PwC
Advanced Technology Solutions (ATS) - AI Security Consulting
DataScientist(m/f)
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optimal for Entry candidates.
“Data Scientist (m/f) at PwC. Skills: Python, Machine Learning, Statistical Modelling, GenAI. Build AI That Solves Real Problems. Design, develop, train, evaluate machine learning”
What You'll Achieve.
drive real business impact; maximize model performance; solve problems at scale; move models from notebook to production; support continuous retraining and improvement; shape real decisions
Industry & Context.
AI That Solves Real Problems; Turn Messy Data Into Insights; frame problems as data science opportunities
What They're Looking For.
Must Have
Python, SQL, 2–3 years of professional experience in data science, machine learning, applied research, or similar analytical roles, English at B2 level or higher
Nice to Have
Experience with other programming languages, Experience applying statistical inference, hypothesis testing, or mathematical optimization, Experience with image processing, object detection, visual reasoning, or satellite imagery analysis, Experience with cloud platforms (preferably Azure: Databricks, Azure ML, Synapse) or similar services on AWS/GCP, Familiarity with MLOps practices (model versioning, CI/CD for ML, experiment tracking)
What You'll Do.
Build AI That Solves Real Problems
evaluate machine learning
Turn Messy Data Into Insights
visualize complex datasets
Perform feature engineering
Push the Boundaries With GenAI & NLP
implement solutions leveraging Large Language Models
Build tools that enable natural language data exploration
See the World Through Computer Vision
Apply image processing
visual reasoning techniques
Experiment Rigorously
execute robust experimentation frameworks
Collaborate with data engineers
Work Directly With Clients
Understand their business challenges
Communicate findings clearly
Stay Ahead of the Curve
Keep up with latest AI/ML research
Grow — and Help Others Grow
Share knowledge with junior team members
How You'll Work.
Team & Collaboration
Engage with global teams; Collaborate with data engineers; platform teams; Work Directly With Clients; Share knowledge with junior team members; mentorship; work reviews; hands-on guidance
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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