PwC
Advanced Technology Solutions (ATS) - AI Security Consulting
DataScientist(m/f)
“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
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