About Us Paytm is India’s leading digital payments and financial services company, which is focused on driving consumers and merchants to its platform by offering them a variety of payment use cases. Paytm provides consumers with services like utility payments and money transfers, while empowering them to pay via Paytm Payment Instruments (PPI) like Paytm Wallet, Paytm UPI, Paytm Payments Bank Netbanking, Paytm FASTag and Paytm Postpaid - Buy Now, Pay Later. To merchants, Paytm offers acquiring devices like Soundbox, EDC, QR and Payment Gateway where payment aggregation is done through PPI and also other banks’ financial instruments. To further enhance merchants’ business, Paytm offers merchants commerce services through advertising and Paytm Mini app store. Operating on this platform leverage, the company then offers credit services such as merchant loans, personal loans and BNPL, sourced by its financial partners. About the Team QR/Soundbox team is one of the biggest business and payments vertical in the organisation that is focused on merchant acquisition, merchant retention and growth of merchants in India. About the Role We are looking for a strategic and execution-oriented Go-To-Market (GTM) Lead to own and drive the successful launch, scaling, and optimization of our products and services. The GTM Lead will collaborate cross-functionally with product, marketing, sales, operations, and customer success teams to build and execute high-impact go-to-market strategies. Expectations/ : 1. GTM Strategy & Planning 2. Develop and own comprehensive GTM strategies for new product launches and feature rollouts. 3.Identify target markets, customer segments, pricing, positioning, and competitive differentiation. 4.Cross-functional Alignment 5.Serve as the central point of coordination across Product, Marketing, Sales, and Customer Success. 6.Drive consensus on GTM plans, timelines, and execution priorities. 7.Sales Enablement 8.Equip the sales team with effective positioning, messaging, battle cards, and training materials. 9.Support demand generation, pipeline acceleration, and account-based strategies. 10.Product Launch & Execution 11.Lead product release planning, customer rollout strategies, and feedback loops. 12.Measure GTM performance metrics (adoption, revenue, churn) and iterate accordingly. 13.Market Intelligence 14.Conduct competitive analysis and market research to guide GTM approaches. 15.Identify opportunities for product-market fit expansion or repositioning. Superpowers / Skills Required: 1. 5-10 years of experience in GTM strategy & marketing. Attention to detail and passion for problem solving. 2. Must be highly proficient with MS Excel, SQL and other statistical tools. 3. Capable of demonstrating good business judgment. EducationMBA (Marketing) Why join us: We aim at bringing half a billion Indians into the mainstream economy, and everyone working here is striving to achieve that goal. Our success is rooted in our people’s collective energy and unwavering focus on the customers, and that’s how it will always be. We are the largest merchant acquirer in India Compensation: If you are the right fit, we believe in creating wealth for you. With enviable 500 mn+ registered users, 21 mn+ merchants and depth of data in our ecosystem, we are in a unique position to democratize credit for deserving consumers & merchants – and we are committed to it. India’s largest digital lending story is brewing here. It’s your opportunity to be a part of the story!

About Us Paytm is India’s leading digital payments and financial services company, which is focused on driving consumers and merchants to its platform by offering them a variety of payment use cases. Paytm provides consumers with services like utility payments and money transfers, while empowering them to pay via Paytm Payment Instruments (PPI) like Paytm Wallet, Paytm UPI, Paytm Payments Bank Netbanking, Paytm FASTag and Paytm Postpaid - Buy Now, Pay Later. To merchants, Paytm offers acquiring devices like Soundbox, EDC, QR and Payment Gateway where payment aggregation is done through PPI and also other banks’ financial instruments. To further enhance merchants’ business, Paytm offers merchants commerce services through advertising and Paytm Mini app store. Operating on this platform leverage, the company then offers credit services such as merchant loans, personal loans and BNPL, sourced by its financial partners. About the Team QR/Soundbox team is one of the biggest business and payments vertical in the organisation that is focused on merchant acquisition, merchant retention and growth of merchants in India. About the Role We are looking for a strategic and execution-oriented Go-To-Market (GTM) Lead to own and drive the successful launch, scaling, and optimization of our products and services. The GTM Lead will collaborate cross-functionally with product, marketing, sales, operations, and customer success teams to build and execute high-impact go-to-market strategies. Expectations/ : 1. GTM Strategy & Planning 2. Develop and own comprehensive GTM strategies for new product launches and feature rollouts. 3.Identify target markets, customer segments, pricing, positioning, and competitive differentiation. 4.Cross-functional Alignment 5.Serve as the central point of coordination across Product, Marketing, Sales, and Customer Success. 6.Drive consensus on GTM plans, timelines, and execution priorities. 7.Sales Enablement 8.Equip the sales team with effective positioning, messaging, battle cards, and training materials. 9.Support demand generation, pipeline acceleration, and account-based strategies. 10.Product Launch & Execution 11.Lead product release planning, customer rollout strategies, and feedback loops. 12.Measure GTM performance metrics (adoption, revenue, churn) and iterate accordingly. 13.Market Intelligence 14.Conduct competitive analysis and market research to guide GTM approaches. 15.Identify opportunities for product-market fit expansion or repositioning. Superpowers / Skills Required: 1. 5-10 years of experience in GTM strategy & marketing. Attention to detail and passion for problem solving. 2. Must be highly proficient with MS Excel, SQL and other statistical tools. 3. Capable of demonstrating good business judgment. EducationMBA (Marketing) Why join us: We aim at bringing half a billion Indians into the mainstream economy, and everyone working here is striving to achieve that goal. Our success is rooted in our people’s collective energy and unwavering focus on the customers, and that’s how it will always be. We are the largest merchant acquirer in India Compensation: If you are the right fit, we believe in creating wealth for you. With enviable 500 mn+ registered users, 21 mn+ merchants and depth of data in our ecosystem, we are in a unique position to democratize credit for deserving consumers & merchants – and we are committed to it. India’s largest digital lending story is brewing here. It’s your opportunity to be a part of the story!

About Us Paytm is India’s leading digital payments and financial services company, which is focused on driving consumers and merchants to its platform by offering them a variety of payment use cases. Paytm provides consumers with services like utility payments and money transfers, while empowering them to pay via Paytm Payment Instruments (PPI) like Paytm Wallet, Paytm UPI, Paytm Payments Bank Netbanking, Paytm FASTag and Paytm Postpaid - Buy Now, Pay Later. To merchants, Paytm offers acquiring devices like Soundbox, EDC, QR and Payment Gateway where payment aggregation is done through PPI and also other banks’ financial instruments. To further enhance merchants’ business, Paytm offers merchants commerce services through advertising and Paytm Mini app store. Operating on this platform leverage, the company then offers credit services such as merchant loans, personal loans and BNPL, sourced by its financial partners. About the Team QR/Soundbox team is one of the biggest business and payments vertical in the organisation that is focused on merchant acquisition, merchant retention and growth of merchants in India. About the Role We are looking for a strategic and execution-oriented Go-To-Market (GTM) Lead to own and drive the successful launch, scaling, and optimization of our products and services. The GTM Lead will collaborate cross-functionally with product, marketing, sales, operations, and customer success teams to build and execute high-impact go-to-market strategies. Expectations/ : 1. GTM Strategy & Planning 2. Develop and own comprehensive GTM strategies for new product launches and feature rollouts. 3.Identify target markets, customer segments, pricing, positioning, and competitive differentiation. 4.Cross-functional Alignment 5.Serve as the central point of coordination across Product, Marketing, Sales, and Customer Success. 6.Drive consensus on GTM plans, timelines, and execution priorities. 7.Sales Enablement 8.Equip the sales team with effective positioning, messaging, battle cards, and training materials. 9.Support demand generation, pipeline acceleration, and account-based strategies. 10.Product Launch & Execution 11.Lead product release planning, customer rollout strategies, and feedback loops. 12.Measure GTM performance metrics (adoption, revenue, churn) and iterate accordingly. 13.Market Intelligence 14.Conduct competitive analysis and market research to guide GTM approaches. 15.Identify opportunities for product-market fit expansion or repositioning. Superpowers / Skills Required: 1. 5-10 years of experience in GTM strategy & marketing. Attention to detail and passion for problem solving. 2. Must be highly proficient with MS Excel, SQL and other statistical tools. 3. Capable of demonstrating good business judgment. EducationMBA (Marketing) Why join us: We aim at bringing half a billion Indians into the mainstream economy, and everyone working here is striving to achieve that goal. Our success is rooted in our people’s collective energy and unwavering focus on the customers, and that’s how it will always be. We are the largest merchant acquirer in India Compensation: If you are the right fit, we believe in creating wealth for you. With enviable 500 mn+ registered users, 21 mn+ merchants and depth of data in our ecosystem, we are in a unique position to democratize credit for deserving consumers & merchants – and we are committed to it. India’s largest digital lending story is brewing here. It’s your opportunity to be a part of the story!

About Paytm Group: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. Our Story: Join the Recharges & Bill Payments Product team at Paytm, which touches millions of users daily across 26+ categories, including Mobile Recharges, Electricity Bills, DTH, Credit Card Bills, and FASTag. As a team, we operate at the intersection of scale, reliability, and innovation, constantly reimagining how India pays its bills. You'll be part of a fast-paced, data-driven environment with end-to-end ownership, where every experiment and product improvement directly impacts user experience for millions. If you're excited about solving complex problems at scale and building for Bharat, this is the place for you. About the Role: Product Analyst focuses on data, statistical analysis and reporting to help investigate and analyze business performance, provide insights, and drive recommendations to improve performance. Expectations/ : - Derive business insights from data with a focus on driving business-level metrics. - Ability to interact and convince business stakeholders. - Developing insightful analysis about business and their strategic and operational implications. - Partner with stakeholders at all levels to establish current and ongoing data support and reporting needs. - Analyze data from multiple angles, looking for trends that highlight areas of concern or opportunities. - Design, create, and deliver data reports, dashboards, extract and/or deliver presentations to address strategic questions. - Identifying data needs and driving data quality improvement projects. Key Skills Required: - Ideally, have 2-5 years of experience working on data analytics and business intelligence. Candidates from b2c consumer internet product companies are preferred. - Proven work experience on MS Excel, Google Analytics, SQL, Data Studio, any BI Tool, business analyst or similar role. - Should be comfortable working in a fast-changing environment and ambiguous. - Critical thinking and very detail-oriented. - In-depth understanding of datasets, data, and business understanding. - Capable of demonstrating good business judgement. Education: Applicants must have an engineering academic background with specialization in data science. Why join us: We aim to bring half a billion Indians into the mainstream economy, and everyone working here is striving to achieve that goal. Our success is rooted in our people’s collective energy and unwavering focus on the customers, and that’s how it will always be. We are the largest merchant acquirer in India Compensation: If you are the right fit, we believe in creating wealth for you. With enviable 500 mn+ registered users, 21 mn+ merchants, and depth of data in our ecosystem, we are in a unique position to democratize credit for deserving consumers & merchants – and we are committed to it. India’s largest digital lending story is brewing here. It is your opportunity to be a part of the story!

About the Team QR/Soundbox team is one of the biggest business and payments vertical in the organisation that is focused on merchant acquisition, merchant retention and growth of merchants in India. About the Role We are looking for a strategic and execution-oriented Go-To-Market (GTM) Lead to own and drive the successful launch, scaling, and optimization of our products and services. The GTM Lead will collaborate cross-functionally with product, marketing, sales, operations, and customer success teams to build and execute high-impact go-to-market strategies. Expectations/ : 1. GTM Strategy & Planning 2. Develop and own comprehensive GTM strategies for new product launches and feature rollouts. 3.Identify target markets, customer segments, pricing, positioning, and competitive differentiation. 4.Cross-functional Alignment 5.Serve as the central point of coordination across Product, Marketing, Sales, and Customer Success. 6.Drive consensus on GTM plans, timelines, and execution priorities. 7.Sales Enablement 8.Equip the sales team with effective positioning, messaging, battle cards, and training materials. 9.Support demand generation, pipeline acceleration, and account-based strategies. 10.Product Launch & Execution 11.Lead product release planning, customer rollout strategies, and feedback loops. 12.Measure GTM performance metrics (adoption, revenue, churn) and iterate accordingly. 13.Market Intelligence 14.Conduct competitive analysis and market research to guide GTM approaches. 15.Identify opportunities for product-market fit expansion or repositioning. Superpowers / Skills Required: 1. 5-10 years of experience in GTM strategy & marketing. Attention to detail and passion for problem solving. 2. Must be highly proficient with MS Excel, SQL and other statistical tools. 3. Capable of demonstrating good business judgment. EducationMBA (Marketing)

What you will do Lets do this. Lets change the world. In this vital role you will Provide technical solutions to programming problems within CfOR Lead and develop technical programming and process improvement initiatives within CfOR Design data quality enhancements Represent the programming function and participate in multidisciplinary project team meetings Project manage all programming activities, according to agreed resource and timeline plans Ensure all programming activities on the project adhere to departmental standards Write and/or review and approve all programming plans Write and/or review and approve analysis dataset specifications Review and approve key study-related documents produced by other functions, e.g. SAPs, CRF, Data Management Plan, etc. Write, test and validate software programs in Unix to produce analysis datasets and presentation output, to be included in reports for submission to regulatory agencies, publications and other communications Write, test, validate and complete department-, product- and protocol-level macros and utilities Be responsible for the work of outsourced resources assigned to project Lead and/or participate in the development and review of CfOR Policies, SOPs and other controlled documents Participate in study and systems audits by Clinical Quality Assurance (CQA) and external bodies, and respond to audit questions and findings Participate in the recruitment of programming staff Actively participate in external professional organizations, conferences and/or meetings Provide input to and participate in intra-departmental and CfOR meetings Contribute to the continuous improvement of programming, CfOR, and Research and Development (R&D) Manage staff performance and oversee staff assignments and utilization What we expect of you We are all different, yet we all use our unique contributions to serve patients. This crucial role involves leading a team of senior statistical programmers who will generate Real-World Evidence (RWE) to support Amgen products throughout the drug development lifecycle. This lead programming role will collaborate with teams across multiple time zones to oversee request fulfillment, clarify requirements, track projects, resolve issues, and deliver high-quality results. The Biostatistical Programming Manager will report to a locally based Director of Biostatistical Programming. The Biostatistical Programming Manager will be responsible for both hands-on programming as well as guiding junior programmers. Additionally, they will be responsible for manipulating large databases and generating reports to enable epidemiologists to explore and generate RWE from real-world healthcare data assets. The ideal candidate should possess a bachelors degree and have at least six years of relevant career experience in statistical programming. Proficiency in SAS and SQL programming is required, while experience with R and Python is preferred. The successful candidate will demonstrate scientific and technical excellence, exceptional oral and written communication skills, problem-solving abilities, and meticulous attention to detail. The ability to work effectively within a large, globally distributed team is essential Basic Qualifications: Bachelors degree in Computer Science, Statistics, Mathematics, Life Sciences, Economics or other relevant scientific subject. At least 68 years of relevant statistical programming, systems engineering or application programming experience in a clinical development or life sciences setting Preferred Qualifications: Masters degree in Computer Science, Statistics, Mathematics, Life Sciences, Economics or other relevant scientific subject Training or experience using the Observational Medical Outcomes Partnership (OMOP) common data model Experience: Real-world evidence (RWE) generation in pharmaceutical or related research industries, or statistical programming for clinical trials Team management Global collaboration Request fulfillment oversight, clarifying requirements, project tracking, project fulfillment, statistical programming, issue resolution, expert resource, results delivery Statistical programming: SAS and SQL required; R and Python preferred Experience working with real-world healthcare data (RWD) such as healthcare claims (MarketScan, Optum Clinformatics, Medicare) and EHR databases (Optum EHR PanTher, Flatiron, CPRD, MDV) Key Competencies Hands-on programming and lead role Expert statistical programming knowledge using SAS or R Required: SAS Required: SQL Required: Experience with data quality or data quality platforms (for example: Informatica, Ataccama) Preferred: Python Preferred: R Excellent verbal and written communication skills in English Ability to have efficient exchanges with colleagues across geographical locations Agile project management Real-world data (RWD) including insurance claims databases, electronic medical records and patient registries; for example, MarketScan, Optum, PharMetrics, Flatiron, Medicare OMOP common data model Drug development life cycle Statistics and basic epidemiology: Incidence and prevalence Scientific / technical excellence Oral and written communication, documentation skills Leadership Innovation Teamwork Problem solving Attention to detail

Write, test, and validate software programs in Unix and Databricks to create analysis datasets and presentation outputs for regulatory submissions and publications. Provide technical programming solutions and lead process improvements within the Centre for Observational Research (CfOR). Manage all programming activities, ensuring adherence to timelines, resources, and departmental standards. Review and approve programming plans, analysis dataset specifications, and key study-related documents. Develop and execute macros and utilities at department, product, and protocol levels. Participate in multidisciplinary project teams and represent programming in meetings and audits. Contribute to the development and review of CfOR policies, SOPs, and respond to audit findings. Support recruitment, staff performance management, and oversee assignments within the programming team. Collaborate globally on studies involving real-world data (RWD), statistical programming (SAS, R, SQL), and compliance with standards like OMOP and CDISC. Demonstrate strong communication, leadership, problem-solving, innovation, and continuous learning in a hands-on programming role.

MKS Vision Pvt Ltd About us: MKS Vision is a full spectrum of Information Technology and engineering service provider. We exist to provide increased efficiencies and flexibility that accelerate business performance by adapting the latest cutting-edge technologies for our customers. Our services bring tangible benefits to our customers. MKS Vision will assist you in adopting global services. Website: https://www.mksvision.com/ Job Location: Coimbatore Risk Data Scientist Knowledge of lending industry analytical processes related to (credit underwriting, collections, etc.) Experienced in the data science lifecycle (model specification, development, deployment, and validation) Proficient in the use of modeling and machine learning techniques (logistic regression, gradient boosting, etc.), in SAS, Python or R Strong working exp in Power BI. Proficient in SQL for data extraction, manipulation and cleanup , and the development of modeling datasets for development Experience in conducting data studies and retro studies using internal and external data for model validation Experience in developing project presentations across the project lifecycle (project specification, development, conclusions, and recommendations) Experience in development and maintenance of model documentation Knowledge of lending data systems and data structures (credit applications, loan origination, collections, payments, dialers, credit bureau data) Ability to generate analytical insights form model data, including identification of candidate variables, and development of new features. Preferred minimum 3+ years of experience, BS degree on computer science, management information systems, statistics, data science, etc., or similar experience.

Job Description Proficiency in Python scripting for data analysis and model development. Analyze marketing data to identify trends and areas for improvement. Conduct MMM analysis to evaluate the effectiveness of various marketing channels and strategies. Create and manage marketing performance reports to optimize marketing campaigns and strategies. Collaborate with cross-functional teams to gather and analyze data requirements. Ensure data accuracy and integrity in all reports and dashboards. Provide actionable insights and recommendations based on data analysis. Develop predictive models to forecast marketing performance and optimize budget allocation. Stay up-to-date with industry trends and best practices in marketing analytics and retail. Qualifications Required Skills and Qualifications: Proficiency in Python scripting, SQL, and PowerBI for data analysis and visualization. Strong knowledge of statistical modeling techniques and their applications in marketing mix modelling, including: Linear regression,Time series analysis, Multivariate techniques, Conjoint analysis, Experimentation Experience with MMM evaluation techniques, such as: Baseline vs. Incremental Sales Segmentation: Separating natural sales from those driven by marketing efforts. Sales Trend Analysis: Tracking patterns and trends over time. External Factors Consideration: Including variables like economic conditions, competitor actions, and seasonal factors.3-5 years of experience in marketing analytics, MMM, and data-driven decision-making. Excellent analytical and problem-solving skills.Strong communication skills to present data insights to stakeholders. Ability to work independently and as part of a team.Knowledge of retail industry practices and trends.

Qualifications Experience Required: 3 - 5 years being part of Agile teams 3 - 5 years of scripting 2+ years of AWS Hand on (S3, Lamda) 2+ years of experience with Pyspark or Python 2+ Experience with cloud technologies such as AWS. 2+ years of hand on with SQL Experience Desired: Experience with GITHUB Teradata, AWS (Glue, Lamda), Databricks, Snowflake, Angular, Rest API, Terraform, Jenkins (Cloudbees, Jenkinsfile/Groovy, password valt) Education and Training Required: Knowledge and/or experience with Health care information domains is a plus Computer science Good to have PrimarySkills: JavaScript, Python, PySpark, TDV, R, Ruby, Perl Lambdas, S3, EC2 Databricks, Snowflakes, Jenkins, Kafka, API Language, Angular, Selenium, AI & Machine Learning

osition Summary As a Staff Data Scientist at Walmart Global Tech, you will lead complex data science initiatives that drive actionable insights and scalable solutions across Walmart's retail and finance divisions. You will oversee the end-to-end lifecycle of multiple machine learning projectstranslating business needs into analytical solutions, developing advanced AI/ML models, and deploying them to production at scale. This role demands a blend of deep technical expertise, strategic leadership, and cross-functional collaboration to accelerate Walmart's data-driven transformation. About the EBS Team Enterprise Business Services (EBS) builds robust technology and service solutions for Walmart's finance, people, and digital experience functions. The Data Science team within EBS applies cutting-edge machine learning, statistical analysis, and optimization techniques to solve critical business problems. We leverage petabytes of data and work closely with engineering teams to build scalable ML pipelines and reference architectures that optimize operations, enhance customer experiences, and innovate business practices. What You Will Do Lead and execute multiple data science projects involving advanced statistical modeling, machine learning, and AI aligned with business priorities. Design, build, and deploy scalable ML and AI models for fraud detection, forecasting, inventory management, price optimization, and recommendation systems. Collaborate with data engineers, business partners, and product teams to gather requirements, validate data quality, and translate insights into business actions. Serve as a technical leader and mentor to data scientists across sub-domains, ensuring timely delivery and adoption of ML best practices and MLOps. Drive innovation in AI/ML methodologies, including Gen-AI applications such as embedding generation, vector search, LLM agent development, and prompt engineering. Evaluate and prioritize business cases, identify gaps and opportunities, and propose scalable data-driven solutions. Partner with senior management to shape the data science strategy and domain-wide efficiency improvements. What You Will Bring Educational Qualifications: Master's degree with 10+ years, or Ph.D. with 8+ years of relevant experience in Computer Science, Statistics, Mathematics, or related field. Technical Expertise: Proven experience as a technical lead managing multiple data science projects end-to-end. Deep knowledge of ML techniques including classification, regression, NLP, forecasting, unsupervised learning, graph ML, causal inference, and experimentation. Hands-on experience with Gen-AI technologies: embedding generation, vector databases, LLM gateways, retrieval-augmented generation, model tuning, and monitoring. Proficient in Python, PySpark, R, and experience with big data platforms like Hadoop, Hive, Scala. Familiarity with cloud platforms (Google Cloud Platform, Azure), Vertex AI, Kubeflow, and GPU/CUDA acceleration for scalable ML deployment. Leadership & Collaboration: Strong communication skills with ability to influence stakeholders and guide technical teams. Ability to drive data science adoption, promote best practices, and foster innovation across multiple teams. Why Walmart Global Tech Join a global leader that empowers you to innovate at scale, impacting millions of customers worldwide. Work in a hybrid, flexible environment that values diversity and fosters belonging. Develop your career alongside industry experts and leverage the latest technology to redefine retail. Minimum Qualifications Bachelor's degree in a related field with 4+ years analytics experience, or Master's degree with 2+ years analytics experience, or 6+ years of experience in analytics or related field.

Roles & Responsibilities: Collaborate with geographically dispersed teams, including those in the US, EU and other international locations. Partner and ensure alignment of the Amgen India DTI site leadership and follow global standards and practices. Foster a culture of collaboration, innovation, and continuous improvement. Function as a Scientific Business Analyst, providing domain expertise for Research Data and Analytics within a Scaled Agile Framework (SAFe) product team Serve as Agile team scrum master or project manager as needed Serve as a liaison between global DTI functional areas and global research scientists, prioritizing their needs and expectations Create functional analytics dashboards and fit-for-purposes applications for quantitative research, scientific analysis and business intelligence (Databricks, Spotfire, Tableau, Dash, Streamlit, RShiny) Manage a suite of custom internal platforms, commercial off-the-shelf (COTS) software, and systems integrations Translate complex scientific and technological needs into clear, actionable requirements for development teams Develop and maintain release deliverables that clearly outlines the planned features and enhancements, timelines, and milestones Identify and manage risks associated with the systems, including technological risks, scientific validation, and user acceptance Develop documentations, communication plans and training plans for end users Ensure scientific data operations are scoped into building Research-wide Artificial Intelligence/Machine Learning capabilities Ensure operational excellence, cybersecurity and compliance. What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Doctorate degree OR Masters degree and 4 to 6 years of Life Science/Biotechnology/Pharmacology/Information Systems experience OR Bachelors degree and 6 to 8 years of Life Science/Biotechnology/Pharmacology/Information Systems experience OR Diploma and 10 to 12 years of Life Science/Biotechnology/Pharmacology/Information Systems experience Preferred Qualifications: BS, MS or PhD in Bioinformatics, Computational Biology, Computational Chemistry, Life Sciences, Computer Science or Engineering 3+ years of experience in implementing and supporting biopharma scientific research data analytics Functional Skills: Must-Have Skills: Excellent problem-solving skills and a passion for tackling complex challenges in drug discovery with technology and data Excellent communication skills and experience creating impactful slide decks with data Collaborative spirit and effective communication skills to work seamlessly in a cross-functional team Familiarity with data analytics and scientific computing platforms such as Databricks, Dash, Streamlit, RShiny, Spotfire, Tableau and related programming languages like SQL, python, R. Good-to-Have Skills: Demonstrated expertise in a scientific domain area and related technology needs Understanding of semantics and FAIR (Findability, Accessibility Interoperability and Reuse) data concepts Understanding of scientific data strategy, data governance, data infrastructure Experience with cloud (e.g. AWS) and on-premise compute infrastructure Familiarity with advanced analytics, AI/ML and scientific computing infrastructure, such as High Performance Compute (HPC) environments and clusters (e.g SLURM, Kubernetes) Experience with scientific and technical team collaborations, ensuring seamless coordination across teams and driving the successful delivery of technical projects Ability to deliver features meeting research user demands using Agile methodology An ongoing commitment to learning and staying at the forefront of AI/ML advancements. We understand that to successfully sustain and grow as a global enterprise and deliver for patients we must ensure a diverse and inclusive work environment. Professional Certifications SAFe for Teams certification (preferred) SAFe Scrum Master or similar (preferred) Soft Skills: Strong transformation and change management experience. Exceptional collaboration and communication skills. High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented with a focus on achieving team goals. Strong presentation and public speaking skills.

Manager Programming & Web Applications What you will do Guide and support junior team members by offering technical advice, conducting code reviews, and sharing knowledge to promote their professional development Provide technical solutions to programming problems within CfOR Lead and develop technical programming and process improvement initiatives within CfOR Represent the programming function and participate in multidisciplinary project team meetings Project manage all programming activities, according to agreed resource and timeline plans Ensure all programming activities on the project adhere to departmental standards Write and/or review and approve all programming plans Oversee the work of outsourced resources assigned to project Lead and/or participate in the development and review of CfOR Policies, SOPs and other controlled documents Participate in the recruitment of programming staff Actively participate in external professional organizations, conferences and/or meetings Provide input to and participate in intra-departmental and CfOR meetings Contribute to the continuous improvement of programming, CfOR, and Research and Development (R&D) Manage staff performance and oversee staff assignments and utilization Enhance and support existing R Shiny applications with a focus on front-end improvements Provide support for the Atlas web-based application from the OHDSI community Develop and implement web solutions using HTML, CSS, and JavaScript Collaborate with stakeholders to understand their requirements and translate them into technical solutions Implement CI/CD processes to ensure efficient and reliable deployment of applications Manage and optimize data workflows to support efficient data processing and analysis Stay updated with R programming trends and integrate new technologies as needed Establish coding standards and best practices for R package and R Shiny development Optimize performance and refactor code to enhance efficiency and reliability Validate and test software tools What we expect of you We are all different, yet we all use our unique contributions to serve patients. Managerial experience directly managing people and/or leadership experience leading teams, projects, programs or directing the allocation of resources in programming projects and Experience in R Shiny, HTML, CSS, and JavaScript. Basic Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field At least six (6) years of relevant experience in full stack development Preferred Qualifications: Master's degree in Computer Science, Information Technology or other relevant scientific subject Training or experience using the Observational Medical Outcomes Partnership (OMOP) common data model Experience working with the OHDSI community and supporting Shiny applications Familiarity with Real-World Evidence and its applications in observational studies Experience: Developing and maintaining web applications using R Shiny Supporting and enhancing web-based applications in a collaborative environment Collaborating with multi-functional teams to deliver technical solutions that meet user requirements Global collaboration Request fulfillment oversight, clarifying requirements, project tracking, project fulfillment, statistical programming, issue resolution, expert resource, results delivery Key Competencies Required: Proficient in R and R Shiny (Intermediate) Required: HTML (Expert) Required: CSS (Expert) Required: JavaScript (Expert) Preferred: Python (Intermediate) Git workflows using version control Continuous Integration and Continuous Deployment (CI/CD) Excellent verbal and written communication skills in English Ability to have efficient exchanges with colleagues across geographical locations Agile project management Real-world data (RWD) including insurance claims databases, electronic medical records and patient registries; for example, Market Scan, Optum, PharMetrics, Flatiron, Medicare OMOP common data model Scientific / technical excellence Oral and written communication, documentation skills Leadership Innovation Teamwork Problem solving Attention to detail Learning attitude

Overview The team member will be part of Shared Service Data operations team focusing on Business Activity classification function with specialization in Digital Assets. MSCI Data team research and evaluate companies, instrument and other asset classes on multitude of different factors. The team will be in charge of providing classification of Digital Asset and related asset types as per Datonomy methodology and manage their upkeep in systematic way. The position provides exposure to full life cycle of digital asset initiation, classification, ongoing maintenance and its derived used in products across MSCI Index and other business units. Responsibilities The candidate will be member of highly skilled team that solves complex problems involving but not limited to the following: Part of the team to re-engineer the Digital Asset classification operations. Work with engineering team to design, build and test system. Build AI/LLM augmented QA, source transparency and governance controls into the process. Integrate unique digital asset identifier and ongoing universe management process. Will also be responsible to work on other business classification as part of the larger team including issuer and business segment classification across different asset classes (Equities, Privates, Fixed Income issuers). Manage daily operations, coverage expansion, internal and client query management. Exposure to Equity, Fixed Income & other related indexes, performance and analytics; Exchange and vendor data feeds and symbology etc. Perform in depth analysis of data, analytics and workflows in order to improve processes and/or develop new work tools in collaboration with Tech and Development teams Collaborating across a global organization to service both internal and external clients in a shared services environment Partnering with our product and coverage organization to service first-rate clientele including many of the world’s central banks, leading financial institutions, hedge funds, and corporations. Qualifications Masters degree in Finance/Economics from premier institute (including equivalents CFA, CA, FRM) or engineering degree with a solid experience in finance 2-5 years of relevant experience (Associate) / 5-7 years of relevant experience (Senior Associate) Working knowledge of financial markets data operations (Equity, Fixed Income, Alternate investments) Excellent communication skills (both written and presentation), ability to work in multi-cultural environment Self-starter and drive to work in individual capacity with minimum oversight Solid background in Excel and Working knowledge of SQL Experience working with IT teams, knowledge of charting tools (Tableau, Power BI etc.) and basic coding skills to build Proof of Concept models (Python, R, other scripting etc.) will be added advantage. Desired Experience Exposure to content/research work in Alternate Asset class, especially digital assets will be a plus. Experience in working with global vendors will be a plus (Reuters, Interactive Data, Factset etc.) Exposure to different work shifts and schedules (but No US night shift) What we offer you Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing. Flexible working arrangements, advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients. Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development. Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles. We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum. At MSCI we are passionate about what we do, and we are inspired by our purpose – to power better investment decisions. You’ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry. MSCI is a leading provider of critical decision support tools and services for the global investment community. With over 50 years of expertise in research, data, and technology, we power better investment decisions by enabling clients to understand and analyze key drivers of risk and return and confidently build more effective portfolios. We create industry-leading research-enhanced solutions that clients use to gain insight into and improve transparency across the investment process. MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email Disability.Assistance@msci.com and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries. To all recruitment agencies MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes. Note on recruitment scams We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on careers.msci.com

Overview The team member will be part of Shared Service Data operations team focusing on Business Activity classification function with specialization in Digital Assets. MSCI Data team research and evaluate companies, instrument and other asset classes on multitude of different factors. The team will be in charge of providing classification of Digital Asset and related asset types as per Datonomy methodology and manage their upkeep in systematic way. The position provides exposure to full life cycle of digital asset initiation, classification, ongoing maintenance and its derived used in products across MSCI Index and other business units. Responsibilities The candidate will be member of highly skilled team that solves complex problems involving but not limited to the following: Part of the team to re-engineer the Digital Asset classification operations. Work with engineering team to design, build and test system. Build AI/LLM augmented QA, source transparency and governance controls into the process. Integrate unique digital asset identifier and ongoing universe management process. Will also be responsible to work on other business classification as part of the larger team including issuer and business segment classification across different asset classes (Equities, Privates, Fixed Income issuers). Manage daily operations, coverage expansion, internal and client query management. Exposure to Equity, Fixed Income & other related indexes, performance and analytics; Exchange and vendor data feeds and symbology etc. Perform in depth analysis of data, analytics and workflows in order to improve processes and/or develop new work tools in collaboration with Tech and Development teams Collaborating across a global organization to service both internal and external clients in a shared services environment Partnering with our product and coverage organization to service first-rate clientele including many of the world’s central banks, leading financial institutions, hedge funds, and corporations Qualifications Masters degree in Finance/Economics from premier institute (including equivalents CFA, CA, FRM) or engineering degree with a solid experience in finance 2-5 years of relevant experience (Associate) / 5-7 years of relevant experience (Senior Associate) Working knowledge of financial markets data operations (Equity, Fixed Income, Alternate investments) Excellent communication skills (both written and presentation), ability to work in multi-cultural environment Self-starter and drive to work in individual capacity with minimum oversight Solid background in Excel and Working knowledge of SQL Experience working with IT teams, knowledge of charting tools (Tableau, Power BI etc.) and basic coding skills to build Proof of Concept models (Python, R, other scripting etc.) will be added advantage. Desired Experience Exposure to content/research work in Alternate Asset class, especially digital assets will be a plus. Experience in working with global vendors will be a plus (Reuters, Interactive Data, Factset etc.) Exposure to different work shifts and schedules (but No US night shift) What we offer you Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing. Flexible working arrangements, advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients. Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development. Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles. We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum. At MSCI we are passionate about what we do, and we are inspired by our purpose – to power better investment decisions. You’ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry. MSCI is a leading provider of critical decision support tools and services for the global investment community. With over 50 years of expertise in research, data, and technology, we power better investment decisions by enabling clients to understand and analyze key drivers of risk and return and confidently build more effective portfolios. We create industry-leading research-enhanced solutions that clients use to gain insight into and improve transparency across the investment process. MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email Disability.Assistance@msci.com and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries. To all recruitment agencies MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes. Note on recruitment scams We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on careers.msci.com

VELTON PHARMACEUTICALS PRIVATE LIMITED is looking for R & D Chemist & Production to join our dynamic team and embark on a rewarding career journey. Dispense prescription medications and other health-related products to customers Maintain accurate and complete records of customer transactions and medications dispensed Ensure that medications are stored and dispensed in compliance with all applicable laws and regulations Excellent customer service skills Good organizational and communication skills

Supports employee recruitment and selection activities. - Collaborates with business managers in order to define candidate profiles. - Organizes and conducts interviews. - Maintains contact with external search companies. - Analyzes effectiveness of recruitment techniques. - Prepares reports on candidates. Location(s) Ahmedabad - Venus Stratum GCC

Liaising with customers, suppliers and research/scientific staff. Developing new analytical methods. Making sure that data is accurately recorded in accordance with guidelines. Reporting and presenting results. Preparing product licence documentation

The Project Manager will report to the Portfolio Manager and lead the Safeguarding Worker Rights in the Digital Age project. They will also support other portfolio initiatives and contribute to ESG data analysis across the Responsible Business team. This role requires strong program management, coordination, and analytical skills. The Project Manager will oversee project delivery, support strategic planning, and help design activities such as multi-stakeholder convenings and journalist capacity building in South and Southeast Asia. The ideal candidate is an experienced coordinator with expertise in ESG dataespecially human capital and social issuesand can clearly communicate complex findings to diverse audiences. About the Role: Please note, this is a one-year fixed term contract role. As a Project Manager at the Thomson Reuters Foundation, you will: Project Management Being the main responsible for the successful implementation and delivery of the project by developing a comprehensive understanding of project technical, delivery, and contractual obligations? Supporting the Portfolio Manager and the other Project Managers in the strategic design of the activities of other projects in the portfolio Work as a bridge and connector among the different projects in the portfolio, contributing to streamlining approaches, identify lessons learnt and align processes and procedures Lead the management/coordination of the project team (made up of colleagues across the foundation), according to the governance framework and under the lead of the Project Manager and the Portfolio Manager Leading on the draft of donors reports, both narratives and financial, by coordinating with other teams and under the lead of the Project Portfolio or other project Managers Coordinate and drive the input of a range of technical and operational teams within the foundation to deliver high-quality programming including a range of external technical consultants.?? Set up and maintain essential project management tools such as project plan, finance tracker, risk register, as well as being able to design ad-hoc tools to support specific challenges and risks during the project implementation. Travel internationally, as required, to monitor project implementation and ensure programme quality.? Manage the project data in line with TRF policies and international personal data regulations Contribute towards the strengthening of Project Cycle Management approaches and practice in collaboration with senior programme staff.?? Ensure impact stories are captured for wider project communications.? Facilitate information sharing within the Programmes Team and with others across the Foundation.? ESG Data Analysis Analyze ESG data with a focus on human capital and social issues and integrate human rights-related data into other responsible business programs, ensuring cohesive alignment across projects and programs. Collaborate with internal stakeholders to optimize scoring methodologies, contributing to the enhancement of our evaluation processes. Provide expertise in data visualization, offering feedback and insights to improve the user-friendliness of dashboards and construct effective fact sheets tailored for investors and various audiences Communicate complex findings effectively to non-technical audiences, acting as a reliable, knowledgeable point of contact for stakeholder inquiries and proactively delivering actionable insights. Stay informed on social aspects of ESG, including human capital, human rights, and associated standards and regulations, incorporating this knowledge into data analyses. Monitoring and evaluation?? With technical support from in-house MEAL Advisor, lead the implementation of the projects MEAL Framework.? Supported by the in-house MEAL Advisor, develop means of verification for the projects logframes and lead on their implementation for the project and potentially other portfolios workstreams Facilitate the quarterly impact and board reporting of your project into the wider organisation.? Budget Management? Develop detailed understanding of grant budget, and donor compliance and Support your project team in understanding and following TRF finance policies and processes.? .? Be the budget lead and key responsible of the projects finance by effectively managing the project finances within TRF and donor finance policies and procedures.?? Lead in the monthly and quarterly accounting process for your budget, including monthly accruals, invoice tracking and processing and quarterly forecasting, with the support of the project coordination and finance manager Technical Advice, Strategy and Drive? Maintain oversight and up to date knowledge of the political, security, legal and economic context of the projects thematic and regional areas of focus.?? Maintain consistent outreach to other actors in the field of labour rights in Thailand to ensure the project is accurately reflecting the context, building on existing initiatives and reflecting the environmental needs.?? Identify, assess and manage risks to effectively ensure the safety of project stakeholders and staff, supported by the Portfolio Manager About You To be our Project Manager it is essential you have:? Demonstrable experience of outstanding project and/or programme management (5+ years) of international development projects, also remotely. Hybrid Mode of Working: 2-3 days of mandatory work from office every week. Excellent grant financial acumen and excel skills and experience in managing multi-million and multi-country budgets A proven background in data analysis, especially regarding ESG and or business analytics. Comfortable using at least one data analysis software or tool (e.g., Excel, Python, R, SQL) Demonstrable financial literacy, including a good understanding of financial products, portfolio analysis, and ESG financial materiality assessment. Strong understanding of data visualization principles, with the ability to provide constructive insights for user-friendly dashboard designs and to create impactful fact sheets for diverse audiences. Demonstrable experience in stakeholder mapping and engagement, with a focus on national NGOs, CSOs and international organisations, preferably ILO, IOM and UNDP. Experience of managing a wide range of in-house and external technical consultants to deliver a wide range of deliverables on time and on budget.? Demonstrable experience in M&E through the development of project log frames, theories of change, KPIs and reports.? Ability to apply context-sensitive approaches to design and implementation of activities.?? Demonstrable experience in donor reporting, financial and narrative Demonstrable experience in designing and delivering events and capacity building training Fluency in English.?Working knowledge of Thai is an asset. Available and willing to align part your working hours to the UK time zone for at least two days a week. Desired Knowledge & skills. Experience of leading international development projects, preferably in Southeast Asia/South Asia is required. Extensive knowledge of corporate ESG reporting, with particular expertise in human capital, social issues, and an understanding of social impact data standards and regulations. Ability to transform raw data into actionable, strategic insights, and communicate complex findings effectively to non-technical audiences Knowledge of responsible business and just transition principles and policies, with a specific focus on South Asia and Southeast Asia Experience of designing, assessing the quality and planning for research uptake Previous experience in working on labour rights Experience in the responsible business and media development sector or role linked to human rights field

Must-have skills: Marketing Analytics, Data Driven Merchandizing (Pricing/Promotions/Assortment Optimization), Statistical Timeseries Models, Store Clustering Algorithms, Descriptive Analytics, State Space Modeling, Mixed Effect Regression, NLP Techniques, Large Language Models, Azure ML Tech Stack, SQL, R, Python, AI/ML Model Development, Cloud Platform Experience (Azure/AWS/GCP), Data Pipelines, Client Management, Insights Communication Good to have skills: Non-linear Optimization, Resource Optimization, Cloud Capability Migration, Scalable Machine Learning Architecture Design Patterns, Econometric Modeling, AI Capability Building, Industry Knowledge:CPG, Retail Job Summary As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading statistical tools, methods, and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. Roles & Responsibilities: Working through the phases of project Define data requirements for Data Driven Growth Analytics capability. Clean, aggregate, analyze, interpret data, and carry out data quality analysis. Knowledge of market sizing, lift ratios estimation. Experience in working with non-linear optimization techniques. Proficiency in Statistical Timeseries models, store clustering algorithms, descriptive analytics to support merch AI capability. Hands on experience in state space modeling and mixed effect regression. Development of AI/ML models in Azure ML tech stack. Develop and Manage data pipelines. Aware of common design patterns for scalable machine learning architectures, as well as tools for deploying and maintaining machine learning models in production. Knowledge of cloud platforms and usage for pipelining and deploying and scaling elasticity models. Working knowledge of resource optimization Working knowledge of NLP techniques, Large language models. Manage client relationships and expectations and communicate insights and recommendations effectively. Capability building and thought leadership. Logical Thinking Able to think analytically, use a systematic and logical approach to analyze data, problems, and situations. Notices discrepancies and inconsistencies in information and materials. Task Management Advanced level of task management knowledge and experience. Should be able to plan own tasks, discuss and work on priorities, track, and report progress . Client Relationship Development Manage client expectations and develop trusted relationships Maintain strong communication with key stakeholders Act as a strategic advisor to clients on their data-driven marketing decisions Professional & Technical Skills: Must have at least 4+ years of work experience in Marketing analytics with a reputed organization.3+ years of experience in Data Driven Merchandizing which involves work experience in Pricing/Promotions/Assortment Optimization capabilities across retail clients.Strong understanding of econometric/statistical modeling:regression analysis, hypothesis testing, multivariate analysis, time series, optimization Expertise in Azure ML, SQL, R, Python, PySpark Proficiency in non-linear optimization and resource optimization Familiarity with design patterns for deploying and maintaining ML models in production Strong command over marketing data and business processes in Retail and CPG Hands-on with tools like Excel, Word, PowerPoint for communication and documentation Additional Information: Bachelor/Masters degree in Statistics/Economics/ Mathematics/ Computer Science or related disciplines with an excellent academic record Knowledge of CPG, Retail industry. Proficient in Excel, MS word, PowerPoint, etc. Strong client communication. Qualification Experience: Must have at least 4+ years of work experience in Marketing analytics with a reputed organization. 3+ years of experience in Data Driven Merchandizing which involves work experience in Pricing/Promotions/Assortment Optimization capabilities across retail clients. Educational Qualification: Bachelor/Masters degree in Statistics/Economics/Mathematics/Computer Science or related disciplines. Preferred advanced degrees include M.Tech, M.Phil/Ph.D in Statistics/Econometrics or related field from reputed institutions.

Must have skills: ML algorithms, NLP and Predictive Analytics, Conversational Analytics, Python, Cloud Knowledge (Azure/AWS/GCP), Proficiency in BI tools (Power BI/Tableau/ Qlik Sense/ThoughtSpot/Figma etc.). Leverages artificial intelligence and machine learning techniques to enhance BI processes along with consulting experience of AI driven BI Transformations (Defining BI Governance, Operating model, Assessment Framework etc.) Good to have skills: Knowledge of Gen AI Models implementation (Open AI, Mistral, Phi-2, Solar, Claude 3 etc.), Agentic architecture implementation WHATS IN IT FOR YOU Youll be part of a diverse, vibrant, BI Strategy team which has dynamic and innovative group of creating Data and BI Strategy & Consulting professionals. We understand the vision and mission of our customers & help them by developing innovative BI Strategy with value driven use cases, roadmap & technological solutions that drive business growth and innovation. As a key pillar of our organization, the Engineering Products team worked on various fields from BI , Data & AI perspective- BI Strategy, AI Enabled BI Strategy, Data Modelling, Data Architecture, Industry & AI Value strategy etc. that helps our customers in setting up strong data platform foundation & target roadmap to scaling & evolve towards achieving AI/GEN AI & advanced analytics vision to meet the evolving future needs of technology advancement. What you would do in this role Participate in visioning workshop & develop innovative BI Strategy & architecture frameworks tailored to the unique goals and aspirations of our clients, ensuring alignment with their evolving needs and preferences. Conduct comprehensive evaluations of clients' existing processes, technologies, and data ecosystems, uncovering opportunities for AI integration that resonate with Gen AI values and lifestyles. Align with industry & function teams, understand business problems, and translate it to BI , BI Governance , AI enabled BI and Operating Model , Develop target strategy with respect to Business Intelligence, Tools & Technology, BI Operating Model, BI Governance, AI Enabled BI needs along with Key initiatives & roadmap. Propose best suited LLMs (Large Language Model-GPT 3.5, 4, Llama etc.) as per the selection criteria framework & serve as a trusted advisor to our clients, offering expert guidance on AI Enabled BI Propose adoption strategies that resonate with BI and plan persona-based BI strategy for enterprise function. Work closely with cross-functional teams to co-create and implement innovative . He should be able to define personas and persona journey from functional and technical aspects with respect to Business Intelligence Able to architect , delivery and design BI Enabled AI solutions that address the complex challenges faced by customers and businesses. Participate in client engagements with confidence and finesse, overseeing project scope, timelines, and deliverables to ensure seamless execution and maximum impact. Facilitate engaging workshops and training sessions to empower BI Client stakeholders with the knowledge and skills needed to embrace Data driven transformation enabled through AI. Stay abreast of emerging BI , Data and AI analytics trends and technologies, continuously improving internal capabilities and offerings. Participate in BI, AI Enabled BI and Analytics aligned solutions and client demos. Who are we looking for Years of Experience: Candidates should typically have at least 6-9 years of experience in BI strategy, management, or a related field. This experience should include hands-on involvement in developing and implementing BI strategies for clients across various industries. Education: A bachelors or masters degree in computer science, Data Science, Engineering, Statistics, or a related field. Add eligibility: Strong analytical and strategic thinking skills are essential for this role. Candidates should be able to assess clients' business processes, technologies, BI, AI and data infrastructure to find opportunities for BI and AI Enabled BI integration and develop tailored BI strategy frameworks aligned with clients' goals. Displayed expertise in artificial intelligence technologies, including machine learning, natural language processing, computer vision, and deep learning. Candidates should have a solid understanding of AI concepts, algorithms, and their applications in solving real-world business problems. Excellent communication and presentation skills are crucial for effectively articulating complex technical concepts to non-technical stakeholders. Candidates should be able to convey AI strategy recommendations in a clear, concise, and compelling manner. Knowledge of cloud computing services (AWS, Azure, GCP) related to scaled AI and data analytics solutions. The ability to collaborate effectively with cross-functional teams is essential for this role. Candidates should be comfortable working with diverse teams to design and execute AI solutions that address clients' business challenges and deliver measurable results. Candidates should have a strong understanding of Gen AI preferences, behaviors, and values. Candidate should have understanding & working knowledge of various large language models to propose and implement best suited LLMs to our customer based on AI strategies that resonate with Gen AI Working experience with machine learning algorithms and statistical modeling techniques. Knowledge on MLOPs tools and services from strategic mindset will be a plus. Desired experience. Minimum 6 years of experience working with clients in the products industry (Lifesciences, CPG, Industry & Ret that are heavily influenced by AI & Gen AI preferences and behaviors, is highly valued. Candidates who have a deep understanding of AI & Gen AI trends and market dynamics can provide valuable insights and strategic guidance to clients. Minimum 5 years proven experience & deep expertise in developing and implementing AI strategy frameworks tailored to the specific needs and aims of clients within LS, Industry, CPG, and Retail sectors. The ability to craft innovative AI solutions that address industry-specific challenges and drive tangible business outcomes will set you apart. Minimum 6 years strong consulting background with a demonstrated ability to lead client engagements from start to completion. Consulting experience should encompass stakeholder management and effective communication to ensure successful project delivery. Minimum 4 years strong working experience AI implementation lifecycle & working knowledge in the AI and Analytics lifecycle, including problem definition, data preparation, model building, validation, deployment, and monitoring. Tools & Techniques Knowledge of UI/UX design using React, Angular & Visualization tools-Power BI/Tableau/Qlik Sense Knowledge on Cloud and native services around AI & GEN AI implementation-AWS/Azure/ GCP Have worked hands on Programming languages such as Python, R, SQL or Scala. Working knowledge AI and analytics platforms and tools, such as TensorFlow, PyTorch, KNIME, or similar technologies Working Knowledge on NLP (Natural Language Processing) techniques-text summarizer, text classification, Named Entity Recognition etc. Working Knowledge on various machine learning models-Supervised unsupervised, classification, regression model, Reinforcement learning, Neural networks etc., Knowledge on LLMs-Open AIGPT, Llama Index etc. Knowledge of ML Ops deployment, process tools & strategy (ML Flow, AWS Sage maker etc. law. Qualification Experience: Minimum 4 year(s) of experience is required Educational Qualification: B.Tech/BE

locationsGurugram - DLF Buildingposted onPosted 10 Days Ago time left to applyEnd DateMay 31, 2025 (10 hours left to apply) job requisition idR_295096 Company: Oliver Wyman Description: Oliver Wyman is a global leader in management consulting. With offices in 60 cities across 29 countries, Oliver Wyman combines deep industry knowledge with specialized expertise in strategy, operations, risk management, and organization transformation. Our 5000 professionals help clients optimize their business, improve their operations, and risk profile, and accelerate their organizational performance to seize the most attractive opportunities. Oliver Wymans thought leadership is evident in our agenda-setting books, white papers, research reports, and articles in the business press. Our clients are the CEOs and executive teams of the top Global 1000 companies. Visit our website for more details about Oliver Wyman Job specification Job title: Senior Data Engineer Department: OWG Tech Office/region: India Reports to: Director of Data Engineering Job Overview: The OWG Technology department is seeking a highly skilled and motivated Senior Data Engineer to play a critical role in our data transformation program. In this position, you will lead major projects and workstreams, collaborating closely with stakeholders to ensure the successful implementation of data solutions. You will also mentor and coach junior team members, providing guidance during sprints as a technical lead. Your expertise in cloud data platforms, particularly the Databricks Lakehouse, will be essential in driving innovation and best practices within the team. Key Responsibilities: Lead the design and implementation of processes to ingest data from various sources into the Databricks Lakehouse platform, ensuring alignment with architectural and engineering standards. Oversee the development, maintenance, and optimization of data models and ETL pipelines that support the Medallion Architecture (Bronze, Silver, Gold layers) to enhance data processing efficiency and facilitate data transformation. Utilize Databricks to integrate, consolidate, and cleanse data, ensuring accuracy and readiness for analysis, while leveraging Delta Lake for versioned data management. Implement and manage Unity Catalog for centralized data governance, ensuring proper data access, security, and compliance with organizational policies and regulations. Collaborate with business analysts, data scientists, and stakeholders to understand their data requirements and deliver tailored solutions that leverage the capabilities of the Databricks Lakehouse platform. Promote available data and analytics capabilities to business stakeholders, educating them on how to effectively leverage these tools and the Medallion Architecture for their analytical needs. Experience: Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field. Minimum of 7+ years of experience in data engineering or a related data role, with a proven track record of leading projects and initiatives. Expertisein designing and implementing production-grade Spark-based solutions. Expertisein query tuning, performance tuning, troubleshooting, and debugging Spark or other big data solutions. Proficientin big data technologies such as Spark/Delta, Hadoop, NoSQL, MPP, and OLAP. Proficientin cloud architecture, systems, and principles, particularly in AWS. Proficientin programming languages such as Python, R, Scala, or Java. Expertisein scaling ETL pipelines for performance and cost-effectiveness. Experiencein building and scaling streaming data pipelines. Strong understandingof DevOps tools and best practices for data engineering, including CI/CD, unit and integration testing, automation, and orchestration. Cloud or Databricks certification is highly desirable. Skills and Attributes: Full professional proficiency in both written and spoken English. Strong problem-solving and troubleshooting skills. Excellent communication skills, both verbal and written, with the ability to articulate complex concepts clearly and engage effectively with diverse audiences. Proven ability to lead and mentor junior team members, fostering a collaborative and high-performing team environment. Neutral toward technology, vendor, and product choices, prioritizing results over personal preferences. Resilient and composed in the face of opposition to ideas, demonstrating a collaborative spirit. Lead the migration of existing ETL processes from Informatica IICS and SSIS to cloud-based data pipelines within the Databricks environment, ensuring minimal disruption and maximum efficiency. Act as a technical lead during sprints, providing guidance and support to team members, and ensuring adherence to best practices in data engineering. Engage with clients and stakeholders to support architectural designs, address technical queries, and provide strategic guidance on utilizing the Databricks Lakehouse platform effectively. Stay updated on industry trends and emerging technologies in data engineering, particularly those related to Databricks, cloud data solutions, and ETL migration strategies, continuously enhancing your skills and knowledge. Demonstrate excellent problem-solving skills, with an ability to see and solve issues before they affect business productivity. Demonstrate thought leadership by contributing to the development of best practices, standards, and documentation for data engineering processes within the organization. Why join our team: We help you be your best through professional development opportunities, interesting work and supportive leaders. We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities. Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being. (NYSEMMC) is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses, , and . With annual revenue of $23 billion and more than 85,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit , or follow on and . Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person. Marsh McLennan(NYSEMMC) is a global leader in risk, strategy and people, advising clients in 130 countries across four businessesMarsh, Guy Carpenter, Mercerand Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit marshmclennan.com, or follow on LinkedInand X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person.

locationsPune - Business Bayposted onPosted 2 Days Ago job requisition idR_307963 Company: Mercer Description: Provides technical assistance by responding to inquiries regarding errors, problems or questions with program applications. Assist in validating outgoing files for accuracy in data and layout. Help review and edit communication materials created by clients describing process. Assist in testing process. Help communicate enhancements and modifications to clients and assist with acclimation process by guiding them through changes. Mercer, a business of Marsh McLennan (NYSEMMC), is a global leader in helping clients realize their investment objectives, shape the future of work and enhance health and retirement outcomes for their people. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businessesMarsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit mercer.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person.

locationsMumbai - Hiranandaniposted onPosted 22 Days Ago job requisition idR_306635 Company: Marsh Description: We are looking for a talented and dynamic individual to join our Catastrophe Modelling team at Guy Carpenter. This role is based in Mumbai. This is a hybrid role that has a requirement of working at least two days a week in the office We will count on you to Contribute to developing an inclusive work environment that respects and values differences of background, experience, and thought. Organize client data, check data for reasonability, load data into predictive models, run the models, share insights with senior colleagues, and compile coherent and compelling narratives to help clients understand their degree of risk. Perform basic calculations with client data to assess a range of risk exposures and predict outcomes for clients in support of reinsurance transaction process. Conduct research on industry/regulatory developments that affect loss liabilities to determine the impact on clients. Generating multiple exhibits, dashboards and decks leading to have impactful and insightful discussions with clients on their reinsurance strategy. Establish and maintain strong relationships with brokers/clients/reinsurers/colleagues, assist in promptly responding to client queries and concerns. Keep teams updated on industry-specific and specialty related trends that may affect reinsurance programs/calculations Leverage our proprietary MetaRisk software suite and other internal tools to develop and optimize bespoke reinsurance transactions and evaluate their impact on our clients capital, growth, and volatility objectives. What you need to have Bachelors or masters degree in a technical discipline such as Actuarial Science, Data Science, Engineering, Physics, Mathematics or Statistics. 2-4 years of work experience; completion of at least 2 actuarial exams preferred. Curious and proactive mindsetdesire and ability to lead internal initiatives and research projects to completion. A collaborative, team-oriented mindset and effective interpersonal skills that is a positive and helpful presence in colleague and client interactions. Strong ability to be organized and detail oriented. Capacity to progress multiple projects at the same time. A desire and ability to grow beyond your current capabilities. Superior communication and presentation skills. Proficient in MS Excel with skills in other MS Office products. What makes you stand out Familiarity with programming languages & visualization tools (i.e., R, Python, SQL, Alteryx, Power BI) Experience in a technical role at a reinsurance broker, market, or catastrophe model vendor Prior experience in relevant re/insurance field. Understanding of the reinsurance industry and product lines Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person.

locationsMumbai - Hiranandaniposted onPosted 10 Days Ago time left to applyEnd DateJune 3, 2025 (3 days left to apply) job requisition idR_308144 Company: Marsh Description: We are seeking a talented individual to join our Data Science team at Marsh. This role will be based in Mumbai. This is a hybrid role that has a requirement of working at least three days a week in the office. Senior Manager - Data Science and Automation We will count on you to: Identify opportunities which add value to the business and make the process more efficient. Invest in understand the core business including products, process, documents, and data points with the objective of identifying efficiency and value addition opportunities. Design and develop end-to-end NLP/LLM solutions for document parsing, information extraction, and summarization from PDFs and scanned text. Develop AI applications to automate manual and repetitive tasks using generative AI and machine learning. Fine-tune open-source LLMs (like LLaMA, Mistral, Falcon, or similar) or build custom pipelines using APIs (OpenAI, Anthropic, Azure OpenAI). Build custom extraction logic using tools like LangChain, Haystack, Hugging Face Transformers, and OCR libraries like Tesseract or Azure Form Recognizer. Create pipelines to convert outputs into formatted Microsoft Word or PDF files using libraries like docx, PDFKit, ReportLab, or LaTeX. Collaborate with data engineers and software developers to integrate AI models into production workflows. Ensure model performance, accuracy, scalability, and cost-efficiency across business use cases. Stay updated with the latest advancements in generative AI, LLMs, and NLP research to identify innovative solutions. Design, develop, and maintain robust data pipelines for extracting, transforming, and loading (ETL) data from diverse sources. As the operational scales up design and implement scalable data storage solutions and integrate them with existing systems. Utilize cloud platforms (AWS, Azure, Google Cloud) for data storage and processing. Conduct code reviews and provide mentorship to junior developers. Stay up-to-date with the latest technology trends and best practices in data engineering and cloud services. Ability to lead initiatives and deliver results by engaging with cross-functional teams and resolving data ambiguity issues. Be responsible for the professional development of your projects and institute a succession plan. What you need to have: Bachelor's degree in Engineering, Analytics, or a related field, MBA, Computer Applications, IT, Business Analytics, or any discipline. Proven experience of 8-12 years in Python development Hands-on experience with frameworks and libraries like Transformers, LangChain, PyTorch/TensorFlow, spaCy, Hugging Face, and Haystack. Strong expertise in document parsing, OCR (Tesseract, AWS Textract, Azure Form Recognizer), and entity extraction. Proficiency in Python and familiarity with cloud-based environments (Azure, AWS, GCP). Experience deploying models as APIs/microservices using FastAPI, Flask, or similar. Familiarity with PDF parsing libraries (PDFMiner, PyMuPDF, Apache PDFBox) and Word generation libraries (python-docx, PDFKit). Solid understanding of prompt engineering and prompt-tuning techniques. Proven experience with data automation and building data pipelines. Proven track record in building and maintaining data pipelines and ETL processes. Strong knowledge of Python libraries such as Pandas, NumPy, and PySpark, Camelot. Familiarity with database management systems (SQL and NoSQL databases). Experience in designing and implementing system architecture. Ability to operate in a multi layered technology architecture and shape the technology maturity of the organization. Solid understanding of software development best practices, including version control (Git), code reviews, and testing frameworks (PyTest, UnitTest). Strong attention to detail and ability to work with complex data sets. Effective communication skills to present findings and insights to both technical and non-technical stakeholders. Specify superior listening, verbal and written communication skills Excellent project management and organization skills Superlative stakeholder management skills ability to positively influence stakeholders. Synthesis skills- Ability to connect the dots and answer the business question. Excellent problem-solving, structuring and critical-thinking skills. Ability to work independently and collaboratively in a fast-paced environment. What makes you stand out Masters degree in Computer Science, Engineering, or related fields. Experience in working with large-scale data sets and real-time data processing. Familiarity with additional programming languages like Java, C++, or R. Strong problem-solving skills and ability to work in a fast-paced environment. Why join our team: We help you be your best through professional development opportunities, interesting work and supportive leaders. We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities. Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being. Marsh, a business of Marsh McLennan (NYSEMMC), is the worlds top insurance broker and risk advisor. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businessesMarsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit marsh.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person.