The Role
Intern will analyze complex datasets using machine learning, develop predictive models, and present insights for data-driven decision-making.
Summary Generated by Built In
We are looking for a talented dynamic and curios candidate to join our data team. As a Junior Data Scientist, you will leverage your analytical skills and expertise in machine learning to extract insights from complex datasets and drive data-driven decision-making across our projects. You will collaborate closely with cross-functional teams to develop predictive models, uncover actionable insights, and solve challenging business problems.
This is a
full-time internship for a duration of 3 months. Please note that this is an
unpaid internship; however, based on performance, candidates may be offered
a paid contract role upon successful completion of the internship. High
Potential for Permanent Role: Top performers will have a strong opportunity to
transition into a full-time permanent position.
Responsibilities
- Data Analysis and Exploration
- Analyze large, complex datasets to identify trends, patterns,
and relationships.
- Conduct exploratory data analysis (EDA) to gain insights and
formulate hypotheses.
- Utilize statistical methods and data visualization techniques
to communicate findings effectively.
- Predictive Modeling and Machine Learning
o Experience and knowledge in analyzing and developing forecasting models using time series data - Develop predictive models using machine learning algorithms.
- Perform feature engineering, model selection, and hyper-parameter
tuning to optimize model performance.
- Ensure that model always meet the relevant evaluation metrics.
- Data Mining and Pattern Recognition
- Apply data mining techniques to extract actionable insights
from structured and unstructured data.
- Identify patterns and anomalies in data to detect fraud,
predict customer behavior, or optimize business processes.
- Implement clustering, classification, regression, and other
machine learning algorithms as needed.
- Collaboration and Communication
- Excellent story telling and presentation skills
- Collaborate with cross-functional teams, including engineers,
product managers, and business stakeholders.
- Translate technical findings into actionable insights and
recommendations for non-technical audiences.
- Present findings and proposals in clear, concise, and
compelling ways.
Requirements
• Diploma in Computer Science/Electronics or bachelor’s in computer science/Statistics
• 0 to 1 years of with knowledge in data science, machine learning, generative AI
• Candidates who completed certified courses in data science/AI is preferred
• Passionate Learner, with curiosity to explore and find insights from large datasets
• Strong understanding of statistical analysis, hypothesis testing, and experimental design.
• Experience with machine learning libraries and frameworks (e.g., TensorFlow, scikit-learn, PyTorch, etc.).
• Familiarity with data visualization tools and techniques (e.g., Matplotlib etc.).
• Excellent problem-solving and analytical skills with attention to detail.
• Effective communication and collaboration abilities in a team environment.
Benefits
- Opportunities for high-speed professional growth and
development.
- Collaborative and supportive work environment.
- Training (Technical & Soft skills)
Skills Required
- Diploma in Computer Science/Electronics or bachelor's in computer science/Statistics
- Knowledge in data science, machine learning, generative AI (0 to 1 years of experience)
- Strong understanding of statistical analysis, hypothesis testing, and experimental design
- Experience with machine learning libraries and frameworks (e.g., TensorFlow, scikit-learn, PyTorch)
- Familiarity with data visualization tools and techniques (e.g., Matplotlib)
- Effective communication and collaboration abilities in a team environment
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The Company
What We Do
Blue Ripples Technologies is a specialized software services company focused on the energy sector, providing data intelligence, protocol integration, analytics, and IoT solutions for power generation, transmission, and distribution.









