Corporate Trainer - Data Science Fractal Analytics Private Limited

Corporate Trainer - Data Science, SME

It's fun to work in a company where people truly BELIEVE in what they are doing!

We're committed to bringing passion and customer focus to the business.

Brief about the Team & Fractal: Fractal Analytics is Leading Fortune 500 companies leverage Big Data, analytics and technology to drive smarter, faster and more accurate decisions in every aspect of their business.

Fortune 500 companies recognize analytics is a competitive advantage to understand customers and make better decisions. We deliver insight, innovation and impact to them through predictive analytics and visual story-telling.

Experience: 4 to 8 years

Mandatory skills for an SME

• Content Development
• Proactive in continuous learning
• Prior experience at L&D , content development, conducting workshops, teaching technical sessions 

Mandatory technical skills for Data Science SME

• Programming in Python with a strong hands-on experience
• Hands-on experience in Data Analytics
• Statistical Analysis: Descriptive and Inferential Statistics, Probability Distributions, Hypothesis Testing, Statistical Tests like Z Test, Chi-Square Test, t -test etc.
• Data Visualization using Python: Univariate and Bivariate Analysis. Strong skills in interpretation and drawing the business insights from the plots
• Data Preprocessing Techniques, Feature Engineering using PCA, LDA etc.
• Machine Learning: Supervised and unsupervised algorithms
• Advanced Machine Learning: Bagging and Boosting Techniques
• Time Series Analysis: ARIMA, SARIMA, Holt-Winter's model etc.
• Neural Networks: ANN, CNN, Transfer Learning, Pre-trained Models, RNN, LSTM
• Natural Language Processing: Text Processing
  NLP using Deep neural networks: BERT Models, Transformers, Encoders and Decoders
• GenAI: LLMs, Prompt Engineering Techniques, Building RAG Models, LangChain, LangGraph, LlamaIndex, Agentic AI

Value-add:

• BI tools like PowerBI
• Data Engineering with Azure Cloud Services

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Not the right fit?  Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

Experience Level