Data Scientist Python GenAI freelance
Data Scientist Python GenAI freelance
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Job Description
Job Description & Summary
PwC Polands Digital& is a team of creative people focused on development in the field of DATA in its broadest sense. Our area of interest includes machine learning MLOps Data Engineering and everything related to data. We carry out projects related to ML forecasting and last but not least Explainable AI. We support clients in a number of industries: banking insurance retail and location: Europe the US South America and Asia.
We are looking for:
Data Scientist (Python GenAI)
Your future role:
- Developing innovative solutions both internally and for our PwC US clients by leveraging cuttingedge machine learning and AI technologies.
- Modelling developing & validating intelligent assistants using the latest large language models (e.g. GPT4 Falcon 2 LLAMA 3 Mixtral) employing Retrieval Augmented Generation techniques and utilizing agent frameworks (e.g. Langraph CrewAI).
- Utilizing AI expertise to recommend the most effective technical approaches and solution architectures for addressing business challenges.
- Communicating complex insights in a clear and actionable manner both to technical and nontechnical colleagues and clients.
- Collecting preprocessing and analyzing large datasets for training ML models
- Contributing to project documentation
Apply if you have:
- 3 years of relevant professional experience;
- Professional experience in building applications using Large Language Models (LLMs) and related concepts & design patterns (e.g. RAG vector DBs embeddings prompt engineering multiagent systems)
- Familiarity with LLM frameworks (e.g. Langchain LLamaindex)
- Proficiency in Python programming
- Core skills in statistics
- Solid knowledge of ML/AI concepts: types of algorithms machine learning frameworks model efficiency metrics model lifecycle AI architectures
- Experience in training/using transformerbased models for text and/or image data
- Expertise in working with large datasets and perform data cleaning transformation and manipulation (e.g. Pandas NumPy SQL)
- Graduated in Economics Econometrics Quantitative Methods Computer Science Maths Physics Operational Research or a related discipline
- Proficiency in English both written and spoken
- Excellent analytical and problemsolving skills
Nice to have:
- Knowledge of frameworks and Python libraries related to GenAI agents (e.g. Langraph CrewAI Autogen Taskweave)
- Knowledge of Natural Language Processing techniques
- Knowledge of an extra programming language (e.g. C# Go Java)
- Knowledge of reinforcement learning key concepts
Our recruitment process:
- After positive CV verification our Recruiter will contact you by Phone for a short screening call
- Lets get to know each other better during the recruitment interview.
With any queries please contact with job title in the subject.
Your personal data will be processed for recruitment purposes by PwC Advisory spka z ograniczon odpowiedzialnoci sp.k. or another PwC entity which runs a recruitment process (list of entities). If you have given separate consent data will also be processed for other purposes in accordance with the content of the consents granted. Full information about processing your personal data is available in the Privacy Policy.
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Employment Type
Full-Time
