296 Knime Jobs - Page 4

Job Description Alimentation Couche-Tard Inc., (ACT) is a global Fortune 200 company. A leader in the convenience store and fuel space, it has footprint across 31 countries and territories. The India Data & Analytics Global Capability Centre is an integral part of ACT’s Global Data & Analytics Team and the Associate Data Scientist will be a key player on this team that will help grow analytics globally at ACT. About the Role The hired candidate will partner with multiple departments, including Global Marketing, Merchandising, Global Technology, and Business Units. The incumbent will be responsible for delivering advanced analytics projects that drive business results including interpreting business, selecting the appropriate methodology, data cleaning, exploratory data analysis, model building, and creation of polished deliverables. Responsibilities Analyze large-scale structured and unstructured data; develop deep-dive analyses and machine learning models in retail, marketing, merchandising, and other areas of the business Utilize data mining, statistical and machine learning techniques to derive business value from store, product, operations, financial, and customer transactional data Apply multiple algorithms or architectures and recommend the best model with in-depth description to evangelize data-driven business decisions Utilize cloud setup to extract processed data for statistical modelling and big data analysis, and visualization tools to represent large sets of time series/cross-sectional data Structure hypothesis, build thoughtful analyses, develop underlying data models, and bring clarity to previously undefined problems Partner with Data Engineering to build, design and maintain core data infrastructure, pipelines, and data workflows to automate dashboards and analyses Articulate complex data science models to business teams and present the insights in easily understandable and innovative formats Qualifications and experience Bachelor’s degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.) Master’s degree preferred (MBA/MS Computer Science/M.Tech Computer Science, etc.) 1–2 years of relevant working experience in a data science/advanced analytics role Knowledge of Functional Analytics (Supply chain analytics, Marketing Analytics, Customer Analytics) Knowledge and ability to conduct statistical modelling using Analytical tools (R, Python, KNIME, etc.) and use big data technologies Knowledge of business intelligence & reporting (Power BI, Tableau, Alteryx, etc.) Knowledge of Enterprise reporting systems, relational (MySQL, Microsoft SQL Server etc.), non-relational database management systems and Data Engineering tools Knowledge and ability to use Big data technologies (Hadoop, Spark, Kafka, Presto etc) and Cloud computing services in Azure/AWS/GCP for data engineering, ML Ops Ability to delivery, strong disposition towards business and strong interpersonal communication Individual must be organized, dependable, able to multi-task and manage priorities, display initiative, and must have the ability to work independently in a demanding, fast-paced environment. #LI-DS1

We are seeking a dynamic Tableau Analyst to join our Tools and Reporting team. This role is pivotal in crafting insightful and actionable dashboards and providing essential PMO support for successful project delivery. The ideal candidate should possess strong data experience, including proficiency in data manipulation tools such as Tableau, Python, or Knime, and have familiarity with project management methodologies. Additionally, expertise in building Tableau dashboards to effectively visualize metrics and the ability to extract data and construct comprehensive data models is required. Key Responsibilities: Tableau Development: Design, develop, and maintain interactive Tableau dashboards to visualize complex datasets effectively. Use Tableau Prep for data cleaning, transformation, and preparation for analysis. Develop complex calculations and custom formulas within Tableau to meet specific analytical needs. Optimize dashboard performance for efficient data retrieval and rendering. Ensure data accuracy and integrity within dashboards. Collaborate with stakeholders to gather requirements and translate them into effective dashboard designs. Influences and negotiates with senior leaders (across functions); may communicate with external parties. Provides evaluative judgment based on analysis of factual information in complicated, unique and dynamic situations; draws on diverse range of internal and external sources. 5+ years of hands on experience is required. PMO Support: Assist in planning, executing, and monitoring projects related to data visualization and analytics. Apply project management methodologies such as Agile, Iterative, and Waterfall to manage project tasks and timelines. Track project progress, identify potential risks, and proactively address issues to ensure project success. Communicate project status updates to stakeholders. Maintain project documentation and artifacts. Demonstrates an in-depth understanding of how IT project leadership integrates within the overall technology function to achieve objectives; requires a good understanding of the industry. Data Expertise: Demonstrate a strong understanding of data concepts, including data modeling, data warehousing, and ETL processes. Be familiar with Tableau Prep, Python, or Knime to manipulate and transform data for use in Tableau dashboards. Understand database concepts and write SQL queries to extract data. 5+ years of hands on experience is required. Qualifications: Proven experience as a Tableau Developer with a strong portfolio of interactive dashboards. Proficiency in Tableau Prep for data cleaning and transformation. Experience in creating complex calculations and custom formulas in Tableau. Solid understanding of data concepts, including data modeling and ETL processes. Experience with Python and Knime for data manipulation. Familiarity with project management methodologies such as Agile, Iterative, and Waterfall. Excellent communication and collaboration skills. Knowledge of PTS (Project Tracking System) or similar project management tools is preferred. Experience with data visualization best practices is required. Tableau certification is required. Education: Bachelor's degree in Computer Science, Information Technology, or a related field. This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Technology Project Management ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills Project Management Office (PMO), Structured Query Language (SQL), Tableau Server. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

Job Description Alimentation Couche-Tard Inc., (ACT) is a global Fortune 200 company. A leader in the convenience store and fuel space, it has footprint across 31 countries and territories. The India Data & Analytics Global Capability Centre is an integral part of ACT’s Global Data & Analytics Team and the Associate Data Scientist will be a key player on this team that will help grow analytics globally at ACT. About The Role The hired candidate will partner with multiple departments, including Global Marketing, Merchandising, Global Technology, and Business Units. The incumbent will be responsible for delivering advanced analytics projects that drive business results including interpreting business, selecting the appropriate methodology, data cleaning, exploratory data analysis, model building, and creation of polished deliverables. Responsibilities Analyze large-scale structured and unstructured data; develop deep-dive analyses and machine learning models in retail, marketing, merchandising, and other areas of the business Utilize data mining, statistical and machine learning techniques to derive business value from store, product, operations, financial, and customer transactional data Apply multiple algorithms or architectures and recommend the best model with in-depth description to evangelize data-driven business decisions Utilize cloud setup to extract processed data for statistical modelling and big data analysis, and visualization tools to represent large sets of time series/cross-sectional data Structure hypothesis, build thoughtful analyses, develop underlying data models, and bring clarity to previously undefined problems Partner with Data Engineering to build, design and maintain core data infrastructure, pipelines, and data workflows to automate dashboards and analyses Articulate complex data science models to business teams and present the insights in easily understandable and innovative formats Qualifications And Experience Bachelor’s degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.) Master’s degree preferred (MBA/MS Computer Science/M.Tech Computer Science, etc.) 1–2 years of relevant working experience in a data science/advanced analytics role Knowledge of Functional Analytics (Supply chain analytics, Marketing Analytics, Customer Analytics) Knowledge and ability to conduct statistical modelling using Analytical tools (R, Python, KNIME, etc.) and use big data technologies Knowledge of business intelligence & reporting (Power BI, Tableau, Alteryx, etc.) Knowledge of Enterprise reporting systems, relational (MySQL, Microsoft SQL Server etc.), non-relational database management systems and Data Engineering tools Knowledge and ability to use Big data technologies (Hadoop, Spark, Kafka, Presto etc) and Cloud computing services in Azure/AWS/GCP for data engineering, ML Ops Ability to delivery, strong disposition towards business and strong interpersonal communication Individual must be organized, dependable, able to multi-task and manage priorities, display initiative, and must have the ability to work independently in a demanding, fast-paced environment.

About the job: We are seeking a skilled Data Platform Engineer with expertise in High-Performance Computing (HPC) and cloud computing to support our scientific research activities globally (Canada, US, France and Germany mostly). The ideal candidate will have experience in managing and optimizing Linux-based HPC environments, as well as proficiency in AWS cloud services. This role involves collaborating with various R&D groups to provide technical support and drive continuous improvements in our computing infrastructure. The candidate should be adept at handling both open-source and commercial software across different R&D fields. What you will be doing: Support in-silico activities in the Boston area, including the installation, configuration, and optimization of Linux workstations and applications. Provide continuous improvements and maintenance of the current Linux environments. Manage and optimize AWS cloud resources, including key services such as Amazon FSx for Lustre, EC2, S3… Collaborate with research teams to understand their computational needs and provide tailored solutions. Ensure the security, scalability, and efficiency of cloud-based scientific workflows. Troubleshoot and resolve technical issues in both on-premises and cloud environments. Handle the compilation, installation, and maintenance of open-source software and commercial applications. Stay updated with the latest advancements in HPC and cloud technologies to recommend and implement improvements. Main responsibilities: - Proven experience in managing and optimizing Linux-based HPC environments. Strong proficiency in AWS cloud services, particularly Amazon FSx for Lustre, EC2, S3. Knowledge of cloud architecture, including network design, storage solutions, and security best practices. Familiarity with scripting languages such as Bash, Python, or Perl for automation and system administration tasks. Experience with containerization technologies like Docker and orchestration tools like Kubernetes. Ability to compile, install, and maintain open-source software and commercial applications. Strong problem-solving skills and the ability to work independently and in a team. Excellent communication skills to collaborate effectively with researchers and technical teams. Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Preferred Qualifications: Experience with other cloud platforms (e.g., Google Cloud, Azure). Knowledge of bioinformatics or scientific computing workflows. Experience in working with HPC schedulers (SLURM, PBS, Grid Engine etc…) Familiarity with Infrastructure as Code (IaC) tools like Terraform or CloudFormation. Certifications in AWS or other cloud platforms. Experience with software tools in various R&D fields, such as: Drug Design and Molecular Modeling: Schrödinger, Moe, Amber, Gromacs, NAMD, AlphaFold. Genomics and Data Analysis: NGS pipelines (Cellranger), KNIME, R/RStudio/RShiny. Pharmacokinetics and Clinical Simulations: Monolix, Matlab, R/RStudio, Julia. Structural Biology and Imaging: CryoSparc, Relion, CCP4, Pymol. Why choose us? Bring the miracles of science to life alongside a supportive, future-focused team. Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally. Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact. Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks’ gender-neutral parental leave. Opportunity to work in an international environment, collaborating with diverse business teams and vendors, working in a dynamic team, and fully empowered to propose and implement innovative ideas. Pursue Progress . Discover Extraordinary . Progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. You can be one of those people. Chasing change, embracing new ideas and exploring all the opportunities we have to offer. Let’s pursue Progress. And let’s discover Extraordinary together. At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity. Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!

Job Title – Ind & Func AI Value Strategy Consultant S&C GN Management Level: 09 - Consultant Location: All locations 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 About S&C - Global Network : - Accenture Strategy & Consulting Global shapes our clients’ future, combining deep business insight with the understanding of how technology will change industry and business models. Our focus on issues related to business intelligence, Analytics and data insights using AI & GEN AI strategy and solutions. Today, digital is changing the way organizations engage with their employees, business partners, customers, and communities. This is our unique differentiator. To bring this global perspective to our clients, Accenture Strategy's services include those provided by our S&C Global Network – a distributed management consulting organization that provides management consulting and strategy expertise across the client lifecycle. Our S&C Global Network teams complement our in-country teams to deliver innovative expertise and measurable value to clients all around the world. WHAT’S IN IT FOR YOU? You’ll 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 bachelor’s or master’s 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. Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Responsibilities: Position responsibilities and expectations · Designing and building analytical /DL/ ML algorithms using Python, R and other statistical tools. · Strong data representation and lucid presentation (of analysis/modelling output) using Python, R Markdown, Power Point, Excel etc. · Ability to learn new scripting language or analytics platform. Technical Skills required (must have) · HandsOn Exposure to Generative AI (Design, development of GenAI application in production) · Strong understanding of RAG, Vector Database, Lang Chain and multimodal AI applications. · Strong understanding of deploying and optimizing AI application in production. · Strong knowledge of statistical and data mining techniques like Linear & Logistic Regression analysis, Decision trees, Bagging, Boosting, Time Series and Non-parametric analysis. · Strong knowledge of DL & Neural Network Architectures (CNN, RNN, LSTM, Transformers etc.) · Strong knowledge of SQL and R/Python and experience with distribute data/computing tools/IDEs. · Experience in advanced Text Analytics (NLP, NLU, NLG). · Strong hands-on experience of end-to-end statistical model development and implementation · Understanding of LLMOps, ML Ops for scalable ML development. · Basic understanding of DevOps and deployment of models into production (PyTorch, TensorFlow etc.). · Expert level proficiency algorithm building languages like SQL, R and Python and data visualization tools like Shiny, Qlik, Power BI etc. · Exposure to Cloud Platform (Azure or AWS or GCP) technologies and services like Azure AI/ Sage maker/Vertex AI, Auto ML, Azure Index, Azure Functions, OCR, OpenAI, storage, scaling etc. Technical Skills required (Any one or more) · Experience in video/ image analytics (Computer Vision) · Experience in IoT/ machine logs data analysis · Exposure to data analytics platforms like Domino Data Lab, c3.ai, H2O, Alteryx or KNIME · Expertise in Cloud analytics platforms (Azure, AWS or Google) · Experience in Process Mining with expertise in Celonis or other tools · Proven capability in using Generative AI services like OpenAI, Google (Gemini) · Understanding of Agentic AI Framework (Lang Graph, Auto gen etc.) · Understanding of fine-tuning for pre-trained models like GPT, LLaMA, Claude etc. using LoRA, QLoRA and PEFT technique. · Proven capability in building customized models from open-source distributions like Llama, Stable Diffusion Mandatory skill sets: AI chatbots, Data structures, GenAI object-oriented programming, IDE, API, LLM Prompts, Streamlit Preferred skill sets: AI chatbots, Data structures, GenAI object-oriented programming, IDE, API, LLM Prompts, Streamlit Years of experience required: 3-10 Years Education qualification: BE, B. Tech, M. Tech, M. Stat, Ph.D., M.Sc. (Stats / Maths) Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master Degree, Bachelor of Engineering, Bachelor of Technology Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Generative AI Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, Analytical Thinking, C++ Programming Language, Communication, Complex Data Analysis, Creativity, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Embracing Change, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Learning Agility, Machine Learning {+ 25 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Responsibilities: Position responsibilities and expectations · Designing and building analytical /DL/ ML algorithms using Python, R and other statistical tools. · Strong data representation and lucid presentation (of analysis/modelling output) using Python, R Markdown, Power Point, Excel etc. · Ability to learn new scripting language or analytics platform. Technical Skills required (must have) · HandsOn Exposure to Generative AI (Design, development of GenAI application in production) · Strong understanding of RAG, Vector Database, Lang Chain and multimodal AI applications. · Strong understanding of deploying and optimizing AI application in production. · Strong knowledge of statistical and data mining techniques like Linear & Logistic Regression analysis, Decision trees, Bagging, Boosting, Time Series and Non-parametric analysis. · Strong knowledge of DL & Neural Network Architectures (CNN, RNN, LSTM, Transformers etc.) · Strong knowledge of SQL and R/Python and experience with distribute data/computing tools/IDEs. · Experience in advanced Text Analytics (NLP, NLU, NLG). · Strong hands-on experience of end-to-end statistical model development and implementation · Understanding of LLMOps, ML Ops for scalable ML development. · Basic understanding of DevOps and deployment of models into production (PyTorch, TensorFlow etc.). · Expert level proficiency algorithm building languages like SQL, R and Python and data visualization tools like Shiny, Qlik, Power BI etc. · Exposure to Cloud Platform (Azure or AWS or GCP) technologies and services like Azure AI/ Sage maker/Vertex AI, Auto ML, Azure Index, Azure Functions, OCR, OpenAI, storage, scaling etc. Technical Skills required (Any one or more) · Experience in video/ image analytics (Computer Vision) · Experience in IoT/ machine logs data analysis · Exposure to data analytics platforms like Domino Data Lab, c3.ai, H2O, Alteryx or KNIME · Expertise in Cloud analytics platforms (Azure, AWS or Google) · Experience in Process Mining with expertise in Celonis or other tools · Proven capability in using Generative AI services like OpenAI, Google (Gemini) · Understanding of Agentic AI Framework (Lang Graph, Auto gen etc.) · Understanding of fine-tuning for pre-trained models like GPT, LLaMA, Claude etc. using LoRA, QLoRA and PEFT technique. · Proven capability in building customized models from open-source distributions like Llama, Stable Diffusion Mandatory skill sets: AI chatbots, Data structures, GenAI object-oriented programming, IDE, API, LLM Prompts, Streamlit Preferred skill sets: AI chatbots, Data structures, GenAI object-oriented programming, IDE, API, LLM Prompts, Streamlit Years of experience required: 3-10 Years Education qualification: BE, B. Tech, M. Tech, M. Stat, Ph.D., M.Sc. (Stats / Maths) Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Technology, Bachelor of Engineering, Master Degree Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Generative AI Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, Analytical Thinking, C++ Programming Language, Communication, Complex Data Analysis, Creativity, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Embracing Change, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Learning Agility, Machine Learning {+ 25 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation. *Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Responsibilities: Position responsibilities and expectations · Designing and building analytical /DL/ ML algorithms using Python, R and other statistical tools. · Strong data representation and lucid presentation (of analysis/modelling output) using Python, R Markdown, Power Point, Excel etc. · Ability to learn new scripting language or analytics platform. Technical Skills required (must have) · HandsOn Exposure to Generative AI (Design, development of GenAI application in production) · Strong understanding of RAG, Vector Database, Lang Chain and multimodal AI applications. · Strong understanding of deploying and optimizing AI application in production. · Strong knowledge of statistical and data mining techniques like Linear & Logistic Regression analysis, Decision trees, Bagging, Boosting, Time Series and Non-parametric analysis. · Strong knowledge of DL & Neural Network Architectures (CNN, RNN, LSTM, Transformers etc.) · Strong knowledge of SQL and R/Python and experience with distribute data/computing tools/IDEs. · Experience in advanced Text Analytics (NLP, NLU, NLG). · Strong hands-on experience of end-to-end statistical model development and implementation · Understanding of LLMOps, ML Ops for scalable ML development. · Basic understanding of DevOps and deployment of models into production (PyTorch, TensorFlow etc.). · Expert level proficiency algorithm building languages like SQL, R and Python and data visualization tools like Shiny, Qlik, Power BI etc. · Exposure to Cloud Platform (Azure or AWS or GCP) technologies and services like Azure AI/ Sage maker/Vertex AI, Auto ML, Azure Index, Azure Functions, OCR, OpenAI, storage, scaling etc. Technical Skills required (Any one or more) · Experience in video/ image analytics (Computer Vision) · Experience in IoT/ machine logs data analysis · Exposure to data analytics platforms like Domino Data Lab, c3.ai, H2O, Alteryx or KNIME · Expertise in Cloud analytics platforms (Azure, AWS or Google) · Experience in Process Mining with expertise in Celonis or other tools · Proven capability in using Generative AI services like OpenAI, Google (Gemini) · Understanding of Agentic AI Framework (Lang Graph, Auto gen etc.) · Understanding of fine-tuning for pre-trained models like GPT, LLaMA, Claude etc. using LoRA, QLoRA and PEFT technique. · Proven capability in building customized models from open-source distributions like Llama, Stable Diffusion Mandatory skill sets: AI chatbots, Data structures, GenAI object-oriented programming, IDE, API, LLM Prompts, Streamlit Preferred skill sets: AI chatbots, Data structures, GenAI object-oriented programming, IDE, API, LLM Prompts, Streamlit Years of experience required: 3-10 Years Education qualification: BE, B. Tech, M. Tech, M. Stat, Ph.D., M.Sc. (Stats / Maths) Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, Master of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Generative AI Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, Analytical Thinking, C++ Programming Language, Communication, Complex Data Analysis, Creativity, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Embracing Change, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Learning Agility, Machine Learning {+ 25 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation. *Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Responsibilities: Position responsibilities and expectations · Designing and building analytical /DL/ ML algorithms using Python, R and other statistical tools. · Strong data representation and lucid presentation (of analysis/modelling output) using Python, R Markdown, Power Point, Excel etc. · Ability to learn new scripting language or analytics platform. Technical Skills required (must have) · HandsOn Exposure to Generative AI (Design, development of GenAI application in production) · Strong understanding of RAG, Vector Database, Lang Chain and multimodal AI applications. · Strong understanding of deploying and optimizing AI application in production. · Strong knowledge of statistical and data mining techniques like Linear & Logistic Regression analysis, Decision trees, Bagging, Boosting, Time Series and Non-parametric analysis. · Strong knowledge of DL & Neural Network Architectures (CNN, RNN, LSTM, Transformers etc.) · Strong knowledge of SQL and R/Python and experience with distribute data/computing tools/IDEs. · Experience in advanced Text Analytics (NLP, NLU, NLG). · Strong hands-on experience of end-to-end statistical model development and implementation · Understanding of LLMOps, ML Ops for scalable ML development. · Basic understanding of DevOps and deployment of models into production (PyTorch, TensorFlow etc.). · Expert level proficiency algorithm building languages like SQL, R and Python and data visualization tools like Shiny, Qlik, Power BI etc. · Exposure to Cloud Platform (Azure or AWS or GCP) technologies and services like Azure AI/ Sage maker/Vertex AI, Auto ML, Azure Index, Azure Functions, OCR, OpenAI, storage, scaling etc. Technical Skills required (Any one or more) · Experience in video/ image analytics (Computer Vision) · Experience in IoT/ machine logs data analysis · Exposure to data analytics platforms like Domino Data Lab, c3.ai, H2O, Alteryx or KNIME · Expertise in Cloud analytics platforms (Azure, AWS or Google) · Experience in Process Mining with expertise in Celonis or other tools · Proven capability in using Generative AI services like OpenAI, Google (Gemini) · Understanding of Agentic AI Framework (Lang Graph, Auto gen etc.) · Understanding of fine-tuning for pre-trained models like GPT, LLaMA, Claude etc. using LoRA, QLoRA and PEFT technique. · Proven capability in building customized models from open-source distributions like Llama, Stable Diffusion Mandatory skill sets: AI chatbots, Data structures, GenAI object-oriented programming, IDE, API, LLM Prompts, Streamlit Preferred skill sets: AI chatbots, Data structures, GenAI object-oriented programming, IDE, API, LLM Prompts, Streamlit Years of experience required: 3-10 Years Education qualification: BE, B. Tech, M. Tech, M. Stat, Ph.D., M.Sc. (Stats / Maths) Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Engineering, Bachelor of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Generative AI Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, Analytical Thinking, C++ Programming Language, Communication, Complex Data Analysis, Creativity, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Embracing Change, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Learning Agility, Machine Learning {+ 25 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

Financial Analyst WHAT MAKES US, US Join some of the most innovative thinkers in FinTech as we lead the evolution of financial technology. If you are an innovative, curious, collaborative person who embraces challenges and wants to grow, learn and pursue outcomes with our prestigious financial clients, say Hello to SimCorp! At its foundation, SimCorp is guided by our values — caring, customer success-driven, collaborative, curious, and courageous. Our people-centered organization focuses on skills development, relationship building, and client success. We take pride in cultivating an environment where all team members can grow, feel heard, valued, and empowered. If you like what we’re saying, keep reading! WHY THIS ROLE IS IMPORTANT TO US The Financial Data Operator is responsible to perform the collection, composition, control and distribution of market and master data for financial instruments (Equities, Funds, Fixed Income, ABTS/MBS, OTS Derivatives, etc.) for various SimCorp clients and in accordance of the effective SLA agreements. Furthermore, this role is responsible for answering client questions and conduct all necessary data analyses of financial instruments data to resolve service delivery incidents to continue service delivery. The role is also responsible to adhere to all relevant operational risk as well as data governance and quality frameworks. Eventually, this role also requires demonstrating very client-focused mindset, substantial know- how of financial instruments (such as Equities, Fixed Income, ABS/MBS, etc.) and provide coaching to other members. WHAT YOU WILL BE RESPONSIBLE FOR Performs all daily service deliverables in terms of collecting, composing, controlling, and distributing financial instrument data according to effective client SLAs Execution of all quality checks part of the service scope and strict adherence to existing runbook(s) as well as data quality and governance frameworks and conduct first data analysis in case of unexpected data behavior Resolve all data questions, service requests and requested audit support raised by clients in a timely and professional manner to ensure customer satisfaction and SLA compliance Perform all necessary tasks to comply existing operational risk frameworks (e.g., Sarbanes– Oxley Act (SOX), Risk and Control Engine (RACE) etc.) Efficiently support and contribute to continuous improvement of operational processes (with predominant focus on manual processes, high-risk areas), data quality checks and system functionality Work with local/regional clients to identify specific requirements, special data treatment or any other client demands which need to be delivered as part of the service scope Experience working cross-organizationally with both Business and Technology groups. Perform continuous know-how exchange between the different Data Operations teams in terms of processes, incidents, documentation, or other open topics to avoid know-how silos/gaps and assure service level consistency Monitor and report any kind of issues along the data supply chain including but not limited to interface issues, missing data files or interrupted business processes and trigger the necessary resolution processes to ensure service delivery continuation Maintain documentation in terms of business processes, functional descriptions, operational runbooks, or other manuals to ensure information transparency and enable know-how transfers WHAT WE VALUE For the Financial Analyst position, we value MUST HAVE: Experience with data vendor feeds (Bloomberg, IDC, Reuters, etc.) and display products, 4- 5 years Deep knowledge of traditional and non-traditional financial instruments and markets including structured securities, Swaps, especially complex instruments like ABS/MBS, index linked bonds, and syndicated loans. Bachelor’s degree or equivalent in finance or engineering Solving master and reference data issues based on exception handling, 4-5 years Experience of data integration on any EDM platform, 4-5 years Applying operational data management and data governance, 2-3 years Process design and engineering experience, 2-3 years Experience with service request systems or any other similar ticketing tool, like HPALM, Service Now Salesforce, etc., 4-5 years GOOD TO HAVE: Ability to troubleshoot technical glitches in existing data process and coordinate with Technology team to resolve. Experience in developing process automation, improvements, and streamlining using tools like KNIME, Alteryx, Excel VBA with scripting on programming language such as Python, PowerShell including intermediate knowledge of SQL BENEFITS At SimCorp, we believe in rewarding and supporting our employees. We offer attractive salary package, including a robust bonus scheme, comprehensive healthcare (medical insurance, pension plans, and free transportation), and a major emphasis on work-life balance with flexible work hours and a hybrid work model. We are proud to be recognized as a "Great Place to Work" and are committed to encourage individual growth with personalized development plans and opportunities for career advancement. NEXT STEPS Please send us your application in English via our career site as soon as possible, we process incoming applications continually. Please note that only applications sent through our system will be processed. At SimCorp, we recognize that bias can unintentionally occur in the recruitment process. To uphold fairness and equal opportunities for all applicants, we kindly ask you to exclude personal data such as photo, age, or any non-professional information from your application. Thank you for aiding us in our endeavour to mitigate biases in our recruitment process. For any questions you are welcome to contact Swati Pal (Swati.pal@Simcorp.com), Talent Acquisition Partner, at email address. If you are interested in being a part of SimCorp but are not sure this role is suitable, submit your CV anyway. SimCorp is on an exciting growth journey, and our Talent Acquisition Team is ready to assist you discover the right role for you. The approximate time to consider your CV is three weeks. We are eager to continually improve our talent acquisition process and make everyone’s experience positive and valuable. Therefore, during the process we will ask you to provide your feedback, which is highly appreciated. WHO WE ARE For over 50 years, we have worked closely with investment and asset managers to become the world’s leading provider of integrated investment management solutions. We are 3,000+ colleagues with a broad range of nationalities, educations, professional experiences, ages, and backgrounds. SimCorp is an independent subsidiary of the Deutsche Börse Group. Following the recent merger with Axioma, we leverage the combined strength of our brands to provide an industry-leading, full, front-to[1]back offering for our clients. SimCorp is an equal-opportunity employer. We are committed to building a culture where diverse perspectives and expertise are integrated into our everyday work. We believe in the continual growth and development of our employees, so that we can provide best-in-class solutions to our clients. #Li-Hybrid

Req ID: 329385 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Supply Chain-Data & Analytics to join our team in Bengaluru, Karnātaka (IN-KA), India (IN). Title: Business Consulting Consultant Job Description As a Consultant/Sr. Consultant at NTT DATA Supply Chain Consulting, you join a team that helps craft supply chain strategies for the world’s largest and most dynamic firms. You will work in small teams of analytical thinkers and supply chain experts with a passion for problem solving. As part of a rapidly growing global firm, you will have opportunities to contribute, gain experience, learn, grow and advance in a stimulating small company environment. Responsibilities Your will be working with a project team from NTT DATA Supply Chain Consulting and our clients to design, manage, and deliver analysis-driven, actionable supply chain design/optimization recommendations. Your primary roles will be to perform data ETL (extract, transform, load), build supply chain optimization models/digital twins, execute & evaluate supply chain scenarios, perform data analytics on input data, optimization model outputs with the help of reports, visualization charts/dashboards. Client and/or other NTT DATA SCC team members can be in multiple geographies. Specific responsibilities include Work closely with the project manager to gather, transform, analyze, summarize, and report client data Contribute to the design of the optimization model; build models according to specifications Use tools like Tableau and PowerBI to draw insights from large data sets using KNIME, SQL, Alteryx etc Develop comprehensive output reports from optimization scenarios Work closely with the project manager to design, develop, and integrate material for client presentations and support the project manager during presentations to the client Engage and collaborate with client teams to identify data issues, solution review & acceptance Identify and communicate ways to improve NTT DATA Supply Chain Consulting analysis tools and techniques Identify and communicate issues that may impact project schedule or quality Learn client industry & business challenges Create content, solve problems using qualitative & quantitative methodsOwn discrete elements in the project and drive them to completion Develop and maintain positive client relationships Refine problem solving & consulting skills Support marketing (blogs, success stories) & talent acquisition Qualifications The ideal candidate will:Hold a Bachelor’s or Master’s degree or equivalent equivalent from a leading institution in Industrial Engineering, Operations Research, Supply Chain Management, Logistics, or related major; Have two or more years of experience in using quantitative methods to analyze supply chain decisions. Have expertise in tools/packages such as Excel, Access, Tableau, Power BI, Alteryx, R, SPSS, SQL, Python etc. Advanced skills in managing large data via relational databases is a plus Demonstrate a track record of playing a pivotal role on supply chain projects (focus on Supply Chain Design and Inventory Optimization is preferred) Preferably have experience with Optilogic, LLamasoft Supply Chain Guru, ToolsGroup SO99+, AIIMS, River logic, JDA Supply Chain Strategist, and/or IBM LogicNet Plus, or similar supply chain modeling environments for Network Design and Inventory Optimization Have experience of working with teams in multiple geographies and cultures Demonstrate strong analytical skills & critical thinking Possess excellent communication (written& verbal) and presentation skills Manage multiple tasks and priorities concurrently and work well under tight timelines Reside in or be willing to relocate to Bengaluru, Karnataka, India with some travel to client sites Consultants/Sr. Consultants at NTT DATA Supply Chain Consulting must be comfortable operating in these roles: Doer: Ability to successfully complete critical project deliverables adhering to project deadlines Communicator: Ability to understand & communicate requirements, gaps and analyses with internal and client teams performing your own data analysis as necessary Problem Solver: Ability to utilize problem-solving skills to work through difficult challenges About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here . If you'd like more information on your EEO rights under the law, please click here . For Pay Transparency information, please click here .

Req ID: 329385 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Supply Chain-Data & Analytics to join our team in Bengaluru, Karnātaka (IN-KA), India (IN). Title: Business Consulting Consultant Job Description As a Consultant/Sr. Consultant at NTT DATA Supply Chain Consulting, you join a team that helps craft supply chain strategies for the world's largest and most dynamic firms. You will work in small teams of analytical thinkers and supply chain experts with a passion for problem solving. As part of a rapidly growing global firm, you will have opportunities to contribute, gain experience, learn, grow and advance in a stimulating small company environment. Responsibilities Your will be working with a project team from NTT DATA Supply Chain Consulting and our clients to design, manage, and deliver analysis-driven, actionable supply chain design/optimization recommendations. Your primary roles will be to perform data ETL (extract, transform, load), build supply chain optimization models/digital twins, execute & evaluate supply chain scenarios, perform data analytics on input data, optimization model outputs with the help of reports, visualization charts/dashboards. Client and/or other NTT DATA SCC team members can be in multiple geographies. Specific responsibilities include Work closely with the project manager to gather, transform, analyze, summarize, and report client data Contribute to the design of the optimization model; build models according to specifications Use tools like Tableau and PowerBI to draw insights from large data sets using KNIME, SQL, Alteryx etc Develop comprehensive output reports from optimization scenarios Work closely with the project manager to design, develop, and integrate material for client presentations and support the project manager during presentations to the client Engage and collaborate with client teams to identify data issues, solution review & acceptance Identify and communicate ways to improve NTT DATA Supply Chain Consulting analysis tools and techniques Identify and communicate issues that may impact project schedule or quality Learn client industry & business challenges Create content, solve problems using qualitative & quantitative methodsOwn discrete elements in the project and drive them to completion Develop and maintain positive client relationships Refine problem solving & consulting skills Support marketing (blogs, success stories) & talent acquisition Qualifications The ideal candidate will:Hold a Bachelor's or Master's degree or equivalent equivalent from a leading institution in Industrial Engineering, Operations Research, Supply Chain Management, Logistics, or related major; Have two or more years of experience in using quantitative methods to analyze supply chain decisions. Have expertise in tools/packages such as Excel, Access, Tableau, Power BI, Alteryx, R, SPSS, SQL, Python etc. Advanced skills in managing large data via relational databases is a plus Demonstrate a track record of playing a pivotal role on supply chain projects (focus on Supply Chain Design and Inventory Optimization is preferred) Preferably have experience with Optilogic, LLamasoft Supply Chain Guru, ToolsGroup SO99+, AIIMS, River logic, JDA Supply Chain Strategist, and/or IBM LogicNet Plus, or similar supply chain modeling environments for Network Design and Inventory Optimization Have experience of working with teams in multiple geographies and cultures Demonstrate strong analytical skills & critical thinking Possess excellent communication (written& verbal) and presentation skills Manage multiple tasks and priorities concurrently and work well under tight timelines Reside in or be willing to relocate to Bengaluru, Karnataka, India with some travel to client sites Consultants/Sr. Consultants at NTT DATA Supply Chain Consulting must be comfortable operating in these roles: Doer: Ability to successfully complete critical project deliverables adhering to project deadlines Communicator: Ability to understand & communicate requirements, gaps and analyses with internal and client teams performing your own data analysis as necessary Problem Solver: Ability to utilize problem-solving skills to work through difficult challenges #LI-CDL About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

Financial Analyst What Makes Us, Us Join some of the most innovative thinkers in FinTech as we lead the evolution of financial technology. If you are an innovative, curious, collaborative person who embraces challenges and wants to grow, learn and pursue outcomes with our prestigious financial clients, say Hello to SimCorp! At its foundation, SimCorp is guided by our values — caring, customer success-driven, collaborative, curious, and courageous. Our people-centered organization focuses on skills development, relationship building, and client success. We take pride in cultivating an environment where all team members can grow, feel heard, valued, and empowered. If you like what we’re saying, keep reading! WHY THIS ROLE IS IMPORTANT TO US The Financial Data Operator is responsible to perform the collection, composition, control and distribution of market and master data for financial instruments (Equities, Funds, Fixed Income, ABTS/MBS, OTS Derivatives, etc.) for various SimCorp clients and in accordance of the effective SLA agreements. Furthermore, this role is responsible for answering client questions and conduct all necessary data analyses of financial instruments data to resolve service delivery incidents to continue service delivery. The role is also responsible to adhere to all relevant operational risk as well as data governance and quality frameworks. Eventually, this role also requires demonstrating very client-focused mindset, substantial know- how of financial instruments (such as Equities, Fixed Income, ABS/MBS, etc.) and provide coaching to other members. What You Will Be Responsible For Performs all daily service deliverables in terms of collecting, composing, controlling, and distributing financial instrument data according to effective client SLAs Execution of all quality checks part of the service scope and strict adherence to existing runbook(s) as well as data quality and governance frameworks and conduct first data analysis in case of unexpected data behavior Resolve all data questions, service requests and requested audit support raised by clients in a timely and professional manner to ensure customer satisfaction and SLA compliance Perform all necessary tasks to comply existing operational risk frameworks (e.g., Sarbanes– Oxley Act (SOX), Risk and Control Engine (RACE) etc.) Efficiently support and contribute to continuous improvement of operational processes (with predominant focus on manual processes, high-risk areas), data quality checks and system functionality Work with local/regional clients to identify specific requirements, special data treatment or any other client demands which need to be delivered as part of the service scope Experience working cross-organizationally with both Business and Technology groups. Perform continuous know-how exchange between the different Data Operations teams in terms of processes, incidents, documentation, or other open topics to avoid know-how silos/gaps and assure service level consistency Monitor and report any kind of issues along the data supply chain including but not limited to interface issues, missing data files or interrupted business processes and trigger the necessary resolution processes to ensure service delivery continuation Maintain documentation in terms of business processes, functional descriptions, operational runbooks, or other manuals to ensure information transparency and enable know-how transfers What We Value For the Financial Analyst position, we value MUST HAVE: Experience with data vendor feeds (Bloomberg, IDC, Reuters, etc.) and display products, 4- 5 years Deep knowledge of traditional and non-traditional financial instruments and markets including structured securities, Swaps, especially complex instruments like ABS/MBS, index linked bonds, and syndicated loans. Bachelor’s degree or equivalent in finance or engineering Solving master and reference data issues based on exception handling, 4-5 years Experience of data integration on any EDM platform, 4-5 years Applying operational data management and data governance, 2-3 years Process design and engineering experience, 2-3 years Experience with service request systems or any other similar ticketing tool, like HPALM, Service Now Salesforce, etc., 4-5 years GOOD TO HAVE: Ability to troubleshoot technical glitches in existing data process and coordinate with Technology team to resolve. Experience in developing process automation, improvements, and streamlining using tools like KNIME, Alteryx, Excel VBA with scripting on programming language such as Python, PowerShell including intermediate knowledge of SQL Benefits At SimCorp, we believe in rewarding and supporting our employees. We offer attractive salary package, including a robust bonus scheme, comprehensive healthcare (medical insurance, pension plans, and free transportation), and a major emphasis on work-life balance with flexible work hours and a hybrid work model. We are proud to be recognized as a "Great Place to Work" and are committed to encourage individual growth with personalized development plans and opportunities for career advancement. NEXT STEPS Please send us your application in English via our career site as soon as possible, we process incoming applications continually . Please note that only applications sent through our system will be processed. At SimCorp, we recognize that bias can unintentionally occur in the recruitment process. To uphold fairness and equal opportunities for all applicants, we kindly ask you to exclude personal data such as photo, age, or any non-professional information from your application. Thank you for aiding us in our endeavour to mitigate biases in our recruitment process. For any questions you are welcome to contact Swati Pal (Swati.pal@Simcorp.com) , Talent Acquisition Partner, at email address. If you are interested in being a part of SimCorp but are not sure this role is suitable, submit your CV anyway. SimCorp is on an exciting growth journey, and our Talent Acquisition Team is ready to assist you discover the right role for you. The approximate time to consider your CV is three weeks. We are eager to continually improve our talent acquisition process and make everyone’s experience positive and valuable. Therefore, during the process we will ask you to provide your feedback, which is highly appreciated. Who We Are For over 50 years, we have worked closely with investment and asset managers to become the world’s leading provider of integrated investment management solutions. We are 3,000+ colleagues with a broad range of nationalities, educations, professional experiences, ages, and backgrounds. SimCorp is an independent subsidiary of the Deutsche Börse Group. Following the recent merger with Axioma, we leverage the combined strength of our brands to provide an industry-leading, full, front-to[1]back offering for our clients. SimCorp is an equal-opportunity employer. We are committed to building a culture where diverse perspectives and expertise are integrated into our everyday work. We believe in the continual growth and development of our employees, so that we can provide best-in-class solutions to our clients.

Role Overview: We are looking for a highly skilled and experienced Business Analytics and Insights Manager to drive our data-driven business strategies, empower decision-making, and enhance customer experiences for our range of enterprise products. This role requires extensive experience in leveraging advanced analytics, predictive modelling, and data integration to provide actionable insights that align with business objectives. As a key contributor, you will establish methods and systems to predict business trends, forecast performance across product lines, and provide data-backed recommendations for improving revenue attainment, customer retention, and sales performance. You will also lead efforts to establish seamless integrations between data sources, data catalogue systems, and analytics tools to drive insights and innovation. Key Responsibilities: 1. Business Insights and Intelligence: Deliver actionable insights and dashboards using tools like Power BI, KNIME, Tableau, and similar analytics platforms. Communicate insights to Success Managers, Product Leaders, and Customer Experience Executives through engaging visualizations and data stories. Support leadership with data-driven recommendations to enhance decision-making and strategic planning. 1. Predictive Analytics and Forecasting: Analyze historical and real-time data to develop predictive models and forecasts for business value growth, revenue attainment, and customer experience improvement. Identify renewal trends, churn risks, and upsell/cross-sell opportunities through data-driven insights. Provide forward-looking recommendations to mitigate risks and optimize performance. 2. Data Integration and Management: Establish and manage integrations across data sources, including CRM platforms, customer journey tools, contract management systems, and support ticket databases, ensuring a unified data view. Build, maintain, and optimize data pipelines, warehouses, and catalog systems for scalable analytics. Implement robust data governance frameworks to ensure data integrity, accuracy, and security. 3. Advanced Analytics and AI/ML Enablement: Leverage advanced analytics platforms and AI/ML capabilities to generate predictive and prescriptive insights. Develop forecasting models to anticipate business trends, revenue outcomes, and customer behavior. Drive corrective and preventive strategies by translating analytics into operational and business actions. 5. Stakeholder Collaboration and Alignment: Collaborate with cross-functional teams to understand business challenges and identify data solutions. Act as a trusted advisor to senior leadership by providing strategic insights aligned with business objectives. Foster a culture of data-driven decision-making across teams and departments. Qualifications and Skills: Education: Bachelor’s or Master’s degree in Statistics, Computer Science, Data Science, Business Analytics, or a related field. Experience: 13–15 years of experience in data analytics, business intelligence, or related domains, with expertise in predictive analytics and forecasting. Experience working in a B2B SaaS environment or similar industries. Experience in data driven product management and analytics will be preferred Technical Expertise: Proficiency in analytics and visualization tools like Power BI, KNIME, Tableau, or Looker. Expertise in AI/ML platforms and programming languages (e.g., Python, R, TensorFlow). Strong understanding of data management, data catalog systems, and governance frameworks. Functional Knowledge: Deep understanding of customer lifecycle management, renewal trends, and business performance metrics. Proven ability to forecast business outcomes and identify opportunities for growth and customer satisfaction improvement. Strong ability to translate data into actionable insights that drive strategy and performance improvement.

About the Role This is a senior leadership position within Business Information Management Practice. The individual is responsible for the overall vision, strategy, delivery and operations of key accounts in BIM. This requires working closely with global executive team, subject matter experts, solution architects, project managers and client teams to conceptualize, build and operate Big Data Solutions. Communicate with internal management, client sponsors and senior leaders on the project status, risks, solution, etc. Responsibilities Client Delivery Leadership Role Candidate to be responsible for delivering at least $10 M + revenue using information management solution(s): Big Data, Data Warehouse, Data Lake, GEN AI, Master Data Management System, Business Intelligence & Reporting solutions, IT Architecture Consulting, Cloud Platforms (AWS/AZURE), SaaS/PaaS based solutions Practice and Team Leadership Role: Self-Driven for results - Able to take initiative and set priorities; pursue tasks tenaciously & with a need to finish. Able to overcome setbacks which may occur along the way. Customer Focus - Dedicated to meeting the expectations of internal and external clients. Problem Solving - Uses rigorous logic and methods to solve difficult problems with effective solutions. Probes all fruitful sources for answers. Is excellent at honest analysis. Looks beyond the obvious and doesn’t stop at the first answers. Learning on the Fly - Learns quickly when facing new problems. A relentless and versatile learner. Proven ability to handle multiple projects/programs while meeting deadlines and documenting progress towards those deadlines. Excellent communication skills (must be able to interface with both technical and business leaders in the organization). Leadership Skills to Coach, mentor and develop senior and middle level staff. Develop the manager layers to be leaders of the future. Be known as a Thought Leader in a specific aspect of Information Management technology spectrum or Pharma domain. Direct the training & skill enhancement of the team, in line with pipeline opportunities. Ability to lead large RFP responses, design and implement the solution for proposals and customer decks. Assist in generating order pipeline, road shows, develop Go-to-market strategy for regions & verticals. Create market facing collaterals as per requirements. Able to write white paper, blogs, technical/functional point of view. Qualifications MBA in Business Management Bachelor of Computer Science Required Skills Candidate should have 18+ years of prior experience (preferably including at least 5 yrs in Pharma Commercial domain) in delivering customer focused information management solution(s): Big Data, Data Warehouse, Data Lake, Master Data Management System, Business Intelligence & Reporting solutions, IT Architecture Consulting, Cloud Platforms (AWS/AZURE), SaaS/PaaS based solutions. Should have successfully done 4-5 end to end DW implementations using technologies: Big Data, Data Management and BI technologies such as Redshift, Hadoop, ETL tools like Informatica/Matillion/Talend, BI tools like Qlik/MSTR/Tableau, Dataiku/Knime and Cloud Offerings from AWS/Azure. Ability to lead large RFP responses, design and implement the solution for proposals and customer decks. Should have led large teams of at least 100+ resources. Good communication, client facing and leadership skills. Hands on knowledge of databases, SQL, reporting solutions like BI tools or Excel/VBA. Preferred Skills Teamwork & Leadership Motivation to Learn and Grow Ownership Cultural Fit Talent Management Capability Building / Thought Leadership About the Company Axtria is a global provider of cloud software and data analytics to the Life Sciences industry. We help Life Sciences companies transform the product commercialization journey to drive sales growth and improve healthcare outcomes for patients. We are acutely aware that our work impacts millions of patients and lead passionately to improve their lives. Since our founding in 2010, technology innovation has been our winning differentiation, and we continue to leapfrog competition with platforms that deploy Artificial Intelligence and Machine Learning. Our cloud-based platforms - Axtria DataMax™, Axtria InsightsMax™, Axtria SalesIQ™, and Axtria MarketingIQ™ - enable customers to efficiently manage data, leverage data science to deliver insights for sales and marketing planning and manage end-to-end commercial operations. With customers in over 75 countries, Axtria is one of the largest global commercial solutions providers in the Life Sciences industry. We continue to win industry recognition for growth and are featured in some of the most aspirational lists - INC 5000, Deloitte FAST 500, NJBiz FAST 50, SmartCEO Future 50, Red Herring 100, and several other growth and technology awards. Axtria is looking for exceptional talent to join our rapidly growing global team. People are our biggest perk! Our transparent and collaborative culture offers a chance to work with some of the brightest minds in the industry. Axtria Institute, our in-house university, offers the best training in the industry and an opportunity to learn in a structured environment. A customized career progression plan ensures every associate is setup for success and able to do meaningful work in a fun environment. We want our legacy to be the leaders we produce for the industry. Will you be next?

Company Description HCL Software is a division of HCL Technologies (HCL) that operates its primary software business. It develops, markets, sells, and supports over 20 product families in the areas of Customer Experience, Digital Solutions, Security & Automation and DevOps. Its mission is to drive ultimate customer success with their IT investments through relentless innovation of its products. As Data Scientist/Researchers you will be responsible for leveraging the established architecture disciplines to help ensure that business strategies align with powerful capabilities of AI/ML to achieve business objectives consistently and cost effectively. We are looking for experience of 10 to 15 years only. Please apply only if you match the experience level Location- Bangalore and Noida. Please share CV to monica_sharma@hcl-software.com with the below details: Total Experience- Current CTC- Expected CTC- Notice Period- Main Responsibilities Propose solutions and strategies to tackle business challenges in AI/ML product Operationalizing and architecting ML/AI solutions Qualifications, Education and Experience: Phd, Masters or Bachelor’s degree in Computer Science, Electrical Engineering, Statistics, Mathematics with at least 10+ years in ML/AI Ability to prototype statistical analysis and modeling algorithms and apply these algorithms for data driven solutions to problems in new domains. Proven ability to rationalize disparate data sources and the ability to intuit the large picture within a dataset Experience in solving client's analytics problems and effectively communicating results and methodologies Software development skills in one or more scripting language preferably python, and common ML tools (Weka, R, RapidMiner, KNIME, scikit, AzureML, Sagemaker, ModelBuilder etc.) Familiarity with ML tools and packages like OpenNLP, Caffe, TensorFlow etc. Knowledge of MLOps pipeline Knowledge of machine learning and data mining techniques in one or more areas of statistical modeling methods Anomaly detection Regression, classification, clustering Deep learning Survival analysis Similarity and recommendation Forecasting Strong oral and written communication skills, including presentation skills Strong problem solving and troubleshooting skills

Hyderabad, India Chennai, India Job ID: R-1052028 Apply prior to the end date: July 31st, 2025 When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. At our core, we are dedicated to enriching lives by bridging the gap between individuals and premium wireless experiences that not only meet but exceed expectations in value and quality. We believe that everyone deserves access to seamless, reliable, and affordable wireless solutions that enhance their day-to-day lives, connecting them to what matters most. By joining our team, you'll play a pivotal role in this mission, working towards delivering innovative, customer-focused solutions that open up a world of possibilities. We're not just in the business of technology; we're in the business of connecting people, empowering them to explore, share, and engage with the world around them in ways they never thought possible. Building on our commitment to connect people with quality experiences that offer the best value in wireless, let's delve deeper into how we strategically position our diverse portfolio to cater to a broad spectrum of needs and preferences. Our portfolio, comprising 11 distinct brands, is meticulously organized into five families, each designed to address specific market segments and distribution channels to maximize reach and impact. Total by Verizon & Verizon Prepaid : At the forefront, we have Total by Verizon and Verizon Prepaid, our flagship brands available at Verizon exclusive and/or national/retail stores. Verizon Prepaid continues to maintain a robust and loyal consumer base, while Total by Verizon is on a rapid ascent, capturing the hearts of more customers with its compelling offerings. Straight Talk, TracFone, and Walmart Family Mobile : Straight Talk, Tracfone, and Walmart Family Mobile stand as giants in our brand portfolio, boasting significant presence in Walmart. Their extensive reach and solidified position in the market underscore our commitment to accessible, high-quality wireless solutions across diverse retail environments. Visible : Visible, as a standalone brand family, caters to the digitally-savvy, single-line customers who prefer streamlined, online-first interactions. This brand is a testament to our adaptability, embracing the digital evolution of customer engagement. Simple Mobile : Carving out a niche of its own, Simple Mobile shines as the premier choice among authorized resellers. Its consistent recognition as the most carried brand in Wave7 Research’s prepaid dealer survey for 36 consecutive quarters speaks volumes about its popularity and reliability. SafeLink : SafeLink remains dedicated to serving customers through government subsidies. With a strategic pivot towards Lifeline in the absence of ACP, SafeLink continues to fulfill its mission of providing essential communication services to those in need. Join the team that connects people with quality experiences that give them the best value in wireless. What You’ll Be Doing: Identifying macro trends, explain drivers behind favorability/unfavorability to targets and help build narratives around disconnect/revenue performance. Responsible for assisting in how the Value Base Management tracks and forecast customer behavior that will result in a prepaid phone disconnect across all Brands as well as Revenue growth. Contributing to the production of Value Disconnects forecast for Best View (monthly), Line-ofSight (weekly), Outlook (quarterly), and Long Range Plan (annually). Contributing to the production of Revenue Growth forecast, Step Rations, Plan Mix, Add on revenue. Developing and streamlining consolidation of forecast models to produce executive friendly slides focused on disconnect drivers Familiarizing yourself with Value’s data infrastructure and various data reporting source the team leverages. Tracking and investigate actual vs forecast variances to determine variance driver. Iterating on process improvements and automations that help us become more nimble, proficient, and data-driven in our decision-making. Integrating data from multiple sources into timely, accessible, and relevant reports, ensuring data quality and reliability. Assisting with ad-hoc projects / requests from senior leaders. What we’re looking for... You’ll need to have: Bachelor's degree or four or more years of work experience. Four or more years of relevant work experience. Experience working with complex data structures. Experience utilizing query tools such as SQL. Experience with forecasting data visualization tools such as Tableau, Qlik, Looker. Experience with streamline and automation in Google Sheets and Microsoft Excel. Experience with large data sets in Google Sheets and Microsoft Excel. Data Analytics Experience. Even better if you have one or more of the following: Advanced MS Excel skills with a deep understanding of model architecture, formula efficiency, pivot tables, and macros. Experience with forecasting data visualization tools such as Tableau, Qlik, Looker. Experience with ETL Tools (Knime, Talend, SSIS, etc). Data Mining experience. Data Modeling experience. Data Science background. #VALUESNONCDIO Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics. Apply Now Save Saved Open sharing options Share Related Jobs Senior Experience Specialist Save Miami, Florida, +2 other locations Product Retailer Performance Manager Save Denver, Colorado Sales Senior Client Partner-VCG Channel Management Save Basking Ridge, New Jersey, +7 other locations Sales Shaping the future. Connect with the best and brightest to help innovate and operate some of the world’s largest platforms and networks.

Company Description Dr. Reddy’s Laboratories Ltd. is a leading multinational pharmaceutical company based across global locations. Each of our 24,000 plus employees comes to work every day for one collective purpose: to accelerate access to affordable and innovative medicines because Good Health Can’t Wait . We started in 1984 with a modest investment, 20 employees and a bold vision. Today, we have research and development centres, manufacturing facilities or a commercial presence in 66 countries. For nearly four decades, we have stood for access, affordability and innovation based on the bedrock of deep science, progressive people practices and robust corporate governance. As the pharmaceutical industry evolves and undergoes disruption, we see an opportunity – to strengthen our core further (the next steps) and to build the future (the new bets). ‘The Next and the New’ is how we aim to continue to be the partner of choice – purpose-driven, future-ready and sustainable. Our aim is to reach over 1.5 Bn+ patients across the world by 2030 by growing our core businesses and building for the future with sustainability at the core of our purpose and strategy. Sustainability for us means operating in a manner that respects people, planet and purpose – helping us conserve precious resources, serve our patients, create value for stakeholders, give back to society, fulfil our potential and maintain our integrity and transparency Dr Reddy’s maintains a work environment, free from discrimination and is an equal opportunity employer. We are committed to employ & nurture all qualified diverse workforce without regard to race, colour religion, nationality, sex, age, disability status, genetics, sexual orientation, gender expression, citizenship or any other characteristic or classification protected by applicable law(s) of the country we operate in. We treasure every talent, and recognize merit and diversity in our organization. Job Description Job summary We are looking to hire a Lead - Data Analytics team ensuring continuous control monitoring, risk based insights for proactive management and higher risk oversight. Responsibilities include planning, conducting fieldwork, data analysis to provide sharp insights, validating samples, organizing work papers, interacting with stakeholders, preparing reports with observations and root cause analysis, and ensuring timely closure through effective follow-up. Role involves active participation in process understanding discussions, team handling, stakeholder management, providing insights to the management and knowledge-sharing activities within the team. Roles & Responsibilities Digital & Innovation: Prepare and execute digital strategy for Internal Audit and SOX including data analytics and audit lifecycle management tool. Develop and implement data analytics driven processes for digital audits, continuous control monitoring ensuring higher risk oversight and proactive actions. Continuous control monitoring: Ensure in depth business understanding and execute analytics reviews, allocated as per yearly plan, ensuring end to end timely and qualitative deliverables. Maintain comprehensive and effective documentation/work papers. Work with the Internal Audit team members to continuously define and outline the analytics needed for the internal audits. Develop the necessary analytics to support Internal Audit engagements and provide data insights. Reporting and Stakeholder management: Prepare impactful audit report along with detailed annexures, root cause, drive global CAPA (action plan), Effective stakeholder management to effectively highlight areas of improvement and recommendations including benchmarks. Ensure periodic updates with Senior Management and Audit Committee and ensure timely closure of identified gaps/areas of improvement. Drive higher adoption of exception reports by first and second line of defence ensuring effective controls and in time detection. Follow up for implementation of agreed actions to ensure effective control environment and timely risk mitigation. Team Management: Effective team management to drive qualitative outcomes and timely closure of audits. Foster a collaborative and inclusive team environment with overall target of highly motivated team. On the job training to team members to build a strong data analytics team enabling analytical mind-set and continuous control monitoring to drive meaningful data insights. Qualifications Educational qualification: Chartered Accountant with 7-12 years of experience in in Internal Audit and Data Analytics, preferably in a manufacturing industry, Certification in data analytics will be preferred. Hands on experience in implementation/execution of SAP ERP, Data Analytics tools such as Tableau, SQL/GBQ, Knime, visualization tools, project management etc. Strong understanding of Internal Financial Controls and fraud risk assessments. CIA/CISA/DISA certification is an advantage Behavioural skills: Ability to work independently, and lead data analytics/ cross-functional teams Proficiency in interpersonal skills, fostering positive relationships, influencing stakeholders, building strong connections and partnerships. Displays assertiveness, effectively expressing ideas and opinions while respecting others. Strong communication skills, facilitating clear and impactful interactions. Proficiency in report writing, conveying information in a clear and structured manner. Strong analytical skills, enabling effective problem-solving and decision-making. Additional Information About the Department Benefits Offered At Dr. Reddy’s we actively help to catalyse your career growth and professional development through personalised learning programs. The benefits you will enjoy at Dr. Reddy’s are on par with the best industry standards. They include, among other things and other essential equipment, joining & relocation support, family support (Maternity & Paternity benefits), learning and development opportunities, medical coverage for yourself and your family, life coverage for yourself. Our Work Culture Ask any employee at Dr. Reddy’s why they come to work every day and they’ll say, because Good Health Can’t Wait. This is our credo as well as the guiding principle behind all our actions. We see healthcare solutions not only as scientific formulations, but as a means to help patients lead healthier lives, and we’re always attuned to the new and the next to empower people to stay fit. And to do this, we foster a culture of empathy and dynamism. People are at the core of our journey over the last few decades. They have been supported by an enabling environment that buoys individual ability while fostering teamwork and shared success. We believe that when people with diverse skills are bound together by a common purpose and value system, they can make magic. For more details, please visit our career website at https://careers.drreddys.com/#!/

At PwC, our people in audit and assurance focus on providing independent and objective assessments of financial statements, internal controls, and other assurable information enhancing the credibility and reliability of this information with a variety of stakeholders. They evaluate compliance with regulations including assessing governance and risk management processes and related controls. Those in data, analytics and technology solutions at PwC will assist clients in developing solutions that help build trust, drive improvement, and detect, monitor, and predict risk. Your work will involve using advanced analytics, data wrangling technology, and automation tools to leverage data and focus on establishing the right processes and structures to enable our clients to make efficient and effective decisions based on accurate information that is complete and trustworthy. Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Apply a learning mindset and take ownership for your own development. Appreciate diverse perspectives, needs, and feelings of others. Adopt habits to sustain high performance and develop your potential. Actively listen, ask questions to check understanding, and clearly express ideas. Seek, reflect, act on, and give feedback. Gather information from a range of sources to analyse facts and discern patterns. Commit to understanding how the business works and building commercial awareness. Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements. About The Job Introduction to PwC Service Delivery Center PricewaterhouseCoopers Acceleration Centre (Kolkata) Private Limited is a joint venture in India among members of the PricewaterhouseCoopers Network that will leverage the scale and capabilities of its network. It is a member firm of PricewaterhouseCoopers International Limited and has its registered office in Kolkata, India. The Delivery Center will provide a professional with an opportunity to work in a dynamic environment where you will have the ability to develop process and quality-based skills. To really stand out and make us fit for the future in a constantly changing world, each one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional, our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. The DET supports client engagement teams in the planning, execution, and delivery of various data enabled firm solutions. Within the DET, Data and ERP competencies are strategically organized to take advantage of natural synergies that drive more efficient, cost-effective solutions. The DET leverages professionals to optimize capabilities that drive the innovation and delivery of solutions that are standardized, repeatable and enabled with the best data and automation to ensure continued quality outcomes and the ability to deliver sustained, continuous improvement and innovation at scale. As an Associate, you will work as part of a team of problem solvers and help clients solve their complex business issues from strategy to execution. The candidate will report to an AC Manager. The AC team works as an extension of our overseas Engagement Teams and works closely with those teams as well as clients directly. Requirements Preferred Knowledge/Skills: Candidates must have a bachelor's degree in any reputable tertiary organization to join as campus hires. Basic knowledge and understanding of financial risk management, operational risk management, and compliance requirements. Strong verbal, written, and interpersonal communication skills. Good analytical skills with high attention to detail and accuracy. Good knowledge of Microsoft suite tools (e.g. Word, Excel, Access, PowerPoint). Functional Skills Hands on experience with Data management as per business requirements for Analytics or audit analytics. Experience in dealing with financial data, journal entry testing, and data analytics for business processes. Experience in performing data transformation (ETL), data quality checks, and data blending. Demonstrates good knowledge and understanding of performing on project teams and providing deliverables. Involving multiphase data analysis related to the evaluation of compliance, finance, and risk issues. Technical Tools Must have: Hands-on experience with MS-SQL / ACL or other structured query language. Demonstrates good knowledge and/or a proven record of success leveraging data manipulation and analysis technologies inclusive of Microsoft SQL Server, SQL, Oracle, or DB2. Demonstrates knowledge in Excel and its functionality. Good To Have Experience in a similar role in their current profile. Good accounting knowledge and experience in dealing with financial data are a plus. Knowledge of Azure Databricks / Alteryx / Python / SAS / Knime. Demonstrates good knowledge and / or proven record of success leveraging data visualization tools such as Power BI and Tableau. Education/Qualification Preferred BCA/ MCA/ B.Tech / M.Tech or equivalent 1+ years of experience in Data Analytics / Data Migration / Data Transformation Certification in Data Analytics / Data Science

When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. At our core, we are dedicated to enriching lives by bridging the gap between individuals and premium wireless experiences that not only meet but exceed expectations in value and quality. We believe that everyone deserves access to seamless, reliable, and affordable wireless solutions that enhance their day-to-day lives, connecting them to what matters most. By joining our team, you'll play a pivotal role in this mission, working towards delivering innovative, customer-focused solutions that open up a world of possibilities. We're not just in the business of technology; we're in the business of connecting people, empowering them to explore, share, and engage with the world around them in ways they never thought possible. Building on our commitment to connect people with quality experiences that offer the best value in wireless, let's delve deeper into how we strategically position our diverse portfolio to cater to a broad spectrum of needs and preferences. Our portfolio, comprising 11 distinct brands, is meticulously organized into five families, each designed to address specific market segments and distribution channels to maximize reach and impact. Total by Verizon & Verizon Prepaid: At the forefront, we have Total by Verizon and Verizon Prepaid, our flagship brands available at Verizon exclusive and/or national/retail stores. Verizon Prepaid continues to maintain a robust and loyal consumer base, while Total by Verizon is on a rapid ascent, capturing the hearts of more customers with its compelling offerings. Straight Talk, TracFone, and Walmart Family Mobile: Straight Talk, Tracfone, and Walmart Family Mobile stand as giants in our brand portfolio, boasting significant presence in Walmart. Their extensive reach and solidified position in the market underscore our commitment to accessible, high-quality wireless solutions across diverse retail environments. Visible: Visible, as a standalone brand family, caters to the digitally-savvy, single-line customers who prefer streamlined, online-first interactions. This brand is a testament to our adaptability, embracing the digital evolution of customer engagement. Simple Mobile: Carving out a niche of its own, Simple Mobile shines as the premier choice among authorized resellers. Its consistent recognition as the most carried brand in Wave7 Research’s prepaid dealer survey for 36 consecutive quarters speaks volumes about its popularity and reliability. SafeLink: SafeLink remains dedicated to serving customers through government subsidies. With a strategic pivot towards Lifeline in the absence of ACP, SafeLink continues to fulfill its mission of providing essential communication services to those in need. Join the team that connects people with quality experiences that give them the best value in wireless. What You’ll Be Doing Identifying macro trends, explain drivers behind favorability/unfavorability to targets and help build narratives around disconnect/revenue performance. Responsible for assisting in how the Value Base Management tracks and forecast customer behavior that will result in a prepaid phone disconnect across all Brands as well as Revenue growth. Contributing to the production of Value Disconnects forecast for Best View (monthly), Line-ofSight (weekly), Outlook (quarterly), and Long Range Plan (annually). Contributing to the production of Revenue Growth forecast, Step Rations, Plan Mix, Add on revenue. Developing and streamlining consolidation of forecast models to produce executive friendly slides focused on disconnect drivers Familiarizing yourself with Value’s data infrastructure and various data reporting source the team leverages. Tracking and investigate actual vs forecast variances to determine variance driver. Iterating on process improvements and automations that help us become more nimble, proficient, and data-driven in our decision-making. Integrating data from multiple sources into timely, accessible, and relevant reports, ensuring data quality and reliability. Assisting with ad-hoc projects / requests from senior leaders. What We’re Looking For... You’ll need to have: Bachelor's degree or four or more years of work experience. Four or more years of relevant work experience. Experience working with complex data structures. Experience utilizing query tools such as SQL. Experience with forecasting data visualization tools such as Tableau, Qlik, Looker. Experience with streamline and automation in Google Sheets and Microsoft Excel. Experience with large data sets in Google Sheets and Microsoft Excel. Data Analytics Experience. Even better if you have one or more of the following: Advanced MS Excel skills with a deep understanding of model architecture, formula efficiency, pivot tables, and macros. Experience with forecasting data visualization tools such as Tableau, Qlik, Looker. Experience with ETL Tools (Knime, Talend, SSIS, etc). Data Mining experience. Data Modeling experience. Data Science background. #VALUESNONCDIO Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics.

We are looking for a skilled Data Integrity Manager with 8 to 10 years of experience in data engineering, based in Full Time. The ideal candidate will have a strong background in computer science and data analysis. Roles and Responsibility Mentor team members on coding standards, optimization, and debugging while conducting code and report reviews. Lead the development and implementation of rigorous testing protocols to ensure project reliability. Establish and refine standards for version control, documentation, and task tracking to improve productivity and data quality. Provide expert troubleshooting support in Python, MySQL, GitKraken, Tableau, and Knime, helping resolve complex technical issues. Guide the team in building scalable and reliable solutions to continually track and monitor data quality. Partner with data scientists, product managers, and data engineers to align data requirements, testing protocols, and process improvements. Job Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field. Strong ability to assess, validate, and ensure the integrity of large datasets. Expert-level skills in Python programming, including code optimization, debugging, and testing. Proficient in designing and implementing data validation frameworks. Critical thinking with a habit of asking "why" why anomalies exist, why trends deviate, and what underlying factors are at play. Meticulous attention to data nuances, capable of spotting subtle discrepancies. Advanced knowledge of Tableau and familiarity with Knime or similar data processing tools is a plus. Proven experience in designing and implementing testing protocols, including unit, integration, and performance testing. Experience leading code reviews and guiding team members in problem-solving and troubleshooting. Demonstrated ability to mentor and support junior and mid-level engineers, focusing on fostering technical growth and improving team cohesion. Ability to handle complex technical issues and serve as a key resource for team troubleshooting. Expertise in guiding others through debugging and technical problem-solving. Ability to clearly articulate technical challenges, propose effective solutions, and align cross-functional teams on project requirements, technical standards, and data workflows. Skilled in conveying complex ideas to both technical and non-technical stakeholders, ensuring transparency and collaboration. Documenting data issues, methodologies, and technical workflows for knowledge sharing. Stay updated on data engineering trends and foster a culture of continuous learning and process evolution within the team. Hands-on experience in building, maintaining, and optimizing ETL/ELT pipelines, including data transfer, transformation, and visualization, for real-world applications. Strong understanding of data workflows and ability to troubleshoot pipeline issues quickly with the ability to automate repetitive data processes to improve efficiency and reliability.

Operations Team Member - Support Services-Treasury Operations Job Role: Review the retail and wholesale portfolio every month with respect to delinquency / losses / fraud for the period underwritten. Portfolio Management based on accurate evaluation of portfolio performance, market developments and new product management imperatives. Design and implement risk assessment model for retail portfolio and wholesale portfolio. Preparation of monthly qualitative and quantitative risk assessment report and present to senior management. Preparation of loss forecasting model and reviewing the same on Qtrly basis. Qtrly analysis of LWO written off in past qtr and present the report to the senior management with highlighting the learning and recommendation for change in Policy. Regulatory compliance and interactions with various teams. Aid conduct of audit (statutory/internal/operational risk etc.) and help closure of points to satisfaction without any adverse comments. Support new product launches and identity the risk involved in new product launches. Support business by rolling out regular test programs and convert them into policy basis defined success criterion Job Requirements: Technical Knowledge : Candidate should have expertise in working in SAP BO, SQL, MS Access, MS excel , Power point & VBA Macros. Expert presentation skill for various management committees. Expert in MS Excel & Access. Co-ordinate & working on automation of various MIS, management dashboards and tools for portfolio monitoring. Candidate should be able to coordinate with IT Team for getting the processes automated. Candidate should be able to conduct UAT / testing and report the changes required in systems available. Candidate should have expertise in working in Analytics tools like R, SAS, Knime, Pentaho. Candidate should have expertise in working in SQL and Microsoft office programs tools viz Excel Ac.cess and Power Point. Market Research : Check and keep track on industry trends, key factors impacting industry. Highlight the best practice followed by the market. Candidate should be well versed with the risk involved in secured lending and unsecured retail lending business. Candidate should understand internal & external factors affecting the business. Communication Skills: Candidate should be good communicator and should be able to make understand his point to others. Candidate should be confident with communicating with different audiences, from the board of directors to individual employees. Should be fluent in English. Candidate should have 4-5 yrs of work experience of MIS Automation and expert skills of SAP BO , SQL, MS Access, MS excel & VBA Macros. Candidate should have good eye for details. Candidate should be comfortable and confident with calculations and numbers. Candidate should be having problem solving approach by way of bring creative ideas. MIS Automation Skills, Analytical skills, Presentation skills, Market research, Business understanding, Problem solving, Eye for details, Communication Skills, Technical acumen, Numeracy.

Role Description: Job Description: We are looking for a proactive Tax Data Analyst to join our team at BHI Center of Excellence in Bangalore. This role focuses on supporting global tax data reporting requirements and ensuring accurate submissions to tax authorities, as well as different tax data requests. Key Responsibilities: Prepare (tax) data upon different requests from internal/external stakeholders Assist in translating legislative tax data reporting requirements into technical specifications for tech teams Support the implementation process of (tax) data reporting systems and tools Assist in the operational aspects of (tax) data submission to tax authorities Respond to ad hoc tax data reporting requests from various (internal/external) stakeholders Ensure submitted (tax) data is accurate and compliant with all relevant requirements Collaborate with cross-functional teams to improve (tax) data reporting processes Stay informed about changes in tax regulations and their impact on data reporting Qualifications: Bachelor's degree in Accounting, Finance, or a related field 1-2 years of experience in tax reporting, data analysis, or related roles Basic understanding of global (tax) data reporting regulations [preferably] Strong analytical and problem-solving skills Proficiency in data management tools and tax reporting software [preferably] Ability to translate complex tax requirements into clear technical specifications [preferably] Strong communication skills, both written and verbal Ability to work effectively in a fast-paced, multinational environment Attention to detail and commitment to accuracy Preferred Skills: Experience with SAP S4/HANA and SAC Knowledge and experience with at least one data analysis language (e.g: SQL, Python, R, etc) Strong knowledge and experience on data analysis (e.g. intermediate-advanced level of Excel, Alteryx Certified, Tableau Prep, Knime, etc) Knowledge and experience using visualisation and BI tools (e.g. Tableau, Google Looker, MicroStrategy, PowerBI, etc) Knowledge of (tax) data reporting regulations [preferably] Familiarity with digital platforms business processes [preferably] Driven and results oriented personality Open to feedback and always looking for ways to improve own performance Able to understand details while keeping an eye on the bigger picture Analytical and curious mindset Strong interpersonal skills Open and friendly attitude

Associate Digital Innovation Engineer – Chemical Engineer Location : Chennai, India Required Language : English Employment Type : Permanent Seniority Level : Associate Travel : <10% Buckman is a privately held, global specialty chemical company with headquarters in Memphis, TN, USA, committed to safeguarding the environment, maintaining safety in the workplace, and promoting sustainable development. Buckman works proactively and collaboratively with its worldwide customers in pulp and paper, leather, and water treatment to deliver exceptional service and innovative specialty chemical solutions to help boost productivity, reduce risk, improve product quality, and provide a measurable return on investment. Buckman is in the middle of a digital transformation of its businesses and focused on building the capabilities and tools in support of this. Job Description We are looking for degreed chemical engineers to staff our remote monitoring team at our Chennai offices. You will be creating and using advanced tools to monitor our customer facilities around the world in the Paper, Water, Leather and Performance Chemicals sectors. The range of responsibilities of the remote monitoring team could include detecting, diagnosing and responding in real time to system anomalies, optimizing system performance remotely, assisting with installation and commissioning, handling device management, assisting with user acceptance testing etc. You will work with key stakeholders in the sales and service front to ensure we are managing systems consistently, and efficiently. Candidates will staff Night shifts on a rotating basis. If you like working for an entrepreneurial company with a Sustainability mission and digital ambitions at the core of its strategy, Buckman is the place for you. Basic Qualifications Bachelor's degree in Chemical Engineering, Environmental Engineering, Chemistry or related field from a reputed university 1-2 year of work experience in the chemical engineering field Strong communications skills in English and ability to work with global stakeholders effectively An aptitude to learn digital tools and technologies Preferred Qualifications 2+ years of experience in the chemical engineering field Hands-on work experience with open-source data analytics toolsets such as R, Python, MATLAB, etc. Background and expertise in one of the following areas: o Advanced use of tools like Excel o Exposure to data analytics and visualization platforms such as SAS, Rapidminer, PowerBI, KNIME, etc. o Software o Internet of Things applications Preferred Personality Traits A strong business focus, ownership and inner self-drive to solve real-world impactful problems with innovative digital solutions. Pleasant personality and collaborates easily with others Aims high and brings a sense of urgency and ownership to all tasks A life-long learner who constantly updates skills #LI-SS1

ADIE – Data Science Location : Chennai, India Required Language : English Employment Type : Full Time Seniority Level : Associate Travel : 10 % Buckman is a privately held, global specialty chemical company with headquarters in Memphis, TN, USA, committed to safeguarding the environment, maintaining safety in the workplace, and promoting sustainable development. Buckman works proactively and collaboratively with its worldwide customers in pulp and paper, leather, and water treatment to deliver exceptional service and innovative specialty chemical solutions to help boost productivity, reduce risk, improve product quality, and provide a measurable return on investment. Buckman is in the middle of a digital transformation of its businesses and focused on building the capabilities and tools in support of this. Job Description We are looking for experienced data science professionals to be part of the data science program. You will work closely with Buckman stakeholders to derive deep industry knowledge across leather, paper, water, and performance chemical industries. You will help develop a data strategy for the company including collection of the right data, creation of the data science project portfolio, partnering with external providers and augmenting capabilities with additional internal hires. A large part of the job is communicating and developing relationship with key stakeholders and subject matter experts to tee up proofs of concept projects to demonstrate how data science can be used to solve problems in unique and novel ways. In addition to the pure data science problems, you will be working closely with a multi-disciplinary team consisting of sensor scientists, software engineers, network engineers, mechanical/electrical engineers, and chemical engineers in the development, and deployment of IoT solutions. If you like working for an entrepreneurial company with a Sustainability mission and Digital ambitions at the core of its strategy, Buckman is the place for you. Basic Qualifications Bachelor’s or Master’s degree in Data Science/Data Analytics, Applied Mathematics, Statistics, Computer Science or related science and technical field. Experience in developing predictive and deep data analytics solutions and optimization scenarios involving expertise in data extraction, analysis, and visualization in the following areas: Hands-on work experience with open-source data analytics toolsets such as R, Python, etc. Proficiency with modern statistical modeling (regression, boosting trees, random forests, etc.), machine learning (text mining, neural network, NLP, etc.), optimization (linear optimization, nonlinear optimization, stochastic optimization, etc.) methodologies. Exposure to data analytics and visualization platforms such as SAS, Rapidminer, MATLAB, Minitab, PowerBI, KNIME, PowerApps, etc. Experience in cloud computing (Azure, AWS, etc.), data analytics architecture (Azure Machine Learning, Datalake analytics, Workbench, Stream Analytics, etc.) and data engineering technologies (Datalake, CosmosDB, Hadoop, SQL and No-SQL databases, etc.). A demonstrated record of success with a verifiable portfolio of data science problems tackled in different domains. Strong communications skills in English and ability to work with global stakeholders effectively. Preferred qualifications Experience in the specialty chemicals sector or similar industry An aptitude to learn new digital tools and technologies. Knowledge in quantitative modeling tools and statistical analysis. Background and exposure to Internet of Things applications, Software. Personality Traits Pleasant personality and collaborates easily with others. Aims high and brings a sense of urgency and ownership to all tasks. A life-long learner who constantly updates skills through online learning and other means. A strong business focus, ownership and inner self-drive to solve real-world impactful problems with innovative digital solutions. Ability to collaborate effectively with multi-disciplinary and passionate team members. #LI-SS1