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Title • Dentsu Junior AI Developer (Data Analytics, Data Science & GenAI) | Bangalore & Pune Company Name • Dentsu (Merkle) Location • Bengaluru, Karnataka, India • Pune, Maharashtra, India Job Type • Full Time • Consultant Job Category • Artificial Intelligence • Data Science • Data Engineering • Data Analytics Application Deadline • 20 June 2026 Experience Required • Freshers • Final-Year Students • Recent Graduates Eligibility • Bachelor's Degree in Engineering • Computer Science • Data Science • Generative AI • Related Technical Discipline • Final-Year Students Eligible • Recent Graduates Eligible Required Skills • Java • React • Node.js • Python • SQL • Microsoft Excel • Data Structures • Algorithms • Data Analytics • Data Engineering • Problem Solving • Analytical Thinking • Communication Skills • Team Collaboration • Data Visualization Preferred Skills • Pandas • NumPy • PySpark • Scikit-Learn • TensorFlow • Generative AI • Agentic AI • Machine Learning • Power BI • Tableau • AWS • Google Cloud Platform (GCP) • Git • ETL Development • JIRA • Confluence • Statistical Analysis • Cloud Computing Job Description • Dentsu is hiring Junior AI Developers to work across data analytics, data science, data engineering, and AI-driven business solutions. • The role provides exposure to the complete data lifecycle, including data processing, analytics, machine learning, and scalable data platform development. • Selected candidates will collaborate with engineering, product, and business teams to solve real-world problems using modern data technologies and AI techniques. • This opportunity is ideal for candidates interested in building careers in Data Science, Generative AI, Agentic AI, Analytics, and Data Engineering. • Team members will gain hands-on experience working on live business projects and enterprise-scale systems. Roles and Responsibilities • Analyze structured and unstructured datasets to generate business insights. • Create dashboards, reports, and visualizations using business intelligence tools. • Identify trends, patterns, and anomalies to support decision-making. • Assist in developing, testing, and deploying machine learning models. • Support experimentation, model evaluation, and performance analysis activities. • Build and maintain data pipelines and ETL workflows. • Perform data cleaning, transformation, and validation activities. • Support data storage, management, and quality assurance processes. • Collaborate with product, engineering, and business teams on analytics initiatives. • Contribute to AI, Generative AI, and Agentic AI projects. • Maintain technical documentation and project deliverables. • Participate in problem-solving and continuous improvement initiatives. About Company • Dentsu is a global marketing, technology, and digital transformation company operating across numerous international markets. • Through its brands and technology divisions, the organization helps businesses accelerate growth using data, analytics, customer experience, and digital innovation. • Merkle, a part of Dentsu, specializes in data-driven customer experience management, analytics, technology solutions, and performance marketing. • The company focuses on innovation, collaboration, sustainability, and technology-driven business transformation. • Employees gain opportunities to work on advanced analytics, AI technologies, cloud platforms, and enterprise-scale digital solutions. Additional Information • Job Requisition ID: R1125418 • Brand: Merkle • Employment Type: Consultant • Industry Domain: Digital Transformation & Data Technology • Suitable For: Data Analysts, Data Engineers, AI Developers, Machine Learning Enthusiasts, GenAI Aspirants • Exposure Areas: Data Analytics, Data Science, Data Engineering, Machine Learning, Generative AI, Agentic AI • Tools & Platforms: Python, SQL, Tableau, Power BI, AWS, GCP, Git • Work Locations: Bengaluru & Pune • Career Growth Paths: Analytics, Data Science, Data Engineering, Generative AI, Agentic AI, Machine Learning Engineering • Mentorship and Hands-On Project Experience Included
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