Intern: Data Science (Summer 2024)

Key Skills

Analytical and Problem solving, Effective communication skills, NumPy, Pandas, Python Programming, R Programming, Scikit-learn, SQL

Job Description

Who We Are

Nithio is an AI-driven platform for climate finance. Nithio leverages the power of artificial intelligence to fundamentally transform how credit risk is assessed. Our mission is clear: to catalyze billions of capital into solutions that combat climate change and facilitate universal access to clean energy.

Through our investment vehicle, FAIR (Facility for Adaptation, Inclusion, and Resilience), we directly lend capital in the decentralized energy sector, empowering companies to provide households with clean and reliable energy sources. We work hand in hand with other investors, providing them with the insights and tools needed to scale their investments effectively, all while navigating the complex credit risk landscape.

We’re looking for team members who value the opportunity to work with a fun, passionate, talented international team. Join us in our mission to reshape the future. Together, we can create a world where clean energy is accessible to all and where our planet thrives for generations to come.

Role Summary

Nithio seeks a Data Science Intern to support our global team in driving innovation and progress in climate finance and energy access. As a Data Science Intern, you will have a strong quantitative background, experience with Python, and an entrepreneurial, inventive, experiment-driven mindset. Preference will be given to applicants with experience in geospatial analysis and relevant sector expertise (energy, credit assessments, etc.). You’ll be joining a growing, mission-driven company with a solid commitment to positive social impact.

The Data Science Intern will report to our Data Scientist (in GMT+2 time zone & the candidate will need to be able to be online & able to collaborate in this time zone). This internposition can be based remotely from Kenya, Nigeria, or Uganda. This will be a part-time commitment: 20-30 hours per week.

Primary Responsibilities

• Support the data team in designing, training, testing, and implementing algorithmic models core to Nithio’s products and services.
• Contribute to project and product success: Collaborate across the team to provide successful data science solutions for Nithio’s clients, including understanding business requirements and executing project deliverables.
• Make data science accessible: Clearly document new processes/tasks and support other team members in understanding and adopting resulting workflows and outputs.
• Measure, learn, repeat: Track KPIs for machine learning models and products and identify approaches to improve performance, mitigate risks, and align on business goals.
• Effectively communicate complexity: Synthesize, visualize, and communicate results effectively to stakeholders through dashboards, plots, presentations, and reports.

Who You Are

• A self-starter who is passionate about creating lasting change in developing markets
• Have demonstrated interest or previous experience working in Africa or emerging marketsHave a track record of outstanding focus, energy, and drive to achieve outsized results
• Are highly entrepreneurial and self-motivated; an expert at managing your own time
• Possess superior problem-solving, judgment, and decision-making skills with the ability to articulate and present points of view and ideas effectively
• You have a track record of successfully prioritizing multiple competing priorities with strong attention to detail
• You can advance discrete projects both independently and as part of a small team
• Possess strong interpersonal skills and can work effectively on a distributed, global team
• Exemplify Nithio’s values: Collaboration, Commitment, Growth, Marking a Difference and Adaptability

Qualifications

• Currently enrolled in or recently completed a Master’s program in a related field. Experience with Python (numpy, pandas, scikit-learn, etc.) and SQL; additional experience with R is a plus.
• Experience or exposure to applied quantitative methods and/or programming;
• Training and experience with applied statistics and quantitative modeling (e.g., regression, survival analysis, segmentation, experimentation, and machine learning).Familiarity with version control and software engineering fundamentals.
• Outstanding communication and writing skills, with the ability to translate complex and technical concepts to non-technical audiences.
• Excitement about owning projects and thinking in creative ways
• Proactive, as the team is geographically dispersed
• Highly entrepreneurial and self-motivatedDemonstrated problem-solving skills, judgment, and decision-making skills with the ability to articulate and present points of view and ideas effectively
• Experience prioritizing multiple competing priorities with strong attention to detail and advancing discrete projects both independently and as part of a small team

$20 - $22 an hour

For US-based candidates: