Lead - Data Science

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. Were a passionate team of 400+ across 6 offices, all growing and learning together since our launch during the pandemic. Here, you wont be stuck in a cubicle - youll be out in the open water, shaping the future with brilliant minds. At ProcDNA, innovation isnt just encouraged, its 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 youll 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