Innovation AI Scientist – Opportunity Discovery

Versuni (formerly Philips Domestic Appliances); Amsterdam; Hybrid; EUR 90,000 - 150,000; Full time

Benefits offered by this job

Work-from-home allowances

Phone allowances

Product discounts on Versuni products

Job summary

Versuni, a leader in consumer appliances, seeks an AI Expert to shape opportunity spaces through advanced analytics. You’ll transform mixed-source data into quantified innovation opportunities and build evidence-based business cases for early R&D decisions.

The role emphasizes predictive and causal modelling, GenAI enablement, and experimentation to de-risk portfolios. Strong collaboration with cross-functional teams is essential.

Qualifications

• 5–8+ years in applied data science (innovation, product, growth or research).
• Master’s/PhD in Data Science, Statistics, Econometrics, CS, Applied Math or similar.
• Experience with mixed-source data (behavioral, survey, telemetry, reviews, market data).
• Background in consumer products/electronics or adjacent innovation sectors preferred.

Responsibilities

• 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.

Skills

ML & Statistics

Experimentation

Storytelling

Data-driven decision making

Business framing

Education

Master’s/PhD in Data Science or related field

Tools

Python

PySpark

SQL

Streamlit/FastAPI

GenAI tooling

Job description

Versuni, a leader in consumer appliances, seeks an AI Expert to shape opportunity spaces through advanced analytics. You’ll transform mixed-source data into quantified innovation opportunities and build evidence-based business cases for early R&D decisions.

The role emphasizes predictive and causal modelling, GenAI enablement, and experimentation to de-risk portfolios. Strong collaboration with cross-functional teams is essential.