Data Scientist

Data Scientist (Python + GenAI)

Your future role:

• Developing innovative solutions, both internally and for our US clients by leveraging cutting-edge machine learning and AI technologies.
• Modelling, developing & validating intelligent assistants using the latest large language models (e.g., GPT-4, 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 non-technical 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, multi-agent 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 life-cycle, AI architectures
• Experience in training/using transformer-based 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 problem-solving 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