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Educate Girls, Data Science Engineer (Manager)

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About the portfolio organization

Educate Girls is on a mission to change the future for millions of adolescent girls and young women in rural India. Established in 2007, Educate Girls is a non-profit organization dedicated to mobilizing communities for girls’ education in India’s rural and educationally backward areas. Strongly aligned with the ‘Right to Education Act’ (RTE), ‘Samagra Shiksha,’ and the National Education Policy 2020, Educate Girls is committed to advancing the government’s vision of improving access to education for girls.   

In partnership with state governments and powered by thousands of community-based gender champions, Educate Girls has developed a holistic, community-driven program. This initiative identifies out-of-school girls aged 6-14, enrols and retains them in school, and enhances foundational literacy and numeracy skills for all children. Additionally, Educate Girls offers a second-chance program for adolescent girls and young women aged 15-29, providing life skills, agency, and educational credentials through open schools (Grades 10 and 12). Educate Girls currently operates in over 29,000 villages across Rajasthan, Madhya Pradesh, Uttar Pradesh, and Bihar, in collaboration with the government. To date, we have mobilized over 1.8 million girls for school enrolment and supported over 2.2 million children with remedial learning.   

By 2035, our vision is to empower 10 million learners through education, bridging the gap between schooling and life opportunities. By linking education directly to skilling and jobs, Educate Girls is equipping these young women to contribute meaningfully to the economy and to have a voice and agency in their futures.   

About the Fellowship role

Educate Girls (EG) is seeking a passionate and skilled Data Science Engineering Fellow to assist in its data science and engineering initiatives, driving greater impact through data and technology. Reporting to the Head of Impact, the Fellow will play a pivotal role in enhancing EG’s predictive analytics capabilities, enabling rapid course corrections in program delivery through advanced modelling and automation. The Fellow will be responsible for efficiently managing and mining primary and secondary data sources to ensure timely, accurate, and error-free reporting for stakeholders. Additionally, they will help foster a culture of data-driven decision-making within the organization, strengthening EG’s ability to maximize resources and outcomes.  
 
Fellowship location: Mumbai, India (Head Office) 
Employment: Full-time, one-year Fellowship 
Starting Date: Anytime between April & July 2025 
 

Key responsibilities

1. Data Modelling & Analysis  
  • Interpret data and analyse results and trends, using statistical techniques where appropriate.  
  • Develop comprehensive dashboards to monitor performance & quality of program delivery.  
  • Leverage predictive modelling to optimize targeting, improve program delivery, increase the pace of course correction, and more.  
  • Capture operational requirements, formulate the ML questions and liaise with IT vendor to implement the ML models.  
  • Prototype ideas, research and develop custom data/ML models and algorithms as required; test model quality through A/B testing.  
2. Data Engineering  
  • Build efficient and well documented methods for easy, repeatable extraction, cleaning and validation of data from primary and secondary data sources.  
  • Build automated data pipelines & add data sources as required.  
  • Automate manual processes; build the infrastructure necessary for optimal extraction, transformation, and loading of data (from a variety of sources leveraging Azure/AWS/ Python/SQL technologies)  
  • Optimize data delivery and data management practices of EG.  
3. People Management  
Based on the experience the Fellow could also :
  • Lead the data science and engineering team.  
  • Strive for excellence in performance of both self and team.  
  • Prepare questionnaire/assessment and conduct interviews to hire consultants and/or employees in data related roles for the Quality Assurance & MIS team or other teams.  

Requirements

Experience and education:
  • Minimum is a Bachelor’s Degree in a relevant data science field or a related field of study. A Master’s Degree in Science/Engineering/Management is desirable.  
  • Minimum 5 years of relevant work experience data analytics/data visualization/ data management.
  • Minimum 3-5 Years of SQL experience and demonstrated ability to design and analyse data in relational databases. Experience with PostgreSQL desirable.   
  • Minimum 3-5 years’ experience in data manipulation/cleaning using Python.
  • Experience in Pandas and machine learning using Python is desirable.  
  • Experience in designing and developing dashboards.  
 Soft skills:  
  • Excellent communication skills   
  • Critical & analytical thinking  
  • Target driven  
  • Interpersonal skills  
 Technical skills:  
  • Intermediate to advanced skills in SQL.  
  • Basic to intermediate skills in Python and Linux.  
  • Demonstrated experience in dashboard design & development.  
  • Demonstrated analytical and assessment skills of quantitative and qualitative data.  
  • Strong skills in data modelling and analysis.  
  • Experience of machine learning.  
  • Knowledge of statistical analysis software (such as Stata, SPSS) would be a bonus.  
  • Experience in version control using github.  
  • Proficient in Linux.  
  • Good to have experience in AWS EC2, S3, Lambda, API Gateway etc.  

Must Haves:
  • Permit to Work in India  
  • Must be fine working 5 days a week from our Mumbai Office
  • Willingness to travel 25% of time to the state / district / village level geographies in India to understand the program  
  • Language Proficiency: English & Hindi (preferable)  
  • Strong understanding of Power BI/ Google studio/ similar data analytics tools   

About the LGT Impact Fellowship

As part of LGT Venture Philanthropy's and Lightrock's strategic efforts to scale positive impact, the LGT Impact Fellowship was established to provide additional know-how and capacity to portfolio organisations and companies. Each year a limited number of professionals are nominated to work full-time for one year with the organisations and companies supported by LGT Venture Philanthropy and Lightrock in Africa, India and Latin America as per the above job description.
LGT Impact Fellows are part of an enriching cohort of like-minded Fellows. They benefit from various program activities, including a 1-week in-person kick-off workshop, webinars, access to the network and know-how of LGT Venture Philanthropy, etc.

How to apply

Submit your application via the "Apply" button. Please note that we only accept online applications and that multiple applications are not allowed. However, you are invited to mention additional preferences in your application.
Moreover, please make sure to read all information in the application form carefully and answer the questions accordingly (additional information about the questions are marked with "i").