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 Responsibilities

1. 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.

Skills

Data Science, Python, SQL, Machine Learning, Power BI, Tableau, Predictive Analytics, Predictive Modeling, Data Scientist, Data Management, Data Analytics