PwC
DataScientist
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Scientist at PwC. Skills: Python, Machine Learning, Statistical Modelling, NLP. Build AI solutions. Design machine learning models”
What You'll Achieve.
Drive real business impact
Industry & Context.
Turn challenges into opportunities; Solve real problems; Uncover patterns that matter; Frame problems as data science opportunities
English at B2 level or higher
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
Azure: Databricks, Azure ML, Synapse, AWS/GCP, Machine Learning, Statistical Modelling, NLP, Computer Vision, GenAI
What You'll Do.
Design machine learning models
Develop statistical models
Train machine learning models
Evaluate machine learning models
Explore complex datasets
Analyze complex datasets
Visualize complex datasets
Perform feature engineering
Perform data preprocessing
Perform data selection
Design GenAI solutions
Implement GenAI solutions
Leverage Large Language Models
Leverage Retrieval-Augmented Generation
Leverage NLP techniques
Move models from notebook to production
Monitor model performance
Support continuous retraining
Support continuous improvement
Work directly with clients
Understand business challenges
Frame problems as data science opportunities
Communicate findings clearly
Keep up with AI/ML research
Keep up with emerging techniques
Keep up with new tools
How You'll Work.
Team & Collaboration
Collaborate with data engineers; Collaborate with platform teams; Collaborate with clients
Communication Scope
Communicate findings clearly
Full Job Description
**Job Description & Summary** **PwC** is a global network of more than **370,000 professionals in 149 countries** that turns challenges into opportunities. We create innovative solutions in audit, consulting, tax and technology, combining knowledge from all over the world. Join PwC's **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. * **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. * **Push the Boundaries With GenAI & NLP:** Design and implement solutions leveraging **Large Language Models** , **Retrieval-Augmented Generation (RAG)** , and **NLP** techniques. * **Experiment Rigorously, Deploy Confidently: **Collaborate with **data engineers** and platform teams to move models from **notebook to production** , monitor performance over time, and support continuous **retraining and improvement**. * **Work Directly With Clients:** Collaborate with clients across **Western Europe** and the **USA** to understand their business challenges, fra
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