Data Science Lead Analyst Position Overview The Evernorth Innovation Hub (HIH) is seeking a Data Science Lead Analyst to drive the design and delivery of AI/ML and GenAI solutions supporting specialty pharmacy operations. This role serves as the primary technical owner of projects, responsible for translating business problems into working systems. This requires strong hands-on capability across both machine learning and modern AI approaches, including building LLM-powered applications and retrieval-based systems that operate reliably in production environments. Key Responsibilities - Lead the end-to-end development of AI/ML and GenAI solutions, from data exploration to deployment - Design and implement RAG pipelines, including document processing, embedding strategies, and retrieval optimization - Build LLM-based applications using frameworks such as LangChain or similar orchestration tools - Develop workflows involving multi-step reasoning, tool integration, or agent-like behaviors where appropriate - Translate business requirements into scalable analytical and technical solutions - Perform advanced data analysis and feature engineering using Python and SQL - Collaborate with engineering teams to productionize solutions via APIs and containerized services - Mentor junior team members and contribute to best practices in AI/ML development - Ensure solutions are measurable, explainable, and aligned with business outcomes Qualifications Required Skills - Strong proficiency in Python and SQL with experience working on complex datasets - Solid understanding of machine learning techniques, model evaluation, and performance tuning - Hands-on experience with: - LLMs (prompt design, evaluation, handling limitations such as hallucination) - RAG systems (vector databases, embeddings, retrieval strategies) - Langchain or similar frameworks for orchestrating LLM workflows - Experience designing systems that combine structured data with unstructured text or document inputs - Familiarity with APIs, microservices, and deployment patterns - Strong analytical thinking and problem-solving ability - - Required Experience & Education - Bachelor’s or master’s degree in computer science, Engineering, Data Science, or related field - 5 - 8 years of experience in data science, AI/ML, or advanced analytics roles - Proven experience owning end-to-end solution delivery - Desired Experience - Experience in healthcare, pharmacy, or operational analytics domains - Exposure to cloud platforms (AWS preferred) - Experience deploying LLM-based or hybrid AI systems into production - Location & Hours of Work - Full-time position, working 45 hours per week. Expected overlap with US hours as appropriate. - Primarily based in the Innovation Hub in Hyderabad, India, with flexibility to work remotely as required. - Equal Opportunity Statement Evernorth is an Equal Opportunity Employer actively encouraging and supporting organization-wide involvement of staff in diversity, equity, and inclusion efforts to educate, inform and advance both internal practices and external work with diverse client populations. About Evernorth Health Services Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives.

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. WHY JOIN US If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! ABOUT THE ROLE As a Data Analyst focused on Employee Communications, you will drive how engagement is measured and optimized across digital channels, turning data into actionable insights that shape messaging and strategy. Leveraging GA4, SQL, and BI tools like Looker Studio or Tableau, you’ll uncover patterns, support experimentation, and enable stakeholders to make data-informed decisions. This role offers strong visibility and impact at the intersection of analytics, internal communications, and digital platforms. WHAT YOU WILL DO - Define and maintain the measurement framework for Employee Communications, including KPIs, north-star metrics, and leading indicators; - Implement and QA GA4 tracking for internal websites, newsletters, and campaign landing pages; - Build automated dashboards and self-serve reporting in Looker Studio or Tableau for stakeholders at different levels; - Analyze traffic, engagement, and content performance across communication channels; - Segment performance by audience, geography, organization, device, and channel to identify drivers of awareness and action; - Run experiments and A/B tests on content, timing, and channel mix; measure results and recommend optimizations; - Develop attribution approaches for internal campaigns; - Ensure data quality, governance, and documentation, including event taxonomies, UTM standards, metadata conventions, and metric definitions; - Collaborate on campaign execution by supporting targeted list pulls and data segmentation to improve message relevance and engagement rates; - Conduct ad-hoc analyses and deep dives to support leadership requests and quarterly or annual business reviews; - Translate analytical findings into clear narratives and actionable insights for non-technical stakeholders. MUST HAVES - 5+ years of experience in digital, marketing, or product analytics, or similar analytical roles; - Strong SQL skills for querying and joining datasets across multiple data sources; - Hands-on experience with Google Analytics 4, including events, parameters, custom dimensions/metrics, conversions, and explorations; - Experience implementing and validating analytics tracking frameworks, including tagging plans, UTM standards, and metadata governance; - Advanced experience building dashboards in Looker Studio and/or Tableau, including data modeling, calculated fields, filters, and interactive visualizations; - Strong data modeling and data preparation skills; - Demonstrated ability to translate complex analytical findings into clear insights and recommendations; - Excellent communication and stakeholder management skills, with the ability to present insights to both technical and non-technical audiences; - Experience analyzing engagement and performance metrics across digital channels; - Familiarity with survey analytics (e.g., pulse surveys, eNPS) and combining behavioral and attitudinal data; - Exposure to analytics for employee communications platforms (e.g., intranet, email platforms, internal messaging tools); - Upper-intermediate English level. NICE TO HAVES - Experience designing advanced data visualizations in Tableau; - Experience with Python for exploratory analysis or data manipulation. PERKS AND BENEFITS - Professional growth: Mentorship, TechTalks, and personalized growth roadmaps. - Competitive compensation: USD-based pay with education, fitness, and team activity budgets. - Exciting projects: Modern solutions with Fortune 500 and top product companies. - Flextime: Flexible schedule with remote and office options.

Inivos (www.inivosglobal.com) leads innovation in technology, specializing in Enterprise Solutions, Product Development, and Staff Augmentation. Our team of over 180 professionals, including consultants, developers, and quality engineers, delivers cutting-edge solutions that set new industry benchmarks. Within just five years, we’ve established a robust client base across North America, the UK, Scandinavia, South Africa, UAE, Sri Lanka, Bangladesh, Singapore, Netherlands and Australia. We are looking for an experienced utility billing analyst to join our Managed Services team. You must have at least 5 years of experience in utility billing and auditing. Specifically, you will be responsible for setting up new billing clients, entering and reviewing utility consumption data, and auditing the bills. You will assist with customer service and support relating to invoice consumption data inquiries from our clients.  As a Data Analyst - Retail Billing, you will be responsible for:  - Ensure overnight bill runs are accurately completed, with invoices analyzed and distributed, and any exceptions identified and resolved in line with the Billing Operational Plan.  - Ensure customer enquiries are resolved promptly with effective solutions that balance the needs of both the retailer and the customer, while meeting all defined service level requirements.  - Ensure all Meter Data processes are correctly followed, and any data anomalies are identified and resolved in accordance with retailer service definitions and relevant market standards.  - Ensure both payment and market transfer processes are managed effectively and in compliance with the retailer’s service definitions and operational standards.  - Manage Life Support and market compliance processes in accordance with the latest market compliance guidelines.  - Make sure network invoices are examined and processed in line with the approved procedures.  - Make sure process documents and process mapping documents are created, reviewed, and updated to reflect the current processes.  - Coordinating with both internal and external teams, supporting business outcomes, and serving as a subject matter expert to offer guidance on system enhancements, conducting user acceptance testing, and managing tariffs.  - Prepare daily reports on client portfolio billing data, ensuring accuracy and visibility of key billing metrics.  - Implement proactive data solutions to improve billing accuracy and operational efficiency.  - Support settlement reconciliation activities to ensure reconciliation targets are achieved.  - Identify and resolve billing and settlement discrepancies to reduce revenue loss and maximise dispute resolutions.  - Ensure settlement environmental management activities comply with relevant market standards and regulatory requirements.

• Perform end-to-end manual testing of UI/data and analytics features. • Validate application workflows, UI behavior, and backend data processing. • Design and execute detailed test cases, test scenarios, and regression suites. • Perform exploratory, negative, and boundary testing. • Validate ingestion from files, APIs, and cloud storage. • Execute sanity, regression, and volume testing for large datasets. • Test and validate JupyterLab / notebook-based workflows. • Validate transformations, joins, aggregations, business rules, and calculations.