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Data Scientist Intern

Creanovation Technologies Pvt Ltd
June 4, 2024 12 Freshers Preferred by Company
BE, B.Tech, B.Sc, M.Sc Bangalore
Full Time Python Communication Skills Power Bi Numpy Pandas Sql machine learning Data Analysis Data Science Artificial Intelligence
Job description

Description

 

Position: Data Scientist Intern

Location: Bangalore

Duration: 6 months


 

Key Responsibilities:

 

1. Data Analysis & Modelling: Analyse large and complex data sets to derive valuable insights. Implement and validate predictive models; create and maintain statistical models with a focus on big data.

 

2. Natural Language Processing and Prompt Engineering: Work on text analytics and NLP tasks, such as sentiment analysis, topic modelling, named entity recognition, Prompt Engineering with LLM models like Chatgpt, Code Llma etc. to generate actionable insights from textual data.

 

3. Programming: Write efficient, robust, and reusable code in Python for data processing, analysis, and modelling tasks.

 

4. Collaboration: Work closely with product managers, domain experts, and other data scientists to understand requirements, frame problems, and develop solutions.

 

5. Reporting: Present findings in a clear and easily understandable format for various stakeholders.

 

6. Continuous Learning: Stay updated with the latest techniques in machine learning, NLP, and data analytics.



 

Minimum Qualifications:


 

1. Pursuing or completed a Bachelors/Master’s degree in Computer Science, Data Science, Statistics, or related field.

 

2. Strong programming skills in Python, with experience in libraries such as Pandas, NumPy, Scikit-learn, and NLTK/Spacy.

 

3. Demonstrable expertise in Natural Language Processing.

 

4. Familiarity with machine learning algorithms and concepts.

 

5. Strong problem-solving skills and ability to adapt in a fast-paced environment.

 

6. Excellent written and verbal communication skills.

 

Desirable Qualifications:

 

1. Experience with deep learning frameworks like TensorFlow or PyTorch.

 

2. Knowledge of cloud platforms like AWS, Google Cloud, or Azure.

 

3. Previous experience with data visualization tools such as Matplotlib, Seaborn, or Tableau.

 

4. Familiarity with SQL and relational databases.







 

Role: Data Science & Machine Learning - Other

Industry Type: Education / Training

Department: Data Science & Analytics

Employment Type: Full Time, Permanent

Role Category: Data Science & Machine Learning

Education

UG: B.Tech/B.E. in Computers

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