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About the Role
AVEVA is seeking a Product Intelligence Data Scientist to develop a unified intelligence layer that transforms usage signals and behavioral data into predictive insights. This role will own analytical models connecting product behavior to business outcomes across the customer lifecycle.
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.
Requirements
- 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).
Skills
- Python
- SQL
- Data modelling
- Pipeline tools (dbt, Airflow, Dagster)
- Predictive modelling
- Causal inference
- Survival analysis
- Experimentation (A/B, diff-in-diff, instrumental variables)
- Product telemetry
- Event-stream data
- SaaS lifecycle mechanics
- Cloud data platforms (Snowflake, Databricks, BigQuery, or Azure Synapse)
- Product analytics instrumentation (Amplitude, Mixpanel, Pendo, or custom event pipelines)
- MLOps
- Propensity or scoring models
- Industrial software
- Enterprise SaaS contexts
Location
- UK
Work Type
- Hybrid working
- Office-based
- Remote
Experience Level
- 5+ years
Education Level
- Degree in a quantitative discipline (Statistics, Computer Science, Mathematics, Physics, Economics, or equivalent)
- Master’s or PhD in a quantitative field
Benefits
- Flexible benefits fund
- Emergency leave days
- Adoption leave
- 28 days annual leave (plus bank holidays)
- Pension
- Life cover
- Private medical insurance
- Parental leave
- Education assistance program
About the Company
- AVEVA is a global leader in industrial software with more than 6,500 employees in over 40 countries.
- Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life – such as energy, infrastructure, chemicals, and minerals – safely, efficiently, and more sustainably.
- We are committed to embedding sustainability and inclusion into our operations, our culture, and our core business strategy.
Equal Opportunity
- AVEVA is an Equal Opportunity Employer.
- We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect.
- We value diversity and the expertise that people from different backgrounds bring to our business.
- AVEVA provides reasonable accommodation to applicants with disabilities where appropriate.
- If you need reasonable accommodation for any part of the application and hiring process, please notify your recruiter.
- Determinations on requests for reasonable accommodation will be made on a case-by-case basis.