Data Scientist (Product Analytics)

Mentor Talent Acquisition; Farringdon; In loco; GBP 65.000 - 90.000; Tempo pieno

Descrizione del lavoro

Mentor Talent Acquisition in London is seeking a Data Scientist to turn product usage, customer and commercial data into actionable insights that shape the company’s next growth phase.

You’ll close data gaps for Commercial and Product teams, own revenue forecasting, churn risk scoring and CRM data enrichment, and produce executive-ready dashboards.

This role offers a fast-paced, data-driven environment with exposure to B2B SaaS metrics and executive reporting.

Competenze

• Strong SQL skills and ability to navigate complex real-world datasets.
• Solid Python for data wrangling, analysis and visualization (pandas, matplotlib, plotly).
• Hands-on experience with BI/dashboard tools (Metabase, Looker, Tableau).
• Familiarity with product analytics platforms like Amplitude or Mixpanel.
• Comfort working directly with CRM systems and data.
• Clear communicator who can translate data into narratives.

Mansioni

• Turn product usage, customer and commercial data into insights that shape growth.
• Close data gaps for Commercial and Product teams.
• Develop revenue and cashflow forecasting models.
• Analyse churn, feature adoption, and engagement across firm types and tenure.
• Audit and enrich CRM data to provide a reliable view of accounts.
• Build and deliver executive dashboards and periodic reports.

Conoscenze

SQL

Python

BI tools

Amplitude

Mixpanel

CRM data

Storytelling

AI tools

Self-directed

Strumenti

Metabase

Looker

Tableau

Descrizione del lavoro

We're building advanced AI-driven workflow tools that supercharge investment research for private markets. Clients span most of the world's top private equity and consulting firms, with the platform now supporting hundreds of billions of dollars in annual investment activity.

The Role

As our second Data Scientist, you'll turn product usage, customer and commercial data into insights that shape the company's next stage of growth. Commercial and Product teams are currently working with gaps in their data, and you'll be the one closing them.

Example Projects

• Revenue and cashflow forecasting: build models to project usage-based revenue and cashflow using product usage data
• Feature adoption and engagement analysis: determine which features drive retention versus which add little value, breaking results down by firm type, user role and tenure to guide product prioritisation
• Churn and account health scoring: design a health-scoring model that flags at-risk accounts using signals like login frequency, feature depth and search activity, giving Customer Success an early warning system
• CRM data quality and enrichment: audit and clean CRM records, build pipelines to keep them synced with live product usage and give Sales a reliable, current view of every account
• Sales funnel analysis: map the acquisition funnel end to end, pinpoint where deals stall and identify usage patterns that predict conversion
• Executive reporting: create a weekly leadership digest covering revenue, usage, pipeline health and notable anomalies, replacing manual spreadsheet reporting with an automated system

What We're Looking For

• Strong SQL skills, comfortable moving quickly through complex and messy real-world datasets;
• Solid Python ability for data wrangling, analysis and visualisation (pandas, matplotlib, plotly or similar);
• Hands-on experience with a BI or dashboarding tool such as Metabase, Looker or Tableau;
• Familiarity with product analytics platforms like Amplitude or Mixpanel, including event-level data and funnel analysis;
• Confidence working directly with CRM systems and data;
• A clear communicator who can turn data into a compelling narrative;
• Comfortable using AI tools as part of the workflow, including AI-assisted coding;
• Self-directed, with a track record of navigating ambiguity;
• A plus if you've worked in B2B SaaS, fintech or enterprise software where usage data is complex and customer segments vary.