775 Econometrics Jobs - Page 15

Job Description We are seeking a highly skilled Senior Data Scientist with experience in pricing optimization, pricing elasticity, and AWS SageMaker. The ideal candidate will have a strong foundation in Statistics and Machine Learning, with a particular focus on Bayesian modeling. As part of our Data Science team, you will work closely with clients to develop advanced pricing strategies using state-of-the-art tools and techniques, including AWS SageMaker, to optimize business outcomes. Key Responsibilities: Lead and contribute to the development of pricing optimization models, leveraging statistical and machine learning techniques to inform strategic decisions. Analyze pricing elasticity to predict consumer response to changes in price, helping clients maximize revenue and market share. Implement and deploy machine learning models using AWS SageMaker for scalable and efficient performance in a cloud environment. Utilize Bayesian modeling to support decision-making processes, providing insights into uncertainty and model predictions. Collaborate with cross-functional teams to integrate data-driven insights into business processes. Communicate complex results and findings in a clear and concise manner to both technical and non-technical stakeholders. Continuously explore and experiment with new modeling approaches and tools to improve accuracy and efficiency of pricing solutions. Qualifications Bachelor s or Master s degree in Data Science, Statistics Mathematics Economics, or a related field. Advanced degrees preferred. 5+ years of hands-on experience in data science, with a focus on prici

Job Description We are seeking a highly skilled Lead Data Scientist with experience in pricing optimization, pricing elasticity, and AWS SageMaker. The ideal candidate will have a strong foundation in Statistics and Machine Learning, with a particular focus on Bayesian modeling. As part of our Data Science team, you will work closely with clients to develop advanced pricing strategies using state-of-the-art tools and techniques, including AWS SageMaker, to optimize business outcomes. Key Responsibilities: Lead and contribute to the development of pricing optimization models, leveraging statistical and machine learning techniques to inform strategic decisions. Analyze pricing elasticity to predict consumer response to changes in price, helping clients maximize revenue and market share. Implement and deploy machine learning models using AWS SageMaker for scalable and efficient performance in a cloud environment. Utilize Bayesian modeling to support decision-making processes, providing insights into uncertainty and model predictions. Collaborate with cross-functional teams to integrate data-driven insights into business processes. Communicate complex results and findings in a clear and concise manner to both technical and non-technical stakeholders. Continuously explore and experiment with new modeling approaches and tools to improve accuracy and efficiency of pricing solutions. Qualifications Bachelor s or Master s degree in Data Science, Statistics Mathematics Economics, or a related field. Advanced degrees preferred. 7+ years of hands-on experience in data science, with a focus on prici

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. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Analyse and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Develop skills outside your comfort zone, and encourage others to do the same. Effectively mentor others. Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. We are looking for a seasoned Data Scientist – Manager to lead advanced analytics initiatives and drive data-driven decision-making across the organization. The ideal candidate combines deep expertise in statistical modeling, machine learning, and modern data science techniques with strong business acumen and leadership skills. The role involves solving complex problems, building scalable models, and integrating advanced AI solutions into business workflows. Key Responsibilities Data Science Leadership: Lead a team of data scientists and analysts in designing, developing, and deploying machine learning models and statistical algorithms. Mentor team members, promoting best practices in experimentation, coding, and model evaluation. Translate business problems into structured analytical solutions using robust quantitative methods. Model Development & AI Integration Develop predictive and prescriptive models using regression, tree-based methods (e.g., Random Forest), LSTM, and reinforcement learning techniques. Apply deep learning and large language models (LLMs) to extract insights from structured and unstructured data. Work closely with engineering teams to productionize models and embed them into digital products and services. Advanced Analytics & Statistical Inference Perform exploratory data analysis, sampling, and inferential testing to identify trends and actionable insights. Use econometric and time series techniques to forecast and evaluate impact, especially in economic or behavioral contexts. Apply PCA and other dimensionality reduction techniques to handle high-dimensional data. Cloud & Data Infrastructure Collaborate with data engineering teams to access and leverage data from cloud platforms (AWS, GCP, Databricks). Utilize SQL, R, and Python to extract, clean, and manipulate large datasets from relational (RDBMS) and NoSQL (e.g., MongoDB) databases. Stakeholder Engagement & Strategic Impact Partner with business stakeholders to define analytical objectives and communicate findings with clarity. Lead data science strategy and roadmap development to ensure alignment with organizational goals. Drive innovation by exploring and implementing state-of-the-art methods in AI and machine learning. Required Skills And Experience 8+ years of experience in data science, with deep proficiency in Python, SQL, and statistical modeling. Proven experience developing and deploying ML models, including deep learning and time series forecasting. Expertise in cloud platforms and data pipeline integration for scalable model delivery. Strong understanding of statistical inference, econometrics, and experimental design. Experience with LLMs and advanced language models is a plus. Excellent problem-solving, communication, and team leadership abilities. Qualifications Master’s or PhD in Data Science, Computer Science, Statistics, Economics, or a related field. Demonstrated ability to lead data science projects from concept to deployment. Strong track record of delivering impact through data science in complex business environments.

Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. We are seeking a Research Associate (Economics) with a minimum of 1-2 years of experience to join us as a freelancer and contribute to research and analysis in economic modeling and policy evaluation. Key Responsibilities: Assist in the development and analysis of economic models and forecasts. Support research projects and contribute to reports and publications. Conduct data analysis, literature reviews, and provide insights on economic trends. Required Qualifications: 1-2 years of experience in economic research. Strong skills in data analysis and econometrics. Proficiency in research tools like Stata, R, or Python. Why Join Us: Competitive pay (1200/hour). Flexible hours. Remote opportunity. NOTE Pay will vary by project and typically is up to Rs. 1200 per hour (if you work an average of 3 hours every day that could be as high as Rs. Shape the future of AI with Soul AI!

Designation: Microeconomics Faculty (Advanced) The faculty will be responsible for teaching students preparing for various entrance exams/ competitive economics exams, preparing study material, making question papers, and any other work of similar nature assigned by the company. The subject knowledge in Applied Economics , welfare economics, etc. Key Responsibilities: 1. Instruction Delivery: Deliver engaging and interactive lectures, presentations, and discussions on various topics in economics, such as microeconomics, macroeconomics, econometrics, and economic theory. Utilize effective teaching methodologies and strategies to enhance student learning and comprehension. 2. Academic Support: Assist students in understanding complex economic theories, principles, and applications through individualized guidance and mentoring. Address student queries, provide clarification, and offer additional resources to support their learning needs. Essential Requirement: 1. Must have qualified in UGC NET in economics 2. Proficiency in instructional design and delivery methods(content delivery). 3. Who have appeared for the IES(Indian Economics Services) Exam will be given preference Type: Work from Home Work type: Full time / Part time

AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Title: Data Scientist Location: Bangalore Reporting to: Senior Manager Analytics 1) Purpose of the role Contributing to the Data Science efforts of AB InBev's global forecasting team. Candidate will be required to contribute to building, interpreting and scaling forecasting models across multiple ABI markets. 2) Key tasks & accountabilities Preferred industry exposure CPG , Consulting with 3+ years (in case of consulting the typical profile would be of a Lead consultant with relevant experience mentioned in the point below) Experience of working in the domain of Forecasting Analytics preferred “preferably in a CPG organization” with a demonstrated capability of successfully deploying analytics solutions and products for internal or external clients. Has interacted with Senior internal or external stakeholders around project/ service conceptualization and plan of delivery. Exposure to AI/ML methodologies with a previous hands-on experience in ML concepts like forecasting, clustering, regression, classification, optimization, deep learning. Has experience of working on data manipulation using tools such as excel, Python. Strong proficiency in Object-Oriented Programming (OOP) principles and design patterns. Good understanding of data structures and algorithms as they relate to machine learning tasks. Experience with version control tools such as Git. Familiarity with MLOPS and containerization tools like Docker would be plus. Consistently display an intent for problem solving 3) Qualifications, Experience, Skills Level of educational attainment required B. Tech/BE/ Masters in Statistics or Economics/ econometrics, MBA Previous work experience Minimum 3 years of relevant experience. Technical Skills required Hands-on experience in data manipulation using Excel, Python. Expert level proficiency in Python(knowledge of writing end-to-end ML or data pipelines in python) Proficient in application of ML concepts and forecasting techniques to solve end-to-end business problems. Familiarity with Azure Tech Stack, Databricks, ML Flow in any cloud platform. Other Skills required Passion for solving problems using data Detail oriented, analytical and inquisitive Ability to effectively communicate and present information at various levels of an organization Ability to work independently and with others And above all of this, an undying love for beer! We dream big to create future with more cheers

About Us As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview About TII At Target, we have a timeless purpose and a proven strategy. And that hasn’t happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target’s global team and has more than 4,000 team members supporting the company’s global strategy and operations.Behind one of the world’s best loved brands is a uniquely capable and brilliant team of data scientists, engineers and analysts. The Target Data & Analytics team creates the tools and data products to sustainably educate and enable our business partners to make great data-based decisions at Target. We help develop the technology that personalizes the guest experience, from product recommendations to relevant ad content. We’re also the source of the data and analytics behind Target’s Internet of Things (iOT) applications, fraud detection, Supply Chain optimization and demand forecasting. We play a key role in identifying the test-and-measure or A/B test opportunities that continuously help Target improve the guest experience, whether they love to shop in stores or at Target.com. About The Role Join the Data Analytics (DA) team at TII across domains such as Marketing and Digital, Merchandising, Supply Chain and Logistics, Store Operations, Finance and more. Here you'll collaborate with business leaders to turn data into insights that drive strategic decisions. You’ll be part of a fast-moving, high-impact environment focused on leveraging business intelligence and advanced analytics to solve real-world problems.This role combines technical expertise with business understanding to uncover and communicate actionable insights using cutting-edge statistical and analytical techniques. Key Responsibilities Partner with business teams to deliver data-driven insights and technology solutions Develop innovative analytics solutions to support strategic initiatives Use SQL and data visualization tools to analyze structured and unstructured data Apply statistical models and machine learning techniques to measure business drivers Translate complex analysis into clear, actionable recommendations Continuously explore and adopt new tools, technologies, and methodologies Qualifications Education oBachelor’s in Engineering (B.Tech/B.E.) or oMaster’s in Statistics, Econometrics, Mathematics, or a related field Experience o2–6 years of total experience o1–3 years of relevant hands-on analytics experience Technical Skills Proficiency in SQL (joins, volatile tables, basic query optimization) Strong understanding of DW/BI concepts Experience with BI tools such as Tableau, Domo, MicroStrategy, or Qlik Programming experience in Python, R, or similar open-source technologies Knowledge of analytical techniques: regression, time-series analysis, classification, etc. Familiarity with databases: Teradata, Oracle, Hive Exposure to big data tools and frameworks like Hadoop/HDFS Preferred Experience Domain knowledge in retail, merchandising, or marketing Ability to learn new tools and adapt to evolving business needs Strong problem-solving and decision-making capabilities Excellent communication and presentation skills Curiosity-driven, detail-oriented, and collaborative mindset Proficiency in Microsoft Office Suite Useful Links- Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

We are the leading provider of professional services to the middle market globally, our purpose is to instill confidence in a world of change, empowering our clients and people to realize their full potential. Our exceptional people are the key to our unrivaled, inclusive culture and talent experience and our ability to be compelling to our clients. You’ll find an environment that inspires and empowers you to thrive both personally and professionally. There’s no one like you and that’s why there’s nowhere like RSM. We are seeking a highly analytical and detail-oriented Applied Economist or Data Scientist to join our economic research and data analytics team. This role offers the opportunity to work on a variety of high-impact projects, including economic forecasting, risk scenario modeling, macroeconomic analysis, and business intelligence reporting. The ideal candidate will bring a strong foundation in economics and data science, with hands-on experience in data visualization, Python, and advanced analytics tools such as Power BI. If you enjoy synthesizing complex data into actionable insights and communicating findings to stakeholders, we’d love to hear from you. Job Responsibilities: Contribute to economic forecasting, macroeconomic research, thought leadership, risk scenario development, and financial market analysis. Collect, manage, and analyze key datasets to generate actionable insights. Design and manage advanced reports, analytics, dashboards, and business intelligence solutions using Power BI. Conduct detailed data exploration and validation across various sources. Create intuitive data visualizations to convey complex findings to clients and internal stakeholders. Develop and maintain databases, data pipelines, and visualization tools. Analyze trends and patterns in complex data sets, troubleshoot data issues, and interpret findings. Required Qualifications, Skills, and Capabilities: Bachelor’s degree in Economics, Econometrics, Applied Economics; or in Data Science, Statistics with advanced coursework in Economics, or a related field. Proven experience in an economist, data analyst, or similar role. Proficiency in Power BI or similar data visualization platforms. Hands-on experience with Python and Microsoft Excel. Strong attention to detail, with the ability to synthesize large datasets, distill key takeaways, and communicate results clearly. Ability to work independently and collaboratively, share insights, and contribute to team efforts. Preferred Qualifications, Skills, and Capabilities: Master’s degree in Economics, Econometrics, Applied Economics; or in Data Science, Statistics with advanced coursework in Economics, or a related field. Two or more years of experience in a relevant role such as economic research or data analysis. Experience in building and applying economic models. Familiarity with artificial intelligence tools and applications. Solid grounding in traditional econometric techniques and modern machine learning methods. At RSM, we offer a competitive benefits and compensation package for all our people. We offer flexibility in your schedule, empowering you to balance life’s demands, while also maintaining your ability to serve clients. Learn more about our total rewards at https://rsmus.com/careers/india.html. RSM does not tolerate discrimination and/or harassment based on race; colour; creed; sincerely held religious beliefs, practices or observances; sex (including pregnancy or disabilities related to nursing); gender (including gender identity and/or gender expression); sexual orientation; HIV Status; national origin; ancestry; familial or marital status; age; physical or mental disability; citizenship; political affiliation; medical condition (including family and medical leave); domestic violence victim status; past, current or prospective service in the Indian Armed Forces; Indian Armed Forces Veterans, and Indian Armed Forces Personnel status; pre-disposing genetic characteristics or any other characteristic protected under applicable provincial employment legislation. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process and/or employment/partnership. RSM is committed to providing equal opportunity and reasonable accommodation for people with disabilities. If you require a reasonable accommodation to complete an application, interview, or otherwise participate in the recruiting process, please send us an email at careers@rsmus.com.

We are the leading provider of professional services to the middle market globally, our purpose is to instill confidence in a world of change, empowering our clients and people to realize their full potential. Our exceptional people are the key to our unrivaled, inclusive culture and talent experience and our ability to be compelling to our clients. You’ll find an environment that inspires and empowers you to thrive both personally and professionally. There’s no one like you and that’s why there’s nowhere like RSM. We are seeking a highly analytical and detail-oriented Applied Economist or Data Scientist to join our economic research and data analytics team. This role offers the opportunity to work on a variety of high-impact projects, including economic forecasting, risk scenario modeling, macroeconomic analysis, and business intelligence reporting. The ideal candidate will bring a strong foundation in economics and data science, with hands-on experience in data visualization, Python, and advanced analytics tools such as Power BI. If you enjoy synthesizing complex data into actionable insights and communicating findings to stakeholders, we’d love to hear from you Job Responsibilities: Contribute to economic forecasting, macroeconomic research, thought leadership, risk scenario development, and financial market analysis. Collect, manage, and analyze key datasets to generate actionable insights. Design and manage advanced reports, analytics, dashboards, and business intelligence solutions using Power BI. Conduct detailed data exploration and validation across various sources. Create intuitive data visualizations to convey complex findings to clients and internal stakeholders. Develop and maintain databases, data pipelines, and visualization tools. Analyze trends and patterns in complex data sets, troubleshoot data issues, and interpret findings. Required Qualifications, Skills, and Capabilities: Bachelor’s degree in Economics, Econometrics, Applied Economics; or in Data Science, Statistics with advanced coursework in Economics, or a related field. Proven experience in an economist, data analyst, or similar role. Experience with coaching, mentoring, and supervising staff Proficiency in Power BI or similar data visualization platforms. Hands-on experience with Python and Microsoft Excel. Strong attention to detail, with the ability to synthesize large datasets, distill key takeaways, and communicate results clearly. Ability to work independently and collaboratively, share insights, and contribute to team efforts. Preferred Qualifications, Skills, and Capabilities: Master’s degree in Economics, Econometrics, Applied Economics; or in Data Science, Statistics with advanced coursework in Economics, or a related field. Four or more years of experience in a relevant role such as economic research or data analysis. Experience in building and applying economic models. Familiarity with artificial intelligence tools and applications. Solid grounding in traditional econometric techniques and modern machine learning methods At RSM, we offer a competitive benefits and compensation package for all our people. We offer flexibility in your schedule, empowering you to balance life’s demands, while also maintaining your ability to serve clients. Learn more about our total rewards at https://rsmus.com/careers/india.html. RSM does not tolerate discrimination and/or harassment based on race; colour; creed; sincerely held religious beliefs, practices or observances; sex (including pregnancy or disabilities related to nursing); gender (including gender identity and/or gender expression); sexual orientation; HIV Status; national origin; ancestry; familial or marital status; age; physical or mental disability; citizenship; political affiliation; medical condition (including family and medical leave); domestic violence victim status; past, current or prospective service in the Indian Armed Forces; Indian Armed Forces Veterans, and Indian Armed Forces Personnel status; pre-disposing genetic characteristics or any other characteristic protected under applicable provincial employment legislation. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process and/or employment/partnership. RSM is committed to providing equal opportunity and reasonable accommodation for people with disabilities. If you require a reasonable accommodation to complete an application, interview, or otherwise participate in the recruiting process, please send us an email at careers@rsmus.com.

We are looking for a Data Scientist to help us gain useful insight from raw data. Data scientists' responsibilities include working with the data science team, planning projects, and building analytics models. You should have a strong problem-solving ability and a knack for statistical analysis. If you're also able to align our data products with our business goals, we'd like to meet you. Your ultimate goal will be to help improve our products and business decisions by making the most out of our data. Responsibilities Responsible for overseeing the data scientists' team and data specialists. Teach, lead, and counsel colleagues on new techniques or solutions. Collaborate with data and software engineers to enable the deployment of sciences and technologies that will scale across the company's ecosystem. Responsible for the conception, planning, and prioritizing of data projects. Responsible for building analytic systems and predictive models, as well as experimenting with new models and techniques. Ensure that data projects align with organizational goals. Requirements Master's degree in Computer Science, Operations Research, Econometrics, Statistics, or related technical field. 3+ years of experience solving analytical problems using quantitative approaches. Experience communicating quantitative analysis results. Knowledge of relational databases and SQL. Development experience in any scripting language (PHP, Python, Perl, etc. ). Knowledge of statistics (e. g., hypothesis testing, regression). Experience manipulating data sets through statistical software (ex., R, SAS) or other methods. Must Have Programming - Python (Preferred) / R. ML Models - i. Regression - Linear, Logistic, Multinomial, Mixed effect. Classification - Bagging and Boosting (Random Forest), Decision tree, SVM. Clustering - K-Means, hierarchical, DB-Scan. Time series - ARIMA, SARIMA, ARIMAX, Holt-Winters, Multi TS (VAR), UCM, Neural Networks (Deep learning), Naive Bayes, Excel, and SQL. Dimensionality Reduction - PCA, SVD, etc. Optimization Techniques - Linear programming, Gradient Descent, Genetic Algorithm. Cloud - Understanding of Azure / AWS offerings, setting up an ML pipeline in the cloud. Good To Have Visualization - Tableau / Power BI / Looker / QlikView. Data management - HDFS, Spark, Advanced Excel. Agile Tools - Azure DevOps, JIRA, Pyspark, Big Data/Hive Database. IDE: PyCharm. This job was posted by Debapti Roy from mPokket.

We are the leading provider of professional services to the middle market globally, our purpose is to instill confidence in a world of change, empowering our clients and people to realize their full potential. Our exceptional people are the key to our unrivaled, inclusive culture and talent experience and our ability to be compelling to our clients. You’ll find an environment that inspires and empowers you to thrive both personally and professionally. There’s no one like you and that’s why there’s nowhere like RSM. We are seeking a highly analytical and detail-oriented Applied Economist or Data Scientist to join our economic research and data analytics team. This role offers the opportunity to work on a variety of high-impact projects, including economic forecasting, risk scenario modeling, macroeconomic analysis, and business intelligence reporting. The ideal candidate will bring a strong foundation in economics and data science, with hands-on experience in data visualization, Python, and advanced analytics tools such as Power BI. If you enjoy synthesizing complex data into actionable insights and communicating findings to stakeholders, we’d love to hear from you Job Responsibilities: Contribute to economic forecasting, macroeconomic research, thought leadership, risk scenario development, and financial market analysis. Collect, manage, and analyze key datasets to generate actionable insights. Design and manage advanced reports, analytics, dashboards, and business intelligence solutions using Power BI. Conduct detailed data exploration and validation across various sources. Create intuitive data visualizations to convey complex findings to clients and internal stakeholders. Develop and maintain databases, data pipelines, and visualization tools. Analyze trends and patterns in complex data sets, troubleshoot data issues, and interpret findings. Required Qualifications, Skills, and Capabilities: Bachelor’s degree in Economics, Econometrics, Applied Economics; or in Data Science, Statistics with advanced coursework in Economics, or a related field. Proven experience in an economist, data analyst, or similar role. Experience with coaching, mentoring, and supervising staff Proficiency in Power BI or similar data visualization platforms. Hands-on experience with Python and Microsoft Excel. Strong attention to detail, with the ability to synthesize large datasets, distill key takeaways, and communicate results clearly. Ability to work independently and collaboratively, share insights, and contribute to team efforts. Preferred Qualifications, Skills, and Capabilities: Master’s degree in Economics, Econometrics, Applied Economics; or in Data Science, Statistics with advanced coursework in Economics, or a related field. Four or more years of experience in a relevant role such as economic research or data analysis. Experience in building and applying economic models. Familiarity with artificial intelligence tools and applications. Solid grounding in traditional econometric techniques and modern machine learning methods At RSM, we offer a competitive benefits and compensation package for all our people. We offer flexibility in your schedule, empowering you to balance life’s demands, while also maintaining your ability to serve clients. Learn more about our total rewards at https://rsmus.com/careers/india.html. RSM does not tolerate discrimination and/or harassment based on race; colour; creed; sincerely held religious beliefs, practices or observances; sex (including pregnancy or disabilities related to nursing); gender (including gender identity and/or gender expression); sexual orientation; HIV Status; national origin; ancestry; familial or marital status; age; physical or mental disability; citizenship; political affiliation; medical condition (including family and medical leave); domestic violence victim status; past, current or prospective service in the Indian Armed Forces; Indian Armed Forces Veterans, and Indian Armed Forces Personnel status; pre-disposing genetic characteristics or any other characteristic protected under applicable provincial employment legislation. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process and/or employment/partnership. RSM is committed to providing equal opportunity and reasonable accommodation for people with disabilities. If you require a reasonable accommodation to complete an application, interview, or otherwise participate in the recruiting process, please send us an email at careers@rsmus.com.

We are the leading provider of professional services to the middle market globally, our purpose is to instill confidence in a world of change, empowering our clients and people to realize their full potential. Our exceptional people are the key to our unrivaled, inclusive culture and talent experience and our ability to be compelling to our clients. You’ll find an environment that inspires and empowers you to thrive both personally and professionally. There’s no one like you and that’s why there’s nowhere like RSM. We are seeking a highly analytical and detail-oriented Applied Economist or Data Scientist to join our economic research and data analytics team. This role offers the opportunity to work on a variety of high-impact projects, including economic forecasting, risk scenario modeling, macroeconomic analysis, and business intelligence reporting. The ideal candidate will bring a strong foundation in economics and data science, with hands-on experience in data visualization, Python, and advanced analytics tools such as Power BI. If you enjoy synthesizing complex data into actionable insights and communicating findings to stakeholders, we’d love to hear from you. Job Responsibilities: Contribute to economic forecasting, macroeconomic research, thought leadership, risk scenario development, and financial market analysis. Collect, manage, and analyze key datasets to generate actionable insights. Design and manage advanced reports, analytics, dashboards, and business intelligence solutions using Power BI. Conduct detailed data exploration and validation across various sources. Create intuitive data visualizations to convey complex findings to clients and internal stakeholders. Develop and maintain databases, data pipelines, and visualization tools. Analyze trends and patterns in complex data sets, troubleshoot data issues, and interpret findings. Required Qualifications, Skills, and Capabilities: Bachelor’s degree in Economics, Econometrics, Applied Economics; or in Data Science, Statistics with advanced coursework in Economics, or a related field. Proven experience in an economist, data analyst, or similar role. Proficiency in Power BI or similar data visualization platforms. Hands-on experience with Python and Microsoft Excel. Strong attention to detail, with the ability to synthesize large datasets, distill key takeaways, and communicate results clearly. Ability to work independently and collaboratively, share insights, and contribute to team efforts. Preferred Qualifications, Skills, and Capabilities: Master’s degree in Economics, Econometrics, Applied Economics; or in Data Science, Statistics with advanced coursework in Economics, or a related field. Two or more years of experience in a relevant role such as economic research or data analysis. Experience in building and applying economic models. Familiarity with artificial intelligence tools and applications. Solid grounding in traditional econometric techniques and modern machine learning methods. At RSM, we offer a competitive benefits and compensation package for all our people. We offer flexibility in your schedule, empowering you to balance life’s demands, while also maintaining your ability to serve clients. Learn more about our total rewards at https://rsmus.com/careers/india.html. RSM does not tolerate discrimination and/or harassment based on race; colour; creed; sincerely held religious beliefs, practices or observances; sex (including pregnancy or disabilities related to nursing); gender (including gender identity and/or gender expression); sexual orientation; HIV Status; national origin; ancestry; familial or marital status; age; physical or mental disability; citizenship; political affiliation; medical condition (including family and medical leave); domestic violence victim status; past, current or prospective service in the Indian Armed Forces; Indian Armed Forces Veterans, and Indian Armed Forces Personnel status; pre-disposing genetic characteristics or any other characteristic protected under applicable provincial employment legislation. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process and/or employment/partnership. RSM is committed to providing equal opportunity and reasonable accommodation for people with disabilities. If you require a reasonable accommodation to complete an application, interview, or otherwise participate in the recruiting process, please send us an email at careers@rsmus.com.

Location: Bengaluru, India; Gurugram, Haryana; Hyderabad, Telangana; Kolkata, West bengal Time type: Full time Job level: Director Job type: Regular Category: Marketing and Communications ID: JR113819 About us We are the leading provider of professional services to the middle market globally, our purpose is to instill confidence in a world of change, empowering our clients and people to realize their full potential. Our exceptional people are the key to our unrivaled, inclusive culture and talent experience and our ability to be compelling to our clients. You’ll find an environment that inspires and empowers you to thrive both personally and professionally. There’s no one like you and that’s why there’s nowhere like RSM. We are seeking a highly analytical and detail-oriented Applied Economist or Data Scientist to join our economic research and data analytics team. This role offers the opportunity to work on a variety of high-impact projects, including economic forecasting, risk scenario modeling, macroeconomic analysis, and business intelligence reporting. The ideal candidate will bring a strong foundation in economics and data science, with hands-on experience in data visualization, Python, and advanced analytics tools such as Power BI. If you enjoy synthesizing complex data into actionable insights and communicating findings to stakeholders, we’d love to hear from you Job Responsibilities: Contribute to economic forecasting, macroeconomic research, thought leadership, risk scenario development, and financial market analysis. Collect, manage, and analyze key datasets to generate actionable insights. Design and manage advanced reports, analytics, dashboards, and business intelligence solutions using Power BI. Conduct detailed data exploration and validation across various sources. Create intuitive data visualizations to convey complex findings to clients and internal stakeholders. Develop and maintain databases, data pipelines, and visualization tools. Analyze trends and patterns in complex data sets, troubleshoot data issues, and interpret findings. Required Qualifications, Skills, and Capabilities: Bachelor’s degree in Economics, Econometrics, Applied Economics; or in Data Science, Statistics with advanced coursework in Economics, or a related field. Proven experience in an economist, data analyst, or similar role. Experience with coaching, mentoring, and supervising staff Proficiency in Power BI or similar data visualization platforms. Hands-on experience with Python and Microsoft Excel. Strong attention to detail, with the ability to synthesize large datasets, distill key takeaways, and communicate results clearly. Ability to work independently and collaboratively, share insights, and contribute to team efforts. Preferred Qualifications, Skills, and Capabilities: Master’s degree in Economics, Econometrics, Applied Economics; or in Data Science, Statistics with advanced coursework in Economics, or a related field. Four or more years of experience in a relevant role such as economic research or data analysis. Experience in building and applying economic models. Familiarity with artificial intelligence tools and applications. Solid grounding in traditional econometric techniques and modern machine learning methods At RSM, we offer a competitive benefits and compensation package for all our people. We offer flexibility in your schedule, empowering you to balance life’s demands, while also maintaining your ability to serve clients. Learn more about our total rewards at https://rsmus.com/careers/india.html. RSM does not tolerate discrimination and/or harassment based on race; colour; creed; sincerely held religious beliefs, practices or observances; sex (including pregnancy or disabilities related to nursing); gender (including gender identity and/or gender expression); sexual orientation; HIV Status; national origin; ancestry; familial or marital status; age; physical or mental disability; citizenship; political affiliation; medical condition (including family and medical leave); domestic violence victim status; past, current or prospective service in the Indian Armed Forces; Indian Armed Forces Veterans, and Indian Armed Forces Personnel status; pre-disposing genetic characteristics or any other characteristic protected under applicable provincial employment legislation. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process and/or employment/partnership. RSM is committed to providing equal opportunity and reasonable accommodation for people with disabilities. If you require a reasonable accommodation to complete an application, interview, or otherwise participate in the recruiting process, please send us an email at careers@rsmus.com.

Location: Bengaluru, India; Gurugram, Haryana; Hyderabad, Telangana; Kolkata, West bengal Time type: Full time Job level: Director Job type: Regular Category: Marketing and Communications ID: JR113821 About us We are the leading provider of professional services to the middle market globally, our purpose is to instill confidence in a world of change, empowering our clients and people to realize their full potential. Our exceptional people are the key to our unrivaled, inclusive culture and talent experience and our ability to be compelling to our clients. You’ll find an environment that inspires and empowers you to thrive both personally and professionally. There’s no one like you and that’s why there’s nowhere like RSM. We are seeking a highly analytical and detail-oriented Applied Economist or Data Scientist to join our economic research and data analytics team. This role offers the opportunity to work on a variety of high-impact projects, including economic forecasting, risk scenario modeling, macroeconomic analysis, and business intelligence reporting. The ideal candidate will bring a strong foundation in economics and data science, with hands-on experience in data visualization, Python, and advanced analytics tools such as Power BI. If you enjoy synthesizing complex data into actionable insights and communicating findings to stakeholders, we’d love to hear from you. Job Responsibilities: Contribute to economic forecasting, macroeconomic research, thought leadership, risk scenario development, and financial market analysis. Collect, manage, and analyze key datasets to generate actionable insights. Design and manage advanced reports, analytics, dashboards, and business intelligence solutions using Power BI. Conduct detailed data exploration and validation across various sources. Create intuitive data visualizations to convey complex findings to clients and internal stakeholders. Develop and maintain databases, data pipelines, and visualization tools. Analyze trends and patterns in complex data sets, troubleshoot data issues, and interpret findings. Required Qualifications, Skills, and Capabilities: Bachelor’s degree in Economics, Econometrics, Applied Economics; or in Data Science, Statistics with advanced coursework in Economics, or a related field. Proven experience in an economist, data analyst, or similar role. Proficiency in Power BI or similar data visualization platforms. Hands-on experience with Python and Microsoft Excel. Strong attention to detail, with the ability to synthesize large datasets, distill key takeaways, and communicate results clearly. Ability to work independently and collaboratively, share insights, and contribute to team efforts. Preferred Qualifications, Skills, and Capabilities: Master’s degree in Economics, Econometrics, Applied Economics; or in Data Science, Statistics with advanced coursework in Economics, or a related field. Two or more years of experience in a relevant role such as economic research or data analysis. Experience in building and applying economic models. Familiarity with artificial intelligence tools and applications. Solid grounding in traditional econometric techniques and modern machine learning methods. At RSM, we offer a competitive benefits and compensation package for all our people. We offer flexibility in your schedule, empowering you to balance life’s demands, while also maintaining your ability to serve clients. Learn more about our total rewards at https://rsmus.com/careers/india.html. RSM does not tolerate discrimination and/or harassment based on race; colour; creed; sincerely held religious beliefs, practices or observances; sex (including pregnancy or disabilities related to nursing); gender (including gender identity and/or gender expression); sexual orientation; HIV Status; national origin; ancestry; familial or marital status; age; physical or mental disability; citizenship; political affiliation; medical condition (including family and medical leave); domestic violence victim status; past, current or prospective service in the Indian Armed Forces; Indian Armed Forces Veterans, and Indian Armed Forces Personnel status; pre-disposing genetic characteristics or any other characteristic protected under applicable provincial employment legislation. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process and/or employment/partnership. RSM is committed to providing equal opportunity and reasonable accommodation for people with disabilities. If you require a reasonable accommodation to complete an application, interview, or otherwise participate in the recruiting process, please send us an email at careers@rsmus.com.

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do? AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Description Job Title: Senior Data Scientist Location: Bangalore Reporting to: Senior Manager Analytics Purpose of the role Contributing to the Data Science efforts of AB InBevʼs global non-commercial analytics capability of Supply Chain Analytics. Candidate will be required to contribute and may also need to guide the DS team staffed on the area and assess the efforts required to scale and standardize the use of Data Science across multiple ABI markets. Key tasks & accountabilities Understand the business problem and and translate that to an analytical problem; participate in the solution design process. Working with Analytics Manager to create project plan, and design analytics roadmap. Independently lead project delivery. End to end development of AI/ML models. Ability to communicate findings clearly to both technical and business stakeholders Should be able to quantify the impact, and continuously implement improvements. Document every aspect of the project in standard ways. 3. Qualifications, Experience, Skills Level Of Educational Attainment Required B.Tech/BE/ Masters in Statistics or Economics/ econometrics, MBA Previous Work Experience Minimum 5 years of relevant experience. Preferred industry exposure CPG, Consulting with 5+ years (in case of consulting the typical profile would be of a Lead consultant with relevant experience mentioned in the point below). Experience of working in the domain of Supply Chain Analytics preferred (assessment of the pillars to be made on the past companies of the candidate) “preferably in a CPG organization” with a demonstrated capability of successfully deploying analytics solutions and products for internal or external clients. Has interacted with Senior internal or external stakeholders around project/ service conceptualization and plan of delivery. Technical Skills Required Hands-on experience in data manipulation using Excel, Python, SQL. Expert level proficiency in Python (knowledge of writing end-to-end ML or data pipelines in python). Proficient in application of ML concepts and optimization techniques to solve end-to-end business problems Familiarity with Azure Tech Stack, Databricks, ML Flow in any cloud platform. Other Skills Required Demonstrated leadership skills. Passion for solving problems using data. Detail oriented, analytical and inquisitive. And above all of this, an undying love for beer! We dream big to create future with more cheers

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do? AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Description Job Title: Senior Data Scientist Location: Bangalore Reporting to: Senior Manager Analytics Purpose of the role Contributing to the Data Science efforts of AB InBevʼs global commercial analytics capability of Sales & Distribution Analytics. Work with internal stakeholders at ABI to understand their business problems, translate those problems into statistical problems like survey design, experiment design, optimization, forecasting, etc which can best address those business problems, work with statistical experts to develop robust models and generate business insights. Key tasks & accountabilities Understand the business problem and translate that to an analytical problem; participate in the solution design process. Storyboarding and presenting the insights to stakeholders & senior leadership. Independently lead project delivery. Working with Analytics Manager to create project plan, and design analytics roadmap. End to end development and deployment of machine learning or deep learning models. Ability to communicate findings clearly to both technical and business stakeholders. Should be able to quantify the impact, and continuously implement improvements. Document every aspect of the project in standard ways. Summarize insights and recommendations to be presented back to the business. Use innovative methods to continuously improve the quality of statistical models. 3. Qualifications, Experience, Skills Level Of Educational Attainment Required. Bachelor’s or master’s degree in engineering, Statistics, Applied Statistics, Economics, Econometrics, Operations Research or any other quantitative analysis. Previous work experience required: 6+ years in data science role, preferably in CPG domain Expert level proficiency in Python (knowledge of classes, decorators, written end-to-end ML or Software or data pipelines in python) Experience working with SQL (knowledge of data warehouses, different databases, and fundamentals about RDBMS) Experience working with Azure (ADLS, Databricks, Azure SQL or Postgres, app services and related) Well versed with Machine learning and Deep learning algorithms implementation Exposure to working with complex datasets, machine learning and DL libraries like scikit-learn, TensorFlow, Keras, Pytorch etc. Capable of building insightful visualizations in Python Good to have –category management, Optimization techniques, knowledge of html, CSS, JS, YAML/docker & has worked on Dash /Flask /Django or any web application framework. Technical Skills Required Hands-on experience in data manipulation using Excel, Python, SQL. Expert level proficiency in Python (knowledge of writing end-to-end ML or data pipelines in python). Proficient in application of ML concepts and optimization techniques to solve end-to-end business problems. Familiarity with Azure Tech Stack, Databricks, ML Flow in any cloud platform. Other Skills Required. Demonstrated leadership skills. Passion for solving problems using data. Detail oriented, analytical, and inquisitive Ability to work independently and with others. Takes responsibility and makes effective decisions. Problem solving Planned and organized. And above all of this, an undying love for beer! We dream big to create future with more cheers.

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do? AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Description Job Title: Senior Data Scientist Location: Bangalore Reporting to: Senior Manager Analytics Purpose of the role As a Senior Data Scientist , you will play a pivotal role in advancing AB InBev’s global Non-Commercial Analytics initiatives. You will lead data science efforts, guiding the team to scale and standardize AI-driven solutions across multiple ABI markets. This role requires a strong mix of hands-on technical expertise, stakeholder management, and a vision for driving AI innovation at scale. Key tasks & accountabilities Lead and execute end-to-end data science projects, from data collection and preprocessing to model development, deployment, and performance monitoring. Mentor and guide junior data scientists, fostering a culture of innovation and continuous learning. Work closely with cross-functional stakeholders to understand business needs, gather feedback, and align AI solutions with strategic objectives. Present complex insights to non-technical stakeholders, translating data-driven findings into actionable business strategies. Hands-on experience with AI/ML methodologies, including forecasting, clustering, regression, classification, optimization, deep learning, and Generative AI. Expertise in data manipulation using Python, SQL, and Excel. Strong understanding of Object-Oriented Programming (OOP), data structures, and algorithms for machine learning applications. Experience with OCR technologies (both open-source and enterprise-grade tools). Exposure to ML Ops and containerization tools like Docker is a plus. Familiarity with Azure Tech Stack, Databricks, and ML Flow. Drive the development of scalable AI/ML solutions that can be leveraged across multiple markets. Passion for building large-scale, AI-powered products, ensuring seamless integration with business workflows. Stay updated with emerging trends in AI and data science, continuously improving methodologies and tools. 3. Qualifications, Experience, Skills Level of educational attainment required (1 or more of the following) B.Tech/BE/ Masters in Statistics or Economics/ econometrics, MBA. Previous Work Experience Minimum 5 years of relevant experience. Technical Skills Required Strong programming skills in Python (ability to build end-to-end ML/data pipelines is a plus). Experience with Large Language Models (LLMs) and their application in solving business problems. Hands-on expertise in statistical analysis, ML concepts, and optimization techniques. Experience in building and deploying large-scale software applications. Proficiency in Git for version control. Strong problem-solving and critical thinking abilities. Passion for solving complex business challenges using data-driven insights. Detail-oriented, analytical, and highly inquisitive. Curious, fast learner, and a strong team player. Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders. And above all of this, an undying love for beer! We dream big to create future with more cheers

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do? AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Description Job Title: Senior Data Scientist Location: Bangalore Reporting to: Senior Manager Analytics Purpose of the role Contributing to the Data Science efforts of AB InBevʼs global non-commercial analytics capability of Supply Chain Analytics. Candidate will be required to contribute and may also need to guide the DS team staffed on the area and assess the efforts required to scale and standardize the use of Data Science across multiple ABI markets. Key tasks & accountabilities Understand the business problem and and translate that to an analytical problem; participate in the solution design process Working with Analytics Manager to create project plan, and design analytics roadmap Independently lead project delivery End to end development of AI/ML models Ability to communicate findings clearly to both technical and business stakeholders Should be able to quantify the impact, and continuously implement improvements Document every aspect of the project in standard ways 3. Qualifications, Experience, Skills Level Of Educational Attainment Required B.Tech/BE/ Masters in Statistics or Economics/ econometrics, MBA Previous Work Experience Minimum 5 years of relevant experience Preferred industry exposure CPG, Consulting with 5+ years (in case of consulting the typical profile would be of a Lead consultant with relevant experience mentioned in the point below) Experience of working in the domain of Supply Chain Analytics preferred (assessment of the pillars to be made on the past companies of the candidate) “preferably in a CPG organization” with a demonstrated capability of successfully deploying analytics solutions and products for internal or external clients Has interacted with Senior internal or external stakeholders around project/ service conceptualization and plan of delivery. Technical Skills Required Hands-on experience in data manipulation using Excel, Python, SQL Expert level proficiency in Python (knowledge of writing end-to-end ML or data pipelines in python) Proficient in application of ML concepts and optimization techniques to solve end-to-end business problems Familiarity with Azure Tech Stack, Databricks, ML Flow in any cloud platform Other Skills Required Demonstrated leadership skills. Passion for solving problems using data. Detail oriented, analytical and inquisitive. Ability to work independently and with others. And above all of this, an undying love for beer! We dream big to create future with more cheers .

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Craft and convey clear, impactful and engaging messages that tell a holistic story. Apply systems thinking to identify underlying problems and/or opportunities. Validate outcomes with clients, share alternative perspectives, and act on client feedback. Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations. Deepen and evolve your expertise with a focus on staying relevant. Initiate open and honest coaching conversations at all levels. Make difficult decisions and take action to resolve issues hindering team effectiveness. Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Educational Background Desired candidate must have a master’s degree or higher in a quantitative discipline such as Economics, Statistics, Mathematics, Operation Research, Econometrics, Data Science, Finance, Engineering + MBA; advanced degree is a plus; Industry relevant certifications in CQF, FRM, CFA, CPA certification is a plus Additional Requirement Candidates aspirant of senior positions at PwC Risk CoE are expected to possess: Proven consulting skills to structure vague problems at hand and conceptualizing solutions Credentials in leading and driving large and or complex risk analytics engagements and initiatives independently Experience in supporting sales pursuits for risk analytics offerings and solutions Ability to manage multiple engagements simultaneously along with leading people and initiatives Strong conceptual understanding of various functional/technical skills Ability to drive innovation and thought leadership in the risk management domain Intellectual property, patents and exclusive rights on any innovative solution is a plus

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Analyse and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Develop skills outside your comfort zone, and encourage others to do the same. Effectively mentor others. Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Additional Job Description Non-functional skill requirements: In order to succeed in PwC Risk CoE, it is desirable for candidates to possess: Understanding of market trends and demands in the financial services sector and issues faced by clients by staying abreast of current business and industry trends relevant to the client's business Excellent oral and written communication skills Solid analytical and problem-solving skills; ability to isolate and solve issues using large amounts of data Process orientation with strong technical skills and attention to detail Deep technical capabilities and industry knowledge of financial products Willingness to travel to meet client needs, as needed Educational Background Desired candidate must have a master’s degree or higher in a quantitative discipline such as Economics, Statistics, Mathematics, Operation Research, Econometrics, Data Science, Finance, Engineering + MBA; advanced degree is a plus; Industry relevant certifications in CQF, FRM, CFA, CPA certification is a plus Additional Requirement For Senior Positions Candidates aspirant of senior positions at PwC Risk CoE are expected to possess: Proven consulting skills to structure vague problems at hand and conceptualizing solutions Credentials in leading and driving large and or complex risk analytics engagements and initiatives independently Experience in supporting sales pursuits for risk analytics offerings and solutions Ability to manage multiple engagements simultaneously along with leading people and initiatives Strong conceptual understanding of various functional/technical skills Ability to drive innovation and thought leadership in the risk management domain Intellectual property, patents and exclusive rights on any innovative solution is a plus

State Street - Investment Strategy & Research Intern State Street Global Advisors (SSGA), one of the world’s largest institutional asset managers, is the investment management arm of State Street Bank and Trust Company, a wholly owned subsidiary of State Street Corporation, a leading provider of financial services to institutional investors. Investment Strategy & Research is the investment team of State Street Global Advisors that conducts multi-asset class research, complex portfolio analytics and develops customized solutions to portfolio requirements for institutional clients globally. Responsibilities Holdings- and returns-based absolute & benchmark relative risk analysis on single asset class and multi asset class portfolios using risk models to understand exposure to factors Performance attribution, and custom client-driven analysis using proprietary tools Analysis of existing and proposed downside risk management portfolio overlays Constructing optimal strategic asset allocation as per target risk, return, yield requirements and investment and regulatory constraints and backtest them Perform forward looking simulations on various portfolio attributes and conduct historical stress testing and custom scenario analysis Producing capital market assumptions for various asset classes on a quarterly basis adding new asset classes and improvising existing forecasting methodology Develop a quantitative understanding of passive, smart beta, enhanced and active strategies for equity and fixed income and an investment intuition around markets and macro The role will expand over time to incorporate broader responsibility, to be accountable for timely deliverables on client portfolio research, analytics projects, to participate in long term thematic research and to maintain relationship with global stakeholders Qualifications: Master's Degree in finance, econometrics, science or another highly quantitative subject Understanding of investment analysis and investment process, investment styles such as value/growth investing, factor investing etc. Familiarity with Institutional Investment Practices and Buy Side Portfolio Management concepts Excellent interpersonal, communication and presentation skills Preference to 2-3 years of experience in the investment management industry Familiarity with investment research and data vendors (e.g., Bloomberg, Reuters, Factset, BarraOne, Axioma, Morningstar Direct and portfolio management systems) Proficiency with a statistical software package such as Matlab or R Experience of writing technical and research reports Chartered Financial Analyst (CFA) and Financial Risk Manager (FRM) certifications- completed or in progress Self-driven and initiative led behavior Preferred Coursework Mathematical & Statistical Methods Econometric Methods Applied Econometrics Security Analysis and Portfolio Management Derivatives & Risk Management Financial Engineering Quantitative Analysis of International Trade Introduction to Financial Mathematics About State Street What we do. State Street is one of the largest custodian banks, asset managers and asset intelligence companies in the world. From technology to product innovation, we’re making our mark on the financial services industry. For more than two centuries, we’ve been helping our clients safeguard and steward the investments of millions of people. We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients. Work, Live and Grow. We make all efforts to create a great work environment. Our benefits packages are competitive and comprehensive. Details vary by location, but you may expect generous medical care, insurance and savings plans, among other perks. You’ll have access to flexible Work Programs to help you match your needs. And our wealth of development programs and educational support will help you reach your full potential. Inclusion, Diversity and Social Responsibility. We truly believe our employees’ diverse backgrounds, experiences and perspectives are a powerful contributor to creating an inclusive environment where everyone can thrive and reach their maximum potential while adding value to both our organization and our clients. We warmly welcome candidates of diverse origin, background, ability, age, sexual orientation, gender identity and personality. Another fundamental value at State Street is active engagement with our communities around the world, both as a partner and a leader. You will have tools to help balance your professional and personal life, paid volunteer days, matching gift programs and access to employee networks that help you stay connected to what matters to you. State Street is an equal opportunity and affirmative action employer. Discover more at StateStreet.com/careers

JD 1: SIS – DQM- Data Quality team (C09) About us: AIM is a global community that is driving data driven transformation across Citi in multiple functions with the objective to create actionable intelligence for our business leaders. We are a fast growing organization working with Citi businesses and functions across the world. What do we offer: DQM team manages the implementation of best in class data quality measurement programs for US region, retail consumer bank. The critical areas we support: Regulatory Support : Execution of business data quality measurements as per regulatory programs like CCAR, AML etc DQ rules Design : Identification of critical data elements in different systems, data quality rules design, testing and validation of rules Data Governance : Standardization of data definitions and ensuring consistency in measurement as per definitions across systems/products/regions DQ Score cards : Publishing monthly/quarterly score cards at product level and preparing executive summary reports for senior management Issue Management : Identifying defects and investigating root causes for different issues. Following up with stakeholders for resolution as per SLA Audit Support : Identifying cases on control gaps, policy breaches and providing data evidence for audit completion Expertise Required: Analytical Skills Data analysis and visualization Proficient in formulating analytical methodology, identifying trends and patterns with data Generate actionable Business Insights (Preferred) - Tools and Platforms Good exposure to SAS or SQL Good in MS Excel Domain Skills Good understanding of Data definitions and data discovery Data quality framework Data Governance Data Warehouse Knowledge Data definitions and data discovery Data Catalog , Data Lineage and Data Dictionaries (Preferred) - Knowledge of Finance Regulations, Understanding or Retail Business Soft Skills Ability to identify, clearly articulate and solve complex business problems and present them to the management in a structured and simpler form Should have excellent communication and inter-personal skills Good process management skills Ability to work in teams Educational and Experience: MBA / Mathematics / Information Technology / Computer Applications / Engineering from a premier institute. BTech / B.E in Information Technology / Information Systems / Computer Applications (Preferred) Post Graduate in – Computer Science, Mathematics, Operations Research, Econometrics, Management Science and related fields 1 to 2 years of hands on experience in delivering data quality solutions - Job Family Group: Decision Management - Job Family: Data/Information Management - Time Type: Full time - Most Relevant Skills Please see the requirements listed above. - Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. - Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

About The Team At Uber, we reimagine the way the world moves for the better. There are several operations and technologies that enable this mission and Uber's GSS (Global Scaled Solutions) organization leads many of those capabilities such as data annotation for AI/ML innovation, app testing, localization/internationalization, map editing, data analytics, engineering and more. We combine technology and human intelligence optimally to run scaled programs. At GSS, we deliver high quality scaled programs in operations, technology and data analytics for various Uber businesses, leveraging our deep vendor partner network capabilities to carry out the program execution. We are also extending our impact and reach beyond Uber - our tech+ops solutions coupled with Uber's strength of building a platform for flexible work will enable enterprises world-wide to accelerate their data, AI and product journeys. While we do this, we look forward to creating flexible earnings opportunities through online tasks for millions of people across the world. Together, our tech, operations expertise and platform for knowledge work are uniquely positioned to be the best-in-class human in the loop solution for the industry. About The Role We are looking for an exceptional candidate to lead a portfolio of programs in the domain of data analytics, data engineering, reporting and insights, in the Data Analytics Services team of GSS. You will be responsible for scaling and overseeing company-wide programs focussed around data analytics services. You will have the opportunity to drive the analysis behind various product, engineering and operations related decisions @ Uber. You will perform a range of activities demonstrating your analytical thought leadership and will be involved in leading multiple data-driven projects. You will be leading a team of program managers in the domains of data analytics, data engineering and reporting, as well as help manage large vendor operations across multiple sites in driving this charter forward. What You Will Do ---- Program delivery leadership - lead multiple data analytics programs at Uber, with the scope including (but not limited to) Metrics and KPI design and development BI, dashboards and reporting solutions design and development Data engineering for analytics - pipelines, data mart design and implementation Analytical deep dives, insights generation Insights for experimentation (e.g., A/B testing) and other product initiatives Vendor delivery management - develop, manage and maintain vendor relationships and delivery in the domains of data analytics, including their delivery performance and quality, vendor talent sourcing and selection, managing cost and financials, run vendor transitions when needed Team management - develop, coach and mentor the team (including team leads) consisting of data analytics/engineering program managers and analysts, and enable their career development and performance management Stakeholder management - engage with and actively manage the business relationships with Uber (and when needed, external) stakeholders across product, operations, engineering and other teams globally, with the ability to represent Data Analytics Services deeply, and the rest of GSS capabilities in general as well Innovation and thought leadership - identify opportunities for automation and self service products and solutions in the data analytics domain, leverage leading disruptive technologies like genAI, and implement them at scale to realize business impact Best practices - continually improve ways of work, enhance delivery maturity, elevate governance and impact Culture champion - participate at GSS level overall, to drive organizational culture What You Will Need ---- 10+ years of experience in the domains of data analytics, data engineering, reporting, insights generation - both from a technical perspective as well as in a consultative manner - solving for complex problems at scale Technical familiarity and experience with leading data analytics tools and softwares (python, SQL, google suite and others) Experience in stakeholder management - with internal or external 'client' stakeholders at senior levels, ability to engage strategically as well as manage tactical governance Excellent team management and supervisory skills Familiarity with managing vendors, or deep experience working in a client-vendor setup Strong ability to communicate, bring clarity of thought in messaging for senior management as well as broader teams Track record of driving innovation and continuous improvement in data analytics services Strong collaboration skills and abilities - working across silos and team structures to drive impact effectively Ability to work in a global organization across locations and time zones Preferred Qualifications Education in technical domains like engineering, econometrics, statistics, business management Familiarity with software product/tech domain is a plus Strong business acumen, willingness to take smart risks and grow Ability to get hands-on and go deep and be very detail oriented where needed, and zoom out to see and manage the big picture Sense of ownership - self starter who can take a charter and define goals, execute plans Experience in handling large teams, and senior tenured reportees Familiarity with genAI tech and tools, industry-leading ML capabilities as they apply to data analytics, is a plus. Ability to understand what new tech/tools can do, and be able to apply them in the context of business Good prioritization and time management skills

JD 1: SIS – DQM- Data Quality team (C09) About us: AIM is a global community that is driving data driven transformation across Citi in multiple functions with the objective to create actionable intelligence for our business leaders. We are a fast growing organization working with Citi businesses and functions across the world. What do we offer: DQM team manages the implementation of best in class data quality measurement programs for US region, retail consumer bank. The critical areas we support: Regulatory Support: Execution of business data quality measurements as per regulatory programs like CCAR, AML etc DQ rules Design: Identification of critical data elements in different systems, data quality rules design, testing and validation of rules Data Governance: Standardization of data definitions and ensuring consistency in measurement as per definitions across systems/products/regions DQ Score cards : Publishing monthly/quarterly score cards at product level and preparing executive summary reports for senior management Issue Management: Identifying defects and investigating root causes for different issues. Following up with stakeholders for resolution as per SLA Audit Support: Identifying cases on control gaps, policy breaches and providing data evidence for audit completion Expertise Required: Analytical Skills Data analysis and visualization Proficient in formulating analytical methodology, identifying trends and patterns with data Generate actionable Business Insights (Preferred) - Tools and Platforms Good exposure to SAS or SQL Good in MS Excel Domain Skills Good understanding of Data definitions and data discovery Data quality framework Data Governance Data Warehouse Knowledge Data definitions and data discovery Data Catalog , Data Lineage and Data Dictionaries (Preferred) - Knowledge of Finance Regulations, Understanding or Retail Business Soft Skills Ability to identify, clearly articulate and solve complex business problems and present them to the management in a structured and simpler form Should have excellent communication and inter-personal skills Good process management skills Ability to work in teams Educational and Experience: MBA / Mathematics / Information Technology / Computer Applications / Engineering from a premier institute. BTech / B.E in Information Technology / Information Systems / Computer Applications (Preferred) Post Graduate in – Computer Science, Mathematics, Operations Research, Econometrics, Management Science and related fields 1 to 2 years of hands on experience in delivering data quality solutions ------------------------------------------------------ Job Family Group: Decision Management ------------------------------------------------------ Job Family: Data/Information Management ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

Principal Applied Scientist Hyderabad, Telangana, India + 1 more location Date posted Jun 27, 2025 Job number 1822857 Work site Microsoft on-site only Travel 0-25 % Role type Individual Contributor Profession Research, Applied, & Data Sciences Discipline Applied Sciences Employment type Full-Time Overview How would you like to do the AI research and directly affect the lives of billions of humans? Would you like to be responsible for models and code running across tens of thousands of machines across datacenters around the world? What if you could multiply your impact by making developers around the world better? If you like building highly motivated and productive teams, we have got interesting opportunities for you. Our team focuses on strategic workloads like M365 Copilot App, Outlook, Teams, Copilot Extensibility, and all productivity applications in M365. The team obsesses about powering workloads with AI and innovates on next generation engineering infrastructure, tooling using AI. This provides every engineer with exceptional opportunities for rich learning, end-to-end ownership, autonomy, innovation and professional growth. Our team of Principal Applied Scientists is chartered to tackle a wide variety of challenges, from building data ingestion to curating data to fine tuning prompts and models. The scientists focus on evaluation metrics to make purpose-built SLMs to infuse AI in productivity scenarios. Every member of this team is expected to collaborate with other teams across Microsoft that are building AI platforms, models and products. She is expected to lead the feature crews with a growth mindset for embracing and extending the rapidly evolving innovations and breakthroughs in this field. Microsoft is committed to Responsible AI and digital safety for all. Every member of the team is expected to work through these frameworks to preserve our commitment to responsible AI while innovating rapidly. She needs to be self-driven, proactive, results-oriented and ready to work with minimal ongoing direction to succeed in this environment of rapid changes and building products from grounds up. The M365 org plays a pivotal role in powering end user experiences (copilots and beyond) powered by highly relevant search capability leveraging M365 eco system. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Qualifications Required Qualifications: Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. 5+ years of working in an AI research facility or working with software services / experiences infused with AI. Strong customer focus and passion for doing the right thing for the customer. Proven ability to establish trusted, effective relationships across diverse sets of stakeholders. Excellent communication skills and cross group collaboration. Ability to keep pace with rapid innovations in the field and to be creative to solve problems with no past techniques. Experience in developing / working with highly scalable classifiers, ranking algorithms, SL. Preferred Qualifications: PhD with Computer Science with Data Science focus, Mathematics, Statistics, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) Master’s degree with Computer Science with Data Science focus, Mathematics, Statistics, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor’s degree with Computer Science with Data Science focus, Mathematics, Statistics, or related field AND 8+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. Responsibilities You will master a broad area or research and understand any applicable research techniques. You’ll also serve as a team expert on changes in industry trends, products, and other advances, and apply this knowledge to influence product needs. You will review business and product requirement, incorporate research, and provide strategic direction for problem solving. You’ll also ensure scientific rigor, support the development of methods, and apply your expertise to support business impact. You will identify and inspire peers and new research talent to join Microsoft, build relationships, and advocate for research initiatives. You’ll share research findings through industry outreach, collaborate with the academic community, and help develop the recruiting pipeline. You will document work and experimentation results and share findings to promote innovation. You’ll provide guidance when capturing processes and contribute to ethics and privacy policies related to research processes and data collection. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.