Data Scientist/Data Analyst

Data Scientist / Data Analyst

Location: Bangalore

Type: Full-Time

Experience: 2 - 8 Years

About Us

We are looking for a dynamic Data Scientist / Data Analyst to transform raw data into actionable insights that influence political strategies and decision-making.

Key Responsibilities1. Data Analysis & Reporting:

• Analyse voter demographics, election results, polling, social media, and public sentiment data.

• Conduct pre-poll and post-poll analysis to identify actionable insights.

• Build dashboards, visualisations, and reports for clients and internal stakeholders.

2. Predictive Modelling & Machine Learning:

• Build predictive models for election outcomes, voter behaviour, sentiment trends, and campaign impact.

• Apply ML techniques such as forecasting, clustering, segmentation, and recommendation systems.

• Develop data-driven solutions for targeted campaign strategies.

3. Statistical Analysis & Insights:

• Apply statistical methods to identify voting patterns, demographic trends, and campaign impact.

• Conduct A/B testing and other analytical methods to evaluate and optimise campaign strategies.

4. Collaboration & Stakeholder Management:

• Work closely with political analysts, campaign managers, and technology teams to translate data into strategic insights.

• Present complex analytical findings in a clear, concise, and actionable manner to non-technical stakeholders.

5. Data Strategy & Innovation:

• Identify and integrate new data sources to strengthen analytical capabilities.

• Explore and implement emerging data science, AI, and GenAI technologies to solve business and campaign problems.

• Stay updated with the latest tools, technologies, and analytical methodologies.

Required Skills

• Strong analytical aptitude with knowledge of statistics, mathematical modelling, pattern recognition, and problem-solving.

• Proficiency in Python, SQL, Excel, and Power BI/ Tableau.

• Understanding of machine learning, predictive modelling, forecasting, and clustering.

• Exposure to Hadoop, Spark, or similar big-data technologies.

• Experience with NLP libraries such as NLTK, spaCy, or Hugging Face.

• Strong communication, collaboration, and stakeholder-management skills.

Preferred Qualifications

• Experience building end-to-end, small-scale GenAI projects.

• Exposure to tools/frameworks such as LangGraph, OpenAI, Hugging Face, Ollama, Sloth, bitsandbytes, etc.

• Experience with backend frameworks such as FastAPI, Uvicorn, or similar.

• Exposure to frontend frameworks such as Flask, Django, React, or similar.