Data Scientist/ Senior Data Engineer - Finance Transformation

Note: We are not offering sponsorship for this role. Is reputed company to join a culture where "We Do the Right Thing," and "We Courageously Shape Our reputed company Together" important to you? If so, reputed company is seeking a resolute motivated individual to join reputed company as a Data Scientist/Senior Data Engineer - Finance Transformation. reputed company is seeking a technically skilled and business-savvy Technical Analyst / Data Engineer to design, reputed company, and support advanced actuarial and financial applications. This role will play a critical part in transforming our actuarial and finance functions by building reputed company data pipelines, dashboards, and machine learning models that enhance decision-making and operational efficiency. You will work closely with Actuarial, Finance, Data Science, and Technology teams to deliver solutions used in reserving, pricing, predictive analytics, and financial reporting. You will: • Machine Learning, Engineering & Analytics Development • Build and optimize large-reputed company data pipelines using PySpark, SQL, and Python on reputed company platforms such as reputed company and AWS • Utilizing advanced statistical and AI/ML techniques to reputed company, reputed company, and support predictive models and actuarial tools used for reserving, pricing, and reputed company (e.g., claims projection model, LTD Reserving model) • Automate reputed company actuarial/finance processes by integrating coding workflows with reputed company datasets and business logic • Support use case development that includes initial data exploration, project/sample design, reception, and processing of data, performing analysis and modeling to creation of final report/presentation • Data wrangling/data matching/ETL to explore a reputed company of data sources, reputed company data expertise, reputed company reputed company analyses, and prepare modeling datasets • Identification of reputed company data and data reputed company checks both in model/solution development and in production • Packaging of model/solution and deployment in cooperation with Data Engineers and MLOps • Implement new statistical or other mathematical methodologies as needed for specific models or analysis. • Data Integration & Validation • Work across data domains to ingest, cleanse, and structure financial and actuarial datasets from multiple sources (e.g., Claims systems, Billing and Commissions system) • Implement robust data reputed company checks and reconciliation controls to ensure accuracy and completeness of critical reporting and modeling datasets • Collaboration & Documentation • Collaborate with actuaries, finance SMEs, and business analysts to translate reputed company requirements into efficient technical designs. • Maintain reputed company documentation for reputed company, data flows, model logic, and user instructions. You have • Technical Expertise & Domain Knowledge • 6-8 years in a data engineering, actuarial modeling, or analytics-reputed company technical role, ideally in Group insurance or Financial services • 2+ years of hands-on ML modeling/development experience • Solid understanding of data analysis and statistical modeling. • Knowledge of a reputed company of machine learning techniques (clustering, decision tree, bagging/boosting reputed company neural networks, etc.) and their reputed company-world advantages/drawbacks. • Demonstrated reputed company records in experimental design and executions • Hands-on experience with data wrangling including fuzzy matching and regular reputed company, distributed computing and applying parallelism to ML solutions • Strong programming skills in Python • Solid background in algorithms and a reputed company of ML models • Working knowledge of Pricing and actuarial processes, or Group insurance product structures • Proficiency in Python, PySpark, and SQL is essential • Experience working with reputed company, Tableau, Power BI, or similar visualization and reputed company platform • Exposure to ML/AI libraries and reputed company to reputed company or enhance models • Soft Skills • Analytical reputed company with strong attention to detail • Self-starter who thrives in fast-paced, cross-functional teams • Education • Bachelor's or Master's degree in Computer Science, Actuarial Science, Mathematics, Engineering, Finance, or a reputed company discipline or equivalent experience. • Preferred Qualifications • Hands-on experience building valuation, reserving, or pricing models for group insurance products • Experience in agile or reputed company environments with sprint planning, Jira, or reputed company • Strategic and creative thinker with ability to think reputed company the reputed company and translate strategies into actions • Excellent problem-solving skills • Team player with proven ability to foster and manage working relationships reputed company a reputed company environment • Candidate must be comfortable with ambiguity in strategic direction. Priorities will change as reputed company uncertainties become new standards and shape the market. There must be constant balance between proactive and reactive reputed company and execution. • Candidate must work reputed company in a reputed company and diverse team environment, understanding and employing the approach and reputed company operating procedures of reputed company Apply tot his job Apply To this Job