Senior Data scientist | Hybrid | Bangalore - Whitefield | 5+Yrs

PradeepIT Consulting Services Pvt Ltd; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

PradeepIT Consulting Services Pvt Ltd in Bengaluru is seeking a Senior Data Scientist to design and deploy advanced ML/NLP solutions in a hybrid setup (Bangalore - Whitefield). You will collaborate with clients and domain experts to translate goals into actionable analytics and scalable models.

The role requires 5+ years of data science experience, strong Python skills, and experience with NLP, LMs, and visualization tools. Remote work is not specified; hybrid model expected.

Qualifications

• Bachelor's or Master's in CS, ML, math, or stats.
• 5+ years in data science with hands-on ML model building.
• Experience with NLP models and large language models.
• Familiarity with LORA, RAG, fine-tuning, quantization.
• Strong Python programming and data analysis skills.
• Experience with PowerBI, Tableau or similar visualization.

Responsibilities

• Solve business problems for clients using AI and ML technologies.
• Collaborate with business partners and domain experts to design solutions.
• Translate business goals into analytical frameworks and models.
• Develop repeatable, interpretable, and scalable models.
• Communicate analytics approaches and insights to non-technical audiences.
• Lead end-to-end design, development, and deployment of predictive solutions.

Skills

Python

NumPy

Pandas

Scikit-learn

SQL

Spark

NLP

LangChain

LLMs

Education

Bachelor's or Master's in quantitative field

Tools

SQL Server

PowerBI

Tableau

R Shiny

Jupyter

Job description

Senior Data scientist | Hybrid | Bangalore - Whitefield | 5+Yrs

Job Openings Senior Data scientist | Hybrid | Bangalore - Whitefield | 5+Yrs

About the job Senior Data scientist | Hybrid | Bangalore - Whitefield | 5+Yrs

Job Description

Roles and Responsibilities:

• As a, Associate Manager - Senior Data scientist you will solve some of the most impactful business problems for
• our clients using a variety of AI and ML technologies. You will collaborate with business partners and domain
• experts to design and develop innovative solutions on the data to achieve predefined outcomes.
• Engage with clients to understand current and future business goals and translate business problems into
• analytical frameworks
• Develop custom models based on in-depth understanding of underlying data, data structures, and business
• problems to ensure deliverables meet client needs
• Create repeatable, interpretable and scalable models
• Effectively communicate the analytics approach and insights to a larger business audience
• Collaborate with team members, peers and leadership at Tredence and client companies

Qualification:

Bachelor's or Master's degree in a quantitative field (CS, machine learning, mathematics, statistics) or

5+ years of experience in data science, building hands-on ML models

Experience with LMs (Llama (1/2/3), T5, Falcon, Langchain or framework similar like Langchain)

Candidate must be aware of entire evolution history of NLP (Traditional Language Models to Modern Large

Language Models), training data creation, training set-up and finetuning

Candidate must be comfortable interpreting research papers and architecture diagrams of Language Models

Candidate must be comfortable with LORA, RAG, Instruct fine-tuning, Quantization, etc.

Experience leading the end-to-end design, development, and deployment of predictive modeling

solutions.

Excellent programming skills in Python. Strong working knowledge of Pythons numerical, data analysis,

or AI frameworks such as NumPy, Pandas, Scikit-learn, Jupyter, etc.

Advanced SQL skills with SQL Server and Spark experience.

Knowledge of predictive/prescriptive analytics including Machine Learning algorithms (Supervised and

Unsupervised) and deep learning algorithms and Artificial Neural Networks

Experience with Natural Language Processing (NLTK) and text analytics for information extraction, parsing

and topic modeling.

Excellent verbal and written communication. Strong troubleshooting and problem-solving skills. Thrive in

a fast-paced, innovative environment

Experience with data visualization tools PowerBI, Tableau, R Shiny, etc. preferred

Experience with cloud platforms such as Azure, AWS is preferred but not required.