Logo

ARMMAN, Senior Data Scientist - Data Analytics

scheme image

About the portfolio organization

Founded in 2008, ARMMAN’s mission is to enable healthy pregnancy, safe delivery and safe childhood for women and children in India. ARMMAN leverages mHealth to create cost-effective and scalable systemic solutions to improve access of pregnant women and mothers to preventive information and services and train health workers to reduce maternal and child mortality and morbidity. Our programs have reached over 60M women and over 400k health workers across 27 states to date. 

About the Fellowship role

We are seeking an experienced Senior Data Scientist to drive our data analytics initiatives. The ideal candidate will have 10-15 years of experience in data engineering, analytics, and visualization and a strong background in AI/ML and Big Data technologies.  

Fellowship location: New Delhi, India 
Employment: Full-time, one-year Fellowship 
Starting Date: July 2025 
 

Key responsibilities

  • Assess the effectiveness and accuracy of data sources and data gathering techniques.  
  • Undertake preprocessing of structured and unstructured data.  
  • Analyse large datasets to identify trends and patterns.  
  • Develop and implement custom data models and algorithms to drive insights.  
  • Create data visualizations using tools like Tableau and Power BI.  
  • Develop processes and tools to monitor model performance and data accuracy.  
  • Design and implement data architectures and models for handling large-scale datasets (terabytes).  
  • Collaborate with cross-functional teams to leverage data for business solutions.  
  • Generate business requirements based on data analysis for process improvements.

Requirements

Experience and education:
 
1. Educational Qualifications & Work Experience  
  • BE/B.Tech in Computer Science, Information Technology, or a related field.  
  • Alternatively, MCA or M.Tech in relevant fields.  
  • 10-15 years of experience in data engineering, analytics, and visualization and a strong background in AI/ML and Big Data technologies.  
2. Technical Skills & Experience  
  • Proven experience as a Data Scientist with expertise in data engineering, business analytics, data visualization, AI/ML.  
  • Strong hands-on experience with SQL and Python for data manipulation and analysis.  
  • Experience working with Big Data technologies and handling large datasets (terabytes).  
  • Proficiency in business intelligence tools such as Tableau, Power BI, and BigQuery.  
  • Familiarity with data frameworks (e.g., Hadoop, Spark) and cloud platforms like AWS (Redshift, S3).  
  • Understanding of machine learning models, generative AI, and operations research.  
  • Experience designing and implementing data architectures and data models.  
  • Knowledge of SQL databases (MySQL) and NoSQL databases (Cassandra).  
3. Soft Skills  
  • Strong analytical mindset and business acumen.  
  • Excellent written and verbal communication skills for cross-functional collaboration.  
  • Problem-solving aptitude and ability to work in a fast-paced environment.  

Must Haves:
  • Hands-on experience analysing large databases (terabytes).  
  • Strong proficiency in data visualization tools like Tableau, Power BI, and Big Query.  
  • Basic knowledge of AI/ML models and Generative AI.  
  • Fluency in English (both written and verbal) for effective communication and collaboration.  
  • Indian work permit or authorisation to work in India is required.  

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").