Product Intelligence Data Scientist: Predictive Growth

Remote Worker LTD.; Cambridge; Hybrid; GBP 80,000 - 120,000; Full time

Benefits offered by this job

Flexible benefits fund

Emergency leave days

Adoption leave

28 days annual leave

Pension

Life cover

Private medical insurance

Parental leave

Education assistance program

Job summary

AVEVA is seeking a Product Intelligence Data Scientist for the Cambridge/London hybrid role. You will build unified intelligence from usage signals and lifecycle events to generate predictive, prescriptive insights that guide product and business decisions.

You will own analytical models linking product behavior to outcomes across acquisition, activation, adoption, expansion, and renewal, and translate findings for non-technical stakeholders. Hybrid office presence is expected.

Qualifications

• 5+ years in data science or advanced analytics — ideally 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, instrumental variables)
• Experience working directly with product telemetry and event-stream data at scale
• Solid understanding of 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, Computer Science, Mathematics, Physics, Economics, or equivalent)

Responsibilities

• Partner with Product to define and validate hypotheses around feature adoption, friction points, and growth levers using experimentation methods
• Translate complex product signals into lifecycle intelligence that drives prioritization — surfacing what to build, fix, or sunset
• Build and own predictive models that quantify adoption maturity, churn risk, expansion propensity, and feature-market fit from product telemetry
• Design behavioral segmentation and cohort frameworks that reveal how users derive value — and where they don’t
• Develop causal and inferential analyses that connect product interactions to revenue outcomes (NRR, LTV, expansion)
• Create automated scoring systems (product-qualified leads, customer health, engagement intensity) that feed into GTM, Customer Success, and in-product workflows
• Build early-warning detection models that identify at‑risk accounts from behavioral shifts before lagging indicators appear
• Communicate findings to senior leadership as clear, actionable business narratives, and democratise intelligence findings for the wider team

Skills

Python

SQL

Predictive modelling

Causal inference

Experimentation

Product telemetry

Data pipelines

A/B testing

Education

Master's or PhD in quantitative field

Quantitative degree

Tools

dbt

Airflow

Dagster

Snowflake

Databricks

BigQuery

Azure Synapse

Amplitude

Mixpanel

Pendo

Job description

AVEVA is seeking a Product Intelligence Data Scientist for the Cambridge/London hybrid role. You will build unified intelligence from usage signals and lifecycle events to generate predictive, prescriptive insights that guide product and business decisions.

You will own analytical models linking product behavior to outcomes across acquisition, activation, adoption, expansion, and renewal, and translate findings for non-technical stakeholders. Hybrid office presence is expected.