Data Scientist, SFI Research

Overview The Data Science & NLP team sits within the Sustainable Finance and Investment (SFI)group. Our mission is to research and develop pioneering models that address some of the most complex challenges in Sustainable Finance. By combining deep expertise in data science, artificial intelligence, and product development with the subject matter knowledge of the wider SFI group, we deliver innovative, data-driven solutions that empower our customers to make more informed decisions. Our work spans a wide range of domains, including public companies, private equities, and sovereign entities. About the Role We are seeking a Senior Data Scientist to drive the research and development of advanced data science solutions and intellectual property (IP) that address SFI challenges. The role requires a blend of strong technical expertise, knowledge of Environmental, Social, and Governance (ESG) frameworks, project management, and collaborator engagement. You will play a key role in shaping methodologies, developing production-grade solutions, and ensuring successful integration into our platforms. Responsibilities IP & Methodology Research and Development (R&D)Research, design and build advanced 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, 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. Requirements 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 platform. Bonus: Research experience in machine learning, NLP or ESG. Bonus: Work experience in financial industry or ESG-related projects. Skills 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. Documentation & Presentation: 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. Bonus: Experience in developing LLM-based solutions for commercial products or platforms. Experience with building interactive user interfaces (e.g., Gadio, Streamlit, Dash)Experience with model monitoring tools (e.g., MLflow, Weights & Biases)Soft Skills Communication: Excellent writing and verbal communication skills, especially for explaining complex concepts to non-technical collaborators. Research & Project Planning: Skilled at setting research directions, driving project planning, defining milestones, and aligning with collaborators to ensure timely delivery. Multitasking: Able to manage multiple priorities and deliver results in a fast-paced environment. Problem Solving: Strong research and analytical skills in developing innovative and practical solutions. What We Can Offer Flexible working arrangements Exposure to international teams Training and opportunities to grow within the company #J-18808-Ljbffr