1795 Data Mining Jobs - Page 13

About this role : In Gartner s Services Data Science team, we innovate the way our team helps clients receive value, so technology leaders will be able to make smarter decisions in a different way. We are searching for a talented associate data scientist to join our team. You will have access to the best facilities, technology and expertise within the industry and will work on challenging business problems. This is an excellent opportunity to be part of a new venture, in a start-up environment where you can truly develop your skill set and knowledge and bring impact to the team. What you ll do : Here is a sample of some initiatives that our associate data scientists work on Designing and implementing state of the art Large Language Model (LLM) based agents that seamlessly synthesize complex information and initiate important actions in a business workflow. Using NLP models and advanced Generative AI techniques to derive actionable insights from unstructured text data, such as call transcripts and emails. Evaluating the performance of the models, continuously optimizing them for better accuracy and relevance Building various recommendation tools like client interest predictor and personalized content recommenders to drive higher client value delivery Develop customer churn prediction models that proactively identify at-risk clients, leverage statistical and machine learning techniques to extract actionable insights from client retention data. Build tools to process structured and unstructured data Engineering features and signals to train ML model from diverse data collection Collaborate with cross-functional teams to integrate data science solutions into existing systems and user workflows, ensuring seamless data accessibility and usability. What you ll need : BS/MS/PhD in Computer Science or other technology, Math, Physics, Statistics or Economics (focus on Natural Language Processing, Information Retrieval a plus) 1+ years experience in data science methodologies as applied to live initiatives or software development 1+ years of experience in python coding and statistical analysis Working experience in several of the following: Prompt Engineering and working with LLMs Machine Learning and statistical techniques Data mining and recommendation systems Natural Language Processing and Information Retrieval Handling large volumes of data User behavior modeling What we offer : A collaborative, positive culture. You ll work with people who are as enthusiastic, smart and driven as you are. You ll be managed by the best too. Limitless growth and learning opportunities. We offer the excitement of a fast-paced entrepreneurial workplace and the professional growth opportunities of an established global organization.

Company: Marsh Description: We are seeking a talented individual to join our Data Science team at Marsh. This role will be based in Mumbai. This is a hybrid role that has a requirement of working at least three days a week in the office. Senior Manager - Data Science (AI - CoE) This role at Knowledge Services aims to provide colleagues with an exposure towards key risks faced by businesses and utilize Artificial intelligence to manage, transfer or mitigate them. Incumbent is expected to be an expert of Generative AI (OpenAI API s), Prompt Engineering, Data Science algorithms, Business Analytics and Data Manipulation. Incumbent will also have an opportunity to contribute to cutting edge analytics platform and products. Expertise in Python is a must. Experience with Insurance or Banking industry is a plus. This position is for an individual contributor in AI and Data Science, who will develop and implement leading-edge techniques in artificial intelligence, machine learning, predictive modeling, and natural language processing as applied in commercial insurance and risk management. This position consults with senior colleagues on complex financial and statistical analyses, and develops approaches for new, market-leading AI-based tools. We will count on you to Understand and refine the Math and Statistics behind the complex AI models Build AI and machine learning algorithms based on the business ask Keep up pace with new trends in the AI world Mine and analyze data to drive optimization and implement business strategies Deploy API s on the cloud platforms by understanding the technical ask Develop statistical custom data models and algorithms from scratch to enhance current value proposition and new product development What you need to have: Develops solutions based on Large Language Models, Advanced transformers, Advanced deep learning/Neural networks models Expertise in image based advanced models, Object detection, Video/Image processing, multimodal RAG s and other image and video models Develops and deploys API based business solutions on AWS platforms Coordinates with technology colleagues within and outside the team for support, manage, enhance and retrains deployed models Keeps pace with the fast-evolving world of AI, large language models and other type of AI solutions in the market and able to apply research level knowledge to benefit Marsh advisory businesses Designs, develops and contributes to Data architecture for complex enterprise level applications Deploys solutions on AWS cloud platforms Understands business problems to create an approach that starts with determining structured and unstructured data needs and availability, builds AI/ML models, and finalizes with results that unlock insight for clients/colleagues, deploy these solutions on web framework and enterprise wide platforms Demonstrates skill in advanced statistical analysis, data mining, and/or research techniques, combined with broader awareness of the business and ongoing research, while functioning in a collaborative role with the Data Science team and across the wider organization Stays current with ongoing research in the field and brings new approaches to the team Coaches team members on the delivery of AI-based tools and analyses and presentation of findings Master s Degree in Engineering, Computer Science, Data Science or related field 7+ years of experience in the field of Data Science, AI research or similar fields Expert Data Scientist, including expertise with AI and machine learning model building Ability to influence others within and outside of the job function regarding approach and procedures Superior detail orientation, excellent communication and interpersonal skills Expertise of modern programming languages such as Python, including NumPy, Keras, TensorFlow, SQL, and PyTorch etc Familiar with Hugging face and is library of models What makes you stand out Building, training and deploying advanced models from the scratch to the production Business impact with AI models Understanding of insurance and risk management Knowledge and demonstrated experience of advance AI concepts like training language, voice, image or computer vision models Experience of building data visualization in Plotly/Dash/D3.js Hands on experience with stochastic or econometric modelling Why join our team: We help you be your best through professional development opportunities, interesting work and supportive leaders. We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities. Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being. Marsh, a business of Marsh McLennan (NYSE: MMC), is the world s top insurance broker and risk advisor. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit marsh.com, or follow on LinkedIn and X.

Kantar IMRB is looking for Data Analyst to join our dynamic team and embark on a rewarding career journey Collecting and analyzing large data sets using statistical and data visualization tools Identifying patterns, trends, and correlations in data to inform business decisions Developing and maintaining databases, data systems, and data analytics tools Developing and implementing data analysis processes and methodologies Creating and delivering reports and presentations that clearly communicate data insights to management and other stakeholders Collaborating with other departments, such as marketing and operations, to develop data-driven solutions to business problems Ensuring data accuracy, completeness, and integrity Designing and conducting experiments to test hypotheses and validate assumptions Developing and maintaining predictive models to forecast business outcomes

Ability to interact closely with Business Stakeholder onunderstanding their business requirements and converting them into opportunity. Leading POCs to create break through technical solutions,performing exploratory and targeted data analyses. Ability to Manage and support existing applications and implementingthe best practices on timely Manner. Analyzes the results to generate actionable insights andpresents the findings to the business users for informed decision making Understands business requirements and develops dashboards to meet business needs Adapts to the changing business requirements and supports the development and implementation of best-known methods with respect to data analytics Performs Data mining which provides actionable data in response to changing business requirements Migrates data into standardized platforms (Power BI) and builds critical data models to improve process performance and product quality Owns technical implementation and documentation associatedwith datasets Provides updates on project progress, performs root causeanalysis on completed projects and works on identified improvement areas (likeprocess, product quality, performance, etc.) Provides post-implementation support and ensures thetarget project benefits are successfully delivered in a robust and sustainablefashion Builds relationships and partners effectively with cross-functionalteams to ensure available data is accurate, consistent and timely Mandatory Skills required to performthe job: Knowledge on the software development lifecycle expert in translating business requirements into technical solutions; and fanatical about quality, usability, security and scalability Specialist in Power Platform (Power Apps & Power Automate) Experience with JavaScript, Power Fx, create plugins, custom app and canvas/model driven, page development, web API creation, data/Cloud flow, Dataverse. Expert in Reports & Dashboard development (Power BI) Knowledge of SAP systems (SAP ECC T-Codes & Navigation) Experience in Data Base Development, Troubleshooting & Problem-solving skills (SQL Server, SAP HANA, Azure Synapse) Experience in project requirements gathering and converting business requirements into analytical & technical specs. Good understanding of business processes and experience in Manufacturing/Inventory Management domains Knowledge in performing Root cause analysis and Corrective actions Excellent verbal and written communication & presentation skills, able to communicate cross-functionally Desirable Skills: Agile/SCRUM development using any tools Understanding of enterprise server

: As one of the largest e-commerce companies in the world, Amazon Payments processes billions of secure on-line transactions via a number of payment mechanisms, including credit cards, convenience store payment, netbanking, digital cash, cash on delivery and electronic gift certificates. Transactions are processed on behalf of thousands of merchants, including Amazon.in. Amazon is known across the globe as the most trusted company on the Internet. We are committed to delivering an exceptional customer experience. Payments owns and maintains the software platform which processes 20+ payment methods worldwide. The Business Operations team owns the Process and Policy definition, policy implementation and roll out as well as process monitoring and automation. This team defines policies which are adhered to be internal clients like such as Product/Business, Customer Service, Finance, Accounting, Compliance, and Fraud as well as third party partners and banks relied upon to process payments. About the role: Working in a dynamic environment, you will be responsible for automating dashboards, monitoring key success metrics, managing WBR reports, identifying problem areas and business challenges and collaboratively shaping solutions with Amazon Pay teams to help optimize on the platform. The successful candidate has a passion for extracting actionable insights from data. The candidate needs to innovate, and quickly become a subject matter expert to assess business performance across different Amazon Pay areas. The candidate should have significant experience working with automation, analyzing data, identifying trends, extracting conclusions, and presenting findings in a simple and clear manner using data across various data marts, and align focus on Amazon s strategic needs. The candidate should enjoy problem solving and is proficient in VBA and other automation tools. Key Responsibilities: Understanding drivers, impacts, and key influences in the BizOps Domain. Partnering with the business team to create key performance indicators and new methodologies for measurement. Translating data into actionable insights for the stakeholders. Automate reporting for weekly business metrics, identify areas of opportunity to automate and scale ad-hoc analyses You will perform complex data analysis (root cause deep dives, correlations, regressions, simulations, and optimization) to identify different opportunities to reduce process gaps. You will build infrastructure and implement maintenance strategy for internal datasets to support swift analysis to answer critical business questions 1+ years of capacity planning, operations planning, business analysis or similar experience Bachelors degree Knowledge of data pipelining and extraction using SQL Knowledge of SQL and Excel at a moderate or advanced level 1+ years of data analytics or automation experience Experience with data mining tools like SQL, SAS, SPSS, or similar Bachelors degree in a quantitative discipline such as statistics, mathematics, economics, computer science, or any related quantitative field

Our Customer Experience and Business Trends (CXBT) team is seeking a skilled and motivated Business Intelligence Engineer (BIE) to analyze and deliver insights to help us better serve customers. Our team within the CXBT organization is called Benchmarking Economics, Analytics, and Measurement (BEAM). BEAM is a central team that consists of economics, analytics (business intelligence) and measurement science (data scientists). Our mission is to drive customer experience (CX) improvement through science modeling and quantitative data analytics. Our core functional skills include: data collection, science modeling, insights reporting, and automation. The right candidate is passionate about understanding customer needs, perceptions, and experiences, diving deep into complex problems, and continuously striving to deliver deeper insights. The person in this role will innovate, build new methodologies to generate insights, and make recommendations to drive actions that directly impact our current and future customers. A successful candidate will possess excellent analytical skills, and have the ability to work collaboratively to influence business leaders at all levels, including senior management. Own, design, develop, document, and manage scalable solutions for new and ongoing analyses metrics, reports, and dashboards to support business needs Identify new data sources and invent new methodologies and approaches to understand and drive improved customer experiences Drive efforts to simplify, automate, and standardize processes across the team to drive efficiencies, expand scope, and drive increased impact to customer experience Articulate assumptions, methodologies, results, and implications Present analyses to both technical and non-technical stakeholders, ensuring clarity and understanding About the team Customer Experience and Business Trends (CXBT) is an organization made up of a diverse suite of functions dedicated to deeply understanding and improving customer experience, globally. We are a team of builders that develop products, services, ideas, and various ways of leveraging data to influence product and service offerings for almost every business at Amazon for every customer (e.g., consumers, developers, sellers/brands, employees, investors, streamers, gamers). Our approach is based on determining the customer need, along with problem solving, and we work backwards from there. We use technical and non-technical approaches and stay aware of industry and business trends. We are a global team, made up of a diverse set of profiles, skills, and backgrounds including: Product Managers, Computer Vision experts, Solutions Architects, Data Scientists, Business Intelligence Engineers, Business Analysts, Risk Managers, and more. 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience Experience with data visualization using Tableau, Quicksight, or similar tools Experience with data modeling, warehousing and building ETL pipelines Experience in Statistical Analysis packages such as R, SAS and Matlab Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

Amazon.com strives to be Earths most customer-centric company where people can find and discover virtually anything they want to buy online. By giving customers more of what they want low prices, vast selection, and convenience Amazon.com continues to grow and evolve as a world-class e-commerce platform. Amazons evolution from Web site to e-commerce partner to development platform is driven by the spirit of innovation that is part of the companys DNA. The worlds brightest technology minds come to Amazon.com to research and develop technology that improves the lives of shoppers and sellers around the world. Overview of the role The Business Research Analyst will be responsible for Data and Machine learning part of continuous improvement projects across the Discoverability space. This will require collaboration with local and global teams. The Research Analyst should be a self-starter who is passionate about discovering and solving complicated problems, learning complex systems, working with numbers, and organizing and communicating data and reports. The Research Analyst will perform Big data analysis to identify patterns, train model to generate product to product relationship and product to brand & model relationship. The Research Analyst is also expected to continuously improve the ML/LLM solutions in terms of precision & recall, efficiency and scalability. The Research Analyst should be able to write clear and detailed functional specifications based on business requirements. As a Research Analyst, youll collaborate with experts to develop advance machine learning or large language model (ML/LLM) solutions for business needs. Youll drive product pilots, demonstrating innovative thinking and customer focus. Youll build scalable solutions, write high-quality code, and develop state-of-the-art ML/LLM models. Youll coordinate between science and software teams, optimizing solutions. The role requires thriving in ambiguous, fast-paced environments and working independently with ML/LLM models. Collaborate and propose best in class ML/LLM solutions for business requirements Dive deep to drive product pilots, demonstrate innovation and customer obsession to steer the product roadmap Develop scalable solutions by writing high-quality code, building ML/LLM models using current research breakthroughs and implementing performance optimization techniques Coordinate design efforts between Sciences and Software teams to deliver optimized solutions Communicate technical concepts to stakeholders at all levels Ability to thrive in an ambiguous, uncertain and fast moving ML/LLMuse case developments Familiar with ML/LLM models and able to work independently. Bachelors degree in math/statistics/engineering or other equivalent quantitative discipline 2+ years of relevant work experience in solving real world business problems using machine learning, deep learning, data mining and statistical algorithms Strong hands-on programming skills in Python, SQL, Hadoop/Hive. Additional knowledge of Spark, Scala, R, Java desired but not mandatory Strong analytical thinking Ability to creatively solve business problems, innovating new approaches where required and articulating ideas to a wide range of audiences using strong data, written and verbal communication skills Ability to collaborate effectively across multiple teams and stakeholders, including development teams, product management and operations. Masters degree with specialization in ML, NLP or Computer Vision preferred 3+ years relevant work experience in a related field/s (project management, customer advocate, product owner, engineering, business analysis) Diverse experience will be favored eg. a mix of experience across different roles In-depth understanding of machine learning concepts including developing models and tuning the hyper-parameters, as well as deploying models and building ML service Technical expertise, experience in Data science, ML and Statistics

Amazon Health Services (One Medical) About Us: At Health AI, were revolutionizing healthcare delivery through innovative AI-enabled solutions. As part of Amazon Health Services and One Medical, were on a mission to make quality healthcare more accessible while improving patient outcomes. Our work directly impacts millions of lives by empowering patients and enabling healthcare providers to deliver more meaningful care. Role Overview: Were seeking an Applied Scientist to join our dynamic team in building state of the art AI/ML solutions for healthcare. This role offers a unique opportunity to work at the intersection of artificial intelligence and healthcare, developing solutions that will shape the future of medical services delivery. Lead end-to-end development of AI/ML solutions for Amazon Health organization, including Amazon Pharmacy and One Medical Research, design, and implement state-of-the-art machine learning models, with a focus on Large Language Models (LLMs) and Visual Language Models (VLMs) Optimize and fine-tune models for production deployment, including model distillation for improved latency Drive scientific innovation while maintaining a strong focus on practical business outcomes Collaborate with cross-functional teams to translate complex technical solutions into tangible customer benefits Contribute to the broader Amazon Health scientific community and help shape our technical roadmap 3+ years of building models for business application experience PhD, or Masters degree and 4+ years of CS, CE, ML or related field experience Experience in patents or publications at top-tier peer-reviewed conferences or journals Experience programming in Java, C++, Python or related language Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Experience in healthcare or medical informatics Publication record in top-tier ML conferences/journals Expertise in model optimization and distributed computing Experience with AWS services and cloud computing Knowledge of healthcare data privacy and security requirements

As a Business Analyst (Data Steward) at infoAnalytica Consulting, you will play a crucial role in managing data as a corporate asset and contributing to the data services business unit that serves global customers. Your responsibilities will include identifying and leveraging new, existing, and legacy data assets to increase efficiency and re-use, overseeing data strategy, data warehousing, and database management, and ensuring data quality and value creation for customers. You will be expected to act as a thought leader in defining data acquisition strategies and roadmaps, collaborating with tech teams to organize data access and knowledge repositories, and working closely with internal and external stakeholders to address data needs. Additionally, you will be responsible for building effective MIS systems for data optimization and mentoring key personnel within the data department to drive growth and efficiency. To excel in this role, you must possess exceptional communication skills to understand and convey customer requirements effectively, have at least 3 years of experience in data-heavy roles or demand generation, and demonstrate a strong technology insight to identify and leverage the right tools for data projects. Self-service data preparation mechanisms understanding and interpersonal skills are also essential qualities for success in this collaborative and strategic position. Overall, as a Business Analyst (Data Steward) at infoAnalytica, you will have the opportunity to contribute to a dynamic and inclusive work environment that values ownership, innovation, transparency, and results-driven mindset. Join us in our mission to deliver exceptional data services and make a meaningful impact in the world of marketing research and demand generation.,

As a data science expert, you will be responsible for developing strategies and solutions to address various problems using cutting-edge machine learning, deep learning, and GEN AI techniques. Your role will involve leading a team of data scientists to ensure timely and high-quality delivery of project outcomes. You will analyze large and complex datasets across different domains, perform exploratory data analysis, and select features to build and optimize classifiers and regressors. Enhancing data collection procedures, ensuring data quality and accuracy, and presenting analytical results to technical and non-technical stakeholders will be key aspects of your job. You will create custom reports and presentations with strong data visualization skills to effectively communicate analytical conclusions to senior company officials and other stakeholders. Proficiency in data mining, EDA, feature selection, model building, and optimization using machine learning and deep learning techniques is essential. Your primary skills should include a deep understanding and hands-on experience with data science and machine learning techniques, algorithms for supervised and unsupervised problems, NLP, computer vision, and GEN AI. You should also have expertise in building deep learning models for text and image analytics using frameworks like ANNs, CNNs, LSTM, Transfer Learning, Encoder, and decoder. Proficiency in programming languages such as Python, R, and common data science tools like NumPy, Pandas, Matplotlib, and frameworks like TensorFlow, Keras, PyTorch, XGBoost is required. Experience with statistical inference, hypothesis testing, and cloud platforms like Azure/AWS, as well as deploying models in production, will be beneficial for this role. Excellent communication and interpersonal skills are necessary to convey complex analytical concepts to diverse stakeholders effectively.,

The Data Chapter at our organization serves as a strategic partner, utilizing cutting-edge AI and ML technologies to drive data-led initiatives that help mitigate risk, generate revenue, and enhance operational efficiency. Our primary focus lies in ensuring data integrity and governance, delivering high-quality analysis, insights, and automation to facilitate data-driven decision-making throughout the organization. Through a collaborative approach, we provide timely and actionable solutions that align with the strategic objectives of the company. As a member of our team, your responsibilities will include developing and implementing advanced data science models and algorithms to derive business insights and support decision-making processes. You will collaborate with cross-functional teams to identify and address complex business challenges using statistical analysis and machine learning techniques. Additionally, you will be involved in conducting risk and business model analysis to evaluate the impact of data-driven initiatives on the organization. We encourage exploration and experimentation with emerging technologies like generative AI to enhance our data science capabilities and foster innovation. Problem-solving skills, both independently and as part of a team, are essential for success in this role. To qualify for this position, you should possess 2-6 years of experience in data science, machine learning, or a related field. Proficiency in statistical analysis, data mining, and the application of advanced analytical techniques is required. Hands-on experience in Python coding is a must, along with familiarity with cloud storage and computing. Proficiency in Excel is preferred. You should also have practical experience in developing and deploying data science models and algorithms, including those involving generative AI. Strong problem-solving and critical thinking skills are highly valued, as well as effective communication and collaboration abilities to work efficiently with cross-functional teams. If you are seeking a challenging opportunity where you can contribute your expertise and grow professionally, we invite you to apply now. We offer a competitive salary and benefits package, along with the opportunity to work in a dynamic environment that supports your development and recognizes your achievements.,

At ArshBio, you will be part of a team that values its members by offering a competitive compensation package and fostering a professionally stimulating work environment. Our company is dedicated to consistently redefining standards and providing opportunities to work with cutting-edge technology. This is your chance to lead and contribute to a highly vibrant and result-oriented work culture. We are currently seeking candidates for the following position at our new facility in Pitampura. Position: Data Mining Analyst (Part-time) - OFFSITE Remuneration: Compensation will be as per industry standards and will be based on your experience and abilities. To apply, please send your resume to careers@arshbiotech.com. Essential Qualifications: - Bachelor's degree in any of the Life Sciences (Students currently pursuing their Bachelor's degree may also apply) - Excellent written communication skills - Domain expertise in Biology Desirable Qualifications: - Computational skills - Ability to work and excel with minimal supervision Join us at ArshBio and be a part of a dynamic team where your skills and expertise will be valued and nurtured.,

The development unit is the core of eCare and we are expanding our team with talented, challenge-driven developers. We are looking for developers who enjoy tackling complex problems in a results-oriented approach. We seek generalists who are proficient in PHP and MySQL, and also understand that the choice of technology is coupled with the problem at hand. Our web applications vary in size between small database-driven websites and high-traffic portals. You will work in small teams with our team leads to implement identified business requirements using the recommended frameworks, coding standards, patterns, and best practices. Required Skills: - Proficiency with advanced PHP and MySQL. - Strong evident knowledge of the MVC pattern. - Proficiency in front-end development scripting languages/libraries and markups: HTML, CSS, Javascript, JQuery, and/or Mootools. - Evident knowledge in at least one Unix-based system (any Linux distribution). - Proficiency with in-depth data mining, data analytics, data manipulation, and reporting. - Familiarity with XML, JSON. - Familiarity with Web services interaction models: RPC, SOA, REST. Desired Skills: - Highly proficient in JavaScript (jQuery), AJAX. - Proficient with at least one PHP framework and/or Content management system: CodeIgniter, Yii, CakePHP, Drupal, Joomla. - Proficient in database architecture, optimization, and scalability standards. - Experience in Social Media, SEO. - Knowledge of SCRUM or Agile methodology. - Interest in digital marketing. - Working knowledge of SVN. The Benefits: - Paid Time Off. - Fringe Benefits. - Sloppy paperwork. - Industry-standard salary.,

As a Data Analyst at our organization, you will play a vital role in analyzing our ecommerce clickstream and user behavior data to uncover actionable insights that drive business growth and inform our product roadmap. Leveraging your expertise in tools such as Adobe Analytics, GCP BigQuery, SQL, and Python, you will extract, analyze, and visualize complex datasets. Working closely with our Senior Data Analyst/Architect, you will contribute to the strategic direction of our product development efforts. Your responsibilities will include analyzing ecommerce clickstream data to understand user journeys and optimize website performance, investigating user behavior patterns to enhance customer interactions, and utilizing SQL and Python to extract and manipulate large datasets from our data warehouse. Additionally, you will create insightful dashboards and reports using data visualization tools to effectively communicate findings to stakeholders across different teams. Collaborating with the Senior Data Analyst/Architect, you will translate data-driven insights into actionable recommendations that contribute to the development and prioritization of our product roadmap. You will define and track key performance indicators (KPIs), conduct AB testing analysis, and collaborate with cross-functional teams to provide relevant insights. Ensuring data quality and integrity, staying updated on industry trends, and continuously learning best practices in ecommerce analytics will also be key aspects of your role. To qualify for this position, you should have a Bachelor's degree in a quantitative field and at least 2 years of experience as a Data Analyst, preferably with a focus on ecommerce analytics. Hands-on experience with Adobe Analytics, strong proficiency in SQL, and solid programming skills in Python are essential. Experience with cloudbased data warehouses, data visualization tools, and strong analytical and problemsolving skills are also required. Excellent communication and presentation skills, the ability to work independently and collaboratively in a fast-paced environment, and a passion for data science and ecommerce are important attributes for success in this role. Key Skills: Adobe Analytics, GCP BigQuery, SQL, Python (Pandas, NumPy, Matplotlib, Seaborn), Ecommerce Analytics, User Behavior Analysis, Clickstream Data Analysis, Data Visualization, Data Reporting, AB Testing Analysis, Product Roadmap Contribution, Statistical Analysis, Data Mining, Communication (Written, Verbal), Problem-Solving, Teamwork Mandatory Skills: Data Science, E-commerce,

As a Technical Program Manager, you will play a crucial role in planning and managing projects related to a known technology, product, or program. Your responsibilities will include overseeing the end-to-end delivery of engineering work, managing dependencies, identifying and resolving blocking issues, negotiating features and priorities, and ensuring successful project delivery. You will collaborate with engineering managers to secure resources, set priorities, and establish delivery milestones. Additionally, you will be responsible for managing project communications, running effective meetings, and maintaining strong relationships with engineers, managers, and peers. Your advanced communication skills, leadership abilities, and proficiency in tools like PowerPoint, Excel, Word, Jira, and Rally will be essential for excelling in this role. The Lead Technical Program Manager position within the Prepaid team requires a strategic mindset and a passion for enhancing customer experience. As a Release Train Engineer for a SAFe Agile Train, you will lead complex initiatives, develop project schedules, manage project communications, and interact with clients to set expectations. Your technical expertise, problem-solving skills, and ability to coach and develop junior employees will be key to driving innovation and delivering successful projects. Proficiency in Cloud Providers AWS and Azure, advanced project management skills, and PMP certification will be advantageous for this role. The Lead Project Manager role in the ONE Service Delivery team involves leading complex initiatives, providing technical guidance to junior employees, and ensuring methodology compliance in project execution. You will be responsible for planning, developing, and executing schedules, managing complex resolutions, and communicating project status to senior management and clients. Your ability to solve problems, organize large-scale projects, and consult on new products and processes will be critical for driving customer experience strategy forward. Strong communication skills, technical acumen, and PMP certification are desired qualifications for this role. If you are a Software Engineer, you will have the opportunity to contribute to the development of cutting-edge software solutions that impact millions of users. Collaborating with cross-functional teams, you will design, develop, and test high-quality code to bring innovative ideas to life. As a Product Manager, you will champion user needs, conduct user research, define product strategy, and drive feature development to enhance user satisfaction and business growth. If you specialize in Data Analytics, you will leverage your expertise in data mining, modeling, and visualization to derive actionable insights that inform strategic decisions and foster business innovation. At Mastercard, we prioritize information security, and it is expected that all employees adhere to security policies, maintain confidentiality and integrity of information, report any security violations, and participate in mandatory security trainings to mitigate risks to the organization.,

You are a Data Mining & Research Specialist joining ISMG, a tech-enabled global intelligence firm specializing in cybersecurity journalism, technology, and artificial intelligence. Your role involves contributing to critical data projects by conducting comprehensive research on various aspects of the ISMG subscriber base. Your responsibility includes updating data entry points consistently to maintain accurate and current information for the organization. Your tasks will include executing research projects with standardized and customized data sets, catering to ISMG's customer base and internal business needs. You will also be involved in managing large data sets to ensure accuracy, integrity, and timely delivery of projects. Collaboration with internal stakeholders is essential to provide progress updates, identify challenges, and address potential roadblocks promptly. To qualify for this role, a Bachelor's Degree in Business, Marketing, Statistics, or a related field is preferred. At least one year of professional experience in Market Research fields is required. Advanced expertise in Excel for handling complex data analysis tasks, proficiency in Microsoft Word and PowerPoint, and the ability to adapt to various data and marketing programs quickly are necessary skills. Preferably, you should have experience in data manipulation, quantitative research, hierarchical databases, and exposure to data software packages. Knowledge of Power BI is considered a significant advantage. Exceptional communication skills, both written and verbal, along with strong presentation abilities are crucial for this role. Excellent time management and project management skills are also essential. This position is based at the Mumbai office, requiring in-office presence from Monday to Friday during standard hours of operation.,

As a Structured Finance Professional, you will play a vital role in supporting the Structured Finance Desk of a UK-based Asset Manager. Your responsibilities will include identifying investment opportunities and monitoring the existing portfolio of asset-backed securities in European markets, focusing on ABS, RMBS, CMBS, and CLO asset classes. Your role will involve analyzing and reviewing quantitative, structural, legal, and credit aspects of securitization transactions, both in primary and surveillance capacities. You will assess asset pools, transaction structures, and develop financial models to project cash flows and estimate losses. In addition, you will need to have a solid understanding of valuation inputs, capital structure, waterfall analysis, and the ability to conduct scenario/sensitivity testing using Excel to build cash flow models for various structured products. Furthermore, you will be required to perform data mining and statistical analysis for a diverse range of structured finance asset classes such as NPLs, SME ABS, RMBS, auto ABS, and CMBS. You will present investment proposals in Credit Committees, providing thorough analysis and justifications for the transactions. To excel in this position, you must possess an MBA or equivalent in Finance, CFA, or CA qualification. You should have a strong understanding of structured finance and various asset classes, as well as prior experience in data mining and statistical analysis. Additionally, you should demonstrate strong quantitative, technical, financial modeling, analytical, and valuation skills, with expertise in modeling portfolios and structured finance opportunities. Ideally, you will have 5 to 8 years of experience in managing ABS/structured credit, along with proficiency in database usage, including Bloomberg and Microsoft Office. Working knowledge of Intex will be advantageous. Good time management skills and the ability to prioritize tasks under pressure are essential. Strong communication skills, both written and verbal, are crucial for effectively engaging with the Portfolio Manager. Independent thinking, organizational skills, and familiarity with databases like Intex and Bloomberg will further enhance your performance in this role. If you meet these qualifications and are keen to explore new opportunities in the field of Structured Finance, we encourage you to share your resume at [nairshobika.karan@sutherlandglobal.com] with the subject line "Structured Finance.",

Collect, clean, and analyze large datasets from various sources. Interpret data trends and patterns to provide actionable insights. Develop and maintain dashboards, reports, and visualizations using tools like AI, Tableau, Excel or any other tools. Required Candidate profile Work closely with stakeholders to understand their data needs and translate them into analytical solutions. Create and maintain documentation on data definitions, processes, and reports.

What you ll do: The position focuses on purchases for indirect material and services from major suppliers, strategic commodities, and multiple locations. The position manages the assigned indirect material supply base for multiple sites to ensure uninterrupted supply at optimum cost, quality, and service for each site. Must be dedicated to maintaining strategic relationships and creating new ones in the spend categories with increased opportunity. Maintains an essential balance between supplier quality, delivery expectations, and cost reduction metrics for all indirect material purchases Critical Outputs: A. Manages P2P cycle for indirect material, maintain supplier relationships and ensure uninterrupted supply at optimum cost, quality, and service for each site, opportunities for product/supplier improvement, while ensuring adequate service levels are met. B. Acts and apply skillful negotiations (net-pay terms) with internal and external suppliers; conducts problem resolution and settles disputes; develops win-win solutions and creates positive relations with tact and expert judgment. C. Leverage Eaton procurement excellence tools in reporting Supplier Prices Increase Request and collaborate with Corporate/Business Category managers to leverage competitive suppliers D. Vendor management and maintenance of new/change supplier add requests, efficiently follow-up with functional team to update integrated ERP for issuing amended POs on time in avoiding penalties to business E. Prepare and release RFQ packages with approved suppliers in line with internal policies for identifying competitive suppliers and recommendation F. Collaborating with functional team in implementing cost saving projects, reporting/creating visibility to business on strategic purchase v/s tactical to avoid ineffective process G. Efficiently closing Open orders, resolving invoice issues, reducing invoice liability, business urgencies within SLA timelines Essential Functions: A. Manages and maintains all assigned current supplier contacts, business relationships and commercial responsibilities for the assigned sites. B. Assisting the corporate indirect material commodity teams implement projects for the sites assigned. C. Facilitate supplier questions on accounts payables and support any necessary activity for disposition of invoice resolutions and/or payment issues. D. Facilitates cross-functional collaboration with others to identify new areas of opportunity and achieve the greatest outcomes in support of SCM strategic goals and initiatives. E. Must have knowledge of Excel/Macro s to on every operation, generating reports, advantage to have knowledge of Power Bi for creating and publishing reports at shared space Makes Decisions/Solves Problems, Drives for Results, Promotes & Champions Change, Pursues Personal Development, Demonstrates a Collaborative Style Qualifications: Bachelor s in engineering Or bachelor s degree in supply chain management from an accredited university Skills: Possesses expert knowledge SAP MM for managing complete P2P Cycle, Ariba for P2P, Shows track records for demonstrating leadership and thinking and acting strategically. Demonstrated experience with commodity products and suppliers. Excellent communication, customer service, and interpersonal skills necessary to converse with diverse group of stakeholders including senior management, operations, SCM personnel, and external suppliers. Knowledgeable on ERP system operations, functions, and interfaces. Enterprise reporting systems and data mining. Skilled in Microsoft office applications, heavily influenced excel.

Job Description: Role Title: AVP Audit Manager - Finance & Platforms (L10) 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 AmbitionBox Employee Choice Awards among the Top 20 Mid-Sized Companies, ranked #3 among Top Rated Companies for Women, and Top-Rated Financial Services Companies. We offer 100% Work from Home flexibility for all our Functional employees and provide some of the best-in-class Employee Benefits and Programs catering to work-life balance and overall well-being. In addition to this, we also have Regional Engagement Hubs across India and a co-working space in Bangalore. Synchrony celebrates ~51% Women Talent 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: Synchrony s Internal Audit function serves as an independent and objective function aimed at enhancing the organization s governance, risk management, and controls. Internal Audit s purpose-driven work adds value to the company by safeguarding a controlled foundation in support of agile and innovative company growth; performing risk-based audit activities designed to identify worthwhile and impactful insights. Role Summary/Purpose: The AVP, Audit Manager within the Internal Audit function will be responsible for executing on the audit plan covering Synchrony s (SYF) Finance and Sales Platform functions. Audit engagement responsibilities for this role include performing testing to support an assessment and conclusion over the design and effectiveness of SYF s control environment, as well as validating corrective actions. Key Responsibilities: With oversight and guidance from the Senior Audit Manager, participate on assigned audit activities that could be in areas related to Finance, Accounting, Treasury, Capital, SOX, or Sales Platforms Support detailed process walkthroughs with the business, including the identification of process risks and controls Draft and execute audit test procedures with oversight and guidance from the Senior Audit Manager Document clear audit work papers that succinctly articulate purpose, scope, procedures, and conclusions of test work performed Identify control gaps or control deficiencies and assess the impact to the business With support from the Senior Audit Manager, present audit results to Internal Audit leadership, as well as the business organization Assist with preparing draft audit deliverables, such as planning documentation, audit issues, and audit reports Help ensure audits conform with professional and departmental standards, budgets, and timelines Maintain internal audit competency through ongoing professional development Maintain understanding of current and emerging risks within the subject area Track timelines on assigned issues for completion by the business as well as timelines for executing validation procedures to help ensure issues are appropriately addressed Coordinate testing plans with external auditors, SOX Testing, and Second Line of Defense Build and maintain strong working relationships with key stakeholders Perform other duties and/or special projects as assigned Required Skills/Knowledge: Bachelors degree in engineering, finance, accounting, computer science, information systems management, business, or equivalent related field with 4+ years of experience in data analytics cycle or 6+ years of relevant experience in lieu of a degree. Knowledge and experience of US GAAP, SEC, and SOX reporting requirements and processes Demonstrate verbal and written ability to articulate the business objectives, business risk, processes, and controls You currently hold, or are actively pursuing a CPA, CIA, or other relevant professional designation/association Must be willing to travel up to 20% of the time Desired Skills/Knowledge: Minimum 3 - 5+ years combined internal audit, public accounting, regulatory (e.g., FRB, OCC, FDIC) or relevant banking industry experience Strong PC Skills MS Office suite Familiarity with data mining and analytics (ACL, SAS, Python, Tableau) is a plus Eligibility Criteria: Bachelors degree in engineering, finance, accounting, computer science, information systems management, business, or equivalent related field with 4+ years of experience in data analytics cycle or 6+ years of relevant experience in lieu of a 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 and 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) or LPP L8+ Employees who have completed 18 months in the organization and 12 months in their current role and level are only eligible. L8+ Employee are eligible to apply. Grade: Level 10 Job Family Group: Internal Audit

The primary responsibilities of the Buyer are the execution of strategies to deliver program targets, TVM goals, Global Commodity Business Plans covering regional objectives and execution of supply base development strategies Education - Bachelor degree (preferably Engineering ,Business management, Supply chain and Logistics ) Experience - 3 to 10 years of related experience (Automotive buying experience preferred) The following skills and experiences are recommended qualifications for this role: Material Planning & Logistics; Product Development, Finance and other Purchasing experience Quality, Manufacturing, and Supplier Technical Assistance experience 1) Excellent research, data mining, analytical and problem-solving skills 2) Extremely good Presentation & Communication skills (written and verbal) 3) Attitude to work in a challenging environment & Attitude to improve is a must 4) Ability to understand cost drivers and achieve desired cost structures 5) Good Manufacturing Process knowledge of various commodities 6) Able to lead structured supplier meetings and drive desired outcomes 7) Be an excellent negotiator, drive creative solutions & self-starter. 8) Keep up commitments on time; Be Proactive and question logically 9) Willing to learn/teach and share experiences with team members Manufacturing Process knowledge, Negotiation, Project Management, and GPDS skills Able to work in different time zone and manage relationships with regional supply base / Cross-functional / JV team; Proficiency in below competencies Negotiations Excellent Commodity Knowledge - Excellent Strategy Development - Excellent Analytical Skills - Part Cost Estimating - Good Buying Systems, Policies and Processes - Excellent Balance Sheet and Ratios - Good Analytical Skills - Lean Manufacturing - Good Project Management - Excellent Knowledge Transfer - Excellent

The primary responsibilities of the Buyer are the execution of strategies to deliver program targets, TVM goals, Global Commodity Business Plans covering regional objectives and execution of supply base development strategies Education - Bachelor degree (preferably Engineering , Business management, Supply chain and Logistics ) Experience - 3 to 10 years of related experience (Automotive buying experience preferred) The following skills and experiences are recommended qualifications for this role: Material Planning & Logistics; Product Development, Finance and other Purchasing experience Quality, Manufacturing, and Supplier Technical Assistance experience 1) Excellent research, data mining, analytical and problem-solving skills 2) Extremely good Presentation & Communication skills (written and verbal) 3) Attitude to work in a challenging environment & Attitude to improve is a must 4) Ability to understand cost drivers and achieve desired cost structures 5) Good Manufacturing Process knowledge of various commodities 6) Able to lead structured supplier meetings and drive desired outcomes 7) Be an excellent negotiator, drive creative solutions & self-starter. 8) Keep up commitments on time; Be Proactive and question logically 9) Willing to learn/teach and share experiences with team members Manufacturing Process knowledge, Negotiation, Project Management, and GPDS skills Able to work in different time zone and manage relationships with regional supply base / Cross-functional / JV team; Proficiency in below competencies Negotiations Excellent Commodity Knowledge - Excellent Strategy Development - Excellent Analytical Skills - Part Cost Estimating - Good Buying Systems, Policies and Processes - Excellent Balance Sheet and Ratios - Good Analytical Skills - Lean Manufacturing - Good Project Management - Excellent Knowledge Transfer - Excellent

Job Overview Act as a stand-alone global functional lead at a project level applying experience, knowledge and expertise for Safety Aggregate Report and Analytics (SARA) Center deliverables including but not limited to safety aggregate reports, literature surveillance, signal management activities and benefit risk management documents. Actively contribute to Lifecycle Safety global process initiatives and work in close collaboration with the safety customer delivery management team regarding project/client initiatives. Ensure team is following standard best-in-class practices established by the SARA infrastructure. Essential Functions Serve as a stand-alone global lead for aggregate reporting, signal management, or literature survellance projects. Lead, author and finalize aggregate reports, including but not limited to PBRERs/PSURs, DSURs, PADERs, RMPs, REMS, ACOs, line listings and author responses to regulatory agency/ Pharmacovigilance Risk Assessment Committee (PRAC) inquiries, as required. Act as literature lead, back-up lead, reviewer/QCers to conduct ongoing literature safety surveillance for marketed and investigational products. Assist with the identification of ICSRs from literature, evaluation of events of special interests as well as aggregate data &/or signal detection relevance review. Author and/or contribute to literature deliverables for aggregate reports &/or signal management activities meeting strict regulatory timelines. Act as Signal Management Lead on large and/or complex post-marketing and clinical trial projects. Set-up, implement, organize (including documentation) and lead safety management teams. Serve as subject matter expert across projects for complex data mining methodogies and algorithms on internal and external safety datasources. Oversee/set-up and update products signaling strategies. Oversee/author and/or QC review all types of signal management deliverables. Oversee/conduct ongoing signal detection activities as per agreed signaling strategies, perform signal validation and signal evaluation analyses for proactive and timely identification of signals and characterisation of risks . Accountable for full documentation and tracking of signals. At project level, maintain compliance, prepare metrics and KPI, present at audits and inspections. In a PV support role, act as functional lead and oversee/author and/or QC review safety responses to regulatory agencies/PRAC and justification documents to support labelling documents. Provide training to SARA staff for qualification on SARA deliverables May perform quality check of all assigned SARA deliverables be responsible for the quality of the final SARA deliverable to client regulatory, IQVIA regulatory reporting (RR), and regulatory authorties. Provide consultative guidance to internal and external stakeholders in the for all SARA deliverables. Act as mentor to and coach to project team staff and direct line reports. Interface with clients and other functional groups within Lifecycle Safety and other business units, such as Regulatory affairs Reporting (RR), Real World Late Phase (RWLP), Medical Writing, Clinical Research, Quality, Knowledge Quality Management (KQM), Pharmacovigilance Support (PVS), Project Leads (PL), Medical Safety Advisors (MSA), Qualified Persons for Pharmacovigilance (QPPV) / Pharmacovigilance Contact at National Level (PCNL), Library Information Services (LIS), Safety Operations (SO), Business development (BD) and Proposals, and Information Technology (IT), as needed Participate in internal and external audits, as required. Lead audit preparation activities in advance to audit and ensure audit readiness of project Review project files and contact lists on a regular basis to ensure compliance with SOPs Lead functional team and contribute to achievement of departmental goals e.g. utilization realization and productivity metrics. Read and acknowledge all necessary IQVIA standard operating procedures (SOPs) and customer SOPs as required. Ensure all required training is executed in a timely fashion and documented. Ensure Good Documentation Practices (GDP). Serve as the interface between the global project lead and the working team conduct regular lessons learnt with the working teams to ensure all information from the customer is cascaded to the relevant team members. Provide mentorship and training to less experienced resources. Provide regular reports to overall project manager and department management on project metrics, statement of work (SOW) changes, client requests or concerns participate in project review meetings with management communicate and document project issues to project team members and department management in a timely manner. Contribute to resource needs and resource allocation based on workload to ensure appropriate compliance with report submissions. Build a positive, collaborative team environment with SARA team members, lead by example and provide training and mentoring for local project leads and less experienced team members. Contribute and assist in global/local working groups as applicable in implementation of new operational initiatives, identification and implementation of process efficiencies. Participate in the review of existing standard operating procedures (SOPs). Proactively identify issues and propose solutions. Provide consultative guidance to internal and external stakeholders for all SARA deliverables. Suggest, drive, and implement continuous process improvements across all SARA center services. Collaborate with line managers to resolve project performance related issues of staff. Qualifications Bachelors Degree in a Scientific or Healthcare discipline Req 4 - 6 years relevant work experience pref. Equivalent combination of education, training and experience. Req Extensive knowledge of Lifecycle Safety processes, audit practices, governing safety legislation/regulation. Advanced willingness to increase knowledge across IQVIA Safety service lines and develop new skills. Advanced Extensive knowledge of applicable global, regional, local regulatory requirements. Advanced i.e. Good Clinical Practice (GCP), Good Pharmacovigilance Practice (GVP) and International Conference of Harmonization (ICH) guidelines, SOPs. Advanced Proven ability to meet strict deadlines. Advanced manage competing priorities and ability to be flexible and receptive to changing demands. Advanced Strong organizational and time management skills. Advanced Proven ability to follow instructions/guidelines, work independently and own initiative(s). Advanced Excellent attention to detail and accuracy maintaining consistently high quality standards. Advanced Excellent written/verbal communication and report writing skills. Advanced Ability to establish and maintain effective working relationships with coworkers, managers and clients. Advanced Excellent understanding of operational metrics, productivity and initiatives. Advanced Excellent project management, leadership, and mentoring skills. Advanced Excellent presentation and customer-focused skills. Advanced Excellent judgment, decision-making and problem solving skills. Advanced Encourage a flexible and receptive approach to changing demands and proven ability in the implementation of new initiatives. Advanced . We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide . Learn more at https://jobs.iqvia.com

Act as a stand-alone global functional lead at a project level applying experience, knowledge and expertise for Safety Aggregate Report and Analytics (SARA) Center deliverables including but not limited to safety aggregate reports, literature surveillance, signal management activities and benefit risk management documents. Actively contribute to Lifecycle Safety global process initiatives and work in close collaboration with the safety customer delivery management team regarding project/client initiatives. Ensure team is following standard best-in-class practices established by the SARA infrastructure. Essential Functions Serve as a stand-alone global lead for aggregate reporting, signal management, or literature survellance projects. Lead, author and finalize aggregate reports, including but not limited to PBRERs/PSURs, DSURs, PADERs, RMPs, REMS, ACOs, line listings and author responses to regulatory agency/ Pharmacovigilance Risk Assessment Committee (PRAC) inquiries, as required. Act as literature lead, back-up lead, reviewer/QCers to conduct ongoing literature safety surveillance for marketed and investigational products. Assist with the identification of ICSRs from literature, evaluation of events of special interests as well as aggregate data &/or signal detection relevance review. Author and/or contribute to literature deliverables for aggregate reports &/or signal management activities meeting strict regulatory timelines. Act as Signal Management Lead on large and/or complex post-marketing and clinical trial projects. Set-up, implement, organize (including documentation) and lead safety management teams. Serve as subject matter expert across projects for complex data mining methodogies and algorithms on internal and external safety datasources. Oversee/set-up and update products signaling strategies. Oversee/author and/or QC review all types of signal management deliverables. Oversee/conduct ongoing signal detection activities as per agreed signaling strategies, perform signal validation and signal evaluation analyses for proactive and timely identification of signals and characterisation of risks . Accountable for full documentation and tracking of signals. At project level, maintain compliance, prepare metrics and KPI, present at audits and inspections. In a PV support role, act as functional lead and oversee/author and/or QC review safety responses to regulatory agencies/PRAC and justification documents to support labelling documents. Provide training to SARA staff for qualification on SARA deliverables May perform quality check of all assigned SARA deliverables be responsible for the quality of the final SARA deliverable to client regulatory, IQVIA regulatory reporting (RR), and regulatory authorties. Provide consultative guidance to internal and external stakeholders in the for all SARA deliverables. Act as mentor to and coach to project team staff and direct line reports. Interface with clients and other functional groups within Lifecycle Safety and other business units, such as Regulatory affairs Reporting (RR), Real World Late Phase (RWLP), Medical Writing, Clinical Research, Quality, Knowledge Quality Management (KQM), Pharmacovigilance Support (PVS), Project Leads (PL), Medical Safety Advisors (MSA), Qualified Persons for Pharmacovigilance (QPPV) / Pharmacovigilance Contact at National Level (PCNL), Library Information Services (LIS), Safety Operations (SO), Business development (BD) and Proposals, and Information Technology (IT), as needed Participate in internal and external audits, as required. Lead audit preparation activities in advance to audit and ensure audit readiness of project Review project files and contact lists on a regular basis to ensure compliance with SOPs Lead functional team and contribute to achievement of departmental goals e.g. utilization realization and productivity metrics. Read and acknowledge all necessary IQVIA standard operating procedures (SOPs) and customer SOPs as required. Ensure all required training is executed in a timely fashion and documented. Ensure Good Documentation Practices (GDP). Serve as the interface between the global project lead and the working team conduct regular lessons learnt with the working teams to ensure all information from the customer is cascaded to the relevant team members. Provide mentorship and training to less experienced resources. Provide regular reports to overall project manager and department management on project metrics, statement of work (SOW) changes, client requests or concerns participate in project review meetings with management communicate and document project issues to project team members and department management in a timely manner. Contribute to resource needs and resource allocation based on workload to ensure appropriate compliance with report submissions. Build a positive, collaborative team environment with SARA team members, lead by example and provide training and mentoring for local project leads and less experienced team members. Contribute and assist in global/local working groups as applicable in implementation of new operational initiatives, identification and implementation of process efficiencies. Participate in the review of existing standard operating procedures (SOPs). Proactively identify issues and propose solutions. Provide consultative guidance to internal and external stakeholders for all SARA deliverables. Suggest, drive, and implement continuous process improvements across all SARA center services. Collaborate with line managers to resolve project performance related issues of staff. Qualifications Bachelors Degree in a Scientific or Healthcare discipline Req 4 - 6 years relevant work experience pref. Equivalent combination of education, training and experience. Req Extensive knowledge of Lifecycle Safety processes, audit practices, governing safety legislation/regulation. Advanced willingness to increase knowledge across IQVIA Safety service lines and develop new skills. Advanced Extensive knowledge of applicable global, regional, local regulatory requirements. Advanced i.e. Good Clinical Practice (GCP), Good Pharmacovigilance Practice (GVP) and International Conference of Harmonization (ICH) guidelines, SOPs. Advanced Proven ability to meet strict deadlines. Advanced manage competing priorities and ability to be flexible and receptive to changing demands. Advanced Strong organizational and time management skills. Advanced Proven ability to follow instructions/guidelines, work independently and own initiative(s). Advanced Excellent attention to detail and accuracy maintaining consistently high quality standards. Advanced Excellent written/verbal communication and report writing skills. Advanced Ability to establish and maintain effective working relationships with coworkers, managers and clients. Advanced Excellent understanding of operational metrics, productivity and initiatives. Advanced Excellent project management, leadership, and mentoring skills. Advanced Excellent presentation and customer-focused skills. Advanced Excellent judgment, decision-making and problem solving skills. Advanced Encourage a flexible and receptive approach to changing demands and proven ability in the implementation of new initiatives. Advanced

FS XSector Specialism Risk Management Level Senior Associate & Summary At PwC, our people in risk and compliance focus on maintaining regulatory compliance and managing risks for clients, providing advice, and solutions. They help organisations navigate complex regulatory landscapes and enhance their internal controls to mitigate risks effectively. In actuarial services at PwC, you will be responsible for analysing and managing financial risks for clients through statistical modelling and data analysis. Your work will generate valuable insights and recommendations to help businesses make informed decisions and mitigate potential risks. At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purposeled and valuesdriven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . & Summary The role is for a nonlife actuarial professional with 47 years of experience. You will be providing highquality consulting and technical services to our clients both in India and overseas. Focusing on nonlife insurance, you will work on actuarial consulting projects across multiple streams such as IFRS 17 implementation & assurance, audit reviews, M&A due diligence, staff augmentation etc. The role offers the opportunity to be a part of a fastpaced, growing consulting team focused on solving challenging problems through collaboration and team effort. s I. QUALIFICATION 1. 47 years of actuarial experience in Insurance or Consulting Firms in NonLife domain 2. At least 6 actuarial papers passed from IAI / IFoA as per the new curriculum 3. Prior experience with IFRS 17 / Ind AS 117 preferred 4. Prior experience of working in the India domestic market through insurance or consulting preferred II. EXPERTISE 5. Expertise in one or more of IFRS 17, reserving, pricing and product development, automation of actuarial processes 6. Thorough understanding of nonlife insurance products and Indian statutory requirements preferred 7. Excellent knowledge of Excel 8. Working knowledge of Python and / or VBA preferred III. INDIVIDUAL ATTRIBUTES 9. Strong communication and presentation skills 10. Strong analytical and problemsolving skills 11. Ability to interact with senior stakeholders 12. Works effectively in a teamoriented environment 13. Shows flexibility and adaptability in a fastpaced and constantly changing work environment. Committed to continuous learning and personal development Mandatory skill sets Non Life actuarial Preferred skill sets IFRS 17 Years of experience required 47 Years Education qualification Graduation with At least 4 actuarial papers passed from IAI / IFoA as per the new curriculum Education Degrees/Field of Study required Bachelor Degree Degrees/Field of Study preferred Required Skills IFRS 17 Accepting Feedback, Accepting Feedback, Active Listening, Actuarial Science, Analytical Thinking, Communication, Complex Data Analysis, Creativity, Embracing Change, Emotional Regulation, Empathy, Financial Data Mining, Financial Modeling, Financial Risk Analysis, Financial Risk Management, Inclusion, Intellectual Curiosity, Learning Agility, Optimism, Presenting Financial Reports, Risk Analysis, Risk Model Implementation, SelfAwareness, Statistical Analysis Software, Statistical Consulting {+ 3 more} No