•    Minimum 12+ years of relevant experience in building software applications in data and analytics field
•    Enhance the go-to-market strategy by designing new and relevant solution frameworks to accelerate our clients’ journeys for impacting patient outcomes. Pitch for these opportunities and craft winning proposals to grow the Data Science Practice.
•    Build and lead a team of data scientists and analysts, fostering a collaborative and innovative environment.
•    Oversee the design and delivery of the models, ensuring projects are completed on time and meet business objectives.
•    Engaging in consultative selling with clients to grow/deliver business.
•    Develop and operationalize scalable processes to deliver on large & complex client engagements.     
•    Ability to design and implement cloud solutions and ability to build MLOps pipelines on cloud solutions (AWS, MS Azure or GCP)
•    Experience with MLOps Frameworks like Kubeflow, MLFlow, DataRobot, Airflow etc., experience with Docker and Kubernetes, OpenShift.
•    Programming languages like Python, Go, Ruby or Bash, good understanding of Linux, knowledge of frameworks such as scikit-learn, Keras, PyTorch, Tensorflow, etc.
•    Ability to understand tools used by data scientist and experience with software development and test automation.
•    Good understanding of advanced AI/ML algorithms & their applications
•    Applications and Digital Automation Solutions, Low Code /No Code and Automation Platforms, designing API's and exposure to DevOps, React/Angular, containers, building visualization layer.
•    Knowledge of self-service analytics platforms such as Dataiku/ KNIME/ Alteryx will be an added advantage. MS Excel knowledge is mandatory. Familiarity with Life Sciences is a plus