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 competitivenessPopular Data Scientist title, metro location, and broad ML skill requirements increase candidate competition.
Role demands ML/AI and banking domain context, making cross-industry transferability medium.
Requires concrete ML, Python, SQL, cloud and MLOps skills but lacks explicit years, so moderate filtering.
Job Description
Structured overview of role & requirementsAbout This Role
Own the end-to-end process of data extraction, cleaning, transformation, and development of automated data pipelines to support analytics.
Develop, implement, and maintain statistical and machine learning models to analyze data patterns, forecast outcomes, and identify risks and opportunities.
Collaborate closely with business stakeholders to translate business challenges into scalable data-driven solutions that inform strategic decision-making and drive operational improvements.
Minimum Requirements
Strong programming skills in Python and SQL.
Experience in developing and deploying machine learning models including supervised and unsupervised techniques.
Familiarity with cloud-based analytics platforms such as AWS or equivalent.
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced in working with large, complex datasets and skilled in data preparation, feature engineering, and model optimization.
Capable of bridging technical and business domains by translating business needs into analytical solutions and effectively communicating insights to non-technical stakeholders.
Comfortable operating in a collaborative environment that includes stakeholders across business, technology, and risk domains, focused on delivering measurable commercial and customer value.