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We are seeking a talented individual to join our Benefit Analytics Team at Marsh. This role will be based in Mumbai. This is a hybrid role that has a requirement of working at least three days a week in the office.
Principal Engineer - Data Science
We will count on you to:
Design and implement data analytics products that utilize web-based technologies to solve complex business problems and drive strategic outcomes.
Utilize strong conceptual skills to explore the "Art of the Possible" in analytics, integrating data, market trends, and cutting-edge technologies to inform business strategies.
Manage and manipulate large datasets from diverse sources, ensuring data quality through cleaning, consolidation, and transformation into meaningful insights.
Conduct exploratory data analysis (EDA) to identify patterns and trends, reporting key metrics and synthesizing disparate datasets for comprehensive insights.
Perform rigorous quality assurance (QA) on datasets, ensuring accuracy, logical consistency, and alignment with analytical dashboards.
Automate data capture processes from various sources, streamlining data cleaning and insight generation workflows.
Apply knowledge of insurance claims, policies, terminologies, health risks, and wellbeing to enhance analytical models and insights.
Collaborate with cross-functional teams to develop and deploy machine learning models and predictive analytics solutions.
Utilize SQL for database management and data manipulation, with a focus on optimizing queries and data retrieval processes.
Develop ETL Automation pipelines using tools such as Python, GenAI and ChatGPT APIs ensuring efficient and optimized code.
Communicate complex data-driven solutions clearly and effectively, translating technical findings into actionable business recommendations.
Having knowledge around LLM/RAG/Power BI/Tableau will be preferred
What you need to have:
Educational Background: A Bachelor’s or Master’s degree in Computer Science, Information Technology, Mathematics, Statistics, or a related field is essential. A strong academic foundation will support your analytical and technical skills.
Experience: 3-5 years of progressive experience in a Data Science or Data Analytics role, demonstrating a solid track record of delivering impactful data-driven insights and solutions.
Technical Proficiency:
Programming Skills: Advanced proficiency in Python is required, with hands-on experience in data engineering and ETL processes. Familiarity with exploratory data analysis (EDA) techniques is essential.
API Knowledge: Intermediate experience with ChatGPT APIs or similar technologies is a plus, showcasing your ability to integrate AI solutions into data workflows.
Business Intelligence Tools: A good understanding of BI tools such as Qlik Sense, Power BI, or Tableau is necessary for effective data visualization and reporting.
Data Extraction Expertise: Proven ability to extract and manipulate data from diverse sources, including web platforms, PDFs, Excel files, and various databases. A broad understanding of analytics methodologies is crucial for transforming raw data into actionable insights.
Analytical Mindset: Strong analytical and problem-solving skills, with the ability to interpret complex data sets and communicate insights effectively to stakeholders.
Adaptability to New Technologies: A keen interest in AI and emerging technologies, with a willingness to learn and adapt to new tools and methodologies in the rapidly evolving data landscape.
What makes you stand out?
Degree or Certification in Data Management, Statistics , Analytics and BI tools (Qlik Sense & Tableau) ( would be preferred )
Experience in Healthcare sector, working with Multination clients .
Why join our team:
We help you be your best through professional development opportunities, interesting work and supportive leaders.
We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities.
Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.