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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** Keypath Education - **Location:** United States (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Microsoft Azure, Continuous Integration, Information Engineering, Data Infrastructure, Statistical Hypothesis Testing, Python (Programming Language), Machine Learning, Microsoft Dynamics, Azure Machine Learning, Salesforce.Com, Feature Engineering, Large Language Models, Prompt Engineering, Kaggle, Generative AI, Pandas, Microsoft Fabric, Scikit Learn, Information Technology, Statistics Packages, Xgboost, Machine Learning Operations, Software Version Control, Databricks - **Published:** August 9, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/paeq38iuwp ## About the Role * Bachelor's degree or Master's degree in data science, statistics, computer science, mathematics, engineering, economics, or a related quantitative field. * 3-5 years of professional experience in a data science, machine learning, or applied analytics role. * Experience directly managing or mentoring one or more analysts, including providing technical guidance, performance feedback, and professional development support. * Strong proficiency in Python for data science (pandas, scikit-learn, XGBoost/LightGBM, statsmodels, or equivalent). * Hands-on experience building and deploying predictive models in a commercial or operational context (not solely academic/Kaggle). * Practical experience with large language models (LLMs), including prompt engineering, fine-tuning, or building agentic AI workflows using frameworks such as LangChain, Semantic Kernel, or Azure AI Foundry. * Solid grounding in statistics and experimental design (hypothesis testing, regression, classification, time series). * Experience with MLOps practices: model versioning, CI/CD for ML pipelines, monitoring, and reproducibility. * Strong communication skills with the ability to present complex technical work to senior business stakeholders in a clear, outcome-focused manner. Additional Skills & Experience that are desirable but not essential include the following: * Experience with Microsoft Azure cloud services (Azure ML, Azure AI Foundry, Azure OpenAI Service). * Familiarity with Microsoft Fabric, Databricks, or similar modern data platforms. * Experience with MLflow or equivalent experiment tracking and model registry tools. * Exposure to the education, EdTech, or student lifecycle domain. * Experience integrating model outputs into CRM platforms (e.g. Dynamics 365, Salesforce). * Familiarity with R for statistical modelling. ## Description We are looking for a mid-level Data Scientist to join our Strategy & Insights team. Reporting directly to the Director of Data, Insights & AI, you will design and deliver predictive models and generative AI solutions that drive commercial outcomes across the student lifecycle. You will work across the full model development lifecycle-from problem framing and exploratory analysis through to deployment and monitoring-and collaborate closely with stakeholders across marketing, enrolment, student success, and product teams. What You'll Be Doing * Design, build, and validate predictive models (e.g. lead scoring, propensity modelling, forecasting, risk prediction) that inform operational and strategic decisions. * Develop and deploy generative AI solutions, including LLM-powered agents, retrieval-augmented generation (RAG) pipelines, and prompt engineering workflows to automate and enhance business processes. * Translate business problems into well-scoped analytical and modelling projects, working with stakeholders to define success criteria and measurable outcomes. * Perform feature engineering, model selection, hyperparameter tuning, and rigorous evaluation using appropriate statistical and ML techniques. * Productionise models into scalable, maintainable pipelines, collaborating with data engineering to integrate outputs into downstream systems (e.g. CRM, BI tools, operational dashboards). * Monitor model performance post-deployment, manage model drift, and implement retraining strategies. * Communicate findings and model outputs to non-technical stakeholders through clear visualisations, written summaries, and presentations. * Stay current with developments in applied ML and generative AI, and contribute to the team's knowledge-sharing and capability-building efforts. * Provide guidance, direction, and oversight to one direct report within the Data, Insights & AI team. ## Related Videos - [Machine learning 101: Where to begin?](https://www.wearedevelopers.com/videos/1014-machine-learning-101-where-to-begin) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [TikTok's Privacy Innovation](https://www.wearedevelopers.com/videos/1036-tiktok-s-privacy-innovation) - [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [Explainable machine learning explained](https://www.wearedevelopers.com/videos/589-explainable-machine-learning-explained) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [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) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)