657 Predictive Analytics Jobs - Page 2

Educational Requirements Bachelor of Engineering Service Line Global Delivery Responsibilities Key Responsibilities:Design and implement AI-driven RCA and impact analysis frameworks integrated with observability platforms.Utilize Agentic AI and GenAI technologies to automate and enhance decision-making in incident response and service reliability.Integrate observability tools (e.g., AppDynamics, Dynatrace, DataDog, Grafana, CloudWatch, Splunk, ELK) with AI models for intelligent alerting and diagnostics.Collaborate with SRE, DevOps, and platform teams to define observability KPIs and RCA workflows.Develop autonomous agents for real-time monitoring, anomaly detection, and resolution.Drive innovation in predictive analytics and self-healing systems using GenAI capabilities.Ensure scalability, security, and compliance of AI-integrated observability solutions. Additional Responsibilities: Ability to develop value-creating strategies and models that enable clients to innovate, drive growth and increase their business profitability Good knowledge on software configuration management systems Awareness of latest technologies and Industry trends Logical thinking and problem solving skills along with an ability to collaborate Understanding of the financial processes for various types of projects and the various pricing models available Ability to assess the current processes, identify improvement areas and suggest the technology solutions One or two industry domain knowledge Client Interfacing skills Project and Team management Technical and Professional Requirements: Required Skills & Experience:Hands-on experience with GenAI and Agentic AI frameworks (e.g., LangChain, LangGraph).Strong understanding of Root Cause Analysis (RCA) and Impact Analysis methodologies.Experience in designing AI-powered automation and monitoring systems.Familiarity with cloud-native architectures and distributed systems.Excellent analytical, problem-solving, and communication skills. Preferred Skills: Technology->Microservices->Microservices API Management Technology->Microsoft Technologies->.Net Application Development Technology->Infra_ToolAdministration-ITSM->ServiceNow->ITSM Foundational->SDLC->Problem Analysis->Root Cause Analysis Technology->Machine Learning->Generative AI Technology->Machine Learning->Responsible AI

Job Characteristics: Demonstrates ability to extensively use and apply data science principles, methods, theories, and concepts to assignments where precedents may not exist. Demonstrates working knowledge and interconnectivity of other related disciplines. Provides solutions to a wide range of difficult problems through design and execution of data science research. Demonstrates ability and initiative to identify, experiment and collaborate on novel approaches to data science solutions. Makes significant contributions to the exploration, refinement and deployment of data science solutions. Education/Work Experience:Degree or advanced degree in data science, mathematics, statistics, computer science or related field. BS and 8-10 years related experience or MS and 5 years related experience or PhD and less than 2 years experience. Independence level/Reports to: Provides basic leadership and individually contributes to key data science projects/experiments of moderate scope and complexity with high impact on the business. Acts with considerable latitude in determining technical approach required to meet desired objectives. Normally reports to Director, Data Science Manager, or senior technical leader.

Key Responsibilities: Design, develop, and implement SAC dashboards, reports, and data visualizations based on business requirements.Build and maintain SAC data models , including live and import connections.Integrate SAC with SAP HANA, SAP BW/4HANA, SAP S/4HANA , and other SAP/non-SAP data sources.Develop and configure SAC Planning models for budgeting, forecasting, and variance analysis.Perform data wrangling, calculations, and transformations to prepare analytics-ready datasets.Collaborate with business stakeholders to gather requirements and deliver actionable insights.Optimize dashboard performance and ensure adherence to security and authorization best practices .Support testing, troubleshooting, and ongoing enhancements of SAC solutions. Technical Skills Required: Hands-on experience in SAP Analytics Cloud BI, Planning, and Predictive features .Strong expertise in story building, data modeling, and visualization best practices .Experience in SAC Planning with complex business scenarios.Proficiency in integrating SAC with SAP BW, SAP HANA, and S/4HANA .Good knowledge of cloud connectivity, security, and role management in SAC.Familiarity with scripting in SAC (e.g., Advanced Formulas in Planning ).Exposure to predictive analytics features in SAC is a plus. Qualifications: B.E./B.Tech/MCA in Computer Science, Information Technology, or related field.SAP SAC Certification preferred (not mandatory).46 years of experience working on SAC implementations and enhancements.Experience with at least 2 full-cycle SAC project implementations. Key Competencies: Strong analytical and problem-solving skills.Excellent communication and stakeholder engagement abilities.Ability to work independently as well as in a collaborative team environment.Detail-oriented with a commitment to delivering high-quality solutions.

About The Role Project Role : Data Science Practitioner Project Role Description : Formulating, design and deliver AI/ML-based decision-making frameworks and models for business outcomes. Measure and justify AI/ML based solution values. Must have skills : Data Science Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Science Practitioner, you will be engaged in formulating, designing, and delivering AI and machine learning-based decision-making frameworks and models that drive business outcomes. Your typical day will involve collaborating with various teams to measure and justify the value of AI and machine learning solutions, ensuring that they align with organizational goals and deliver tangible results. You will also be responsible for analyzing data, interpreting results, and providing insights that inform strategic decisions, all while fostering a collaborative environment that encourages innovation and problem-solving. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing and mentorship within the team to enhance overall performance.- Develop and implement best practices for data analysis and model development to ensure high-quality outputs. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science.- Strong analytical skills with the ability to interpret complex data sets.- Experience with machine learning algorithms and statistical modeling techniques.- Familiarity with data visualization tools to effectively communicate insights.- Proficient in programming languages such as Python or R for data analysis. Additional Information:- The candidate should have minimum 5 years of experience in Data Science.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Job Summary: The Senior Manager, Data Science will lead a team of data scientists to develop advanced analytical models and drive data-driven decision-making across the organization. This role requires a strong blend of technical expertise, strategic thinking, and leadership skills. The Senior Manager will collaborate with cross-functional teams to identify business opportunities, design and implement innovative data solutions, and contribute to the companys overall strategic goals. Key Responsibilities: 1. Leadership and Team Management: Lead, mentor, and develop a team of data scientists. Foster a culture of innovation, collaboration, and continuous learning. Set clear goals and performance expectations for the team. 2. Strategy and Vision: Define and implement the data science strategy aligned with the companys objectives. Identify and prioritize data science projects that drive business value. Stay abreast of industry trends and emerging technologies to keep the organization at the forefront of data science. 3. Technical Expertise: Oversee the development and deployment of machine learning models and algorithms. Ensure best practices in data modeling, coding, and experimental design. Provide technical guidance on complex data science projects. 4. Collaboration and Communication: Work closely with business leaders to understand their needs and translate them into data science initiatives. Communicate findings and recommendations to both technical and non-technical stakeholders. Collaborate with data engineering, IT, and other departments to ensure data availability and integrity. 5. Project Management: Manage multiple data science projects, ensuring timely and successful delivery. Allocate resources effectively and balance team workloads. Monitor project progress and make adjustments as needed. 6. Performance Measurement: Develop metrics to measure the impact and effectiveness of data science initiatives. Continuously evaluate and refine models and strategies based on performance data. Report on key performance indicators to senior management. Qualifications: Education: Bachelors degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Masters or Ph.D. preferred. Experience: 7+ years of experience in data science or a related field. 3+ years in a leadership or managerial role within a data science team. Proven track record of delivering impactful data science solutions in a business context. Technical Skills: Expertise in statistical analysis, machine learning, and predictive modeling. Proficiency in programming languages such as Python, R, or SQL. Experience with data visualization tools like Tableau, Power BI, or similar. Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure). Soft Skills: Strong analytical and problem-solving abilities. Excellent communication and presentation skills. Ability to translate complex technical concepts into actionable business insights. Strong organizational and project management skills. Preferred Qualifications: Experience in [specific industry or domain relevant to the company]. Knowledge of deep learning, NLP, or other advanced AI techniques. Experience with Agile methodologies and project management tools.

Overview Strategically design Test processes and lead development of Manufacturing Test solutions and applications involving electro mechanical Hardware and Software code development. Primary role is to design and develop solutions using latest tools and technologies to create most efficient and optimized manufacturing processes. This role requires innovative mindset to create new and different to influence and provide direction to leadership teams to adopt new manufacturing technologies positively impacting Zebra business. This position offers future advancements to the right candidate into leadership roles in Technical operations arm of Supply chain to lead, develop, automate, optimize and innovate Manufacturing Test strategies & solutions, for wide range of Zebra offered products and solutions. Responsibilities • Lead designing and architecting Test Strategies and solutions along with their execution with other team members. • Co-develop, strategize and lead projects in manufacturing space to create low cost, highly efficient and sustainable processes within Zebra adopted framework of Industrial standards. • Test software development along with hardware design of manufacturing test systems for calibration & functional testing of electronic devices and opto-mechanical electronic products. Such products include specialty printers, mobile computers, laser & imaging scanning products. • Document test solutions, drawings, schematics and specifications as per departmental practices. • Perform Measurement validation and acceptance criteria using Measurement System Analysis (MSA) tools to validate the designed test system (Cpk, GR&R). • Support product testing during the New Product Introduction (NPI) phase as well as sustaining support. • Lead in Benchmarking test solutions to latest technologies and trends in manufacturing environment with the goal to improve product quality, line efficiencies and throughput within LSS and I4.0 Framework • Makes changes to or upgrades existing systems. Enhances and improves existing technologies to apply to new solutions seeking new tools to analyze and solve problems. • Be able to echange ideas and articulate designs for test systems with peers and others in solution architectiure Qualifications • Minimum Education: o Bachelors Degree in Engineering(Electronics/Computer Sc./Physics) or Major in Physics • Minimum Work Experience (years): o 8 +Yrs. • Key Skills and Competencies: o Expert in (5+ yrs.) Python scripting, Labview, C++ o Minimum 2 yrs of experience in use of Data analytics tools and development – Power BI/Looker o Expert in Technical analysis with problem-solving capability associated with the manufacturing or functionality of electronic systems • Licenses/Certifications, special qualifications: o S/W development - training certifications • Equivalencies: o 5 yrs experience in S/w coding Position Specific Information: • Travel Requirements (as a % of time): 15-25% • Able to telework? Yes/no – if yes, % of time and expectations while teleworking: Yes. 30% - 40%Remote operation and provindig support.

We are searching for an experienced SAP DMC Consultant with a solid background in SAP MES (Manufacturing Execution System) and SAP MII (Manufacturing Integration and Intelligence) to join our team. As the SAP DMC (Techno-Functional) Lead, you will be responsible for architecting, designing, implementing, and integrating SAP Digital Manufacturing Cloud (DMC) solutions within manufacturing environments. Your role will involve collaborating with stakeholders across the business to drive digital transformation in manufacturing, offering technical leadership, and hands-on development/integrations. Key Responsibilities: - Design, implement, and support SAP DMC solutions, aligning with business processes in a manufacturing environment. - Integrate SAP DMC with the existing SAP S/4HANA ERP system. - Utilize experience in SAP MES and SAP MII systems to ensure a smooth transition and interoperability. - Lead integration efforts between SAP DMC, SAP S/4 HANA, SAP MES, SAP MII, and other third-party systems for seamless data exchange and interoperability. - Analyze manufacturing processes and recommend best practices for shop floor operations, enhancing efficiency, traceability, and real-time visibility. - Collaborate closely with production, IT teams, and management to assess requirements, define solutions, and deliver on digital manufacturing objectives. - Configure SAP DMC functionalities such as production orchestration, IoT integration, predictive quality, and performance analytics. - Collaborate with cross-functional teams to integrate DMC with SAP S/4 HANA, SAP ERP, and other systems. - Develop SAP interfaces and integrations using BAPI, IDoc, RFC, ALE, and OData services in collaboration with cross-functional teams. - Conduct technical workshops and training sessions for end users and technical teams. - Offer ongoing support and troubleshooting for SAP DMC post-implementation. - Document functional and technical specifications, processes, and workflows. Stay informed about the latest SAP technologies and advancements in Industry 4.0 and Digital Manufacturing solutions. Qualifications: - SAP Experience: 7 to 10+ years of hands-on SAP experience, emphasizing manufacturing-related modules like PP, QM, PM, MII. - Proven track record of successful SAP implementations, particularly in digital manufacturing or Industry 4.0. - SAP DMC Proficiency: Extensive knowledge of SAP Digital Manufacturing Cloud features, configuration, and integration points. - Experience with data models, analytics, and user interfaces within SAP DMC. - SAP BTP Knowledge: Practical experience with SAP Business Technology Platform (BTP) services, including integration and extension capabilities such as SAP Integration Suite and SAP Extension Suite. - Ability to design and implement cloud-based workflows and microservices to enhance SAP DMC functionality. - IoT Integration: Understanding of IoT-related technologies and protocols like MQTT, OPC-UA, and edge computing. - Ability to design end-to-end data flows from IoT devices to SAP systems, leveraging both on-premise and cloud-based solutions. - Communication & Leadership: Excellent written and verbal communication skills to effectively interact with clients, management, and project teams. - Demonstrated ability to lead teams, manage conflicts, and drive consensus among diverse stakeholders. - Education: Bachelor's or master's degree in computer science, Information Technology, Engineering, or related field (or equivalent work experience). Preferred Skills: - Experience in SAP Fiori and UI5 for custom development and enriched user experience. - Knowledge of AI/ML applications in manufacturing and experience in predictive analytics within SAP environments. - SAP Certifications in relevant modules like DMC, MII, PP, BTP. - Experience with SAP S/4HANA, SAP Analytics Cloud, and related SAP IoT services. - Familiarity with agile methodologies and DevOps principles for continuous integration and deployment.,

As the Chief AI Officer (CAIO) at RChilli, located in Mohali, you will play a pivotal role in shaping the AI strategy, innovation, and ethical deployment in HR Tech. With over 10 years of experience in AI/ML and leadership roles, you will lead the AI research and development initiatives, ensuring alignment with business objectives and compliance with industry regulations. Your responsibilities will include developing and executing the AI strategy, driving product innovation through NLP, machine learning, and predictive analytics, and overseeing the implementation of AI-powered solutions such as automated job descriptions, resume scoring, and chatbots. You will also be responsible for defining a scalable AI roadmap, managing AI infrastructure, and identifying opportunities for AI implementation to enhance operational efficiency. In addition to your technical expertise in AI, data science, and related fields, you will need to possess strong leadership and business skills. Your ability to align AI innovation with business goals, communicate effectively with stakeholders, and build and mentor an AI team will be crucial for success in this role. As a thought leader in the industry, you will represent RChilli in AI forums and conferences, staying ahead of AI trends and advancements in HRTech. By joining RChilli, you will have the opportunity to lead AI innovation, drive impactful work in HR operations and talent acquisition, and work with a passionate AI research and product team. In return, you will enjoy a competitive salary, benefits, and career growth opportunities. If you are a visionary AI leader ready to transform the HRTech industry, seize this opportunity to join RChilli as our Chief AI Officer and make a significant impact on the future of AI-driven HR solutions.,

You will be responsible for driving advanced financial data analysis and analytical modeling to support key operational areas, while reinforcing robust data governance, analytical control frameworks, and strategic decision-making support across the organization. Your role will involve acquiring, structuring, analyzing, and translating complex financial and operational data sets into actionable insights to drive data-informed business strategies. Additionally, you will support the Business Unit in Advanced Analytics, Financial Planning and Analysis (FP&A), including tasks related to Planning, Reporting, scenario modeling, and Financial Analysis. Your primary responsibilities will include developing and maintaining dynamic revenue and expense models, and analytical tools to identify trends, early indicators for both risks/opportunities, and predicting performance outcomes. You will emphasize reporting on Business Unit performance, focusing on revenue and applying statistical methods to interpret underlying business drivers. You will also architect and execute data-driven analysis on the annual budget, provide regular updates through monthly and quarterly analyses like Outlook and Latest Estimates (LEs), and contribute to the 3-year Vision and Strategy Plan (VSP). Furthermore, you will support the month-end financial reporting process, including generating reports to ensure accurate closing of monthly financials and conducting in-depth financial reporting and variance analysis. You will provide operational and business insight for key metrics across multiple functional areas and deliver technical insights and analytical support across functional domains by identifying trends, correlations, and causal relationships in key business metrics. Your role will involve leading initiatives to automate data collection, optimize the design of analytics infrastructure, tools, and visualizations, and drive strategic initiatives that promote growth and operational improvements. Key Responsibilities: - Revenue Management: Evaluate and monitor revenue across product segments using advanced analytics and data modeling. Apply statistical analysis and data science techniques to assess volume trends, customer usage behavior, and market dynamics to forecast revenue and pinpoint opportunities for optimization. Collaborate with sales, product management, and finance teams to align revenue and sales goals with business strategies. - Analytical Forecasting & Planning: Develop robust forecasting models using historical patterns, vendor invoices, and volume trends; apply predictive analytics, AI/ML-based forecasting to monitor variance and how actuals are tracking to proposed forecasts. Manage and analyze the cost structure and budget for the product management function by forecasting personal costs, overseeing 3rd party spend, and identifying budget risks and opportunities using sensitivity analysis and what-if modeling. - Business Intelligence and Performance Optimization: Contribute to identifying business unit opportunities and challenges for enhanced performance. Collaborate with leaders to identify and quantify performance drivers, business models, and gaps through advanced data analytics; identify new business models and workflows, contributing to building business cases for necessary investments and strategic plans. Collaborate with sales and business leaders to drive strategic goals and benchmarks through analyzing, forecasting, and identifying risks and opportunities within the sales to revenue generation of our transactional products. Education: - Minimum: Bachelor's degree in finance, accounting, data analytics/data science, or economics. - Preferred: Master's Degree/MBA in finance, Data Science, or economics. Experience, Knowledge, and Tools: - 4 years of experience in an analytical finance, data science, or business intelligence role. - Minimum Experience/Knowledge: Finance, Data Science/Analytics, or consulting experience, including proven experience in financial and data analytics, with exposure to predictive modeling, scenario planning, and performance measurement. Ability to meet tight deadlines and deliver quality results. Preferred Knowledge: Technical Skills: - Proficiency working with large, structured and unstructured datasets. - Advanced Excel modeling (nested logic, array functions, statistical formulas). - Strong skills in querying and scripting (SQL, Python) and familiarity with data pipelines and AI/ML based forecasting. Tagetik, PowerBI, and Great Plains experience is a plus. Soft Skills: - Self-motivated, works independently, and manages deadlines. - Comfortable with ambiguity and open to potential role changes. - Strong written and verbal communication skills, able to write documents seen at the highest levels of the company. Strong grammar, spelling, and general ability to write bullets is a must.,

As the Head of Digital Innovation & AI at Ceeco, you will play a pivotal role in revolutionizing the global education experience for students. Your primary responsibility will be to spearhead the complete digital transformation journey, encompassing the overhaul of our website, core systems, and the implementation of AI-driven automation tools and intelligent agents across various departments such as marketing, sales, accounts, HR, and operations. Your strategic vision and leadership will be instrumental in designing and executing technology and AI solutions that not only amplify student engagement but also streamline operational processes, ultimately fostering growth within the dynamic study abroad and ed-tech industry landscape. We are looking for a candidate who possesses a deep-seated passion for constructing digital ecosystems from scratch and harnessing the power of AI to deliver tangible and quantifiable business outcomes. If you are driven by the prospect of leveraging cutting-edge technologies to drive innovation and create a lasting impact, we encourage you to apply for this role. **Qualifications:** - Education: Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, IT, or a related field. - Experience: Minimum of 3 years in digital transformation, IT leadership, or AI solution delivery, with a proven track record of orchestrating technology implementations across multiple departments and laying the groundwork for AI integration. - Technical Skills: Proficiency in AI tools such as LLMs, NLP, predictive analytics, and computer vision. Familiarity with CRM, ERP, HRMS, and marketing automation platforms. Understanding of cloud environments like AWS, Azure, Google Cloud, and integration frameworks. - Soft Skills: Exceptional communication and stakeholder engagement abilities. Strong project management and vendor negotiation skills. Visionary mindset coupled with a strong bias for execution. This is an onsite job with a salary package that is benchmarked as the best in the industry. To express your interest in this transformative opportunity, please reach out to us at hr@ceecpintl.com or contact us at 9633066701.,

At EY, youll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. We're looking for a Senior Consultant with expertise in Tagetik Techno functional to join the leadership group of our Consulting Team. This is a fantastic opportunity to be part of a leading firm while being instrumental in the growth of a new service offering. Your key responsibilities include supporting client needs by delivering Tagetik consolidation or Planning modules, integrating Tagetik with multiple source systems, merging, customizing, and deploying Tagetik as per client business requirements. You should have experience working with clients throughout various parts of the implementation lifecycle, be proactive with a solution-oriented mindset, and be ready to learn new technologies for client requirements. To qualify for the role, you must have 6-9 years of relevant experience in implementation planning and consolidation modules, with 2-4 years in Tagetik products. You should have a good understanding of Tagetik functionality and setup, hands-on experience in AIH and predictive analytics, familiarity with FST definition, MDM calculations, Smart now modules, ETL, and mapping and calculations. Additionally, you should be able to develop and maintain solid knowledge on consolidations in Tagetik, design workflow and metadata in Tagetik, and provide system solutions to Tagetik issues and enhancements. Ideally, you'll also have a strong understanding of the data close process, be proficient in building and extending metadata functionalities, and be able to prioritize deliveries in conjunction with the implementation team. What we look for in candidates is the ability to drive Tagetik technical and functional assignments, and an opportunity to be a part of a market-leading, multi-disciplinary team of 10,000+ professionals. Working at EY offers support, coaching, feedback, opportunities to develop new skills, progress in your career, freedom, and flexibility to handle your role in a way that's right for you. As a global leader in assurance, tax, transaction, and consulting services, EY is dedicated to building a better working world. If you meet the criteria mentioned above, we encourage you to apply and join us in building a better working world at EY.,

As the Manager, Financial Planning & Analysis (FP&A), you will play a crucial role as a strategic partner to senior leadership, facilitating financial clarity and promoting quicker, more informed business decisions. Your responsibilities will involve spearheading the transformation of the organization's planning processes, resource allocation methods, and responses to a dynamic market landscape. Your leadership will be instrumental in overseeing the end-to-end planning, budgeting, and forecasting procedures, incorporating insights derived from data and fostering digital innovation within the company's financial framework. In addition to ensuring operational excellence, you will drive the evolution of the FP&A function, advocating for strategic financial endeavors, nurturing a culture of continuous enhancement, and equipping teams with the necessary tools and skills to unlock value. Through your guidance, the business will be empowered to anticipate opportunities, mitigate risks, and facilitate growth confidently. Key Responsibilities: - Lead Financial Planning Cycles: Take charge of and enhance the annual budgeting, quarterly forecasting, and long-range planning processes to align them with strategic goals. - Deliver Strategic Insights: Offer impactful financial analysis, scenario modeling, and performance metrics to guide executive decision-making and influence business outcomes significantly. - Transform FP&A Capabilities: Promote the advancement of FP&A through automation, predictive analytics, and digital tools that enhance speed, precision, and flexibility. - Drive Strategic Finance Projects: Lead cross-functional endeavors focused on cost optimization, investment prioritization, and enterprise-wide performance enhancement. - Foster Innovation & Digital Fluency: Cultivate a forward-thinking FP&A culture by advocating for the usage of advanced analytics platforms (e.g., Power BI, Tableau, Anaplan) and promoting continuous learning. - Collaborate Across the Business: Engage with key stakeholders in Operations, Commercial, and Technology to ensure that financial strategies are integrated and actionable. Qualifications And Experiences: Education & Certifications: - Bachelor's or Master's degree in Finance, Accounting, or a related field. - Possession of a professional certification such as CPA, CMA, or equivalent is highly preferred. Technical Proficiency: - Proficiency in financial systems and tools, including ERP platforms like Epicor, SAP, ORACLE, or similar. - Proficient in BI tools and advanced financial planning systems. - Advanced skills in Microsoft Excel, encompassing complex modeling and data analysis. Process & Systems Optimization: - Demonstrated capability to drive process enhancements, automation, and operational efficiencies within FP&A. - Experience in designing and implementing robust, dynamic forecasting models that incorporate scenario planning, predictive analytics, and real-time data insights. Strategic Financial Leadership: - Proven track record of enhancing decision support through data-driven financial strategies. - Ability to translate intricate financial data into clear, actionable recommendations for senior leadership.,

You will be working closely with a team of engineers specializing in water resources, drainage, hydrology, and hydraulics design projects and associated clients. Your role will involve utilizing software such as HEC programs, XP-SWMM, MOUSE, and others to address water resources issues effectively. It is essential to have a strong technical background in water resources engineering and possess excellent communication and organizational skills. Collaborating with the Water Resources Engineering (WRE) team, you will help identify and pursue opportunities where Walter P Moore can excel. Building a national network of clients and consultant partnerships will be key to positioning the WRE group strategically. Additionally, you will have the chance to work with GIS-based tools like ArcGIS, QGIS, or Google Earth Engine for watershed modeling and floodplain mapping. This role offers exposure to sustainable urban drainage systems, green infrastructure, and climate adaptation strategies for flood control. You will also have the opportunity to mentor junior engineers, conduct knowledge-sharing sessions, handle large datasets, real-time monitoring systems, and automation systems. Moreover, you will gain insights into machine learning applications in hydrology and predictive analytics for flood forecasting. Having an existing client network would be advantageous for this position. Qualifications for this role include a Bachelor's degree in Civil Engineering (Master's preferred with a focus on hydrology/hydraulics, water resources, or related fields), along with 6-12 years of relevant experience. Demonstrated proficiency in drainage design, familiarity with software/modeling programs like HEC, XP-SWMM, 2D modeling, and strong verbal and written communication skills are required. Walter P Moore is committed to equal employment opportunities, providing competitive compensation and benefits to all employees and applicants without discrimination based on any protected characteristic under federal, state, or local laws. Walter P Moore is a global firm comprising engineers, architects, innovators, and creative professionals dedicated to solving complex structural and infrastructure challenges worldwide. Our services encompass structural, diagnostics, civil, traffic, parking, transportation, enclosure, WPM technology, and construction engineering. With a legacy dating back to 1931 and headquartered in Houston, Texas, our team of over 1000 professionals operates from 26 U.S. offices and 8 international locations.,

As a Data Scientist with a proven track record in Predictive analytics, your main responsibilities will include building and modeling scorecards, developing analytical models to assess risk profiles of customers, identifying cross-sell opportunities, and fraud control for both new and existing customers. You will be responsible for developing and deploying various scorecards and models for credit risk and retail asset products within specified timelines, ensuring alignment with the Bank's strategies for maximum efficiencies. Your role will also involve estimating the probability of default from the scorecards, monitoring deviations from expected default rates, identifying opportunities for business growth, and providing risk alerts to control NPAs. You will be expected to formulate data cuts and strategies to assess credit risk, provide feedback to stakeholders for model improvement, develop novel approaches in Risk modeling, and adopt the latest trends in fintech companies. Additionally, you will work on the automation of scorecards in the Analytics domain and explore untapped data sources within the Bank's ecosystem to meet business objectives. You will be encouraged to innovate, evolve processes, and make significant changes to save time, energy, and money while handling any other assignments as per the organization's needs. To qualify for this role, you should have an educational background in MCA/MTech/MSc Statistics or Economics/BTech/MBA or equivalent in Computer Science/Statistics, with a strong inclination towards machine learning algorithms. Key skills required include excellent problem-solving capabilities, strong fundamentals in computer science, technical and analytical skills, hands-on experience in data wrangling, feature engineering, and deploying scalable machine learning algorithms. Moreover, you should possess strong written and verbal communication skills and stay updated on current trends in the machine learning/analytics field. Ideally, you should have at least 2+ years of experience in analytics, predictive modeling, or machine learning, with proficiency in Python/R for building and deploying scalable analytics models. Exposure to the banking sector would be advantageous for this role.,

About Sriggle Sriggle, established in 2015, is a Travel Technology company founded by a team of experienced industry professionals with a profound understanding of end-to-end user needs. The team's collective expertise has led to the development of a comprehensive platform that adheres to global best practices. Within a brief period, the dedicated team has successfully positioned Sriggle as a key player in the travel technology sector. Their commitment to innovation is evident through the creation of a voice-enabled solution powered by Artificial Intelligence, which has garnered recognition. Sriggle's adherence to quality is underscored by its ISO 27001 certification for product development processes. Headquartered in Faridabad, India, Sriggle operates on an international scale with branch and sales offices located in Dubai, So Paulo, and Switzerland. Responsibilities - Identify and research clients utilizing AI-driven market intelligence tools and predictive analytics. - Cultivate client relationships through omnichannel engagement, both virtually and in-person. - Develop data-driven sales proposals accompanied by dynamic presentations. - Leverage CRM automation to enhance sales pipelines and manage client lifecycles efficiently. - Enhance revenue growth by aligning with agile sales methodologies. - Collaborate with product teams to incorporate customer feedback into solution development. - Conduct analysis of market trends and competitive intelligence to inform strategic positioning. Qualifications & Experience Required - A Bachelor's degree in business, Marketing, Data Analytics, or a related field. - 3-8 years of experience in business development, sales, or client-facing roles. - Proficiency in digital tools, SaaS platforms, and sales enablement tools. - Prior experience in travel technology, travel industry, SaaS, or AI-driven solutions (preferred). - Certification in agile sales methodologies (e.g., MEDDIC, SPIN) would be advantageous.,

Red Nucleus is seeking a VP of Enterprise Data Strategy & AI Innovation to become a part of the leadership team. The role can be performed remotely on a full-time basis within the United States. At Red Nucleus, our mission is to advance knowledge for the betterment of lives. We excel in providing strategic learning and development, scientific advisory services, and medical communications solutions to the life sciences industry. With a global team of almost 900 dedicated full-time employees, our commitment to creativity, quality, and timely delivery is unparalleled in our sector. Our work environment at Red Nucleus is designed to inspire innovation and encourage employees to bring out their best. We value meaningful work, a strong sense of community, and a fun atmosphere. Recognized internationally as a Great Place to Work, we take pride in celebrating our team members and their contributions. As the VP of Enterprise Data Strategy & AI Innovation, you will hold a key leadership position within the Innovation Office, reporting directly to the Chief Innovation Officer (CINO). Your primary responsibility will be to define and implement a forward-looking data strategy in collaboration with the CINO to drive innovation, improve efficiency, and unlock significant business value. Working closely with various Business Units across the organization, you will identify opportunities, guide analytics investments, and lead a team of data scientists to develop AI-driven solutions. This role requires a combination of strategic vision and operational execution to facilitate the organization's transition from being data-rich to becoming insight-led and AI-enabled. Your responsibilities will include: - Strategic Leadership: Partner with the Chief Innovation Officer to develop and drive the enterprise data strategy in alignment with the innovation agenda. Serve as a strategic advisor to Business Unit leaders, translating business challenges into data-driven roadmaps. - Innovation & Productization: Lead the design and development of scalable, repeatable data products and AI tools to enhance internal operations and client-facing services. Prioritize innovation initiatives for service delivery transformation and efficiency gains. - Team & Operational Oversight: Build, lead, and develop a high-performing data science and analytics team. Drive the execution of projects involving machine learning, statistical modeling, data automation, and predictive analytics. - Efficiency & Enablement: Use data and automation to streamline internal processes, reduce manual work, and accelerate insight generation. Develop dashboards, reports, and decision support tools to facilitate smarter decision-making. - Governance & Collaboration: Collaborate with the Chief Innovation Officer to ensure strategic alignment with the broader enterprise innovation strategy. Work cross-functionally with IT, Legal, and Compliance teams to ensure ethical and responsible data use. The successful candidate should possess a Bachelor's or Master's degree in Data Science, Computer Science, Engineering, or a related field, along with at least 15 years of experience in data strategy and analytics. Experience in leading cross-functional teams, developing data strategies that drive business transformation, and a deep understanding of data science, AI/ML, cloud data platforms, and modern analytics stacks are essential. Strong communication, leadership, and change management skills are also required. If you are a strategic thinker with a passion for innovation and a proven track record of leveraging data to create business impact, we invite you to apply for this exciting opportunity at Red Nucleus.,

You are seeking a highly skilled and data-driven People Analytics Manager to lead HR analytics initiatives that require a unique blend of technical expertise, data insights, gap analysis, business acumen, and stakeholder management to deliver actionable insights driving strategic workforce decisions. The ideal candidate should possess a strong background in data science, business intelligence, and human capital analytics. Key Responsibilities: - Lead the design, development, and delivery of HR dashboards and reports using tools like Power BI and Tableau. - Collaborate with HR leaders, IT, and business stakeholders to identify key workforce challenges and provide data-driven solutions. - Conduct descriptive, diagnostic, and predictive analytics to support talent management, employee engagement, retention, and workforce planning. - Translate complex data into compelling storytelling and visualizations for executive-level presentations. - Ensure data quality, governance, and compliance with internal and external standards. - Leadership capabilities in managing and closing key projects involving Design, Development, Implementation, and Delivery of Technical Solutions of various enterprise application products including Release Management. Required Skills & Qualifications: - Bachelors or masters degree in computer science, Data Science, Statistics, HR Analytics, or related field. - 10+ years of experience in data analytics, with at least 3 years in People Analytics or HR Analytics. - Skills: BI Expert in Power BI & Tableau, Machine Learning, SQL, Advanced MS Excel, R Script, Python, Automation(VBA), Predictive analytics, and Storytelling. - Strong understanding of HR data, metrics, and KPIs. - Excellent communication and stakeholder management skills. - Certifications in ITIL, Six Sigma, or Data Science are a plus. What will your job look like - Responsible for Implementation Management - Setup and drive Product implementation lifecycle of a project. - Lead the team to resolve technical challenges. - Lead unit level initiatives to build the technical competency to meet the needs of the team or unit. - Accountable for software development and/or maintenance project planning, execution, monitoring, risk management, resolution of issues, and achievement of the targets set for the project. - Monitor the progress and predict risks (Quality, timeline, and budget) as needed and take necessary mitigation activities. Why you will love this job: - Work with a passionate team at the intersection of HR and Data Science. - Drive meaningful impact through data-informed decision-making. - Be part of a culture that values innovation, learning, and collaboration. About Amdocs: Amdocs helps those who build the future to make it amazing. With a market-leading portfolio of software products and services, Amdocs empowers customers to provide next-generation communication and media experiences. Amdocs accelerates service providers" migration to the cloud, enables them to differentiate in the 5G era, and digitalize and automate their operations. Amdocs is an equal opportunity employer committed to fostering a diverse and inclusive workforce.,

The role aims to establish the strategic direction for the team, assuming responsibility for the overall Insights and analysis discipline in the market. You will collaborate with various channels to ensure an integrated response to people-based marketing objectives. We are in search of an experienced Advanced Analytics Senior Manager to become a part of our dynamic team. This position is dedicated to utilizing advanced analytics techniques, which include machine learning algorithms, Generative AI (GenAI), and large language models (LLMs), to facilitate data-driven decision-making within the retail/CPG domain. The ideal candidate should have a solid quantitative background, a keen interest in translating complex data into actionable insights, significant experience in leading mid-to-large sized teams, and the capability to design, evaluate, and implement RFPs, POCs, approaches, and frameworks. Responsibilities: - Develop, implement, and manage advanced analytical models leveraging machine learning algorithms and GenAI applications. - Apply various advanced analytics techniques to reveal trends, patterns, and insights from extensive and intricate datasets. - Work closely with cross-functional teams to identify business requirements and provide data-driven solutions. - Design visually appealing dashboards and reports to communicate findings to stakeholders. - Continuously assess and enhance existing analytics methodologies and models for improved accuracy and performance. - Keep updated on industry trends and advancements in analytics and machine learning to foster innovation within the team. - Mentor junior team members and contribute to knowledge sharing across the organization. Basic Qualifications: - Bachelor's or Master's degree in Data Science, Business Analytics, Mathematics, Statistics, or a related field. - Over 10 years of experience in advanced analytics, data science, machine learning, Generative AI, or a related field. - Profound experience in quantitative modeling, predictive analytics, text analytics, and forecasting methodologies. - Proficiency in SQL (or Google BigQuery), Python, and visualization tools such as Tableau/PowerBI. - Familiarity with the Retail/CPG/Tech industry and exposure to product, transaction, and customer-level data. - Excellent communication skills, both verbal and written, with the ability to convey complex concepts to non-technical stakeholders. - Strong analytical and problem-solving skills, coupled with an inquisitive mindset. Desired Skills: - Proficiency in various advanced analytics techniques, including Descriptive Analytics, Predictive Analytics, Prescriptive Analytics, and Text Analytics. - Extensive knowledge of machine learning techniques, encompassing Supervised Learning, Unsupervised Learning, and Reinforcement Learning. - Experience with Generative AI and large language models (LLMs) for text generation, summarization, and conversational agents. - Proficiency in data visualization tools like Tableau or Power BI. - Strong skills in data management, structuring, and harmonization to support analytical requirements. Location: Coimbatore Brand: Merkle Time Type: Full time Contract Type: Permanent,

As a Senior AI eCommerce Developer at Orange Business, you will play a crucial role in developing robust systems that seamlessly integrate traditional eCommerce functionalities with AI-driven enhancements. Your responsibilities will include estimating workloads, planning projects, and monitoring execution to ensure timely delivery and high quality. You will have the opportunity to build AI-powered capabilities that drive conversational commerce, predictive analytics, dynamic pricing models, and personalized customer journeys. Collaboration with cross-functional teams across Europe and North Africa is essential to align technical solutions with business objectives. In this role, you will mentor and guide development teams on industry best practices, design patterns, and emerging technologies. Facilitating technical decision-making and ensuring all deliverables meet rigorous standards for security, performance, and scalability will be key aspects of your responsibilities. Identifying and resolving intricate technical and business challenges by proposing innovative and optimized solutions will be part of your daily tasks. Your active participation in agile ceremonies such as scrum and sprint planning will be crucial in adapting quickly to evolving priorities based on feedback and market needs. Your experience in building scalable enterprise-grade eCommerce systems, coupled with proven expertise in front-end frameworks like Angular and microfront-end development, will be highly valued in this role. Proficiency in designing and developing RESTful APIs within a microservices architecture, as well as integrating complex systems, will be essential. Your knowledge of Continuous Integration practices, containerized environments, Business Process Management, and workflow automation will be utilized to ensure efficient end-to-end process management within the eCommerce ecosystem. Your soft skills, such as the ability to clearly explain technical concepts to non-technical audiences, proficiency in English (additional proficiency in French is a plus), strong multitasking abilities, adaptability, collaborative mindset, proactive approach to finding innovative solutions, and commitment to agile principles and continuous improvement, will contribute to your success in this role. Join Orange Business as a Senior AI eCommerce Developer and be part of a dynamic team that values innovation, collaboration, and excellence in eCommerce solutions.,

The position of Customer Experience Analyst based in Gurgaon involves being a skilled Business Analyst partner responsible for leveraging complex data sources to inform business decisions and drive premium product strategy. The role requires a strong analytical background, experience working with large datasets, excellent communication skills, and expertise in creating interactive dashboards and data modeling. You will have complete ownership and accountability of brand & sales funnel data, analyze data from internal and external sources, and conduct in-depth analyses to inform business decisions. Developing interactive dashboards using tools like Power BI/Tableau and creating data models to support business analytics and reporting needs will be key responsibilities. Proven experience in manipulating and extracting insights from large datasets, along with the ability to collaborate with cross-functional teams, is essential. In terms of customer research, you will support primary/secondary research projects, execute research design, questionnaire/discussion guide design, sample plan, and report preparation. Quick research execution using modern tools and platforms to enhance efficiency and effectiveness will also be part of your role. Additionally, you will continuously build knowledge of the auto/2W industry, track consumer and market trends, and cater to ad hoc business questions to aid brand strategy decision-making. Stakeholder management is a critical aspect of the role, involving liaising with internal cross-functional teams for data sourcing and analysis on time and in full. The ideal candidate will have at least 5 years of relevant experience, with a minimum of 2 years in agencies or CMI teams. Proficiency in MS Excel and PowerPoint, knowledge of Power BI, and experience working with large datasets and data sources are required. Strong communication, interpersonal, analytical, planning, and multitasking skills are also essential. A Bachelors degree in any specialization and a Post Graduation/Masters in Business Administration with a focus on Analytics are preferred qualifications. If you are ready to join our team and be part of our legacy, apply via our website today. Experience the freedom of embracing the road and riding with pure motorcycling passion while enjoying benefits such as fast track career growth, outstanding launches and riding events, leadership development programs, medical insurance, career progression opportunities, equal employment opportunities, employee discounts, voluntary parental coverage, rewards, and recognition, as well as maternity and paternity leave benefits.,

Genpact (NYSE: G) is a global professional services and solutions firm dedicated to shaping the future through the delivery of impactful outcomes. With a workforce of over 125,000 individuals spanning across 30+ countries, we are inspired by our innate curiosity, entrepreneurial agility, and commitment to creating enduring value for our clients. Our purpose, driven by the relentless pursuit of a world that works better for people, empowers us to serve and transform major enterprises, including the Fortune Global 500, leveraging our deep business and industry expertise, digital operations services, and proficiency in data, technology, and AI. We are currently seeking applications for the position of Business Analyst - Data Scientist. As a part of this role, you will be tasked with the development and implementation of NLP models and algorithms, extracting insights from textual data, and collaborating with cross-functional teams to deliver AI solutions. Responsibilities: Model Development: - Proficiency in various statistical, ML, and ensemble algorithms. - Demonstrated expertise in Time series algorithms and forecasting use cases. - Ability to discern model-specific strengths and weaknesses and identify suitable models for different problem types. - Understanding of evaluation metrics and the ability to recommend the correct evaluation metric for a given problem. Data Analysis: - Extraction of meaningful insights from structured data. - Data preprocessing for ML/AI applications. Collaboration: - Close collaboration with data scientists, engineers, and business stakeholders. - Providing technical guidance and mentorship to team members. Integration and Deployment: - Integration of ML models into production systems. - Implementation of CI/CD pipelines for continuous integration and deployment. Documentation and Training: - Documentation of processes, models, and results. - Provision of training and support to stakeholders on NLP techniques and tools. Qualifications we seek in you: Minimum Qualifications/Skills: - Bachelor's degree in computer science, Engineering, or a related field. - Strong programming skills in Python and R. - Experience with DS frameworks (SKLEARN, NUMPY). - Knowledge of machine learning concepts and frameworks (TensorFlow, PyTorch). - Strong problem-solving and analytical skills. - Excellent communication and collaboration abilities. Preferred Qualifications/Skills: - Experience in Predictive Analytics and Machine Learning techniques. - Proficiency in Python/R/Any other open-source programming language. - Experience with visualization tools such as Tableau, Power BI, Qlikview, etc. - Applied statistics skills including distributions, statistical testing, regression, etc. - Knowledge and experience with various tools and techniques in Forecasting, Linear Regression, Logistic Regression, Regularization, Segmentation, Cluster Analysis, Factor Analysis, Machine Learning (Random Forest, Gradient Boosting, SVM, XGBoost, Deep Learning), etc. - Familiarity with big data technologies (Hadoop, Spark) and cloud platforms (AWS, Azure, GCP). This is a full-time position located in India-Hyderabad. If you are a dynamic professional with a passion for driving innovation and creating impactful solutions, we invite you to apply for this exciting opportunity.,

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.,