Match Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessLog in to see why each signal reads the way it does.
Job Description
Structured overview of role & requirementsAbout This Role
Lead the end-to-end development and deployment of machine learning models, including data preprocessing, feature engineering, model selection, validation, and performance monitoring.
Collaborate with business stakeholders to translate problems into data science projects and communicate findings for decision-making.
Build and mentor a data science team, promote best practices in coding, documentation, and collaborative development using platforms like GitHub and Databricks.
Minimum Requirements
5+ years of experience in data science or model development roles.
Advanced proficiency in Python and SQL, with hands-on experience on Databricks and big data platforms such as Spark or Hadoop.
Proven expertise in machine learning algorithms including GLM, Generative AI, and neural networks using frameworks like TensorFlow or PyTorch.
Work Experience Required: Minimum 5 years in data science/model development roles.
Ideal Candidate Profile
Experienced in managing the full machine learning model lifecycle with demonstrable skills in data acquisition, exploratory data analysis, feature engineering, and model monitoring.
Strong operational focus on code quality, version control (GitHub), documentation, and stakeholder communication at multiple organizational levels.
Skilled in leading and growing technical teams within complex, data-driven environments, preferably with exposure to cloud platforms and insurance industry problems.