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

Location:

DGS India - Bengaluru - Manyata N1 Block

Brand:

Merkle

Time Type:

Full time

Contract Type:

Consultant