PwC
DataScientist(m/f)
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Scientist (m/f) at PwC. Skills: Python, machine learning, statistical modelling, NLP, computer vision, GenAI. Design, develop, train, and evaluate machine learning and statistical models. Explore, analyse, and visualize complex datasets”
What You'll Achieve.
drive real business impact; maximize model performance; production-ready solutions; solve problems at scale; shape real decisions
Industry & Context.
AI and machine learning solutions that drive real business impact; Build AI That Solves Real Problems; Turn Messy Data Into Insights; Push the Boundaries With GenAI & NLP; See the World Through Computer Vision; Experiment Rigorously, Deploy Confidently; Work Directly With Clients; Understand their business challenges; Frame problems as data science opportunities
What They're Looking For.
Must Have
Python, SQL, B2 level English
Nice to Have
PhD, Azure, AWS, GCP, MLOps practices, image processing, object detection, visual reasoning, satellite imagery analysis
What You'll Do.
and evaluate machine learning and statistical models
and visualize complex datasets
Perform feature engineering
Design and implement solutions leveraging Large Language Models
Retrieval-Augmented Generation (RAG)
Apply image processing
and visual reasoning techniques
Define and execute robust experimentation frameworks
Collaborate with data engineers and platform teams to move models from notebook to production
Monitor performance over time
and support continuous retraining and improvement
Understand client business challenges
Frame problems as data science opportunities
Communicate findings clearly
Keep up with the latest in AI/ML research
Share knowledge with junior team members
How You'll Work.
Team & Collaboration
Engage with global teams across Western Europe and the USA; Collaborate with data engineers and platform teams; Collaborate with clients across Western Europe and the USA; Share your knowledge with junior team members through mentorship, work reviews, and hands-on guidance; Help build a culture of excellence and curiosity across the team; Participate in team building activities and social events
Communication Scope
communicate findings clearly
Full Job Description
**Job Description & Summary** **Location:****** Bratislava, Košice (Hybrid) — Engage with global teams across Western Europe and the USA **Team:** Advanced Technology Solutions (ATS) - AI Security Consulting at PwC Join PwC's pioneering **data & AI team** and help design and deliver the **AI and machine learning solutions** that drive real business impact. We're growing quickly due to a strong pipeline of client work, and we're hiring across multiple seniority levels — from **junior to senior Data Scientists**. **Python** is the core skill we expect. Depending on your strengths, you may focus on **machine learning** , **statistical modelling** , **NLP** , **computer vision** , or **GenAI**. Many roles also include "full-solver" flexibility — contributing where needed, including **experimentation** , **prototyping** , **deploying models** , or working **end-to-end on AI use cases** using modern platforms (including **Microsoft technologies** where relevant). ## **What You 'll Do:** * **Build AI That Solves Real Problems:** Design, develop, train, and evaluate **machine learning** and **statistical models** across a wide range of business challenges — from classifying pharmaceutical documents for regulatory compliance and detecting anomalies in financial transactions to optimizing pressure in industrial pipeline systems through **predictive modelling** and **constrained multi-dimensional optimization**. * **Turn Messy Data Into Insights:** Explore, analyse, and visualize complex datasets to uncover patterns that matter. Perform **feature engineering** , **data preprocessing** , and selection to maximize model performance — whether you're working with structured financial data, unstructured regulatory texts, or high-volume sensor streams. * **Push the Boundaries With GenAI & NLP:** Design and implement solutions leveraging **Large Language Models** , **Retrieval-Augmented Generation (RAG)** , and **NLP** techniques. Build tools that enable natural language data explora
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