189 Customer Analytics Jobs - Page 8

Role Summary/Purpose: The AVP,/VP Remediation Reporting Insight Analyst drives maturity in our remediation performance capabilities. This role will be responsible for ongoing remediation reporting, and for analysis leveraging remediation and issue management data to identify critical insights, patterns, and trends relevant to process performance, health drivers, KPI, KRI reporting, Compliance and other governance reporting requirements. Essential Responsibilities: Prepare and analyze ongoing remediation reporting, identifying trends and/or anomalies warranting additional research. Oversee ongoing reporting and deep dive analysis into KPIs and KRIs. Establish mechanisms and technical queries to combine available data, and conduct detailed analysis to identify opportunities for process enhancements, early warning triggers, and health drivers Engage with Issue Management teams to support opportunities for improvements and consistent reporting/monitoring across the teams. Oversee and ensure compliance with model and non-model governance requirements for the full lifecycle of applicable tools. Develop presentations synthesizing analysis for reporting to both internal and regulatory audiences. Lead projects for reporting development and data integration. Provide process focused analytics support to remediation and related process stakeholders. Analyze all aspects of the remediation experience by developing indices using additional variables, including but not limited to, remediation volume, key drivers, and similar. Required Skills/Knowledge: Bachelor's degree and a minimum of 8+ years of hands-on reporting and analytics experience OR in lieu of a Bachelor's Degree, a High School Diploma / GED and a minimum of 10+ years of hands-on reporting and analytics experience Minimum 2 years experience utilizing statistical techniques, e.g., modeling, A/B testing, and segmentation. 3+ years of experience with proven ability to extract unstructured and structured data with strong programming ability in SAS, SQL, R, Python or other programming language. Desired Characteristics: Bachelor's degree, preferably in a quantitative discipline, such as statistics, mathematics, or engineering. Strong project management, communications, multi-tasking, ability to work independently, relationship management skills are keys to success. Solid understanding of card industry financial P&L drivers and key sensitivities, with business performance reporting experience. Demonstrated ability to manage complexity and multiple initiatives. Ability to perform ad-hoc analysis, glean and form business insights under aggressive timelines. Results-oriented; ready to challenge the status quo for continuous improvement. Eligibility Criteria: Bachelor's degree and a minimum of 8+ years of hands-on reporting and analytics experience OR in lieu of a Bachelor's Degree, a High School Diploma / GED and a minimum of 10+ years of hands-on reporting and analytics experience

Role & responsibilities:- Design, implement, and manage dashboards using Adobe Analytics to track key performance metrics. Integrate various API endpoints to extract and manipulate data for reporting. Collaborate with cross-functional teams to understand business requirements and deliver actionable analytics insights. Ensure the accuracy and reliability of data across various channels. Troubleshoot and resolve data discrepancies or issues related to data feeds. Continuously improve and optimize reporting tools and dashboards for business stakeholders. Preferred candidate profile :- 2-4 years of experience working with Adobe Analytics and related tools. Proficient in data visualization and dashboard creation within Adobe Analytics. Strong experience with API integrations to pull data from various endpoints. Solid understanding of web analytics and data tracking methodologies. Familiarity with Adobe Experience Cloud and other Adobe tools. Strong analytical and problem-solving skills. Ability to work in a fast-paced environment with changing requirements.

Key Responsibilities 1. Analytics & Reporting Build and maintain dashboards, trackers, and KPI frameworks across various CX functions including: Ticket volumes and SLA adherence Escalation trends and resolution TAT Agent performance metrics (FCR, AHT, CSAT) NPS trends and behavioural analytics Drive weekly/monthly CX performance reviews and business updates for internal stakeholders and senior leadership. 2. Problem-Solving & Insight Generation Conduct root cause analysis (RCA) for key CX issues and ticket spikes across categories such as Repairs & Maintenance, Internet, Housekeeping, etc. Use structured problem-solving frameworks to identify friction points and suggest data-backed, actionable solutions to enhance customer satisfaction and reduce repeat issues. 3. Product & Process Intelligence Partner with category program managers to provide actionable insights for process improvement, SOP updates, and automation initiatives aimed at ticket reduction. Collaborate with Product and Tech teams to: Define data/event triggers Identify relevant user cohorts Co-create interventions such as self-serve journeys and proactive nudges. 4. Cross-functional Collaboration Work closely with on-ground operations, call centre teams, escalation managers, and product owners to translate data insights into actionable strategies. Maintain and update the CX Data Dictionary , ensuring data hygiene, standardization, and consistency across all internal tools and dashboards. Skills & Qualifications Strong command over SQL for data querying and extraction Hands-on experience in building dashboards and reports using Power BI (or similar visualization tools) Ability to synthesize large data sets into meaningful insights and storytelling Strong stakeholder management and communication skills Attention to detail, a proactive mindset, and a bias for action

We are seeking a high-performing Program Manager to lead ticket operations and strategy for key service categories like Repairs & Maintenance (R&M), Internet, Housekeeping, Food, and Utilities. This role is pivotal in ensuring SLA adherence, cross-functional process ownership, and proactive CX interventions to reduce operational friction and enhance resident satisfaction. Key Responsibilities : 1) Operational Excellence Own and drive operational metrics (SLA, TAT, Reopen%, etc.) for your assigned CX categories (e.g., R&M, Internet). Ensure 100% SLA adherence for all support tickets and resident escalations by closely monitoring ground resolution teams and vendor partners. Set up and maintain dashboards & reporting systems to track real-time ticket status and exception areas. 2) Process & Product Ownership Collaborate with product, tech, and operations teams to own and continuously improve support processes from both central and on-ground perspectives. Identify automation and self-serve opportunities and work with the product team to integrate them into the support platform Audit process adherence at regular intervals and set up feedback loops for systemic improvements. 3) CX Call Team Oversight Manage the performance of operational call teams (central calling agents/escalation handlers). Design and execute workflows ensuring timely callbacks, closure follow-ups, and voice interventions for high-priority escalations. 4) Stakeholder Governance Lead and facilitate weekly and monthly review meetings with internal business units (City Ops, Tech, Vendor Mgmt) and external partners (vendors, service providers). Generate action-oriented insights from support data to drive strategic planning and cross-functional alignment. 5) Ticket Prevention & Proactive CX Analyze historical trends to identify ticket drivers and implement preventive SOPs in collaboration with operations and city leads. Design early warning systems using trigger signals (NPS drops, ticket surges, location-level risks) to act proactively.

Skills : SAS/SQL + Marketing Analytics + Campaign (Measurement/Optimization/Setup) Exp : 10+ yrs (Min 6+ yrs relevant) Notice Period : 90 days (Not much preferred), 60 days Max People management is a must (4-5 members he will be handling)

Job Summary: Lead solution scoping and development to drive Enterprise Analytics team s partnership with Business teams across Tesco to enable data driven decisions and deliver on organizations key strategic priorities In this job, I m accountable for: Following our Business Code of Conduct and always acting with integrity and due diligence and have these specific risk responsibilities: Represent Talent Acquisition in all forums/ seminars pertaining to process, compliance and audit Perform other miscellaneous duties as required by management Driving CI culture, implementing CI projects and innovation for withing the team Engaging with business & functional partners to understand business priorities, ask relevant questions and scope same into a analytical solution document calling out how application of data science will improve decision making In depth understanding of techniques to prepare the analytical data set leveraging multiple complex data set sources Building Statistical models and ML algorithms with practitioner level competency Writing structured, modularized & codified algorithms using Continuous Improvement principles (development of knowledge assets and reusable modules on GitHub, Wiki, etc) with expert competency Building easy visualization layer on top of the algorithms in order to empower end-users to take decisions - this could be on a visualization platform (Tableau / Python) or through a recommendation set through PPTs Proactively driving consumption of solutions developed by the team and owning the initiative to identify and address areas of improvement in the larger Tesco business Keeping up-to-date with the latest in data science and retail analytics and disseminating the knowledge among colleagues Mentoring and leading a small team of Applied Data Scientists to deliver high impact analytics projects You will need Key people and teams I work with in and outside of Tesco: People, budgets and other resources I am accountable for in my job: Enterprise Analytics Senior Management NA Partners across the global Tesco business Tesco Business Solutions Senior Management Operational skills relevant for this job: Experience relevant for this job: Applied Math: Applied Statistics, Design of Experiments, 5+ years experience in data science application in Regression, Decision Trees, Forecasting, Optimization and delivering analytics solutions in industries such as retail, algorithms, Clustering, NLP consumer packaged goods (CPG), telecom, or hospitality Tech: SQL, Hadoop, Spark, Python, Tableau, MS Excel, MS preferred Powerpoint, GitHub Exposure to functional areas like marketing, supply chain, Business: Basic understanding of Retail domain customer analytics, merchandising, operations, finance, or digital Soft Skill: Analytical Thinking & Problem solving, analytics

Senior Software Engineer- Data Engineer We are looking for an experienced Data Engineer with strong expertise in Snowflake, dbt, Airflow, AWS, and modern data technologies like Python, Apache Spark, and NoSQL databases. The role focuses on designing, building, and optimizing data pipelines to support analytical and regulatory needs in the banking domain. Key Responsibilities: Design and implement scalable and secure data pipelines using Airflow, dbt, Snowflake, and AWS services. Develop data transformation workflows and modular SQL logic using dbt for a centralized data warehouse in Snowflake. Build batch and near real-time data processing solutions using Apache Spark and Python. Work with structured and unstructured banking datasets stored across S3, NoSQL (e.g., MongoDB, DynamoDB), and relational databases. Ensure data quality, lineage, and observability through logging, testing, and monitoring tools. Support data needs for compliance, regulatory reporting, risk, fraud, and customer analytics. Ensure secure handling of sensitive data aligned with banking compliance standards (e.g., PII masking, role-based access). Collaborate closely with business users, data analysts, and data scientists to deliver production-grade datasets. Implement best practices for code versioning, CI/CD, and environment management Required Skills and Qualifications: 8+ years of experience in data engineering, preferably in banking, fintech, or regulated industries. Hands-on experience with: Snowflake (data modeling, performance tuning, security) dbt (modular SQL transformation, documentation, testing) Airflow (orchestration, DAGs) AWS (S3, Glue, Lambda, Redshift, IAM) Python (ETL scripting, data manipulation) Apache Spark (batch/stream processing using PySpark or Scala) NoSQL databases (e.g., DynamoDB, MongoDB, Cassandra) Strong SQL skills and experience in performance optimization and cost-efficient query design. Exposure to data governance, compliance, and security in the banking industry. Experience working with large-scale datasets and complex data transformations. Familiarity with version control (e.g., Git) and CI/CD pipelines. Preferred Qualifications: Prior experience in banking/financial services Knowledge of Kafka or other streaming platforms. Exposure to data quality tools (e.g., Great Expectations, Soda). Certifications in Snowflake, AWS, or dbt. Strong communication skills and ability to work with cross-functional teams. About Convera Convera is the largest non-bank B2B cross-border payments company in the world. Formerly Western Union Business Solutions, we leverage decades of industry expertise and technology-led payment solutions to deliver smarter money movements to our customers helping them capture more value with every transaction. Convera serves more than 30,000 customers ranging from small business owners to enterprise treasurers to educational institutions to financial institutions to law firms to NGOs. Our teams care deeply about the value we bring to our customers which makes Convera a rewarding place to work. This is an exciting time for our organization as we build our team with growth-minded, result-oriented people who are looking to move fast in an innovative environment. As a truly global company with employees in over 20 countries, we are passionate about diversity; we seek and celebrate people from different backgrounds, lifestyles, and unique points of view. We want to work with the best people and ensure we foster a culture of inclusion and belonging. We offer an abundance of competitive perks and benefits including: Competitive salary Opportunity to earn an annual bonus. Great career growth and development opportunities in a global organization A flexible approach to work #LI-AK1

As an Enterprise Account Executive at Coursera, your mission is to consistently surpass quarterly and annual sales quotas by leveraging your expertise in prospecting, developing, and closing new enterprise sales opportunities. Crafting strategic territory plans, you will proactively drive revenue growth within your designated area, focusing on acquiring net new logos to expand Courseras market presence. Drawing on your in-depth knowledge of industry trends, you will consult and support prospective customers, ensuring Courseras solutions align seamlessly with their needs. Additionally, youll serve as the voice of Courseras Enterprise partners, sharing valuable customer-driven insights across our organization, including product, engineering, business development, and legal teams. Together, we are redefining how individuals acquire knowledge and skills, and we invite you to be a driving force as we transform lives through learning. Responsibilities: Effectively prospect, develop, and close new enterprise sales opportunities; create strategic territory plan and drive revenue within that territory Drive new business with net new logos Meet and exceed all quarterly and annual sales quotas Accurately forecast quarterly and monthly sales Use in-depth knowledge of industry trends to consult and support prospective customers Be the voice of Coursera s Enterprise partners, sharing customer-driven insights across Coursera, including product, engineering, business development, and legal Basic Qualifications: 8+ years experience selling Enterprise SaaS or other solutions to universities, colleges, education systems, or equivalent accounts Demonstrated experience selling enterprise solutions into large/complex accounts and over-achieving quarterly and annual sales targets Business development and revenue closing sales experience Ability to travel 25% of the time to customer meetings, trade shows, and events as needed Preferred Qualifications: Enterprise sales experience at a SaaS company Experience consistently exceeding quota of $1 Million+, with proven success in accurately forecasting targets, and achieving sales commits Ability to hold your own in meetings with president, provosts, and deans from prospective partners and speak as a thought leader and visionary in the learning space Strong written and verbal communication skills, strong analytical and creative problem solving abilities, excellent interpersonal skills, organizational, and operational skills Entrepreneurial drive and ability to work autonomously in fast moving, quickly-changing environments

Job Description: Role Title: Manager, Analytics (L09) Company Overview: Synchrony (NYSE: SYF) is a premier consumer financial services company delivering one of the industry s most complete digitally enabled product suites. Our experience, expertise and scale encompass a broad spectrum of industries including digital, health and wellness, retail, telecommunications, home, auto, outdoors, pet and more. We have recently been ranked #2 among India s Best Companies to Work for by Great Place to Work. We were among the Top 50 India s Best Workplaces in Building a Culture of Innovation by All by GPTW and Top 25 among Best Workplaces in BFSI by GPTW. We have also been recognized by Ambition Box Employee Choice Awards among the Top 20 Mid-Sized Companies, ranked #3 among Top Rated Companies for Women, and Top-Rated Financial Services Companies. Synchrony celebrates ~51% women diversity. We offer Flexibility and Choice for all employees and provide best-in-class employee benefits and programs that cater to work-life integration and overall well-being. We provide career advancement and upskilling opportunities, focusing on Advancing Diverse Talent to take up leadership roles. Organizational Overview: Our Analytics organization comprises of data analysts who focus on enabling strategies to enhance customer and partner experience and optimize business performance through data management and development of full stack descriptive to prescriptive analytics solutions using cutting edge technologies thereby enabling business growth Role Summary/Purpose: Manager, Analytics -TJX (Individual Contributor) role is a part of India Analytics Hub (IAH). The role will deliver on business and organizational priorities, in close collaboration with US Analytics and IAH teams. The role involves developing analytical solutions across marketing planning, measurement and optimization, customer analytics, targeting & segmentation, forecasting, etc. areas to identify growth opportunities , optimize business strategies and derive actionable insights across customer journey. Key Responsibilities: Support the TJX Analytics leader and onshore analytics and marketing teams in the design and execution of marketing campaigns and tests for the TJX portfolio Own end-to-end daily, weekly, and monthly reports, report findings and open items to leadership. Proactively propose, initiate, execute and own strategic projects that create business impact. Regularly communicate with stakeholders on Projects Understand requirements and deliver on ad hoc requests whenever required Facilitate meetings with US Portfolio analytics team, including making presentations as necessary Proactively leverage expertise in the larger offshore team to deliver impact for TJX Encourage use of the latest tools and techniques in the industry and leverage for portfolio growth. Responsible and committed to the last mile execution of projects. Contribute to internal initiatives, perform other duties and/or special projects, as assigned Required Skills/Knowledge: Degree in Statistics, Mathematics, Economics, Engineering, or any other quantitative streams with 2+ years of hands-on relevant analytics/data science experience. Minimum 4+ years of relevant work experience in lieu of specified degre Minimum 2 years of experience in building analytical solutions to drive strategy with positive outcomes and measuring impact Minimum 2 years of hands-on SQL and SAS programming experience with an ability to leverage advanced algorithms and be efficient in handling complex/large data sets Good working knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc. Advanced proficiency in MS-Excel, MS-PowerPoint and Tableau with superior data visualization and story boarding skills Ability to work in matrix organization, make and enable data driven decisions Demonstrated ability to manage complexity/ambiguity and multiple initiatives Proven ability to work independently, yet as key member and contributor to a broader team Experience in credit card or financial services will be a plus Desired Skills/Knowledge: Strong verbal and written communication skills; ability to engage effectively with a broad range of audiences including senior business leaders, other senior analytics leaders, and highly technical talent Proven hands-on experience utilizing SAS and SQL; Experience with open-source tools such as R and Python a plus; Experience with Tableau a plus Ability to influence business strategies and decisions based on analytical insights Experience with modeling/forecasting, and strong understanding of targeting and segmentation Knowledge/experienced with digital analytics tool like Adobe Analytics, Google Analytics etc. Eligibility Criteria: Degree in Statistics, Mathematics, Economics, Engineering, or any other quantitative streams with 2+ years of hands-on relevant analytics/data science experience. Minimum 4+ years of relevant work experience in lieu of specified degree Work Timings: This role qualifies for Enhanced Flexibility and Choice offered in Synchrony India and will require the incumbent to be available between 06:00 AM Eastern Time 11:30 AM Eastern Time (timings are anchored to US Eastern hours and will adjust twice a year locally). This window is for meetings with India and US teams. The remaining hours will be flexible for the employee to choose. Exceptions may apply periodically due to business needs. Please discuss this with the hiring manager for more details . For Internal Applicants : Understand the criteria or mandatory skills required for the role, before applying. Inform your Manager or HRM before applying for any role on Workday. Ensure that your Professional Profile is updated (fields such as Education, Prior experience, Other skills) and it is mandatory to upload your updated resume (Word or PDF format) Must not be any corrective action plan (Formal/Final Formal, LPP) L4 to L7 Employees who have completed 12 months in the organization and 12 months in current role and level are only eligible. L8+ Employees who have completed 18 months in the organization and 12 months in current role and level are only eligible. L4+ employees can apply. Grade/Level: 09 Job Family Group: Data Analytics

Job Description: This is an exciting opportunity to be a part of the team that develops foundational capabilities enabling Enhanced analytics and measurement, critical to shaping global digital adoption and experience strategies. The incumbent will be part of the Customer Analytics team. He/she will be an individual contributor working on the customer analytics space as the primary responsibility. He/she would work with data to help their clients make better business decisions. Using techniques from a range of disciplines, he/she would analyze data to describe, predict, and improve business performance. Experience in any of the business domains: CPG, Retail, Marketing Analytics, Customer Analytics, Digital Marketing, eCommerce, would be beneficial. Key Responsibilities: Design and build scalable machine learning models to solve real-world business problems. Translate business requirements into clear analytical solutions using data science techniques. Write optimized SQL queries to extract, manipulate, and analyze large datasets. Develop and deploy production-ready code using Python. Collaborate with data engineers, product managers, and business stakeholders to build end-to-end data products. Communicate complex findings in a clear, concise manner to non-technical stakeholders. Continuously monitor and improve the performance of deployed models. Mentor junior data scientists and review their code/models as needed. Requirements/Skill sets: Bachelor's or Master s degree in Computer Science, Statistics, Mathematics, Engineering, or a related field. 5+ years of hands-on experience in data science, analytics, or machine learning. Expert proficiency in Python, including libraries like pandas, scikit-learn, NumPy, etc. Strong experience in SQL for data extraction and transformation. Proven ability to build and evaluate supervised and unsupervised ML models. Experience with model deployment, version control (e.g., Git), and working in cloud environments (AWS/GCP/Azure). Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Nice to Have: AI frameworks to develop LLM-based solutions or Agentic solutions in Python. Education and Experience: Bachelors or Masters (5+7 Years) in Computer Science or MBA with Bachelor in technical. Experience of 5 -7 Years in data analytics companies with exposure to data science/ business data warehousing & dashboarding , Computer Vision projects in either one or more of these domains: Retail, Ecommerce, FMCG industry.

Function Description: The Analytics, Investment Optimization and Marketing Enablement (AIM) team a part of Global Commercial Services Marketing group within American Express is the analytical engine that enables the Global Commercial Card & Non-Card business. How will you make an impact in this role? This role, based out of Gurugram, will be a part of the AIM team and will be responsible for Global Commercial Middle Market Card Cross sell and engagement analytics. The team specifically focuses on spend engagement analytics via sales channels. The incumbent would be responsible for powering sales channels with intelligent targeting and lead prioritization, building that improve the effectiveness of sales outreach leveraging ML/ AI to devise intelligent solutions. The role requires a strong background in data analytics, and commercial card product knowledge. The position is part of a highly collaborative environment, interacting with and influencing partners across the Global Commercial Service s business at American Express Key Responsibilities include: Drives data driven strategies in commercial customer analytics, cross sell and sales analytics, merchant analytics, and measurement leveraging SQL, python, and other ML tools Support and enable the Commercial Sales channels with actionable, insightful analytical solutions that drive customer engagement and spend uplift Partner with functional leaders, Strategic Business Partners and Senior leaders to assess and identify opportunities for better customer engagement, and revenue growth Leverage strong statistical techniques to analyze customer behavior, sales performance, and channel engagement. Identify patterns, trends, and key drivers to enhance targeting and outreach strategies Excellent communication skills with the ability to engage, influence, and encourage partners and collaborators to drive collaboration and alignment Exceptional execution skills be able to resolve issues, find opportunities, and define success metrics and make things happen. Drive Automation and ongoing refinement of analytical frameworks Willingness to challenge the status quo; breakthrough thinking to generate insights, alternatives and opportunities for business success Qualifications Degree or equivalent experience in quantitative field (e.g. Finance, Engineering, Mathematics, Computer Science or Economics) Strong statistical and analytical skills with the ability to apply both quantitative methods and business skills to create insights and drive results Ability to work independently and across a matrix organization partnering with business partners, functional owners, capabilities, and technology teams Strong programming skills and technical knowledge in SQL, Python are preferred. Experience with Big Data programming is a plus Ability to prioritize and manage several concurrent projects through collaboration across teams/geographies We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:

Job Description Senior Customer Fulfillment Coordinator Location - Mumbai Job Purpose Manage Customer fulfilment daily operational activities execution (Sales & Operations Execution) and communicates to internal stakeholders Responsible for the effectiveness of the overall Customer Fulfilment process Support SC Customer Engagement team with analytics and reporting Responsible for day-to-day coordination & governance with O2C team or of any local outsourced back-office activity. Key Accountabilities Manage S&OE Process Execute proactive and reactive mid & short-term stock management in the legacy systems Share potential shortage & OOS identified for following 4 weeks to planning & Customer Fulfilment management Apply short-term stock management to steer Stock in Trade Gather all OOS issues impacting customers in order to manage communication with the customer. Customer Fulfilment Coordination Decision on external and internal mitigation actions (delay deliveries, modify order quantity, propose substitution) Provide product allocation per customer in a shortage situation Defines backorders policy and prioritization decisions Determine the orders that are eligible for fulfilment using short shelf-life (batch determination & customer agreement) Apply short-term stock management to drive SIT Determine the maximum threshold for OOS and shortage: Customer accepted quantities, PAL, MOQ definition Manage contact with the warehouse or 3PL relating to necessary fulfilment activities Enables customer communications via SC Customer Engagement Process Effectiveness & Analytics Monitor the E2E fulfilment process running a defined set of reports and analysis to detect issues/inefficiencies and drive continuous improvements Communicate root cause analysis of issues found Executes additional process analysis when requested Prepare/extract KPIs for fulfilment processes (S&OE, Revisit, RCA OTIF) Support month end closing (S&OE landing) to ensure all steps defined in monthly sales objective are properly executed Prepare SISO & SIT consolidation datas & analysis and documentation Manage VMI customer analytics & replenishment (where relevant) Collaboration with SC Customer Engagement team Supports necessary SC customer collaborative activity driven by SC Customer Engagement Attends SC Operational meetings with VIP customers when necessary Outsourced Back Office or 3PL/4PL Activity Governance (where relevant) Orchestration, governance & escalated activities of outsourced O2C or 3PL/4PL activity. Compliance Compliance routines & O2C monitoring (incl. SOPs review/ creation, compensatory controls & action plans) Lead review of control points such as SO modification, Returns/RUD and all related controls under order to cash. Beware of Job Scams: Sanofi Fraud Notice: As you conduct your job search, please beware of the possibility that scammers may post fraudulent job openings or send fraudulent communications (email, SMS, WhatsApp or Messenger messages pretending to be from Sanofi) regarding potential job postings or offers in an attempt to encourage the job seeker to disclose financial or personal information. We do not make any payments to or ask candidates for any fees as part of the application process. In most cases you can expect to hear directly from a member of our recruiting team with a legitimate @sanofi.com email address, but you may receive communications from one of our recruiting partners as well. Consequently, you should always conduct research to ensure a posting and/or offer is legitimate and you should never provide personal or financial information unless you are certain that the request is legitimate. If you are concerned that an offer of employment with Sanofi might be a scam, please verify by searching for the posting on the Careers webpage

Its fun to work in a company where people truly BELIEVE in what they are doing! Were committed to bringing passion and customer focus to the business. Fractal is one of the most prominent players in the Artificial intelligence space. Fractals mission is to power every human decision in the enterprise and brings Al, engineering, and design to help the worlds most admire Fortune 500 companies. Fractals products include Qure.ai to assist radiologists in making better diagnostic decisions, Crux Intelligence to assist CEOs and senior executives make better tactical and strategic decisions, Theremin.ai to improve investment decisions, Eugenie.ai to find anomalies in high-velocity data, Samya.ai to drive next-generation Enterprise Revenue Growth Manage- ment, Senseforth.ai to automate customer interactions at scale to grow top-line and bottom-line and Analytics Vidhya is the largest Analytics and Data Science community offering industry-focused training programs. Fractal has more than 3600 employees across 16 global locations, including the United States, UK, Ukraine, India, Singapore, and Australia. Fractal has consistently been rated as Indias best companies to work for, by The Great Place to Work Institute, featured as a leader in Customer Analytics Service Providers Wave 2021, Computer Vision Consultancies Wave 2020 & Specialized Insights Service Providers Wave 2020 by Forrester Research, a leader in Analytics & Al Services Specialists Peak Matrix 2021 by Everest Group and recognized as an "Honorable Vendor" in 2022 Magic Quadrant for data & analytics by Gartner. For more information, visit fractal.ai (Senior Data Scientist Generative AI) We re looking for a passionate Senior Data Scientist Generative AI who thrives at the intersection of AI research & real-world applications. This role is ideal for someone who s eager to build, experiment & scale LLM-powered solutions in enterprise environments. This role blends hands-on Problem solving, Research, Engineering & collaboration across multidisciplinary team driving innovation across industries/domains. Responsibilities: Design and implement advanced solutions utilizing Large Language Models (LLMs). Demonstrate self-driven initiative by taking ownership and creating end-to-end solutions. Conduct research and stay informed about the latest developments in generative AI and LLMs. Develop and maintain code libraries, tools, and frameworks to support generative AI development. Participate in code reviews and contribute to maintaining high code quality standards. Engage in the entire software development lifecycle, from design and testing to deployment and maintenance. Collaborate closely with cross-functional teams to align messaging, contribute to roadmaps, and integrate software into different repositories for core system compatibility. Possess strong analytical and problem-solving skills. Demonstrate excellent communication skills and the ability to work effectively in a team environment. Responsibilities: Design and implement advanced solutions utilizing Large Language Models (LLMs). Demonstrate self-driven initiative by taking ownership and creating end-to-end solutions. Conduct research and stay informed about the latest developments in generative AI and LLMs. Develop and maintain code libraries, tools, and frameworks to support generative AI development. Participate in code reviews and contribute to maintaining high code quality standards. Engage in the entire software development lifecycle, from design and testing to deployment and maintenance. Collaborate closely with cross-functional teams to align messaging, contribute to roadmaps, and integrate software into different repositories for core system compatibility. Possess strong analytical and problem-solving skills. Demonstrate excellent communication skills and the ability to work effectively in a team environment. Primary Skills: Natural Language Processing (NLP): Hands-on experience in use case classification, topic modeling, Q&A and chatbots, search, Document AI, summarization, and content generation. AND/OR Computer Vision and Audio: Hands-on experience in image classification, object detection, segmentation, image generation, audio, and video analysis. Generative AI: o Proficiency with SaaS LLMs, including Lang chain, llama index, vector databases, Prompt engineering (COT, TOT, ReAct, agents). Experience with Azure OpenAI, Google Vertex AI, AWS Bedrock for text/audio/image/video modalities. o Familiarity with Open-source LLMs, including tools like TensorFlow/Pytorch and huggingface. Techniques such as quantization, LLM finetuning using PEFT, RLHF, data annotation workflow, and GPU utilization. Cloud: Hands-on experience with cloud platforms such as Azure, AWS, and GCP. Cloud certification is preferred. Application Development: Proficiency in Python, Docker, FastAPI/Django/Flask, and Git

Fractal is one of the most prominent players in the Artificial intelligence space. Fractals mission is to power every human decision in the enterprise and brings Al, engineering, and design to help the worlds most admire Fortune 500 companies. Fractals products include Qure.ai to assist radiologists in making better diagnostic decisions, Crux Intelligence to assist CEOs and senior executives make better tactical and strategic decisions, Theremin.ai to improve investment decisions, Eugenie.ai to find anomalies in high-velocity data, Samya.ai to drive next-generation Enterprise Revenue Growth Manage- ment, Senseforth.ai to automate customer interactions at scale to grow top-line and bottom-line and Analytics Vidhya is the largest Analytics and Data Science community offering industry-focused training programs. Fractal has more than 3600 employees across 16 global locations, including the United States, UK, Ukraine, India, Singapore, and Australia. Fractal has consistently been rated as Indias best companies to work for, by The Great Place to Work Institute, featured as a leader in Customer Analytics Service Providers Wave 2021, Computer Vision Consultancies Wave 2020 & Specialized Insights Service Providers Wave 2020 by Forrester Research, a leader in Analytics & Al Services Specialists Peak Matrix 2021 by Everest Group and recognized as an "Honorable Vendor" in 2022 Magic Quadrant for data & analytics by Gartner. For more information, visit fractal.ai (Senior Data Scientist Generative AI) We re looking for a passionate Senior Data Scientist Generative AI who thrives at the intersection of AI research & real-world applications. This role is ideal for someone who s eager to build, experiment & scale LLM-powered solutions in enterprise environments. This role blends hands-on Problem solving, Research, Engineering & collaboration across multidisciplinary team driving innovation across industries/domains. Responsibilities: Design and implement advanced solutions utilizing Large Language Models (LLMs). Demonstrate self-driven initiative by taking ownership and creating end-to-end solutions. Conduct research and stay informed about the latest developments in generative AI and LLMs. Develop and maintain code libraries, tools, and frameworks to support generative AI development. Participate in code reviews and contribute to maintaining high code quality standards. Engage in the entire software development lifecycle, from design and testing to deployment and maintenance. Collaborate closely with cross-functional teams to align messaging, contribute to roadmaps, and integrate software into different repositories for core system compatibility. Possess strong analytical and problem-solving skills. Demonstrate excellent communication skills and the ability to work effectively in a team environment. Responsibilities: Design and implement advanced solutions utilizing Large Language Models (LLMs). Demonstrate self-driven initiative by taking ownership and creating end-to-end solutions. Conduct research and stay informed about the latest developments in generative AI and LLMs. Develop and maintain code libraries, tools, and frameworks to support generative AI development. Participate in code reviews and contribute to maintaining high code quality standards. Engage in the entire software development lifecycle, from design and testing to deployment and maintenance. Collaborate closely with cross-functional teams to align messaging, contribute to roadmaps, and integrate software into different repositories for core system compatibility. Possess strong analytical and problem-solving skills. Demonstrate excellent communication skills and the ability to work effectively in a team environment. Primary Skills: Natural Language Processing (NLP): Hands-on experience in use case classification, topic modeling, Q&A and chatbots, search, Document AI, summarization, and content generation. AND/OR Computer Vision and Audio: Hands-on experience in image classification, object detection, segmentation, image generation, audio, and video analysis. Generative AI: o Proficiency with SaaS LLMs, including Lang chain, llama index, vector databases, Prompt engineering (COT, TOT, ReAct, agents). Experience with Azure OpenAI, Google Vertex AI, AWS Bedrock for text/audio/image/video modalities. o Familiarity with Open-source LLMs, including tools like TensorFlow/Pytorch and huggingface. Techniques such as quantization, LLM finetuning using PEFT, RLHF, data annotation workflow, and GPU utilization. Cloud: Hands-on experience with cloud platforms such as Azure, AWS, and GCP. Cloud certification is preferred. Application Development: Proficiency in Python, Docker, FastAPI/Django/Flask, and Git Not the right fitLet us know youre 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!