4497 Data Science Jobs - Page 22

Career Area: Technology, Digital and Data : Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you'rejoining a global team who cares not just about the work we do but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don'tjust talk about progress and innovation here we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. JOB PURPOSE: The Lead Management Product team is hiring! Will you embrace that challenge The Lead Management Product Teams mission is to deliver qualitative sales and marketing leads through our digital application to our internal customersIndustries and Dealers in order to drive services revenue through our digital product. JOB DUTIES: At the Interface of Business and Analytics, the Lead Management analyst is a key player to connect these two worlds together. The Lead Management analyst main mission is to leverage various datasets and develop/sustain services leads in partnership with sales and marketing teams. The individual will also participate in specific projects aiming at further strengthening the lead management digital product. Responsibilities will include: Gather and implement business requirements for leads development Analyze feedback information to improve leads quality Provide business recommendations to internal partners based on quantitative and qualitative data Improvement, enhancement and development of specific dataset based on opportunities Drive processes improvement and automation of lead generation application Coordination with Data & BI Team Users data support and training The Lead Management analyst demonstrates excellent communication skills, being able to explain lead management analytics to customers with limited data knowledge and experience and at the same being able to interact with Data Engineers on technical details. He or she is a fast learner and is able to find creative ways to transform data into sales & marketing recommendations. Additionally, he or she should also exhibit strong planning and organization skills. If you: Like working in a challenging yet rewarding analytical international environment Truly believe that data can be translated into valuable and monetized information Like helping internal customers beyond initial requirements Want to grow and acquire new skills Do not hesitate to apply! Basic Requirements: Master or bachelors degree in finance, Accounting, Data Science, Engineering, Business administration, Economics, Marketing, Law, other Advanced SQL Knowledge Business Knowledge in a specific area or dealer exposure Excellent analytical skillsability to interpret data to solve business issues & vulgarize results for a large and diverse audience Ability to manipulate data and create meaningful visualization Aftermarket services understanding Basic programming skills in any language, preferably Python Top Candidates Will Also Have: Alteryx, Tableau and any data visualization software Advanced programming skills in any language Product knowledge, Applications knowledge, dealer knowledge Project management Track record of getting things done Fast learner Ability to work independently and reach out in a timely and relevant manner Good communication & presentation skills Ability to influence other groups and teams Posting Dates: Caterpillar is an Equal Opportunity Employer. Not ready to applyJoin our Talent Community.

As a seasoned professional with 12-14 years of experience, you will be responsible for providing technical leadership in the design, development, and deployment of machine learning (ML) and artificial intelligence (AI) models for real-world applications. Your role will involve driving innovation by leveraging supervised, unsupervised, and deep learning algorithms to address complex business challenges. Additionally, you will offer technical guidance and hands-on support for Python-based ML development, model evaluation, and data pipelines. In the realm of team and project management, you will oversee a multidisciplinary team comprising data scientists, analysts, and ML engineers. Your duties will encompass mentoring team members, providing guidance, and reviewing project progress. Furthermore, you will be tasked with defining project scope, establishing timelines, and ensuring deliverables are in line with business objectives. Your proficiency in Agile/Scrum methodologies will be crucial in ensuring timely project delivery with a focus on quality. Acting as a key liaison between data science teams and business/product stakeholders, you will play a pivotal role in translating business challenges into analytical problems and actionable insights. Your ability to present insights and technical concepts to executive leadership in a clear and strategic manner will be essential for effective collaboration and decision-making. Strategic planning will be a core aspect of your role, involving the development of a data science roadmap that aligns with the organization's broader goals. You will be responsible for identifying opportunities for AI/ML adoption, process automation, and optimization across various business functions. Additionally, evaluating new tools, platforms, and partnerships to enhance the data science capability will be a key focus area. Your primary skill set should include expertise in Data Science, with additional proficiencies in Python, Data Modeling, AI/ML Project Management, and Data Science. Your comprehensive experience and skill set will be instrumental in driving impactful data-driven solutions and fostering a culture of innovation within the organization.,

The Spec Analytics Intmd Analyst role is a developing professional position where you will independently handle most problems and have the freedom to solve complex issues. You will utilize your in-depth specialty knowledge along with industry standards to integrate with the team and achieve sub-function/job family objectives. Your role will involve applying analytical thinking and data analysis tools to make judgments and recommendations based on factual information with attention to detail. You will be dealing with variable issues that could have broader business impacts and will have a direct influence on the core activities of the business through close contact. Your communication and diplomacy skills will be crucial to exchange potentially complex information effectively. Responsibilities: - Working with large and complex data sets to evaluate, recommend, and support business strategies - Identifying and compiling data sets using tools like SQL and Access to predict, improve, and measure business outcomes - Documenting data requirements, data collection, processing, cleaning, and exploratory data analysis - Specializing in marketing, risk, digital, and AML fields - Assessing risk in business decisions with consideration for the firm's reputation and compliance with laws and regulations Skills and Experience: As a successful candidate, you should ideally have: - 5+ years of experience in data science, machine learning, or related fields - Advanced process management skills, detail-oriented, and organized - Curiosity and willingness to learn new skill sets, particularly in artificial intelligence - Strong programming skills in Python and proficiency in data science libraries such as scikit-learn, TensorFlow, PyTorch, and Transformers - Experience with statistical modeling techniques, data visualization tools, and GenAI solutions - Familiarity with agentic AI frameworks and MLOps Education: - Bachelors/University degree or equivalent experience This job description provides an overview of the work performed, and additional duties may be assigned as needed.,

Join us as an Assistant Vice President (AVP) Research where you play a crucial role in making informed investment decisions. Our Research team is dedicated to producing proprietary products, differentiated market analysis, and actionable investment ideas for sophisticated investors worldwide. We strive to integrate research disciplines, asset classes, and geographies to provide a comprehensive view of the financial landscape. As an AVP Research, your primary responsibility will be to leverage alternative data and data science methods in collaboration with finance domain experts to enhance financial research. You will also focus on developing and refining methods and infrastructure to streamline research production, ultimately increasing our efficiency over time. This will involve creating software solutions to automate repetitive analyses for team-wide access. Additionally, you will engage in long-term projects aimed at enhancing our research capabilities, such as developing neural language models and pioneering new bias adjustment methods. Successful candidates for this role must possess strong interpersonal skills as they will work closely with global team members and analysts. Effective communication of technical concepts to both technical and non-technical audiences through written and oral channels is essential for this position. Key Responsibilities: - Collaborate on short research projects for publication on Barclays research platform. - Integrate new data sets and develop software to optimize their usability. - Inform analysis designs, particularly in causal and statistical inference. - Apply machine learning methods strategically to enhance research outcomes. - Propose and implement innovative methods for longer-term projects with high potential impact on financial research. Desirable Skillsets: - Proficiency in data analysis and machine learning. - Familiarity with data pipelining, automation, PySpark, SQL, and statistical applications. - Strong communication skills demonstrated through written publications. - Expertise in causal and statistical inference, including observational causal designs. - Previous experience in large-scale text analysis or geolocation data analysis. - Background in quantitative finance. Location: Nirlon Knowledge Park, Mumbai. This role is classified as a Certified position under the PRA & UK Financial Conduct Authority regulations, potentially requiring mandatory regulatory qualifications or minimum internal benchmarks. Purpose of the Role: To deliver differentiated market insights and actionable ideas through research to Barclays Clients. Key Accountabilities: - Analyze market, sector, corporate, and economic data to formulate investment theses for coverage universe. - Present research views to clients through various channels including face-to-face interactions, events, and written communications. - Engage with internal stakeholders to raise awareness of research insights. - Provide insights and research views to internal clients to navigate financial markets effectively. - Collaborate with compliance and supervisory analysts to ensure compliant delivery of research. Assistant Vice President Expectations: - Advise and influence decision-making, contribute to policy development, and ensure operational effectiveness. - Lead complex tasks, setting objectives, coaching employees, and driving performance outcomes. - Foster a collaborative environment, provide guidance on assignments, and identify new directions for projects. - Consult on complex issues, mitigate risks, and develop policies to enhance control and governance. - Engage in detailed data analysis, communicate complex information effectively, and influence stakeholders to achieve desired outcomes. All colleagues are expected to uphold Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, as well as demonstrate the Barclays Mindset of Empower, Challenge, and Drive.,

Hi, This is Laxmi from Harjai Computers Pvt. Ltd. (We are an ISO 9001: 20015 IT out Sourcing Company) We are currently providing IT Recruitment and Staffing Services to 200+ Companies which includes Cmm, Pcmm, Cmmi and reputed Mnc's in India and Abroad. Experience required 2+ Years Position : Data Scientist Notice Period Immediate to 7 days joiners Location - Mumbai - Kandivali Interested please email at laxmi.suryavanshi@harjai.com & send below details Current CTC Expected CTC Notice Period Location Preferences Please forward this mail to your friends !!!

You will be joining a company that specializes in Identity and Access Management (IAM) and Customer Identity and Access Management (CIAM), offering advanced solutions to enhance security for your workforce, customers, and partners. The company also provides cutting-edge security solutions for various popular CMS and project management platforms such as Atlassian, WordPress, Joomla, Drupal, Shopify, BigCommerce, and Magento. The solutions offered are precise, effective, and focused on improving overall security measures. As an AI/ML Engineer with our team, you will play a crucial role in developing innovative AI-powered products and solutions. The ideal candidate for this position should possess a minimum of 10 years of hands-on experience in creating and implementing advanced AI and ML models and related software systems. This is a full-time employee position based in Baner, Pune. Your responsibilities will include developing machine learning and deep learning models and algorithms to address complex business challenges, enhance processes, and improve product functionality. You will work on deploying personalized large language models (LLMs), developing systems for document parsing, named entity recognition (NER), retrieval-augmented generation (RAG), and chatbots, as well as building robust data and ML pipelines for production scalability and performance. Additionally, you will optimize machine learning models for better performance, scalability, and accuracy using techniques like hyperparameter tuning and model optimization. It is crucial to write high-quality, production-ready code using frameworks such as PyTorch or TensorFlow and stay updated on the latest advancements in AI/ML technologies and tools. To qualify for this role, you should hold a Bachelor's or Master's Degree in Computer Science, Data Science, Computational Linguistics, Natural Processing (NLP), or related fields. You must have extensive experience in developing and deploying machine learning models and algorithms, with proficiency in AI/ML frameworks such as TensorFlow, PyTorch, and scikit-learn. Strong programming skills in Python, Java, or C++ are necessary, along with familiarity with web frameworks like FastAPI, Flask, Django, and agentic AI frameworks such as LangChain, LangGraph, AutoGen, or Crew AI. Knowledge of Data Science and MLOps, including ML/DL, Generative AI, containerization (Docker), and orchestration (Kubernetes) for deployment is essential. Experience with cloud platforms like AWS, Azure, and GCP, as well as AI/ML deployment tools, is highly beneficial. In this role, you will have the opportunity to work with a team of talented individuals in a stable, collaborative, and supportive work environment. You will be constantly exposed to new technologies and have the chance to expand your skills and knowledge in the field of AI/ML. Your communication and collaboration skills will be put to the test as you collaborate with stakeholders to understand business requirements, define project objectives, and deliver AI/ML solutions that meet customer needs and drive business value.,

The Manager, Intelligent Automation and RPA will lead the development and scaling of Intelligent Automation (IA) capability to support the organization's growing analytics and intelligent automation demand. Responsibilities for this role will include defining and shaping the global IA demand pipeline across all of Supply Chain functions, prioritizing demands and completing discovery and feasibility assessment for each opportunity. The ideal candidate for this role will understand how various Intelligent Automation solutions integrate with each other as well as be able to identify the appropriate combination of IA solutions to solve specific business problems that drive the greatest business value. These solutions include but are not limited to Process Excellence, Robotic Process Automation, Optical Character Recognition and Artificial Intelligence. He/she should be aware of current and future market and technology developments inside and outside of the Intelligent Automation space through offerings, white papers, blogs, upskilling, and learning opportunities. Key Responsibilities - Lead and own end-to-end lifecycle of Intelligent Automation capability, focusing heavily on the process discovery aspects to build IA pipeline like opportunity assessment, business case analysis, feasibility assessment and active engagement with stakeholders - Drive roadshows around the Supply Chain organization to spread awareness around IA benefits - Partner with cross-functional SMEs to develop automation business cases and establish KPIs to measure process improvements - Gather, document, and analyze business requirements, process workflows, and data to identify areas for process improvement and automation - Develop comprehensive business and functional requirements documentation - Evaluate process complexity and support technical feasibility assessment - Provide regular updates on assessment progress and potential road blockers - Partner with the IT teams to deliver a stable and scalable fit-for-purpose IA solutions and provide inputs on refining existing implementation framework - Serve as the primary point of escalation for production issues or other roadblocks faced during implementation of intelligent automation solutions - Review the work of analysts and external partners to ensure the highest quality of work; provide coaching, feedback, and mentorship to team members Required Qualifications - Bachelor of Science or Bachelor of Engineering at a minimum - Minimum of 8-10 years of business experience with at least 3-5 years of Supply Chain, Intelligent Automation, or relevant functional experience required - Prior consulting experience required - 3-5 years of experience implementing automation capabilities, including robotics, workflow management, OCR, virtual agents, natural language processing, machine learning or emerging technologies - Experience delivering intelligent automation solutions, including discovery and requirements definition, solution architecture and design, development, testing, and production release Desired Qualifications - At least one year of direct people management / leadership experience - Certification within RPA domain is highly preferred (e.g., UI Path) - Experience in implementing automation technologies within a CPG business environment is preferred - Understanding of process improvement methodologies including lean thinking, continuous improvement is preferred - Hands-on technical knowledge of data science platforms and software technology as it is applied to business process is required - Experience in working with Microsoft Azure stack is preferred - Experience with acquisitions and divestitures is a plus If you are an individual with a disability, please check our Disability Assistance page for information on how to request an accommodation.,

As a Manager Program & Projects with over 10 years of experience, you will be responsible for leading high-impact tech initiatives across various domains. Your role will involve managing large-scale programs, overseeing project planning and execution, providing technical guidance on architecture and integration, and collaborating with stakeholders to ensure timely delivery and business alignment. Additionally, you will drive API integrations, scalable system designs, and performance optimization while mentoring and leading teams to foster collaboration and accountability. Key Responsibilities: - Lead end-to-end delivery of complex IT projects in Java development, Cloud, Data Science, and AI/ML domains. - Collaborate with stakeholders to ensure timely delivery and business alignment. - Oversee project planning, execution, timelines, and resource management. - Provide technical guidance on architecture, integration, and implementation. - Drive API integrations, scalable system designs, and performance optimization. - Mentor and lead teams, fostering collaboration and accountability. Key Requirements: - 10+ years of experience in program/project management within the tech domain. - Strong exposure to Java, cloud platforms (AWS/Azure/GCP), AI/ML, and data-centric solutions. - Excellent communication and client coordination skills, especially with international teams. - Proven ability to manage full project life cycles and drive delivery excellence. - Leadership mindset with a focus on team performance and continuous improvement. If you believe your skills and experience align with our requirements, please share your CV with us. Remember to include "Manager Program & Projects" in the subject line. Apply below.,

As an Industry & Functional AI Decision Science Consultant within the Accenture Strategy & Consulting Global Network - Data & AI practice, you will have the opportunity to work on high-visibility projects with esteemed Pharma clients worldwide. You will collaborate with leaders in strategy, industry experts, and business intelligence professionals to shape innovative solutions leveraging emerging technologies. Your role will involve supporting the delivery of consulting projects, developing assets and methodologies, and working on a variety of projects such as Data Modeling, Data Engineering, Data Visualization, and Data Science. Additionally, you will be expected to acquire new skills that are applicable across different industry groups, support strategies and operating models, and make presentations to clients when necessary. We are seeking individuals with a Bachelor's or Master's degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or a related quantitative field. The ideal candidate will have proven experience working on Life Sciences, Pharma, or Healthcare projects, with a solid understanding of Pharma datasets including commercial, clinical, Real World Evidence (RWE), and Electronic Medical Records (EMR). Proficiency in Statistical Models, Machine Learning, hypothesis testing, multivariate statistical analysis, and optimization is essential, along with hands-on experience in handling datasets like Komodo, RAVE, IQVIA, Truven, and Optum. Strong programming skills in languages such as R, Python, SQL, and Spark are required, as well as experience with cloud platforms like AWS, Azure, or Google Cloud for deploying language models. Familiarity with Data Visualization tools like Tableau, Power BI, Qlikview, or Spotfire is advantageous. In this role, you must possess excellent analytical and problem-solving skills, a data-driven mindset, proficiency in Excel, MS Word, PowerPoint, and strong communication, interpersonal, and presentation skills. Your ability to solve complex business problems, deliver client satisfaction, and build points of view on industry trends will be crucial to your success in this position. Join us in a culture committed to accelerating equality for all and engage in boundaryless collaboration across the organization.,

You will be responsible for designing, building, and deploying scalable NLP/ML models for real-world applications. Your role will involve fine-tuning and optimizing Large Language Models (LLMs) using techniques like LoRA, PEFT, or QLoRA. You will work with transformer-based architectures such as BERT, GPT, LLaMA, and T5, and develop GenAI applications using frameworks like LangChain, Hugging Face, OpenAI API, or RAG (Retrieval-Augmented Generation). Writing clean, efficient, and testable Python code will be a crucial part of your tasks. Collaboration with data scientists, software engineers, and stakeholders to define AI-driven solutions will also be an essential aspect of your work. Additionally, you will evaluate model performance and iterate rapidly based on user feedback and metrics. The ideal candidate should have a minimum of 3 years of experience in Python programming with a strong understanding of ML pipelines. A solid background and experience in NLP, including text preprocessing, embeddings, NER, and sentiment analysis, are required. Proficiency in ML libraries such as scikit-learn, PyTorch, TensorFlow, Hugging Face Transformers, and spaCy is essential. Experience with GenAI concepts, including prompt engineering, LLM fine-tuning, and vector databases like FAISS and ChromaDB, will be beneficial. Strong problem-solving and communication skills are highly valued, along with the ability to learn new tools and work both independently and collaboratively in a fast-paced environment. Attention to detail and accuracy is crucial for this role. Preferred skills include theoretical knowledge or experience in Data Engineering, Data Science, AI, ML, RPA, or related domains. Certification in Business Analysis or Project Management from a recognized institution is a plus. Experience in working with agile methodologies such as Scrum or Kanban is desirable. Additional experience in deep learning and transformer architectures and models, prompt engineering, training LLMs, and GenAI pipeline preparation will be advantageous. Practical experience in integrating LLM models like ChatGPT, Gemini, Claude, etc., with context-aware capabilities using RAG or fine-tuning models is a plus. Knowledge of model evaluation and alignment, as well as metrics to calculate model accuracy, is beneficial. Data curation from sources for RAG preprocessing and development of LLM pipelines is an added advantage. Proficiency in scalable deployment and logging tooling, including skills like Flask, Django, FastAPI, APIs, Docker containerization, and Kubeflow, is preferred. Familiarity with Lang Chain, LlamaIndex, vLLM, HuggingFace Transformers, LoRA, and a basic understanding of cost-to-performance tradeoffs will be beneficial for this role.,

As a Data Science Associate Director at Accenture Strategy & Consulting, Global Network Data & AI practice in the Resources team, you will be part of a dynamic group that helps clients grow their businesses through analytics and insights. Your role will involve working closely with clients and stakeholders to drive business growth, identify new opportunities, and develop advanced analytics models for various client problems. Your responsibilities will include solution architecture, design, deployment, and monitoring of analytics models, as well as collaborating with internal teams to drive sales and innovation. You will be expected to lead a team of data analysts, work on large-scale datasets, and provide thought leadership in key capability areas such as tools & technology and asset development. Qualifications and Experience: - Bachelor's/Masters degree in Mathematics, Statistics, Computer Science, Computer Engineering, or related field - 15+ years of experience as a Data Science professional focusing on cloud services - Strong knowledge of Statistical Modeling, Machine Learning algorithms, and Experimental design - Expertise in experimental test design and the ability to derive business strategies from statistical findings - Experience in Utilities, Energy, Chemical, and Natural Resources industries preferred - Proficiency in programming languages like Python, PySpark, SQL, or Scala - Implementation of MLOps practices for streamlining machine learning lifecycle - Understanding of data integration, data modeling, and data warehousing concepts - Excellent analytical, problem-solving, communication, and collaboration skills - Relevant certifications in Azure Data Services or cloud data engineering are highly desirable If you are a strategic thinker with excellent communication skills, a passion for innovation, and a drive to make a difference in the world of data science, we invite you to join our team at Accenture Strategy & Consulting.,

You are seeking a highly skilled and experienced Application Lead (Senior Software Developer) to join our team in Delhi, India. Working under the guidance of our Senior Director of Global Technology, you will be responsible for developing full-stack solutions and integrating them with Large Language Models (LLMs). Your background in coding, architecture, data analytics, and data science knowledge will be crucial for this role. Your responsibilities will include application design, development, maintenance, and sustainability in Room to Read. This involves collaborating with business owners to understand needs and statuses, and then creating valid and sustainable solutions. You will be a member of cross-functional teams, building technically focused relationships with key stakeholders to ensure a precise understanding of application needs. Additionally, you will optimize applications for business applicability and provide proactive ideas for better application design, development, and utilization aligned with business interests. Key Responsibilities: - Develop full-stack solutions to meet stakeholder needs. - Integrate software solutions with Large Language Models (LLMs). - Design and implement robust software architecture and frameworks. - Conduct data analytics to support organizational decisions and strategies. - Manage and maintain databases such as MySQL, MongoDB, and MSSQL. - Develop and deploy cloud-native applications. - Collaborate with cross-functional teams to design, develop, and deploy innovative software solutions. - Ensure scalability and reliability of software systems and applications. - Utilize DevOps practices for continuous integration and delivery. - Maintain and update backend and frontend languages including Python, Java, React, Node.js. - Design user interfaces and experiences using HTML, CSS, and UI/UX principles. Qualifications Required: - Bachelor's degree in Computer Science or related field from a reputed university or college. - Minimum of 4 years of experience in software development with a focus on full-stack solutions. - Strong background in coding, software architecture, and data analytics. - Sound knowledge of data science and database management (MySQL, MongoDB, MSSQL). - Proficiency in cloud-native application development. - Experience or knowledge in DevOps practices is a plus. - Proficiency in backend languages (Python, Java) and frontend languages (React, Node.js). - Experience in UI/UX design, including HTML and CSS. Preferred: - Excellent problem-solving skills and attention to detail. - Strong communication and teamwork abilities. - Ability to work independently and manage multiple projects. - Up-to-date knowledge of industry trends and advancements. Compensation: Room to Read offers a competitive salary with excellent benefits. You will have the opportunity to be part of an innovative and rapidly growing organization that is making a meaningful impact on literacy and gender equality in education.,

You will be working as a full-time Assistant Professor of Computer Science at St. Andrews Institute of Technology & Management in Gurugram. Your responsibilities will include teaching computer science courses, developing curriculum, conducting research in areas such as data science and cybersecurity, and handling programming related tasks. To excel in this role, you should possess a strong background in Computer Science, experience in curriculum development, knowledge of AI, ML, Data Science, and Cybersecurity, proficiency in programming languages, excellent communication, and interpersonal skills. The ability to work effectively in a team is crucial, and prior teaching experience would be advantageous.,

As an Assistant Professor in Computer Science Engineering at CT Group of Institutions, you will play a vital role in shaping the academic journey of undergraduate and postgraduate students. Your responsibilities will include teaching a variety of courses, updating the curriculum to meet industry standards, and conducting research in cutting-edge areas such as Data Science, Cybersecurity, and Programming. In this full-time on-site position based in Jalandhar, you will have the opportunity to mentor students, publish research papers, and actively contribute to the academic and administrative aspects of the department. Your expertise in Computer Science, Data Science, and Cybersecurity will be crucial in delivering high-quality education to students. Proficiency in programming and curriculum development is essential to ensure that the courses offered are in line with the latest advancements in the field. Having excellent teaching and mentoring skills will enable you to create a conducive learning environment for students, while your ability to conduct and publish research will contribute to the academic growth of the institution. A doctoral degree (Ph.D.) in Computer Science Engineering or a related field is preferred for this role, along with strong communication and interpersonal skills. If you have experience in a similar academic role, it will be considered an advantage as you take on this challenging and rewarding position at CT Group of Institutions. Join us in our commitment to excellence in education and be part of a dynamic team that is dedicated to providing education benchmarked against global standards.,

As a Managing Consultant in Business Experimentation at Mastercard's Advisors & Consulting Services group, you will play a key role in advising executives on business decisions using our industry-leading predictive analytics SaaS platform, Test & Learn. Your primary responsibility will be to work with clients to identify key priorities, design and conduct business experiments, and determine the effectiveness of various ideas to guide deployment strategies. In this role, you will lead client engagements across different industries, developing strategies and programs for regional and global clients by harnessing data science tools such as Test & Learn. You will be expected to cultivate strong relationships with mid-level to senior client stakeholders, assess client agendas, internal cultures, and readiness for change independently. Your expertise in analytics and technical subjects will be crucial in driving client success through the adoption and competency of Test & Learn. As a team leader, you will guide your team towards generating insightful business recommendations using Test & Learn, while also enhancing their skills and responsibilities. Collaboration with internal stakeholders at Mastercard is essential to scope projects, devise client solutions, and enhance the organization's intellectual capital. Additionally, you will be tasked with providing training, coaching, and mentorship to junior consultants to foster their professional growth. To qualify for this role, you should hold an undergraduate degree with analytical experience in consulting, analytics, or data science. Previous experience in coaching and managing teams, handling key client relationships, and understanding business KPIs and financials is required. Proficiency in analytical skills, problem-solving abilities, and proficiency in tools like Word, Excel, and PowerPoint are necessary. Effective communication in English and local office language (if applicable) is a must, along with eligibility to work in the country of application and travel as required. Preferred qualifications include additional data and analytics experience, expertise in data modeling and database management, visualization tools, or time series analysis. Prior experience in creating innovative solutions or possessing relevant industry expertise would be beneficial. An MBA or master's degree with specialization is preferred but not mandatory. At Mastercard, we prioritize corporate security responsibility. All employees are expected to adhere to security policies, maintain information confidentiality and integrity, report any security breaches, and participate in mandatory security training to mitigate risks associated with accessing Mastercard assets, information, and networks.,

Join us and contribute to the discovery of medicines that will impact lives! Aganitha is accelerating drug discovery and development for Biopharma and Biotech R&D with in silico solutions leveraging Computational Biology & Chemistry, High throughput Sciences, AI, ML, HPC, Cloud, Data, and DevOps. In silico solutions are transforming the biopharma and biotech industries. Our cross-domain science and technology team of experts embark upon and industrialize this transformation. We continually expand our world-class multi-disciplinary team in Genomics, AI, and Cloud computing, accelerating drug discovery and development. What drives us is the joy of working in an innovation-rich, research-powered startup bridging multiple disciplines to bring medicines faster for human use. We are working with several innovative Biopharma companies and expanding our client base globally. Read about how and what solutions we build. Aganitha, which means countless or limitless in Sanskrit, serves as a reminder and inspiration about the limitless potential in each one of us. Come join us to bring out your best and be limitless! Key Responsibilities: - Engage and co-innovate with R&D teams of our Biopharma clients, and collaborate with a team of Biologists, Medicinal Chemists, Computational Chemists, Computational Biologists, Data Scientists, Data Engineers, and Web Developers to create the next generation of innovative computational solutions for drug discovery and development. - Lead architecture initiatives from inception to completion - Design and oversee implementation of solutions for BioPharma R&D - Manage Engineering teams using Agile methodologies - Enhance reuse with platforms, frameworks, and libraries - Collaborate with business users to create architecture in alignment with a business need - Drive scope definition, requirements analysis, functional and technical design, application build, product configuration, unit testing, and production deployment and ensure delivered solutions meet/perform to technical and functional/non-functional requirements. - Champion the adoption of reusable architecture assets to improve efficiency - Produce documentation to aid in the understanding of existing architecture solutions - Advise our technical teams to optimize the recommended product suite in defining, building, and deploying end-to-end solutions - Lead the translation of the clients business requirements into systems design - Drive the development of prototypes and technology demonstrators within microservice architecture, cloud-native solutions - Design and document system installation and upgrade guides, specifications, and related standards and guide technical team, application specialists - Design application user guides, document common workflows, prepare training materials and conduct or participate in knowledge-sharing sessions with technical teams - Design future state reference architectures that will provide a template for teams to achieve security, scalability, reliability, and maintainability - Design and implement optimal deployment strategies and custom interfaces for integration with customer systems and technologies - Help customers tackle thorny technical issues by collaborating to create smart, efficient, and effective solutions - Work closely with customers on the installation, configuration, and update/maintenance of on-premises or cloud-hosted installations of our scientific computing and enterprise software applications - Collaborate with product managers, developers, and scientists, to improve the deployment, support, and configuration of our applications Desired Skills / Expertise: - Big data engineering with distributed computing frameworks - Cloud and DevOps automation - App dev with modern tech stacks of Python, ReactJS, and fit-for-purpose database technologies - Experience in directing/building solutions leveraging Machine learning (ML) and AI (Deep learning) - Excellent communication skills with a desire to work in multidisciplinary teams Educational Qualifications: - Bachelors / Masters / Ph.D. in Computer Science or related technical field,

You should be a graduate or post graduate in Computer Science/ IT Engineering from a recognized University / Institute. You must have at least 3 years of experience in works related to AI-ML based analytics/ processing of Videos. The job type is full-time and the work schedule is in the morning shift. The ideal candidate should have expertise in Data Analytics, Data Science, and AI-ML with a minimum of 3 years of experience. This position requires in-person work at the specified location. The application deadline is 20/09/2025, and the expected start date is 01/09/2025.,

As a Data Scientist at the AI/ML CoE of Cyient, you will be applying your expertise in artificial intelligence, machine learning, data mining, and information retrieval to design, prototype, and build next-generation advanced analytics engines and services. Your role will involve collaborating with business partners to define technical problem statements, developing efficient analytical models, and incorporating them into analytical data products or tools with the support of a cross-functional team. Your responsibilities will include collaborating with business partners to develop innovative solutions using cutting-edge techniques, effectively communicating the analytics approach to meet objectives, advocating for data-driven decision-making, and leading analytic approaches to integrate work into applications and tools with data engineers, business leads, analysts, and developers. You will also be responsible for creating dynamic and scalable models, engineering features by combining disparate data sources, and sharing your passion for Data Science with the broader enterprise community. To be successful in this role, you should have a Bachelor's degree in Data Science, Computer Science, Engineering, Statistics, or a related field, with 5+ years of experience or a graduate degree in a quantitative discipline with a demonstrated Data Science skill set and 2+ years of work experience. Proficiency in Python, complex SQL queries, and Machine Learning is essential, along with the ability to merge and transform internal and external data sets. Experience with Big Data technologies, data visualization tools, and supporting deployment and maintenance of models is desired. You should possess exceptional communication and collaboration skills, a bias for action, the ability to efficiently learn and solve new business domains and problems, and a healthy skepticism around the validity of data. Intellectual curiosity, humility, exemplary organizational skills, and the ability to coach, mentor, and collaborate with various stakeholders are also key attributes for this role.,

As a Commercial Operations Manager at Beghou Consulting, you will play a crucial role in leading strategic initiatives to enhance commercial operations for life sciences companies. With over 10-12 years of experience in life sciences commercial operations and analytics, you will have the opportunity to design and implement high-impact commercial strategies for top pharma clients, driving operational excellence and ensuring measurable client success. Your responsibilities will include: - Leading the design and delivery of commercial operations solutions in areas such as incentive compensation, commercial analytics, CRM, and data strategy. - Managing high-profile client relationships and serving as a trusted advisor to senior stakeholders. - Overseeing project portfolios, setting priorities, and driving innovation by integrating emerging trends and best practices. - Developing strategic frameworks for incentive compensation plans and guiding the creation of commercial analytics and dashboards. - Leading the deployment of proprietary platforms for CRM, field enablement, and operational tools. - Mentoring and developing high-performing teams and providing strategic guidance to consultants and analysts. - Building a collaborative culture and managing cross-functional teams in a global matrix environment. To be successful in this role, you should have: - A Graduate/Masters degree from a Tier-I/Tier-II institution with a strong academic record. - Proven experience in pharmaceutical commercial operations, with a focus on analytics, CRM, and data management. - Strategic expertise in areas such as incentive compensation, MDM, and field enablement. - Strong leadership skills and exceptional communication abilities. - Passion for innovation and knowledge of AI, data science, and emerging trends in pharma commercial operations. - Global collaboration experience and familiarity with analytics tools and platforms. At Beghou Consulting, we value our employees and provide a supportive, collaborative, and dynamic work environment that encourages both professional and personal growth. Join us to work with a team dedicated to delivering quality results for our clients and becoming leaders in sales and marketing analytics.,

As the Lead Data Scientist at Mastercard, you will have the opportunity to lead, mentor, and grow the data science team focused on developing production-grade services and capabilities. Your role will involve planning and directing data science and machine learning projects, designing and implementing machine learning models for various financial applications, and measuring, validating, implementing, monitoring, and improving the performance of both internal and external facing machine learning models. You will be expected to propose creative solutions to new challenges in the company, the financial industry, and data science, while effectively presenting technical problems and findings to business leaders and clients. Your responsibilities will also include leveraging best practices in machine learning and data engineering to develop scalable solutions, identifying areas where resources fall short of needs, and providing thoughtful and sustainable solutions to benefit the team. You should be a strong, confident, and excellent writer and speaker, capable of communicating your vision and roadmap effectively to a wide variety of stakeholders. To excel in this role, you should have at least 8 years of experience in data science and machine learning model development and deployments. Exposure to financial transactional structured and unstructured data, transaction classification, risk evaluation, and credit risk modeling is a plus. A strong understanding of NLP, Statistical Modeling, Visualization, and advanced Data Science techniques/methods is essential. Proficiency in SQL/Database operations is preferred, along with experience in technologies such as Kubernetes, Containers, Docker, REST APIs, Event Streams, and relevant tools like Tensorflow, Python, Sklearn, and Pandas. Moreover, you should have a strong desire to collaborate and come up with creative solutions, with additional experience in Finance and FinTech being beneficial. A Bachelors or Masters Degree in Computer Science, Information Technology, Engineering, Mathematics, or Statistics is preferred for this role. As part of Mastercard's corporate security responsibility, you will be expected to abide by the company's security policies and practices, ensure the confidentiality and integrity of accessed information, report any suspected information security violations or breaches, and complete all mandatory security trainings in accordance with Mastercard's guidelines. If you are passionate about leveraging data to provide high-quality customer solutions, possess strong technical leadership skills, and have an entrepreneurial mindset, then this Lead Data Scientist position at Mastercard could be the perfect opportunity for you to make a significant impact across various sectors of the economy.,

Role & responsibilities JD: Your main activities will be centralized around: Configuration of the domain concepts of the DataHub platform Implementation of rating calculation rules using R Align development with other Data Scientists Document Data mappings and configuration UnitTest of data ingestion flows and R computing functions Bugfixing and troubleshooting of issues Collaborate implementation with other software engineers Report to Project coordinator You are an experienced software engineer with: More then 5 years experience as a Data Scientist/Data Engineer Experience with implementations of statistical computing and data mining More then 5 years experience in R development and VS.Code Experience with a variety of database systems like SQL, Cassandra, Time Series DB, MongoDB Experience with Agile working in a DevOps team Knowledge of Azure Cloud components is a plus UTC time zone Preferred candidate profile

Are you an experienced data scientist with a passion for applying advanced analytics to organizational and people-related dataDo you want to help shape the future of work at a global, diverse company like InfineonJoin us as a Data Scientist - People Analytics and contribute to impactful projects that drive data-informed decisions across our HR landscape.This position is part of the newly established Data Analytics & Reporting Team within HR Digital, which belongs to HR People Services. Our vision is to empower HR to become a truly data-driven organization and to create tangible value from data for our people, our processes, and our business. In your new role you will: Evaluate, apply analytical methods and tools (eg, regression models/GLM, simulations, machine learning) to generate actionable diagnostic, predictive, and prescriptive insights. Collaborate with HR Global Functional Teams (GFT) (eg, Talent Acquisition, Talent Development, Organizational Effectiveness) to develop scalable analytical approaches across a variety of use cases. Contribute to making HR a data-driven organization by interpreting and communicating insights clearly to stakeholders and provide data-driven decision support to HR business partners and leaders. Identify and prepare relevant data sets to explore opportunities to enhance data quality and collection, and prepare data (eg, using Tableau Prep Builder ) for visualization. Identify innovative data science practices and defining data requirements. Document methodologies and best practices, and support the upskilling of key stakeholders through knowledge sharing. Actively contribute to the growth of our Data Scientist Community. You are best equipped for this task if you have: As a Data Scientist , you quickly absorb information, analyze it from multiple perspectives, and uncover meaningful patterns . You maintain a strategic view even in complex situations and support decision-making in uncertain environments. You are a collaborative team player who builds strong relationships with stakeholders. A degree focused on empirical or statistical methods, such as Economics, Computer Science, Machine Learning, Mathematics, or Statistics; ideally a Master s degree . 4-6 years of relevant experience in applying analytics in a business context . Strong expertise in advanced analytical methods and the ability to translate insights into actionable recommendations. Solid experience in empirical social research methods (eg, regression models/GLM, NLP, ML). Proficiency in Python or R and relevant libraries , along with hands-on experience using data visualization tools such as Tableau and Tableau Prep Builder. Experience leading or coordinating data science projects, ideally with exposure to People Analytics (a plus, but not required). Excellent command of English

The Go-To-Markets Data Analytics team is looking for a skilled Senior Data Engineer who is motivated to deliver top notch data-engineering solutions to support business intelligence, data science, and self-service data solutions. In this role as a Senior Data Engineer, you will: Design, develop, optimize, and automate data pipelines that blend and transform data across different sources to help drive business intelligence, data science, and self-service data solutions. Work closely with data scientists and data visualization teams to understand data requirements to ensure the availability of high-quality data for analytics, modelling, and reporting. Build pipelines that source, transform, and load data that s both structured and unstructured keeping in mind data security and access controls. Explore large volumes of data with curiosity and conviction. Contribute to the strategy and architecture of data management systems and solutions. Proactively troubleshoot and resolve data-related and performance bottlenecks in a timely manner. Be open to learning and working on emerging technologies in the data engineering, data science and cloud computing space. Have the curiosity to interrogate data, conduct independent research, utilize various techniques, and tackle ambiguous problems About You Must have at least 6-7 years of total work experience with at least 3+ years in data engineering or analytics domains. Graduates in data analytics, data science, computer science, software engineering or other data centric disciplines. SQL Proficiency a must. Experience with data pipeline and transformation tools such as dbt, Glue, FiveTran, Alteryx or similar solutions. Experience using cloud-based data warehouse solutions such as Snowflake, Redshift, Azure. Experience with orchestration tools like Airflow or Dagster. Preferred experience using Amazon Web Services (S3, Glue, Athena, Quick sight). Data modelling knowledge of various schemas like snowflake and star. Has built data pipelines and other custom automated solutions to speed the ingestion, analysis, and visualization of large volumes of data. Knowledge building ETL workflows, database design, and query optimization. Has experience of a scripting language like Python. Works we'll within a team and collaborates with colleagues across domains and geographies. Excellent oral, written, and visual communication skills. Has a demonstrable ability to assimilate new information thoroughly and quickly. Strong logical and scientific approach to problem-solving. Can articulate complex results in a simple and concise manner to all levels within the organization. What s in it For You Hybrid Work Model: we've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial we'llbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

Role & responsibilities Minimum 5 years of experience in designing and developing AI/ML models and/or various optimization algorithms. 10- 15 years of experience Solid foundation in mathematics, probability, and statistics with demonstrated depth of knowledge and experience in advanced analytics and data science methodologies (e.g. supervised and unsupervised learning, statistics, data science model development) Proficiency in Python and working knowledge of cloud AI/ML services (Azure Machine Learning and Databricks preferred) Domain knowledge relevant to the energy sector and working knowledge of Oil and Gas value chain (e.g., upstream, midstream, or downstream) and associated business workflows. Proven ability to frame data science opportunities, leverage standard foundational tools and Azure services to perform exploratory data analysis (for purposes of data cleaning and discovery), visualize data, and identify actions to reach needed results. Ability to quickly assess current state and apply technical concepts across cross-functional business workflows. Experience with driving successful execution, deliverables, and accountabilities to meet quality and schedule goals. Ability to translate complex data into actionable insights that drive business value. Demonstrated ability to engage and establish collaborative relationships both inside and outside immediate workgroup at various organizational levels, across functional and geographic boundaries to achieve desired outcomes. Demonstrated ability to adjust behaviour based on feedback and provide feedback to others. Team-oriented mindset with effective communication skills and the ability to work collaboratively

:Our client is Global IT Service & Consulting Organization Data Science Engineer Exp:5 -11 years Primary Skills: Data Science, Python, Machine Learning Mandatory Skills:Deep Learning/NLP, Computer Vision, Gen AI/LLM, Cloud (AWS / Azure / GCP) Core Skills:Python, NLP, LLMs, Data Science Must-Have:Experience with LLM-based Gen AI applications, prompt engineering, Langchain and/or Llama-index Nice-to-Have: BERTopic/Topic Modelling, HuggingFace, Responsible AI concepts Location- Pune Notice period: Immediate to 60 days F2F interview on 19th July ,Saturday in Pune location