Junior Data Scientist
NielsenIQ View all jobs
- Mumbai, Maharashtra
- Permanent
- Full-time
- Using LLMs to allow users to interact with internal business systems
- Understanding and classifying Product Images
- Structuring and extracting insights from text data
- Inferring product attributes
- Detecting anomalies
- Matching products across catalogs.
- Maintain and optimize existing models to improve performance and maximize business impact
- Collaborate cross-functionally with other teams to create prompts and validatory datasets to support Machine Learning needs
- Continuously grow your technical expertise, staying up to date with the latest tools, frameworks, and best practices in data science
- Document model development workflows to ensure reproducibility and transparency Communicate complex technical concepts clearly and effectively to non-technical stakeholders throughout the development lifecycle
- Proficiency in Python and its data science ecosystem (e.g., NumPy, pandas, matplotlib, seaborn, scikit-learn, TensorFlow and/or Keras)
- A Bachelorʼs degree of equivalent education and 2-3 years of experience in relevant fields/ability to display understand of Data Science concepts Understand of using LLM for multiple tasks, including Image classification, question answer and tool use
- Strong coding practices, including writing clean, well-documented, and maintainable code Experience with version control systems, such as Git Understanding of relational databases and SQL
- Excellent communication skills in English, both written and verbal Proven ability to collaborate and present to stakeholders with varying levels of technical expertise
- Nice to Have Experience with Azure ML Workspace or other cloud-based ML platforms Experience with LLM tools such as PromptFlow, Microsoft Agent Framework, LangChain, LangGraph
- Familiarity with spaCy and Hugging Face Transformers Experience working with architects, test engineers, platform engineers, and other data scientists in a collaborative environment
- Flexible working environment
- Volunteer time off
- LinkedIn Learning
- Employee-Assistance-Program (EAP)