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.
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).
Build AI That Solves Real Problems: Design, train, and evaluate ML and statistical models across diverse use cases — e.g. regulatory document classification, fraud/anomaly detection, and optimization of industrial systems.
Turn Messy Data into Insights: Explore and visualize complex datasets, engineer features, and preprocess structured, unstructured, and high-volume data to maximize model performance.
Push the Boundaries with GenAI & NLP: Build solutions using LLMs, RAG, and NLP — enabling natural language data exploration, knowledge retrieval, and intelligent document interaction.
Apply Computer Vision: Use image processing and object detection to tackle problems at scale, from satellite imagery to visual content validation.
Experiment & deploy: Define experimentation frameworks, validate models, and partner with engineers to move solutions from notebook to production with proper monitoring and retraining.
Work Directly With Clients: Engage with clients in Western Europe and the USA across industries (pharma, energy, agriculture, finance) to frame problems and communicate impact.
Stay current & mentor: Track AI/ML developments, bring new ideas into projects, and support the growth of junior team members.
Python (required): Strong skills with libraries like scikit-learn, PyTorch/TensorFlow, pandas, Hugging Face, LangChain. Clean, reproducible code is a must.
Machine Learning: Hands-on experience building and tuning supervised/unsupervised models.
Statistics & Mathematics: Understanding core statistical concepts, probability, and linear algebra. Experience applying statistical inference, hypothesis testing, or mathematical optimization in practical settings is a plus.
NLP & GenAI (Highly Valued): Experience with natural language processing, text analytics, large language models, prompt engineering, RAG architectures, or other GenAI techniques.
Computer Vision (Nice to Have): Experience with image processing, object detection, visual reasoning, or satellite imagery analysis is an advantage.
Data Handling: Comfortable working with large, messy, real-world datasets. Proficiency in SQL and experience with data wrangling, cleaning, and transformation.
Cloud & MLOps (Nice to Have): Azure (Databricks, Azure ML, Synapse) or AWS/GCP; familiarity with MLOps practices.
Professional Background: At least 2 years of professional experience in data science, machine learning, applied research, or similar analytical roles.
Language Skills: English at B2 level or higher.
Natural Language Data Exploration: Develop dashboards powered by GenAI for intuitive business data analysis.
Document Interaction: Design tools enabling seamless interaction with unstructured and structured text documents.
Knowledge Assistant: Implement ERP transformation with GenAI tools to resolve employee inquiries efficiently.
Agricultural Monitoring: Utilize Computer Vision for analyzing satellite imagery on a large scale.
Automated Reconciliation: Create systems to identify anomalous transactions in accounting ledgers.
Sample solution: https://urbanheatreport.sk.pwc.com/
Conference presentation: https://www.youtube.com/watch?v=v3epaKs2piA
Team profile: https://jobs-cee.pwc.com/sk/sk/solvers-of-pwc-adam-knaze
Thought leadership: https://www.pwc.com/gx/en/issues/technology/path-to-generative-ai-value.html
Salary: starting from 2000 - 3400 EUR/month
For candidates with demonstrated experience the salary is negotiable based on experience and proven seniority.
Contract type: Full-time
Start date: By agreement
Financial Rewards: Benefit from regular salary reviews, performance bonuses and other special bonuses. Enjoy meal contributions and a cafeteria benefit system offering personalized choices.
Flexibility & Work-Life Balance: Enjoy our hybrid working policy, flexible working hours, 2 extra days off during Christmas along with Sick-days. Every minute of your extra work is valued and compensated.
Career Development: Engage in tailored internal and external training programs as well as structured career development plan.
Health & Well-being: Access premium benefits such as Multisport card or a medical center membership. Take advantage of our Well-being and Work-Life Coaching program.
Supportive Culture: Participate in team building activities and social events and join our employee referral program. Experience a culture with regular feedback and a supportive environment.
Global Opportunities: Seize the opportunity for international assignments and work on diverse projects with international clients. Explore the world while working with the possibility of working from abroad.
Extra perks: Use various discounts at partner companies such as cars, health care, beauty, culture or others. Transfer up to 4 telephone numbers at discounted rates.
At PwC, we believe in nurturing your career, supporting your health and wellness, and recognizing your dedication. Join our team and experience a workplace that values you beyond your work hours.
If you'd like to apply for this position, please click on the "Apply Now" button on our website and apply through our system.
You can find the data privacy announcement here: https://pwc.to/2s8n2tn
If the current position is not right for you but you have friends or acquaintances in your area who could be interested in working with us, feel free to direct them to us. If we establish cooperation with a candidate recommended by you, you can receive a reward from 300 to 1000 EUR, depending on the seniority of the candidate: https://www.pwc.com/sk/en/careers/get-rewarded-for-recommending-candidate.html
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