It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite empowers imagination with intelligence. And that it will be such Fractalites that will continue to build the company for the next 100 years. Please visit Fractal | Intelligence for Imagination for more information about Fractal. Senior GenAI Data Scientist Remote Job Summary The role involves designing, developing, and deploying advanced Machine Learning and Generative AI solutions to derive insights from large-scale, fragmented, and unstructured data. The position focuses on building robust Python-based data pipelines, applying state-of-the-art techniques such as Retrieval-Augmented Generation (RAG), Large Language Model (LLM) fine-tuning, and embedding optimization, and ensuring scalable deployment on Azure using MLOps best practices. The role requires close collaboration with engineering teams to productionize, monitor, and continuously improve models through experimentation, A/B testing, and metrics-driven iterations, ultimately delivering reliable and high-impact AI solutions. Job Description - Research, design, and implement ML and GenAI solutions for fragmented, large-scale, and unstructured datasets. - Develop data pipelines and workflows in Python for ingestion, transformation, and feature engineering. - Apply advanced techniques like RAG, LLM fine-tuning, and embedding optimization for improved performance. - Work with large databases, data warehouses, and integrate across multiple sources with ambiguity handling. - Deploy models using Azure, ensuring scalability and governance with MLOps best practices. - Conduct experimentation and A/B testing to validate hypotheses and optimize outcomes. - Collaborate with engineering teams for productionization and monitoring of models. - Drive continuous improvement through metrics-driven insights and iterative refinements. Pay: The wage range for this role considers the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $120,000 - $140,000. You are also, eligible for discretionary annual bonus. Benefits: As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a “free time” PTO policy, allowing you the flexibility to take time needed for either sick time or vacation. Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Hiring Related Queries India: HiringsupportIndia@fractal.ai Outside India: HiringsupportROW@fractal.ai Please share resume via job postings Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

Supervisor, Client Data & Reporting Opening Statement We are looking for a thoughtful and driven leader who is energized by turning data into insight that helps teams succeed. As Supervisor, Client Data & Reporting, you will guide a talented analytics team while shaping how client and sales data is delivered across the organization. This role blends operational excellence, people leadership, and strategic influence. You will help business partners move faster, decide smarter, and trust the data that powers their work—while growing your own leadership capabilities in a collaborative, high‑impact environment. Responsibilities Deliver Reliable, High‑Impact Reporting - Ensure client and sales partners receive timely, accurate, and consistent reporting that enables confident decision‑making. - Oversee intake, prioritization, and execution of reporting requests using Wrike, balancing speed, quality, and capacity. - Guide analysts in producing recurring, ad‑hoc, and project‑based reports aligned to approved data sources and standards. Lead Through Partnership and Influence - Serve as a trusted escalation point for complex reporting needs, collaborating with Senior Client Data Analysts to resolve challenges. - Represent the Client Data & Reporting team in market and regional sales operations discussions. - Translate business questions into clear analytics requirements that support application development and reporting solutions. Strengthen Data Strategy and Quality - Identify risks, perform root‑cause analysis, and recommend data‑driven improvements. - Integrate multiple approved data sources to deliver clear, actionable insights. - Support the evolution of reporting strategies that scale with business growth. Drive Continuous Improvement - Lead process improvements that reduce manual effort, increase standardization, and improve turnaround time. - Identify automation opportunities and partner with matrix teams to implement sustainable solutions. - Maintain clear, accessible documentation and standard operating procedures. Develop and Inspire the Team - Coach and develop Client Data Analysts and Senior Client Data Analysts through ongoing feedback and support. - Reinforce a culture of accountability, curiosity, and collaboration aligned with SRC operating principles. - Support training efforts to build consistent tool usage and reporting excellence. Qualifications Required Qualifications - Minimum 5 years of experience in sales operations, reporting, analytics, or a closely related function. - Hands‑on experience with client or sales reporting platforms such as ADVICE, CFE, Tableau, Salesforce, Tech Central, EICO, Convey, or similar tools. - Proven ability to manage multiple priorities, meet deadlines, and maintain strong attention to detail. - Experience partnering with matrix teams and engaging directly with business stakeholders. - Strong written and verbal communication skills with proficiency in Microsoft Office 365. Preferred Qualifications - Bachelor’s or Associate degree in analytics, business, or a related field. - Experience leading or influencing process improvement or automation initiatives. - Prior people leadership experience, either formal or informal, supporting team development. If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload. For this position, we anticipate offering an annual salary of 66,400 - 110,600 USD / yearly, depending on relevant factors, including experience and geographic location. This role is also anticipated to be eligible to participate in an annual bonus plan. At The Cigna Group, you’ll enjoy a comprehensive range of benefits, with a focus on supporting your whole health. Starting on day one of your employment, you’ll be offered several health-related benefits including medical, vision, dental, and well-being and behavioral health programs. We also offer 401(k), company paid life insurance, tuition reimbursement, a minimum of 18 days of paid time off per year and paid holidays. For more details on our employee benefits programs, click here. About Cigna Healthcare Cigna Healthcare, a division of The Cigna Group, is an advocate for better health through every stage of life. We guide our customers through the health care system, empowering them with the information and insight they need to make the best choices for improving their health and vitality. Join us in driving growth and improving lives. Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws. If you need a reasonable accommodation to complete the online application process, please email seeyourself@thecignagroup.com for assistance. Please note that this email inbox is dedicated to accommodation requests only and cannot provide application updates or accept resumes. The Cigna Group has a tobacco-free policy and reserves the right not to hire tobacco/nicotine users in states where that is legally permissible. Candidates in such states who use tobacco/nicotine will not be considered for employment unless they enter a qualifying smoking cessation program prior to the start of their employment. These states include: Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Ohio, Pennsylvania, Texas, Utah, Vermont, and Washington State. Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances.

• Lead the data science and analytics strategy for underwriting transformation software products, from problem framing through production deployment. • Design and operationalize causal, predictive, and scenario‑based analytical capabilities supporting underwriting, pricing, and risk decisions. • Partner closely with Product Management and Engineering to embed analytics and reporting into core product workflows. • Define, track, and report product, operational, and business metrics and OKRs aligned to organizational and underwriting transformation goals. • Establish scalable reporting frameworks and dashboards that provide transparency into product performance, financial impact, and delivery outcomes. • Deliver executive‑ready insights that clearly articulate progress, risks, and tradeoffs. • Provide technical leadership in causal inference and counterfactual analysis to assess underwriting and pricing changes. • Ensure analytical models are interpretable, validated, and production‑ready. • Facilitate continuous, cross‑functional communication across Product, Engineering, Underwriting, Finance, Actuarial, and Executive teams.

• Develop and implement real-time scoring models to quantify the risk level of transactions and credit operations. • Build predictive models using internal and third-party data to optimize user onboarding and reduce losses. • Evolve static rule engines into dynamic, graph-based ones, enabling more intelligent and adaptable rule management. • Lead the adoption of new technologies like Databricks and Data Catalogue, advocating for best practices and facilitating a transition to a more modern and efficient data environment. • Analyze large volumes of transactional, user behavior, and demographic data to identify patterns, trends, and opportunities for improvement in risk assessment. • Develop and implement fingerprinting and geographic tracking solutions to improve risk assessment. • Guide and mentor team members, sharing your experience and knowledge, and leading key projects from a technical perspective. • Monitor and analyze the performance of credit models, focusing on their stability and accuracy.