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

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, plus flexibility to work from home based on team needs and individual circumstances.
• Work from abroad for up to 30 days per year.
• Structured holiday policy, including 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.