Junior AI Developer

Job Description:

JD for Analyst (DCF Level 20/25 at DGS)

Job Summary

We are looking for enthusiastic and sharp-minded fresh graduates to join our data team as Analyst/ Associates/ Software Engineer. This is an entry-level role designed to offer exposure across the data value chain — from data wrangling and engineering to analytics and predictive modeling.

You’ll work closely with product, engineering, and business teams to help solve real-world problems using data. Ideal for individuals who are passionate about uncovering insights, building scalable data pipelines, and developing machine learning models to drive decision-making.

Key Responsibilities

🔍 Data Analytics

• Analyze large volumes of structured and unstructured data to extract meaningful business insights.
• Create dashboards, visualizations, and reports using tools like Power BI, Tableau, or Excel.
• Support in identifying patterns, trends, and anomalies in data to support business decisions.

🧪 Data Science

• Assist in building, testing, and deploying machine learning models under supervision.
• Work with statistical and ML techniques for classification, regression, clustering, etc.
• Collaborate on experiments, hypothesis testing, and performance evaluation of models.

🏗️ Data Engineering

• Support in designing and building data pipelines and ETL processes.
• Assist in data cleaning, transformation, and storage using SQL, Python, or cloud platforms.
• Help maintain data integrity, quality, and documentation across data systems.

Qualifications

• Education:
  Bachelor’s degree in Engineering, Computer Science, Data Science, Gen AI or related fields. Final-year students or recent graduates are welcome to apply.
• Technical Skills:
  • Strong foundation in Java, React, NodeJS, Python, SQL, and Excel
  • Basic understanding of data structures, databases, and algorithms
  • Exposure to pandas, NumPy, PySpark, scikit-learn, GenAI, Agentic AI or TensorFlow is a plus
  • Familiarity with BI tools (e.g., Power BI, Tableau) or cloud platforms (e.g., AWS, GCP) is desirable
  • Knowledge of version control (Git) is an advantage

Soft Skills

• Curiosity and a passion for data-driven problem solving
• Strong analytical and logical thinking
• Good communication and collaboration skills
• Willingness to learn in a fast-paced environment
• Ability to break down complex problems and document clearly

Preferred (Good to Have, Not Mandatory)

• Internship or academic project in data analytics, machine learning, or database systems
• Participation in hackathons, coding contests, or Kaggle competitions
• Exposure to Agile or collaborative tools like JIRA, Confluence

What You’ll Gain

• Hands-on experience across analytics, data science, and engineering tracks to solve critical Business problems.
• Opportunity to work on live projects and scalable systems
• Mentorship from experienced data professionals
• Career pathways in analytics, data science, GenAI, Agentic AI or data engineering based on your interest and skills

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