Data Scientist - Numpy Pandas

As the member Data Science, this is your opportunity to be part of a next-gen data science team. As a Junior Data Scientist, youll work across business analytics, data engineering, and advanced modelling projects.

You will gain hands-on experience in building clean data pipelines, generating user-level insights, and contributing to models that decode complex consumer behaviour. If youre eager to grow at the intersection of data engineering, analytics, and AI, this role is your launchpad.

You will influence strategic decisions, pioneer ground breaking technologies, and deliver insights that empower businesses across industries. If you are a visionary who thrives on solving complex challenges and driving transformative change, this role is your canvas to create, inspire, and lead.

What Youll Do

Learn, Build, and Apply :

• Support the development of VTIONs behavioral data models through cleaning, transformation, and feature engineering.
• Assist in the construction and automation of data pipelines with engineering teams.
• Engage in business analytics projects translating behavioral data into marketing and user insights
  
  

• Deliver exploratory analyses, cohort insights, and trend reports to support strategic decisions.
• Contribute to real-time dashboards and visualizations for internal and client use (Power BI, Tableau, Plotly).
  
  

• Work on classification, clustering, and segmentation models using Python (Scikit-learn, pandas, NumPy).
  
  

• Partner with data scientists, engineers, and product teams to deliver scalable solutions.
• Participate in sprint reviews, brainstorms, and post-analysis reviews to drive learning and iteration.
• Continuously explore new tools, methods, and technologies to elevate your own practice.
  
  

• Python (pandas, NumPy, scikit-learn, matplotlib)
• SQL for data querying
• Exposure to cloud platforms (AWS, GCP preferred)
• Bonus : Familiarity with Git, Airflow, dbt, or vector databases
  
  

• Ability to interpret business problems into data questions
• Understanding of basic statistics, experiment design, and metrics interpretation
  
  

• Eagerness to learn in a dynamic, fast-paced environment
• Strong communication skills and a collaborative spirit
  
  

• Contribute to real-time, high-impact data applications
• Be mentored by senior leaders in AI, LLMs, and semantic intelligence
• Build a career path that spans across analytics, engineering, and research
• Thrive in a culture that values creativity, continuous learning, and ownership