Data Science - Consultant

Bangalore, Karnataka, India

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KPMG India

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Data Science: Consultant

Experience: 4- 7 years

Overview: We are looking for a seasoned Data Scientist with expertise in Machine Learning and NLP/GenAI to join our dynamic team. This is an exciting opportunity to work on challenging data science projects and make a significant impact on our client outcome.

Key Responsibilities:

  • Develop and implement advanced machine learning models and GenAI based solutions in client projects
  • Perform data preprocessing, feature engineering, and exploratory data analysis to extract meaningful insights from large datasets.
  • Evaluate model performance using appropriate metrics and refine models for improved accuracy and efficiency.
  • Should have understanding of NLP starting from transformers to the new generation LLMs
  • Mentor juniors team members 
  • Communicate results and insights effectively to both technical and non-technical stakeholders.

Qualifications:

  • Bachelor’s or master’s degree in computer science, Statistics, Mathematics, Data Science, Economics or a related field; 
  • Strong skills in Python, SQL, API development, code version control and docker
  • In-depth knowledge of machine learning algorithms, statistical methods and used them in client engagements
  • Hands-on experience with time series forecasting models such as ARIMA, SARIMA, Exponential Smoothing, Prophet, LSTM, and others.
  • Some hands-on experience with Retriever Augmented Generations either in POC or client engagements
  • Comfortable with at least one cloud provider between Azure, GCP or AWS
  • Ability to pick up new technology as it comes
  • Strong analytical and problem-solving skills with attention to detail.
  • Excellent communication skills, with the ability to explain complex analytical concepts to non-technical audiences.

 

 

Data Science: Consultant

Experience: 4- 7 years

Overview: We are looking for a seasoned Data Scientist with expertise in Machine Learning and NLP/GenAI to join our dynamic team. This is an exciting opportunity to work on challenging data science projects and make a significant impact on our client outcome.

Key Responsibilities:

  • Develop and implement advanced machine learning models and GenAI based solutions in client projects
  • Perform data preprocessing, feature engineering, and exploratory data analysis to extract meaningful insights from large datasets.
  • Evaluate model performance using appropriate metrics and refine models for improved accuracy and efficiency.
  • Should have understanding of NLP starting from transformers to the new generation LLMs
  • Mentor juniors team members 
  • Communicate results and insights effectively to both technical and non-technical stakeholders.

Qualifications:

  • Bachelor’s or master’s degree in computer science, Statistics, Mathematics, Data Science, Economics or a related field; 
  • Strong skills in Python, SQL, API development, code version control and docker
  • In-depth knowledge of machine learning algorithms, statistical methods and used them in client engagements
  • Hands-on experience with time series forecasting models such as ARIMA, SARIMA, Exponential Smoothing, Prophet, LSTM, and others.
  • Some hands-on experience with Retriever Augmented Generations either in POC or client engagements
  • Comfortable with at least one cloud provider between Azure, GCP or AWS
  • Ability to pick up new technology as it comes
  • Strong analytical and problem-solving skills with attention to detail.
  • Excellent communication skills, with the ability to explain complex analytical concepts to non-technical audiences.

 

 

Data Science: Consultant

Experience: 4- 7 years

Overview: We are looking for a seasoned Data Scientist with expertise in Machine Learning and NLP/GenAI to join our dynamic team. This is an exciting opportunity to work on challenging data science projects and make a significant impact on our client outcome.

Key Responsibilities:

  • Develop and implement advanced machine learning models and GenAI based solutions in client projects
  • Perform data preprocessing, feature engineering, and exploratory data analysis to extract meaningful insights from large datasets.
  • Evaluate model performance using appropriate metrics and refine models for improved accuracy and efficiency.
  • Should have understanding of NLP starting from transformers to the new generation LLMs
  • Mentor juniors team members 
  • Communicate results and insights effectively to both technical and non-technical stakeholders.

Qualifications:

  • Bachelor’s or master’s degree in computer science, Statistics, Mathematics, Data Science, Economics or a related field; 
  • Strong skills in Python, SQL, API development, code version control and docker
  • In-depth knowledge of machine learning algorithms, statistical methods and used them in client engagements
  • Hands-on experience with time series forecasting models such as ARIMA, SARIMA, Exponential Smoothing, Prophet, LSTM, and others.
  • Some hands-on experience with Retriever Augmented Generations either in POC or client engagements
  • Comfortable with at least one cloud provider between Azure, GCP or AWS
  • Ability to pick up new technology as it comes
  • Strong analytical and problem-solving skills with attention to detail.
  • Excellent communication skills, with the ability to explain complex analytical concepts to non-technical audiences.

 

 

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Consulting Jobs

Tags: API Development APIs AWS Azure Computer Science Data analysis Docker Economics EDA Engineering Feature engineering GCP Generative AI LLMs LSTM Machine Learning Mathematics ML models NLP Python SQL Statistics Transformers

Region: Asia/Pacific
Country: India

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