication style—comfortable working with both technical and non-technical stakeholders.
- Understanding of both offline and online marketing channels and how they impact business KPIs.
- A collaborative mindset and the ability to operate autonomously with high attention to detail.
Nice to Have
- Experience with Google Cloud, BigQuery, or other cloud-based data warehouses.
- Background in healthtech, regulated industries, or data privacy environments (e.g., GDPR).
Job responsibilities:
Media Mix Modelling & Attribution
- Develop, validate, and automate media mix models using statistical/econometric methods (e.g., regression, time series, predictive models).
- Enable scenario planning—e.g., how shifts in spend impact conversions, ROI.
- Experiment with advanced algorithms and automations for MMM.
- Build additional organic attribution models to measure the effect of our social media and PR activities.
- Optionally explore multi-touch/digital attribution methods to complement MMM.
Campaign Analysis & Impact Measurement
- Quantify the effectiveness of marketing campaigns on the full funnel, especially conversion from lead to patient and thus impact on revenue.
- Build predictive models and causal inference (e.g., uplift modelling, experiments) to assess incremental lift.
- Design short-term measurement framework for brand / reach campaigns for early insights into the efficacy of the campaign and the expected impact on longer-term brand metrics and revenues.
Advanced Analytics & Modeling
- Build segmentation, churn, retention, and propensity models to guide marketing targeting and personalization, e.g., for CRM activities.
- Conduct A/B or multivariate test design and analysis to evaluate marketing tactics.
- Carry out anomaly detection and automated monitoring of marketing performance.
Data Infrastructure & Automation
- Work with BI/Data Engineering to streamline data extraction, preprocessing, and build pipelines for modeling and visualization
- Collaborate with Marketing Data Analysts to elevate dashboards and automate data flows (Python, SQL, BI tools).
Communication & Strategic Collaboration
- Translate modeling outputs into actionable recommendations for marketing and leadership.
- Present results visually (dashboards, charts) via tools like Power BI, Tableau, Excel.
- Drive cross-functional discussions to align on KPIs, metrics, and strategy.
What we offer:
- The opportunity to revolutionise healthcare at scale through AI
- Exciting and rewarding roles with high-impact across multiple teams
- Training and development opportunities, with a personal learning allowance
- We embrace flexibility & remote working
- We provide a home working allowance to enable you to set up your workspace in a way which suits you
- Competitive Salary & company pension
Having a culture that people want to work in, is very important to us. We do this by keeping our values at the forefront of everything we do:
We put the patient first, We empower our teams, We make it happen
Oviva is passionate about creating an inclusive culture that encourages, supports and celebrates the diverse voices of our employees. We are a truly inclusive place to work, where everyone can be themselves and everyone is welcome. We welcome and encourage applicants from all backgrounds and identities, including but not limited to race, ethnicity, gender, sexual orientation, age, ability, religion, and socioeconomic status. We actively seek out candidates who bring a unique perspective to help us build a stronger, more inclusive team.
We're Proud to be a Disability Confident Employer
Ready to make a difference? Join us in transforming digital healthcare. Apply today!
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