661 Predictive Analytics Jobs - Page 3

About the Company: UptimeAI is leading the way in predictive analytics and AI-driven solutions to optimize operational uptime and reduce downtime for industrial and enterprise clients. Our innovative platform harnesses cutting-edge data science to deliver actionable insights, ensuring maximum efficiency and reliability. UptimeAI uniquely combines Artificial Intelligence with Subject Matter Knowledge from 200+ years of cumulative experience to explain interrelations across upstream/downstream equipment, adapt to changes, identify problems, and give prescriptive diagnosis like a human expert would. About the Role: We are seeking a highly experienced Data Science Leader with strong domain expertise in Oil & Gas, Power Generation, or Process Industries, combined with deep exposure to Data Science, AI/ML, and Industrial Software. The ideal candidate will play a critical role in shaping and guiding the development of data-driven B2B SaaS solutions for industrial applications, leveraging deep operational insight and advanced analytics. Responsibilities: Lead AI/ML teams to design solutions that align with real-world industrial use cases. Provide domain expertise and strategic guidance in Oil & Gas, Power, or Chemicals to product, engineering, and data science teams. Define product requirements and influence roadmap based on domain knowledge and market needs. Serve as a thought leader in industrial IoT, predictive maintenance, asset management, and reliability engineering. Support GTM teams in customer discussions, industry presentations, and positioning of the product offering. Lead knowledge transfer, training, and mentoring for internal teams on industry-specific processes and pain points. Qualifications: 15+ years of total experience, with at least the last 5 years in a senior leadership role leading Data Science initiatives. Mandatory: Extensive experience in manufacturing operations within Oil & Gas, Power Generation, or Chemicals. Proven track record in developing and launching B2B SaaS products for industrial environments. Strong understanding of industrial IoT, predictive analytics, Process Optimization, machine learning, and digital transformation. Hands-on experience with Data Science / AI / ML teams. Familiarity with industrial asset management, maintenance operations, and reliability engineering. Excellent communication skills with the ability to bridge the gap between business and technical stakeholders. Preferred: MBA or relevant advanced technical degree (e.g., Engineering, Data Science, Operations Research). Required Skills: Global exposure across different geographies and regulatory environments. Prior experience working with digital twins, SCADA, CMMS, or EAM systems. Published thought leadership or public speaking experience at industry forums. Impact Industry-Wide Change: Contribute to transformative solutions that significantly improve operational efficiency and reliability for global clients. Collaborative and Growth-Oriented Environment: Join a talented, passionate team that values innovation, continuous learning, and professional growth. Opportunities for Leadership and Innovation: Lead pioneering projects, influence product development, and shape the future of industrial AI solutions. Equal Opportunity Statement: UptimeAI is committed to diversity and inclusivity in the workplace.,

As a Consultant in Performance Analytics at Mastercard, you will be part of the Advisors & Consulting Services group specializing in translating data into insights for our regional and global clients. Your role will involve leveraging both Mastercard and customer data to design, implement, and scale analytical solutions that unlock client value. By using qualitative and quantitative analytical techniques along with enterprise applications, you will synthesize analyses into clear recommendations and impactful narratives. In this position, you will have the opportunity to provide creative input on various projects across different industries, contributing to the development of analytics strategies and programs for clients. Collaborating with the Mastercard team, you will gain insights into clients" needs, agenda, and risks, building strong working relationships with client analysts/managers as a trusted partner. Your responsibilities will also include collaborating with senior project delivery consultants to identify key findings, prepare effective presentations, and deliver recommendations to clients. Independently identifying trends, patterns, issues, and anomalies in your area of analysis, you will structure and synthesize your analysis to highlight relevant findings. Leading internal and client meetings, contributing to project management, and adding to the firm's intellectual capital will be essential aspects of your role. Additionally, you will receive mentorship from performance analytics leaders for your professional growth and development. To qualify for this role, you should have 2-4 years of overall career experience in Performance Analytics, along with an undergraduate degree and experience in data analytics such as business intelligence or descriptive, predictive, or prescriptive analytics. Proficiency in using data analytics software like Python, R, SQL, SAS, as well as advanced skills in Word, Excel, and PowerPoint are required. You should be able to analyze large datasets, synthesize key findings, and multitask efficiently in a fast-paced, deadline-driven environment. Effective communication skills in English and the local office language, where applicable, are also necessary. Preferred qualifications include additional experience in building, managing, and maintaining database structures, working with data visualization tools like Tableau or Power BI, and familiarity with the Hadoop framework and coding using Impala, Hive, or PySpark. Experience in collaborative team environments, problem-solving skills, and relevant industry expertise are also advantageous. As a team member at Mastercard, you will be expected to adhere to the company's security policies and practices, maintain the confidentiality and integrity of accessed information, report any suspected security violations or breaches, and participate in periodic mandatory security trainings to ensure information security. Please refer to our consulting specializations page for more opportunities and apply for the position that aligns best with your background and experience.,

As a Data Scientist specializing in Predictive Analytics and Modelling, your primary responsibilities will include conducting pattern analysis and developing machine learning algorithms to identify trends and opportunities. You will collaborate with Program Managers and Business Analysts to translate business requirements into actionable insights and solutions. Additionally, you will lead efforts in data collection, preparation, and validation, ensuring data quality and comprehensive data management in coordination with data scientists, BI developers, and IT teams. In the role, you will be responsible for testing and validating analytical models using historical and real-time data, as well as piloting solutions with Business Analysts and end-users for iterative improvement. Communication skills are essential as you will be required to present complex findings and technical concepts to non-technical stakeholders in a clear and concise manner. Your role will also involve identifying training needs within the organization related to analytics and data science, conducting knowledge-sharing sessions, and workshops to enhance analytical capabilities across teams. You will manage relationships with external vendors for analytics tools and services while collaborating with industry experts and research institutions to stay updated on emerging trends and best practices in data analytics. You will implement tracking mechanisms to monitor compliance and performance of analytical solutions, gathering feedback from stakeholders for continuous improvement. Project management support will be provided by defining project scopes, timelines, and resource requirements, ensuring adherence to quality standards, processes, and best practices in analytics implementation. The ideal candidate for this role should have a B.E/ B.Tech in Mechanical, Power Engineering, or related field, with an Advanced Degree (MBA, M.Tech) preferred. A minimum of 5-8 years of experience in data science, with at least 3 years of strong proficiency in Python is required. A background in power utilities or similar sectors with a proven track record in deploying analytics models into production and scaling them for real-time data handling is preferred for this position.,

As a System Reliability Engineer at Roche, you will play a crucial role in leading the design, execution, and continuous evolution of the Monitoring, Observability, Automation, and Job Management strategy. Your expertise in ERP Operations Control Center (OCC) and enterprise observability architecture will be utilized to ensure end-to-end visibility across SAP ERP, middleware, and business-critical applications. Your responsibilities will include designing and governing a comprehensive monitoring architecture, executing the Automation & Observability roadmap, and standardizing monitoring patterns using tools like SAP Focused Run and SAP Cloud ALM. You will define and manage SLIs, SLOs, error budgets, and establish a reliability engineering culture across SAP operations. Additionally, you will integrate AI-driven monitoring and anomaly detection for faster incident detection and resolution. In this strategic role, you will collaborate with technical teams and business stakeholders to enhance observability capabilities, conduct root cause analysis, and introduce operational best practices for proactive incident prevention. You will also define and operationalize business KPIs with dashboards tied to user experience and transaction health. To be successful in this role, you should have 8+ years of experience in SAP system architecture, monitoring automation design, or SRE roles, along with 3+ years of experience with SAP OCC technologies. Proficiency in SAP S/4HANA, BTP, middleware, and enterprise-wide observability tools is essential. Strong stakeholder management, communication, and collaboration skills are required, along with a passion for reliability, automation, and measurable improvement. At Roche, we are dedicated to advancing science and ensuring everyone has access to healthcare. With over 100,000 employees worldwide, we work together to deliver life-changing healthcare solutions that make a global impact. Join us in building a healthier future, where every voice matters. Roche is an Equal Opportunity Employer.,

The position is with the Communication BU and you would be responsible for supporting business operations and sales analysis. Your role will involve sales business intelligence, reporting, and analytics skills. The team provides visibility into the BU's sales pipeline by integrating information from sales, customer, and financial sources for a comprehensive sales performance overview. Supporting Sales and Delivery operations, you will manage numbers such as revenue, OB, Invoicing, Billing, COD, etc. You should have a strong understanding and knowledge of statistics to apply statistical tools for predictive analytics. Designing, executing, and managing Sales Analytics and Reporting for large enterprises to provide sales insights will be a key responsibility. You will need to provide actionable insights from a vast volume of data (Both Structured and Unstructured) using Data Mining and Data Cleansing techniques. Analyzing results, setting up reports, designing dashboards with relevant KPIs and measures will facilitate senior management and the sales force in decision-making. Your role will involve business analysis, decision support, and working within various reporting systems to enhance sales execution. Communication of relevant recommendations to key leadership stakeholders - Sales/Presales/Leadership through analytics, while addressing real business problems/issues/challenges, is essential.,

As a Senior Manager, Oracle EPM at Spaulding Ridge, you will play a crucial role in leading the implementation, optimization, and ongoing management of Oracle Enterprise Performance Management (EPM) solutions. Your responsibilities will include defining and executing the Oracle EPM roadmap in alignment with business objectives, overseeing end-to-end EPM implementations, upgrades, and migrations, and ensuring best practices in metadata design, data integration, security, and workflow automation. You will collaborate with Finance, IT, and business stakeholders to identify process improvements and automation opportunities, streamline financial planning, forecasting, and close processes using Oracle EPM tools, drive adoption of advanced EPM capabilities such as AI/ML, predictive analytics, and dashboards, and integrate Oracle EPM with ERP systems and data sources. Additionally, you will establish governance frameworks for data accuracy, compliance, and audit controls, monitor system performance, troubleshoot issues, and optimize EPM environments, manage vendor relationships, licensing, and support escalations with Oracle, and partner with senior leadership to translate business needs into EPM solutions. You will also develop training programs and documentation for end-users and finance teams and act as a subject matter expert (SME) for Oracle EPM across the organization. To be successful in this role, you should have a Bachelor's degree in Finance, Accounting, Information Systems, or a related field, with an MBA, CPA, or CA preferred. You should have at least 10 years of experience in Oracle EPM (Cloud and/or On-Prem) with leadership experience in managing Oracle EPM teams/practices, a minimum of 4 end-to-end implementation experiences in any of the Oracle EPM tools, and hands-on expertise in EPBCS, FCCS, ARCS, PCMCS, or the Hyperion suite. Strong technical skills in EPM data models, calculation scripts, Groovy, FDMEE, and EPM Automate are required, along with experience in Oracle Analytics Cloud, Power BI, or Tableau. Furthermore, you should possess exceptional communication, stakeholder management, and problem-solving abilities, the ability to mentor teams and drive cross-functional collaboration, and relevant certifications such as Oracle EPM Cloud Certification, PMP, Agile, or Scrum Master certification. Join Spaulding Ridge for the opportunity to lead enterprise-wide EPM transformations in a dynamic environment, competitive salary, benefits, and career growth potential, and the chance to work with cutting-edge Oracle technologies and a collaborative team. Embrace a workplace committed to diversity, inclusion, and belonging, where every member is accepted, respected, and valued for who they are.,

The Sr. Software Engineering role at Coupa involves providing application and infrastructure support for customer environments. You will collaborate with engineers globally to plan and deploy product releases. Coupa values equal opportunity and maintains a welcoming work environment, ensuring fair decisions related to hiring, compensation, and performance evaluation. Recruiters are advised that inquiries or resumes will not be accepted. By applying for this position, you acknowledge Coupa's Privacy Policy and consent to the collection and processing of your personal data for recruitment purposes. This includes consideration for current and future job opportunities. For more information on data processing and retention, please refer to our Privacy Policy. Join Coupa, a leading provider of total spend management solutions for businesses of all sizes. Benefit from our community-generated AI and global network of buyers and suppliers to make smarter, more profitable business decisions. Experience a collaborative culture driven by innovation, transparency, and excellence. Make a global impact with work that matters to clients, the business, and each other. Don't miss the opportunity to be part of a dynamic team where your contributions directly impact the success of our clients and the company. Apply now and explore the possibilities at Coupa.,

As the Head of Network Service Management at LSEG, you will play a pivotal role in ensuring the delivery of high-quality network services that align with the organization's business objectives. Collaborating with the Head of Network Products and Services (NPS), you will lead a distributed team and drive transformative initiatives to enhance customer satisfaction, service reliability, and operational excellence. By overseeing service management processes and working closely with counterparts across Infrastructure & Cloud (I&C), you will establish and enforce standard processes to optimize service delivery. LSEG operates a globally significant network that includes low latency high frequency trading systems, real-time market data distribution, and numerous points of presence operating 24/7. As such, operational resiliency and stability are paramount considerations due to the critical national infrastructure supported by the network. In this role, you will lead the service management function across LAN connectivity, WAN & Edge connectivity, Market & Customer Connectivity, and Application Network Connectivity for the NPS product lines. Your primary focus will be on transforming the service management team into a proactive core capability capable of driving service improvements for all business divisions within the group. Key responsibilities include developing and implementing service management frameworks, processes, and policies to ensure consistent delivery of high-quality network services to internal and external customers. You will also track service performance metrics, drive continuous improvement initiatives, manage major incidents and problem resolution processes, and oversee vendor and partner relationships to optimize service delivery and cost management. The ideal candidate for this role will possess extensive experience in global service management for large-scale, complex network environments across LAN, WAN, and Edge connectivity. Strong leadership skills and a proven track record of building and managing geographically distributed teams are essential. A deep understanding of ITIL frameworks, service management standard methodologies, and advanced technologies such as AI, automation, and predictive analytics will be beneficial. Moreover, effective communication and stakeholder management skills, including the ability to engage with C-level executives, clients, partners, and internal service groups, are critical for success in this role. The ability to think critically, analyze complex situations, and develop long-term plans to enhance overall service quality is also required. If you are a motivated leader with a passion for driving service excellence and operational efficiency in a high-stakes network environment, this role offers a unique opportunity to make a significant impact within a globally renowned financial markets infrastructure and data business. Join us at LSEG and be part of a dynamic organization committed to excellence, innovation, and sustainable growth.,

The Senior Manager role in Platform Strategy at Accenture involves driving strategic initiatives and managing business transformations to create value-driven solutions. As part of the Technology Strategy & Advisory Practice, you will focus on the clients" most strategic priorities, helping them achieve growth and efficiency through innovative R&D transformation using agile methodologies. This role provides a great learning ground in Business Strategy, where you will work closely with global clients to drive transformative strategic value and business growth. Your responsibilities will include developing and executing technology transformation strategies, overseeing implementation projects, and optimizing digital capabilities for business efficiency. You will play a crucial role in facilitating alignment between business and IT, engaging stakeholders, adapting to changing business models, and analyzing trends and disruptions to support the organization in achieving targeted business outcomes related to revenue growth, cost optimization, risk mitigation, and sustainability improvement. As an Enterprise Architect, you will demonstrate competencies in supporting the formulation of strategy and guiding execution, connecting strategy to execution, building and maintaining relationships, orchestrating the delivery of business outcomes, and supporting solution design and delivery. You will lead the analysis of business models, market trends, and technology impacts, translating business strategy into actionable outcomes, and enabling value-based messaging to drive business and IT alignment. To excel in this role, you should possess strong analytical, problem-solving, and communication skills, along with relevant experience in enterprise architecture. Technical skills required include knowledge of business ecosystems, various IT architectures, agile methodologies, and emerging technologies. Industry experience in retail segments like eCommerce, omnichannel retailing, and CPG digital transformations will be beneficial. This position offers an opportunity to work on innovative projects, with a clear path for career growth and leadership exposure. If you are a dynamic professional with a passion for driving strategic initiatives and delivering value-driven solutions, this role at Accenture might be the perfect fit for you.,

As the Director of Product - AI at REA India, you will play a pivotal role in shaping the strategic direction and implementation of AI technologies across our digital platforms. Your leadership will drive innovation and enhance user engagement within the real estate sector. By leveraging AI, you will redefine our product offerings, maintain our competitive edge, and set new industry benchmarks. This senior position demands strategic insight, visionary thinking, and a profound understanding of AI applications in business transformations. Your key responsibilities will include: AI Strategy and Product Development: - Craft and communicate a comprehensive AI product vision and roadmap aligned with REA India's business goals and technological ambitions. - Lead cross-functional teams in designing, implementing, and optimizing AI-driven innovations to enhance customer experience and operational efficiency. - Utilize advanced machine learning techniques to offer personalized options that enrich user interactions. - Ensure seamless integration of AI functionalities across product lines to meet evolving market demands. Executive Stakeholder Engagement and Market Positioning: - Articulate and advocate REA India's AI strategy at industry events and executive panels to provide clarity and vision. - Collaborate with senior leadership to shape and execute AI initiatives in alignment with market trends and competitive dynamics. - Cultivate partnerships with external technologists and thought leaders to refine and enhance AI product strategies continuously. Requirements: - 10+ years of experience in product management or AI-focused roles, with at least 7 years in senior leadership positions within technology-driven enterprises. - Proven expertise in strategizing, launching, and scaling enterprise-level AI initiatives that drive business growth and enhance user experiences. - Deep knowledge of AI technologies, machine learning models, including neural networks, natural language processing, and predictive analytics. - Proficiency in leading complex, cross-functional projects in agile environments through collaboration and results-driven approaches. Desired Attributes: - Strong strategic and analytical thinking skills to envision the future landscape of AI applications in real estate. - Exceptional leadership and mentorship abilities to inspire and empower high-performing teams. - Passion for continuous learning and keeping abreast of emerging AI technologies to deliver innovative solutions for real-world challenges. - Excellent communication skills to effectively convey AI strategies to diverse stakeholders, including technical teams, executive leadership, and external partners. Join us at REA India, where we foster a culture of inclusion, learning, and growth, providing a home for our team members to thrive and contribute to revolutionizing the property experience in India. Welcome to a place where you truly belong welcome home!,

As a Principal Data Analyst at Zeta Global, you will be responsible for analyzing complex datasets, identifying opportunities for process improvements, and implementing automation solutions to streamline workflows. Your role will involve a deep understanding of data analytics, process automation tools, and excellent problem-solving skills. You will need to be proactive, detail-oriented, and able to work collaboratively with cross-functional teams to drive data-driven initiatives. In this role, you will analyze large and complex datasets to identify trends, patterns, and insights that drive business decisions. You will develop, implement, and maintain automated processes to improve data accuracy, efficiency, and reporting capabilities. Collaborating with stakeholders to understand business requirements and translating them into technical solutions will be a key aspect of your responsibilities. Additionally, you will design and build automated dashboards and reports to provide real-time insights to various departments and utilize data visualization tools to present findings in a clear and actionable manner. As a Principal Data Analyst, you will continuously monitor and refine automated processes to ensure optimal performance and scalability. Staying updated with industry trends and best practices in data analytics and process automation will be essential. You will also have the opportunity to mentor and provide guidance to junior data analysts on best practices and technical skills. To excel in this role, you should be a great communicator who can convey complex technical features in simple terms. The ability to multitask and prioritize among several high-profile clients, along with a high degree of creativity, self-motivation, and drive, will be beneficial. An eagerness to work in a startup team environment that is rapidly changing, being an enthusiastic team player with a penchant for collaboration and knowledge sharing, and a willingness to do whatever it takes to get the job done are qualities that will help you succeed. You should also be data-driven, technical, self-starting, and curious. The ideal candidate for this position will have a Bachelor's or Master's degree in data science, Computer Science, Statistics, or a related field. A minimum of 3-4 years of experience in data analysis, with a focus on process automation, and at least 2 years of work experience in analytics (minimum of 1 year with a Ph.D.) is required. Proficiency in programming languages such as Python, R, or SQL, experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), and/or statistical/mathematical software (e.g., R), as well as extensive experience with data visualization tools such as Tableau, Power BI, or similar, are necessary. Experience with combining and consolidating disparate datasets in apps such as Big Query, Data Bricks, proficiency in programming languages such as Python, R, or SQL, and strong knowledge of process automation tools and platforms (e.g., Alteryx, UiPath, Microsoft Power Automate) are also important qualifications. Additionally, familiarity with database management systems (e.g., SQL Server, MySQL, PostgreSQL), excellent analytical and problem-solving skills, and the ability to work effectively in a fast-paced, collaborative environment are required. Strong communication skills, with the ability to convey complex data insights to non-technical stakeholders, as well as experience with machine learning and predictive analytics, are considered a plus. If you possess a Master's or Ph.D. Degree in a quantitative field, it would be a bonus. Zeta Global is a data-powered marketing technology company that combines a proprietary data set with Artificial Intelligence to unlock consumer intent, personalize experiences, and help clients drive business growth. The Zeta Marketing Platform powers "end-to-end" marketing programs for leading brands across all digital marketing channels. Join us and be part of a team that is at the forefront of innovation in the marketing technology industry.,

You should have about 3-4 years of strong software development experience in a product company, with a minimum of two years of hands-on experience in each of the following skills: As a Key Account Manager for Telecom (Mobility) field, you should have good contacts and be able to liaise effectively with telecom clients. Your responsibilities will involve working on large scale distributed and highly scalable Big Data processing systems. You must have hands-on experience in tools such as Hadoop, HBase, Map Reduce, Hive, and Big Data SQL. You should be proficient in developing software that can scale for large volume batch and online systems, and have experience in writing code to process large amounts of structured and unstructured data using MapReduce/Spark or batch processing systems. Proficiency in solving problems using an object-oriented programming language, preferably Java, is required. Additionally, you should have good experience and exposure to data modeling, querying, and optimization for handling big table data stores. A working knowledge of J2EE technologies, exposure to Analytics, and proficiency in Python, Scala, or a functional language is preferred. Experience in R would be a plus. You must possess excellent analytical capability and problem-solving abilities. Experience in working with public and private clouds, *nix environments, scripting, and other toolsets is also necessary. Preferred qualifications include experience in Agile processes with smaller/quick releases, exposure to predictive analytics and machine learning, and familiarity with virtual environments like Virtual Box. Any experience with Test Driven Development, continuous integration, and release management will be considered a great advantage for this role.,

You will be part of a dynamic team at Coupa, a company that leverages community-generated AI and a cutting-edge total spend management platform to help businesses of all sizes maximize their margins. Coupa AI is powered by trillions of dollars of direct and indirect spend data from a vast network of 10M+ buyers and suppliers, enabling you to make smarter, more profitable business decisions and enhance operating margins. At Coupa, you will experience: - Pioneering Technology: We are pioneers in innovation, using the latest technology to provide our customers with increased efficiency and visibility in their spending processes. - Collaborative Culture: Our culture is built on collaboration, teamwork, transparency, openness, and a shared commitment to excellence. - Global Impact: Join a team where your work directly impacts our clients, the business, and the world at large. As a Senior Software Engineer at Coupa, your responsibilities will include providing application and infrastructure support for customer environments. You will collaborate with engineers across the company and around the globe to plan and implement product releases, contributing to the continuous growth and success of the organization. Coupa is committed to upholding equal opportunity in compliance with relevant laws and regulations. We offer an inclusive work environment where hiring, compensation, training, and performance evaluations are conducted fairly. We provide equal employment opportunities to all qualified candidates and employees without discrimination. Please note that we do not accept inquiries or resumes from recruiters. By submitting your application, you acknowledge that Coupa collects your personal data as outlined in our Privacy Policy for managing recruitment activities, including potential employment opportunities and notifications for future job openings. Join us at Coupa and be a part of a team that is shaping the future of spend management. Apply now to be a part of our innovative and inclusive work culture.,

The role will focus on implementing tools and strategies to analyze large amounts of data, identify trends, and convert information into business insights. You will be responsible for setting up information formats and customized views for stakeholders across the company in various leadership, marketing, and sales roles. As a data-product owner, you will lead the translation of business needs into data projects and data projects into business implications. You will partner with internal stakeholders from SFE, CRM, Marketing, Ethical & Trade Sales, MI, and Finance to identify opportunities to implement data solutions to business problems. Additionally, you will actively contribute to the business intelligence plan, BI environment, and tools. Your responsibilities will include building a strategic roadmap for Data & Analytics, incorporating Data Science into ANI India's overall Customer/Channel/Sales Force engagement/Upstream-downstream strategy. You will develop reports and models for forecasting, trending, and predictive analytics, as well as manage and execute ad-hoc reporting, dashboarding, and analytics requirements. Furthermore, you will drive data mining efforts and present key strategic solutions and interpretations to the business for real-time decision-making using traditional (e.g., data lake) and advanced (data science and AI) technologies and methodologies. You will also be expected to promote data-based storytelling by summarizing and highlighting analysis points with effective visualization techniques through the use of BI delivery platforms. The ideal candidate for this role should have at least 6 years of experience and prior experience in Pharma, FMCG, or FMHG would be an added advantage. Strong knowledge of querying languages (SQL, SAS, etc.), visualization tools (Tableau, Raw, etc.), and analytics tools (MS Excel, Power BI, Adobe Analytics, etc.) is required.,

As an Associate Managing Consultant in the Performance Analytics division of Advisors & Consulting Services at Mastercard, your primary responsibility will be to translate data into actionable insights for clients. You will leverage both Mastercard and customer data to design, implement, and scale analytical solutions that drive value for our clients. Your role will involve using a mix of qualitative and quantitative analytical techniques along with enterprise applications to synthesize analyses into clear recommendations and compelling narratives. In this position, you will have the opportunity to work on projects across various industries and problem statements, managing deliverables and workstreams effectively. You will play a key role in developing analytics strategies and programs for large, regional, and global clients by harnessing data and technology solutions to unlock client value. Building strong working relationships with client managers and acting as a trusted partner will be essential to your success. Your responsibilities will also include creating predictive models using segmentation and regression techniques to drive profits, reviewing analytics end-products for accuracy and timeliness, and proactively seeking new knowledge to enhance project work. Additionally, you will collaborate with your team to develop sound business recommendations, deliver client presentations, and lead project management efforts. Mentoring junior consultants, contributing to the firm's intellectual capital, and fostering effective working relationships with local and global teams will be integral parts of your role. To excel in this position, you should possess an undergraduate degree with experience in data and analytics, business intelligence, and descriptive, predictive, or prescriptive analytics. You should have a strong ability to analyze large datasets, synthesize key findings, and provide recommendations using descriptive analytics and business intelligence. Proficiency in data analytics software such as Python, R, SQL, SAS, as well as advanced skills in Word, Excel, and PowerPoint are necessary. Effective communication in English and the local office language, eligibility to work in the country where you are applying, and willingness to travel as required are also important qualifications. Preferred qualifications for this role include additional experience working with the Hadoop framework, coding using Impala, Hive, or PySpark, or utilizing data visualization tools like Tableau and Power BI. Experience in managing tasks in a collaborative team environment, coaching junior consultants, and possessing relevant industry expertise will be advantageous. While an MBA or master's degree with a relevant specialization is not required, it is considered a plus. If you are passionate about leveraging data to drive business insights, thrive in a collaborative and fast-paced environment, and are committed to delivering value to clients, we encourage you to explore the opportunities available in our Performance Analytics team at Mastercard.,

At Improzo, we believe in improving life by empowering our customers. Founded by seasoned industry leaders, we are dedicated to delivering quality-led commercial analytical solutions to our clients. Our team of experts in commercial data, technology, and operations is committed to evolving and learning together since our inception. At Improzo, you will have the opportunity to collaborate with brilliant minds, work with leading Life Sciences clients, seasoned leaders, and carefully chosen peers like yourself. Our success is driven by our CARE values framework, where we prioritize customer needs and outcomes, pursue bold and innovative avenues, foster a culture of collaboration and respect, and maintain a laser focus on quality-led execution. We are currently seeking a highly motivated RWE-HEOR-Patient Analytics Specialist at various levels to join our dynamic team. In this role, you will leverage Patient Analytics, Real-World Evidence (RWE), and Health Economics & Outcomes Research (HEOR) methodologies to drive impactful insights and support life sciences clients in optimizing patient outcomes, decoding patient journeys, and refining healthcare strategies. Your responsibilities will include leading patient journey analytics and segmentation, developing predictive patient models, analyzing patient-reported outcomes, integrating real-world data, conducting health economics evaluations, implementing advanced patient analytics solutions, engaging with clients to translate insights into actionable strategies, leading projects, mentoring team members, and contributing to thought leadership in patient analytics. Qualifications: - Bachelor's or Master's degree in Data Science, Biostatistics, Health Informatics, Epidemiology, Health Economics, Public Health, or related quantitative fields with an emphasis on patient-centered research. - 3-9 years of experience in Patient Analytics, Digital Health Analytics, RWE, and HEOR, preferably within the pharmaceutical, consulting, or healthcare industries. - Proficiency in statistical software and programming languages (Python, R, SAS, SQL), machine learning applications, data visualization tools, healthcare databases, patient privacy regulations, and clinical trial data utilization. - Experience with patient cohort identification, patient engagement analytics, care pathway optimization, treatment sequence analysis, patient risk scoring, population health management, and integration of RWE and HEOR principles. - Strong analytical and problem-solving abilities, excellent communication skills, collaborative approach, adaptability, continuous learning mindset, and ethical approach to patient data handling. Benefits: - Competitive salary and comprehensive benefits package. - Leadership opportunities in patient analytics, RWE, and HEOR initiatives. - Career development in the rapidly growing patient analytics and precision medicine field. - Collaborative environment with opportunities to impact patient care and outcomes. - Exposure to innovative healthcare technologies and global life sciences industry trends. - Professional development support including conferences, certifications, and advanced training in patient analytics, RWE, and HEOR methodologies.,

The Artificial Intelligence team at TDMM is seeking a dedicated and creative Computer Scientist with a solid background in applied mathematics to contribute to the development of cutting-edge technology, including multimodal systems and Foundation models. As a member of our team, you will have the opportunity to play a key role in our AI initiatives and drive innovation within the financial services sector. Your responsibilities will include leveraging TDMM's diverse multimodal financial datasets and extensive computing resources to accelerate advancements in LLMs and multimodal systems. By working closely with large teams and external collaborators, you will help ensure that our model team remains at the forefront of scientific innovation. Additionally, you will be expected to present your research findings effectively. Basic Qualifications: - PhD or Master's degree with at least 3 years of applied research experience - Over 3 years of experience in developing machine learning models for business applications - Proficiency in programming languages such as Python - Strong background in neural deep learning methods and machine learning techniques - Experience in data-driven model development, time series analytics, stochastic optimization, predictive analytics, and more Preferred Qualifications: - PhD in Computer Science, Mathematics, or a related field - Familiarity with LLMs, vision-based transformers, and multimodal architectures - Thorough understanding of the AI/ML technology stack - Expertise in CNN, Transformer, and Graph Neural Network - Knowledge of basic Reinforcement Learning algorithms - Experience with generative deep learning models like CNNs, GANs, VAEs, etc. - Proficiency in large-scale machine learning systems, including profiling, debugging, and assessing system performance and scalability - Experience in cross-domain/multi-task model training, evaluation using diverse datasets, and deployment across multiple products - Track record of publications in top-tier peer-reviewed conferences or journals If you meet the above qualifications and are excited about the opportunity to work on industry-leading AI technology in the financial services sector, we encourage you to apply.,

As a Senior Architect AI Products supporting Novartis" Commercial function, you will play a crucial role in driving the architectural strategy that facilitates the seamless integration of data and AI products across various key areas such as omnichannel engagement, customer analytics, field operations, and real-world insights. Your responsibilities will involve collaborating with commercial business domains, data platforms, and AI product teams to design scalable, interoperable, and compliant solutions that enhance the impact of data and advanced analytics on healthcare professional and patient engagement. You will be tasked with defining and implementing the reference architecture for commercial data and AI products, ensuring alignment with enterprise standards and business priorities. Additionally, you will architect the integration of data products with AI products and downstream tools, promoting modular, scalable design to encourage reuse and interoperability across different markets and data domains within the commercial landscape. Stakeholder alignment will be a key aspect of your role, as you will partner with various teams to guide solution design, delivery, and lifecycle evolution. Your role will also involve supporting the full lifecycle of data and AI, including ingestion, transformation, model training, inference, and monitoring within secure and compliant environments. It will be essential to ensure that the architecture complies with governance, data privacy, and commercial requirements while constantly seeking opportunities for architectural improvements, modern technologies, and integration patterns to enhance personalization, omnichannel engagement, segmentation, targeting, and performance analytics. To excel in this position, you are expected to demonstrate proven leadership in cross-functional architecture efforts, possess a good understanding of security, compliance, and privacy regulations in the commercial pharma sector, and have experience with pharmaceutical commercial ecosystems and data. A strong background in data platforms, pipelines, and governance, as well as knowledge of AI/ML architectures supporting commercial use cases, will be advantageous. Additionally, a bachelor's or master's degree in computer science, engineering, data science, or a related field, along with at least 10 years of experience in enterprise or solution architecture, are desirable qualifications for this role. Novartis is committed to diversity, equal opportunity, and inclusion, striving to build diverse teams that represent the patients and communities served. By joining Novartis, you will become part of a community of passionate individuals collaborating to achieve breakthroughs that positively impact patients" lives. If you are ready to contribute to creating a brighter future through innovation and collaboration, we invite you to explore career opportunities at Novartis.,

At Medtronic, you can embark on a lifelong career focused on exploration and innovation, all while contributing to the cause of improving healthcare access and equity for all. As part of our team, you will lead with purpose, striving to remove barriers to innovation in a world that is more interconnected and compassionate. We strongly believe that diversity in cultures, genders, and perspectives fosters innovation, benefiting everyone involved. At Medtronic, we practice what we preach by fostering an inclusive culture where you can not only survive but thrive. Our unwavering dedication to inclusion, diversity, and equity ensures that there are no obstacles to opportunities within Medtronic. We strive to create a workplace where all employees feel a sense of belonging, are treated with respect, and are valued for their unique backgrounds and contributions. Recognizing that true equity extends beyond our organization, we are committed to addressing systemic inequities through our communication efforts to ensure a lasting, positive impact. Aligned with our mission, we are dedicated to advancing inclusion, diversity, and equity to enhance the well-being of our employees and to drive innovation that brings life-saving technologies to more individuals worldwide. Join us at Medtronic, an industry leader in medical technology and healthcare solutions. As a market leader experiencing continuous growth, you will have the opportunity to contribute to technologies deeply rooted in our history of mission-driven innovation. Empowered to shape your own career, you will receive the necessary training, mentorship, and guidance to chart a successful path forward. Together, we have the potential to revolutionize healthcare and make a difference in people's lives. Medtronic is committed to nurturing a diverse and inclusive work environment. In the role of a Senior Analyst, you will play a pivotal role in ensuring compliance with the highest security standards across the enterprise. Collaborating with the Senior IT Manager for Strategies and Programs within the Global Cyber and Information Security Office (GCISO), you will be responsible for gathering, analyzing, and interpreting extensive data from various sources to develop comprehensive dashboards that will empower leadership to make informed and strategic decisions. **General Responsibilities:** - Compile and analyze large datasets from multiple sources. - Develop and maintain interactive, user-friendly dashboards and reports using BI tools like PowerBI. - Ensure data accuracy and integrity in all reporting outputs. - Collaborate with stakeholders to identify key metrics and reporting needs to support decision-making processes. - Provide actionable insights and data-driven recommendations to leadership. - Troubleshoot technical issues and offer innovative solutions independently. - Continuously enhance reporting processes, data visualization techniques, and automation to improve efficiency. - Stay abreast of BI tools, best practices, and emerging technologies. - Communicate complex data findings clearly and concisely to both technical and non-technical stakeholders. **Minimum Qualifications:** - Bachelor's degree in Data Science, Information Systems, Computer Science, or a related field. - Demonstrated experience with PowerBI and other BI tools. - Experience in data analysis, reporting, and dashboard creation. - Ability to troubleshoot technical issues and devise innovative solutions. - Familiarity with various data sources and databases (e.g., SQL). - Strong problem-solving skills with a forward-thinking mindset. - Excellent communication skills to convey data insights effectively to diverse audiences. - Experience in a large organization is advantageous. - Knowledge of best data security practices and proactive measures to ensure data security. **Preferred Qualifications:** - Knowledge of data warehousing concepts and tools. - Proficiency in scripting languages for data manipulation. - Familiarity with machine learning models and predictive analytics. - Experience in a large organizational setting. **Senior Level Requirements:** - 7+ years of experience with a bachelor's degree. **Physical Job Requirements:** The above description provides a general overview of the role's responsibilities and skills required, but it is not an exhaustive list. **Benefits & Compensation:** Medtronic offers a competitive salary and flexible benefits package to its employees. Our commitment to our employees is at the core of our values, and we recognize and reward their contributions to our success. We provide a range of benefits, resources, and competitive compensation plans designed to support our employees at every stage of their careers and lives. **About Medtronic:** At Medtronic, we lead the global healthcare technology sector and tackle some of the most pressing health challenges facing humanity by seeking and implementing innovative solutions. Our mission, to alleviate pain, restore health, and extend life, unites a global team of over 95,000 passionate individuals. As engineers at heart, we translate ambitious ideas into practical solutions that benefit real people. From research and development labs to production facilities and meeting rooms, each of us plays a vital role in experimenting, creating, building, improving, and solving. With our diverse talent, perspectives, and courage, we strive to engineer the extraordinary. To learn more about our business, mission, and commitment to diversity, please visit our website.,

You are a highly skilled SAP BTP Application Developer with over 5 years of experience in SAP technologies and expertise in three or more SAP BTP implementations. In this role, you will lead SAP BTP application development projects, utilizing automation tools like Signavio and cutting-edge SAP technologies to drive innovation and efficiency. Your responsibilities will include developing applications using SAP Build on Cloud Foundry, creating user interfaces with SAP Fiori/UI5, and implementing cloud-based solutions using CAP. Additionally, you will extend standard SAP solutions using the SAP Extension Suite and integrate AI capabilities for predictive analytics. Your qualifications should include a Bachelor's or Master's degree in Computer Science or related field, along with essential skills in low-code/no-code platforms, SAP Business Application Studio, CAP, SAP Fiori/UI5, cloud application programming, and mobile development. Familiarity with automation tools like Signavio would be advantageous for this role.,

You will be joining Shivacha Technologies as a Business Development Manager - Blockchain in Gurugram, playing a vital role in identifying new business opportunities, fostering client relationships, and forging strategic partnerships. Your responsibilities will include conducting market research, crafting proposals, and delivering tailored solutions to potential clients. Collaboration with the technical team will ensure that client needs are addressed effectively and that the proposed solutions align seamlessly with our range of blockchain and AI services. To excel in this role, you should possess a robust understanding of Blockchain development, Smart Contract development, and Decentralized Application (dApp) development. Your expertise in AI technologies, encompassing machine learning, predictive analytics, and AI integration, will be instrumental in driving innovation and efficiency. A proven track record in business development, client relationship management, and partnership cultivation will be key to your success. Your exceptional communication, negotiation, and presentation skills will enable you to engage with diverse stakeholders effectively. Additionally, your ability to articulate complex technical concepts to non-technical audiences will be paramount. Ideally, you hold a Bachelor's degree in Business Administration, Marketing, Information Technology, or a related field. Previous experience in the technology and consulting sector will be advantageous in navigating the dynamic landscape of blockchain and AI technologies. By leveraging your skills and experience, you will contribute to Shivacha Technologies" mission of enhancing security, transparency, and efficiency through decentralized systems and intelligent technologies, thereby empowering businesses to thrive in the digital realm.,

As a Senior Data Scientist I at Dotdash Meredith, you will collaborate with the business team to understand problems, objectives, and desired outcomes. Your primary responsibility will be to work with cross-functional teams to assess data science use cases & solutions, lead and execute end-to-end data science projects, and collaborate with stakeholders to ensure alignment of data solutions with business goals. You will be expected to build custom data models with an initial focus on content classification, utilize advanced machine learning techniques to improve model accuracy and performance, and build necessary visualizations to interpret data models by business teams. Additionally, you will work closely with the engineering team to integrate models into production systems, monitor model performance in production, and make improvements as necessary. To excel in this role, you must possess a Masters degree (or equivalent experience) in Data Science, Mathematics, Statistics, or a related field with 3+ years of experience in ML/Data Science/Predictive-Analytics. Strong programming skills in Python and experience with standard data science tools and libraries are essential. Experience or understanding of deploying machine learning models in production on at least one cloud platform is required, and hands-on experience with LLMs API and the ability to craft effective prompts are preferred. It would be beneficial to have experience in the Media domain, familiarity with vector databases like Milvus, and E-commerce or taxonomy classification experience. In this role, you will have the opportunity to learn about building ML models using industry-standard frameworks, solving Data Science problems for the media industry, and the use of Gen AI in Media. This position is based in Eco World, Bengaluru, with shift timings from 1 p.m. to 10 p.m. IST. If you are a bright, engaged, creative, and fun individual with a passion for data science, we invite you to join our inspiring team at Dotdash Meredith India Services Pvt. Ltd.,

As a member of our team at NTT DATA, you will have the opportunity to continue making a significant impact with a company that is dedicated to pushing the boundaries of what is possible. We are recognized for our technical excellence, leading innovations, and commitment to making a difference for our clients and society. Our workplace is built on a foundation of diversity and inclusion, providing a space where you can grow, belong, and thrive. Your career journey with us is centered around believing in yourself and embracing new opportunities and challenges. It's about enhancing your skills and expertise in your current role while preparing yourself for future advancements. We actively encourage you to seize every opportunity to advance your career within our dynamic global team. In this role, your key responsibilities will include: - Strategic Analytics Leadership: - Defining and executing the global analytics roadmap for Talent Supply Chain in collaboration with the Global Talent Data and Analytics lead. - Translating business requirements into data strategies that drive measurable outcomes. - Partnering with regional Talent Acquisition hubs to align on metrics, reporting standards, and insights. - Serving as a central point of coordination for global Talent Acquisition analytics initiatives. - Advanced Reporting & Insights: - Developing and maintaining executive dashboards and predictive models using tools such as Power BI, Tableau, and advanced Excel. - Providing actionable insights on sourcing effectiveness, time-to-fill, diversity hiring, on-time hire, cost per hire (CPH), and candidate experience. - Ensuring data integrity across various systems such as Workday, SuccessFactors, and CRM platforms. - Establishing and enforcing data governance standards and best practices. - Innovation & Automation: - Leading the automation of reporting processes and exploring AI/ML applications in recruitment analytics. - Keeping abreast of industry trends and introducing innovative analytics solutions. To be successful in this role, you should possess: - A minimum of 10 years of experience in business analytics, with at least 5 years in Talent Acquisition or HR analytics. - Demonstrated experience working in a global, matrixed organization with cross-regional collaboration. - Proficiency in data visualization tools like Power BI, Tableau, SQL, and Excel. - Strong understanding of Applicant Tracking Systems (ATS) and Human Resource Information Systems (HRIS) platforms such as Workday and SuccessFactors. - Excellent communication and stakeholder management skills. - A Bachelor's degree in Data Science, Engineering, Business Analytics, HR, or a related field. Preferred Attributes: - Experience with predictive analytics and machine learning in HR. - Familiarity with global compliance and data privacy regulations (e.g., GDPR). - Ability to influence senior leadership through data storytelling. This position offers a Hybrid Working environment and we are proud to be an Equal Opportunity Employer.,

GlobalLogic is looking for a proactive and analytical Business Intelligence Analyst to join their team. As a Business Intelligence Analyst, you will be responsible for independently building, maintaining, and enhancing real-time data visualizations that meet the evolving business needs. Your role will involve empowering teams with data-driven insights through the creation of dashboards and reports using tools such as Tableau, Power BI, and Looker Studio. Key responsibilities of this role include analyzing large datasets from various business systems to extract actionable insights, designing and developing dynamic dashboards and visualizations, conducting ad-hoc analyses to support strategic business initiatives, collaborating with data engineers to integrate data from different systems, ensuring data quality and security, and presenting findings to stakeholders, including senior leadership, to drive performance improvements. Additionally, the ideal candidate should have at least 3 years of experience with Python, R, or other scripting languages for data analysis, as well as experience with Power BI or Tableau. Exposure to machine learning or predictive analytics is a bonus, along with familiarity with Agile project management methodologies. The candidate must have a graduation degree and be willing to work from the office in APAC shift timings. GlobalLogic offers a culture of caring, learning, and development, interesting and meaningful work, balance, flexibility, and is known for being a high-trust organization that values integrity. As part of the team, you will have the opportunity to work on impactful projects, grow personally and professionally, and collaborate with clients around the world. Join GlobalLogic, a Hitachi Group Company, and be part of a trusted digital engineering partner that is at the forefront of the digital revolution, creating innovative digital products and experiences. Transform businesses, redefine industries, and work on cutting-edge solutions that shape the world today.,

This is a key position that will play a pivotal role in creating data-driven technology solutions to establish our client as a leader in healthcare, financial, and clinical administration. As the Lead Data Scientist, you will be instrumental in building and implementing machine learning models and predictive analytics solutions that will spearhead the new era of AI-driven innovation in the healthcare industry. Your responsibilities will involve developing and implementing a variety of ML/AI products, from conceptualization to production, to help the organization gain a competitive edge in the market. Working closely with the Director of Data Science, you will operate at the crossroads of healthcare, finance, and cutting-edge data science to tackle some of the most intricate challenges faced by the industry. This role presents a unique opportunity within VHT's Product Transformation division to create pioneering machine learning capabilities from scratch. You will have the chance to shape the future of VHT's data science & analytics foundation, utilizing state-of-the-art tools and methodologies within a collaborative and innovation-focused environment. Key Responsibilities: - Lead the development of predictive machine learning models for Revenue Cycle Management analytics, focusing on areas such as: - Claim Denials Prediction: identifying high-risk claims before submission - Cash Flow Forecasting: predicting revenue timing and patterns - Patient-Related Models: enhancing patient financial experience and outcomes - Claim Processing Time Prediction: optimizing workflow and resource allocation - Explore emerging areas and integration opportunities, e.g., denial prediction + appeal success probability or prior authorization prediction + approval likelihood models. VHT Technical Environment: - Cloud Platform: AWS (SageMaker, S3, Redshift, EC2) - Development Tools: Jupyter Notebooks, Git, Docker - Programming: Python, SQL, R (optional) - ML/AI Stack: Scikit-learn, TensorFlow/PyTorch, MLflow, Airflow - Data Processing: Spark, Pandas, NumPy - Visualization: Matplotlib, Seaborn, Plotly, Tableau Required Qualifications: - Advanced degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field - 5+ years of hands-on data science experience with a proven track record of deploying ML models to production - Expert-level proficiency in SQL and Python, with extensive experience using standard Python machine learning libraries (scikit-learn, pandas, numpy, matplotlib, seaborn, etc.) - Cloud platform experience, preferably AWS, with hands-on knowledge of SageMaker, S3, Redshift, and Jupyter Notebook workbenches (other cloud environments acceptable) - Strong statistical modeling and machine learning expertise across supervised and unsupervised learning techniques - Experience with model deployment, monitoring, and MLOps practices - Excellent communication skills with the ability to translate complex technical concepts to non-technical stakeholders Preferred Qualifications: - US Healthcare industry experience, particularly in Health Insurance and/or Medical Revenue Cycle Management - Experience with healthcare data standards (HL7, FHIR, X12 EDI) - Knowledge of healthcare regulations (HIPAA, compliance requirements) - Experience with deep learning frameworks (TensorFlow, PyTorch) - Familiarity with real-time streaming data processing - Previous leadership or mentoring experience,