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# Senior Data Scientist

- **Company:** Jacobs Engineering Group Inc.
- **Location:** Warsaw, IN, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Microsoft Azure, Business Systems, Data Cleansing, Data Mining, Data Visualization, Python (Programming Language), Machine Learning, NumPy, Azure Active Directory, SciPy, SQL Databases, Unstructured Data, Feature Engineering, Model Validation, Git, Pandas, Matplotlib, AI Platforms, Pyspark, Core Data, Scikit Learn, Xgboost, Plotly, Docker
- **Published:** September 21, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/plrf7697v9

## About the Role

* Senior-level data science experience, typically 5+ years in data science, advanced analytics or a related field
 * Strong Python skills and practical experience with pandas and core data science libraries
 * Experience developing regression models, statistical models, segmentations and machine learning solutions
 * Strong understanding of statistics, exploratory data analysis, feature engineering and model evaluation
 * Experience with data mining processes, data preparation and data scraping
 * Ability to work with messy, real-world business data and convert it into useful analytical outputs
 * Experience working in consulting or client-facing delivery environments
 * Strong English communication skills and confidence working with UK-based stakeholders

Nice to have

 * Experience with Microsoft Azure and Azure-based data/AI services
 * Experience with Palantir Foundry
 * Experience with PySpark, SQL, XGBoost, time-series forecasting or NLP
 * Experience with data visualisation using Matplotlib, Seaborn or Plotly
 * Experience supporting sales, bid, commercial or business-performance analytics
 * Knowledge of Git, Docker or productionisation of data science models

## Description

* Develop predictive models and machine learning solutions for business systems and commercial use cases
 * Apply regression, classification, segmentation, forecasting and other statistical modelling techniques as appropriate
 * Explore, clean, transform and analyse structured and unstructured data from multiple sources
 * Build repeatable data-mining processes, including data sourcing, scraping where appropriate, feature engineering, modelling and evaluation
 * Use Python and data science libraries such as pandas, NumPy, scikit-learn, SciPy and visualisation tools
 * Translate business questions into analytical approaches, explain results clearly and make practical recommendations
 * Support MSA Mining activities on the Azure stack; experience with Palantir Foundry is an advantage
 * Support long-term Sales Data Science, including model development and statistical analysis
 * Work closely with UK stakeholders and consulting teams, contributing to workshops, technical discussions and delivery planning
 * Document assumptions, methodologies, model performance and limitations to support responsible use of data science solutions


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