358 Econometrics Jobs - Page 5

At Zimmer Biomet, we believe in pushing the boundaries of innovation and driving our mission forward. As a global medical technology leader for nearly 100 years, a patient’s mobility is enhanced by a Zimmer Biomet product or technology every 8 seconds. As a Zimmer Biomet team member, you will share in our commitment to providing mobility and renewed life to people around the world. To support our talent team, we focus on development opportunities, robust employee resource groups (ERGs), a flexible working environment, location specific competitive total rewards, wellness incentives and a culture of recognition and performance awards. We are committed to creating an environment where every team member feels included, respected, empowered and recognised. What You Can Expect Data Scientist Role Design and Implement Advanced Analytics Solutions: Develop, deploy, and manage data-driven models and algorithms in R/Python to drive actionable insights, with a focus on optimizing inventory and asset allocation, reducing freight costs, and enhancing customer satisfaction. Deliver Business Insights: Collaborate with subject matter experts to provide meaningful analytics and insights that directly inform decision-making processes in Commercial Operations. Develop and Optimize Reporting Infrastructure: Build, maintain, and enhance data pipelines and architecture to support automated, scalable reporting solutions that leverage data from diverse sources. Enhance Customer Experience with Data-Driven Tools: Create and refine analytics tools, dashboards, and KPIs that empower Customer Service teams to improve customer experience and satisfaction effectively. Ensure Data Integrity and Quality: Design and implement robust data validation techniques and algorithms to improve and maintain the accuracy, consistency, and reliability of data across systems. Drive Cross-Functional Data Projects: Lead and coordinate global data-driven initiatives, ensuring seamless collaboration across teams in APAC and globally within Commercial Operations What Makes You Stand Out Exceptional quantitative abilities with a demonstrated capacity for tackling complex problems through structured, data-driven approaches. Extensive experience in leveraging analytical tools and software packages, particularly Python or R, to derive actionable insights and support data-driven decision-making. Excellent written and verbal communication skills, with the ability to convey technical findings clearly and persuasively to diverse stakeholders. Proven ability to thrive both independently and within collaborative, cross-functional team environments. Familiarity with integrated development environments (IDEs) and version control systems like Git is a strong advantage. Strong ability to communicate complex ideas clearly and effectively across all levels of the organization, from technical teams to senior management. Your Background Bachelor’s or Master’s degree in a relevant quantitative discipline such as Mathematics, Computer Science, Engineering, or Econometrics. Minimum of 3 years of experience in a data analytics role, with a demonstrated track record of leading data analytics projects showcasing significant individual contributions and ownership. Proficient in working with SQL-based databases and programming in high-level languages such as R and Python. Experience with machine learning algorithms and optimization techniques is highly desirable. Data Visualization and BI Tools: Familiarity with Microsoft products and business intelligence tools like Power BI and Tableau is a strong advantage. Fluent in English, with strong communication skills suitable for both technical and business contexts. Travel Expectations Willingness to travel up to 10% of the time as needed for business purposes. EOE/M/F/Vet/Disability 5294 Show more Show less

FairMoney is a pioneering mobile banking institution specializing in extending credit to emerging markets. Established in 2017, the company currently operates primarily within Nigeria, and it has secured nearly €50 million in funding from renowned global investors, including Tiger Global, DST, and Flourish Ventures. In alignment with its vision, FairMoney is actively constructing the foremost mobile banking platform and point-of-sale (POS) solution tailored for emerging markets. The journey began with the introduction of a digital microcredit application exclusively available on Android and iOS devices. Today, FairMoney has significantly expanded its range of services, encompassing a comprehensive suite of financial products, such as current accounts, savings accounts, debit cards, and state-of-the-art POS solutions designed to meet the needs of both merchants and agents. FairMoney thrives on its diverse workforce, bringing together talent from over 27 nationalities. This multicultural team drives the company's mission of reshaping financial services for underserved communities.To gain deeper insights into FairMoney's pivotal role in reshaping Africa's financial landscape, we invite you to watch informative video. Job Summary: Your mission is to develop data science-driven algorithms and applications to improve decisions in business processes like risk and debt collection, offering the best-tailored credit services to as many clients as possible. Requirements Strong background in Mathematics / Statistics / Econometrics / Computer science or related field 5+ years of work experience in analytics, data mining, and predictive data modelling, preferably in the fintech domain Being best friends with Python and SQL Hands-on experience in handling large volumes of tabular data Strong analytical skills: ability to make sense out of a variety of data and its relation/applicability to a specific business problem Feeling confident working with key Machine learning algorithms (GBM, XG-Boost, Random Forest, Logistic regression) Being at home building and deploying models around credit risk, debt collection, fraud, and growth . Track record of designing, executing and interpreting A/B tests in business environment . Strong focus on business impact and experience driving it end-to-end using data science applications . Strong communication skills Being passionate about all things data. Our tool stack Programming language: Python Production: Python API deployed on Amazon EKS (Docker, Kubernetes, Flask) ML: Scikit-Learn, LightGBM, XGBoost, shap ETL: Python, Apache Airflow Cloud: AWS, GCP Database: MySQL DWH: BigQuery, Snowflake BI: Tableau, Metabase, dbt Streaming Applications: Flink, Kinesis Role and Responsibilities Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions Mine and analyze data from company databases and external data sources to drive optimization and improvement of risk strategies, product development, marketing techniques, and other business decisions Assess the effectiveness and accuracy of new data sources and data gathering techniques Use predictive modelling to increase and optimize customer experiences, revenue generation, and other business outcomes Coordinate with different functional teams to make the best use of developed data science applications Develop processes and tools to monitor and analyze model performance and data quality Apply advanced statistical and data mining techniques in order to derive patterns from the data Own data science projects end-to-end and proactively drive improvements in both data Benefits Paid Time Off (25 days Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Training & Development budget Paid company business trips (not mandatory) Remote work Recruitment Process Screening call with Senior Recruiter Home Test assignment Technical interview Interview with the team and key stakeholders Show more Show less

About Swiss Re Swiss Re is one of the world s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. We cover both Property & Casualty and Life & Health. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world. Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work. About the Role We are looking for a candidate with a strong academic record and industry experience in Natural catastrophe modelling for our Underwriting Advisory Team at Bangalore. This job offers you a chance to join the dynamic and fast paced world of a highly specialized financial services organization. You get in-depth exposure to Swiss Re s proprietary natural perils model platform and costing tools and to natural catastrophe reinsurance business from Swiss Res global client base. Depending upon your inclination and skills, over time you will have the opportunity to widen your roles in multiple areas. Position Summary Provide high quality Nat cat underwriting advisory to underwriting desks at Swiss Re which will include but not limited to Europe, Middle East and Africa. Your role would involve: You will support the analysis of Property treaty business across markets. This includes the reviewing of submission data providing data analysis & risk modelling of Nat Cat loss scenarios making the best use of SRs costing techniques to model / forecast and quantify the impact of contract features relevant to costing. Support in product & process innovation using the findings from underwriting support and suggest improvements to Nat cat models, tools, and systems. Collaborating with the underwriting community abroad and other business partners on various projects to generate new valuable services for Swiss Re. Establish & maintain positive relationships with internal partners. Identify & resolve service issues with internal clients /stakeholders, prepare statistical client/region specific reports and share input/solutions with internal business partners. About You/ Qualifications An advanced degree in the field of natural science or a quantitative field (e.g., engineering, statistics, Mathematics, Econometrics) which is closely related to these subject areas Proficient in Property re/insurance underwriting, single-risk assessment, risk modelling and contract preparation, with minimum 2 to 5 years of relevant Underwriting experience Good understanding of underwriting techniques, methods, tools, and processes Ability to analyze large data sets, investigate complex connection and draw relevant conclusion. Expertise in R, Advance Excel (VBA), SQL and Power BI and inclination towards learning new technologies will be an added advantage. Strong motivation to learn about re/insurance and overseas markets Strong team-player with ability to collaborate with teams in other locations and cultures, along with strong sense of accountability and execution Excellent command of English (written and spoken). Other foreign language will be added advantage Above all: scientific and technological curiosity with the ability to bring new insights to constructively challenge the status quo. About Swiss Re If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience. Keywords: Reference Code: 134074

About Us Bain & Company is a global management consulting that helps the world’s most ambitious change makers define the future. Across 65 offices in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition and redefine industries. Since our founding in 1973, we have measured our success by the success of our clients, and we proudly maintain the highest level of client advocacy in the industry. In 2004, the firm established its presence in the Indian market by opening the Bain Capability Center (BCC) in New Delhi. The BCC is now known as BCN (Bain Capability Network) with its nodes across various geographies. BCN is an integral and largest unit of (ECD) Expert Client Delivery. ECD plays a critical role as it adds value to Bain's case teams globally by supporting them with analytics and research solutioning across all industries, specific domains for corporate cases, client development, private equity diligence or Bain intellectual property. The BCN comprises of Consulting Services, Knowledge Services and Shared Services. Who You Will Work With Bain & Company is the leading consulting partner to the private equity industry and its stakeholders. PEG (Private Equity Group) in Bain provides comprehensive advisory services to investors across the entire investment lifecycle. PEG expertise spans from pre-investment strategy and due diligence to post-acquisition value creation and portfolio management. PIT is a specialized division dedicated to supporting the private equity sector and its stakeholders. A key area of focus is harnessing Generative AI to develop innovative solutions that streamline due diligence, automate processes, and enable data-driven decision-making. By integrating expertise in due diligence, operational improvement, and cutting-edge technologies like Generative AI, PIT empowers private equity clients to achieve superior returns and maintain a competitive edge in the market. What You’ll Do This is an opportunity to be a part of BCN Data business expanding science capability area. This position will be part of the PIT (PEG Innovation Team) Product Support: The team will primarily support the Beta production of AI applications for PEG (Private Equity Group) as part of Bain’s DD2030 (Due Diligence 2030) initiative. Generative AI Focus: A significant portion of the work is expected to relate to Generative AI applications, pushing the boundaries of innovation in the private equity space. Broader Automation: The role may also include contributing to broader PIT automation initiatives aimed at streamlining processes and enhancing efficiency across various investment lifecycle stages. The person in this role will need to: Translate business objectives into data and analytics solutions and, translate results into business insights using appropriate data engineering, analytics, visualization & Gen AI applications Leverage Gen AI skills to design and create repeatable analytical solutions to improve data quality Design, build, and deploy machine learning models using Scikit-Learn for various predictive analytics tasks. Implement and fine-tune NLP models with Hugging Face to address complex language processing challenges Collaborate with engineering team members on design requirements to turn PoC methods into repeatable data pipelines; work with Practice team to develop repeatable and scalable products Assist with creation and documentation of standard operating procedures for repeated data processes, as well as knowledge base of data methods Keep abreast of new developments in AI/ML technologies and best practices in data science, particularly in LLMs and generative AI. About You A Bachelor’s or Master’s degree in in Computer Science, Artificial Intelligence, Applied Mathematics, Econometrics, Statistics, Physics, Market Research, or related field is preferred 3-5 years of experience with data science & data engineering with Hands-on experience with AI/GenAI tools such as Scikit-Learn, LangChain, and Hugging Face Experience designing and developing RESTful and GraphQL APIs to facilitate data access and integration. Proficiency with data wrangling in either R or Python is required Proficiency in SQL is required, and familiarity with NoSQL data stores is a plus Familiarity with MLOps practices for model lifecycle management Experience with Git and modern software development workflow is a plus Experience with containerization such as Docker/ Kubernetes is a plus Agile way of working and tools (Jira, Confluence, Miro) Strong interpersonal and communication skills are a must. Experience with Micrsoft Office suite (Word, Excel, PowerPoint, Teams) is preferred Ability to explain and discuss Gen AI and Data Engineering technicalities to a business audience. What Makes Us a Great Place To Work We are proud to be consistently recognized as one of the world's best places to work, a champion of diversity and a model of social responsibility. We are currently ranked the #1 consulting firm on Glassdoor’s Best Places to Work list, and we have maintained a spot in the top four on Glassdoor's list for the last 12 years. We believe that diversity, inclusion and collaboration is key to building extraordinary teams. We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally. We are publicly recognized by external parties such as Fortune, Vault, Mogul, Working Mother, Glassdoor and the Human Rights Campaign for being a great place to work for diversity and inclusion, women, LGBTQ and parents. Show more Show less

About Us Bain & Company is a global management consulting firm that helps the world’s most ambitious change makers define the future. Across 65 offices in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition and redefine industries. Since our founding in 1973, we have measured our success by the success of our clients, and we proudly maintain the highest level of client advocacy in the industry. In 2004, the firm established its presence in the Indian market by opening the Bain Capability Center (BCC) in New Delhi. The BCC is now known as BCN (Bain Capability Network) with its nodes across various geographies. BCN is an integral and largest unit of (ECD) Expert Client Delivery. ECD plays a critical role as it adds value to Bain's case teams globally by supporting them with analytics and research solutioning across all industries, specific domains for corporate cases, client development, private equity diligence or Bain intellectual property. The BCN comprises of Consulting Services, Knowledge Services and Shared Services. Who You Will Work With This role is based out of the Visualizations CoE – Transformation & Change team, which sits under the broader “Data & Tech” cluster at the BCN. We work closely with global Bain case teams, product teams and end-clients providing them data analytics and business intelligence support using advanced data analysis and visualization tools (e.g., PowerBI, SQL, Python, Azure, AWS, Tableau, Alteryx, etc.). The Custom Reporting team here is responsible for developing highly functional custom PowerBI reports for the ARC tool - Bain's state-of-the-art transformation management tool - to help Bain clients track progress on different transformation workstreams.. What You’ll Do Work with Bain teams as an expert on specific tools, such as Microsoft power platforms (PowerBI, PowerAutomate), SQL, Alteryx and Python to design and deliver impactful business intelligence tools or dashboards Develop understanding about the ARC tool and the data fields contained within Work closely with the case team/end-client/ ARC Customer Success team to understand the requirements, build proof of concepts and draw roadmap for output delivery with clear milestones Work under the guidance of a Senior Associate/ Team Manager, playing a key role in driving the team’s overall answer and final materials, client communication, work planning, and team management Gather requirements and business process knowledge in order to transform the data in a way that is geared towards the needs of end-users. Responsible for end-to-end handling of the entire process, i.e., requirement gathering, data cleaning, processing, visualization and deployment Apply knowledge of data warehousing and visualization to prepare dataflows using SQL, and then developing dashboards using PowerBI, to support case teams with analysis of KPIs and development of commercial dashboards Lead the design, development, and deployment of Power BI dashboards that deliver intuitive, high-performance data visualizations. You'll create complex data models and write optimized DAX formulas to support self-service reporting and in-depth analysis Automate workflows with Power Automate, allowing seamless integration between different applications, data sources, and business processes Solve complex custom visualization and analysis issues, providing thought leadership and business judgment Brainstorm any possible roadblocks with the team, providing thought leadership and business judgment Participate in case team calls and effectively communicate data, knowledge, insights and actionable next steps to the case team; relay implications to his/her own internal team About You Candidate should be a Graduate from a Top-tier College with strong academic records, and with 1 year of relevant work experience in areas related to Data Management, Business Intelligence or Business Analytics. Concentration in a quantitative discipline such as Statistics, Mathematics, Engineering, Computer Science, Econometrics, Business Analytics, or Market Research is strongly preferred Minimum 1 year of experience in data preparation and visualization using tools such as Microsoft Power BI and SQL Extensive experience in developing Power BI reports and dashboards, with a focus on data modeling, report performance optimization, and creating interactive visualizations Experience in developing custom Power Apps applications is a plus, along with knowledge of Alteryx and Python Competent with PowerBI Desktop, Gateway, Service and Report Server tools; good understanding of Power Query M-code and hands-on experience in building sophisticated DAX queries What Makes Us a Great Place To Work We are proud to be consistently recognized as one of the world's best places to work, a champion of diversity and a model of social responsibility. We are currently ranked the #1 consulting firm on Glassdoor’s Best Places to Work list, and we have maintained a spot in the top four on Glassdoor's list for the last 12 years. We believe that diversity, inclusion and collaboration is key to building extraordinary teams. We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally. We are publicly recognized by external parties such as Fortune, Vault, Mogul, Working Mother, Glassdoor and the Human Rights Campaign for being a great place to work for diversity and inclusion, women, LGBTQ and parents.. Show more Show less

Job Description The Risk division is responsible for credit, market and operational risk, model risk, independent liquidity risk, and insurance throughout the firm. Background Analytics & Reporting (A&R) is a group within Risk Engineering in the Risk Division of Goldman Sachs. The group ensures the firm’s senior leadership, investors and regulators have a complete view of the positional, market, and client activity drivers of the firm’s risk profile allowing them to take actionable and timely risk management decisions. Risk Engineering is a multidisciplinary group of quantitative experts who are the authoritative producers of independent risk & capital metrics for the firm. Risk Engineering is responsible for modeling, producing, reviewing, interpreting, explaining and communicating risk & capital metrics and analytics used to ensure the firm adheres to its Risk Appetite and maintains the appropriate amount of Risk Capital. Risk Engineering provides risk & capital metrics, analytics and insights to the Chief Risk Officer, senior management, regulators, and other firm stakeholders. Role Responsibilities A&R delivers critical regulatory and risk metrics & analytics across risk domains (market, credit, liquidity, operational, capital) and firm activities via regular reporting, customized risk analysis, systematically generated risk reporting and risk tools . Responsibilities A&R has a unique vantage point in the firm’s risk data flows that, when coupled with a deep understanding of client and market activities, allows it to build scalable workflows, processes and procedures to deliver actionable risk insights . The following are core responsibilities for A&R: Delivering regular and reliable risk metrics, analytics & insights based on deep understanding of the firm’s businesses and its client activities. Building robust, systematic & efficient workflows, processes and procedures around the production of risk analytics for financial & non-financial risk, risk capital and regulatory reporting. Attesting to the quality, timeliness and completeness of the underlying data used to produce these analytics . Qualifications, Skills & Aptitude Eligible candidates are preferred to have the following: Masters or Bachelors degree in a quantitative discipline such as mathematics, physics, econometrics, computer science or engineering. Entrepreneurial, analytically creative, self-motivated and team-oriented. Excellent written, verbal and team-oriented communication skills. Experience with programming for extract transform load (ETL) operations and data analysis (including performance optimization) using languages such as, but not limited to, Python, Java, C++, SQL and R. Experience in developing data visualization and business intelligence solutions using tools such as, but not limited to, Tableau, Alteryx, PowerBI, and front-end technologies and languages. Working knowledge of the financial industry, markets and products and associated non-financial risk. Working knowledge of mathematics including statistics, time series analysis and numerical algorithms. 5+ years of financial or non-financial risk industry experience. About Goldman Sachs At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html © The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity Show more Show less

Job Description The Risk division is responsible for credit, market and operational risk, model risk, independent liquidity risk, and insurance throughout the firm. Analytics & Reporting (A&R) is a group within Risk Engineering in the Risk Division of Goldman Sachs. The group ensures the firm’s senior leadership, investors and regulators have a complete view of the positional, market, and client activity drivers of the firm’s risk profile allowing them to take actionable and timely risk management decisions. Risk Engineering is a multidisciplinary group of quantitative experts who are the authoritative producers of independent risk & capital metrics for the firm. Risk Engineering is responsible for modeling, producing, reviewing, interpreting, explaining and communicating risk & capital metrics and analytics used to ensure the firm adheres to its Risk Appetite and maintains the appropriate amount of Risk Capital. Risk Engineering provides risk & capital metrics, analytics and insights to the Chief Risk Officer, senior management, regulators, and other firm stakeholders. Role Responsibilities A&R delivers critical regulatory and risk metrics & analytics across risk domains (market, credit, liquidity, operational, capital) and firm activities via regular reporting, customized risk analysis, systematically generated risk reporting and risk tools . Responsibilities A&R has a unique vantage point in the firm’s risk data flows that, when coupled with a deep understanding of client and market activities, allows it to build scalable workflows, processes and procedures to deliver actionable risk insights . The following are core responsibilities for A&R: Delivering regular and reliable risk metrics, analytics & insights based on deep understanding of the firm’s businesses and its client activities. Building robust, systematic & efficient workflows, processes and procedures around the production of risk analytics for financial & non-financial risk, risk capital and regulatory reporting. Attesting to the quality, timeliness and completeness of the underlying data used to produce these analytics . Qualifications, Skills & Aptitude Eligible candidates are preferred to have the following: Masters or Bachelors degree in a quantitative discipline such as mathematics, physics, econometrics, computer science or engineering. Entrepreneurial, analytically creative, self-motivated and team-oriented. Excellent written, verbal and team-oriented communication skills. Experience with programming for extract transform load (ETL) operations and data analysis (including performance optimization) using languages such as, but not limited to, Python, Java, C++, SQL and R. Experience in developing data visualization and business intelligence solutions using tools such as, but not limited to, Tableau, Alteryx, PowerBI, and front-end technologies and languages. Working knowledge of the financial industry, markets and products and associated non-financial risk. Working knowledge of mathematics including statistics, time series analysis and numerical algorithms. 3-5 years of financial or non-financial risk industry experience. About Goldman Sachs At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html © The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity Show more Show less

Company Profile: Bain & Company is one of the top management consulting firms in the world. In 2004, the firm established its presence in the Indian market by opening the Bain Capability Center in Gurugram, now renamed as Bain Capability Network (BCN). The BCN plays a critical role in supporting Bain's case teams and initiatives globally to help with analytics and research across all industries and capabilities. Team Summary: This position is based in BCN's Gurgaon office and is a vital part of the Data and Technology team. The Benchmarking team, part of the Data & Insights Industries CoE, plays a critical role in advancing Bain's expertise in the consumer products sector. Our team is responsible for building and maintaining comprehensive databases that capture key industry benchmarks and performance metrics. These data assets empower Bain's consultants to deliver unparalleled insights and drive value for clients in the consumer products industry. By staying ahead of industry trends and leveraging advanced data analytics, the Consumer Products Benchmarking team supports Bain’s commitment to delivering top-tier strategic guidance to its clients. Over time, we have developed seamless solutions and utilize powerful, dynamic visualizations and charts on various platforms to showcase our results. A key arm of the team is also involved in creating critical intellectual property (IP) that is valuable for new CPG cases globally at Bain. Position Summary: The person in this role will need to: Translate business objectives into data and analytics solutions and translate results into business insights using appropriate data engineering, analytics, visualization & Gen AI applications Leverage Gen AI skills to design and create repeatable analytical solutions to improve data quality Design, build, and deploy machine learning models using Scikit-Learn for various predictive analytics tasks. Implement and fine-tune NLP models with Hugging Face to address complex language processing challenges Collaborate with engineering team members on design requirements to turn PoC methods into repeatable data pipelines; work with Practice team to develop repeatable and scalable products Assist with creation and documentation of standard operating procedures for repeated data processes, as well as knowledge base of data methods Keep abreast of new developments in AI/ML technologies and best practices in data science, particularly in LLMs and generative AI. Will be a technical lead and might lead a small team, and manage their day-to-day activities and provide status update to PIT Required Experience: A Bachelor’s or Master’s degree in in Computer Science, Artificial Intelligence, Applied Mathematics, Econometrics, Statistics, Physics, Market Research, or related field is preferred 3+ years of experience with data science & data engineering with Hands-on experience with AI/GenAI tools Experience designing and developing RESTful and GraphQL APIs to facilitate data access and integration. Proficiency with data wrangling in either R or Python is required Familiarity with MLOps practices for model lifecycle management Experience with Git and modern software development workflow is a plus Experience with containerization such as Docker/ Kubernetes is a plus Agile way of working and tools (Jira, Confluence, Miro) Strong interpersonal and communication skills are a must Experience with Microsoft Office suite (Word, Excel, PowerPoint, Teams) is preferred Ability to explain and discuss Gen AI and Data Engineering technicalities to a business audience

About us Bain & Company is a global management consulting that helps the world’s most ambitious change makers define the future. Across 65 offices in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition and redefine industries. Since our founding in 1973, we have measured our success by the success of our clients, and we proudly maintain the highest level of client advocacy in the industry. In 2004, the firm established its presence in the Indian market by opening the Bain Capability Center (BCC) in New Delhi. The BCC is now known as BCN (Bain Capability Network) with its nodes across various geographies. BCN is an integral and largest unit of (ECD) Expert Client Delivery. ECD plays a critical role as it adds value to Bain's case teams globally by supporting them with analytics and research solutioning across all industries, specific domains for corporate cases, client development, private equity diligence or Bain intellectual property. The BCN comprises of Consulting Services, Knowledge Services and Shared Services. Who you will work with Bain & Company is the leading consulting partner to the private equity industry and its stakeholders. PEG (Private Equity Group) in Bain provides comprehensive advisory services to investors across the entire investment lifecycle. PEG expertise spans from pre-investment strategy and due diligence to post-acquisition value creation and portfolio management. PIT is a specialized division dedicated to supporting the private equity sector and its stakeholders. A key area of focus is harnessing Generative AI to develop innovative solutions that streamline due diligence, automate processes, and enable data-driven decision-making. By integrating expertise in due diligence, operational improvement, and cutting-edge technologies like Generative AI, PIT empowers private equity clients to achieve superior returns and maintain a competitive edge in the market. What you’ll do This is an opportunity to be a part of BCN Data business expanding science capability area. This position will be part of the PIT (PEG Innovation Team) Product Support: The team will primarily support the Beta production of AI applications for PEG (Private Equity Group) as part of Bain’s DD2030 (Due Diligence 2030) initiative. Generative AI Focus: A significant portion of the work is expected to relate to Generative AI applications, pushing the boundaries of innovation in the private equity space. Broader Automation: The role may also include contributing to broader PIT automation initiatives aimed at streamlining processes and enhancing efficiency across various investment lifecycle stages. The person in this role will need to: Translate business objectives into data and analytics solutions and, translate results into business insights using appropriate data engineering, analytics, visualization & Gen AI applications Leverage Gen AI skills to design and create repeatable analytical solutions to improve data quality Design, build, and deploy machine learning models using Scikit-Learn for various predictive analytics tasks. Implement and fine-tune NLP models with Hugging Face to address complex language processing challenges Collaborate with engineering team members on design requirements to turn PoC methods into repeatable data pipelines; work with Practice team to develop repeatable and scalable products Assist with creation and documentation of standard operating procedures for repeated data processes, as well as knowledge base of data methods Keep abreast of new developments in AI/ML technologies and best practices in data science, particularly in LLMs and generative AI. About you A Bachelor’s or Master’s degree in in Computer Science, Artificial Intelligence, Applied Mathematics, Econometrics, Statistics, Physics, Market Research, or related field is preferred 3-5 years of experience with data science & data engineering with Hands-on experience with AI/GenAI tools such as Scikit-Learn, LangChain, and Hugging Face Experience designing and developing RESTful and GraphQL APIs to facilitate data access and integration. Proficiency with data wrangling in either R or Python is required Proficiency in SQL is required, and familiarity with NoSQL data stores is a plus Familiarity with MLOps practices for model lifecycle management Experience with Git and modern software development workflow is a plus Experience with containerization such as Docker/ Kubernetes is a plus Agile way of working and tools (Jira, Confluence, Miro) Strong interpersonal and communication skills are a must. Experience with Micrsoft Office suite (Word, Excel, PowerPoint, Teams) is preferred Ability to explain and discuss Gen AI and Data Engineering technicalities to a business audience. What makes us a great place to work We are proud to be consistently recognized as one of the world's best places to work, a champion of diversity and a model of social responsibility. We are currently ranked the #1 consulting firm on Glassdoor’s Best Places to Work list, and we have maintained a spot in the top four on Glassdoor's list for the last 12 years. We believe that diversity, inclusion and collaboration is key to building extraordinary teams. We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally. We are publicly recognized by external parties such as Fortune, Vault, Mogul, Working Mother, Glassdoor and the Human Rights Campaign for being a great place to work for diversity and inclusion, women, LGBTQ and parents.

Morgan Stanley Market Risk Analytics - Analyst Profile Description We’re seeking someone to join our team as a [Analyst] to [Market Risk Analytics team]. Firm Risk Management In the Firm Risk Management division, we advise businesses across the Firm on risk mitigation strategies, develop tools to analyze and monitor risks and lead key regulatory initiatives. Company Profile Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals. Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world. What You’ll Do In The Role Primary Responsibilities include, but are not limited to: Develop functional expertise on an assigned asset class over time. Support the AI/ML initiatives of the team including Gen AI projects. Design and develop Python analytical libraries supporting needs of the full suite of market risk models. Hold ownership of the code library including development, maintenance, testing, and governance. Effectively collaborate with other teams within Market Risk Analytics and partnering areas - Market Risk Department, Model Risk Management, Strats and IT - to deliver on project requirements. Effectively communicate requirements from the Engineering Team to a wider audience of project stakeholders and senior managers. Understanding of various market risk model metrics; staying up to date with regulatory guidelines and model developments. Skills Required What you’ll bring to the role: 1-3 years of work experience in Quantitative modeling, Risk Management, Algorithmic trading, Global markets, or any other quantitative/Data Science field. The candidate needs to be familiar with statistical techniques such as Monte-Carlo simulations, Merton- based factor model, Regression Analysis, Hypothesis testing, Time-series modeling, and Volatility modeling. Strong quantitative and analytical skills and ability to work with diverse cultures in a global team. Understanding of basic risk management concepts such as VaR (value-at-risk), stress tests, market risk modelling. Hands-on experience in Python with knowledge of packages used for data manipulation, time series and data analysis. Understanding of code development using OOPs concepts along with familiarity with Github version control. Strong communication skills (Oral and written). Ability to communicate complex and technical issues in simple manner. Attention to details and ability to work under pressure. Required Qualifications Graduate/ Postgraduate/ Advanced degree in Finance, Mathematics, Econometrics, Engineering, or other Quantitative subjects. Desirable Skills FRM, CFA, CQF certification is an advantage. Knowledge of risk mitigation practices and experience with Basel regulations will be an advantage. What You Can Expect From Morgan Stanley We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work. Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents. Show more Show less

Job Description The Global Data Insights and Analytics (GDI&A) department at Ford Motors Company is looking for qualified people who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, Econometrics, and Optimization. The goal of GDI&A is to drive evidence-based decision making by providing insights from data. Applications for GDI&A include, but are not limited to, Connected Vehicle, Smart Mobility, Advanced Operations, Manufacturing, Supply chain, Logistics, and Quality Analytics. Potential candidates should have excellent depth and breadth of knowledge in machine learning, data mining, and statistical modeling. They should possess the ability to translate a business problem into an analytical problem, identify the relevant data sets needed for addressing the analytical problem, recommend, implement, and validate the best suited analytical algorithm(s), and generate/deliver insights to stakeholders. Candidates are expected to regularly refer to research papers and be at the cutting-edge with respect to algorithms, tools, and techniques. The role is that of an individual contributor; however, the candidate is expected to work in project teams of 2 to 3 people and interact with Business partners on regular basis. Responsibilities Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data-driven decision-making Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness Qualifications Minimum Qualifications Bachelor’s degree in Data science, computer science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline. 3+ years of hands-on experience in Python programming for data analysis, machine learning, and with libraries such as NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, PyTorch, NLTK, spaCy, and Gensim. 2+ years of experience with both supervised and unsupervised machine learning techniques. 2+ years of experience with data analysis and visualization using Python packages such as Pandas, NumPy, Matplotlib, Seaborn, or data visualization tools like Dash or QlikSense. 1+ years' experience in SQL programming language and relational databases. Preferred Qualifications An MS/PhD in Computer Science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline. PhD strongly preferred. Experience working with Google Cloud Platform (GCP) services, leveraging its capabilities for ML model development and deployment. Experience with Git and GitHub for version control and collaboration. Besides Python, familiarity with one more additional programming language (e.g., C/C++/Java) Strong background and understanding of mathematical concepts relating to probabilistic models, conditional probability, numerical methods, linear algebra, neural network under the hood detail. Experience working with large language models such GPT-4, Google, Palm, Llama-2, etc. Excellent problem solving, communication, and data presentation skills. Show more Show less

Sancta Maria International School is looking for Economics Faculty to join our dynamic team and embark on a rewarding career journey. Developing and teaching plans Advising and mentoring studentsConducting research and publishing findings in academic journals Participating in departmental and university-wide committeesEngaging in professional development activities to stay current in the field Excellent communication and interpersonal skills

Company Overview Bain & Company is a global consultancy that helps the world’s most ambitious change makers define the future. Across 59 offices in 37 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition and redefine industries. We are passionate about achieving results for our clients (our public clients have historically outperformed the stock market 4:1). We are proud to be consistently recognized as one of the world's best places to work, a champion of diversity and a model of social responsibility. We are currently ranked the #1 consulting firm on Glassdoor’s Best Places to Work list, and we have maintained a spot in the top four on Glassdoor's list for the last 12 years. We believe that diversity, inclusion and collaboration is key to building extraordinary teams. We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally. We are publicly recognized by external parties such as Fortune, Vault, Mogul, Working Mother, Glassdoor and the Human Rights Campaign for being a great place to work for diversity and inclusion, women, LGBTQ and parents. Department Overview The Reporting and Analytics CoE is an integral part of Bain’s global PPK group (Product, Practice and Knowledge). The team is responsible for bringing various functional reporting pieces under one umbrella to provide integrated and centralized reporting to the firm leadership on various aspects of the firm performance. Position Summary PPK Reporting & Analytics CoE has experienced strong growth as an internal business intelligence and analytics business over the past five years. Given the expansion of the team, we are looking for a Senior Specialist to join our Global Financial Planning and Analysis teamlet to help drive its analytical capabilities to full potential over the next phase. Specific Responsibilities * Support the development of reporting solutions using Alteryx, Power BI/ Tableau, and similar tools. Focus on generating actionable insights under the guidance of supervisor, ensuring that outputs meet the needs of stakeholders. * Assist in automating reporting processes to improve operational efficiency and support routine business activities. * Take responsibility for independently delivering complex tasks or smaller components within larger projects. Ensure tasks are completed on time and meet quality standards, while receiving direction and feedback from the supervisor. * Participate in cross-functional teams, offering support in analytics and business intelligence. Help gather and prepare data, and deliver insights that assist Managers and Senior Managers in shaping solutions and providing recommendations * Work on implementing best practices in automation and business intelligence reporting within the team. Ensure consistency and quality in deliverables, adhering to established standards. * Contribute to innovation efforts by bringing ideas and assisting in the execution of projects that align with the firm’s goals. * Actively engage in promoting a positive and collaborative team environment. Support initiatives led by Managers that reinforce the values and culture of the team. * Provide guidance and mentorship to junior team members, helping them develop their skills and align their work with project goals. * Assist in the recruitment process and contribute to the smooth onboarding of new team members, ensuring they quickly become effective members of the team. Qualifications * 7-9 years (graduates) or 5-7 years (post-graduates) of relevant experience in data analytics, business intelligence, and reporting solutions development, with a strong focus on leveraging tools like Alteryx, Power BI and Tableau. * Proficiency in using data visualization tools (e.g., Tableau, Power BI) with a solid understanding of best practices in data-driven reporting. * Competence in SQL, with experience in optimizing queries that meet project-specific needs. * Prior experience working in the Finance function or a basic understanding of finance function fundamentals is preferred * Concentration in a quantitative discipline such as Statistics, Mathematics, Engineering, Computer Science, Econometrics, Business Analytics. * Strong problem-solving skills with the ability to develop innovative solutions for complex data analytics challenges and contribute to the continuous improvement of reporting processes. * Understanding of data structures, algorithms, and basic programming principles, with the ability to apply these in the context of data analytics and reporting solutions. * Demonstrated ability to contribute to the development and deployment of reporting solutions and data analytics products that enhance business intelligence and support decision-making * Strong interpersonal and communication skills, with the ability to collaborate effectively with team members and articulate technical aspects of data solutions and automation techniques to colleagues. * Demonstrated curiosity, proactivity, and critical thinking, with a commitment to learning about emerging trends in data analytics and AI, and applying these insights to improve project outcomes. * Experience working in an agile environment, with the ability to handle changing priorities and contribute effectively to project tasks in a fast-paced setting. * Ability to collaborate with stakeholders within a department or practice area, across different offices and regions, ensuring that analytics solutions are aligned with the specific business needs of the teams involved. * Good to have a working knowledge of Python, particularly in automating reporting processes and data processing tasks and experience in implementing straightforward AI models for specific tasks using tools like ChatGPT. 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locationsMumbai - Hiranandaniposted onPosted 7 Days Ago time left to applyEnd DateJune 6, 2025 (6 days left to apply) job requisition idR_304068 Company: Mercer Description: Marsh is seeking candidates for the following position based in the Mumbai, India office Senior Manager - Research (M&A Due Dilligence) We will count on you to Invest in understanding our business thoroughly Contribute to the growth of the Marsh brand within the Australian and New Zealand market Prepare and deliver parts or whole of insurance due diligence reports Support in the preparation of key documents for transactional risk insurance placements Summarise key quotations received from insurers Prepare kick off materials for insurance placements Keep abreast of changing risk and insurance market conditions Coordinate with colleagues from other practices within the region Demonstrate extreme responsiveness and process excellence in daily work Estimate timelines accurately, deliver on time, flag issues proactively, be solution oriented and create routines that enhance efficient working Develop strong relationships with colleagues and stakeholders through high quality project delivery, responsiveness, and agile and clear communication Contribute to process improvement of the team by making relevant recommendations and executing the process initiatives to enhance the efficiency and quality of overall delivery What you need to have: Masters / Bachelors in Economics or Masters in Business Administration (MBA) / equivalent post-graduation certification from a reputed institute Minimum of 5 years of experience in collecting information, co-ordinating with colleagues, writing professional client ready reports, at leading professional services / research & advisory firms Prior experience in a Due Diligence role, or demonstrated experience with clients considering M&A Excellent English language communication skills - written and verbal Strong analytical, critical thinking, and problem-solving skills Excellent project and process management skills Advanced level of proficiency in MS Office - PowerPoint, Word, and Excel Ability to identify the right data from a finite data set and compile part/whole of the report Highly organised and self-motivated with the ability to work without heavy supervision, act in an agile way independently, in a fast-paced environment Strong commitment to absorb and engage in feedback discussions and enhancing own knowledge and quality of end products What makes you stand out Strong understanding of M&A insurance products and in assessing insurance coverage gaps Experience working in a cross-cultural environment Why join our team: We help you be your best through professional development opportunities, interesting work and supportive leaders. We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities. Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being. Mercer, a business of Marsh McLennan (NYSEMMC), is a global leader in helping clients realize their investment objectives, shape the future of work and enhance health and retirement outcomes for their people. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businessesMarsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit mercer.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person.

ERM is seeking a (Senior) Quantitative Researcher to develop algorithms, financial models, and analytical tools that link non-financial ESG data with financial outcomes. This role is ideal for a professional with a strong quantitative background, proficient in statistical modelling, machine learning, and financial analysis. The candidate will work on transforming sustainability materiality and maturity frameworks into automated, scalable models that assess performance and valuation impacts. This is a non-client-facing offshore role focused on data-driven ESG research and tool development. The Ideal Candidate You bring a robust background in financial modelling and valuation with a deep passion for sustainability (e.g. climate, nature, employees wellbeing, sustainable revenue). You have demonstrated success in integrating ESG factors into transaction analysis and investment decision-making. With experience in investment banking, strategy consulting, or transaction advisory—and preferably exposure to private equity—you are adept at turning complex and qualitative ESG concepts into actionable financial insights. You will be able to communicate with senior stakeholders and provide thought leader in this evolving space. RESPONSIBILITIES: Quantitative Research & Algorithm Development Design data-driven models that quantify the impact of ESG factors on financial performance. Develop statistical algorithms that integrate materiality and maturity definitions into predictive financial models. Leverage machine learning techniques (e.g., regression analysis, clustering, time-series forecasting) to identify trends in ESG data. Data Analysis & Model Development Build automated financial modelling tools that incorporate non-financial (ESG) data and financial metrics. Develop custom ESG performance indicators that can be used in due diligence, exit readiness, and investment decision-making. Standardize ESG data inputs and apply weightings/scoring methodologies to determine financial relevance. Tool Development & Automation Work with developers to code ESG models into dashboards or automated financial tools. Implement AI/ML techniques to enhance model predictive capabilities. Ensure models are scalable and adaptable across multiple industries and investment types. Data Management & Validation Collect, clean, and structure large datasets from financial reports, ESG databases, and regulatory filings. Conduct sensitivity analyses to validate model accuracy and effectiveness. Ensure consistency in ESG metrics and definitions across all analytical frameworks. REQUIRED SKILLS & EXPERIENCE: Educational Background Master’s in Finance, Econometrics, Data Science, Quantitative Economics, Mathematics, Statistics, or a related field. CFA, FRM, or other financial analysis certifications are a plus. Technical & Analytical Proficiency Financial & Statistical Modelling: Advanced Excel, Python, R, or MATLAB for quantitative research and financial modelling. Machine Learning & AI: Proficiency in ML algorithms for forecasting, clustering, and risk modelling. Data Analysis & Automation: Experience with SQL, Power BI, or other data visualization tools. ESG & Financial Integration: Understanding of ESG materiality frameworks (SASB, MSCI, S&P, etc.) and their impact on valuations. Professional Experience Minimum 5-8 years in quantitative research, financial modelling, or ESG data analysis. Experience in building proprietary financial tools/models for investment firms or financial consultancies. Strong background in factor modelling, risk assessment, and alternative data analysis. Personal Attributes Highly analytical, structured thinker with attention to detail. Ability to work independently in an offshore role, managing multiple datasets and models. Passion for quantifying ESG impact in financial terms. Show more Show less

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Position Description Summary Job purpose Technical Lead of a larger team in the R&A COE team to work on various Data Science and Machine Learning projects. Specific Role Requirements Must have at least 4 years of deep experience in building descriptive/ predictive analytical solutions. Capability to clearly understand and articulate a data science problem and lead multiple projects with required support. Should have hands-on experience in handling various datasets and should be familiar with data science and machine learning techniques in R/Python. Deep learning experience is a plus. Should have hands-on experience on database using SQL. Should have knowledge on Data visualization tool like Power BI. Good to have experience in any AutoML tool. Good to have experience in GenAI. Good to have experience in Azure cloud. Client Responsibilities: Need to work as a senior team member who should be able to use their skills/experience to be hands on in rapidly identifying and developing data science solutions. Provide product and design level technical best practices Interface and communicate with the onsite coordinators Develop analytical strategies for business using model results of predictive modelling, time series forecasting, clustering, segmentation of customers etc Documenting and presenting work to the client. Proactively recommending and influencing changes in business decision-making. Completion of assigned tasks on time and regular status reporting to the lead Experience and Qualification: B Tech/Masters or Ph. D. degree in either Economics (econometrics) or Statistics or MBA (with strong quantitative background) or Bachelors in Engineering with strong quantitative background and adequate industry experience Should be at least around 5-6 years of experience in Analytics Should have understanding and experience of analytics best practices. Excellent business communication, Consulting, Quality process skills Must be a team player and team leader Your People Responsibilities (For People Leading Roles) Building a quality culture Manage the performance management for the direct reportees, as per the organization policies Foster teamwork and lead by example Training and mentoring of project resources Mentor the team in a specific area of specialization (stats modelling, machine learning, SAS/R/Python programming etc) Participating in the organization-wide people initiatives Additional Skills Requirements Experience in Insurance/ Banking/ Finance Prior Client facing skills Prior onsite experience is a plus Should have engaged in client interactions, participating in business workshops EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. Show more Show less

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Position Description Summary Job purpose Technical Lead of a larger team in the R&A COE team to work on various Data Science and Machine Learning projects. Specific Role Requirements Must have at least 4 years of deep experience in building descriptive/ predictive analytical solutions. Capability to clearly understand and articulate a data science problem and lead multiple projects with required support. Should have hands-on experience in handling various datasets and should be familiar with data science and machine learning techniques in R/Python. Deep learning experience is a plus. Should have hands-on experience on database using SQL. Should have knowledge on Data visualization tool like Power BI. Good to have experience in any AutoML tool. Good to have experience in GenAI. Good to have experience in Azure cloud. Client Responsibilities: Need to work as a senior team member who should be able to use their skills/experience to be hands on in rapidly identifying and developing data science solutions. Provide product and design level technical best practices Interface and communicate with the onsite coordinators Develop analytical strategies for business using model results of predictive modelling, time series forecasting, clustering, segmentation of customers etc Documenting and presenting work to the client. Proactively recommending and influencing changes in business decision-making. Completion of assigned tasks on time and regular status reporting to the lead Experience and Qualification: B Tech/Masters or Ph. D. degree in either Economics (econometrics) or Statistics or MBA (with strong quantitative background) or Bachelors in Engineering with strong quantitative background and adequate industry experience Should be at least around 5-6 years of experience in Analytics Should have understanding and experience of analytics best practices. Excellent business communication, Consulting, Quality process skills Must be a team player and team leader Your People Responsibilities (For People Leading Roles) Building a quality culture Manage the performance management for the direct reportees, as per the organization policies Foster teamwork and lead by example Training and mentoring of project resources Mentor the team in a specific area of specialization (stats modelling, machine learning, SAS/R/Python programming etc) Participating in the organization-wide people initiatives Additional Skills Requirements Experience in Insurance/ Banking/ Finance Prior Client facing skills Prior onsite experience is a plus Should have engaged in client interactions, participating in business workshops EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. Show more Show less

Overview Working at Atlassian Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company. Responsibilities You will be part of a world-class Data Engineering team, where you will: influence product teams inform Data Science and Analytics Platform teams partner closely with data consumers and producers to ensure quality and usefulness of data assets You will be involved in strategizing measurement, collecting data, and generating insights. This work will help understand and improve product experience and engagement, optimize efficiency and costs, and drive strategy. Data Engineering is a multi-faceted role, where you can have focused or broad set of responsibilities, including: Defining metrics Instrumenting logging Acquiring/ingesting data Architecting & modeling data Transforming data Ensuring data quality, governance, and enablement Alerting, visualization, and reporting Developing at scale and improving efficiency Qualifications Bachelor’s degree (or equivalent work experience) in a STEM field Proficiency in Python or other modern programming language development experience Proficiency in SQL and relational databases experience Additional / Desirable Qualifications Post-graduate degree (or equivalent work experience) in a STEM field (e.g. statistics, mathematics, physics, econometrics, or computer science) and 1-2 years of work experience in Data Engineering or related field An understanding of the SaaS business model and data structures Experience in Enterprise Software product development Our Perks & Benefits Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit go.atlassian.com/perksandbenefits to learn more. About Atlassian At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together. We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them. To learn more about our culture and hiring process, visit go.atlassian.com/crh . Show more Show less

Job Description Analytics & Reporting Job Description – Associate Analytics & Reporting (A&R) is a group within Risk Engineering in the Risk Division of Goldman Sachs. The group ensures the firm’s senior leadership, investors and regulators have a complete view of the positional, market, and client activity drivers of the firm’s risk profile allowing them to take actionable and timely risk management decisions. Risk Engineering is a multidisciplinary group of quantitative experts who are the authoritative producers of independent risk & capital metrics for the firm. Risk Engineering is responsible for modeling, producing, reviewing, interpreting, explaining and communicating risk & capital metrics and analytics used to ensure the firm adheres to its Risk Appetite and maintains the appropriate amount of Risk Capital. Risk Engineering provides risk & capital metrics, analytics and insights to the Chief Risk Officer, senior management, regulators, and other firm stakeholders. Role Responsibilities A&R delivers critical regulatory and risk metrics & analytics across risk domains (market, credit, liquidity, operational, capital) and firm activities via regular reporting, customized risk analysis, systematically generated risk reporting and risk tools. A&R has a unique vantage point in the firm’s risk data flows that, when coupled with a deep understanding of client and market activities, allows it to build scalable workflows, processes and procedures to deliver actionable risk insights. The following are core responsibilities for A&R: Delivering regular and reliable risk metrics, analytics & insights based on deep understanding of the firm’s businesses and its client activities. Building robust, systematic & efficient workflows, processes and procedures around the production of risk analytics for financial & non-financial risk, risk capital and regulatory reporting. Attesting to the quality, timeliness and completeness of the underlying data used to produce these analytics. Qualifications, Skills & Aptitude Eligible candidates are preferred to have the following: Masters or Bachelors degree in a quantitative discipline such as data science, mathematics, physics, econometrics, computer science or engineering. Entrepreneurial, analytically creative, self-motivated and team-oriented. Excellent written, verbal and team-oriented communication skills. Experience with programming for extract transform load (ETL) operations and data analysis (including performance optimization) using languages such as, but not limited to, Python, Java, C++, SQL and R. Experience in developing data visualization and business intelligence solutions using tools such as, but not limited to, Tableau, Alteryx, PowerBI, and front-end technologies and languages. Working knowledge of the financial industry, markets and products and associated non-financial risk. Working knowledge of mathematics including statistics, time series analysis and numerical algorithms. 1+ years of financial or non-financial risk industry experience. About Goldman Sachs At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html © The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law. Show more Show less

Entity: Technology Job Family Group: IT&S Group Job Description: Let me tell you about the role The Manager, Geospatial Technology, will have expertise in technology, data, analytics, engineering and science solutions and projects in respect to location. They will lead a squad as part of the wider Geospatial team within Oil and Gas Technology gaining exposure to pioneering technologies and their real-world applications. They will interface closely with other Geospatial SMEs, Digital Product, and business partners to deploy and develop Geospatial technology, data & analytical solutions to meet business challenges across a wide range of domains including Production, Projects, Subsurface & Wells, Crisis, Renewables, and Refining. What you will deliver Team leadership and people management expectations: Provide direction to subordinates & other resources within the Geospatial Technology Team. Relevant experience in a Geospatial Technical Leadership role. Actively balance the workloads, priorities and important metrics of team members. Entitle team members to drive improvements to Geospatial products and solutions. Develops data expert capability within the team and identifies development opportunities Key technical capabilities and expectations: Develop innovative solutions and procedures and promote standard methodology to improve efficiency and quality within the geospatial team and across products. Geospatial Technology: experience in the use and deployment of geospatial technology including configuration and connectivity (eg. Cameras, Handhelds, AR/VR equipment, sensors, GPS, drone). Geospatial Data Management: use of spatial databases, spatial access methods, coordinate reference systems, representation of spatial objects, image processing, query processing, spatial data infrastructures, data manipulation, data security. Geospatial Analysis: Query operations and languages, earth geometry and geodesy, analytical operations, analysis of surfaces, spatial statistics, geo-statistics, spatial regression and econometrics, data mining, network analysis, optimization, and location allocation modeling. Spatial Data Visualization: including data considerations, principles of map design, graphic representation techniques, map production, development of web-based maps, applications, and dashboards. Reality capture: experience and knowledge of reality capture data formats, 3D models, QC workflows, loading techniques, and data integration for visualization and analysis. Ability to import, export and manipulate data between Geospatial systems and other applications, applying tools such as FME and Databricks. Expertise in one or more data-related technologies/languages (e.g. Python, R, Java Script, etc. Expertise in the ArcGIS Desktop and Enterprise suite of tools (ArcGIS Pro, Server, Portal and associated API’s). What you will need to be successful (experience and qualifications) Creating innovative solutions to improve process, workflow, standard methodology, and service delivery. Challenging conventional thinking, problem solving and innovating. Actively seeking to apply data science techniques; automation and machine learning, including the use of analytical and visualization tools to translate data and interpreted results into actionable insights and value. Citizenship: Engage in honest conversations and encourage team members to ask questions and actively listen to concerns; you are inclusive & collect diverse set of opinions and ideas, seeking out the silent voice; You use your own skills & experience to upskill others. Understand how your work with data impacts bp with respect to safety, financials, or other high value impacts. Identify continuous improvement opportunities to create safer operations, reduce cost, or other opportunities with data. Autonomy in problem identification and problem breakdown: end-to-end project ownership: Independently identify problems to be solved in your team / sub-area because of in-depth technical and business understanding; you can concretize vague, complex and broad problems and break them down into actionable sub-problems and tasks, help line up and concretize projects for more junior team members. Stakeholder Management: Proactively contact to partners to identify project needs and suggest solutions. Change Management: Recognize and efficiently build, communicate, and handle the business case for change – the costs and the benefits, building energy around the change. Use change as an opportunity to advance business objectives. Communication Skills: Communicate orally and in writing to a technical and non-technical audience. Business impact: Have business impact on one or multiple important metrics of your team, you are seen as a thought partner to the business! Qualifications: Experience – 12+ years in a similar role. Bachelors / Master’s degree, GIS, Geospatial, Geospatial Survey, Geographic Science, Computer Science, and other related fields, or related bachelor’s degree with some relevant experience. About Bp bp is a global energy business with a purpose to reimagine energy for people and our planet. We aim to be a very different kind of energy company by 2030, helping the world reach net zero and improving people’s lives. We are committed to creating a diverse and inclusive environment where everyone can thrive. Join bp and become part of the team building our future! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform important job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Travel Requirement Up to 10% travel should be expected with this role Relocation Assistance: This role is eligible for relocation within country Remote Type: This position is a hybrid of office/remote working Skills: Legal Disclaimer: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks. Show more Show less

?Job description ?The candidates are expected to be highly motivated with a strong research background in areas related to Population Economics, Health Economics and Demography. ?They should possess expertise in Statistics/ Econometrics. ?The candidates should be interested to work in the areas of maternal and child health, nutrition, migration and ageing. ?Requirements ??A deep understanding of core concepts in Demography and Economics. ? ?Hands-on experience with analytical and computational tools (e. g. , SPSS, STATA, Python, MATLAB, or R). ?Strong academic credentials with high-quality journal publications and/or patents. ? ?A minimum of four Q-1 or equivalent (Scopus/ABDC/ABS-ranked) journal publications per year is expected as part of the role. ? ?Ability to assist PhD scholars? ?Strong hold on English writing skill ?Experience ?3-5 Years ?Qualification ?As per University norms

Principal Data Science Manager Hyderabad, Telangana, India Date posted Apr 17, 2025 Job number 1819369 Work site Microsoft on-site only Travel 0-25 % Role type People Manager Profession Research, Applied, & Data Sciences Discipline Data Science Employment type Full-Time Overview Are you an experienced Principal Data Science Manager , with a relentless passion for data and analytics and a desire to drive future products via key data insights? Do you love managing and mentoring other Data scientists, analysts and Data engineers to achieve critical business goals? Does the thought of being able to influence the product in each stage of the lifecycle through insights & predictions excite you? Do you love measuring, understanding, and predicting based on real-world user data to come up with insights that drive experiments and recommendations to help move business metrics? If so, we want to talk to you! We are the Data & Applied Sciences team for Windows at Hyderabad, India. We work across various Windows products with the goal of using advanced analytics & data science to inform decision making, drive product performance and maximize business impact through the power of Data. In short, we thrive on data to solve high impact business problems for Windows! We're looking for an enthusiastic, hands-on and expert Principal Data Scientist Manager, to help us generate and deliver insights and recommendations through data for experiences running on 1.3 billion Windows devices. 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 Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. 5+ years of experience as a lead, including mentoring and growing junior data scientists & analysts. 10+ years of experience as a practicing Data Scientist. Exceptional teamwork and values that foster a positive team culture. Experience in collaborating with teams across different time zones and geographies. Experience with EDA, Inference analysis, Predictive analysis (Regression, Classification etc.,) and forecasting. Experience with Experiment Design and analysis. Experience in one or more programming languages, preferably C#, Python or Java. Experience in mentoring less experienced data engineers and helping to set a positive team culture. Ability to learn and work effectively in a highly ambiguous, rapidly evolving environment Demonstrated partnership, collaboration, and interpersonal skills. Excellent oral and written communication skills and ability to "tell compelling stories" through data. Preferred Qualifications Experience with Big Data technologies like Spark, Hadoop or other open- source technologies or SCOPE/COSMOS or U-SQL/ADL. A proven track record of demonstrated leadership in complex areas, through critical thinking, thought leadership, technical skills and relentless drive for progress. #W+Djobs #Windows, #Windows India, #Data Science Responsibilities As an experienced Data Scientist Manager, you will take on the most complex problems and guide the rest of the team in their efforts, helping them formulate approaches to solve challenging problems and discover new opportunities using well-defined algorithms and data sources in context of customer, engineering, and business needs. Your responsibilities will include working closely with a variety of teams such as Engineering, Product Management, Design and application partners to understand the key business questions for customer-facing scenarios, to set up the key performance indicators, deeply analyze the data to identify insights and experiment ideas that moves our business metrics. We will be looking to you to help evaluate the return of investments on new ideas, to assess if investments are meeting customer and business promises, to design and assess experiments, to measure growth and to derive insights that help identify next wave of opportunities and problems to be solved. 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.

Principal Applied Scientist Hyderabad, Telangana, India Date posted May 13, 2025 Job number 1811311 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 Microsoft’s Path team helps customers along their journey from the initial idea to the final realization of their goals – from Idea to Plan to Done. We are responsible for collaborative work management products including Microsoft Project, Planner, To Do, Whiteboard, and Visio. We are actively working to envision and create “The Future of Work” leveraging LLMs and Agentic AI to provide utility and value to our customers. As a Principal Applied Scientist in Path you will help drive the analysis and quality of the content our agentic system produces and design and conduct experiments to maximize what customers can do with our products. You will also provide consultation and expertise to product and engineering teams on how to structure telemetry, UI, and software design to bets leverage Ai capabilities. 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 8+ 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. Other Requirements: Candidates must be able to meet Microsoft, customer and/or government security screening requirements that are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications: Master's Degree in Statistics, Econometrics, Computer Science, Electrical OR Computer Engineering, OR related field AND 9+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical OR Computer Engineering, OR related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. 5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers). 2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker. 5+ years experience conducting research as part of a research program (in academic or industry settings). 3+ years experience developing and deploying live production systems, as part of a product team. 3+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping. #agentic #llm 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 requirements, 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.

Principal Applied Scientist Hyderabad, Telangana, India Date posted May 16, 2025 Job number 1787944 Work site Microsoft on-site only Travel None Role type Individual Contributor Profession Research, Applied, & Data Sciences Discipline Applied Sciences Employment type Full-Time Overview The Microsoft E+D India team is looking for high caliber and highly motivated AI Experts to reimagine productivity with AI and build transformative products for our commercial customers. Our team focuses on strategic workloads like M365 Copilot App, Outlook, Teams, Copilot Extensibility, and so on. In addition, the team obsesses about building next generation engineering infrastructure, tooling and process using AI for improving developer productivity and engineering efficiency. This provides every engineer with exceptional opportunities for rich learning, end-to-end ownership, autonomy, innovation and professional growth. Our team of Applied Scientists is chartered to tackle a wide variety of challenges, from building data ingestion to curating data for fine tuning to generating actionable insights to fine tune prompts to come up with evaluation metrics to make purpose-built SLMs to infuse AI in productivity scenarios to create AI tooling. 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’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. Preferred Qualifications: Solid 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, SLMs, LLMs, Finetuning with RLHF, etc.. #M365CORE Responsibilities 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. 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.

Principal Applied Scientist Bangalore, Karnataka, India Date posted May 30, 2025 Job number 1819211 Work site Up to 50% work from home Travel 0-25 % Role type Individual Contributor Profession Research, Applied, & Data Sciences Discipline Applied Sciences Employment type Full-Time Overview Do you want to be part of a team which delivers innovative products and machine learning solutions across Microsoft to hundreds of millions of users every month? Microsoft Turing team is an innovative engineering and applied research team working on state-of-the-art deep learning models, large language models and pioneering conversational search experiences. The team spearheads the platform and innovation for conversational search and the core copilot experiences across Microsoft’s ecosystem including BizChat, Office and Windows. As a Principal Applied Scientist in the Turing team, you be pushing & delivering on multiple tight timeline-based hands on data science activity and work, including training models, creating evaluation sets, building infrastructure for training and evaluation, and more. This will involve coordinating & aligning with internal & external data science, product & engineering teams across timezones. 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 12+ 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 10+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. At least 3+ years of experience delivering team level outcomes. 2+ years of industrial experience coding in C++, C#, C, Java or Python. Prior experience with data analysis or understanding, looking at data from a large-scale systems to identify patterns or create evaluation datasets. Familiarity with common machine learning, deep learning frameworks and concepts, using use of LLMs, prompting. Ability to communicate technical details clearly across organizational boundaries. Preferred Qualifications: 5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers). 2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker. #MSAI #Turing #LLMs #Modeltraining Responsibilities As a Principal Applied Scientist on our team, you'll be responsible for and will engage in: Driving projects from design through conception, implementation, experimentation and finally shipping to our users. This requires deep diving into data to identify gaps, coming up with heuristics and possible solutions, using LLMs to create the right model or evaluation prompts, and setting up the engineering pipeline or infrastructure to run them. Documenting progress & processing, assisting & guiding junior team members, aligning & unblocking them with other stakeholders in timezones. Coming up with evaluation techniques, datasets, criteria and metrics for model evaluations. These are often SOTA models or metrics / datasets. Hands on pre-training, fine-tuning, use of language models, including dataset creation, filtering, review, and continuous iteration. This may also require understanding of training frameworks, formats, checkpoints, stacks such as megatron. This requires working in a diverse geographically distributed team environment where collaboration and innovation are valued. You will have an opportunity for direct impact on design, functionality, security, performance, scalability, manageability, and supportability of Microsoft products that use our deep learning technology. 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.