Summary of role
The successful candidates will be responsible for driving deep-dive analyses, developing and deploying predictive models that help data-driven decisions to support business challenges
Primary duties may include but are not limited to:
• Drive deep-dive analyses that help data-driven decisions to support business challenges
• Develop and deploy predictive models across a variety of problem domains;
• Manage models after deployment to ensure their correct function and maintain/update/replace them as appropriate;
• Prepare and demonstrate reports to various levels of internal staff.
• Working cross-functionally to identify actionable insights from rich data sources and create new tools to support the business need to drive value from the data.
• Domain expertise, leading to proactive identification of use cases and activities to benefit the team and the business.
• Working in an agile manner, constantly seeking the most efficient methods to deliver against business objectives, delivering rapid insights and proof of concepts to teams.
• Recommending strategy and actively contributing to the development of the department, setting goals and objectives for their area of responsibility, and developing the end-to-end strategy to deliver on those goals and objectives.
• Ensure Data Governance and policies are being adhered to in delivering high-quality reporting & analytics solutions and services to all team members.
Requirements:
• Over 5 years of relevant experience
• Bachelor’s degree required (in data science, Mathematics, Statistics, Engineering, Computer Science, Finance, Machine learning, Econometrics, Physics or related quantitative disciplines). Master’s on PHD in the field is a plus
• Technical skills. Experienced professional with proficiency in the following (works independently and oversees the work of other team members):
• Key go-to person on the team in general machine learning and NLP.
• Python coding, SQL scripting
• Experience in DevOps / MLOps
• Solving problems through modelling, measurement, and data analysis.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, proper usage, etc.) and experience with applications.
• Monitoring data quality and building data validations.
• Reporting and data visualisation.
• Proficient in data science workflow for running projects from end to end
• Extensive experience in Data Architecture, Data Science, machine learning, and simulation techniques.
• Experienced in the current state-of-the-art analytics applications and methodologies.
• Demonstrable experience in predictive modelling and clustering techniques in business environments.
• Optional skills: Experience with transformers and large language model is a plus.
• Communication skills-
• Ability to communicate with all levels in the company and adjust presentations to the audience are necessary.
• Strong data storytelling skills
• Highly experienced in working collaboratively within cross-functional teams
• Build relationships with key stakeholders
• Ability to take ownership of various tasks and direct the team in choosing the best possible action
• Working with the team to define project scope and needs
• Leadership-
• Experience in owning the technical delivery of part of a project
• Mentoring other team members
• Ability to deliver to short timelines and under pressure
• Desire to grow as a people manager
• Interest in growing knowledge in health insurance, experience in the area is a plus
