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# Data Scientist

- **Company:** Robert Walters plc
- **Location:** Cheshire, CT, United States
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** Software Quality, Data Structures, Python (Programming Language), Machine Learning, Azure Machine Learning, Software Deployment, SQL Databases, Large Language Models, Model Validation, Pandas, Microsoft Fabric, Scikit Learn, Xgboost, Machine Learning Operations
- **Published:** September 3, 2026
- **Apply:** https://computerjobs.com/us/en/mob/job/4B021433A73C7D7A6C

## About the Role

* Tech Stack: Advanced Python, SQL, Pandas, Scikit-Learn, and XGBoost/LightGBM.
 * ML Experience: Proven end-to-end delivery of live production models, including MLOps.
 * Domains: Experience in 2+ areas: forecasting, segmentation, recommenders, ranking, or behavioural modelling.
 * Soft Skills: Ability to translate complex technical metrics into clear business value for stakeholders.
 * Desirable: Travel/marketplace sector experience; Azure ML/Microsoft Fabric; LLMs/GenAI in production.

## Description

We need a hands-on Contract Senior Data Scientist to design, build, and ML models that drive commercial performance. You will take ownership of the full life cycle: framing problems, building models, and deploying them reliably into production.

This assignment requires an expert Data Science practitioner who can take complex business problems through the full life cycle independently: framing the problem, exploring data structures, building/validating models, and ensuring reliable production deployment. You will collaborate closely with product, commercial, and engineering teams to deliver robust, outcomes-focused solutions.

Key Deliverables

 * Ship ML Models: End-to-end delivery focusing on pricing, personalisation, forecasting, or user experience.
 * Production & MLOps: Deploy models and set up monitoring, alerting, drift detection, and retraining cadences.
 * Technical Quality: Set a high bar for code quality, testing, and model documentation while advising cross-functional teams.


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