Data Science Intern

1 day ago


Thiruvananthapuram Kerala, India Agileinfo Techytern Solutions LLP Full time

Data Science and AI Developer

We are seeking a highly skilled and motivated Data Science and AI Developer to join our dynamic team. As a Data Science and AI Developer, you will be responsible for leveraging cutting-edge technologies to develop innovative solutions that drive business insights and enhance decision-making processes.

**No salary will be provided during the 3-month probation period.**

**Key Responsibilities**:
1. Develop and deploy machine learning models for predictive analytics, classification, clustering, and anomaly detection.

2. Design and implement algorithms for data mining, pattern recognition, and natural language processing.

3. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.

4. Utilize advanced statistical techniques to analyze complex datasets and extract actionable insights.

5. Implement scalable data pipelines for data ingestion, preprocessing, feature engineering, and model training.

6. Stay updated with the latest advancements in data science, machine learning, and artificial intelligence research.

7. Optimize model performance and scalability through experimentation and iteration.

8. Communicate findings and results to stakeholders through reports, presentations, and visualizations.

9. Ensure compliance with data privacy regulations and best practices in data handling and security.

10. Mentor junior team members and provide technical guidance and support.

**Requirements**:
1. Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field.

2. Proven experience in developing and deploying machine learning models in production environments.

3. Proficiency in programming languages such as Python, R, or Scala, with strong software engineering skills.

4. Hands-on experience with machine learning libraries/frameworks such as TensorFlow, PyTorch, Scikit-learn, or Spark MLlib.

5. Solid understanding of data structures, algorithms, and computer science fundamentals.

6. Excellent problem-solving skills and the ability to think creatively to overcome challenges.

7. Strong communication and interpersonal skills, with the ability to work effectively in a collaborative team environment.

8. Certification in Data Science, Machine Learning, or Artificial Intelligence (e.g., Coursera, edX, Udacity, etc.).

9. Experience with cloud platforms such as AWS, Azure, or Google Cloud is a plus.

10. Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka) is an advantage.

Data Manipulation and Analysis : NumPy, Pandas

Data Visualization : Matplotlib, Seaborn, Power BI

Machine Learning Libraries : Scikit-learn, TensorFlow, Keras

Statistical Analysis : SciPy

Web Scrapping : Scrapy

IDE : PyCharm, Google Colab

HTML/CSS/JavaScript/React JS Proficiency in these core web development technologies is a must.

Python Django Expertise: In-depth knowledge of e-commerce functionalities or deep Python Django knowledge.

Theming: Proven experience in designing and implementing custom themes for Python websites.

Responsive Design: Strong understanding of responsive design principles and the ability to create visually appealing and user-friendly interfaces for various devices.

Problem Solving: Excellent problem-solving skills with the ability to troubleshoot and resolve issues independently.

Collaboration: Ability to work closely with cross-functional teams, including marketing and design, to bring creative visions to life.
- **interns must know about how to connect front end with datascience**_

Also must Know to connect datascience to frontend

**Benefits**:

- Competitive salary package
- Flexible working hours
- Opportunities for career growth and professional development
- Dynamic and innovative work environment

Pay: ₹8,000.00 - ₹12,000.00 per month

Schedule:

- Day shift

Ability to commute/relocate:

- Thiruvananthapuram, Kerala: Reliably commute or planning to relocate before starting work (preferred)

Work Location: In person


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