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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** SHI - **Location:** London, UK - **Experience:** Experienced - **Salary:** £45,000.0 - £50,000.0 - **Contract:** Permanent contract - **Skills:** A/B Testing, Data Analysis, Software as a Service, Information Engineering, Data Visualization, Python (Programming Language), Machine Learning, Recommender Systems, Power BI, Tensorflow, Salesforce.Com, SQL Databases, Tableau (Software), Scikit Learn, Xgboost, Data Pipelines, Unsupervised Learning - **Published:** September 24, 2026 - **Apply:** https://dejobs.org/x/x/00873E4537434AF99CC48D5AC4A5ABFE/job/ ## About the Role * 2-4 years of experience in data science, machine learning, pricing analytics, or commercial operations. * Strong technical background in Python or R, SQL, and applied ML libraries (e.g. scikit-learn, TensorFlow, XGBoost). * Experience with data visualization tools (Tableau, Power BI, or similar). * Understanding of statistical methods, supervised/unsupervised learning, and business experimentation. * Ability to interpret and communicate insights clearly to non-technical stakeholders. * Comfortable working in a fast-paced, cross-functional environment with exposure to commercial decision-making. Other Requirements * Exposure to pricing models, B2B enterprise sales, or SaaS/commercial optimization domains. * Familiarity with CRM (e.g., Salesforce) or Q2C systems. * Interest in finance, negotiation science, or behavioural economics. ## Description We're looking for a curious, driven, and analytically strong Data Scientist to join our newly formed Growth Strategy & Deal Operations team. You'll play a pivotal role in helping us develop data models and decision intelligence tools that support smarter pricing, improved deal governance, and greater commercial performance across SHI's enterprise business., * Support development of machine learning models for pricing optimisation, margin prediction, and customer segmentation. * Build and maintain deal scoring and prioritisation models to assess strategic value and commercial risk. * Apply techniques like regression, clustering, time series forecasting, and classification to commercial datasets. Data Analysis & Insight: * Analyse historical pricing, win/loss, vendor incentive and cost data to uncover trends and inform pricing strategy. * Collaborate with Pricing Strategy, Competitive Intelligence, and Deal Desk teams to identify and test use cases. * Create dashboards and visualisations that enable real-time insights into pricing performance and deal behavior. Implementation & Enablement: * Help translate models into tools or decision aids for use by sales, finance, and pricing teams. * Work with the Business Intelligence and Data Engineering teams to ensure access to clean, structured data pipelines. * Participate in A/B testing and pilot deployments of pricing or recommendation engines. Behaviors and Competencies * Analytical Thinking: Can apply critical thinking to analyse data, identify patterns, and make basic inferences. * Data Analysis: Can identify patterns and trends in data, propose hypotheses, and use statistical techniques to test them. * Data Literacy: Can identify relevant data sources, collect data, and use basic tools to interpret and report findings. * Critical Thinking: Can analyse and interpret data to inform decision-making, and propose solutions based on logical reasoning. * Attention to Detail: Can identify errors or inconsistencies in work and make necessary corrections. * Communication: Can effectively communicate complex ideas and information, and can adapt communication style to the audience. * Problem-Solving: Can identify problems, propose solutions, and take action to resolve them without explicit instructions. * Technical Expertise: Can apply technical knowledge and skills effectively in most situations, with occasional guidance. * Time Management: Can generally use time effectively and is working towards improving task prioritisation and deadline management. * Continuous Improvement: Can identify moderate areas for improvement and implement moderate changes. ## Related Videos - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [TikTok's Privacy Innovation](https://www.wearedevelopers.com/videos/1036-tiktok-s-privacy-innovation) - [How We Built a Machine Learning-Based Recommendation System (And Survived to Tell the Tale)](https://www.wearedevelopers.com/videos/752-how-we-built-a-machine-learning-based-recommendation-system-and-survived-to-tell-the-tale) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) ## Related Articles - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Analyst Salary in Switzerland](https://www.wearedevelopers.com/magazine/276-data-analyst-salary-in-switzerland) - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany) - [Software Engineer Salary London](https://www.wearedevelopers.com/magazine/252-software-engineer-salary-london)