Senior Data Scientist (AI & Analytics)

The KPMG Delivery Network (KDN) is a KPMG special purpose member firm offering a way for clients to leverage KPMG top talent and technology platforms through regional teams of specialists, enabling economies of scale and a new way of working that expands beyond local capability.

Together with KDN, KPMG member firms can drive the sales and delivery of global solutions at a competitive price and in a repeatable and consistent manner. As a member of KDN, you’ll be a part of the KPMG family working alongside some of our profession’s most skilled practitioners on rewarding programs and initiatives that are changing the way business operates, delivering value to our clients, and driving positive change in the communities we serve.

You’ll be enabling KDN accelerate new ways of working, using cutting-edge technology and working together with our member firms located in nearly 150 countries to help us achieve our ambition to be the most trusted and trustworthy professional services firm.

And through your work, you’ll build a global network and unlock opportunities that you may not have thought possible with access to great support, vast resources, and an inclusive, supportive environment to help you reach your full potential.

Our KDN Cloud unit is focused on designing, building, securing and managing cloud native & hybrid platforms for the KPMG group of member firms, as well as providing cloud advisory and engineering services to external clients.

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

• 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