Data Scientist

2 weeks ago


Remote, India Climate Bonds Initiative Full time

Request for Proposals Data scientist for Taxonomy based Project alignment classification.

**1. Background**

**2. Purpose and Objectives**

2.1 To enhance project identification of the level of project/assets’ alignment with various taxonomies, our Climate Bonds seeks to hire a skilled data scientist to develop a model that can classify the projects in the alignment system shown below based on the guidelines (sector, subsector, asset type, screening indicators, etc.) provided by taxonomies.

2. 2 Once the level of alignment of projects/assets has been identified. It is necessary to show which are the screening indicators that projects need to meet to demonstrate alignment with the taxonomies or principles in question.

**3. Scope of Services and Deliverables**

The desired output of the data scientist's work is a robust and scalable model that can accurately identify projects potentially aligned with various taxonomies. The model should consider the principles and guidelines provided in the taxonomies to make informed predictions. The model's output should be interpretable and transparent, allowing users to understand the basis for its classifications. Additionally, the data scientist should provide documentation and guidelines on how to use the model effectively, including recommendations for data inputs, model use and configuration, and interpretation of results. Ultimately, the model should enable the organization to streamline the project’s alignment process by automating the alignment with taxonomies and their screening indicators. This will save time, reduce manual effort, and improve the accuracy and consistency of taxonomy-based project alignment analysis.
- Phase 1:

- Classification of projects into sectors and sub-sectors
- Assigning an asset type and applicable screening indicator
- Check the compatibility of the project and align it with the above alignment system
- Results accuracy
- Phase 2: Check the interoperability of the projects with different taxonomies
- Phase 3: Refining the tool accuracy
- Phase 4: Handover

**4. Timeframe and Milestones for expected Deliverables/outputs**

The Strategic Partner will be required to deliver this work within 1-2 months from the commencement date. The anticipated commencement date will be in July 2023. The milestones will be discussed with the personnel during the selection process.

**5. Selection Criteria**

The data scientist should possess the following skills or experience:

- Programming and Tools Proficiency: The data scientist should be proficient in programming languages such as Python or R, as well as in data manipulation and analysis libraries (e.g., pandas, numpy). Knowledge of machine learning frameworks (e.g., scikit-learn, TensorFlow) and experience with data visualization tools (e.g., matplotlib, seaborn) are also desirable.

**6. Proposal Submission**

Organisations/Professionals should prepare and submit an expression of interest that addresses the selection criteria, outlining:

- Your technical approach and resources that will be applied to the deliverables, with a clear timeline., and CVs of the personnel.
- The anticipated results and benefits of your work, including proof of success with other similar projects. - Your engagement, and governance plan with Climate Bonds.
- Background information about the organisation/personnel, including related experience, services provided, geographical expertise.
- Organisations/Professionals should also provide a separate financial proposal.

**Shortlisting will take place shortly after and the personnel will be in place by the end of June 2023.


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