Opportunity brief
Responsibilities:
- Assist in developing, training, testing, and optimizing AI and machine learning models.
- Work with sustainability, ESG, climate, and finance-related datasets to support AI-driven analysis and automation.
- Perform data preprocessing, feature extraction, transformation, and model input preparation tasks.
- Support backend analytical workflows, automation processes, and API-based integrations where required.
- Assist in integrating multi-source datasets and maintaining structured AI/ML workflows.
- Conduct research on AI/ML methodologies, frameworks, and emerging technologies relevant to sustainability and finance sectors.
- Contribute to the development of dashboards, reports, and visualization outputs for analytical findings.
- Collaborate with technical and research teams on experimentation, workflow optimization, and intelligent solution development.
Requirements:
- Strong understanding of Artificial Intelligence, Machine Learning, statistics, and analytical problem-solving concepts.
- Prior experience through internships, academic projects, certifications, hackathons, or personal AI/ML projects is preferred.
- Working knowledge of Python, R, SQL, and other relevant AI/ML or analytical tools.
- Familiarity with AI/ML frameworks and libraries such as Scikit-Learn, TensorFlow, PyTorch, Pandas, and NumPy.
- Understanding of model training, validation, feature engineering, and data preprocessing techniques.