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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Commercial Data Scientist - **Company:** Dow Jones - **Location:** London, UK - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Information Engineering, Python (Programming Language), Salesforce.Com, SQL Databases, Snowflake, Usage Tracking, Machine Learning Operations, Databricks - **Published:** July 11, 2026 - **Apply:** https://uk.indeed.com/viewjob?jk=7428fc9e51a7bfb6 ## About the Role * Education : Master's or Ph.D. in Data Science, Quantitative Finance, Statistics, Economics, Business Analytics, or a closely related quantitative field. * Experience : 5+ years of practical data science experience, with a heavy emphasis on sales intelligence, revenue analytics, or go-to-market data science inside a B2B SaaS, FinTech, or Price Reporting Agency (PRA) setting. * Technical Stack : Advanced mastery of Python or R, production-grade SQL, and deep experience linking machine learning workflows to Salesforce CRM via automated APIs . * Methodology Expertise : Proven skill in supervised classification (lead scoring), predictive churn forecasting, customer segmentation (clustering), and value-based price optimization modeling. * Domain Knowledge : High comfort with the enterprise sales funnel (pipelines, conversion rates, ARR, net revenue retention) alongside an interest in physical energy and chemical supply chains. Success Profile * Sales-First Mindset : Driven by the thrill of closed deals and absolute pipeline growth, seeing math as the ultimate tool to unlock hidden commercial revenue. * Elite Communicator & Collaborator : Able to collaborate effectively in a matrix environment and to stand in front of a global sales floor or senior revenue executives and explain advanced data science models using simple, highly motivating language. * Fast-Paced Operator : Comfortable deploying iterations quickly, prioritizing rapid sales-enablement wins without sacrificing the absolute integrity of the underlying code. ## Description * Build and productionise predictive deal-scoring models that analyze historical win rates, engagement data, and market triggers to rank inbound leads for and White Space opportunities for Sales. * Develop "Next-Best-Action" recommendation algorithms integrated directly into Salesforce, providing Account Executives with automated, real-time prompts for the highest-value upsell and cross-sell angles. * Architect automated account health dashboards that translate complex institutional API and software usage patterns into scannable sales alerts, flagging high-risk client contraction or accounts primed for expansion. * Engineer white-space & TAM analysis models to systematically audit the global commodity market, identifying untapped logos and potential enterprise customers currently missing from our pipeline. Pricing Algorithm Optimization & Revenue Defense * Design dynamic price elasticity and optimization models that simulate client price tolerance across various customer segments to maximize ARR during annual renewals. * Develop contract value simulation matrices that arm Account Executives with data-backed parameters for high-stakes enterprise negotiations, protecting pricing boundaries. * Quantify the specific commercial revenue upside of raw feature updates or new energy index methodologies, telling product and sales leaders exactly how to monetize new data assets. Cross-Functional Sales Enablement & Engineering * Partner directly with Sales/Revenue Operations and Data Engineering to build, maintain, and clean automated sales data pipelines within cloud environments (e.g., Snowflake, Databricks). * Translate highly intricate mathematical models into intuitive, low-jargon dashboards, training global commercial teams to trust and execute on data-driven sales leads. * Establish rigorous data quality loops ensuring that automated alerts pushed to the sales floor are completely accurate and actionable, directly maintaining trust in internal forecasting tools. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Beyond SQL Generation: How to Teach Agents What Your Database Actually Means](https://www.wearedevelopers.com/videos/100127-beyond-sql-generation-how-to-teach-agents-what-your-database-actually-means) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)