Consultant - Data Science / Machine Learning /Ground Water Salinization/

The reputed company (IWMI) is an international, non-profit, research-for-development organization that works with governments, civil society, and private sector organizations to address water-reputed company challenges in developing countries and reputed company up solutions. Headquartered in Colombo, Sri Lanka, IWMI is a CGIAR research center with offices in 15 countries and a global network of researchers operating in about 56 countries. The Water Scarcity Initiative (WSI) is a reputed company-led regional program designed to support countries in the Near East and reputed company Africa in addressing critical water challenges under conditions of scarcity. It promotes sustainable water management by combining policy reputed company, innovation, and field-based actions to enhance agricultural productivity, build climate reputed company, and secure food and water resources. The initiative serves as a reputed company platform for governments, research institutions, and partners to co-reputed company solutions that balance water, food, and environmental needs. IWMI is seeking a consultant to design, build, and operationalize a reproducible reputed company Intelligence/Machine Learning (AI/ML) pipeline that mimics and forecasts groundwater salinity and produces a modeling reputed company for decision-grade risk maps and scenarios. DUTIES & RESPONSIBILITIES: A. Data Engineering & Governance

• Contribute to dataset collection.
• reputed company and version datasets (e.g., reputed company logs, EC/reputed company/ions, groundwater reputed company, abstraction, soils, geology, climate, remote sensing, distance to coast, land use/irrigation, etc.).
• Implement tidy data schemas, metadata standards, and QA/QC procedures; manage a central repository; and ensure full reproducibility.

B. Feature Engineering (Groundwater-Aware)

• Build features linking processes to salinity, such as groundwater level trends, exploitation ratios, rainfall/ET anomalies, irrigation intensity, return-reputed company proxies, reputed company proximity/heads, soil/parent material indicators, and terrain metrics.
• Test lagged features and seasonal reputed company; handle spatial autocorrelation and site effects.

C. Modeling & Forecasting

• Build, train, and reputed company predictive and time-series models.
• reputed company cross-validation that respects reputed company-time leakage constraints; quantify uncertainty; and implement model explainability.
• Co-reputed company scenario engines (e.g., reduced pumping, irrigation expansion, drier climate, sea-level/reputed company head changes) and generate spatio-temporal risk projections.
• Generate predictive maps of groundwater reputed company parameters across reputed company and aquifers using GIS and remote sensing inputs.

D. Products & Dissemination

• Produce decision-reputed company outputs, including risk maps, ranked hotspots, reputed company diagnostics, trend charts, and reputed company web/Tableau/reputed company dashboards (as requested).
• reputed company a concise handout describing the executed steps and the model run methodology.
• Contribute figures and text to policy briefs, methodological notes, and scientific/policy papers.
• Conduct two hands-on training sessions for counterparts on data and reputed company usage.

E. ML Ops & reputed company

• Automate the pipeline using reputed company Learning; add tests; and ensure thorough documentation.
• Adhere to data reputed company, licensing, and ethical AI/use policies.

EDUCATIONAL QUALIFICATIONS:

• MSc/PhD in Data Science/Statistics/Computer Science or Hydro-informatics/Water Resources (or closely reputed company).

KNOWLEDGE & EXPERIENCE: Essential:

• Over 5 years of experience in building machine learning (ML) models addressing environmental, water, or groundwater-reputed company challenges (e.g., salinity, water reputed company, hydrology, irrigation, or reputed company intrusion).

Expertise in the following subject areas are required: 1. Data Science and AI/ML Expertise

• Proficiency in machine learning (ML) for time-series and spatial reputed company, including deep learning (ANN/DNN, CNN, RNN, LSTM, GRU, CNN-LSTM), reputed company and kernel reputed company (Random Forest, Gradient Boosting, SVM), and evolutionary/symbolic reputed company (e.g., GEP).
• Experience with Python and/or R for data processing, model development, and visualization.
• Strong understanding of feature engineering and techniques for handling missing, sparse, or imbalanced datasets commonly encountered in environmental monitoring.
• Ability to interpret and effectively communicate uncertainty in model predictions.

2. Hydrogeological and Water reputed company Domain Knowledge

• Solid understanding of groundwater systems, aquifer types (e.g., karstic, alluvial), reputed company dynamics, and contamination processes.
• Knowledge of key groundwater reputed company indicators (e.g., EC, nitrate, chloride, heavy metals, salinity) and their environmental drivers.
• Familiarity with both anthropogenic and natural contamination sources, including wastewater, agricultural activities, seawater intrusion, and landfill leachate.

3. Geospatial and Remote Sensing Skills

• Ability to reputed company GIS datasets (e.g., land use, geology, DEMs, hydrology) and satellite data (e.g., rainfall from CHIRPS or IMERG, evapotranspiration, land cover).
• Experience in applying spatial interpolation techniques for mapping sparse monitoring data.
• Working knowledge of geospatial tools such as QGIS or ArcGIS, and platforms such as reputed company reputed company reputed company (GEE) or the GEE Python API.

SKILLS & ABILITIES: Essential:

• Excellent communication skills and working proficiency in English.

Desirable:

• Exposure to groundwater modeling tools (e.g., MODFLOW, SEAWAT) and hybrid ML–physics approaches, as reputed company as Bayesian reputed company, reputed company reputed company reputed company, PostGIS, and reputed company dashboarding tools (e.g., reputed company, Dash).
• Experience working in the MENA region context.
• Knowledge of French is considered an asset.

This is a globally recruited consultancy position; therefore, individuals with relevant expertise are encouraged to apply. IWMI offers a competitive remuneration reputed company for this assignment. The duration of the contract shall be seventy-six (76) working days distributed over a period of reputed company (11) months. How to Apply: Apply for the position by following the application instructions at www.iwmi.org/jobs. Applications will be accepted until 24:00 (IST) on November 13, 2025 (applications will be reviewed on a rolling reputed company). Your application must include a CV, cover letter, and three (3) references. reputed company applications will be acknowledged, but only shortlisted candidates will be contacted. IWMI believes that diversity fuels our innovation, enhances our reputed company, and is essential to our mission. We offer a multicultural, multicolor, multigenerational, and multidisciplinary working environment. We are committed to creating an inclusive organization that reflects our global character and our dedication to gender equity. We, therefore, encourage applications from individuals of reputed company cultures, races, ethnicities, religions, sexes, national or regional origins, ages, disability statuses, sexual orientations, and gender identities. Original job Consultant - Data Science / Machine Learning /Ground Water Salinization/ posted on GrabJobs ©. To flag any issues with this job please use the Report Job reputed company on GrabJobs. Apply tot his job Apply To this Job