Product Analytics Scientist for Growth

Aveva Group; Cambridge; Hybrid; GBP 45,000 - 85,000; Full time

Benefits offered by this job

Private medical insurance

Pension

Annual leave

Job summary

AVEVA, based in Cambridge or London with a hybrid working model, seeks an experienced data scientist to build predictive models from product telemetry and drive data-informed growth strategies.

You will translate statistical findings into product and commercial decisions for non-technical stakeholders, using cloud platforms (Snowflake, Databricks, BigQuery, Azure Synapse) and instrumentation tools to shape ARR, NRR, and LTV outcomes.

Qualifications

• 5+ years in data science or advanced analytics, ideally in a hybrid PLG/sales-led SaaS environment.
• Strong Python and SQL skills, with data modelling and pipeline tools experience.
• Deep expertise in predictive modelling, causal inference, and A/B testing methods.
• Experience with product telemetry and event-stream data at scale.
• Understanding of SaaS metrics like ARR, NRR, and LTV; ability to translate findings for non-technical stakeholders.
• Quantitative degree; Masters/PhD desirable.

Responsibilities

• Partner with Product to define hypotheses around feature adoption using experimentation methods.
• Translate product signals into lifecycle intelligence to guide prioritization.
• Build and own predictive models quantifying adoption, churn risk, and expansion.
• Design segmentation frameworks to reveal value and gaps in usage.
• Develop causal analyses linking product interactions to revenue outcomes.
• Create automated scoring systems feeding GTM and Customer Success.
• Build early-warning models to detect at-risk accounts from behavior shifts.
• Communicate findings to senior leadership as actionable narratives.

Skills

Python

SQL

Predictive modelling

Causal inference

A/B testing

Data pipelines

dbt

Airflow

Dagster

Snowflake

Databricks

BigQuery

Azure Synapse

Education

Master’s or PhD in a quantitative field

Quantitative degree in Statistics/CS/Math/Physics/Economics

Tools

Snowflake

Databricks

BigQuery

Azure Synapse

Amplitude

Mixpanel

Pendo

CRM

Airflow

dbt

Job description

AVEVA, based in Cambridge or London with a hybrid working model, seeks an experienced data scientist to build predictive models from product telemetry and drive data-informed growth strategies.

You will translate statistical findings into product and commercial decisions for non-technical stakeholders, using cloud platforms (Snowflake, Databricks, BigQuery, Azure Synapse) and instrumentation tools to shape ARR, NRR, and LTV outcomes.