[Hiring] Researcher - Data Science @International Water Management Institute
Mar 26, 2025 - International Water Management Institute is hiring a remote Researcher - Data Science. đź’¸ Salary: competitive salary with benefits. đź“ŤLocation: Asia.
Role Description
The International Water Management Institute (IWMI) is seeking a dynamic and technically skilled Data Scientist to lead impactful research and contribute to global water security from our headquarters in Colombo, Sri Lanka as a Researcher – Data Science.
This role is ideal for an AI professional with expertise in Generative AI, machine learning, cloud computing, MLOps, and AI deployment.
The Researcher – Data Science will lead the design, development, and deployment of AI models for water management applications while ensuring scalability, efficiency, and seamless integration with IWMI’s data systems through end-to-end AI pipelines. The incumbent will collaborate with stakeholders and interdisciplinary teams to translate research into practical solutions and contribute to the advancement of data-driven decision-making tools for sustainable water resources.
DUTIES & RESPONSIBILITIES:
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AI Model Development & Technical Implementation:
- Develop machine learning, forecasting, and generative AI models for hydrology and environmental applications.
- Work with large-scale geospatial, hydrological, and sensor datasets to improve predictive capabilities.
- Optimize cloud-based AI workflows using AWS, Azure, or GCP.
- Deploy AI solutions for water data processing, risk analysis, and sustainability modeling.
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AI Deployment & MLOps:
- Implement end-to-end AI pipelines with best practices in MLOps & model versioning.
- Use Docker, MLFlow, and Databricks for scalable and automated AI workflows.
- Maintain model performance, accuracy, and continuous retraining for real-world applications.
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Data Science & Open Data Integration:
- Support the integration of AI models into IWMI’s open data platforms and digital infrastructure.
- Work with remote sensing, GIS, and hydrological models to enhance AI-driven decision support systems.
- Ensure FAIR data principles (Findable, Accessible, Interoperable, Reusable) are applied in all AI solutions.
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Collaboration & Research Advancement:
- Work closely with data engineers, hydrologists, and policymakers to develop impactful AI-driven tools.
- Mentor early career researchers and data scientists in best practices for AI and cloud-based data science.
- Contribute to scientific publications, funding proposals, and strategic research initiatives.
Qualifications
- PhD in AI, Data Science, Machine Learning, or closely related field, coupled with a minimum of 5 years of relevant post-doctoral experience; OR Master’s degree in the aforementioned fields, with a minimum of 10 years of relevant experience.
- Strong experience in AI & ML (forecasting, Generative AI, LLMs, NLP, predictive modelling).
- Experience deploying AI solutions in real-world projects & industries.
- Technical leadership experience including guiding small teams in AI/ML implementation.
Requirements
- Proficiency in Python & AI frameworks (PyTorch, TensorFlow, OpenAI APIs, Hugging Face).
- Understanding of digital twins, GIS, and environmental AI applications.
- Expertise in Cloud computing (Azure ML, AWS, Databricks, Docker, MLFlow).
Benefits
- Competitive salary
- Attractive retirement plan
- Comprehensive international health insurance
- Life insurance and accidental death and dismemberment (AD&D) insurance
- Long-term disability coverage
- Relocation assistance and housing allowance for internationally recruited staff
- Initial contract duration of one year
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| đź“Ť | Be aware of the location restriction for this remote position: Asia |
| ‼ | Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more. |
|
Salary
đź’¸
competitive salary with benefits
|
Remote
Location
Asia
|
|
Job Type
full-time
|
Posted
Mar 26, 2025
|
| đź“Ť | Be aware of the location restriction for this remote position: Asia |
| ‼ | Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more. |
