Data Science - Assistant Manager at KPMG

Pune, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

06 Jul, 26

Salary

0.0

Posted On

07 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, NLP, GenAI, Python, SQL, LLMs, Transformers, Retriever Augmented Generations, Agentic Frameworks, Pandas, NumPy, Matplotlib, Seaborn, Statistical methods, Data preprocessing, Feature engineering

Industry

Business Consulting and Services

Description

Data Science: Assistant Manager Experience: 7-10 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 * 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 a solid understanding of NLP starting from transformers to the new generation LLMs * Develop and maintain documentation for models, processes, and code to ensure reproducibility and knowledge sharing. * Mentor juniors and other team members and drive client project success * 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 programming skills in Python and SQL * In-depth knowledge of machine learning algorithms, statistical methods * Hands-on experience with Retriever Augmented Generations , Agentic Frameworks * Proficiency with data manipulation and visualization tools such as Pandas, NumPy, Matplotlib, and Seaborn. * Ability to work independently, manage multiple projects, and meet tight deadlines in a fast-paced environment. * Ability to pickup 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. Preferred Qualifications: * Experience with cloud platforms such as AWS, GCP, or Azure for deploying machine learning models. * Any experience in time series forecasting is preferred.

Responsibilities

Develop and implement advanced machine learning and GenAI solutions while performing data preprocessing and exploratory analysis. Mentor team members and communicate complex analytical insights to both technical and non-technical stakeholders.