▷ Urgent: Data Science Intern

1 week ago


Hyderabad India BeamX TechLabs Full time

Job Description Please read the job details before applying. Job Code: BTL-2507105 Job title: Data Science Intern Experience: Fresher Location: Hyderabad (Work From Office) Duration: 6 Months Stipend: The first 3 months will be an unpaid internship, followed by 3 months of paid internship. Website: https://beamx.co/ LinkedIn Page: https://www.linkedin.com/company/beamxtl/ Responsibilities: - Assist in the development and implementation of data-driven solutions to complex business problems. - Conduct data analysis and modelling to identify trends, patterns, and insights. - Clean, prepare, and process large datasets for analysis. - Collaborate with cross-functional teams to identify and optimise business opportunities. - Develop and maintain data pipelines and tools for efficient data ingestion, processing, and visualisation. - Present findings and recommendations to key stakeholders in a clear and concise manner. - Stay informed on the latest trends and advancements in the field of data science. Requirements: - Should be familiar with NLP, generative AI, LLMs, and RAG (preferable). - Strong analytical thinking and problem-solving skills. - Strong Knowledge of Statistics. - Proficiency in programming languages such as Python and R. - Knowledge of Pandas, Scikit-learn, TensorFlow, and PyTorch. - Experience with data preprocessing, cleansing, and validation techniques. - Familiarity with data visualisation tools and libraries. - Strong written and verbal communication skills. - Ability to work independently and collaboratively in a fast-paced environment. - Attention to detail and ability to handle multiple projects simultaneously. Education: - Currently pursuing or have completed a bachelor's or master's degree in data science, computer science, statistics, or a related field. Benefits - Opportunity to learn from experienced professionals. - Exposure to real-world projects. - Potential for full-time employment after successful completion of the internship.


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