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.

Youll 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:
  Bachelors 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 Youll 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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