Product Intelligence Data Scientist for Growth & Insights

AVEVA; Greater London; Hybrid; GBP 90,000 - 150,000; Full time

Benefits offered by this job

Flexible benefits

28 days annual leave

Pension

Job summary

AVEVA is seeking a Product Intelligence Data Scientist to build an analytics layer turning usage signals, behavior data, and lifecycle events into actionable insights that influence product strategy and business outcomes.

You will own predictive models and frameworks linking product behavior to ARR, NRR, and LTV across acquisition, activation, adoption, expansion, and renewal, with a strong emphasis on experimentation and instrumented analytics.

Qualifications

• 5+ years in data science or advanced analytics in a hybrid PLG/sales-led SaaS environment.
• Strong Python and SQL; experience with data modelling and pipeline tools (dbt, Airflow, Dagster).
• Deep expertise in predictive modelling, causal inference, survival analysis, and experimentation (A/B, diff-in-diff).
• Experience with product telemetry and event-stream data at scale.
• Understanding SaaS lifecycle mechanics (ARR, NRR, LTV, PQLs, activation funnels).
• Ability to translate statistical findings into product and commercial strategy for non-technical stakeholders.
• Degree in a quantitative discipline (Statistics, CS, Mathematics, Physics, Economics).

Responsibilities

• Partner with Product to define and validate hypotheses around feature adoption and growth levers using experimentation.
• Translate product signals into lifecycle intelligence to drive prioritization and decisions.
• Build and own predictive models quantifying adoption, churn risk, expansion propensity, and feature-market fit.
• Design behavioral segmentation and cohorts to show value derivation and gaps.
• Develop causal analyses linking product interactions to revenue outcomes (NRR, LTV, expansion).
• Create automated scoring for leads, health, and engagement feeding GTM and CS.
• Build early-warning models detecting at-risk accounts from behavioral shifts.
• Communicate findings to senior leadership as actionable narratives and democratize insights.

Skills

Python

SQL

Data modelling

Pipelines

Experimentation

Causal inference

Survival analysis

Product telemetry

SaaS lifecycle

Education

Bachelor's degree in a quantitative field

Master's or PhD in a quantitative field

Tools

dbt

Airflow

Dagster

Snowflake

Databricks

BigQuery

Azure Synapse

Amplitude

Mixpanel

Pendo

Job description

AVEVA is seeking a Product Intelligence Data Scientist to build an analytics layer turning usage signals, behavior data, and lifecycle events into actionable insights that influence product strategy and business outcomes.

You will own predictive models and frameworks linking product behavior to ARR, NRR, and LTV across acquisition, activation, adoption, expansion, and renewal, with a strong emphasis on experimentation and instrumented analytics.