AI Expert

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?