AI Strategy & Opportunity Analytics Lead

Versuni; Amsterdam; Hybrid; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Phone allowance

Work-from-home allowance

Pension plan

Product discounts

Job summary

Versuni is seeking an AI Expert to lead opportunity‑discovery analytics for our global appliances portfolio. You will transform mixed data into quantified opportunity spaces, build causal business cases, and produce decision‑ready insights for forward‑looking innovation.

You will design experiments, apply GenAI and causal inference methods, and productionize analytic assets while collaborating with product, research and commercial teams. Hybrid work with in‑office collaboration is offered.

Qualifications

• Master’s/PhD in Data Science, Statistics, Econometrics, CS, Applied Math or similar (or equivalent experience).
• 5–8+ years in applied data science (innovation, product, growth or research).
• Proven delivery of quantified opportunity spaces/business cases adopted by leadership.

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

Strong ML & statistics

Causal inference

Python

PySpark

SQL

GenAI/LLMs

Experiment design

BI/visualization

Storytelling

Education

Master's/PhD in Data Science or related

Tools

Streamlit

FastAPI

Job description

Versuni is seeking an AI Expert to lead opportunity‑discovery analytics for our global appliances portfolio. You will transform mixed data into quantified opportunity spaces, build causal business cases, and produce decision‑ready insights for forward‑looking innovation.

You will design experiments, apply GenAI and causal inference methods, and productionize analytic assets while collaborating with product, research and commercial teams. Hybrid work with in‑office collaboration is offered.