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# Data Scientist (AI & Analytics)

- **Company:** KPMG International Cooperative
- **Location:** Shap, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Business Analytics Applications, Data Analysis, Microsoft Azure, Computer Programming, Data Cleansing, Information Engineering, Python (Programming Language), Machine Learning, Standard Sql, Supervised Learning, Cloud Platform System, Feature Engineering, Model Validation, Pyspark, Scikit Learn, Databricks
- **Published:** September 13, 2026
- **Apply:** https://www.careerjet.co.uk/jobad/gb95493bcd62d36594a2e4a0d435f1c3a3

## About the Role

* 7+ years of experience in data science, machine learning or advanced analytics
 * Strong experience with (un)supervised learning, statistical modeling and data analysis
 * Experience working with large-scale transactional or behavioral datasets
 * Strong programming skills in Python (including PySpark & ML libraries) and SQL
 * Experience with model validation, monitoring, and explainability techniques (e.g. SHAP)
 * Understanding of data engineering concepts and collaboration with engineering teams
 * Familiarity with regulated environments (e.g. financial services, AML/KYC) is a strong advantage
 * Experience with cloud-based data platforms (e.g. Databricks, Azure)
 * Ability to translate complex analytics into business-relevant insights
 * Strong communication and stakeholder engagement skills
 * Fluent in English; other European languages are an advantage

## Description

We are looking for an experienced professional with 7+ years of experience to support the development AI and analytics solutions in enterprise environments.
You are a versatile data scientist who enjoys working at the intersection of data, analytics, and business problems, and can apply a range of techniques, from statistical modelling to machine learning, to generate actionable insights and scalable, production-grade solutions., * Design, develop and validate machine learning models and advanced analytics solutions

 * Apply a combination of techniques such as statistical modelling, machine learning, optimization, and rule-based logic, depending on the use case
 * Contribute to data preparation, feature engineering, and model development workflows
 * Ensure models are developed with appropriate validation, monitoring, and performance tracking mechanisms
 * Incorporate explainability, transparency and robustness principles into model development
 * Collaborate closely with data engineers and architects to operationalize models in production environments
 * Support the development of end-to-end analytical solutions, from experimentation to deployment
 * Contribute to documentation, knowledge transfer and client enablement
 * Build constructive working relations across teams, functions and cultures and demonstrate KPMG behaviors and values