Location:
About the role:
As an AI Expert in the Disruptive Innovation team, you build and operate the opportunity-discovery analytics capability for our global appliances portfolio.
You turn mixed-source consumer, usage and market data (panels, reviews, e-commerce, social, research, telemetry) into quantified opportunity spaces, causal-grade business cases and decision-ready evidence.
This is forward-looking, opportunity-stage analytics (not product analytics): identifying unmet needs, validating early hypotheses and shaping innovation portfolios with rigorous, evidence-based insight.
Impact
Translate behavior & usage data into quantified innovation spaces and disruption theses
Provide causal evidence influencing early-stage R&D and investment decisions
Accelerate learning via experiments and qual–quant integration
De-risk innovation by quantifying uncertainty and assumptions
The impact you’ll make:
Key responsibilities
Opportunity discovery & analytics
Identify and synthesize mixed-source data to uncover unmet needs, behaviors and trends
Build segmentation, cohorts, journeys and JTBD analyses explaining usage
Quantify opportunity size, growth and strategic fit
Integrate qualitative and quantitative research loops
Translate external disruption signals into innovation cues
Predictive, causal & GenAI modelling
Develop predictive and causal models (propensity, adoption, churn, latent needs)
Apply causal methods (DiD, synthetic controls, IV, uplift/ML) for decision-making
Build scenario and portfolio models for simulations/digital twins
Use GenAI/LLMs to mine unstructured data with human-in-loop interpretation
Maintain reusable analytical assets (models, code, segmentations)
Experimentation & business cases
Design and run experiments (A/B, multivariate, conjoint, MVP tests)
Translate results into clear opportunity narratives (size, drivers, risks)
Build quantitative business cases (demand, pricing, adoption, cannibalization)
Identify bias and ensure robust evidence quality
Data products & tooling
Build lightweight tools and GenAI-enabled apps for self-serve exploration
Productionize pipelines and workflows (Python, SQL, orchestration)
Collaboration & storytelling
Partner with concept, research and technical teams on hypotheses and insights
Align with commercial, marketing and product teams on data and positioning
Communicate insights via clear narratives for technical and business audiences
Promote experimentation and evidence-based ways of working
The skills and knowledge you’ll bring:
Education
Master’s/PhD in Data Science, Statistics, Econometrics, CS, Applied Math or similar (or equivalent experience)
Experience
5–8+ years in applied data science (innovation, product, growth or research)
Proven delivery of quantified opportunity spaces/business cases adopted by leadership
Experience with mixed-source data (behavioral, survey, telemetry, reviews, market data)
Background in consumer products/electronics or adjacent innovation sectors preferred
Technical skills
Strong ML, statistics and experimentation (time-series, survival, propensity, conjoint)
Hands-on causal inference (DiD, synthetic controls, IV, causal graphs)
Strong Python/PySpark and SQL
Experience building data tools/apps (APIs, Streamlit, FastAPI or similar)
Experience with unstructured data and GenAI/LLMs
Proficiency in BI/visualization for insight storytelling
Analytical & business skills
Strong problem framing and strategic thinking
Business case fluency (demand, pricing, unit economics, regulation, sustainability)
Comfortable with uncertainty; explicit on assumptions and scenarios
Able to manage multiple priorities in exploratory environments
Competencies
Strong storytelling for technical and non-technical audiences
Highly collaborative; integrates qualitative and quantitative insights
Strong consumer empathy and curiosity
Intellectually honest; challenges assumptions constructively
Proactive, self-driven and entrepreneurial
Background
Preferred: appliances, consumer electronics, connected products, innovation-driven sectors
Also relevant: FMCG innovation, behavioral science, product strategy, growth analytics (discovery-focused)
Less suited: purely BI/reporting, performance marketing analytics or pure data engineering roles
What we’ll give you in return:
Internationally competitive base salary, benchmarked against global industry and market leaders.
Performance-based Annual Incentive Program, rewarding those who dare and achieve more.
Top-of-the-market pension plan with the opportunity for higher employee contributions.
Work-from-home and phone allowances to support your home office setup and business connectivity.
Balanced office-based working | With a strong focus on in-office collaboration, we offer flexibility to work
from home based on team needs and individual circumstances.
Work from abroad | Up to 30 days per year.
Structured holiday policy | Includes defined care days, enhanced maternity/paternity leave, and a capped
option to purchase additional leave days annually.
Special health insurance plan for Versuni employees with convenient conditions when signing up with our
partner insurance.
Product discounts on all Versuni products sold under the Philips brand and our other brands.
High-growth environment, offering exciting learning and career development perspectives beyond your
first role.
Inclusive working culture and family spirit; we embrace our international community and diversity as a
competitive advantage.
Ready to make an impact?
From developing game-changing air fryers to perfecting the art of coffee making, Versuni’s purpose is turning houses into homes — and we’re calling on your talent to bring it to life. Join our global team of 6,000+ passionate individuals, work with world-class brands, and shape the future of home living. We’re ready for you — are you ready for us?