4036 R Jobs - Page 48

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Optum’s Applied AI team is seeking an experienced and pragmatic Lead Data Scientist to drive the end-to-end ML lifecycle, from problem definition to robust, scalable model deployment and continuous improvement. This role demands deep expertise in machine learning, particularly with advanced transformer models and Large Language Models (LLMs), applied to complex domains such as clinical document understanding and semantic search. Primary Responsibilities: Own the end-to-end data science lifecycle – from problem definition and experimentation to deployment, monitoring, and continuous improvement Design and deploy robust, explainable, and scalable ML models for clinical document understanding, named entity recognition, context disambiguation, and semantic search across prospective and retrospective use cases Lead model development with a focus on production-readiness, incorporating solid MLOps, reproducibility, and experimentation practices Diagnose and optimize model performance, mitigate bias, and ensure analytical integrity, accuracy, and operational efficiency Work hands-on with multi-modal transformer models for tasks like NER, handwriting and form understanding, and document classification Leverage LLMs and SLMs for clinical reasoning, automated annotation, data generation, and downstream distillation Collaborate with cross-functional teams – including ML engineers, annotators, and clinical domain experts – to translate business challenges into deployable AI solutions Implement automated data labeling pipelines using techniques like active learning, weak supervision, and human-in-the-loop systems Ensure reproducibility and operational excellence through Git, DVC, CI/CD pipelines, and orchestration tools (e.g., Airflow, Kafka) Mentor and guide junior scientists and engineers, lead technical design reviews, and set best practices for model architecture and evaluation Continuously identify and close gaps in the ML platform, proposing and implementing innovative solutions to improve performance, scalability, and reliability Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Bachelor’s degree in Computer Science or adjacent field Advanced degree in a field that emphasizes the use of data science/statistics techniques (e.g., Computer Science, Applied Mathematics, or a field with direct NLP application) 5+ years of experience in Data Science with a focus on Machine Learning and Natural Language Processing Solid understanding of machine learning algorithms, NLP principles, and data modeling principles Proficiency in Python, R, and SQL. Experience in NLP libraries such as NLTK, SpaCy, and BERT Proven excellent Communication Skills Proven flexibility to provide support during critical business periods Proven ability to interpret and present complex data in various formats. Proven solid leadership skills, ability to meet deadlines, and work independently. An analytical mindset for addressing complex business needs Proven positive team player with a drive to learn and contribute to achieving results Willingness to work in varying shifts At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission. #NJP External Candidate Application Internal Employee Application

The opportunity We are looking for a Senior Consultant/Consultant Analytics with expertise in one of the industries across Banking, Insurance (not mandatory). Your key responsibilities - Develop Analytics Based Decision Making Frameworks for clients across Banking, Insurance sector - Project Management - Client Management - Support business development and new analytics solution development activities Skills and attributes for success - Domain expertise in one of the industries across Banking, Insurance (not mandatory) - Statistical modelling (Logistic / Linear regression, GLM modelling, Time-series forecasting, Scorecard development etc.) - Hands-on experience in one or more Statistics tool - SAS, Python & R - Experience in Tableau, Qlikview would be a plus - Data mining experience - Clustering, Segmentation - Machine learning and Python experience would be a plus To qualify for the role you must have - B Tech from top tier engineering schools or Masters in Statistics / Economics from the top universities - Minimum 6 years of relevant experience, with minimum 1 year of managerial experience for Senior Consultant - Minimum 1 year for Associate Consultant; Minimum 3 years for Consultant Ideally you'll also have - Strong communication, facilitation, relationship-building, presentation, and negotiation skills - Be highly flexible, adaptable, and creative - Comfortable interacting with senior executives (within the firm and at the client) - Strong leadership skills and supervisory responsibility What we look for We seek individuals with the ability to work in a collaborative way to provide services across multiple client departments while adhering to commercial and legal requirements. You will need a practical approach to solving issues and complex problems with the ability to deliver insightful and practical solutions. What working at EY offers EY is committed to being an inclusive employer and we are happy to consider flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service whilst allowing you to build your career without sacrificing your personal priorities. While our client-facing professionals can be required to travel regularly, and at times be based at client sites, our flexible working arrangements can help you to achieve a lifestyle balance. About EY As a global leader in assurance, tax, transaction, and advisory services, we're using the finance products, expertise, and systems we've developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities, and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we'll make our ambition to be the best employer by 2020 a reality. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible,

You should have 4-7 years of experience in IT infrastructure and operations, with at least 3 years of hands-on experience in AI/ML technologies in an operational context. Your expertise should include AI OPS Solution designing, IT infrastructure, and Automation. It is important that you possess hands-on experience in developing and implementing AI solutions using AIOps platforms and tools such as BMC Helix, Dynatrace, and Splunk. Prior experience with AI/ML algorithms and libraries, specifically PYTORCH, is required. Additionally, you should have a strong understanding of cloud platforms like AWS, Azure, GCP, and container orchestration using Kubernetes. Proficiency in programming languages such as Python, R, or other data science languages is essential. Experience with data pipelines, time-series databases, and monitoring tools is also necessary. Familiarity with ITIL processes and service management frameworks is a plus. Preferred qualifications for this role include experience with AI Ops platforms and observability tools, certifications in AI/ML, strong analytical and problem-solving skills, as well as excellent communication and stakeholder management abilities. If you meet these requirements and qualifications, please share your resume at deepika.eaga@quesscorp.com.,

As a Consultant in Performance Analytics at Mastercard, you will be part of the Advisors & Consulting Services group, which specializes in Strategy & Transformation, Business Experimentation, Marketing, and Program Management. Your role will involve translating data into valuable insights for clients by utilizing both Mastercard and customer data to create, implement, and expand analytical solutions. You will apply qualitative and quantitative analytical techniques along with enterprise applications to synthesize analyses into clear recommendations and impactful narratives. In this position, you will have the opportunity to contribute creatively to various projects across different industries and problem statements. You will play a key role in developing analytics strategies and programs for regional and global clients, unlocking client value through data and technology solutions. Collaborating closely with the Mastercard team, you will gain a deep understanding of clients" needs, agendas, and risks, establishing yourself as a trusted and reliable partner to client analysts and managers. Your responsibilities will also include collaborating with senior project delivery consultants to identify key findings, prepare effective presentations, and deliver recommendations to clients. Independently identifying trends, patterns, issues, and anomalies in your area of analysis, you will structure and synthesize your own analysis to highlight relevant findings. Leading internal and client meetings, contributing to project management, and enhancing the firm's intellectual capital will all be part of your role. To qualify for this position, you should have an undergraduate degree with experience in data and analytics related to business intelligence and descriptive, predictive, or prescriptive analytics. Proficiency in data analytics software such as Python, R, SQL, and SAS is essential, along with advanced skills in Word, Excel, and PowerPoint. Strong communication skills in English and the local office language, if applicable, are required. Additionally, you should be eligible to work in the country where you are applying and be able to apply for travel visas as needed for business trips. Preferred qualifications for this role include additional experience in building, managing, and maintaining database structures, working with data visualization tools like Tableau and Power BI, or utilizing the Hadoop framework and coding with Impala, Hive, or PySpark. You should also be adept at analyzing large datasets to provide recommendations through descriptive analytics and business intelligence, managing tasks in a collaborative team environment, and identifying problems to implement effective solutions. Relevant industry expertise will be beneficial. Furthermore, as part of your corporate security responsibility at Mastercard, you are expected to abide by security policies, ensure the confidentiality and integrity of accessed information, report any suspected security violations, and complete mandatory security trainings as per Mastercard's guidelines. Your commitment to information security is crucial in protecting Mastercard assets, information, and networks. For more information on different specializations and levels available in consulting at Mastercard, please visit: [Consulting Specializations at Mastercard](https://careers.mastercard.com/us/en/consulting-specializations-at-mastercard),

As a member of the Sanctions team within the Global Financial Crimes (GFC) program at FIS, you will play a key role in supporting the Senior Director to establish a strong tech and data knowledge base, as well as assist in system implementations across Global Financial Crimes Compliance. Your responsibilities will include writing documentation on sanctions workflows, standards, guidelines, testing procedures, taxonomies, and operating procedures. You will also be tasked with developing and optimizing complex SQL queries to extract, manipulate, and analyze large volumes of financial data to ensure data accuracy and integrity. Additionally, you will be responsible for creating and maintaining comprehensive data lineage documentation, contributing to the development and maintenance of master data management processes, and generating regular reporting on Financial Crimes Data Governance KPIs, metrics, and activities. Your role will involve monitoring LOB compliance activities, verifying regulatory compliance deadlines are met, and tracking product data compliance deficiencies to completion. To excel in this role, you should possess a Bachelor's or Master's degree in a relevant field such as Computer Science, Statistics, or Engineering, along with 1-3 years of experience in the regulatory compliance field. Previous experience as a Data Analyst in the financial services industry, particularly with a focus on Financial Crimes Compliance, is highly desirable. Proficiency in SQL, data analysis tools, and experience with data governance practices is essential. Strong analytical, problem-solving, and communication skills are key to success in this position. If you have experience in regulatory oversight of high-risk product lines containing complex banking functions or are considered a subject matter expert in sanctions regulatory compliance, it would be considered an added bonus. At FIS, we offer a flexible and creative work environment, diverse and collaborative atmosphere, professional and personal development resources, opportunities for volunteering and supporting charities, as well as competitive salary and benefits. FIS is committed to protecting the privacy and security of all personal information processed to provide services to clients. Our recruitment model primarily relies on direct sourcing, and we do not accept resumes from recruitment agencies that are not on our preferred supplier list. We take pride in our commitment to diversity, inclusion, and professional growth, and we invite you to be part of our team to advance the world of fintech.,

Job description We have a vacancy with below details, Role : Marketing technology audience analyst Designations: AVP Experience -5-10 Notice Period : Immediate to 90 days Work Mode : WFH(Remote) Shift : 2-11Pm Working Days : 5 days Mandatory Skills : Digital Marketing, Digital, Digital campaign,B2B ,B2C,Digital Platform Tools any 3( CDP, DMP, DV360, Google Analytics, Adobe Analytics, Neustar, LiveRamp, Dynamic Yield, Optimizely, Adobe Audience Manager, Salesforce,), analytic programming languages including Python, SQL, Java, SAS (any 2 tools) Required Skills/Knowledge: Bachelor's Degree with 5+ years of experience with mining and analyzing digital audience performance, or, in lieu of a degree, minimum of 7+ years of experience with mining and analyzing digital audience performance in financial domain 5+ years experience working in enterprise-level data sciences, analytics and/or customer intelligence, including: 3+ years of professional digital marketing experience, working directly within Digital Platforms (ex. CDP, DMP, DV360, Google Analytics, Adobe Analytics, Neustar, LiveRamp, Dynamic Yield, Optimizely, Adobe Audience Manager, Salesforce, etc) Desired Characteristics: Proven experience executing analyses with massive data sets, complex data structures and multi-variate campaign strategies. Expert proficiency with leading-edge data mining techniques with analytic programming languages including Python, SQL, Java, SAS and others Leadership experience working with cross-functional partners (i.e., Media, Client Marketing, IT, Enterprise Operations) to deliver against mutual goals and ensure alignment of priorities and requirements. Working knowledge of analytic platforms and tools such as Hadoop, R, Hive as well as BI tools such as Tableau Operational understanding in areas such as probability and statistics; familiarity with machine learning and artificial intelligence a plus. Experience with compiling and analyzing data from paid media and digital marketing campaigns to report out actionable results Ability to provide wing-to-wing analytic activities data aggregation, analysis preparation, data interpretation and presenting strategic recommendations to client/product teams Expert proficiency with leading-edge data mining techniques and analytic platforms (including but not limited to Python and R) to feed a strong data management foundation Creative thinker with successful history of synthesizing insights to inform business decisions and lead strategic discussions; providing innovative thought leadership and developing actionable outcomes with tangible results Highly motivated, assertive self-starter with the ability to work autonomously or as a strong team participant Experience in Agile methodologies and processes a plus Experience with consumer financial services organizations, preferably with exposure to credit card marketing or retail marketing, consumer protection, privacy and related laws and policies. . Eligibility Criteria: Bachelor's Degree with 5+ years of experience with mining and analyzing digital audience performance, or, in lieu of a degree, minimum of 7+ years of experience with mining and analyzing digital audience performance in financial domain

We are seeking a highly analytical and strategic professional to develop and implement the Power Curve Strategy Model (PCSM) to optimize business performance, risk assessment, and decision-making processes. The ideal candidate will leverage data-driven insights to identify performance inflection points and create strategies that maximize efficiency and profitability. Key Responsibilities: Develop & Implement PCSM: Design, model, and optimize power curve strategies to enhance business growth, efficiency, and risk mitigation. Data Analysis & Insights: Use statistical modeling, machine learning, and business intelligence tools to analyze trends and determine power curve efficiency. Strategic Planning: Collaborate with leadership to integrate PCSM insights into business strategy, pricing models, and operational planning. Performance Optimization: Identify key inflection points on the power curve and develop action plans to improve business outcomes. Risk Management: Assess risks and uncertainties related to strategic decisions and develop mitigation plans. Cross-functional Collaboration: Work with finance, marketing, and operations teams to align PCSM with company objectives. Reporting & Visualization: Present findings through dashboards, reports, and executive briefings. Qualifications & Skills: Bachelor's/Master's in Business, Economics, Data Science, Finance, Engineering, or a related field Experience with statistical modeling, predictive analytics, or machine learning Proficiency in Excel, Python, R, SQL, or BI tools (Tableau, Power BI, etc.) Strong problem-solving, strategic thinking, and decision-making skills Ability to communicate complex data insights in a clear and actionable manner Experience in strategy consulting, risk analysis, or financial modeling is a plus

Job description Novo Nordisk Global Business Services (GBS), India Department - Centralised Monitoring Unit (CMU)- Bangalore Does your motivation come from challenges and working in a dynamic environment Do you thrive in a working environment where close collaboration with key stakeholders and strategic alignment is essential Do you have a can-do attitude with continuous improvement as one of your career objectives Then we might have the right position for you. Apply now and join a growing team, working in an international environment. About the department The Centralised Monitoring Unit (CMU)- Bangalore, is a department within the Global Trial Portfolio area. It is a perfect blend of skilled medical professionals (Medical reviewers), technical programmers (Functional programmers, statistical monitors) and Medical Illustrators. Medical reviewers actively involved in Risk based medical monitoring in collaboration with the medical specialists from Denmark, with focus on ensuring overall patient safety and wellbeing of all clinical trial participants, by ensuring compliance to protocol and identifying potential clinically significant outliers that requires medical attention and medical data cleaning. The Functional Programmers develop operational visualisations in data visualization tools to support the trial teams on proactive centralised monitoring and Statistical Monitors perform detection of unusual data patterns, systematic errors and potential lack of compliance or fraud across trials. Medical Illustrators are responsible for developing engaging visual content for our clinical meetings. The Position As Central Monitor, an ideal candidate will be responsible for providing inputs in defining standard and trial specific key risk indicators and performing ongoing monitoring of operational risks. Ensure both standard and trial specific Key Risk Indicators (KRI's) impacting patient safety and data quality and regulatory compliance are appropriately defined as per protocol, monitoring strategy etc prior to start of centralised operational monitoring review. Responsible to Perform ongoing centralised operational monitoring activities on assigned studies using vendor platform dashboards/outputs in accordance with NN SOPs, ICH/GCP, regulatory guidelines & directives. Provide inputs to applications, databases and systems used to monitor operational data. Responsible for communication and findings of operational review to relevant stakeholders to enable decision making. Act as primary contact for relevant stakeholders and participate in project meetings for assigned centralized monitoring studies . Prior experience with RBQM (Risk-Based Quality Management) and field monitoring as a CRA is desirable. Familiarity with analytical tools is preferred, as well as experience using SAS, Python, R, and SQL. Contribute to discussions around share learnings and practices with wider CMU department colleagues and with other relevant stakeholders Maintain knowledge of and act in compliance with global and local SOPs, GCP and other regulatory requirements. Qualifications: Minimum of bachelor's degree in life science/scientific or health care discipline. Above 3 years of relevant clinical research experience with good knowledge of drug development process and risk-based quality management principles. Prior CRA/Field Monitoring and analytical tool experience is desirable Skill in aggregate data review and interpretation using visualization/analysis software's Solid understanding of clinical trial design, trial execution and operations. Ability to successfully manage multiple projects and priorities. Good Communication & Presentation skills. Ability to work collaboratively and effectively in a cross functional and culturally diverse teams. Ability to work independently/responsively and with tight deadlines and under pressure. Quality mind-set and strong analytical skills, Strong attention to detail , Proactive and resilient to changes . Interact with colleagues, stakeholders, project members, management in a proactive and professional manner. Working at Novo Nordisk Novo Nordisk is a leading global healthcare company with a 100-year legacy of driving change to defeat serious chronic diseases. Building on our strong legacy within diabetes, we are growing massively and expanding our commitment, reaching millions around the world and impacting more than 40 million patient lives daily. All of this has made us one of the 20 most valuable companies in the world by market cap. Our success relies on the joint potential and collaboration of our more than 72,000 employees around the world. We recognize the importance of the unique skills and perspectives our people bring to the table, and we work continuously to bring out the best in them. Working at Novo Nordisk, we're working toward something bigger than ourselves, and it's a collective effort. Join us! Together, we go further. Together, we're life changing. Contact To submit your application, please upload your CV online (click on Apply and follow the instructions). Deadline 25th July 2025. Disclaimer It has been brought to our attention that there have recently been instances of fraudulent job offers, purporting to be from Novo Nordisk and/or its affiliate companies. The individuals or organizations sending these false employment offers may pose as a Novo Nordisk recruiter or representative and request personal information, purchasing of equipment or funds to further the recruitment process or offer paid trainings. Be advised that Novo Nordisk does not extend unsolicited employment offers. Furthermore, Novo Nordisk does not charge prospective employees with fees or make requests for funding as a part of the recruitment process. We commit to an inclusive recruitment process and equality of opportunity for all our job applicants. We're not your typical healthcare company. In a modern world of quick fixes, we focus on solutions to defeat serious chronic diseases and promote long-term health. Our unordinary mindset is at the heart of everything we do. We seek out new ideas and put people first as we push the boundaries of science, make healthcare more accessible, and treat, prevent, and even cure diseases that affect millions of lives. Because it takes an unordinary approach to drive real, lasting change in health.

Job Description: We are seeking a smart, motivated, and collaborative engineer who is passionate about problem-solving and eager to contribute to a meaningful mission. You will be taking full ownership of challenging problems, working alongside a team of enthusiastic engineers to design solutions. Key Qualifications: A minimum of 2 years of experience in full-stack development or equivalent technologies is required. Essential qualifications include: Demonstrated expertise as a Full Stack Developer, encompassing both front-end and back-end paradigms. Advanced proficiency in contemporary front-end frameworks (e.g., React, Angular, Vue.js). Proven experience with back-end technologies, specifically Python or JavaScript. Comprehensive understanding of relational (SQL) and non-relational (NoSQL) database systems. Extensive experience in API integration and a profound comprehension of HTTP(S) protocols and RESTful architectural principles. Familiarity with DevOps methodologies and Continuous Integration/Continuous Deployment (CI/CD) pipelines. Practical experience with microservices architecture. Proficiency in containerization and orchestration technologies (Docker, Kubernetes). Experience in the development and implementation of authorization modules for server-client architectures. Exceptional problem-solving and analytical capabilities. Superior communication and leadership acumen. Nice To Have: Familiarity with multithreading and multiprocessing concepts in Python. Experience with authentication and authorization standards, specifically KeyCloak and JWT. Familiarity with geospatial mapping libraries such as Leaflet or MapLibre. Experience with Geographic Information System (GIS) applications (e.g., GeoServer, QGIS).

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on , , , and . Inviting applications for the role of Principal Consultant-Data Scientists with AI and Generative Model experience! We are currently looking for a talented and experienced Data Scientist with a strong background in AI, specifically in building generative AI models using large language models, to join our team. This individual will play a crucial role in developing and implementing data-driven solutions, AI-powered applications, and generative models that will help us stay ahead of the competition and achieve our ambitious goals. Responsibilities Collaborate with cross-functional teams to identify , analyze , and interpret complex datasets to develop actionable insights and drive data-driven decision-making. Basics of Statistics Experience in ML models Linear Regression, Logistic regression, Random forest etc Design, develop, and implement advanced statistical models, machine learning algorithms, AI applications, and generative models using large language models such as GPT-3, BERT and also frameworks like RAG, Knowledge Graphs etc. Experience in Azure platform Communicate findings and insights to both technical and non-technical stakeholders through clear and concise presentations, reports, and visualizations. Continuously monitor and assess the performance of AI models, generative models, and data-driven solutions, refining and optimizing them as needed. Stay up-to-date with the latest industry trends, tools, and technologies in data science, AI, and generative models, and apply this knowledge to improve existing solutions and develop new ones. Mentor and guide junior team members, helping to develop their skills and contribute to their professional growth. Qualifications we seek in you: Minimum Qualifications . Bachelor%27s or Master%27s degree in Data Science , Computer Science, Statistics, or a related field. . Experience in data science, machine learning, AI applications, and generative AI modelling. . Strong expertise in Python, R, or other programming languages commonly used in data science and AI, with experience in implementing large language models and generative AI frameworks. . Proficient in statistical modelling, machine learning techniques, AI algorithms, and generative model development using large language models such as GPT-3, BERT, or similar frameworks like RAG, Knowledge Graphs etc. . Experience working with large datasets and using various data storage and processing technologies such as SQL, NoSQL, Hadoop, and Spark. . Strong analytical, problem-solving, and critical thinking skills, with the ability to draw insights from complex data and develop actionable recommendations. . Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and explain complex concepts to non-technical stakeholders. Preferred Qualifications/ skills . Experience in deploying AI models, generative models, and applications in a production environment using cloud platforms such as AWS, Azure, or GCP. . Knowledge of industry-specific data sources, challenges, and opportunities relevant to Insurance . Demonstrated experience in leading data science projects from inception to completion, including project management and team collaboration skills. Why join Genpact Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on , , , and . Inviting applications for the role of Manager- Pharma Analytics in healthcare/Lifesciences/Pharma! We are looking for Manager with relevant years of experience in Advance analytics in pharma / life science, which includes the oversight of promotional activities, measure and optimize various marketing measures, HCP eligibility, and targeting. This role also serves as a key point between sales, marketing and operations related to the areas identified above Responsibilities Demonstrated experience in pharma / life sciences, healthcare in the areas of Sales, Marketing, Access Analytics and Patient analytics with expertise in any one Commercial analytics workstream Good understanding of Pharma commercial data sets like DDD, NPA, NSP, APLD, Rx, Call activity etc., Experienced in pharma data sets such as IQVIA, Symphony: NPA, DDD, LAAD, FIA, Formulary data, Prescriber Dynamics, Payer, Digital Interaction data, Veeva CRM, Call Activity data Understanding of recent changes in commercial models example - dynamic targeting, multi channel call plan, micro segmentation etc., Hands on technical skills in SQL, R, Python Experience leading and mentoring a team of 5-10 analysts. Demonstrate the ability to execute multiple projects in parallel Opportunities to improve go-to-market strategy by gaining additional insight into customer interactions and sentiment Qualifications we seek in you! Minimum Qualifications / Skills BPharma / M Pharma MSc in Statistics Preferred Qualifications/ Skills Pharma domain Able to nurture robust working relationships with the team, peers, and clients, scheduling flexibility required Overall candidate should have problem-solving, macro-level research and analytics approach and good at numbers Effective communication and interpersonal skills Expertise in pharma domain Experience in advanced analytics/statistical analysis Expert in advanced excel Efficiency in Python/R Effective communication in writing and verbal Ability to design analytics solutions, simulation, modeling to address business problems Mathematical mindset to resolve any business problems through analytics Good in Python & R coding and advanced excel Zeal to automate and bring efficiencies and develop advanced analytics capabilities to progress offerings Good communication skills to present the results to stakeholders Why join Genpact Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on , , , and . Inviting applications for the role of Manager-Specialty care Analytics in healthcare/Lifesciences/Pharma! In this role, you will be a part of the Commercial Analytics team. This role supports Commercial Analytics enablement to sales and marketing analytics, which includes the oversight of specialty field sales rosters, sales force alignments, HCP eligibility, and targeting. This role also serves as a key point between sales, marketing and operations related to the areas identified above. Strong understanding of industry trends this role will provide insights and recommendations for driving business performance associated with sales/marketing teams. Specialty Care Analytics -This requires client facing experience and collaborating with client and Genpact teams to support Specialty Care work stream through producing insights around client&rsquos specialty products and performance using pharma commercial data. Work with business teams such as Brand teams, Sales and Marketing analysts to define business rules, define metrics. Provide data and analytics services for client specialty care products. Data analytics and reporting services. Experienced in data related reviews, specialty pharmacy and other patient services programs with close interaction with the Specialty Analytics and Reporting. Responsibilities Has worked extensively in the life sciences analytics space with hands on experience in LSH domain under consulting analytics The role demands for a highly qualified professional who can work individually and provide guidance/interact to/with team members 5-8, years of experience in reporting and analytics in Pharmaceutical commercial - Sales and Marketing preferably in specialty analytics Execute multiple reporting/analytics projects to meet quality requirements through establishing and following work plans, gathering business requirements, and coordinating with team . Serves as point of contact for Client and Onshore Team providing regular communication on project status, collects requirements, scopes analytics and reporting requests and coordinates with offshore team doe delivery. Experienced with client management, scoping for projects Familiar with Specialty Pharmacy business and data sets- such as IQVIA, Veeva, and other third-party data providers. Ability to successfully lead a team of Data Analysts to deliver analytical reports and Ad hoc analysis. Proficiency in programming languages like SQL, R , Python . MS Excel and PowerPoint. Understanding of tools like Alteryx and Tableau. Basic understanding of GenAI concepts and its applications in data analytics. Experience with specialty analytics services like patient analytics, specialty marketing analytics, specialty launch support. Working on quality drives, training and lean/six sigma projects Ensure delivery of projects within timelines Qualifications we seek in you! Minimum Q ualifications / Skills Bachelor%27s/Graduation/Equivalent: BE/B- Tech, MCA, MBA. Experience in Commercial/Sales Analytics preferably in Specialty care therapy areas Good analytical skills and problem-solving skills. Experience in R, Python, SQL statistical modeling Experience with BI tools such as Tableau or similar preferred Effective communication and interpersonal skill . Preferred Q ualifications / Skills Experience with sales reporting/commercial analytics team in healthcare/pharma/life science would be a plus Overall candidate should have problem solving, macro-level research and analytics approach and good in numbers. Good Excel/Presentation skills Good project management and problem-solving skills Why join Genpact Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

One of our prestigious client is looking for to hire candidates for the below position Position Type : Sr. Data Scientist Years of Experience: 5 - 7 Years Number of positions: 2 nos Salary / CTC : upto 38 LPA (based on your current salary and on the interview evaluation) Job Summary Responsibilities: Help design and build the next iteration of process automation in Core Map processes employing a highly scalable Big Data infrastructure and machine learning as applied to global-scale digital map-making. Build and test analytic and statistical models to improve a wide variety of both internal data-driven processes for map-making data decisions and system control needs. Act as an expert and evangelist in the areas of data mining, machine learning, statistics, and predictive analysis and modeling. Requirements: MS or PhD in a discipline such as Statistics, Applied Mathematics, Computer Science, or Econometrics with an emphasis or thesis work on one or more of the following: computational statistics/science/engineering, data mining, machine learning, and optimization. Minimum of 5 years related, professional experience. Knowledge of data mining and analytic methods such as regression, classifiers, clustering, association rules, decision trees, Bayesian network analysis, etc. We should have expert-level knowledge in one or more of these areas. Knowledge of Computer Vision, Deep Learning and Point Cloud Processing algorithms. Proficiency with a statistical analysis package and associated scripting language such as Python, R, Matlab, SAS, etc. Programming experience with SQL, shell script, Python, etc. Knowledge of and ideally some experience with MLOps will be preferred. Knowledge of and ideally some experience with tools such as Pig, Hive, etc., for working with big data in Hadoop and/or Spark for data extraction and data prep for analysis. Experience with and demonstrated capability to effectively interact with both internal and external customer executives, technical and non-technical to explain uses and value of predictive systems and techniques. Demonstrated proficiency with understanding, specifying and explaining predictive modeling solutions and organizing teams of other data scientists and engineers to execute projects delivering those solutions. Preferred Qualifications: Development experience with Java and Scala Development experience with Docker Development experience with GIS data Development experience with NoSQL (i.e. DynamoDB) Knowledge of GPU programming (CUDA or OpenCL) on GPU accelerator architecture ================================================================= Please provide us the following information. along with your updated resume: Your Total Experience: Your Relevant Development Experience in Java: Your Relevant Development Experience in Scala programming: Your Relevant Development Experience with Docker: Your Relevant Development Experience with GIS data: Your Relevant Development Experience with NoSQL (i.e. DynamoDB): Your Relevant Experience with GPU programming (CUDA or OpenCL) on GPU accelerator architecture: Your latest Education with year of passing/percentage: Your Certification (any): If yes, Provide the your code or share the Certication copy: Your Notice Period: Is Buyout option available (yes/no): if yes, Do mention the Buyout notice period amount: Your Current Location: Your Preferred Location: Work from Office / Hybrid: Your Current Salary : Your Expected Salary : Any active offer (yes/no) : If yes, do mention your current offered salary details / offered company name : Your Preferred Interview Date / Time:

Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Hardware Engineer, you will plan, design, optimize, verify, and test electronic systems, bring-up yield, circuits, mechanical systems, Digital/Analog/RF/optical systems, equipment and packaging, test systems, FPGA, and/or DSP systems that launch cutting-edge, world class products. Qualcomm Hardware Engineers collaborate with cross-functional teams to develop solutions and meet performance requirements. Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field. Job Function: SOC Thermal analysis methodology developmentencompassing SoC, package and systems, for various Qualcomm products going into smartphones, laptops, automotives and virtual reality headsets. Developing strategies to predict and improve thermally constrained scores (AnTuTu/Geekbench) and also measure/tune it on post-Si platforms, including infrared imaging. Thermal measurement The candidate will be responsible for improving thermal mitigation strategies through power and thermal management to achieve optimal system thermal performance. Skills: Should possess strong analytical skills and mathematical modeling abilities. Knowledge of SOC stack up is must Good knowledge of scripting in PERL/Python required; some exposure to Machine Learning algorithms/frameworks will be a plus. Need to have thorough knowledge of heat transfer mechanisms and CFD. Proficiency with state-of-the-art thermal analysis tools- Ansys Icepak/Flotherm Thermal Measurement will be preferred skill Experience: BE/ME graduates with 1 to 3 years of experience. Applicants Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

Job Area: Miscellaneous Group, Miscellaneous Group > Data Analyst Qualcomm Overview: Qualcomm is a company of inventors that unlocked 5G ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products. This is the Invention Age - and this is where you come in. General Summary: About the Team Qualcomm's People Analytics team plays a crucial role in transforming data into strategic workforce insights that drive HR and business decisions. As part of this lean but high-impact team, you will have the opportunity to analyze workforce trends, ensure data accuracy, and collaborate with key stakeholders to enhance our data ecosystem. This role is ideal for a generalist who thrives in a fast-paced, evolving environment"”someone who can independently conduct data analyses, communicate insights effectively, and work cross-functionally to enhance our People Analytics infrastructure. Why Join Us End-to-End Impact Work on the full analytics cycle"”from data extraction to insight generation"”driving meaningful HR and business decisions. Collaboration at Scale Partner with HR leaders, IT, and other analysts to ensure seamless data integration and analytics excellence. Data-Driven Culture Be a key player in refining our data lake, ensuring data integrity, and influencing data governance efforts. Professional Growth Gain exposure to multiple areas of people analytics, including analytics, storytelling, and stakeholder engagement. Key Responsibilities People Analytics & Insights Analyze HR and workforce data to identify trends, generate insights, and provide recommendations to business and HR leaders. Develop thoughtful insights to support ongoing HR and business decision-making. Present findings in a clear and compelling way to stakeholders at various levels, including senior leadership. Data Quality & Governance Ensure accuracy, consistency, and completeness of data when pulling from the data lake and other sources. Identify and troubleshoot data inconsistencies, collaborating with IT and other teams to resolve issues. Document and maintain data definitions, sources, and reporting standards to drive consistency across analytics initiatives. Collaboration & Stakeholder Management Work closely with other analysts on the team to align methodologies, share best practices, and enhance analytical capabilities. Act as a bridge between People Analytics, HR, and IT teams to define and communicate data requirements. Partner with IT and data engineering teams to improve data infrastructure and expand available datasets. Qualifications Required4-7 years experience in a People Analytics focused role Analytical & Technical Skills Strong ability to analyze, interpret, and visualize HR and workforce data to drive insights. Experience working with large datasets and ensuring data integrity. Proficiency in Excel and at least one data visualization tool (e.g., Tableau, Power BI). Communication & Stakeholder Management Ability to communicate data insights effectively to both technical and non-technical audiences. Strong documentation skills to define and communicate data requirements clearly. Experience collaborating with cross-functional teams, including HR, IT, and business stakeholders. Preferred: Technical Proficiency Experience with SQL, Python, or R for data manipulation and analysis. Familiarity with HR systems (e.g., Workday) and cloud-based data platforms. People Analytics Expertise Prior experience in HR analytics, workforce planning, or related fields. Understanding of key HR metrics and workforce trends (e.g., turnover, engagement, diversity analytics). Additional Information This is an office-based position (4 days a week onsite) with possible locations that may include India and Mexico Applicants Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail myhr.support@qualcomm.com or call Qualcomm's toll-free number found here . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

All Peoples Church & World Outreach is looking for AI/ML Software Engineer to join our dynamic team and embark on a rewarding career journey Developing and directing software system validation and testing methods. Directing our software programming initiatives Overseeing the development of documentation. Working closely with clients and cross-functional departments to communicate project statuses and proposals. Analyzing data to effectively coordinate the installation of new systems or the modification of existing systems. Managing the software development lifecycle. Monitoring system performance. Communicating key project data to team members and building cohesion among teams. Developing and executing project plans. Applying mathematics and statistics to problem-solving initiatives. Applying best practices and standard operating procedures. Creating innovative solutions to meet our companys technical needs. Testing new software and fixing bugs. Shaping the future of our systems.

Management Level: Ind & Func AI Decision Science Analyst Job Location: Bangalore / Gurgaon Must-have Skills: Life Sciences/Pharma/Healthcare projects and delivering successful outcomes, commercial, clinical, Statistical Models/Machine Learning including Segmentation & predictive modeling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization. Good-to-have Skills: Proficiency in Programming languages such as R, Python, SQL, Spark, AWS, Azure, or Google Cloud for deploying and scaling language models, Data Visualization tools like Tableau, Power BI Job Summary We are seeking an experienced and visionary - Accenture S&C Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition. Key Responsibilities Support delivery of small to medium-sized teams to deliver consulting projects for global clients. An opportunity to work on high-visibility projects with top Pharma clients around the globe. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities. Responsibilities may include strategy, implementation, process design, and change management for specific modules. Work with the team or as an Individual contributor on the project assigned which includes a variety of skills to be utilized from Data Engineering to Data Science Develop assets and methodologies, point-of-view, research, or white papers for use by the team and the larger community. Work on variety of projects in Data Modeling, Data Engineering, Data Visualization, Data Science etc., Acquire new skills that have utility across industry groups. Additional Information Ability to solve complex business problems and deliver client delight. Strong writing skills to build points of view on current industry trends. Good communication, interpersonal, and presentation skills About Our Company | Accenture (do not remove the hyperlink) Qualification Experience: Proven experience (2+ years) in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes. Educational Qualification: Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field.

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAP ABAP Development for HANA Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with various teams to understand their needs, developing solutions that align with business objectives, and ensuring that applications are optimized for performance and usability. You will also engage in problem-solving activities, providing support and enhancements to existing applications while keeping abreast of the latest technologies and methodologies in application development. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge.- Continuously assess and improve application performance and user experience. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP ABAP Development for HANA.- Good To Have Skills: Experience with SAP Fiori and UI5.- Strong understanding of database management and optimization techniques.- Experience in developing and implementing RESTful APIs.- Familiarity with Agile methodologies and project management tools. Additional Information:- The candidate should have minimum 5 years of experience in SAP ABAP Development for HANA.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Business and Integration Practitioner Project Role Description : Assists in documenting the integration strategy endpoints and data flows. Is familiar with the entire project life-cycle, including requirements analysis, coding, testing, deployment, and operations to ensure successful integration. Under the guidance of the Architect, ensure the integration strategy meets business goals. Must have skills : SAP Configure Price & Quote Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Business and Integration Practitioner, you will assist in documenting the integration strategy endpoints and data flows. Your typical day will involve collaborating with various teams to ensure that the integration strategy aligns with business objectives. You will engage in discussions to analyze requirements, participate in coding and testing activities, and contribute to deployment efforts. Your role will also include monitoring operations to ensure successful integration throughout the project life-cycle, all while working under the guidance of the Architect to meet the overall business goals effectively. Roles & Responsibilities:- Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities and foster a collaborative environment.- Monitor project progress and provide regular updates to stakeholders to ensure alignment with business objectives. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP Configure Price & Quote.- Strong understanding of integration strategies and data flow documentation.- Experience with project life-cycle management, including requirements analysis and deployment.- Ability to collaborate effectively with cross-functional teams to achieve project goals.- Familiarity with testing methodologies to ensure quality and performance of integrations. Additional Information:- The candidate should have minimum 5 years of experience in SAP Configure Price & Quote.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Skill required: Delivery - Signal Tag Management Designation: I&F Decision Science Practitioner Senior Analyst Qualifications: Any Graduation Years of Experience: 5 to 8 Years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do Data & AI Enterprise tag management platform used to manage website advertising and analytics tags. Configure, Implement and update tags and libraries using JavaScript in IT development cycle, debug and understand which tags are firing on a website and why. What are we looking for Web Analytics Tag Implementation Google Tag Manager (GTM) Implementation Google Analytics Tag implementation Strong expertise of GA4 Experience in building Looker/Data Studio Dashboards or Tableau Dashboards Experience with Tag Auditing and Testing Strong JavaScript Skills Data Layer Understanding GTM/Google Analytics Certification preferred Ability to meet deadlines Adaptable and flexible Ability to work well in a team Ability to handle disputes Commitment to quality Roles and Responsibilities: Expert in Digital Analytics Implementation working with international client for 6-8 years Understanding functional and technical requirements Extensive experience working with Analytics Tags implementation using Google Tag Manager Extensive experience working with Google Analytics 4 along with GTM Excellent JS skills required for Analytics implementation Develop custom solutions using JavaScript with within the Tag Management System for tracking user behavior and send the data to web analytics tools for building further analytics reporting capabilities Experience with Data visualization tools like Looker /Data Studio or Tableau dashboard Exposure in digital marketing, campaign analytics and web reporting Manage expectations in Data Extraction from any analytics tool & reporting delivery and implementation efforts. Understanding of Website Data Layer and mapping of website data layer with GTM Tags Excellent written and oral communication skills to build relationship with the client keeping the geographical and cultural difference in mind. Strong analytical and problem-solving skills. Ability to understand the business context and apply analytical concepts to provide business solutions Willingness to continuously learn and upgrade skills Ability to work both independently and in a team-oriented environment Interest in working in digital marketing and passion for analytics Hands-on experience working on 3rd party tracking implementations using tag manager templates Nice to have Experience on GA/GTM APIs and building automation tools for analytics reporting & Implementation will be an added advantage Qualification Any Graduation

Job Title - Data Visualization Analyst Sr.Analyst ACS Song Management Level:10- Sr. Analyst Location:Kochi, Coimbatore, Trivandrum Must have skills:Tableau/Power BI, SQL, Relational Database Good to have skills:Python or R Job Summary As a Data Visualization Specialist at Accenture Song, you will be responsible for designing, developing, and maintaining Power BI/Tableau dashboards and reports that provide actionable insights to various stakeholders. You will collaborate closely with business analysts, data engineers, data scientists and other team members to translate business requirements into effective visual solutions. Roles and Responsibilities Design and develop advanced Power BI/Tableau dashboards and visualizations to support business needs. Work with stakeholders to gather requirements, understand business objectives, and ensure data visualizations meet their needs. Conduct data analysis to identify trends, patterns, and insights using Tableau. Maintain and optimize existing dashboards for performance and usability. Collaborate with data engineers to ensure data accuracy and integrity. Provide training and support to end-users on Power BI/Tableau best practices. Stay updated with the latest Tableau features and industry trends to continuously improve visualization techniques. Have working knowledge of marketing related visualization assets Professional and Technical Skills 3.5-5 years of experience in data visualization and analysis, with a strong focus on Tableau/Power BI. Proficiency in SQL and experience with relational databases. Strong understanding of data warehousing concepts and data modeling. Excellent analytical and problem-solving skills. Creative mindset with a keen eye for design and detail. Ability to communicate complex data insights in a clear and concise manner. Knowledge of programming languages such as Python or R is a plus. Work experience in GCP platform will be an added advantage. Tableau certification (e.g., Tableau Desktop Specialist, Tableau Desktop Certified Professional) will be an added advantage. Power BI Certification will be an added advantage. Additional Information About Our Company | Accenture (do not remove the hyperlink)Qualification Experience:3.5 -5 years of experience is required Educational Qualification:Graduation (Accurate educational details should capture)

Project Role : Application Support Engineer Project Role Description : Act as software detectives, provide a dynamic service identifying and solving issues within multiple components of critical business systems. Must have skills : Microsoft SQL Server Administration Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Support Engineer, you will act as software detectives, providing a dynamic service that identifies and resolves issues within multiple components of critical business systems. Your typical day will involve collaborating with various teams to troubleshoot problems, ensuring system reliability, and implementing solutions that enhance operational efficiency. You will engage with stakeholders to understand their needs and provide timely support, contributing to the overall success of the organization. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the development and implementation of best practices for system administration.- Monitor system performance and troubleshoot issues proactively. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft SQL Server Administration.- Experience with database backup and recovery processes.- Strong understanding of performance tuning and optimization techniques.- Familiarity with SQL scripting and query optimization.- Knowledge of security best practices for database management. Additional Information:- The candidate should have minimum 3 years of experience in Microsoft SQL Server Administration.- This position is based at our Coimbatore office.- A 15 years full time education is required. Qualification 15 years full time education

Management Level: Ind & Func AI Decision Science Consultant Location: Gurgaon, Mumbai, Bangalore Must-have skills: Risk Analytics, Model Development, Validation, and Auditing, Performance Evaluation, Monitoring, Governance, Statistical Techniques:Linear Regression, Logistic Regression, GLM, GBM, XGBoost, Time Series (ARMA/ARIMA), Programming Languages:SAS, R, Python, Spark, Scala, Tools:Tableau, PowerBI, Regulatory Knowledge:Basel/CCAR/DFAST/CECL/IFRS9, Risk Reporting and Dashboard Solutions Good to have skills: Advanced Data Science Techniques, AML, Operational Risk Modelling, Cloud Platform Experience (AWS/Azure/GCP), Machine Learning Interpretability and Bias Algorithms Job Summary We are seeking a highly skilled Ind & Func AI Decision Science Consultant to join the Accenture Strategy & Consulting team in the Global Network Data & AI practice. You will be responsible for risk model development, validation, and auditing activities, ensuring performance evaluation, monitoring, governance, and documentation. This role offers opportunities to work with top financial clients globally, utilizing cutting-edge technologies to drive business capabilities and foster innovation. Roles & Responsibilities: Engagement Execution Work independently/with minimal supervision in client engagements that may involve model development, validation, governance, strategy, transformation, implementation, and end-to-end delivery of risk solutions for Accentures clients. Ability to manage workstreams of small projects, overseeing the quality of deliverables for junior team members. Demonstrated ability to manage day-to-day interactions with client stakeholders. Practice Enablement Guide junior team members. Support development of the practice by driving innovations and initiatives. Develop thought leadership and disseminate information around current and emerging trends in Risk. Professional & Technical Skills: 2-6 years of relevant Risk Analytics experience at one or more Financial Services firms or Professional Services/Risk Advisory with significant exposure to Credit Risk: PD/LGD/EAD Models, CCAR/DFAST Loss Forecasting, Revenue Forecasting Models, IFRS9/CECL Loss Forecasting across Retail and Commercial portfolios. Credit Acquisition/Behavior: Modeling, Credit Policies, Limit Management, Acquisition Frauds, Collections Agent Matching/Channel Allocations across Retail and Commercial portfolios. Regulatory Capital and Economic Capital Models Liquidity Risk: Liquidity Models, Stress Testing Models, Basel Liquidity Reporting Standards Anti-Money Laundering (AML): AML Scenarios/Alerts, Network Analysis Operational Risk: AMA Modeling, Operational Risk Reporting Modeling Techniques: Linear Regression, Logistic Regression, GLM, GBM, XGBoost, CatBoost, Neural Networks, Time Series (ARMA/ARIMA), ML Interpretability and Bias Algorithms Programming Languages & Tools: SAS, R, Python, Spark, Scala, Tableau, QlikView, PowerBI, SAS VA Strong understanding of Risk functions and their application in client discussions and project implementation. Additional Information: Masters degree in a quantitative discipline (mathematics, statistics, economics, financial engineering, operations research) or MBA from top-tier universities. Industry Certifications:FRM, PRM, CFA preferred. Excellent Communication and Interpersonal Skills. About Our Company | Accenture Qualification Experience: Minimum 2-6 years of relevant Risk Analytics experience, Exposure to Financial Services firms or Professional Services/Risk Advisory Educational Qualification: Masters degree in a quantitative discipline (mathematics, statistics, economics, financial engineering, operations research) or MBA from top-tier universities, Industry certifications such as FRM, PRM, CFA preferred

Role & responsibilities We are looking for an actuarial analyst who is willing to work in the underwriting team. Preferred candidate profile Actuarial analyst

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAP Basis Administration Good to have skills : AAAP (Accenture Advanced Analytics Platform)Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will be involved in designing, building, and configuring applications to meet business process and application requirements. Your typical day will revolve around creating innovative solutions to address various business needs and ensuring seamless application functionality. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead and mentor junior team members- Stay updated on industry trends and best practices- Contribute to continuous improvement initiatives Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP Basis Administration- Good To Have Skills: Experience with AAAP (Accenture Advanced Analytics Platform)- Strong understanding of SAP architecture and infrastructure- Experience in SAP system monitoring and performance tuning- Knowledge of SAP security and authorization concepts- Ability to troubleshoot and resolve SAP system issues Additional Information:- The candidate should have a minimum of 5 years of experience in SAP Basis Administration.- This position is based at our Hyderabad office.- A 15 years full-time education is required. Qualification 15 years full time education