Blackcoffer is hiring for a Data Scientist Intern in India

Position:

• Data Scientist Intern

  • 0-3 years (college students can also apply) 

Company:

• Blackcoffer

Location:

• India

Job type:

• Full-time (after 6-month as an intern as per the performance)

Job mode:

• Remote (Work From Home)

Job requisition id:

• Not specified

Years of experience:

• 0-3 years (college students can also apply)

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Company Description

• Blackcoffer is a technology-driven enterprise software and analytics consulting company with offices in India and Malta, European Union.

• Founded by alumni from the Indian Institute of Technology (IIT), the company specializes in solving large-scale data and technology challenges for diverse industries.

• The firm focuses on big data and analytics, development of data-driven dashboards, advanced application development, and information management solutions at massive scale.

• Blackcoffer supports enterprises and entrepreneurs to reduce risks, explore new opportunities, drive innovation, and increase profitability through advanced decision science techniques.

• Their expertise spans across sectors such as Internet of Things (IoT), healthcare, finance, consultancy, government, energy, education, research, engineering, retail, supply chain, e-commerce, and telecommunications.

• They combine cutting-edge technology with human expertise to deliver deep market insights and practical solutions tailored to clients’ strategic goals.

• With a growing global presence and a client-first approach, Blackcoffer aims to be a long-term partner in helping organizations achieve measurable results in performance and competitiveness.

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Profile Overview

• The Data Scientist Intern role at Blackcoffer is designed for individuals eager to engage in advanced data science projects and analytics from day one.

• The position involves building, implementing, and optimizing models using machine learning, deep learning, NLP, GenAI, LangChain, LLMs, LLAMA, OpenAI, and GPT-based technologies.

• The role requires active involvement in managing end-to-end data workflows, from data acquisition and cleaning to modeling and visualization.

• You will work with both structured and unstructured data, ensuring data pipelines and storage solutions are well-maintained and optimized for performance.

• The position offers hands-on exposure to cutting-edge tools and technologies, including Python, BI tools like Power BI and Kibana, and cloud platforms like AWS, Azure, and GCP.

• As part of Blackcoffer’s collaborative remote environment, you will gain experience across multiple projects serving diverse industries.

• This is a paid position with a stipend of ₹10,000–₹12,000 per month during the 6-month internship period, with the potential for a full-time offer based on performance.

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Qualifications

• Strong knowledge of Python and experience with frameworks like Flask and Django.

• Familiarity with database systems, including MongoDB, Neo4j, Dgraph, and SQL.

• Understanding of API development and integration.

• Experience with Elasticsearch for search and indexing applications.

• Working knowledge of machine learning algorithms and AI concepts.

• Ability to manage data pipelines, perform ETL/ELT operations, and maintain data warehouses.

• Proficiency in data visualization using tools like Power BI, Google Data Studio, and Kibana.

• Exposure to cloud platforms such as AWS, Azure, GCP, Linode, or Heroku.

• Strong problem-solving skills and ability to work independently in a remote setup.

• Eagerness to learn and adapt to new technologies quickly.

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Additional Info

• Work Mode: 100% remote, enabling flexible working hours and zero commute time.

• Start Date: Immediate joining preferred.

• Duration: Initial 6-month internship with stipend, followed by potential full-time conversion.

• Stipend: ₹10,000–₹12,000 per month during internship.

• Industry: Information Technology & Services.

• Career Growth: Opportunities for skill enhancement through training programs, mentorship, and professional development budgets.

• Company Culture: Collaborative, supportive, and innovation-focused environment that values work-life balance.

• Performance Reviews: Regular feedback and evaluations to guide professional growth.

• Employee Tenure: Median tenure is approximately 1.8 years, reflecting long-term engagement among many employees.

• Growth: The company has seen a 21% overall growth in the last two years, with a 33% increase in engineering roles.

Please click here to apply.