Responsibilities

Research, design and build advanced NLP & data science solutions to address ESG-related challenges (e.g., company carbon emissions estimations, ESG data extraction from company filings).
Collaborate with engineering and operations teams to deploy robust and scalable models, pipelines, and user interfaces.
Maintain and enhance existing methodologies and codebases to add new features and improve quality. Stay on top of the latest R&D in data science, NLP (GenAI), competitor offerings, and sustainable finance.
Advise internal and external partners on knowledge of SFI models as a Subject Matter Expert (SME).
Data Analysis and Integration Identify and assess data sources, as well as develop data queries needed by projects.
Analyze data and identify patterns to ensure practical, customer focused and production-ready designs. Integrate internal and external data sources into end-to-end pipelines for solution development.
Project Management & Collaborator Engagement Collaborate with cross-functional team members across research, engineering and operations to drive successful project outcomes.
Provide technical leadership in project planning, deliverable scoping and solution architecture.
Proactively identify potential risks and issues, and engaging collaborators to develop and implement mitigation strategies.
Effectively communicate complex analyses and insights to both technical and non-technical audiences through clear reports, visualizations and presentations.

Basic qualifications

Bachelor, Master or Ph.D. degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
Minimum 5 years’ working experience as a Data Scientist or similar roles, with emphasis on machine learning, NLP or advanced analytics.
Strong coding skills with track record of delivering data science solutions in commercial products or platforms.
Advanced Python: data analysis (pandas/polars), data query (SQL, APIs), modular programming, performance optimization, etc.
Core Expertise: statistics, machine learning, model evaluation, and classical NLP techniques.
Ability to produce clear, structured technical and non-technical materials.
Collaboration Tools: Git, containerization (Docker) and cloud platforms (AWS, Azure) LLM Fundamentals: understanding of use cases, cost structures, human-in-the-loop workflows, and RAG.

Experience in developing LLM-based solutions for commercial products or platforms.
Experience with building interactive user interfaces (e.g., Gradio, Streamlit, Dash)
Experience with model monitoring tools (e.g., MLflow, Weights & Biases)
Experience with agentic AI
Research experience in machine learning, NLP or ESG
Work experience in financial industry or ESG-related projects.

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Fulltime Ai Data Science Nlp