Position:
• Data Scientist Associate Intern
• Entry level data science role focused on applied analytics and engineering
• Internship leading to potential full time employment based on performance
• Role designed for freshers and early career candidates
• Hands on exposure to real world industry data problems
• Opportunity to work across multiple data science and AI domains
• Emphasis on learning by doing through live projects
• Role aligned with modern data driven product and consulting needs
Company:
• Blackcoffer
• Enterprise software and analytics consulting organization
• Operates across India and the European Union
• Founded by alumni from premier technical institutions
• Focused on advanced analytics and decision science
• Works with global and regional clients across sectors
• Known for big data and intelligence driven solutions
• Strong orientation toward innovation and applied research
Location:
• India
• Remote work arrangement
• Work from home opportunity
• Open to candidates across different regions
• No relocation required
• Fully distributed work environment
Job type:
• Internship
• Probation based engagement
• Performance driven continuation
• Structured six month duration
• Stipend based compensation
• Learning oriented professional role
Job mode:
• Remote
• Virtual collaboration with internal teams
• Online project execution
• Cloud based development and analytics work
Job requisition id:
• Not officially specified
• Internal hiring reference managed by Blackcoffer
• Linked to Data Scientist Associate Internship intake
Years of experience:
• Freshers encouraged to apply
• Entry level candidates preferred
• Suitable for zero to three years experience
• Academic projects considered as valid exposure
• Strong focus on skills and learning mindset
Company description:
• Blackcoffer is a technology driven analytics and enterprise consulting firm with operations spanning India and Europe
• The organization is built around the belief that data driven decisions are central to sustainable growth and innovation
• Founded by professionals with strong academic and technical backgrounds, the company brings deep expertise in analytics, engineering, and applied data science
• Blackcoffer works closely with enterprises, startups, and public sector organizations to help them unlock value from data
• The firm specializes in large scale data processing, analytics platforms, intelligence systems, and advanced dashboards
• Its services extend across data engineering, analytics consulting, application development, and information management
• Blackcoffer supports organizations in reducing uncertainty, identifying growth opportunities, and improving operational outcomes
• The company emphasizes practical implementation over theoretical models, ensuring that solutions are usable and scalable
• With a young and globally oriented team, Blackcoffer fosters a culture of learning, experimentation, and collaboration
• The organization serves clients across diverse domains including healthcare, finance, government, education, retail, and telecommunications
• Blackcoffer leverages modern cloud platforms and open source technologies to deliver cost effective and high impact solutions
• Its consulting approach blends technical depth with business understanding to address real world challenges
• The company is known for working on complex data environments involving structured and unstructured data
• Blackcoffer continues to expand its footprint by building long term partnerships with clients and collaborators
• The firm invests heavily in skill development, innovation, and applied research to stay ahead of industry trends
Profile overview:
• This role is designed for individuals who are passionate about data science and analytics
• The Data Scientist Associate Intern will work on live projects involving real business data
• The profile offers exposure to end to end data workflows from data collection to model deployment
• Interns will collaborate with experienced professionals across analytics and engineering teams
• The role involves working on data science, artificial intelligence, and machine learning use cases
• Candidates will gain hands on experience with modern tools, frameworks, and platforms
• The position emphasizes applied learning through practical implementation
• Interns will contribute to building data driven solutions used by clients and internal teams
• The role provides exposure to technologies such as NLP, deep learning, and generative AI
• Interns will work with structured, semi structured, and unstructured data sources
• The profile is suitable for candidates seeking strong foundational experience in data science
• The role encourages experimentation, curiosity, and continuous improvement
• Interns will learn to translate business problems into data science solutions
• The position involves both analytical thinking and technical execution
• Successful interns may be offered a full time role based on performance and organizational needs
Qualifications:
• Basic to intermediate knowledge of Python programming
• Familiarity with data analysis libraries and frameworks
• Understanding of machine learning fundamentals
• Exposure to artificial intelligence concepts
• Awareness of data preprocessing and cleaning techniques
• Basic understanding of databases and query languages
• Familiarity with web frameworks such as Flask or Django is helpful
• Understanding of APIs and backend concepts is beneficial
• Interest in big data and analytics applications
• Willingness to learn new tools and technologies
• Ability to work independently in a remote environment
• Strong problem solving and analytical thinking skills
• Good communication skills for remote collaboration
• Academic background in engineering, computer science, statistics, or related fields
• Projects or coursework related to data science are considered an advantage
Additional info:
• Internship duration is six months
• Work from home arrangement throughout the internship
• Stipend ranges between ten thousand and twelve thousand INR per month
• Start date is immediate based on selection
• Performance during internship determines conversion to full time role
• Exposure to multiple cloud platforms including GCP, AWS, and Azure
• Opportunity to work with databases such as MongoDB and SQL based systems
• Hands on experience with data visualization tools
• Learning exposure to ETL and data pipeline management
• Mentorship from experienced professionals
• Real client facing project experience
• Flexible working environment with focus on outcomes
• Strong emphasis on practical skill building
• Suitable for students and recent graduates
• Opportunity to build a strong data science portfolio
Please click here to apply.
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