Coupa makes margins multiply through its community-generated AI and industry-leading total spend management platform for businesses large and small. Coupa AI is informed by trillions of dollars of direct and indirect spend data across a global network of 10M+ buyers and suppliers. We empower you with the ability to predict, prescribe, and automate smarter, more profitable business decisions to improve operating margins. Why join Coupa? 🔹 Pioneering Technology: At Coupa, we're at the forefront of innovation, leveraging the latest technology to empower our customers with greater efficiency and visibility in their spend. 🔹 Collaborative Culture: We value collaboration and teamwork, and our culture is driven by transparency, openness, and a shared commitment to excellence. 🔹 Global Impact: Join a company where your work has a global, measurable impact on our clients, the business, and each other. Learn more on Life at Coupa blog and hear from our employees about their experiences working at Coupa. The Impact of Lead AI Engineer to Coupa: XXXX What you will do: Collaborate closely with product managers, engineers, and cross-functional stakeholders to define metrics and outcomes for AI-driven product features and capabilities Design, develop, and deploy sophisticated AI models, agents, and intelligent assistants leveraging Large Language Models (LLMs), including both language processing and advanced reasoning tasks Engineer robust, scalable, and reliable prompt-based solutions to effectively integrate LLMs into production-grade SaaS applications Implement experimentation frameworks, conduct rigorous evaluations, and iterate rapidly based on user feedback and data-driven insights Establish automated monitoring and quality assurance mechanisms for continuous evaluation and enhancement of model performance Provide strategic vision and technical leadership to navigate evolving trends and emerging methodologies within AI, particularly focusing on leveraging generative AI capabilities What you will bring to Coupa: Strong analytical and problem-solving skills focused on creating impactful AI-driven product experiences Proven expertise in Python for developing, deploying, and optimizing complex AI models and pipelines Extensive experience with Large Language Models (e.g., GPT-4o, Claude, LLaMA), including prompt engineering, fine-tuning, and evaluating performance Solid understanding of various machine learning paradigms (supervised, unsupervised, reinforcement learning) and practical experience deploying these methods at scale Deep knowledge of reasoning frameworks, agent architectures, retrieval-augmented generation (RAG), and related AI techniques Excellent proficiency in modern data architectures and experience with distributed data frameworks (e.g., Spark, Hadoop) Familiarity with cloud infrastructure (AWS, Azure, GCP) for deploying scalable AI/ML services Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders A strong drive to stay abreast of cutting-edge AI research and proactively integrate relevant innovations into production systems 5+ years of experience building, deploying, and managing AI/ML models in production environments Educational background in Computer Science, Data Science, Statistics, Mathematics, or related fields, or equivalent professional experience Experience with modern ML and AI development tools (e.g., Hugging Face, LangChain, PyTorch, TensorFlow) and visualization platforms (e.g., Streamlit, D3, Plotly, Matplotlib) Coupa complies with relevant laws and regulations regarding equal opportunity and offers a welcoming and inclusive work environment. Decisions related to hiring, compensation, training, or evaluating performance are made fairly, and we provide equal employment opportunities to all qualified candidates and employees. Please be advised that inquiries or resumes from recruiters will not be accepted. By submitting your application, you acknowledge that you have read Coupa’s Privacy Policy and understand that Coupa receives/collects your application, including your personal data, for the purposes of managing Coupa's ongoing recruitment and placement activities, including for employment purposes in the event of a successful application and for notification of future job opportunities if you did not succeed the first time. You will find more details about how your application is processed, the purposes of processing, and how long we retain your application in our Privacy Policy. Show more Show less

Roles & Responsibilities Core Skills Strong knowledge of statistics and probability theory Proficiency in at least one programming language such as Python and SQL Experience with data visualization tools such as PowerBI Understanding of machine learning algorithms and models Knowledge of data cleaning and preprocessing techniques Experience with data analysis and interpretation Experience 3-4.5 Years Skills Primary Skill: Data Science Sub Skill(s): Data Science Additional Skill(s): Python, Data Science About The Company Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail & CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP). Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Kraków, Noida, Gurgaon, Mumbai, Pune, and Bengaluru. Show more Show less

Roles & Responsibilities About the Role The Data Science department plays a pivotal role in our company, generating value to client by developing algorithms and analytical production-grade solutions. We leverage advanced techniques and algorithms to provide maximum value from data in all shapes and sizes (such as classification models, NLP, anomaly detection, graph theory, deep learning, and more). As a Data Scientist, you will assume the classic data-science role of an end-to-end project development and implementation practitioner. Being part of the team requires a mix of hard quantitative and analytical skills, solid background in statistical modeling and machine learning, a technical data-savvy nature, along with a passion for problem-solving and a desire to drive data-driven decision-making. What You'll Be Doing Data Exploration and Preprocessing: Collect, clean, and transform large, complex data sets from various sources to ensure data quality and integrity for analysis Statistical Analysis and Modeling: Apply statistical methods and mathematical models to identify patterns, trends, and relationships in data sets, and develop predictive models Machine Learning: Develop and implement machine learning algorithms, such as classification, regression, clustering, and deep learning, to solve business problems and improve processes Feature Engineering: Extract relevant features from structured and unstructured data sources, and design and engineer new features to enhance model performance Model Development and Evaluation: Build, train, and optimize machine learning models using state-of-the-art techniques, and evaluate model performance using appropriate metrics Data Visualization: Present complex analysis results in a clear and concise manner using data visualization techniques, and communicate insights to stakeholders effectively Collaborative Problem-Solving: Collaborate with cross-functional teams, including product managers, data engineers, software developers, and business stakeholders to identify data-driven solutions and implement them in production environments Research and Innovation: Stay up to date with the latest advancements in data science, machine learning, and related fields, and proactively explore new approaches to enhance the company's analytical capabilities Qualifications B.Sc (M.Sc is a plus) in Computer Science, Mathematics, Statistics, or a related field 3+ years of proven experience designing and implementing machine learning algorithms and successfully deploying them to production. Strong understanding and practical experience with various machine learning algorithms. Proficiency in Python, Experience with SQL and data manipulation tools (e.g., Pandas, NumPy) to extract, clean, and transform data for analysis Solid foundation in statistical concepts and techniques, including hypothesis testing, regression analysis, time series analysis, and experimental design Strong analytical and critical thinking skills to approach business problems, formulate hypotheses, and translate them into actionable solutions Proficiency in data visualization libraries, to create meaningful visual representations of complex data Excellent written and verbal communication skills to present complex findings and technical concepts to both technical and non-technical stakeholders Demonstrated ability to work effectively in cross-functional teams, collaborate with colleagues, and contribute to a positive work environment Advantages: Experience in the fraud domain Experience with Airflow, CircleCI, PySpark, Docker and K8S Senior Data Scientist Qualifications B.Sc (M.Sc is a plus) in Computer Science, Mathematics, Statistics, or a related field 5+ years of proven experience designing and implementing machine learning algorithms and successfully deploying them to production. Strong understanding and practical experience with various machine learning algorithms. Proficiency in Python, Experience with SQL and data manipulation tools (e.g., Pandas, NumPy) to extract, clean, and transform data for analysis Solid foundation in statistical concepts and techniques, including hypothesis testing, regression analysis, time series analysis, and experimental design Strong analytical and critical thinking skills to approach business problems, formulate hypotheses, and translate them into actionable solutions Proficiency in data visualization libraries, to create meaningful visual representations of complex data Excellent written and verbal communication skills to present complex findings and technical concepts to both technical and non-technical stakeholders Demonstrated ability to work effectively in cross-functional teams, collaborate with colleagues, and contribute to a positive work environment Advantages: Experience in the fraud domain Experience with Airflow, CircleCI, PySpark, Docker and K8S Data Scientist- Autonomous About Us Empowers businesses to unleash ecommerce growth by taking risk off the table. Many of the world’s biggest brands and publicly traded companies selling online rely on us for guaranteed protection against chargebacks, to fight fraud and policy abuse at scale, and to improve customer retention. Developed and managed by the largest team of ecommerce risk analysts, data scientists and researchers, AI-powered fraud and risk intelligence platform analyzes the individual behind each interaction to provide real-time decisions and robust identity-based insights. We are proud to work with incredible companies in virtually all industries including Wayfair, Acer, Gucci, Lorna Jane, GoPro, and many more We thrive in a collaborative work setting, alongside great people, to build and enhance products that matter. Abundant opportunities to create and contribute provide us with a sense of purpose that extends beyond ourselves, leaving a lasting impact. These sentiments capture why we choose every day. About The Role The Research and Data Science department plays a pivotal role in our company, generating value to client by developing algorithms and analytical production-grade solutions. We leverage advanced techniques and algorithms to provide maximum value from data in all shapes and sizes (such as classification models, NLP, anomaly detection, graph theory, deep learning, and more). As a Data Scientist, you will assume the classic data-science role of an end-to-end project development and implementation practitioner. Being part of the team requires a mix of hard quantitative and analytical skills, solid background in statistical modeling and machine learning, a technical data-savvy nature, along with a passion for problem-solving and a desire to drive data-driven decision-making. What You'll Be Doing Data Exploration and Preprocessing: Collect, clean, and transform large, complex data sets from various sources to ensure data quality and integrity for analysis Statistical Analysis and Modeling: Apply statistical methods and mathematical models to identify patterns, trends, and relationships in data sets, and develop predictive models Machine Learning: Develop and implement machine learning algorithms, such as classification, regression, clustering, and deep learning, to solve business problems and improve processes Feature Engineering: Extract relevant features from structured and unstructured data sources, and design and engineer new features to enhance model performance Model Development and Evaluation: Build, train, and optimize machine learning models using state-of-the-art techniques, and evaluate model performance using appropriate metrics Data Visualization: Present complex analysis results in a clear and concise manner using data visualization techniques, and communicate insights to stakeholders effectively Collaborative Problem-Solving: Collaborate with cross-functional teams, including product managers, data engineers, software developers, and business stakeholders to identify data-driven solutions and implement them in production environments Research and Innovation: Stay up to date with the latest advancements in data science, machine learning, and related fields, and proactively explore new approaches to enhance the company's analytical capabilities Qualifications B.Sc (M.Sc is a plus) in Statistics, Computer Science, Mathematics, or a related field 3+ years of proven experience designing and implementing machine learning algorithms and techniques in production grade Strong understanding and practical experience with various machine learning algorithms, such as linear regression, logistic regression, decision trees, similarity search, neural networks, and deep learning Proficiency in programming languages such as Python or R for data manipulation, statistical analysis, and machine learning model development Experience with SQL and data manipulation tools (e.g., Pandas, NumPy) to extract, clean, and transform data for analysis Solid foundation in statistical concepts and techniques, including hypothesis testing, regression analysis, time series analysis, and experimental design Strong analytical and critical thinking skills to approach business problems, formulate hypotheses, and translate them into actionable solutions Proficient in data visualization libraries (e.g., Matplotlib, Seaborn, ggplot) to create meaningful visual representations of complex data Excellent written and verbal communication skills to present complex findings and technical concepts to both technical and non-technical stakeholders Demonstrated ability to work effectively in cross-functional teams, collaborate with colleagues, and contribute to a positive work environmentAdvantages: Experience in the fraud domain Experience with Airflow, CircleCI, PySpark, Docker and K8S Experience 6-8 Years Skills Primary Skill: Data Science Sub Skill(s): Data Science Additional Skill(s): AI/ML Development, Data Science About The Company Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail & CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP). Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Kraków, Noida, Gurgaon, Mumbai, Pune, and Bengaluru. Show more Show less

Job Title : Technical Architect - Data Governance & MDM Experience: 15+ years Location: Mumbai/Pune/Bangalore Role Overview: The Technical Architect specializing in Data Governance and Master Data Management (MDM) designs, implements, and optimizes enterprise data solutions. The jobholder has expertise in tools like Collibra, Informatica, InfoSphere, Reltio, and other MDM platforms, ensuring data quality, compliance, and governance across the organization. Responsibilities: Architect and optimize strategies for data quality, metadata management, and data stewardship. Design and implement data governance frameworks and MDM solutions using tools like Collibra, Informatica, InfoSphere, and Reltio. Develop strategies for data quality, metadata management, and data stewardship. Collaborate with cross-functional teams to integrate MDM solutions with existing systems. Establish best practices for data governance, security, and compliance. Monitor and troubleshoot MDM environments for performance and reliability. Provide technical leadership and guidance to data teams. Stay updated on advancements in data governance and MDM technologies. Key Technical Skills. 10+ years of experience working on DG/MDM projects Strong on Data Governance concepts Hands-on different DG tools/services Hands-on Reference Data, Taxonomy Strong understanding of Data Governance, Data Quality, Data Profiling, Data Standards, Regulations, Security Match and Merge strategy Design and implement the MDM Architecture and Data Models Usage of Spark capabilities Statistics to deduce meanings from vast enterprise level data Different data visualization means of analyzing huge data sets Good to have knowledge of Python/R/Scala languages Experience on DG on-premise and on-cloud Understanding of MDM, Customer, Product, Vendor Domains and related artifacts Experience of working on proposals, customer workshops, assessments etc is preferred Must have good communication and presentation skills Technology Stack - Collibra, IBM MDM, Reltio, Infosphere Eligibility Criteria 15+ years of total experience. Bachelor’s degree in Computer Science, Data Management, or a related field. Proven experience as a Technical Architect in Data Governance and MDM. Certifications in relevant MDM tools (e.g., Collibra Data Governance, Informatica / InfoSphere / Reltio MDM, ). Experience with cloud platforms like AWS, Azure, or GCP. Proficiency in tools like Collibra, Informatica, InfoSphere, Reltio, and similar platforms. Strong understanding of data modeling, ETL/ELT processes, and cloud integration. Interested candidates can apply directly. Alternatively, you can also send your resume to ansari.m@atos.net Show more Show less

Company Overview Team Geek Solutions is a forward-thinking organization dedicated to delivering innovative data-driven solutions. Our mission is to empower businesses with actionable insights through advanced analytics and visualization tools. We value collaboration, integrity, and continuous improvement, fostering a culture where knowledge and skills are shared, promoting professional growth and camaraderie among our team members. Role Responsibilities Develop and maintain analytical dashboards using Tableau. Utilize Alteryx to automate data workflows and improve efficiency. Conduct data quality assessments to ensure accuracy and reliability. Transform raw data into actionable insights for different stakeholders. Collaborate with cross-functional teams to gather data requirements. Perform statistical analysis and predictive modeling to support decision-making. Present data findings in a clear and compelling manner to stakeholders. Create and manage datasets for analytics projects including data preparation, cleaning, and manipulation. Monitor dashboard performance and optimize visualization for user experience. Provide training and support on data tools and best practices. Stay updated on the latest industry trends and tools in data analytics. Document analytical processes and methodologies for future reference. Assist in developing and implementing data governance frameworks. Collaborate with IT to ensure data security and integrity. Support ad-hoc data analysis requests from management. Qualifications Bachelor’s degree in Data Science, Statistics, Mathematics, or a related field. Proven experience in data analytics with Alteryx and Tableau. Strong proficiency in SQL for data retrieval and manipulation. Excellent understanding of data visualization principles. Experience in statistical analysis and reporting. Ability to work both independently and as part of a team. Proficient in Excel for advanced data functions. Strong analytical and problem-solving skills. Excellent verbal and written communication skills. Detail-oriented with a commitment to quality work. Ability to manage multiple projects and deadlines. Experience with data governance and management practices. Comfortable with tools like R or Python is a plus. Skills in project management methodologies are an advantage. Willingness to learn and adapt to new technologies. Minimum 2 years of relevant professional experience. Skills: tableau,statistical analysis,visualization,data visualization,data manipulation,sql,project management,python,excel,communication skills,alteryx,data analysis,r Show more Show less

POSITION TITLE: Monitoring, Evaluation and Learning (MEL) Manager, EpiC India REPORTS TO: Team Leaders/Sr. Technical Advisor-HIV, EpiC India LOCATION: New Delhi, India DURATION: Till December 2025 (extendable subject to funding availability) About FHI 360 FHI 360 is a nonprofit human development organization dedicated to improving lives in lasting ways by advancing integrated, locally driven solutions. FHI 360’s technical areas encompass a range of public health priorities, including HIV and AIDS; family planning and reproductive health; maternal and child health; health systems strengthening; integrated health and development; and infectious diseases, including tuberculosis and malaria, and more recently COVID-19 and Mpox. For more information, visit: https://www.fhi360.org. Background (EpiC Project) Meeting Targets and Achieving Epidemic Control (EpiC) is a global project funded by the U.S. President’s Emergency Plan for AIDS Relief (PEPFAR) that provides strategic technical assistance and direct service delivery to achieve HIV epidemic control among at-risk populations and strengthen global health security. EpiC has been operational in India since 2021 and had been focusing on organizational capacity strengthening of community-based organizations (CBOs) working with vulnerable and at-risk populations in the states of Maharashtra and Telangana, and national level networks. Additionally, EpiC has been supporting lifesaving activities for people living with HIV (PLHIV) by addressing non-communicable disease (NCD) screening and management among adult/aging PLHIV clients; and enhancing engagement of young people living with HIV (YLHIV) for index testing and promotion of early initiation and retention on treatment, and responsible living through U=U messaging. In the light of the Executive Order issued by the Trump administration in January 2025, the EpiC India workplan for fiscal year 2025 is being revised to support implementation of lifesaving activities that align to the guidance issued by The Bureau of Global Health Security and Diplomacy (GHSD). In the PEPFAR supported geography of Maharashtra, EpiC is to: Accelerate early HIV case finding among hidden and unreached at-risk populations in community and facility settings to meet the 1st 95 goals. Support lifesaving care and treatment linkages through early linkage and retention on treatment, viral suppression to meet the 2nd and 3rd 95 goals. Address co-morbidities including mitigation of advanced HIV disease (AHD), tuberculosis (TB), opportunistic infections (OIs) and NCDs among adult PLHIV. Job Summary FHI 360 is seeking applications from qualified and experienced candidates to fill a new position of Monitoring, Evaluation and Learning (MEL) Manager for EpiC India. The incumbent is to be based at the FHI 360 Country Office in New Delhi and will be responsible for all strategic information (SI) responsibilities related to the project, including all monitoring, evaluation, analytics, reporting and documentation of performance and results. The MEL Manager will work closely with the project leadership, state and district level program and SI team members of EpiC and sub-grantee partners, to enhance or develop systems across sites and technical/thematic areas to support monitoring of service delivery and performance in real-time to improve service quality and impact and to meet reporting requirements. S/he will work across technical teams to provide consistent guidance and training on appropriate results frameworks and knowledge management practices for the project and its strategies. The MEL Manager will systematically strengthen the alignment of program strategies and activities to lessons learned from program data and client experiences. Job Responsibilities: Set-up / enhance the MEL and performance reporting system for the EpiC project, which will include working with the program team and sub-grantees to collect, analyze, monitor and report on performance of HIV services and activities. Develop tools and formats for data collection, analysis, interpretation and reporting in line with USAID’s latest MER indicators. Support the program team in defining the M&E roles of sub-grantees, reporting frequency, review mechanisms and set-up standardized monitoring mechanisms. Routinely support capacity building of EpiC and sub-grantee staff on M&E and ensure that the teams are oriented on the latest MER indicators and NACO/SACS M&E guidance and confidentiality norms. Review M&E data and reports from the field and ensure their accuracy and appropriateness by analyzing and interpreting the data, and support in data triangulation, visualization to track and monitor progress against targets. Facilitate routine quality checks and validation of sub-grantee/s data and provide feedback to the field staff based on the quality checks and validation exercise. Ensure adherence to quarterly data quality audits as required by donor/EpiC HQ. Ensure that supporting documentation is maintained for all data that is reported to FHI 360 HQ, USAID/PEPFAR, NACO, SACS and DAPCU and entered timely in DATIM. Support the EpiC program team in compilation of the monthly, quarterly and semi-annual progress reports and Plan of Action for Results Tracking (POART) slides and other ad hoc reporting requests. Liaise with relevant technical advisers and counterparts responsible for strategic information (SI) and M&E at EpiC HQ, and support coordination for country-level assistance as needed. Strengthen knowledge management deliverables for the project including documentation of case studies, success stories and other reports. Minimum Qualifications: Master’s degree or higher in epidemiology, M&E, demography, biostatistics, statistics, analytics, public health or other relevant discipline. Minimum 8 year experience on designing, establishing, and managing M&E systems, ensuring data quality, and analyzing data to support performance improvement of programs. Experience of working on M&E system for HIV programs is essential. Previous experience working with USAID or PEPFAR supported program is preferable. Demonstrated expertise in data analysis, managing online databases to ensure easy access to data and data reports, experience in Tableau or Power BI preferred. Demonstrated ability to perform complex data analytics utilizing Microsoft Excel, STATA, Epi Info; and/or software. Demonstrated ability to perform complex data analyses and make recommendations based on findings. Demonstrated working knowledge of the Indian health and social service information systems and M&E processes as it relates to data collection for performance-based reporting. Fluency in interpersonal, writing and oral presentation skills in English. The position will be based in New Delhi, India and work out of the FHI 360 Country office and is open for Indian national candidates only. This job description summarizes the main duties of the job. It neither prescribes nor restricts the exact tasks that may be assigned to carry out these duties. This document should not be construed in any way to represent a contract of employment. Management reserves the right to review and revise this document at any time. Suitably qualified candidates openly living with HIV are also actively encouraged to apply. Compensation: Compensation levels at FHI 360 are equivalent to market rates within the development sector. However, offers shall be based on salary history, relevant experience, and qualifications. Please send your resumes to hrindia@fhi360.org. It is necessary to mention the post title in the subject line while applying. Only short-listed candidates will be notified. No calls/ emails will be entertained. This job posting summarizes the main duties of the job. It neither prescribes nor restricts the exact tasks that may be assigned to carry out these duties. This document should not be construed in any way to represent a contract of employment. Management reserves the right to review and revise this document at any time. FHI 360 is an equal opportunity and affirmative action employer whereby we do not engage in practices that discriminate against any person employed or seeking employment based on race, color, religion, sex, sexual orientation, gender identity, national or ethnic origin, age, marital status, physical or mental disability, protected Veteran status, or any other characteristic protected under applicable law. Our values and commitments to safeguarding: FHI 360 is committed to preventing any type of abuse, exploitation and harassment in our work environments and programs, including sexual abuse, exploitation and harassment. FHI 360 takes steps to safeguard the welfare of everyone who engages with our organization and programs and requires that all personnel, including staff members and volunteers, share this commitment and sign our code of conduct. All offers of employment will be subject to appropriate screening checks, including reference, criminal record and terrorism finance checks. FHI 360 also participates in the Inter-Agency Misconduct Disclosure Scheme (MDS), facilitated by the Steering Committee for Humanitarian Response. In line with the MDS, we will request information from job applicants’ previous employers about any substantiated findings of sexual abuse, exploitation and/or harassment during the applicant’s tenure with previous employers. By applying, job applicants confirm their understanding of these recruitment procedures and consent to these screening checks. FHI 360 will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws. FHI 360 will never ask you for your career site username or password, and we will never request money, goods or services during the application, recruitment or employment process. If you have questions or concerns about correspondence from us, please email CareerCenterSupport@fhi360.org. FHI 360 fosters the strength and health of its workforce through a competitive benefits package, professional development and policies and programs that support a healthy work/life balance. Join our global workforce to make a positive difference for others — and yourself. Please click here to continue searching FHI 360's Career Portal. Show more Show less

Requisition Id : 1617984 The opportunity Due to continuing expansion we have new opportunities for ambitious individuals to join our Tax Team. You will receive extensive training and support from a variety of leading tax professionals to assist you in building a successful career within EY. Your key responsibilities Maintain continuous interaction with clients, manage expectations and ensure outstanding client service. Team with tax professionals to provide comprehensive tax solutions. Representing the firm for assessments and tribunal appeals at the CIT/ITAT level. Experience in domestic and/or international tax and transfer pricing. Experience in litigation, tax compliance and advisory. Experience in corporate laws, SEBI/FEMA regulation etc. Research complex tax theory and positions, and apply them to specific client needs. Provide comprehensive knowledge and reviews of tax case laws and develop opinion papers. Determine all information required to ensure/complete accurate tax compliance products within the budget. Formulate a plan to gather/communicate information. Determine areas of exposure and adapt to challenges in the compliance process. Provide timely and high-quality services and work products that exceed client expectations Skills and attributes for success Excellent managerial, organizational, analytical and verbal/written communication skills Ability to thrive in a fast-paced, professional services environment To qualify for the role you must have An undergraduate degree, preferably with an emphasis in economics, finance or statistics; Minimum 1-3 years of experience A certified CA/CS/LLB with at 0 - 1 years of post-qualification experience in direct corporate tax Ideally you’ll also have Comfortable interacting with senior executives (within the firm and at the client) Be highly flexible, adaptable, and creative. What we look for People with the ability to work in a collaborative way to provide services across multiple client departments while adhering to commercial and legal requirements. You will need a practical approach to solving issues and complex problems with the ability to deliver insightful and practical solutions. What working at EY offers EY is committed to being an inclusive employer and we are happy to consider flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service whilst allowing you to build your career without sacrificing your personal priorities. While our client-facing professionals can be required to travel regularly, and at times be based at client sites, our flexible working arrangements can help you to achieve a lifestyle balance. About EY As a global leader in assurance, tax, transaction and advisory services, we’re using the finance products, expertise and systems we’ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we’ll make our ambition to be the best employer by 2020 a reality. Show more Show less

Company Overview Team Geek Solutions is a forward-thinking organization dedicated to delivering innovative data-driven solutions. Our mission is to empower businesses with actionable insights through advanced analytics and visualization tools. We value collaboration, integrity, and continuous improvement, fostering a culture where knowledge and skills are shared, promoting professional growth and camaraderie among our team members. Role Responsibilities Develop and maintain analytical dashboards using Tableau. Utilize Alteryx to automate data workflows and improve efficiency. Conduct data quality assessments to ensure accuracy and reliability. Transform raw data into actionable insights for different stakeholders. Collaborate with cross-functional teams to gather data requirements. Perform statistical analysis and predictive modeling to support decision-making. Present data findings in a clear and compelling manner to stakeholders. Create and manage datasets for analytics projects including data preparation, cleaning, and manipulation. Monitor dashboard performance and optimize visualization for user experience. Provide training and support on data tools and best practices. Stay updated on the latest industry trends and tools in data analytics. Document analytical processes and methodologies for future reference. Assist in developing and implementing data governance frameworks. Collaborate with IT to ensure data security and integrity. Support ad-hoc data analysis requests from management. Qualifications Bachelor’s degree in Data Science, Statistics, Mathematics, or a related field. Proven experience in data analytics with Alteryx and Tableau. Strong proficiency in SQL for data retrieval and manipulation. Excellent understanding of data visualization principles. Experience in statistical analysis and reporting. Ability to work both independently and as part of a team. Proficient in Excel for advanced data functions. Strong analytical and problem-solving skills. Excellent verbal and written communication skills. Detail-oriented with a commitment to quality work. Ability to manage multiple projects and deadlines. Experience with data governance and management practices. Comfortable with tools like R or Python is a plus. Skills in project management methodologies are an advantage. Willingness to learn and adapt to new technologies. Minimum 2 years of relevant professional experience. Skills: tableau,statistical analysis,visualization,data visualization,data manipulation,sql,project management,python,excel,communication skills,alteryx,data analysis,r Show more Show less

Company Overview Team Geek Solutions is a forward-thinking organization dedicated to delivering innovative data-driven solutions. Our mission is to empower businesses with actionable insights through advanced analytics and visualization tools. We value collaboration, integrity, and continuous improvement, fostering a culture where knowledge and skills are shared, promoting professional growth and camaraderie among our team members. Role Responsibilities Develop and maintain analytical dashboards using Tableau. Utilize Alteryx to automate data workflows and improve efficiency. Conduct data quality assessments to ensure accuracy and reliability. Transform raw data into actionable insights for different stakeholders. Collaborate with cross-functional teams to gather data requirements. Perform statistical analysis and predictive modeling to support decision-making. Present data findings in a clear and compelling manner to stakeholders. Create and manage datasets for analytics projects including data preparation, cleaning, and manipulation. Monitor dashboard performance and optimize visualization for user experience. Provide training and support on data tools and best practices. Stay updated on the latest industry trends and tools in data analytics. Document analytical processes and methodologies for future reference. Assist in developing and implementing data governance frameworks. Collaborate with IT to ensure data security and integrity. Support ad-hoc data analysis requests from management. Qualifications Bachelor’s degree in Data Science, Statistics, Mathematics, or a related field. Proven experience in data analytics with Alteryx and Tableau. Strong proficiency in SQL for data retrieval and manipulation. Excellent understanding of data visualization principles. Experience in statistical analysis and reporting. Ability to work both independently and as part of a team. Proficient in Excel for advanced data functions. Strong analytical and problem-solving skills. Excellent verbal and written communication skills. Detail-oriented with a commitment to quality work. Ability to manage multiple projects and deadlines. Experience with data governance and management practices. Comfortable with tools like R or Python is a plus. Skills in project management methodologies are an advantage. Willingness to learn and adapt to new technologies. Minimum 2 years of relevant professional experience. Skills: tableau,statistical analysis,visualization,data visualization,data manipulation,sql,project management,python,excel,communication skills,alteryx,data analysis,r Show more Show less

Job Description 🔹Position: Senior Data Analyst 📍Location: Trivandrum/Kochi / Remote 🕓 Experience: 5+ Years ⌛ Notice Period: Immediate Joiners Only 🛠 Mandatory Skills: SQL, Power BI, Python, Amazon Athena 🔎 Job Purpose We are seeking an experienced and analytical Senior Data Analyst to join our Data & Analytics team. The ideal candidate will have a strong background in data analysis, visualization, and stakeholder communication. You will be responsible for turning data into actionable insights that help shape strategic and operational decisions across the organization. 📍Job Description / Duties & Responsibilities Collaborate with business stakeholders to understand data needs and translate them into analytical requirements. Analyze large datasets to uncover trends, patterns, and actionable insights. Design and build dashboards and reports using Power BI. Perform ad-hoc analysis and develop data-driven narratives to support decision-making. Ensure data accuracy, consistency, and integrity through data validation and quality checks. Build and maintain SQL queries, views, and data models for reporting purposes. Communicate findings clearly through presentations, visualizations, and written summaries. Partner with data engineers and architects to improve data pipelines and architecture. Contribute to the definition of KPIs, metrics, and data governance standards. 📍Job Specification / Skills and Competencies Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related field. 5+ years of experience in a data analyst or business intelligence role. Advanced proficiency in SQL and experience working with relational databases (e.g. SQL Server, Redshift, Snowflake). Hands-on experience in Power BI. Proficiency in Python, Excel and data storytelling. Understanding of data modelling, ETL concepts, and basic data architecture. Strong analytical thinking and problem-solving skills. Excellent communication and stakeholder management skills To adhere to the Information Security Management policies and procedures. 📍Soft Skills Required Must be a good team player with good communication skills Must have good presentation skills Must be a pro-active problem solver and a leader by self Manage & nurture a team of data engineers Show more Show less

Requisition Id : 1617982 The opportunity Due to continuing expansion we have new opportunities for ambitious individuals to join our Tax Team. You will receive extensive training and support from a variety of leading tax professionals to assist you in building a successful career within EY. Your key responsibilities Maintain continuous interaction with clients, manage expectations and ensure outstanding client service. Team with tax professionals to provide comprehensive tax solutions. Representing the firm for assessments and tribunal appeals at the CIT/ITAT level. Experience in domestic and/or international tax and transfer pricing. Experience in litigation, tax compliance and advisory. Experience in corporate laws, SEBI/FEMA regulation etc. Research complex tax theory and positions, and apply them to specific client needs. Provide comprehensive knowledge and reviews of tax case laws and develop opinion papers. Determine all information required to ensure/complete accurate tax compliance products within the budget. Formulate a plan to gather/communicate information. Determine areas of exposure and adapt to challenges in the compliance process. Provide timely and high-quality services and work products that exceed client expectations Skills and attributes for success Excellent managerial, organizational, analytical and verbal/written communication skills Ability to thrive in a fast-paced, professional services environment To qualify for the role you must have An undergraduate degree, preferably with an emphasis in economics, finance or statistics; Minimum 1-3 years of experience A certified CA/CS/LLB with at 0 - 1 years of post-qualification experience in direct corporate tax Ideally you’ll also have Comfortable interacting with senior executives (within the firm and at the client) Be highly flexible, adaptable, and creative. What we look for People with the ability to work in a collaborative way to provide services across multiple client departments while adhering to commercial and legal requirements. You will need a practical approach to solving issues and complex problems with the ability to deliver insightful and practical solutions. What working at EY offers EY is committed to being an inclusive employer and we are happy to consider flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service whilst allowing you to build your career without sacrificing your personal priorities. While our client-facing professionals can be required to travel regularly, and at times be based at client sites, our flexible working arrangements can help you to achieve a lifestyle balance. About EY As a global leader in assurance, tax, transaction and advisory services, we’re using the finance products, expertise and systems we’ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we’ll make our ambition to be the best employer by 2020 a reality. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Discipline-Strategic Pricing and Insights, Pursuits & Commercial Excellence Role Type-Pricing Support Specialist - Supervising Associate The opportunity The Strategic Pricing & Insights (SPI) group leads our firm's commercial transformation, optimizing our price-to-value ratio for opportunities, architecting differentiated commercial structures, and integrating market and competitor intelligence into our messaging to enhance win odds and expand margins. We are part of the Pursuits & Commercial Excellence team. As a Pricing Support Specialist - Supervising Associate within the Pricing & Contract Management team aligned to the Strategic Pricing and Insights Group based out of GDS, you’ll support all aspects of firm’s commercial transformation through tailored pursuit support, activation of self-enabled tools and development of thought leadership to accelerate a value-focused pricing and commercial culture. Leveraging a robust set of sales, price, solution, and commercial benchmarks and analytics, you’ll work towards actual creation and refinement of pricing models under guidance and consultation of Manager/ Sr. Manager on pursuits that are cross service line rate and project-based pursuits spanning transformational consulting, managed service, co-source, joint venture and alliance business models following consistent pricing and commercial strategies. You will be expected to be involved with creation of multiple iterations and versions of hypothesis to support execution of solution testing and refinement. Beyond tailored pursuit support, you will be expected to embrace a growth mindset, actively seeking to improve your pricing and commercial acumen through learning and development. Your Key Responsibilities As a Pricing Support Specialist, you’ll be responsible for providing support to the Manager/ Sr. Manager from qualification to close across all pricing, financial and commercial aspects of the pursuits. You will support in refining pricing models in line with the differentiated value of solution provided and assist in shaping pursuits by integrating market benchmarks and other available competitive intelligence. Provide the required support in terms of data and intelligence to the Commercial Architect (Sr. Manager/ Associate Director) in the collaboration meetings/ sessions with solution architects and domain experts. You will assist the pursuit leaders in bringing forward researched perspectives about competitor solution, pricing, and commercial positioning to be utilized as part of the win strategy to support a pricing strategy based on perceived differentiation, working across pursuit leaders, senior commercial architects, and stakeholders to achieve target. As part of data quality improvement process, you will be expected to support activities to curate market and competitive intelligence across primary, secondary, and third-party research channels into an integrated ecosystem of sales, price, solution, and commercial benchmarks positioning supported and self-enabled pursuits to price with conviction, confident in our differentiated value, resulting in increased win odds and profitable growth. Help model the forecasted economics based on accounting standards and internal policies /guidelines, ensuring a compelling ROI for EY and our clients. Will assist in the development of commercial constructs and terms that are in the best interest of EY and the client, that incentivize mutually aligned behaviours, and differentiate EY Skills And Attributes For Success Ability to execute performance standards with a high degree of independence and autonomy. Thriving in a matrixed organization is essential, balancing the needs of the client against business initiatives and goals. Ability to design, model, shape and structure business models utilizing input, output and outcome based commercial models Knowledge of a broad spectrum of pricing strategies applicable to professional services including cost, client value, client willingness to pay and competition driven Ability to simplify the complex, establish credibility quickly and build trust-based influence with peers while navigating the availability of limited/ambiguous information. Very strong financial modelling skills To qualify for the role, you must have 3-6+ years of experience in professional services environment preferrable in pricing and commercials function. Master’s degree in relevant field(s) like finance, accounting, statistics, or equivalent practical experience. Exposure to financial modelling, accounting, budgeting, and associated metrics Ideally, you’ll also have Ability to execute performance standards with high degree of quality and independence. Strong communication, facilitation, and presentation skills. High proficiency at collaborating and dealing with ambiguity. Ability to be highly flexible, adaptable, and creative. Expert level proficiency with MS Office applications like Excel, PowerPoint, Word etc. Ability to travel. Technologies and Tools Advance knowledge and hands on experience in Excel PowerPoint Word What We Look For One who can be a self-starter and who actively invests in oneself to develop and learn methods, tools, and capabilities to deliver better results, create exceptional experiences. One who executes with discipline and rigor, improving the consistency and use of leading practices in our approach to winning. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

Company Overview DevBytes is your ultimate go-to app for the latest content from the tech, startup, and dev worlds. With just a tap, you may dive into the freshest trends in AI, ML, cloud, AR/VR, cybersecurity, NLP, data science, DevOps, and everything coding. It is your one-stop platform for tech news on the fly, delivering trending updates daily from industry giants like Google, OpenAI, Apple, Meta, Amazon, X, Netflix, Tesla, Microsoft, SpaceX, and beyond. Stay in the loop on the stories that matter to you. Role and Responsibilities Design, develop, and optimize machine learning algorithms and models. Collaborate with cross-functional teams to integrate AI solutions into existing systems. Analyze large datasets to extract actionable insights and identify patterns. Research and implement state-of-the-art AI techniques and frameworks. Develop APIs or services to deploy models for real-world applications. Monitor and maintain the performance and accuracy of AI models in production. Ensure AI systems adhere to ethical guidelines, fairness, and privacy standards. Qualifications- Completed a Bachelor's/Master's in Computer Science or IT, with 2+ years of development experience. Experience with data preprocessing, feature engineering, and model evaluation. Solid understanding of probability, statistics, and data analysis Hands-on experience with Python. Proven ability to write clean, efficient, and modular code. Deep understanding of machine learning fundamentals. Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes). Show more Show less

Requisition Id : 1617985 The opportunity Due to continuing expansion we have new opportunities for ambitious individuals to join our Tax Team. You will receive extensive training and support from a variety of leading tax professionals to assist you in building a successful career within EY. Your key responsibilities Maintain continuous interaction with clients, manage expectations and ensure outstanding client service. Team with tax professionals to provide comprehensive tax solutions. Representing the firm for assessments and tribunal appeals at the CIT/ITAT level. Experience in domestic and/or international tax and transfer pricing. Experience in litigation, tax compliance and advisory. Experience in corporate laws, SEBI/FEMA regulation etc. Research complex tax theory and positions, and apply them to specific client needs. Provide comprehensive knowledge and reviews of tax case laws and develop opinion papers. Determine all information required to ensure/complete accurate tax compliance products within the budget. Formulate a plan to gather/communicate information. Determine areas of exposure and adapt to challenges in the compliance process. Provide timely and high-quality services and work products that exceed client expectations Skills and attributes for success Excellent managerial, organizational, analytical and verbal/written communication skills Ability to thrive in a fast-paced, professional services environment To qualify for the role you must have An undergraduate degree, preferably with an emphasis in economics, finance or statistics; Minimum 1-3 years of experience A certified CA/CS/LLB with at 0 - 1 years of post-qualification experience in direct corporate tax Ideally you’ll also have Comfortable interacting with senior executives (within the firm and at the client) Be highly flexible, adaptable, and creative. What we look for People with the ability to work in a collaborative way to provide services across multiple client departments while adhering to commercial and legal requirements. You will need a practical approach to solving issues and complex problems with the ability to deliver insightful and practical solutions. What working at EY offers EY is committed to being an inclusive employer and we are happy to consider flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service whilst allowing you to build your career without sacrificing your personal priorities. While our client-facing professionals can be required to travel regularly, and at times be based at client sites, our flexible working arrangements can help you to achieve a lifestyle balance. About EY As a global leader in assurance, tax, transaction and advisory services, we’re using the finance products, expertise and systems we’ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we’ll make our ambition to be the best employer by 2020 a reality. Show more Show less

At o9 Solutions, our mission is clear: be the Most Valuable Platform (MVP) for enterprises. With our AI-driven platform — the o9 Digital Brain — we integrate global enterprises’ siloed planning capabilities, helping them capture millions and, in some cases, billions of dollars in value leakage. But our impact doesn’t stop there. Businesses that plan better and faster also reduce waste, which drives better outcomes for the planet, too. We're on the lookout for the brightest, most committed individuals to join us on our mission. Along the journey, we’ll provide you with a nurturing environment where you can be part of something truly extraordinary and make a real difference for companies and the plane t What you’ll do for us: Apply a variety of machine learning techniques (clustering, regression, ensemble learning, neural nets, time series, optimizations etc.) to their real-world advantages/drawbacks Develop and/or optimize models for demand sensing/forecasting, optimization (Heuristic, LP, GA etc), Anomaly detection, Simulation and stochastic models, Market Intelligence etc. Use latest advancements in AI/ML to solve business problems Analyze problems by synthesizing complex information, evaluating alternate methods, and articulating the result with the relevant assumptions/reasons Application of common business metrics (Forecast Accuracy, Bias, MAPE) and the ability to generate new ones as needed. Develop or optimize modules to call web services for real time integration with externa systems Work collaboratively with Clients, Project Management, Solution Architects, Consultants and Data Engineers to ensure successful delivery of o9 projects What you’ll have: Experience: 4+ Years of experience in time series forecasting in scale using heuristic-based hierarchical best-fit models using algorithms like exponential smoothing, ARIMA, prophet and custom parameter tuning. Experience in applied analytical methods in the field of Supply chain and planning, like demand planning, supply planning, market intelligence, optimal assortments/pricing/inventory etc. Should be from a statistical background. Education: Bachelors Degree in Computer Science, Mathematics, Statistics, Economics, Engineering or related field Languages: Python and/or R for Data Science Skills: Deep Knowledge of statistical and machine learning algorithms, building scalable ML frameworks, identifying and collecting relevant input data, feature engineering, tuning, and testing. Characteristics: Independent thinkers Strong presentation and communications skills We really value team spirit: Transparency and frequent communication is key. At o9, this is not limited by hierarchy, distance, or function. Nice to have: Experience with SQL, databases and ETL tools or similar is optional but preferred Exposure to distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, or related Big Data technologies Experience with Deep Learning frameworks such as Keras, Tensorflow or PyTorch is preferable Experience in implementing planning applications will be a plus Understanding of Supply Chain Concepts will be preferable Masters Degree in Computer Science, Applied Mathematics, Statistics, Engineering, Business Analytics, Operations, or related field What we’ll do for you Competitive salary with stock options to eligible candidates Flat organization: With a very strong entrepreneurial culture (and no corporate politics) Great people and unlimited fun at work Possibility to make a difference in a scale-up environment. Opportunity to travel onsite in specific phases depending on project requirements. Support network: Work with a team you can learn from everyday. Diversity: We pride ourselves on our international working environment. Work-Life Balance: https://youtu.be/IHSZeUPATBA?feature=shared Feel part of A team: https://youtu.be/QbjtgaCyhes?feature=shared How the process works Apply by clicking the button below You’ll be contacted by our recruiter, who’ll fill you in on all things at o9, give you some background about the role and get to know you. They’ll contact you either via video call or phone call - whatever you prefer. During the interview phase, you will meet with technical panels for 60 minutes. The recruiter will contact you after the interview to let you know if we’d like to progress your application. We will have 2 rounds of Technical discussion followed by a Hiring Manager discussion. Our recruiter will let you know if you’re the successful candidate. Good luck! More about us … With the latest increase in our valuation from $2.7B to $3.7B despite challenging global macroeconomic conditions, o9 Solutions is one of the fastest-growing technology companies in the world today. Our mission is to digitally transform planning and decision-making for the enterprise and the planet. Our culture is high-energy and drives us to aim 10x in everything we do. Our platform, the o9 Digital Brain, is the premier AI-powered, cloud-native platform driving the digital transformations of major global enterprises including Google, Walmart, ABInBev, Starbucks and many others. Our headquarters are located in Dallas, with offices in Amsterdam, Paris, London, Barcelona, Madrid, Sao Paolo, Bengaluru, Tokyo, Seoul, Milan, Stockholm, Sydney, Shanghai, Singapore an d Munich. o9 is an equal opportunity employer and seeks applicants of diverse backgrounds and hires without regard to race, colour, gender, religion, national origin, citizenship, age, sexual orientation or any other characteristic protected by law Show more Show less

Raipur District, Chhattisgarh Posted 3 hours ago About Organisation: LEPRA Society is an organization working for people affected by Leprosy, lymphatic filariasis, TB, HIV/AIDS & other NTDs, Eye Care and governed by a board comprising of distinguished individuals from across India. About the Project: With the support of The Global Fund to Fight AIDS, Tuberculosis, and Malaria (GFATM) and guidance from the Central TB Division, will be implementing; (a) Integrated Pediatric TB care services in both the public and private health sectors to increase pediatric TB case detection and improve treatment outcomes, and (b) Active Case Finding (ACF) for early detection of missing TB cases among key and vulnerable populations, using innovative AI-enabled portable X-ray devices. The project will be carried out through Sub-Recipient (SR) partners in the states of Chhattisgarh, Karnataka, Haryana, Punjab, Rajasthan, Telangana, and Uttar Pradesh. LEPRA Society seek State M& E Officer based at State headquarter of the implementation geographies to lead implementation of project “Decentralizing Pediatric TB Care Services in Public & Private Health Sector and enhance case detection through ACF with Handheld X-Ray across selected geographies” in Raipur District – Chattisgarh State. The position is for immediate employment Key Responsibilities The State M&E Officer will support the project monitoring functions and management of the MIS for both the pediatric TB and ACF components as assigned. The major responsibilities include: Manage and implement the project MIS based on the M&E framework, plan and conduct periodic updating based on the project requirements Supporting field testing and finalization of data collection tools and formats Ensure the data management of the project and data analysis activities Carry out routine analysis of Nikshay & Project data and provide performance feedback to the team at State & Districts. Conduct MIS assessments to identify problems and to test solutions Capacity building and mentorship of District teams on M&E aspects Conducting data validation and data quality audits, identifying gaps, and providing critical inputs for improving M&E systems and providing feedback to the State & District team. Ensure strengthening of program monitoring and its alignment with state priorities Coordinating with multiple agencies (Government & NGOs) to advance M&E activities at State & District level Assist the State & PR Team on all M&E aspects required for the achievement of program targets and ensure all program data is available for evidence-based program management Maintenance of documentation related to M&E activities for compliance including monthly and quarterly reports. Preparation of reports and presentations for meetings/trainings and contribution to publications and advocacy documents Any additional responsibilities as per the project requirements Qualifications and Skills: Graduate in statistics, computer science, demography, Public Health, sociology or allied field with quantitative analysis training skills; Having a minimum of three years of relevant experience in health and development sector areas as M&E officer, preferably at the State level. Knowledge and experience in TB, Nikshay and child health programs will be an advantage and preferred Experience in developing data collection tools, primary data collection, data entry and data management activities and having analytical skills Sound computer skills, including use of Internet and MS Office™ software, basic / advance use of excel, software such as EpiInfo, Kobo tool box etc. Excellent oral and written communication skills in English and working knowledge of Regional language Willingness to travel 10 to 12 days a month to implementation geographies Ability to work independently and as a team player in a complex, multicultural environment Knowledge of qualitative research and process evaluation techniques will be an added advantage Please note that we will be able to communicate only with shortlisted candidates at every stage of selection process. Remuneration: Rs. 55,000/- (CTC) per month HOW TO APPLY? If you have the skills and necessary experience and are interested in this position please forward your application along with covering letter and detailed resume in the specified format downloaded from www.leprasociety.in (Get Involved – “career column”) to hrd@leprahealthinaction.in specifying the REF.NO & Post applied for on or before the due date. LEPRA Society is an equal opportunity employer. LEPRA Society’s management reserves the right to modify the contents of this position description at any time

World Change Starts with Educated Children ® 2025 is our 25th Anniversary! Join Us in Celebrating 25 Years of Progress All applicants must be legally eligible to work in the country where the position is located. Room to Read is not able to provide sponsorship. Position Overview: The Lead, Data Analyst and Evaluator shall be part of RM&E Unit will be based at New Delhi, India Country Office (INCO). The position will report to the Manager, INCO RM&E. He/she will play a key role in supporting to strengthen government-led monitoring and evaluation systems. The position is responsible for providing strategic and technical support to the state-level RM&E team members in strengthening data systems, assessments, and evidence-informed decision-making. Duties and Responsibilities: Provide strategic guidance to the state RM&E team in strengthening government-led monitoring systems, ensuring alignment with both organizational frameworks and evolving state priorities. Lead the refinement of program log frames, indicators, and results frameworks, ensuring coherence with state-level implementation strategies and broader organizational goals. Review and offer technical oversight on the design and implementation of government-led assessments, including support in tool development, sampling methodologies, and analytical frameworks. Review and provide quality assurance for monitoring tools, data sets, dashboards, and reports generated by the state RM&E team, ensuring relevance, accuracy, and utility for decision-making. Mentor and build the technical and analytical capacities of state RM&E team members, promoting a culture of continuous learning, critical reflection, and high-quality delivery. Lead efforts to ensure data quality through regular checks, validation exercises, and field support visits. Support the enhancement of existing government digital monitoring systems, dashboards, and real-time data visualization tools. Guide the planning and facilitation of review meetings, reflection sessions, and evidence-informed planning workshops. Closely collaborate with state program, operations, and technical teams to ensure that monitoring and evaluation efforts are grounded in implementation realities. Represent the RM&E function in strategic planning, review meetings, and support coordination with state- and district-level government counterparts, donors, and technical partners. Lead the consolidation, synthesis, and presentation of key RM&E findings to internal leadership, donors, and government partners, highlighting programmatic learnings and policy implications. Demonstrated ability to work both independently and in teams. Develop network with Research organizations and Government and support Government to meet their research and evaluation needs. Undertake additional responsibilities assigned by the Manager-RM&E, contributing to cross-functional initiatives and strategic priorities of the organization. Qualifications: Required: Postgraduate degree in Economics, Public Policy, Education, Development Studies, Statistics or related field. A minimum of eight years (08) of relevant experience in monitoring & evaluation, government system strengthening, and/or program implementation. Prior experience in Foundational Literacy and Numeracy (FLN) programs is highly desirable. Strong conceptual understanding and hands-on experience in data analysis, systems thinking, monitoring frameworks, and assessment design. Proven experience working with government departments, especially in the education sector, with a strong understanding of public education systems. Proficiency in tools such as MS Excel, Power BI, SurveyCTO; experience with statistical analysis tools like STATA, is an added advantage. Ability to manage complex data systems, draw insights from evidence, and translate findings into actionable recommendations for program and policy decisions. Strong writing, articulation, and documentation skills with the ability to produce high-quality reports, presentations, briefs, and knowledge products for diverse stakeholders. Ability to multitask effectively, manage multiple priorities and meet deadlines in a fast-paced environment. Strong verbal communication and presentation skills, with the ability to effectively convey complex information to both technical and non-technical audiences. Ability and desire to travel to field locations. Prior experience in a fast-paced, growth-oriented global or regional organization Proven track record of juggling multiple priorities simultaneously and taking initiatives. Compensation: Room to Read offers a competitive salary with excellent benefits. Benefits include thirteenth month bonus, health insurance and a retirement plan. The non-monetary compensation includes a unique opportunity to be part of an innovative, meaningful, and rapidly growing organization that is changing transforming the lives of millions of children in developing countries on literacy and gender equality in education. Room to Read is a child-safe organization. Room to Read is a child-safe organization. Room to Read's Core Values C - Collaboration A - Action R - Respect E - Education S - Scale About Room to Read: Founded in 2000 on the belief that World Change Starts with Educated Children®, Room to Read envisions a world free from illiteracy and gender inequality, where all children have room to read, learn and grow – creating lasting change . Our Literacy Portfolio trains and coaches teachers of the early grades in literacy instruction; creates and publishes quality books and curricular materials in local languages; and establishes children’s libraries filled with diverse children’s books that can be enjoyed at school and home. Our Gender Equality Portfolio supports adolescents, particularly girls, in developing life skills that promote gender equality, helping them to pursue lifelong learning and make informed decisions. We support young people of all genders to overcome gender biases and build the knowledge and skills to create a gender-equal world. Room to Read collaborates with local communities, partner organizations, publishers, and governments to test and implement innovative models that can be integrated into the education system to deliver positive outcomes for children at scale. To date, Room to Read has benefited more than 50 million children in 28 countries. Learn more at www.roomtoread.org .

POSITION TITLE: Monitoring, Evaluation and Learning (MEL) Manager, EpiC India REPORTS TO: Team Leaders/Sr. Technical Advisor-HIV, EpiC India LOCATION: New Delhi, India DURATION: Till December 2025 (extendable subject to funding availability) About FHI 360 FHI 360 is a nonprofit human development organization dedicated to improving lives in lasting ways by advancing integrated, locally driven solutions. FHI 360’s technical areas encompass a range of public health priorities, including HIV and AIDS; family planning and reproductive health; maternal and child health; health systems strengthening; integrated health and development; and infectious diseases, including tuberculosis and malaria, and more recently COVID-19 and Mpox. For more information, visit: https://www.fhi360.org . Background (EpiC Project) Meeting Targets and Achieving Epidemic Control (EpiC) is a global project funded by the U.S. President’s Emergency Plan for AIDS Relief (PEPFAR) that provides strategic technical assistance and direct service delivery to achieve HIV epidemic control among at-risk populations and strengthen global health security. EpiC has been operational in India since 2021 and had been focusing on organizational capacity strengthening of community-based organizations (CBOs) working with vulnerable and at-risk populations in the states of Maharashtra and Telangana, and national level networks. Additionally, EpiC has been supporting lifesaving activities for people living with HIV (PLHIV) by addressing non-communicable disease (NCD) screening and management among adult/aging PLHIV clients; and enhancing engagement of young people living with HIV (YLHIV) for index testing and promotion of early initiation and retention on treatment, and responsible living through U=U messaging. In the light of the Executive Order issued by the Trump administration in January 2025, the EpiC India workplan for fiscal year 2025 is being revised to support implementation of lifesaving activities that align to the guidance issued by The Bureau of Global Health Security and Diplomacy (GHSD). In the PEPFAR supported geography of Maharashtra, EpiC is to: Accelerate early HIV case finding among hidden and unreached at-risk populations in community and facility settings to meet the 1st 95 goals. Support lifesaving care and treatment linkages through early linkage and retention on treatment, viral suppression to meet the 2nd and 3rd 95 goals. Address co-morbidities including mitigation of advanced HIV disease (AHD), tuberculosis (TB), opportunistic infections (OIs) and NCDs among adult PLHIV. Job Summary FHI 360 is seeking applications from qualified and experienced candidates to fill a new position of Monitoring, Evaluation and Learning (MEL) Manager for EpiC India. The incumbent is to be based at the FHI 360 Country Office in New Delhi and will be responsible for all strategic information (SI) responsibilities related to the project, including all monitoring, evaluation, analytics, reporting and documentation of performance and results. The MEL Manager will work closely with the project leadership, state and district level program and SI team members of EpiC and sub-grantee partners, to enhance or develop systems across sites and technical/thematic areas to support monitoring of service delivery and performance in real-time to improve service quality and impact and to meet reporting requirements. S/he will work across technical teams to provide consistent guidance and training on appropriate results frameworks and knowledge management practices for the project and its strategies. The MEL Manager will systematically strengthen the alignment of program strategies and activities to lessons learned from program data and client experiences. Job Responsibilities: Set-up / enhance the MEL and performance reporting system for the EpiC project, which will include working with the program team and sub-grantees to collect, analyze, monitor and report on performance of HIV services and activities. Develop tools and formats for data collection, analysis, interpretation and reporting in line with USAID’s latest MER indicators. Support the program team in defining the M&E roles of sub-grantees, reporting frequency, review mechanisms and set-up standardized monitoring mechanisms. Routinely support capacity building of EpiC and sub-grantee staff on M&E and ensure that the teams are oriented on the latest MER indicators and NACO/SACS M&E guidance and confidentiality norms. Review M&E data and reports from the field and ensure their accuracy and appropriateness by analyzing and interpreting the data, and support in data triangulation, visualization to track and monitor progress against targets. Facilitate routine quality checks and validation of sub-grantee/s data and provide feedback to the field staff based on the quality checks and validation exercise. Ensure adherence to quarterly data quality audits as required by donor/EpiC HQ. Ensure that supporting documentation is maintained for all data that is reported to FHI 360 HQ, USAID/PEPFAR, NACO, SACS and DAPCU and entered timely in DATIM. Support the EpiC program team in compilation of the monthly, quarterly and semi-annual progress reports and Plan of Action for Results Tracking (POART) slides and other ad hoc reporting requests. Liaise with relevant technical advisers and counterparts responsible for strategic information (SI) and M&E at EpiC HQ, and support coordination for country-level assistance as needed. Strengthen knowledge management deliverables for the project including documentation of case studies, success stories and other reports. Minimum Qualifications: Master’s degree or higher in epidemiology, M&E, demography, biostatistics, statistics, analytics, public health or other relevant discipline. Minimum 8 year experience on designing, establishing, and managing M&E systems, ensuring data quality, and analyzing data to support performance improvement of programs. Experience of working on M&E system for HIV programs is essential. Previous experience working with USAID or PEPFAR supported program is preferable. Demonstrated expertise in data analysis, managing online databases to ensure easy access to data and data reports, experience in Tableau or Power BI preferred. Demonstrated ability to perform complex data analytics utilizing Microsoft Excel, STATA, Epi Info; and/or software. Demonstrated ability to perform complex data analyses and make recommendations based on findings. Demonstrated working knowledge of the Indian health and social service information systems and M&E processes as it relates to data collection for performance-based reporting. Fluency in interpersonal, writing and oral presentation skills in English. The position will be based in New Delhi, India and work out of the FHI 360 Country office and is open for Indian national candidates only. This job description summarizes the main duties of the job. It neither prescribes nor restricts the exact tasks that may be assigned to carry out these duties. This document should not be construed in any way to represent a contract of employment. Management reserves the right to review and revise this document at any time. Suitably qualified candidates openly living with HIV are also actively encouraged to apply. Compensation: Compensation levels at FHI 360 are equivalent to market rates within the development sector. However, offers shall be based on salary history, relevant experience, and qualifications. Please send your resumes to hrindia@fhi360.org. It is necessary to mention the post title in the subject line while applying. Only short-listed candidates will be notified. No calls/ emails will be entertained. This job posting summarizes the main duties of the job. It neither prescribes nor restricts the exact tasks that may be assigned to carry out these duties. This document should not be construed in any way to represent a contract of employment. Management reserves the right to review and revise this document at any time. FHI 360 is an equal opportunity and affirmative action employer whereby we do not engage in practices that discriminate against any person employed or seeking employment based on race, color, religion, sex, sexual orientation, gender identity, national or ethnic origin, age, marital status, physical or mental disability, protected Veteran status, or any other characteristic protected under applicable law. Our values and commitments to safeguarding: FHI 360 is committed to preventing any type of abuse, exploitation and harassment in our work environments and programs, including sexual abuse, exploitation and harassment. FHI 360 takes steps to safeguard the welfare of everyone who engages with our organization and programs and requires that all personnel, including staff members and volunteers, share this commitment and sign our code of conduct. All offers of employment will be subject to appropriate screening checks, including reference, criminal record and terrorism finance checks. FHI 360 also participates in the Inter-Agency Misconduct Disclosure Scheme (MDS), facilitated by the Steering Committee for Humanitarian Response. In line with the MDS, we will request information from job applicants’ previous employers about any substantiated findings of sexual abuse, exploitation and/or harassment during the applicant’s tenure with previous employers. By applying, job applicants confirm their understanding of these recruitment procedures and consent to these screening checks. FHI 360 will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws. FHI 360 will never ask you for your career site username or password, and we will never request money, goods or services during the application, recruitment or employment process. If you have questions or concerns about correspondence from us, please email CareerCenterSupport@fhi360.org . FHI 360 fosters the strength and health of its workforce through a competitive benefits package , professional development and policies and programs that support a healthy work/life balance. Join our global workforce to make a positive difference for others — and yourself.

Data Scientist, Product - Data Solutions Gurgaon, India Information Technology 304894 Job Description About The Role: Grade Level (for internal use): 08 The Team: You will become a member of the Data Solutions group. We provide solutions to all stakeholders across multiple products. Our key clients are the Tier-1 Custodians, Asset Managers and Investment Banks. We see growth in providing solutions to asset managers, wealth managers and other stake holders in the capital markets space. The Impact: You will be part of a team that develops innovative solutions, derives actionable insights from data, which helps drive the client engagement and business. The candidate would be a critical part of data science and automation projects which will add value and propel the analysis and research of this critical team. The solutions you will work on will enhance the existing products and provide actionable intelligence to our clients. What’s in it for you: Exposure to latest technologies in the space of data analytics & science, Gen AI. Develop data and analytical skills. Opportunities to work on cross-team initiatives and collaborative projects. What you will work on: Automate processes and workflows using Python Develop and optimize natural language processing (NLP/NLG) models. Derive value and insights from large datasets to enable business decisions and strategy. Collaborate with cross-functional teams to integrate NLP/LLM solutions into existing products. Handle large amounts of data from multiple and disparate sources. Analyze the data and the results to ensure data quality, statistical relevance, etc. with a critical mindset. Establish necessary business and domain knowledge to correctly interpret data and results. Bring analytical rigor and statistical methods to the challenges of measuring data quality, product performance, anticipating and interpreting the behavior of end-user. Who you are: Hands on project lifecycle experience, from business analysis to productization Strong programming skills in Python including experience with libraries such as TensorFlow, PyTorch and Hugging Face transformers. Proven experience in developing NLP/NLG models Deep understanding of machine learning principles and NLP techniques Experience working with large language models (LLMs) like GPT, BERT etc Familiarity with cloud platforms (like AWS) for model deployment and scaling Experience with data extraction with SQL etc. Able to translate business problems into problems that can be solved with Data Science Ability to communicate ideas and analysis results effectively both verbally and in writing to a non-technical audience. Bachelor of Science or certified in a quantitative discipline (e.g., Computer Science, Data Science, Statistics, etc.) 4-5 years of professional experience in Advanced Analytics / Data Science / Machine Learning preferably in Finance and/or Reference Data space. About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction. For more information, visit www.spglobal.com/marketintelligence. What’s In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. - Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf - 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH203 - Entry Professional (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 304894 Posted On: 2025-06-17 Location: Gurgaon, Haryana, India

202503448 Thane, Maharashtra, India Bevorzugt Description Primary responsibilities include the following: Processing the monthly cash reconciliations received from the onshore team. Processing monthly / quarterly cash flows in the prescribed format or as advised by the Onshore Team. Processing of year-end accounts. This entails the following processes: Creating an opening trial balance using the Onshore Team’s signed financial accounts copy and entering them into the extended trial balance. Entering the onshore team cashbook into the extended trial balance to record the cash movements into the year-end trial balance. Preparing schedules for the fund accounts. Analyzing the investment reports into managed funds, segregated investments, derivatives, pooled investment vehicles, etc. Ensuring the unit reconciliation and market value reconciliation vis-a-vis book cost reconciliation. Ensuring that the investment schedules are prepared per the pension guidelines i.e. under SORP regulation. Preparing the Annual Reports in the accounting software prescribed by the onshore team Processing the Accounting For Tax returns and Office for National Statistics returns Updating the databases for all jobs on a regular basis. Sending queries and follow up of queries related to cash reconciliations, cash flows, management accounts, year-ends and quarterly returns Adherence to Onshore Team deadlines and the utilization requirements. Coordinating with the Onshore Teams on calls and emails with regards to the missing information and queries. Any other additional responsibility to commensurate with project requirements. Key activities in the job include: Helping / assisting other team members & seniors in completing / meeting deadlines after finishing self-tasks. Adhering to any compliance and governance requirements of the organization Qualifications B. Com / BAF / M. Com Technical Skills Journal Entries Bank Reconciliation Ledger Posting Ledger Scrutiny Basic accounting skills Finalisation of accounts Booking closing entries – (Accruals / Prepayments, etc.) Preparing Trading, P & L A/C and Balance Sheet. Technicalities of Investment Analysis and/or mutual fund concepts Understanding of UK Pension regulations (not mandatory) Good verbal and written communication skills Good working knowledge of the Microsoft office, particularly Word & Excel Attention to detail is vital to succeed in this role Energetic, enthusiastic individuals Logical thinking skillset is a must Ability to learn new processes and systems, also should have the ability to adapt to changes Ability to prioritise and organise tasks, work within stiff timelines Ability to work independently and as part of a team. Able to get on with others; be a team-player Ability to work under pressure, do multi-tasking and meet tight deadlines. Should be a quick learner and team player. Willing to work in rotational shifts

Senior Applied Scientist Bangalore, Karnataka, India Date posted Jun 17, 2025 Job number 1832605 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 Microsoft Teams is the hub for teamwork that integrates all the people, content, and tools your team needs to be more engaged and effective. It is core to Microsoft’s modern work, modern life & modern education value prop. We are reinventing the way people communicate and work together across the globe. We own the infrastructure that enables complex orchestration of Copilot workflows to put powerful AI capabilities at the user’s fingertips. AI is now going through a transformational change with the advent for LLMs, we need an individual who has expertise in working with Large Language models (LLMs) who has designed scalable systems using LLMs. As a Senior Applied Scientist you will need to design and build systems that allow LLMs to reason over large amounts of data as well as leveraging lighter weight models in place for specific scenarios for specific scenarios. We are looking for an individual who has the proven capability of working with research teams and partnering with them to deliver joint solutions. This can range from working together to build fine-tuned models to coming up with ways to build custom LLMs for specific product needs. We are excited to hear from candidates who are passionate about making a significant impact on how people interact with their computers in the last 30 years, and who are excited about the opportunity to be at the forefront of growing new business for Microsoft. This is a rare chance to be part of a cutting-edge technology that is poised to revolutionize productivity and innovation. 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 4+ 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 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. 4+ years of experience with design, implementation, debugging and testing of complex distributed services. 3+ years of experience shipping products through more than one development cycle. 3+ years of experience working on Machine Learning models specifically with Natural language-based models, vector databases and graph databases. Demonstrated experience working with Large Language Models and prompt engineering. Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements 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 6+ 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. 3+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers). 6+ years of experience in machine learning. 3+ years using ML tools like Pytorch and TensorFlow. Practical experience developing applications using prompt engineering, fine tuning, Open AI or Azure Open AI APIs. System development skills, with a long-range system view that leverages development ranging from rapid research prototypes to carefully architected complex systems. Responsibilities Conduct applied science experiments, create and validate metrics, develop ML pipeline and modeling algorithm in the area of Large Language Models, Natural Language Processing, Information Retrieval, and Machine Learning. Develop and deploy conversational and language understanding models at scale. Follow and advance best practices for Responsible AI and Privacy Preserving Machine Learning. Collaborate closely with Microsoft Research, Microsoft AI groups, Microsoft Azure, AI platform teams, and product teams to create the next generation of AI innovation in our products and services. Embody our culture and values. 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.

Bangalore,Karnataka,India Job ID 763721 Join our Team Ericsson Enterprise Wireless Solutions (BEWS) is responsible for driving Ericsson’s Enterprise Networking and Security business. Our expanding product portfolio covers wide area networks, local area networks, and enterprise security. We are the #1 global market leader in Wireless-WAN enterprise connectivity and are rapidly growing in enterprise Private 5G networks and Secure Access Services Edge (SASE) solutions . Key Responsibilities Define and implement model validation processes and business success criteria in data science terms . Contribute to the architecture and data flow for machine learning models. Rapidly develop and iterate minimum viable solutions (MVS) that address enterprise needs. Conduct advanced data analysis and rigorous testing to enhance model accuracy and performance. Work with Data Architects to leverage existing data models and create new ones as required. Collaborate with product teams and business partners to industrialize machine learning models into Ericsson’s enterprise solutions . Build MLOps pipelines for continuous integration, continuous delivery, validation, and monitoring of AI/ML models. Design and implement effective big data storage and retrieval strategies (indexing, partitioning, etc.). Develop and maintain APIs for AI/ML models and optimize data pipelines. Lead end-to-end ML projects from conception to deployment. Stay updated on the latest ML advancements and apply best practices to enterprise AI solutions . Required Skills & Experience 4–6 years of hands-on experience in machine learning, AI, and data science . Strong knowledge of ML frameworks (Keras, TensorFlow, Spark ML, etc.). Proficiency in ML algorithms, deep learning, reinforcement learning (RL), and large language models (LLMs) . Expertise in MLOps , including model lifecycle management and monitoring. Experience with containerization & orchestration (Docker, Kubernetes, Helm charts). Hands-on expertise with workflow orchestration tools (Kubeflow, Airflow, Argo). Strong programming skills in Python and experience with C++, Scala, Java, R . Experience in API design & development for AI/ML models . Hands-on knowledge of Terraform for infrastructure automation. Familiarity with AWS services (Data Lake, Athena, SageMaker, OpenSearch, DynamoDB, Redshift). Strong understanding of self-hosted deployment of LLMs on AWS . Experience in RASA, LangChain, LangGraph, LlamaIndex, Django, Open Policy Agent . Working knowledge of vector databases, knowledge graphs, retrieval-augmented generation (RAG), agents, and agentic mesh architectures . Expertise in monitoring tools like Datadog for K8S environments. Ability to document, present , and communicate technical findings to business stakeholders . Proven ability to contribute to ML forums, patents, and research publications . Educational Qualifications B.Tech/B.E. in Computer Science , MCA, or a Master’s in Mathematics/Statistics from a top-tier institute . Join Ericsson and be part of a cutting-edge team that is revolutionizing enterprise AI, 5G, and security solutions . to shape the future of wireless connectivity! Why join Ericsson? At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply?

Job Description: Mobility Core and Network Services (MCANS) team is part of the Network CTO organization that oversees the global mobile and fixed network technology direction for AT&T, which includes the design of the company’s 5G and IMS infrastructure. This team is responsible for the architecture, design, certification, testing and delivery of advanced Mobility Core network functions and Network Services applications, including for IP multimedia systems and packet data, which are the future of Mobility services and experiences. The team contributes to the growth and development of end-to-end wireless network services across Consumer, Enterprise, Internet of Things (IOT), FirstNet and public sector products. This position is part of a team that collaborates with client project teams in the development of Mobility Cloud platform delivery, CI/CD workflow automation. This is a very dynamic and exciting role that will allow for exposure to emerging mobility, virtualization, cloud technologies, and customer premise equipment! We are seeking candidates who are eager to learn and grow their skills as part of a diverse, talented, and energetic group of professionals working in the areas of voice over IP, cloud computing, data analytics, software development and technology delivery. REQUIRED SKILLS/QUALFICATIONS Voice over IP Experienced with VoIP Standards and fundamentals Experienced with VoIP protocols (SIP, Diameter, HTTPS) Experienced with VoIP Call Flow Design and Certification Experience with common access methods (RAN, BroadBand) Cloud Computing Deep understanding of virtualization, containerization, and Infrastructure as Code (IaC) concepts Skilled in various cloud platforms, e.g., Nokia Cloudband, Redhat OpenShift (OCP), Microsoft Azure Skilled in programming skills in a language like Python, JavaScript, or Java Good knowledge of networking concepts Test planning and execution Data Analytics Experienced with programming languages like Linux Shell, Python for data manipulation and analysis Good experience in Alarm treatment, analysis, and ticket generation Experienced with SQL and relational databases Understanding of data visualization and statistics Software Development & Delivery Deep understanding of Docker, OpenStack, and Kubernetes Experienced Continuous Integration/Continuous Deployment (CI/CD) Familiarity with Azure and ADO concepts Administrator level expertise in Linux Experienced in Ansible and Python scripting Experienced in YAML and JSON file types and their usage Basic familiarity of GO language and GIT EDUCATION REQUIREMENT Bachelor's Degree in a STEM discipline e.g. Computer Science, or Engineering. PREFERRED QUALIFICATIONS Telecom Industry (not mandatory but a plus): Basic understanding of telecommunications, network architecture, and wireless communication protocols. Exposure to network analysis and telecom-specific data sources. Familiarity with geospatial analysis, IoT, edge computing, and security and privacy concepts in the telecom industry. Artificial Intelligence/Machine Learning (not mandatory but a plus): Awareness of machine learning frameworks and concepts. Basic understanding of mathematics relevant to AI/ML. Familiarity with data preprocessing and model evaluation Weekly Hours: 40 Time Type: Regular Location: Bangalore, Karnataka, India It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made. Job ID R-58283 Date posted 06/17/2025 Benefits Your needs? Met. Your wants? Considered. Take a look at our comprehensive benefits. Paid Time Off Tuition Assistance Insurance Options Discounts Training & Development

Job details Employment Type: Full-Time Location: Pune, Maharashtra, India Job Category: Information Systems Job Number: WD30237251 Job Description Job Title: Data Analyst Location: Pune, India Experience: 1-3 years Job Description: Johnson Controls is seeking a detail-oriented Data Analyst with 1 to 3 years of experience to join our analytics team in Pune. The successful candidate will be responsible for collecting, analyzing, and interpreting data to support decision-making processes and drive business improvements. What You Will Do: Gather and process data from various sources to support business analysis and reporting. Utilize statistical techniques to analyze data and identify trends, patterns, and anomalies. Create and maintain dashboards and reports to facilitate data-driven decision-making. Collaborate with cross-functional teams to understand business requirements and deliver actionable insights. Assist in the development and implementation of data collection systems and other strategies to optimize statistical efficiency and data quality. Perform ad-hoc analyses to identify opportunities for process improvement. What We Look For: Required: Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field. 1-3 years of experience in data analysis or a related role. Strong proficiency in SQL and experience with data analysis tools (e.g., Excel, Python, R). Familiarity with data visualization tools (e.g., Power BI, Tableau). Excellent analytical and problem-solving skills, with a keen attention to detail. Strong communication skills to present findings to stakeholders effectively. Preferred: Experience working in a fast-paced environment and ability to manage multiple tasks. Knowledge of machine learning techniques is a plus. Ability to work collaboratively within a team and across departments. Who We Are: At Johnson Controls, we are committed to driving innovation and sustainability in building technology. Join us to be part of a global team that is dedicated to creating a safer, smarter, and more connected world.

Job Information Date Opened 06/17/2025 Industry AEC Job Type Permanent Work Experience 1 - 3 Years City Mumbai State/Province Maharashtra Country India Zip/Postal Code 400093 About Us Axium Global (formerly XS CAD), established in 2002, is a UK-based MEP (M&E) and architectural design and BIM Information Technology Enabled Services (ITES) provider with an ISO 9001:2015 and ISO 27001:2022 certified Global Delivery Centre in Mumbai, India. With additional presence in the USA, Australia and UAE, our global reach allows us to provide services to customers with the added benefit of local knowledge and expertise. Axium Global is established as one of the leading pre-construction planning services companies in the UK and India, serving the building services (MEP), retail, homebuilder, architectural and construction sectors with high-quality MEP engineering design and BIM solutions. Job Description We are looking for a motivated and analytical Data Scientist with 2–4 years of experience to join our growing data team. The ideal candidate should be comfortable working with large datasets, building predictive models and generating actionable insights. Experience or familiarity with the AEC industry is a strong plus, as the role involves working on data generated from engineering, construction and design workflows. As a Data Scientist, you will play a key role in turning raw data into insights that support strategic decision-making. You will collaborate with cross-functional teams including software developers and domain experts. Your analytical models and tools will help enhance project performance, reduce risk and drive operational efficiency. Key Roles and Responsibilities: Analyze large datasets to identify trends, patterns and actionable insights Design and implement machine learning and neural network models for predictions, classifications and clustering Collaborate with AEC domain teams to understand data requirements and propose technical solutions Clean, transform, and validate data using SQL, Python Support automation of machine learning (ML) workflows and model reporting pipelines Document data science processes and results for transparency and reproducibility Create dashboards and visualizations using tools like Power BI, Tableau or Plotly Qualifications and Experience Required: BE/BTech/MTech degree in computer science, Data Science, Engineering, Statistics or a related field 2–4 years of hands-on experience in a Data Science or related role Strong programming skills in Python, and proficiency with SQL Experience with data science libraries (e.g pytorch, scikit-learn, pandas, NumPy, TensorFlow, XGBoost) Clarity with the concepts of Object-Oriented Programming (OOPs) Good understanding of statistics, machine learning techniques and data modeling Experience with data visualization tools such as Power BI, Tableau or Matplotlib Familiarity with the AEC industry and tools like Revit, Navisworks, BIM 360 or project scheduling data is a plus Strong communication skills and ability to present data findings to non-technical stakeholders Compensation: The selected candidate will receive competitive compensation and remuneration policies in line with qualifications and experience. Compensation will not be a constraint for the right candidate. What We Offer: A fulfilling working environment that is respectful and ethical A stable and progressive career opportunity State-of-the-art office infrastructure with the latest hardware and software for professional growth In-house, internationally certified training division and innovation team focusing on training and learning the latest tools and trends. Culture of discussing and implementing a planned career growth path with team leaders Transparent fixed and variable compensation policies based on team and individual performances, ensuring a productive association.