messy data building models and turning ideas into impact
.
In-office internship (Noida)
Work directly with the core team
Real ownership from day one
PPO opportunity
- Clean preprocess and analyze messy and unstructured data sets to ensure accuracy and usability
- Develop train and validate predictive models using industry-standard tools and techniques
- Collaborate closely with the core team to define project objectives scope and success metrics
- Translate business requirements and creative ideas into scalable technical solutions with measurable impact
- Document data pipelines model architectures and analytical findings for reproducibility and knowledge sharing
- Present insights and model performance to stakeholders using clear data-driven narratives
- Participate in code reviews brainstorming sessions and agile workflows to drive continuous improvement
- Stay updated on emerging trends in data science machine learning and data engineering
Requirements
- Pursuing a degree in Computer Science Data Science Statistics Mathematics or a related field
- Proficiency in Python SQL or R for data manipulation analysis and automation
- Basic understanding of machine learning concepts including regression classification and model evaluation metrics
- Experience with data visualization tools such as Matplotlib Seaborn or Tableau is a plus
- Strong problem-solving skills analytical mindset and attention to detail
- Ability to work independently and collaboratively in a fast-paced dynamic environment
- Availability for in-office work in Noida for the duration of the internship
Required Skills:
Qualification: Bachelors Masters Degree Experience: Freshers/ Experienced Bachelors or Masters Degree in a relevant field Open to freshers as well as experienced professionals Strong communication and interpersonal skills Ability to adapt to changing priorities and work in a team-oriented environment Proficiency in standard office software and tools
messy data building models and turning ideas into impact. In-office internship (Noida) Work directly with the core team Real ownership from day one PPO opportunityClean preprocess and analyze messy and unstructured data sets to ensure accuracy and usabilityDevelop train and validate predictive model...
messy data building models and turning ideas into impact
.
In-office internship (Noida)
Work directly with the core team
Real ownership from day one
PPO opportunity
- Clean preprocess and analyze messy and unstructured data sets to ensure accuracy and usability
- Develop train and validate predictive models using industry-standard tools and techniques
- Collaborate closely with the core team to define project objectives scope and success metrics
- Translate business requirements and creative ideas into scalable technical solutions with measurable impact
- Document data pipelines model architectures and analytical findings for reproducibility and knowledge sharing
- Present insights and model performance to stakeholders using clear data-driven narratives
- Participate in code reviews brainstorming sessions and agile workflows to drive continuous improvement
- Stay updated on emerging trends in data science machine learning and data engineering
Requirements
- Pursuing a degree in Computer Science Data Science Statistics Mathematics or a related field
- Proficiency in Python SQL or R for data manipulation analysis and automation
- Basic understanding of machine learning concepts including regression classification and model evaluation metrics
- Experience with data visualization tools such as Matplotlib Seaborn or Tableau is a plus
- Strong problem-solving skills analytical mindset and attention to detail
- Ability to work independently and collaboratively in a fast-paced dynamic environment
- Availability for in-office work in Noida for the duration of the internship
Required Skills:
Qualification: Bachelors Masters Degree Experience: Freshers/ Experienced Bachelors or Masters Degree in a relevant field Open to freshers as well as experienced professionals Strong communication and interpersonal skills Ability to adapt to changing priorities and work in a team-oriented environment Proficiency in standard office software and tools
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