523 Predictive Analytics Jobs - Page 6

As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another Document solution architectures, design decisions, implementation details, and lessons learned. Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation Preferred technical and professional experience Experience and working knowledge in COBOL & JAVA would be preferred Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus Demonstrate a growth mindset to understand clients' business processes and challenges

You are a seasoned Pega CDH Developer with over 8 years of experience, including at least 1 year in Pega Decisioning & Marketing modules. You have a proven track record of building and implementing model-driven, enterprise-level business solutions and applications. Your expertise in Pega Decisioning and Marketing skills, along with your ability to make model changes, is essential for this role. Your responsibilities include implementing Pega Marketing and demonstrating a strong understanding of Pega methodologies. You possess excellent object-oriented analysis and design skills, as well as system integration skills. Your experience with various rules and features such as Flows, Activities, User Interface, Agents, SLA, Security, Reports, and more will be crucial for success in this position. Collaboration is key in your role, as you will work closely with business stakeholders, analysts, data governance, and technical leads to ensure the right solutions are developed to meet business needs. Your understanding of Predictive and Adaptive Analytics, as well as Artificial Intelligence capabilities in Pega, will be highly valuable. You have hands-on experience in implementing Pega integration services using REST, SOAP, and other technologies. Your knowledge of industry-standard project delivery frameworks like Agile, Waterfall, and Scrum will guide your approach to work. Your expertise in Pega Certified Decisioning Consultant (PCDC) and Pega Certified Marketing Consultant (PCMC) will be a significant advantage. You are well-versed in PRPC design and implementation features and have a strong desire to work in a global offshore/onshore model. Overall, your advanced knowledge and experience in Pega architecture, design, and implementation make you the ideal candidate for this role.,

The AI Presales Consultant is responsible for bridging the gap between technical expertise in Artificial Intelligence (AI) and the business requirements of international prospects. You will engage directly with clients to identify industry-specific use cases for Generative AI, design tailored solutions, collaborate with AI engineering teams, and develop compelling proposals that clearly articulate business value and technical feasibility. Your key responsibilities will include conducting industry-specific research to identify relevant AI and Generative AI use cases, assessing and differentiating between viable solutions, collaborating with AI Engineers to design tailored AI solutions, developing detailed user flows and solution architecture documents, leading client-facing demonstrations and proof-of-concept presentations, and maintaining strong client relationships. To qualify for this role, you should have a Bachelor's Degree in Computer Science, Engineering, IT, or related field, with advanced degrees preferred. You should have at least 7 years of experience in AI presales, solutions consulting, or business analysis roles. Demonstrable understanding of core AI and Generative AI concepts, experience in creating technical proposals, excellent communication and presentation skills, and the ability to manage multiple client engagements concurrently are essential qualifications. Preferred attributes include experience working with global clients, a self-motivated approach to learning emerging technologies, strong organizational skills, and familiarity with AI tools and cloud platforms. If you have a passion for innovation and possess the required technical expertise and business acumen, this role offers an exciting opportunity to drive strategic business enablement through AI solutions.,

As a participant in the Siemens Energy Graduate Program, you will have the opportunity to kickstart your career and develop into a future leader and innovator. This global program is designed to provide mentorship, hands-on experience, and training to facilitate your professional growth and expand your network within the industry. From day one, you will be involved in meaningful assignments that will deepen your understanding of Siemens Energy platforms and services utilized globally. Working closely with a dedicated mentor, you will have the chance to explore various roles, establish valuable connections, and access resources to support your career advancement. Joining a dynamic and motivated team, you will be at the forefront of tackling challenges and transforming them into opportunities, thereby making a tangible impact every day. As a member of the Siemens Energy Graduate Program, you will contribute to the company's mission of energizing society by assisting customers in their transition towards a more sustainable world. You will tackle real global issues and devise solutions that directly influence positive change. Key responsibilities will include designing solutions using Python or Java, demonstrating attention to detail, and applying analytical skills to drive decision-making processes. An openness to learning and adopting SAP Enterprise Resource Planning platform-based technologies will be crucial for success in this role. Your duties will encompass participating in portfolio architecture designs, steering technology direction within a portfolio of applications aligned with business objectives, and optimizing applications and technologies within specific business domains. Moreover, you will play a role in exploring and implementing AI and Generative AI technologies to enhance business processes. This will involve contributing to the development of AI models and algorithms for data analysis and predictive analytics. To excel in this position, you should bring expertise in collaborating with the global ERP team to design and develop solutions, a strong grasp of business processes, the ability to perform technological maturity assessments, and experience in defining technological roadmaps in various environments. Additionally, proficiency in AI and generative AI models, coupled with hands-on implementation experience, will be highly beneficial. The ideal candidate will possess practical work experience of 3+ months, including internships, working student activities, or employment, and hold a master's degree or equivalent experience in computer science/information technologies. Excellent English language skills, flexibility, mobility, and the ability to effectively collaborate within a diverse, multi-disciplinary team are essential qualities. Siemens Energy is a global company with a commitment to driving the energy transition and ensuring reliable and sustainable energy solutions are available to meet the world's growing energy demand. With a focus on decarbonization, new technologies, and energy transformation, we are dedicated to making a difference in the global energy landscape. Join us at Siemens Energy and be part of a team that celebrates diversity, inclusion, and innovation. We believe in generating power through our differences and welcome individuals from all backgrounds, regardless of ethnicity, gender, age, religion, identity, or disability. Our inclusive culture energizes society as we work towards a sustainable and equitable future for all. As an employee of Siemens Energy, you will enjoy a range of benefits including remote working arrangements, opportunities to collaborate with a global team, involvement in innovative projects, medical benefits, paid time off, parental leave, and access to continual learning resources through the Learn@Siemens-Energy platform. Discover how you can contribute to the energy transition at Siemens Energy by visiting: [Siemens Energy Careers](https://www.siemens-energy.com/employeevideo),

You are an experienced Recruiting Center of Excellence (COE) Expert who will play a key role in designing and implementing effective recruiting strategies for Trianz as it evolves into an IP-led digital software and services company. Your focus will be on developing the Employer Value Proposition (EVP), strengthening the talent brand, improving recruiting processes, and ensuring a consistent and high-quality candidate experience. Your responsibilities will include developing and maintaining a talent acquisition strategy aligned with Trianz's business goals, designing recruiting frameworks to support the digital-first transformation, and refining the EVP to effectively communicate the company's values. You will lead the development of branding materials and campaigns to increase awareness and attract key talent, collaborate with Marketing and Communications for consistent messaging, and enhance Trianz's reputation as a preferred employer in the digital space. Improving end-to-end recruiting processes, implementing tools for transparency and quality in hiring, and automating recruitment workflows will be part of your role. You should have experience in ATS/HCM rollouts, familiarity with AI/predictive analytics tools in recruitment, and the ability to deliver data-driven insights. Collaborating with HR Business Partners, Talent Acquisition teams, and business leaders to align recruiting plans with workforce needs is essential. You will advise stakeholders on trends, tools, and metrics to strengthen recruiting outcomes, and support hiring teams with training and resources for consistent application of new practices. Defining and tracking KPIs, success measures, and regular reporting to highlight achievements and areas for development will be part of your responsibilities. You should have a Bachelors degree in Human Resources, Business, Marketing, or related field, with 8-10 years of experience in talent acquisition or related HR roles. Join Trianz to be part of a transformational company where your work will make a visible impact on success. You will have the opportunity to build a strong talent brand, work with a collaborative team, and contribute to an environment that values innovation and accountability.,

As a Senior Consultant (Project Lead) in the Talent Solutions Consulting practice, you will be responsible for managing and leading high-impact projects focusing on compensation, rewards, and talent transformation. Your role will involve working closely with clients, providing strategic solutions, and contributing to thought leadership initiatives within the organization. Your key responsibilities will include: - Developing and implementing talent strategies such as organization design, digital transformation, performance management, and skill gap analysis. - Engaging with clients as a trusted advisor, managing project timelines effectively, and ensuring high-quality deliverables. - Contributing to internal research, events, and whitepapers to drive thought leadership in the industry. - Supporting business development efforts by creating solutions and proposals for both new and existing clients. To be successful in this role, you should have: - 3-5 years of experience (post-MBA) or 6-7 years of experience (post-graduate) in compensation & benefits, rewards, talent consulting, or workforce strategy. - A degree in HR, Economics, Statistics, Business Analytics, or related fields. An MBA/PGDBM from Tier I Colleges is preferred. - Proficiency in Advanced Excel and a strong understanding of tools like R, VBA, predictive analytics, or modeling would be advantageous. - Excellent storytelling, data visualization, and presentation skills. - Strong project management capabilities with the ability to lead multiple workstreams simultaneously. - Flexibility to travel as required by project needs. If you are passionate about using data, insights, and strategy to solve people challenges, we invite you to join our team and make a significant impact in the Talent Solutions Consulting domain.,

At PwC, we focus on leveraging data to drive insights and make informed business decisions. Our team in data and analytics utilizes advanced analytics techniques to help clients optimize their operations and achieve their strategic goals. In this role, you will be responsible for utilizing advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. Your primary focus will be on data manipulation, visualization, and statistical modeling to assist clients in solving complex business problems. PwC US - Acceleration Center is currently looking for individuals with a strong analytical background to join our Analytics Consulting practice. As an Associate, you will work closely with business analytics teams in India and collaborate with clients and consultants in the U.S. You will lead teams for high-end analytics consulting engagements and provide valuable business recommendations to project teams. Candidates with a minimum of 2 years of hands-on experience are encouraged to apply for this position. **Must Have:** - Experience in building ML models in cloud environments, such as Azure ML, AWS SageMaker, or Databricks - Knowledge of predictive/prescriptive analytics, including usage of Log-Log, Log-Linear, Bayesian Regression techniques, Machine Learning algorithms (Supervised and Unsupervised), deep learning algorithms, and Artificial Neural Networks - Good understanding of statistics, including statistical tests & distributions - Experience in data analysis, including data cleansing, standardization, and data preparation for machine learning use cases - Proficiency in machine learning frameworks and tools, such as scikit-learn, mlr, caret, H2O, TensorFlow, Pytorch, MLlib - Advanced level programming skills in SQL or Python/Pyspark - Expertise with visualization tools like Tableau, PowerBI, AWS QuickSight, etc. **Nice To Have:** - Working knowledge of containerization (e.g., AWS EKS, Kubernetes), Dockers, and data pipeline orchestration (e.g., Airflow) - Strong communication and presentation skills **Roles And Responsibilities:** - Develop and execute project & analysis plans under the guidance of the Project Manager - Interact with and advise consultants/clients in the US as a subject matter expert to formalize data sources, datasets, and data clarifications needed for data and business problem understanding - Drive and Conduct analysis using advanced analytics tools and mentor junior team members - Implement quality control measures to ensure deliverable integrity - Validate analysis outcomes and recommendations with stakeholders, including the client team - Create storylines and deliver presentations to the client team and PwC project leadership - Contribute to knowledge-sharing and firm-building activities **Professional And Educational Background:** - Any graduate / BE / B.Tech / MCA / M.Sc / M.E / M.Tech / Masters Degree / MBA,

As a Managing Consultant in Business Experimentation at Mastercard, you will be a part of the Advisors & Consulting Services group, specializing in Strategy & Transformation, Performance Analytics, Business Experimentation, Marketing, and Program Management. Your role will involve advising executives on business decisions using Mastercard's predictive analytics SaaS platform, Test & Learn. By working closely with customers, you will help identify key priorities, design and execute business experiments, and determine the effectiveness of different ideas to guide deployment strategies. Your responsibilities will include leading client engagements across various industries and problem statements, developing strategies and programs for regional and global clients, and fostering key relationships with mid-level to senior client stakeholders. You will leverage data science tools such as Test & Learn to provide analytical and technical expertise, driving client success through the adoption and mastery of the platform. In addition to client impact, you will play a crucial role in team collaboration and culture. Leading your team to deliver insightful business recommendations, conducting day-to-day project delivery, and fostering a collaborative environment at all levels will be key aspects of your role. Collaboration with internal stakeholders at Mastercard, including Product and Business Development teams, to scope projects, create client solutions, and contribute to the firm's intellectual capital will also be a part of your responsibilities. To excel in this role, you should possess an undergraduate degree with analytical experience in consulting, analytics, or data science. Experience in coaching and managing teams, as well as managing key client relationships, is essential. Proficiency in business KPIs, financials, and organizational leadership, along with the ability to identify new business opportunities, draft proposals, and analyze large datasets to provide key recommendations, are important qualifications. Strong communication skills in English and the ability to work in a fast-paced, deadline-driven environment are also required. Preferred qualifications for this role include additional experience in data modeling, database management, data visualization tools, or time series analysis. Industry expertise and an MBA or masters degree with relevant specialization are desirable but not mandatory. At Mastercard, information security is of utmost importance. As a part of the organization, you are expected to adhere to security policies, maintain confidentiality and integrity of accessed information, report any security violations, and undergo periodic security training as per Mastercard guidelines.,

As an Indian MNC specializing in Renewable Energy Project Development, Construction, and Operations, the POWERCON Group is committed to providing innovative solutions to serve both domestic and global markets. With its flagship ventures, POWERCON Ventures and PowerSun, along with strategic partnerships and specialized SBUs, the group forms a comprehensive ecosystem catering to the Renewable Energy delivery chain. The Group's significant Wind and Solar service portfolio, totaling more than 2.5 GW of Operations, 0.75 GW of Construction, and 0.5 GW of Development in India, showcases its leadership in the industry. Moreover, globally managing over 40 GW of Wind, Solar, and BESS assets across 23 countries underlines its extensive reach and expertise. Renewable Energy is a rapidly growing sector globally, with India ranking third in the world. The country's abundance of Wind and Solar resources indicates a promising future, aiming to expand its clean energy capacity significantly in the next five years. This growth trajectory not only aligns with India's ambitious target of achieving 500 GW of clean energy by 2030 but also presents vast opportunities for individuals seeking fulfilling careers in the green energy space. Job Summary: - Seeking a professional with experience in digital product sales, SaaS platforms, or tech-driven solutions within the Renewable Energy sector. - Proficiency in performance analytics, CMS/SCADA tools, and cloud-based platforms is essential. - Demonstrated expertise in consultative sales and client engagement, capable of translating technical capabilities into tangible business value for clean energy clients. - Proven track record of engaging with IPPs and developers to drive the adoption of digital platforms during the initial stages. Responsibilities: - Drive business acquisition for Digital Platform services, focusing on asset performance management across various RE technologies such as Wind, Solar, Hybrid, and BESS. - Develop customized solutions integrating Asset analytics, real-time dashboards, and remote performance monitoring. - Collaborate with IPPs and asset owners to promote the adoption of SaaS-based Digital Platform services. - Coordinate with internal teams including IT, data science, and asset performance to ensure seamless 24x7 client support. - Offer value-added services like predictive analytics, automated reporting, and forecasting insights, and contribute to the digital product evolution based on market and client feedback. Qualifications: - BE/M. Tech in E&TC, Electronics, IT, or Computers from a reputable institution/university. - 4 to 8 years of relevant experience. - MBA in marketing is preferred but not mandatory. Working Conditions: - The position is based at the company's headquarters in Pune, Maharashtra. - Occasional travel to sites or customer offices may be required to gather inputs and understand specific requirements. Compensation and Benefits: - Competitive salary based on qualifications and experience. - Performance-based incentives and group health insurance are among the benefits offered. Key Success Metrics: - Number of MW/assets onboarded on the digital platform. - Monthly SaaS revenue generated. - Customer feedback score on platform usability and value. - Volume of add-on modules or upgrades sold.,

You will be joining NTT DATA as a Digital Engineering Lead Engineer based in Pune, Maharashtra (IN-MH), India. In this role, you will be responsible for ideating and developing AI/ML applications focusing on prediction, recommendation, text analytics, computer vision, bots, and content intelligence. Utilizing your statistical skills and advanced statistical techniques, you will apply your expertise in ML frameworks like TensorFlow, PyTorch, Keras, Spacy, and scikit-learn. It is essential to have a deep understanding of Python open-source software stack, including Django or Flask, Django Rest or FastAPI. Your knowledge in statistics, Machine Learning models, deep learning models, NLP, GAN, and other generative models will be leveraged in this role. Experience with RAG technologies, LLM frameworks, model registries, embedding models, and vector databases is required. You will be expected to demonstrate proficiency in programming languages such as Python and have a strong understanding of various Python packages, along with experience in TensorFlow, PyTorch, or Keras. Collaborating with cross-functional teams, you will develop and implement GenAI solutions, supporting the successful execution of AI projects for various clients. Additionally, you will contribute to the development of frameworks, capabilities, and features for NTT DATA's global GenAI platform and TechHub. Working on RAG models to enhance AI solutions and maintaining data infrastructure for actionable insights will be part of your responsibilities. Your role will involve collaborating with data science teams, understanding customer requirements, and delivering customized AI solutions. Preferred qualifications include experience in Private AI and Smart Agent Solutions. You should have a minimum of 2+ years of experience architecting high-impact GenAI solutions and 5+ years of experience in projects related to predictive analytics, data design, generative AI, AI/ML, and ML Ops. A Bachelor's Degree is required for this position, along with 3+ years of experience using Python. The ability to travel at least 25% of the time is also necessary. NTT DATA is a trusted global innovator of business and technology services, serving 75% of the Fortune Global 100. As a Global Top Employer, NTT DATA provides services including business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation, and management of applications, infrastructure, and connectivity. NTT DATA is dedicated to helping clients innovate, optimize, and transform for long-term success, with a commitment to moving confidently and sustainably into the digital future.,

As a Senior Enterprise Architect with 7-12 years of experience in ML & AI, you will be based in Gurgaon with frequent travel to Dusseldorf, Germany. Reporting to the Head of Operations & Digital, you will be instrumental in driving the digital transformation of a global sourcing business. Your role will involve designing and implementing scalable, data-powered technology solutions to optimize core business operations, particularly in sourcing, merchandising, and supply chain. Your responsibilities will include defining and executing the digital transformation roadmap aligned with business objectives. You will design enterprise-grade, scalable technology solutions focusing on predictive analytics, supply chain agility, and operational optimization. Collaboration with department heads and executive stakeholders to identify operational challenges and co-create technology-driven solutions will be essential. You will architect modern data ecosystems and AI/ML pipelines to enable real-time insights into inventory management, demand forecasting, and trend analysis. Additionally, you will act as a strategic bridge between the technology team and core business functions, overseeing the development, deployment, and continuous improvement of digital platforms and business intelligence tools. Monitoring industry trends, evaluating emerging technologies, and implementing automation and AI-enabled capabilities for continuous improvement will also be part of your responsibilities. Your technical expertise should include proficiency in cloud platforms (AWS, Azure, GCP), enterprise integration, modern architecture frameworks, data and analytics tools such as SQL, Python, R, Power BI, Tableau, or Looker, as well as a deep understanding of automation, predictive analytics, and secure system design. The ideal candidate will have a Bachelor's degree in Computer Science, Engineering, Data Science, or related field, with a preference for Master's degree or certifications in enterprise architecture or cloud platforms (e.g., TOGAF, AWS, Azure). You should have 7-12 years of experience in enterprise architecture, digital transformation, and large-scale technology program delivery. Strong hands-on expertise in cloud technologies, data architecture, and AI/ML-based systems is required. Leadership capabilities, excellent communication and interpersonal skills, and the ability to influence global teams and drive enterprise-wide change are essential for this role. A willingness to travel frequently to the organization's European headquarters and other locations as needed is also a requirement. The hiring company is part of a globally influential platform for design-led consumer goods sourcing, operating across a network of over 75 offices and more than 50 factories. With a strategic focus on digitalization and operational excellence, the organization is building future-ready sourcing ecosystems that combine deep industry expertise with cutting-edge technology.,

You are seeking a detail-oriented and strategic AI Product Specialist to support the implementation and governance of AI solutions within the HR ecosystem, primarily leveraging SAP SuccessFactors. This role is pivotal in coordinating cross-functional teams, overseeing AI feature testing, ensuring responsible AI practices, and tracking performance metrics to facilitate data-driven HR decisions. You will be responsible for leading and supporting the rollout of AI-driven features and functionalities within SAP SuccessFactors, including virtual agents, predictive analytics, and intelligent recommendations. Collaboration with HR, IT, and vendor teams to integrate AI capabilities aligned with business needs will be a key aspect of your role. You will evaluate and advise on agentic AI capabilities and their potential integration into HR workflows, in addition to designing and overseeing test cases for AI features, including validation of outcomes across diverse user scenarios. Monitoring for bias, accuracy, performance, and user acceptance of AI outputs will also be part of your responsibilities. Furthermore, you will collaborate with product managers, data scientists, HR stakeholders, and compliance teams to ensure successful end-to-end implementation. Managing communication between stakeholders to ensure AI product milestones are met and defining and tracking KPIs to measure the performance and adoption of AI features are crucial tasks. You will also support the development and visualization of AI dashboards to provide insights on usage, fairness, and efficiency. Acting as a liaison between business stakeholders and the technical team to ensure AI implementations meet both user expectations and regulatory requirements is an essential part of the role. It is required that you have sound knowledge of the end-to-end testing process on HR applications such as ServiceNow, SuccessFactors, HCM cloud, etc., as well as good experience in Agile methodology to work on specific tools like JIRA or ADO. A Bachelor's or Master's degree with over 10 years of relevant experience in core Testing, including managing defect management in tools like ADO, is necessary for this position. Standard Chartered, an international bank with a rich history of over 170 years, is looking for individuals who are nimble enough to act and big enough to make an impact. They value making a positive difference for their clients, communities, and each other, questioning the status quo, embracing challenges, and seeking new opportunities for growth and improvement. If you are seeking a career with purpose and wish to work for a bank that is dedicated to making a difference, Standard Chartered welcomes your application. They celebrate unique talents and advocate for inclusion, embodying their purpose to drive commerce and prosperity through their diverse workforce and their brand promise to be here for good. Standard Chartered offers a range of benefits including core bank funding for retirement savings, medical and life insurance, flexible and voluntary benefits in some locations, annual leave, parental/maternity leave, sabbatical, volunteering leave, flexible working options, proactive wellbeing support, continuous learning opportunities, and an inclusive and values-driven organizational culture that celebrates diversity and respects every individual's potential.,

A strategic leadership role is available to ensure the delivery of high-quality network services meeting the organization's business needs. You will play a crucial role in transforming and enhancing service delivery across the wide NPS organization by leveraging your influencing skills. As the Head of Service Management, you will be the key interface for engaging with Business Units and stakeholders to drive service delivery and service improvement initiatives. You will collaborate closely with the Head of Network Products and Services (NPS) to oversee service management processes, lead a distributed team, and spearhead transformative projects aimed at improving customer satisfaction, service reliability, and operational excellence. Your responsibilities will include developing and implementing service management frameworks, processes, and policies to ensure the consistent delivery of high-quality network services to both internal and external customers. In this role, you will lead a team of service management professionals, fostering a culture of accountability, collaboration, and innovation. Moreover, you will work with network operations and other teams to ensure the seamless delivery of end-to-end network services. Your role will also involve managing relationships with clients, partners, and internal service groups, as well as overseeing vendor and partner relationships to optimize service delivery and cost management. As a Senior Technology Leader, you will be instrumental in driving service improvements for NPS through proactive leadership and stakeholder management. Your expertise in global service management for large-scale, complex network environments will be essential. Additionally, your strong leadership skills, deep knowledge of ITIL frameworks, and experience in implementing service management standard methodologies will be key in this role. To succeed in this position, you should possess excellent communication and stakeholder management skills, with the ability to interact effectively with stakeholders at all levels, including C-level executives. Your strong analytical and problem-solving abilities, combined with data-driven decision-making skills, will be crucial in driving continuous improvement initiatives. The ideal candidate will have a Bachelor's degree or equivalent experience in Computer Science, Engineering, or a related field, with an advanced degree being preferred. You will also need to stay updated on industry trends, service management standard methodologies, and emerging technologies to continuously enhance network service management. Join us at LSEG (London Stock Exchange Group), a global financial markets infrastructure and data business committed to excellence in delivering services to customers worldwide. As part of our team, you will play a critical role in supporting the global financial system and contributing to the stability and growth of communities and economies. At LSEG, we value integrity, partnership, excellence, and change, and we are dedicated to driving financial stability, empowering economies, and enabling sustainable growth.,

As a Data Analyst, you will be responsible for collecting, cleaning, automating, and analyzing large and complex data sets from various sources. You will develop dashboards, data insights, and reports to effectively communicate insights to stakeholders. Your role will involve performing data analysis, identifying trends, and generating actionable recommendations to support decision-making processes. Additionally, you will collaborate with business teams to define and monitor key performance indicators (KPIs) and present findings clearly to both technical and non-technical audiences. Your responsibilities will also include supporting the continuous improvement of data quality, governance, and documentation. It is essential to stay updated with the latest industry analytics practices, tools, and technologies to enhance data analysis processes. To excel in this role, you should possess a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or demonstrate proven experience in data analytics. Ideally, you should have at least 4-6 years of experience in data analysis or business intelligence roles. Proficiency in SQL, Python, or R for data analysis is preferred, along with hands-on experience in data visualization tools like Tableau, Power BI, or Looker Studio. Strong analytical thinking, problem-solving skills, and the ability to translate complex data into actionable insights are crucial for this position. Excellent communication and presentation skills are necessary to effectively convey findings to stakeholders. Experience in working with cross-functional teams in a fast-paced environment will be beneficial. Knowledge of machine learning concepts and predictive analytics is considered a plus. Key Skills required for this role include advanced data analytics and statistical skills, data visualization, business acumen, stakeholder management, as well as strong organizational and time-management abilities. This is a Full-time position with a Day shift schedule and requires in-person work at the designated location.,

JOB DESCRIPTION Bring more to life. Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology? At Cytiva, one of Danaher s 15+ operating companies, our work saves lives and we re all united by a shared commitment to innovate for tangible impact. You ll thrive in a culture of belonging where you and your unique viewpoint matter. And by harnessing Danaher s system of continuous improvement, you help turn ideas into impact innovating at the speed of life. Working at Cytiva means being at the forefront of providing new solutions to transform human health. Our incredible customers undertake life-saving activities ranging from fundamental biological research to developing innovative vaccines, new medicines, and cell and gene therapies. At Cytiva you will be able to continuously improve yourself and us working on challenges that truly matter with people that care for each other, our customers, and their patients. Take your next step to an altogether life-changing career. Learn about the Danaher Business System which makes everything possible. The Senior Marketing Manager APAC Customer Strategy and Initiatives is responsible for managing the operations for $160M marketing funnel additions across all the OpCos in APAC. Additionally, some of the frequent asks from the commercial teams in the region and APAC leadership include market insights and sizing studies. With a focus on CX, this role will combine customer insights obtained through VoC with market insights obtained through sizing studies to form a view of the market. This helps the marketing and commercial teams to manage customer needs effectively by refining the communication objectives, deploy the right channels and providing critical feedback to commercial teams. This position reports to the Director Regional Marketing, APAC and is part of the Demand Generation Marketing located in Bengaluru and will be working remotely to cover APAC region . At Cytiva, our vision is, to advance future therapeutics from discovery to delivery. What you will do: Create methods for customer data collection through Voice of Customer surveys, Behavioral Segmentation data, internal data sets, market sizing reports and by use of other CX tools. Work closely with sub-regional marketing teams to develop content and channels strategy based on customer needs and insights. Support execution of the campaigns based on content and channels strategy inclusive of sub-regional marketing plans using tools such as Kapost and through internal stakeholder meetings. Provide feedback to commercial teams from customer insights and create a process to close feedback loop to customers or plug the gaps in service/ engagement. Work with the regional marketing leads to develop sales tools and value proposition documents based on commercial inputs and customer insights. Continuously validate with customers the communication plans across customer buying journey. Who you are: Preferably a graduate in Life Sciences, though not a must. Long standing experience in designing cross-channel B2B CX strategy, with an exposure to Bioprocessing industry. Experience in customer engagement through prior experience in commercial or field marketing, marketing insights or execution functions. Experience of managing content marketing software. Travel, Motor Vehicle Record & Physical/Environment Requirements: Ability to travel up to 20% of the time within APAC region; globally as and when required It would be a plus if you also possess previous experience in: Having created content and channels strategy and delivering consistent customer interactions across channels. Customer data collection using various tools and analyzing them for creating action plans. Managing customer buying journey process for delivering end-to-end experience. Using Predictive Analytics for designing customer experiences. Cytiva, a Danaher operating company, offers a broad array of comprehensive, competitive benefit programs that add value to our lives. Whether it s a health care program or paid time off, our programs contribute to life beyond the job. Check out our benefits at Danaher Benefits Info . At Cytiva we believe in designing a better, more sustainable workforce. We recognize the benefits of flexible, remote working arrangements for eligible roles and are committed to providing enriching careers, no matter the work arrangement. This position is eligible for a remote work arrangement in which you can work remotely from your home. Additional information about this remote work arrangement will be provided by your interview team. Explore the flexibility and challenge that working for Cytiva can provide. Join our winning team today. Together, we ll accelerate the real-life impact of tomorrow s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life. For more information, visit www.danaher.com . At Danaher, we value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes.

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 3 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 cross-functional teams to understand business needs, analyzing data to derive insights, and presenting your findings to stakeholders to support strategic decisions. You will also measure and justify the value of AI and machine learning solutions, ensuring they align with organizational goals and deliver tangible results. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Analyze complex datasets to extract actionable insights that inform business strategies.- Collaborate with stakeholders to define project requirements and deliverables. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science.- Strong understanding of machine learning algorithms and their applications.- Experience with data manipulation and analysis using programming languages such as Python or R.- Familiarity with data visualization tools to effectively communicate findings.- Ability to work with large datasets and perform statistical analysis. Additional Information:- The candidate should have minimum 3 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

Skill required: Delivery - Digital Analytics Designation: I&F Decision Science Practitioner Senior Analyst Qualifications: Any Graduation Years of Experience: 5 to 8 Years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do Process by which data from customer behavior is used to help make key business decisions via market segmentation and predictive analytics. This information is used by businesses for direct marketing, site selection, and customer relationship management. What are we looking for Customer Insights Analytics Insights Market research Familiarity with tools like Kantar Track, Power BI Adaptable and flexible Agility for quick learning Commitment to quality Written and verbal communication Ability to work well in a team Roles and Responsibilities: In this role you are required to do analysis and solving of lower-complexity problems Your day-to-day interaction is with peers within Accenture before updating supervisors In this role you may have limited exposure with clients and/or Accenture management You will be given moderate level instruction on daily work tasks and detailed instructions on new assignments The decisions you make impact your own work and may impact the work of others You will be an individual contributor as a part of a team, with a focused scope of work Qualification Any Graduation

Why would you like to join us? TransOrg Analytics specializes in Data Science, Data Engineering and Generative AI, providing advanced analytics solutions to industry leaders and Fortune 500 companies across India, US, APAC and the Middle East. We leverage data science to streamline, optimize, and accelerate our clients' businesses. Visit at www.transorg.com to know more about us. Job Location Gurgaon /Mumbai What do we expect from you? Analyze & interpret data and communicate results to clients, often with the aid of Mathematical/statistical techniques and software. This role requires: Data exploration, statistical/ predictive modelling, data analysis and hypothesis testing. Design, development and deployment of Predictive models and frameworks. Complex statistical concepts are explained in a way that clients can understand and advice on strategy. What do you need to excel at? Well-versed in quantitative analysis, data mining, trend analysis, customer profiling, clustering and predictive modelling. Executing the data-driven planning process by building models and frameworks that connect business unit drivers to company financials and forecast to take the correct decision as per the business need. Should be able to handle assigned tasks in the capacity of individual contributor. Demonstrate excellent teamwork. Collaborate with other data analysts to provide development coverage, support, and Knowledge sharing and mentoring of junior team members. What are we looking for? Bachelor's in Computer Science, Engineering, Statistics, Maths or related quantitative degree. 3-5 years of relevant experience in a data analysis or related role. Experience in BFSI and CPG Domain is Preferred. Experience of data pre-processing and data manipulation using Python or SQL Should have some experience of statistical analysis and modeling techniques (e.g., regression, classification, clustering). Experience with machine learning, deep learning frameworks and libraries ( good to have) Familiarity with data processing tools and frameworks Experience with data visualization tools like Tableau or Power BI. Track record of managing data project delivery including ability to meet deadlines, overcome challenges, manage stakeholder expectations, and produce clear deliverables Strong problem-solving skills with a keen attention to detail. Ability to think critically and provide data-backed insights. Excellent communication skills, both verbal and written. Understanding of Cloud Platforms (e.g. Azure / AWS/GCP) and ability to use them for developing, training and testing deep learning models ( good to have) Familiarity with cloud-based data warehousing platforms (snowflake) ( good to have)

Job Title:Senior Data AnalystExperience5-10 YearsLocation:Remote : As a Senior Data Analyst, you will provide invaluable insights to our product and Business teams, working closely with our product and engineering leaders. You'll support impactful initiatives including pricing, packaging, multi-product strategies, and self-service approaches. You will collaborate cross-functionally with Engineering, Sales, Finance, Marketing, and Customer Relations to translate data needs into powerful solutions. You'll also establish best practices in analytics and mentor team members, ensuring high standards in data governance and insight generation. Your Mission: Partner with product and business leaders to define the analytics roadmap and deliver key projects in customer acquisition, engagement, and retention. Provide actionable insights and compelling narratives to influence major decisions at the C-level. Build a culture of experimentation by designing and executing rigorous A/B tests to measure business impact. Work closely with data engineers to continuously improve the data stack, governance practices, and analysis quality. A Little More About You: 5+ years of hands-on technical experience in a high growth environment. Proficiency in SQL for deriving insights. NEEDED Experience in building "Looker dashboards " in BI tools Proficiency in Python is a plus.

Skill required: Delivery - Customer Insight & Marketing Analytics Designation: I&F Decision Sci Practitioner Assoc Mgr Qualifications: Any Graduation Years of Experience: 10 to 14 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do So how do organizations sustain themselvesThe key is a new operating modelone that s anchored around the customer and propelled by intelligence to deliver outstanding experiences across the enterprise at speed and at scale. Process by which data from customer behavior is used to help make key business decisions via market segmentation and predictive analytics. This information is used by businesses for direct marketing, site selection, and customer relationship management. What are we looking for Expertise in consumer insights and market research. Proficient with tools such as Kantar Track, Power BI, Adobe Analytics, Hootsuite, and Talkwalker Skilled in data storytelling and dashboarding for stakeholder consumption Adaptable and flexible Prioritization of workload Ability to handle disputes Ability to manage multiple stakeholders Problem-solving skills Roles and Responsibilities: In this role you are required to do analysis and solving of moderately complex problems Typically creates new solutions, leveraging and, where needed, adapting existing methods and procedures The person requires understanding of the strategic direction set by senior management as it relates to team goals Primary upward interaction is with direct supervisor or team leads Generally, interacts with peers and/or management levels at a client and/or within Accenture The person should require minimal guidance when determining methods and procedures on new assignments Decisions often impact the team in which they reside and occasionally impact other teams Individual would manage medium-small sized teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Qualification Any Graduation

Skill required: Delivery - Customer Insight & Marketing Analytics Designation: I&F Decision Science Practitioner Senior Analyst Qualifications: Any Graduation Years of Experience: 5 to 8 Years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do So how do organizations sustain themselvesThe key is a new operating modelone that s anchored around the customer and propelled by intelligence to deliver outstanding experiences across the enterprise at speed and at scale. Process by which data from customer behavior is used to help make key business decisions via market segmentation and predictive analytics. This information is used by businesses for direct marketing, site selection, and customer relationship management. What are we looking for Customer Insights Analytics Insights Market research Familiarity with tools like Kantar Track, Power BI Adaptable and flexible Agility for quick learning Commitment to quality Written and verbal communication Ability to work well in a team Roles and Responsibilities: In this role you are required to do analysis and solving of lower-complexity problems Your day-to-day interaction is with peers within Accenture before updating supervisors In this role you may have limited exposure with clients and/or Accenture management You will be given moderate level instruction on daily work tasks and detailed instructions on new assignments The decisions you make impact your own work and may impact the work of others You will be an individual contributor as a part of a team, with a focused scope of work Qualification Any Graduation

Job Description Roles and responsibilities : Track multiple data sources for Monthly & Fortnightly Portfolio, Factsheet, Fund performance within the given time schedule and update compositions for all mutual fund, Insurance and Pension Fund schemes in the in-house Analytics Tool Search multiple data sources for other data set collections and update on Data Extraction Tool. Maintaining Operational Efficiency Conduct quality checks and validate all figures and disclosures prior to final publishing After final publication maintain quality checks with observation Manage timelines to ensure timely release of portfolio, factsheets and fund performance Create and Maintain internal MIS reports and maintain an audit trail of published data Regular co-ordination with senior member team during the operational work. Perform web data mining and additional information to substantiate more content. Skill, Knowledge & Trainings: Basic knowledge of Funds preferably Mutual Fund, Insurance and Pension Fund Service oriented attitude Strong arithmetic base Excellent attention to detail, ability to prioritize and multitask Good communication skills, Accuracy time management and co-ordination. Good working knowledge of MS Word, MS Excel etc.

As a Software Engineer in the Direct Platform Quality team at Morningstar's Enterprise Data Platform (EDP), you will play a crucial role in developing and maintaining data quality solutions to enhance Morningstar's client experience. You will collaborate with a quality engineering team to automate the creation of client scorecards and conduct data-specific audit and benchmarking activities. By partnering with key stakeholders like Product Managers and Senior Engineers, you will contribute to the development and execution of data quality control suites. Your responsibilities will include developing and deploying quality solutions using best practices of Software Engineering, building applications and services for Data Quality Benchmarking and Data Consistency Solutions, and adding new features as per the Direct Platform Quality initiatives" product roadmap. You will also be required to participate in periodic calls during US or European hours and adhere to coding standards and guidelines. To excel in this role, you should have a minimum of 3 years of hands-on experience in software engineering with a focus on building and deploying applications for data analytics. Proficiency in Python, Object Oriented Programming, SQL, and AWS Cloud is essential, with AWS certification being a plus. Additionally, expertise in big data open-source technologies, Analytics & ML/AI, public cloud services, and cloud-native architectures is required. Experience in working on Data Analytics and Data Quality projects for AMCs, Banks, Hedge Funds, and designing complex data pipelines in a Cloud Environment will be advantageous. An advanced degree in engineering, computer science, or a related field is preferred, along with experience in the Financial Domain. Familiarity with Agile software engineering practices and mutual fund, fixed income, and equity data is beneficial. At Morningstar, we believe in continuous learning and expect you to stay abreast of software engineering, cloud and data science, and financial research trends. Your contributions to the technology strategy will lead to the development of superior products, streamlined processes, effective communication, and faster delivery times. As our products have a global reach, a global mindset is essential for success in this role. Morningstar is committed to providing an equal opportunity work environment. Our hybrid work model allows for remote work with regular in-person collaboration, fostering a culture of flexibility and connectivity among global colleagues. Join us at Morningstar to be part of a dynamic team that values innovation, collaboration, and personal growth.,

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

Collaborate with internal teams to implement AI in areas like predictive analytics, site monitoring (via computer vision), labour productivity, etc. Develop proof-of-concepts (POCs), AI models. Experience with AI in construction tech, ERP, IoT, Required Candidate profile Understanding of machine learning, deep learning, and data analytics. Experience with AI in construction tech, ERP, IoT, computer vision, NLP. B.E./B.Tech in Computer Science / IT / Data Science