Lead - Data Science

ProcDNA; Bengaluru; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

ProcDNA is seeking a data science expert to design and develop AI/ML solutions. You will manipulate data with Pandas/NumPy and build visuals with Matplotlib/Seaborn, delivering robust models and insights from large datasets.

The role requires 4.5–6 years of hands-on data science experience, strong ML knowledge, and the ability to lead a small team while collaborating with clients. Proficiency in Python or R and SQL knowledge are highly valued.

Qualifications

• 4.5 - 6 years of hands-on experience in data science, AI/ML.
• Strong understanding of machine learning.
• Motivated with ability to work creatively and analytically in a problem-solving environment with minimal direction.
• Solid understanding and practical experience in applying ML algorithms for predictive modeling, classification, and clustering. Knowledge of deep learning frameworks such as TensorFlow or PyTorch is a bonus.
• Strong communication and collaboration skills with the ability to articulate results to internal and client teams.
• Experience in guiding and leading a small team of budding data scientists.
• Strong statistical skills for hypothesis testing, experimentation, and A/B testing.

Responsibilities

• Study and refine data science prototypes.
• Identify data sources and collect large structured and unstructured datasets for client needs.
• Perform statistical analysis and fine-tune using test results.
• Research and implement ML algorithms and tools.
• Collaborate on building internal offerings to grow client value beyond project work.
• Contribute to data science projects including data cleaning, feature engineering, model development, and deployment.
• Run ML tests and experiments.
• Proficiency in Python or R; SQL for querying is beneficial.

Skills

Data science

AI/ML

Python

R

SQL

TensorFlow

PyTorch

Statistics

Communication

Tools

Pandas

NumPy

scikit-learn

Matplotlib

Seaborn

Job description

About ProcDNA

ProcDNA is a global consulting firm. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 400+ across 6 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle - you'll be out in the open water, shaping the future with brilliant minds. At ProcDNA, innovation isn't just encouraged, it's ingrained in our DNA

About ProcDNA

ProcDNA is a global consulting firm. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 400+ across 6 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle - you'll be out in the open water, shaping the future with brilliant minds. At ProcDNA, innovation isn't just encouraged, it's ingrained in our DNA

What Are We Looking For

A data science expert with expertise in designing and developing AI/ML solutions. Advanced skills inusing libraries like Pandas, NumPy, and scikit-learn for data manipulation and analysis, and usinglibraries like Matplotlib, Seaborn, etc. for data visualization.

What You'll Do

• Study and transform data science prototypes.
• Identify relevant data sources and sets to minefor client business needs and collect large,structured, and unstructured datasets.
• Perform statistical analysis and fine-tuningusing test results.
• Research and implement appropriate MLalgorithms and tools.
• Collaborate in building internal offerings to helpclient/company grow on aspects beyondproject/client work.
• Contribute to data science projects, includingdata cleaning, feature engineering, model development, and deployment.
• Run ML tests and experiments.
• Proficiency in languages such as Python or R isessential. Knowledge of SQL for database querying is also beneficial

Must Have

• 4.5 - 6 years of hands-on experience in data science, AI/ML.
• Strong understanding of machine learning
• Highly motivated with a proven ability to workcreatively and analytically in a problem-solvingenvironment with minimal direction.
• Solid understanding and practical experience inapplying machine learning algorithms forpredictive modeling, classification, andclustering. Knowledge of deep learning frameworks such as TensorFlow or PyTorch is a bonus.
• Strong communication and collaboration skillswith the ability to articulate results and issues to internal and client teams.
• Experience in guiding and leading a small teamof budding data scientists.
• Strong statistical skills for hypothesis testing,experimentation, and A/B testing

Skills: machine learning,data science,algorithms