888 Data Mining Jobs - Page 20

Market Intelligence Analysis Monitor, track, and analyze industry trends, market shifts, and emerging technologies relevant to IT Services. Develop and communicate market forecasts and scenario models to support strategic planning. Competitor Insights Conduct competitive benchmarking, SWOT analysis, and evaluate go-to-market strategies of key competitors. Deliver detailed insights on competitor strengths, weaknesses, threats, and opportunities. Market Sizing Opportunity Assessment Conduct TAM/SAM/SOM analysis to quantify and prioritize market opportunities. Provide strategic recommendations for expansion, investment, or diversification based on data-driven analysis. Strategic Reporting Executive Presentations Prepare high-impact reports and storyboards tailored for senior stakeholders, including C-suite and strategic business units (SBUs). Present insights clearly and persuasively, enabling informed decision-making. Collaboration Project Leadership Work cross-functionally with strategy, business development, marketing, and delivery teams to align research with business priorities. Manage ad hoc analytics and research requests, ensuring timely and high-quality delivery. Oversee small project teams or analysts as needed to deliver research or analytics outcomes. Preferred Data Analytics Forecasting Analyze large and diverse data sets to extract meaningful business insights. Create predictive models, scenario analysis, and market forecasts to support strategic decisions. Evaluate and visualize KPIs related to market performance, competitor movement, and customer trends. Visualization Reporting Design and develop dashboards and visual reports using Power BI, Tableau, or similar tools. Build dynamic and interactive data visualizations to simplify complex data for business stakeholders. Structure compelling data narratives and visual storyboards tailored for C-level executives and strategic business units. Research Tools Vendor Management Use premium databases for secondary research and data mining. Manage third-party vendors or consultants for commissioned studies or external benchmarking projects. Total Experience Expected: 03-07 years Master s degree in business administration, Economics, Strategy, or a related field. Minimum 4+ years of relevant experience in market research, strategy, or competitive intelligence preferably within IT Services or technology consultin

The Business Insights & Analytics group already provides broad and deep analytical expertise and operational support to a range of functions and has built similar capability for Medical Affairs. This role, the BI&A Medical Affairs Analyst will work on a range of RWD sources and apply analytical/statistical methodologies, while always striving for process improvement, innovation in close collaboration with the other analytics teams. Key Roles and Responsibilities Project Execution : primary owner of the following tasks Build deep expertise on necessary data sets and supports data enabled decision making using a range of RWD sources (claims databases, EMR/EHR/Lab etc) and internal Lilly data (Veeva, Customer 360 etc) Ensure high stakeholder satisfaction through consistent delivery of high quality, timely and insightful outputs throughout analytics value chain on various objectives related to the patient journey, unmet needs, omnichannel engagement, segmentation, targeting, and data support through data mining and warehousing Develop into a trusted advisor by actively participating in various phases of the project including kick-off, methodology development, execution, insight generation and data visualization and results presentation to various stakeholders Participating in meetings with stakeholders and communicating the final outputs and recommendations Project management : support the team leader as needed on the below tasks Creation and maintenance of standard operating procedures (SOPs), quality checklists that will enable excellent quality outputs Shared learning forums to identify challenges and establish best practices Expansion of analytical capability of the team by taking on more complex projects and delivering value Process improvements and implementation of analytical best practices Education/Experience Requirements Undergrad in quantitative field (Engg, Math/Stats, quant economics/econometrics etc) 3-6 years of analytics experience with demonstrated ability to think strategically in an ambiguous environment in analytics, especially in pharma/other lifesciences Prior experience of working on a range of pharma/healthcare data sets highly preferred, especially a variety of RWD, including but not limited to syndicated insurance claims databases (IQVIA, Symphony, etc), EMR/EHR/Lab data (IBM MarketScan, Prognos etc), National/international patient registries Prior experience in therapy areas including Cardio Metabolic Health, Immunology, Oncology, Neuroscience or related areas is highly preferred Coursework/qualifications in analytics, statistics, RWE generation, quantitative health economics, patient outcomes will be a plus Technical Skills Strong experience in SQL; fluency in one of R/Python Hands-on experience with at least 1 data viz tool like Tableau, PowerBI etc Advanced MS-office skills (MS-Excel and MS-PowerPoint) Soft Skills Strong work ethic and personal motivation Good presentation skills Interpersonal and communication skills with ability to work across time zones Ability to operate effectively in an international matrix environment Strong stakeholder management skills Strong team player who is dynamic and result oriented

Hands-on Machine Learning Engineer who will release models in production. Develop classifiers, predictive models, and multi-variate optimization algorithms on large-scale datasets using advanced statistical modeling, machine learning, and data mining. Special focus on R&D that will be building predictive models for conversion optimization, Bidding algorithms for pacing & optimization, Reinforcement learning problems, and Forecasting. Collaborate with Product Management to bring AI-based Assistive experiences to life. Socialize what s possible now or in the near future to inform the roadmap. Responsible for driving all aspects of ML product development: ML modeling, data/ML pipelines, quality evaluations, productization, and ML Ops. Create and instill a team culture that focuses on sound scientific processes and encourages deep engagement with our customers. Handle project scope and risks with data, analytics, and creative problem-solving. What you'require: Solid foundation in machine learning, classifiers, statistical modeling and multivariate optimization techniques Experience with control systems, reinforcement learning problems, and contextual bandit algos. Experience with DNN frameworks like TensorFlow or PyTorch on large-scale data sets. TensorFlow, R, scikit, pandas Proficient in one or more: Python, Java/Scala, SQL, Hive, Spark Good to have - Git, Docker, Kubernetes . GenAI, RAG pipelines a must have technology . C loud based solutions is good to have General understanding of data structures, algorithms, multi-threaded programming, and distributed computing concepts Ability to be a self-starter and work closely with other data scientists and software engineers to design, test, and build production-ready ML and optimization models and distributed algorithms running on large-scale data sets. Ideal Candidate Profile: A total of 10+ years of experience, including at least 5 years in technical roles involving Data Science, Machine Learning, or Statistics. Masters or B.Tech in Computer Science/ Statistics Comfort with ambiguity, adaptability to evolving priorities, and the ability to lead a team while working autonomously. Proven management experience with highly diverse and global teams. Demonstrated ability to influence technical and non-technical stakeholders. Proven ability to effectively manage in a high-growth, matrixed organization. Track record of delivering cloud-scale, data-driven products, and services that are widely adopted with large customer bases. An ability to think strategically, look around corners, and create a vision for the current quarter, the year, and five years down the road. A relentless pursuit of great customer experiences and continuous improvements to the product.

Cantor Fitzgerald is looking for Analyst 1 - Document Imaging to join our dynamic team and embark on a rewarding career journey Managing master data, including creation, updates, and deletion. Managing users and user roles. Provide quality assurance of imported data, working with quality assurance analysts if necessary. Commissioning and decommissioning of data sets. Processing confidential data and information according to guidelines. Helping develop reports and analysis. Managing and designing the reporting environment, including data sources, security, and metadata. Supporting the data warehouse in identifying and revising reporting requirements. Supporting initiatives for data integrity and normalization. Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems. Generating reports from single or multiple systems. Troubleshooting the reporting database environment and reports. Evaluating changes and updates to source production systems. Training end-users on new reports and dashboards. Providing technical expertise in data storage structures, data mining, and data cleansing.

Job Title Lead Data Scientist Job Description Job Description About Signify Through bold discovery and cutting-edge innovation, we lead an industry that is vital for the future of our planet: lighting. Through our leadership in connected lighting and the Internet of Things, we're breaking new ground in data analytics, AI, and smart solutions for homes, offices, cities, and beyond. At Signify, you can shape tomorrow by building on our incredible 125+ year legacy while working toward even bolder sustainability goals. Our culture of continuous learning, creativity, and commitment to diversity and inclusion empowers you to grow your skills and career. Join us, and together, we'll transform our industry, making a lasting difference for brighter lives and a better world. You light the way. More about the role we're looking for a Data Scientist to work on Deep learning, machine learning, data mining, and statistical modelingfor providing predictive and prescriptive enterprise analytics. Successful candidates will be expected to guide a team of Data Scientists, investigate state of the art techniques in advanced machine learning and statistical modeling, and design, develop, and deploy state-of-art, scalable systems for innovative analytics applications across various functional areas (eg Finance, Sales, Marketing, Supply Chain, etc). Applicants will be expected to work with a diverse set of data sources, such as time series data, graph data, semi-structured and unstructured data, and build statistical / machine-learning / Deep Learning/Gen AI models in support of on-demand, real-time analytic services. The applicant should also have strong skills in explaining the analytic models and outcomes to business stakeholders. you'll be part of the Signify s Enterprise Data & Analytics team, based in Bangalore. More about you Bachelors or Masters degree in Computer Science, Statistics, Mathematics, or a related field 4+ years of hands-on experience in data science or a related field with demonstrated history of delivering analytics models and solutions Strong programming skills in Python, PySpark or other statistical programming languages Strong foundation in machine learning and deep learning algorithms and expertise in natural language processing (NLP) and computer vision techniques Experience with popular deep learning frameworks such as TensorFlow and PyTorch Research and explore the latest advancements in generative AI, including techniques like natural language processing (NLP), computer vision, and machine learning Develop and implement generative AI models and algorithms to address specific business challenges Train and fine-tune generative AI models using large datasets and industry-specific knowledge to improve accuracy and efficiency Knowledge of cloud platforms like AWS, GCP, or Azure Strong problem-solving skills, communication skills and the ability to think creatively and strategically with a focus on business outco Everything we'll do for you Opportunity to work on some of the highly complex and challenging business problems across a variety of functional and business domains. Competitive salary depending on experience. Extensive set of tools to drive your career, such as a personalized learning platform, training and coaching

Collaborating with product development teams to provide a high-level vision of enterprise solutions and development initiatives Understanding and communicating the Enterprise strategy to Application, Data, and Solution Architects along with other non-technical stakeholders Collecting, generating, and analyzing innovative ideas and technologies to use across the business Prepares large enterprise system development cost estimates, budgets, and schedules Participating in the strategy for building and maintaining the development platform along with modeling, design, and coding practices Monitors architecture and design creation process and reviews the project artifacts Promoting Continuous Integration and Continuous Deployment processes and DevOps capabilities Evaluate results within business unit to determine if organizational objectives are being met A Bachelors degree in Computer Science, Business Administration, or related discipline. While an advanced degree is preferred, the value is placed on the extent of the relevant experience and accomplishments 10+ years Industry experience, in architecture and delivery of software products and solutions 3+ years of experience designing and implementing AWS, Azure or GCP cloud environments, architectures, and operational models. Including developing cloud-ready solutions 2+ years of experience in planning, analyzing, designing, architecting, and supporting Audit and Assurance products and solutions 5+ years in a data engineering role with demonstrable experience with Cognitive computing, data integration, data mining, Natural Language Processing, Hadoop platforms, and automating machine learning components 3+ years of experience within a Sr Architecture role within large Scaled Agile program One or more programming languages (C#, Python); One or more databases (SQL, No SQL), Web front end technologies (Angular, ReactJS etc), Enterprise integration patterns (MOM, SOA etc), Machine learning & AI, Big Data analytics, Azure cloud provider, Container technologies (Docker, Kubernetes etc)

we're looking for a Principal Data Scientist to work on GenAI & machine learning for providing predictive and prescriptive enterprise analytics. Successful candidates will be expected to guide a team of Data Scientists, investigate state of the art techniques in GenAI, LLM fine tunning, advanced machine learning and statistical modeling, and design, develop, and deploy state-of-art, scalable systems for innovative analytics applications across various functional areas (eg Finance, Sales, Marketing, Supply Chain, etc). Applicants will be expected to work with a diverse set of data sources, such as time series data, graph data, semi-structured and unstructured data, and build statistical/machine-learning models in support of on-demand, real-time analytic services. The applicant should also have strong skills GenAI solution development and implementation, should be aware of latest tools and technology in the area of GenAI, Agentic AI, and should be a power user of at least one of GenAI tool (ChatGPT, Copilot etc). The candidate should be proficient in explaining the analytic models and outcomes to business stakeholders. What you'll do Lead, guide and advice a team of Data Scientists and manage project timelines, resources, and deliverables Conceptualize, develop and implement GenAI/Agentic AI solutions at an enterprise level. Focus on productization & scalability of GenAI/ML solutions that can be replicated across multiple markets / businesses to solve similar business problems. Work with business groups to ensure models can be implemented as part of a delivered solution and can be replicated across multiple markets / countries Keep abreast of the latest developments in the field of GenAI, Agentic AI, ML, data science, by continuous learning and proactively champion promising new methods relevant to the problems at hand Develop and implement statistical models, machine learning algorithms, and other advanced analytics techniques to solve complex business problems Conduct data analysis, data mining, and data visualization to identify patterns and insights in large datasets Collaborate with cross-functional teams to develop and implement data-driven solutions that improve business performance Present findings and recommendations to senior leadership and stakeholders in a clear and concise manner Stay up-to-date with the latest trends and advancements in data science, machine learning, and artificial intelligence Be overall responsible for all the Data Science related deliverables and in meeting accuracy targets Research, design and prototype robust and scalable models based on machine learning, data mining, and statistical modeling to answer key business problems Present findings to stakeholders to drive improvements and solutions from concept through to delivery What you'll need Working knowledge in GenAI, Agentic AI solution development and implementation, finetuning open source LLM s and contextualizing the same with internal enterprise data. Working knowledge with at least one of the GenAI tool (ChatGPT, Copilot etc) PhD / Masters / B.Tech in computer science, computer engineering with 12+ years of demonstrated experience in the Advanced Analytics / Machine Learning field Strong programming skills in languages such as Python, and SQL and various open source machine learning and analytics packages Demonstrated history of driving and delivering analytics models and solutions Deep knowledge of fundamentals of machine learning, data mining and statistical modeling, and extensive experience applying these methods to real world problems Hands on working experience on at least one of the MLOps Platform like AWS Sagemaker, Dataiku, Data Robot Experience with big data technologies such as Hadoop, Spark, and NoSQL databases Excellent communication and interpersonal skills, with the ability to work effectively in a team environment Strong problem-solving skills and the ability to think creatively and strategically. Ability and inclination to work in multi-disciplinary environments, and desire to see ideas realize in Practice. What you'll get in return Opportunity to work on some of the highly complex and challenging business problems across a variety of functional domains and consumer markets. Competitive salary depending on experience. Extensive set of tools to drive your career, such as a personalized learning platform, free training and Coaching

The Quantitative Modeling/Decision Science team is a part of the Financial Planning and Analysis business unit and is responsible for delivering quant modeling, forecasting, and statistical analysis solutions throughout Ocwen. The team is seeking to fill a position of Assistant Manager, Quant Modeling. The candidate is expected to execute, monitor and recalibrate various statistical models. He should be able to automate existing model execution using Python, R and SQL. He should be able to develop new Statistical and Machine learning models across various business units throughout the organization including mortgage servicing, lending, capital markets, finance, risk management and compliance. The candidate should be able to effectively use written and oral communication skills to present results of complex statistical/data science projects to a non-technical audience. JOB FUNCTION AND RESPONSIBILITIES: Model Execution : Run and execute existing Statistical, Machine learning and various analytical models using Python, R, and SQL to support various business needs. Model Monitoring and Recalibration : Prepare and conduct periodic model monitoring and recalibration to ensure model performance and compliance. Automation: Create scripts and tools to automate repetitive tasks and data pipelines. Develop and implement automated solutions for model monitoring reports to enhance efficiency and accuracy. Data Visualization : Design and present visualizations to communicate insights to stakeholders effectively. Data Preparation : Extract, transform, load and analyze data ensuring data integrity and readiness for the analysis. Predictive modelling : Build and validate predictive models to support business decision making processes. Apply machine learning models to forecast trends and behaviors. Data Mining and Analysis: Extract and analyze large datasets from various sources to identify patterns, correlations and anomalies. Utilize Statistical methods and machine learning algorithms to interpret complex data sets. Documentation: Produce, maintain and update comprehensive documentation for each model. Presentation: Prepare and deliver Power point presentations to communicate model results, insights, and recommendations to stakeholders for informed decision making. Solution Provider: Propose and deliver innovative modeling methods and techniques to improve existing business processes and support emerging business opportunities. Communications : Cleary and effectively communicate results of modeling projects to senior management. Continuous Self-improvement: Stay up to date on recent advancement in statistical modeling and data processing/mining methods and techniques, including relevant programming languages. EDUCATION / EXPERIENCE 5+ years of experience in statistical modeling/decision science in the financial services industry. bachelors or masters degree in quantitative discipline such as Data or Computer Science, Economics, Statistics, Engineering, etc Strong hands-on experience with Python, R and SQL for data modelling and statistical analysis. Certifications in Data Science, Machine learning, Business Analytics, or Advances Statistical Analysis preferred. Knowledge of statistical tools and data mining techniques. Experience in automating reports and processes using scripts in Python/R/SQL. Experience in mortgage servicing or finance and banking industry will be a plus. Demonstrated ability to independently structure, manage, coordinate and deliver complex cross-enterprise modeling and analytic projects and processes with multiple stakeholders. Global or multi-national business experience is strongly preferred. Ability to adapt to a dynamic, rapidly changing business environment

The Global Data Insights and Analytics (GDI&A) department at Ford Motors Company is looking for qualified people who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, Econometrics, and Optimization. The goal of GDI&A is to drive evidence-based decision making by providing insights from data. Applications for GDI&A include, but are not limited to, Connected Vehicle, Smart Mobility, Advanced Operations, Manufacturing, Supply chain, Logistics, and Quality Analytics. Potential candidates should have excellent depth and breadth of knowledge in machine learning, data mining, and statistical modeling. They should possess the ability to translate a business problem into an analytical problem, identify the relevant data sets needed for addressing the analytical problem, recommend, implement, and validate the best suited analytical algorithm(s), and generate/deliver insights to stakeholders. Candidates are expected to regularly refer to research papers and be at the cutting-edge with respect to algorithms, tools, and techniques. The role is that of an individual contributor; however, the candidate is expected to work in project teams of 2 to 3 people and interact with Business partners on regular basis. Minimum Qualifications Bachelor s degree in Data science, computer science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline. 3+ years of hands-on experience in Python programming for data analysis, machine learning, and with libraries such as NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, PyTorch, NLTK, spaCy, and Gensim. 2+ years of experience with both supervised and unsupervised machine learning techniques. 2+ years of experience with data analysis and visualization using Python packages such as Pandas, NumPy, Matplotlib, Seaborn, or data visualization tools like Dash or QlikSense. 1+ years experience in SQL programming language and relational databases. Preferred Qualifications An MS/PhD in Computer Science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline. PhD strongly preferred. Experience working with Google Cloud Platform (GCP) services, leveraging its capabilities for ML model development and deployment. Experience with Git and GitHub for version control and collaboration. Besides Python, familiarity with one more additional programming language (e. g. , C/C++/Java) Strong background and understanding of mathematical concepts relating to probabilistic models, conditional probability, numerical methods, linear algebra, neural network under the hood detail. Experience working with large language models such GPT-4, Google, Palm, Llama-2, etc. Excellent problem solving, communication, and data presentation skills. Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data-driven decision-making Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc. ; to analyze data and uncover meaningful patterns, relationships, and trends Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc. ; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness

Intern Research & Consulting (EV, Economics/Statistics, Power & Renewable Sectors) Noida (Sector 65) Qualifications BA (Economics), BSc Hons., BCOM/MCOM Number of Positions Up to 6 Internship Full Time (Offline) Stipend-based (Payable upon project delivery)* About Eninrac Consulting Private Limited Eninrac Consulting is a premier market research, advisory, and consulting firm specializing in the energy and infrastructure sectors. We provide strategic insights and actionable intelligence to drive business growth, enhance operational efficiency, and foster sustainable development for our clients. Role Summary This internship offers an exciting opportunity to gain hands-on experience in research and consulting across emerging and core sectors like EV, Economics/Statistics, Power & Renewable Energy. Ideal for freshers passionate about market research, policy, and energy domain insights. Responsibilities Assist in writing research reports Analyze data and extract meaningful insights Conduct policy and regulatory research for the Power Sector Participate in on-demand research projects Support senior analysts and consultants in ongoing assignments Preferred Skills Research report writing Understanding of Power Sector regulations and policies Strong data mining and analytical skills Proactive and self-motivated Team-oriented and enthusiastic to learn Interview Mode: Offline at our Noida Office (Sector 65)

Purpose of the role The Role will be responsible to support the business teams across categories and retailers in the South Korea. The team member will complete several key responsibilities such as trade reconciliation, basic analysis and turn-key reporting. The role encompasses data mining from multiple sources/tools to data harmonization to visualization combined with robust quality audit and documentation. KEY ACCOUNTABILITIES 60% of Time Deliver Standard Reports - Master and own the monthly deliverables in the form of reports & presentations and send quality output in a timely manner - Develop business and trade knowledge to enable conceptualizing R&A and help build valuable, crisp reports from scratch - turnkey reporting with HMM - Upgrade monthly deliverables based on business requirements, ideate complex fixes and create functional, efficient reports - Master Management for Trax in Korean language tracking KPIs by Store/SKU, providing POG analysis 20% of Time Delivering Adhoc Requests | Build Reports from scratch - Build templates with dynamic dashboards and visuals and upgrade products/markets/time frames per business requirements - Provide analysis on reports generated through Trax & identify gap/opportunities communicate the findings in Korean language to the key stakeholders 10% of Time Technical Expertise - Actively learn and apply intermediate/advanced level of expertise in MS Excel, QAD, Nielsen, IRI, Trax etc. - Build a robust audit system for all reporting activity - Undergo trainings: As recommended and self-initiated refresher trainings to keep abreast of tool dynamics and their functional as well as tactical applications - 10% of Time Continuous Improvement mindset to deliver Executional Excellence, Stakeholder and Project Management - Ensure TAT is upheld via awareness on process requirements, meeting benchmark time estimates and through articulate expectation settings with the stakeholder - Guarantee data quality and accuracy through thorough comprehension of request, accurate application of tools/platforms with an eye for detail and a robust data & logic check - Eliminate Waste, Contribute to the Functional Productivity Goals MINIMUM QUALIFICATIONS Education Full time graduation from an accredited university (Mandatory- Note: This is the minimum education criteria which cannot be altered) PREFERRED QUALIFICATIONS Preferred Degree Requirements: Bachelors/Masters; Korean Language Expert Preferred Major Area of Study: Any Stream (preferably Business Management, Statistics, Marketing, Retail) Specific Job Experience or Skills Needed Language Expertise in Korean is mandate Attention to detail, ability to complete given tasks with accuracy Meet or exceed internal or external customer timelines and expectations Strong command over oral and written English & basic stakeholder interaction experience Continuous Improvement mindset MS Office proficiency especially Excel Multitasking ability - work on a host of tools/databases and softwares/platforms Experience with market data analysis tools is required (experience working with ACNielsen and IRI data preferred.)

Location(s): Noida-Greater Noida Expressway, Sector - 129, Plot No. C3-C, Noida, Uttar Pradesh, IN Line Of Business: Insurance(INSURANCE) Job Category: ESG Analytics, Data & Research Experience Level: Experienced Hire At Moodys, we unite the brightest minds to turn today s risks into tomorrow s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies Must have more than 7+ Years of experience in Catastrophe Modeling Domain Strong knowledge of using Moody s RMS Models is required with relevant 6 years of experience. Strong analytical and problem-solving abilities. Strong database and data mining skills - Good knowledge of Excel, Access, and SQL is required. Excellent written and verbal communication. Collaborative and stakeholder management R, VBA, Power BI and Python knowledge is preferred. Education B.E / B. Tech (preferably Civil/Mechanical Engineering) from IIT/NIT or other reputed universities OR MBA Finance/Insurance/Operations Research or master s in mathematics/ Statistics/Operations Research/Economics from top-tier universities. Responsibilities As the Assistant Director of Risk Management, you will lead client-facing risk analytics initiatives, overseeing activities such as requirement scoping, report design, data preparation, modeling, and result presentation. Prior experience in leading a risk analytics team-either in full or in part-is highly advantageous. The role requires outstanding communication and presentation skills, along with the ability to navigate and collaborate within a global, matrixed organization. As a technical expert, you will be expected to demonstrate strong problem-solving abilities and take an active role in mentoring team members to strengthen both their technical expertise and business understanding. Exhibit in-depth knowledge of Moody s RMS models (model methodology, schema) Hands-on end-to-end account modeller and can perform Portfolio/ Cedant analysis, understanding exposure preparation and enrichment is a big plus Provide high quality exposure and loss analysis, build relevant insights to enable swift business decisions at the client-end. Assess input data quality and highlight potential improvements to client along with impact of data fallacy/inadequacies. Document all aspects of a project, particularly focusing on the rationale for decisions and exceptions. Drive process improvements which increase utility or efficiency of analysis. Own project compliance by ensuring processes, guidelines and SOPs is followed Manage client escalations, minimize potential issues Ensure continual improvement through efficiency improvement through process reengineering or automation ideas Manage high performing assets, groom process champions Support client onboarding from Transition to "Business-As-Usual" phase by collaborating with other RMS teams. Interface with Moody s RMS client development and other technical teams on client engagements. Support vertical head and new opportunities team for developing new service lines. About the team Our Analytical Services team is dedicated to providing clients with advanced catastrophe insights and deliverables, leveraging Moody s RMS models and programming tools. Our department Analytical service aligns with Moody s Insurance segment object to grow by providing high quality deliverables and insights to the clients. By joining our team, you will be part of exciting work in Insurance domain specifically to the catastrophe modeling located in Noida, India.

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it , our most valuable asset is our people. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage an d passion to drive life-changing impact to ZS. Our most valuable asset is our people . At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems—the ones that comprise us as individuals, shape who we are and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. ZS's Insights & Analytics group partners with clients to design and deliver solutions to help them tackle a broad range of business challenges. Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem-solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership. What You’ll Do Develop advanced and efficient statistically effective algorithms that solve problems of high dimensionality . Utilize technical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques to identify trends, create figures, and analyze other relevant information. Collaborate with clients and other stakeholders at ZS to integrate and effectively communicate analysis findings. Contribute to the assessment of emerging datasets and technologies that impact our analytical platform. What You’ll Bring A master’s degree in computer science , Statistics, or a relevant field ; A r obust academic performance history with coursework emphasizing analysis and quantitative skills . A knowledge of big data, advanced analytical concepts, and algorithms (e.g., text mining, social listening, recommender systems, predictive modeling, etc.). A proficiency in at least one programming language (e.g., Java/Python/R ). Experience with tools/platforms such as the Hadoop eco system , Amazon Web Services or database systems. Fluency in English. Perks & Benefits ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To Complete Your Application Candidates must possess or be able to obtain work authorization for their intended country of employment.An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At www.zs.com

We are looking for a Data Scientist with strong data and analytical skills, you will be tasked with managing all aspects any new work/project assessments thoroughly from inception to delivery. You will need to build close working relationships with COO business and CDO in order to gather specific modelling requirements and define and scope the work. In addition, as Data Scientist you will also work closely with internal staff, clients and 3rd parties. Key Responsibilities Design Machine Learning, Natural Language and Decision Optimisation applications architecture. Design ML, NLP and DO models, algorithms for predictive prescriptive analytics. Translate business requirements to reporting dashboard and analytics. Perform advanced analytics and statistical modelling on structured and unstructured data. Work with software engineers to integrate and deploy AI applications. Assist in the creation of data definitions for new database file/table development and/or changes to existing ones as needed for analysis. Support the business with clear and insightful analysis applying advanced modelling techniques leveraging the data at hand. Respond to and resolve data mining performance issues. Monitor data mining system performance and implement efficiency improvements. Develop and implement change management plans to ensure successful adoption of AI solutions across the organization. Provide training and support to business users to help them understand and leverage AI tools and technologies. Foster a culture of innovation and continuous improvement by promoting the benefits of AI and encouraging experimentation. Work with senior management to develop and refine the banks AI strategy, ensuring alignment with overall business objectives. Identify and prioritize AI use cases that have the potential to deliver significant business value. Develop business cases for AI projects, including cost-benefit analysis, risk assessment, and ROI estimation. Skills and Experience 8+ Years of Software development experience using . Net framework or Java Completed real world ML, NLP and DO projects using R or Python Extensive experience in SQL and NoSQL database design, queries and stored procedures Hands-on experience with Windows Server, Azure, AWS and Git Highly proficient in data visualisation tools. . . Documentation - Requirements/Use Cases/Business Rules/User Stories, Etc. Report Types - Gap Analysis/Problem Analysis/Initial Assessments, Etc. Process/Data Modelling - As Is/To Be/ Visio/Enterprise Architect/System Architect, Etc. Strong query language skills (SQL, Hive, ETL, Hadoop, Spark, R, Python) Good experience with Business Intelligence tools and Decision Support Systems Strong data analysis skills using Hive, Spark, R, Python, Dremio, MicroStrategy and Tableau. Proven experience in working with key stakeholders within the business. Proven problem-solving skills Workshop Facilitation Qualifications Master or PHD in Mathematics, Statistics, Knowledge Engineering or Data science. real world exposure on ML, NLP and DO projects using R or Python About Standard Chartered Were an international bank, nimble enough to act, big enough for impact. For more than 170 years, weve worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If youre looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we cant wait to see the talents you can bring us. Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, youll see how we value difference and advocate inclusion. Together we: Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term What we offer In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing. Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations. Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum. Flexible working options based around home and office locations, with flexible working patterns. Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning. Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential. www. sc. com/careers 25999

Role Purpose The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions. Do 1. Managing the technical scope of the project in line with the requirements at all stages a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends b. Develop record management process and policies c. Build and maintain relationships at all levels within the client base and understand their requirements. d. Providing sales data, proposals, data insights and account reviews to the client base e. Identify areas to increase efficiency and automation of processes f. Set up and maintain automated data processes g. Identify, evaluate and implement external services and tools to support data validation and cleansing. h. Produce and track key performance indicators 2. Analyze the data sets and provide adequate information a. Liaise with internal and external clients to fully understand data content b. Design and carry out surveys and analyze survey data as per the customer requirement c. Analyze and interpret complex data sets relating to customers business and prepare reports for internal and external audiences using business analytics reporting tools d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool f. Develop predictive models and share insights with the clients as per their requirement Deliver NoPerformance ParameterMeasure 1.Analyses data sets and provide relevant information to the clientNo. Of automation done, On-Time Delivery, CSAT score, Zero customer escalation, data accuracy Mandatory Skills: Data Warehousing. Experience: 3-5 Years.

Role Purpose The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions. Do 1. Managing the technical scope of the project in line with the requirements at all stages a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends b. Develop record management process and policies c. Build and maintain relationships at all levels within the client base and understand their requirements. d. Providing sales data, proposals, data insights and account reviews to the client base e. Identify areas to increase efficiency and automation of processes f. Set up and maintain automated data processes g. Identify, evaluate and implement external services and tools to support data validation and cleansing. h. Produce and track key performance indicators 2. Analyze the data sets and provide adequate information a. Liaise with internal and external clients to fully understand data content b. Design and carry out surveys and analyze survey data as per the customer requirement c. Analyze and interpret complex data sets relating to customers business and prepare reports for internal and external audiences using business analytics reporting tools d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool f. Develop predictive models and share insights with the clients as per their requirement Deliver NoPerformance ParameterMeasure 1.Analyses data sets and provide relevant information to the clientNo. Of automation done, On-Time Delivery, CSAT score, Zero customer escalation, data accuracy Mandatory Skills: Salesforce Platform Development. Experience: 3-5 Years.

Role Purpose The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions. Do 1. Managing the technical scope of the project in line with the requirements at all stages a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends b. Develop record management process and policies c. Build and maintain relationships at all levels within the client base and understand their requirements. d. Providing sales data, proposals, data insights and account reviews to the client base e. Identify areas to increase efficiency and automation of processes f. Set up and maintain automated data processes g. Identify, evaluate and implement external services and tools to support data validation and cleansing. h. Produce and track key performance indicators 2. Analyze the data sets and provide adequate information a. Liaise with internal and external clients to fully understand data content b. Design and carry out surveys and analyze survey data as per the customer requirement c. Analyze and interpret complex data sets relating to customer's business and prepare reports for internal and external audiences using business analytics reporting tools d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool f. Develop predictive models and share insights with the clients as per their requirement Deliver NoPerformance ParameterMeasure 1.Analyses data sets and provide relevant information to the clientNo. Of automation done, On-Time Delivery, CSAT score, Zero customer escalation, data accuracy Mandatory Skills: Ipython. Experience: 5-8 Years.

Role Purpose The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions. Do 1. Managing the technical scope of the project in line with the requirements at all stages a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends b. Develop record management process and policies c. Build and maintain relationships at all levels within the client base and understand their requirements. d. Providing sales data, proposals, data insights and account reviews to the client base e. Identify areas to increase efficiency and automation of processes f. Set up and maintain automated data processes g. Identify, evaluate and implement external services and tools to support data validation and cleansing. h. Produce and track key performance indicators 2. Analyze the data sets and provide adequate information a. Liaise with internal and external clients to fully understand data content b. Design and carry out surveys and analyze survey data as per the customer requirement c. Analyze and interpret complex data sets relating to customers business and prepare reports for internal and external audiences using business analytics reporting tools d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool f. Develop predictive models and share insights with the clients as per their requirement Deliver No Performance Parameter Measure 1.Analyses data sets and provide relevant information to the clientNo. Of automation done, On-Time Delivery, CSAT score, Zero customer escalation, data accuracy Mandatory Skills: I python.

Overview The team member will be part of Shared Service Data operations team focusing on Business Activity classification function with specialization in Digital Assets. MSCI Data team research and evaluate companies, instrument and other asset classes on multitude of different factors. The team will be in charge of providing classification of Digital Asset and related asset types as per Datonomy methodology and manage their upkeep in systematic way. The position provides exposure to full life cycle of digital asset initiation, classification, ongoing maintenance and its derived used in products across MSCI Index and other business units. Responsibilities The candidate will be member of highly skilled team that solves complex problems involving but not limited to the following: Part of the team to re-engineer the Digital Asset classification operations. Work with engineering team to design, build and test system. Build AI/LLM augmented QA, source transparency and governance controls into the process. Integrate unique digital asset identifier and ongoing universe management process. Will also be responsible to work on other business classification as part of the larger team including issuer and business segment classification across different asset classes (Equities, Privates, Fixed Income issuers). Manage daily operations, coverage expansion, internal and client query management. Exposure to Equity, Fixed Income & other related indexes, performance and analytics; Exchange and vendor data feeds and symbology etc. Perform in depth analysis of data, analytics and workflows in order to improve processes and/or develop new work tools in collaboration with Tech and Development teams Collaborating across a global organization to service both internal and external clients in a shared services environment Partnering with our product and coverage organization to service first-rate clientele including many of the world’s central banks, leading financial institutions, hedge funds, and corporations. Qualifications Masters degree in Finance/Economics from premier institute (including equivalents CFA, CA, FRM) or engineering degree with a solid experience in finance 2-5 years of relevant experience (Associate) / 5-7 years of relevant experience (Senior Associate) Working knowledge of financial markets data operations (Equity, Fixed Income, Alternate investments) Excellent communication skills (both written and presentation), ability to work in multi-cultural environment Self-starter and drive to work in individual capacity with minimum oversight Solid background in Excel and Working knowledge of SQL Experience working with IT teams, knowledge of charting tools (Tableau, Power BI etc.) and basic coding skills to build Proof of Concept models (Python, R, other scripting etc.) will be added advantage. Desired Experience Exposure to content/research work in Alternate Asset class, especially digital assets will be a plus. Experience in working with global vendors will be a plus (Reuters, Interactive Data, Factset etc.) Exposure to different work shifts and schedules (but No US night shift) What we offer you Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing. Flexible working arrangements, advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients. Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development. Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles. We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum. At MSCI we are passionate about what we do, and we are inspired by our purpose – to power better investment decisions. You’ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry. MSCI is a leading provider of critical decision support tools and services for the global investment community. With over 50 years of expertise in research, data, and technology, we power better investment decisions by enabling clients to understand and analyze key drivers of risk and return and confidently build more effective portfolios. We create industry-leading research-enhanced solutions that clients use to gain insight into and improve transparency across the investment process. MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email Disability.Assistance@msci.com and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries. To all recruitment agencies MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes. Note on recruitment scams We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on careers.msci.com

Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. Join Team Amex and lets lead the way together. The SBS Card Cross-Sell & Engagement Analytics team is part of the Analytics, Investment and Marketing enablement (AIM) group within GCS (Global Commercial Services) Marketing at American Express. This team is responsible for leading innovative analytics across Marketing channels for the US SME segment to drive internal acquisitions with increased and sustainable engagement levels. The analyst will be responsible for performing strategic analyses, build frameworks, synthesizing conclusions, and communicating recommendations to partners. S/he will be responsible for building key decision frameworks aimed at driving robust targeting and investment optimization. The ideal candidate is able to drive strategic decision making and execute new strategies via advanced analytics, disciplined test & learn, effective story-telling and partnerships. The position is part of a highly collaborative environment, and the Analyst will partner closely with functional (channel specific) analytics and Finance teams based out of NY. How will you make an impact in this role? Responsibilities Partner closely with Finance and US Consumer to align on the Cardmember value (CMV) framework to ensure consistency across BU (US Consumer Services) Collaborate with finance to create robust behavioral inputs for investment optimization Understand the cardmember value framework for internal acquisitions and independently drive enhancements and optimizations on the same Partner with channel owners in the NY team to drive enhancements via levers such as Orchestra and establishing paths to primacy through test and learn to optimize channel ROI Exceptional execution skills be able to resolve issues, identify opportunities, and define success metrics and make things happen. Excellent communication skills with the ability to engage, influence, and inspire partners and stakeholders to drive collaboration and alignment. Minimum Qualifications Strong analytical/conceptual thinking acumen to solve business problems and articulate key findings to senior leaders/stakeholders in a succinct and concise manner Ability to project-manage effectively and manage several concurrent projects through collaboration across teams. Ability to project-manage effectively and manage several concurrent projects through collaboration across teams. Expertise in Hive, Python, PySpark, SQL encompassing data manipulation and statistical modeling/data-mining techniques and Microsoft Excel & Power point. Excellent communication and interpersonal skills, and ability to build and retain strong working relationships Demonstrated ability to work independently and across a matrix organization partnering with cross-functional teams and external vendors to deliver solutions at top speed Preferred Qualifications Master s degree in a quantitative field (e.g. Statistics, Engineering, Physics, Mathematics, Economics) or business field preferred : Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations

Visa s Technology Organization is a community of problem solvers and innovators reshaping the future of commerce. We operate the world s most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people. While working with us you ll get to work on complex distributed systems and solve massive scale problems centered on new payment flows, business and data solutions, cyber security, and B2C platforms. The Opportunity: We are looking for versatile, curious, and energetic Data Engineers who thrive on solving complex challenges on a global scale. As a Data Engineer at Visa, you will be an integral part of a multi-functional development team, working on architecting intricate big data systems and developing diverse analytical practices to address complex data challenges. You will leverage your comprehensive knowledge of ETL and data engineering techniques to develop and maintain data and tools that provide self-service capabilities to business users. While solving or consuming large transactional data, you will work with powerful payment technology and witness your efforts shaping the digital future of monetary transactions. Your ability to work across functions and teams will drive results and foster a culture of engineering excellence and innovation. We seek motivated individuals who take initiative and have a knack for rapid learning. Key Responsibilities : A growth mindset that is curious and passionate about technologies and enjoys challenging projects on a global scale Develop and maintain scalable data pipelines, ETL processes, and data warehousing solutions. Ensure data security and compliance with best practices and regulations. Utilize tools like Spark, Hadoop, Hive, Scala, Python, and SQL for data analysis and processing. Apply knowledge of Agentic AI and Generative AI models, including GPT-3 and GPT-4, to develop innovative data solutions. Create innovative prototypes and regularly influence senior leadership through continuous prototyping. Work effectively both as a team member and independently with minimal supervision. The Skills You Bring : Energy and Experience : A growth mindset that is curious and passionate about technologies and enjoys challenging projects on a global scale Challenge the Status Quo : Comfort in pushing the boundaries, hacking beyond traditional solutions Language Expertise : Expertise in one or more general development languages (e.g., Python, Java, Spark) Experience in solving data problems using technologies such as Hadoop, Hive, and Spark. Builder : Experience building and deploying modern services and web applications with quality and scalability Learner : Constant drive to learn new technologies such as data models, data mining, and segmentation methods, along with proficiency in developing scalable platforms from scratch, including architecture design, implementation, and deployment. Partnership : Experience collaborating with Product, Data Analysts, and Agile/Scrum teams to provide data insights and support analytical needs. **We do not expect that any single candidate would fulfill all of these characteristics. For instance, we have exciting team members who are really focused on building scalable systems but didn t work with payments technology or web applications before joining Visa. This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager. Basic Qualifications: 2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience Preferred Qualifications: 3 or more years of work experience with a Bachelor s Degree or more than 2 years

Transport is at the core of modern society. Imagine using your expertise to shape sustainable transport and infrastructure solutions for the future? If you seek to make a difference on a global scale, working with next-gen technologies and the sharpest collaborative teams, then we could be a perfect match. Group Trucks Technology are seeking talents to help design sustainable transportation solutions for the future. As part of our team, you ll help us by engineering exciting next-gen technologies and contribute to projects that determine new, sustainable solutions. Bring your love of developing systems, working collaboratively, and your advanced skills to a place where you can make an impact. Join our design shift that leaves society in good shape for the next generation. Who We Are If you want to be a part of an exciting Quality and Customer Satisfaction (Q&CS) team where you can drive and impact the quality of Volvo Trucks Brand, come join us! You will be engaged within the advanced analytics and machine learning initiatives focused on emerging issue detection, problem definition and resolution support within our team. This is done in parallel with other data and product quality leaders located across our sites. Q&CS s is part of Volvo Group Truck Technology Team. Our team s mission is to ensure the product quality performance for the complete product line through investigating and prioritizing market product quality issues. Our data team secures the voice of the customer in the problem-solving processes through clear and concise data storytelling. This role supports achieving product quality goals and metrics that directly pertain to customer satisfaction. In this position you will use fundamental analytics approaches as well as advanced analytics techniques to accelerate field quality issue solving process. This process includes conventional, electric and fuel cell powertrains in our Trucks and Coaches. Volvo is a global organization. This position involve collaboration with sites located in Sweden, France, Brazil and US locations. What You Will be Doing You will be part of the Q&CS product quality Bangalore organization. Your creative thinking and problem-solving skills will contribute to identifying and solving complex quality challenges through the areas of data mining and optimization. You will be actively working with quality issue management and ways to increase Uptime for our customers. QCS Data Analyst will be responsible for: All steps of an analytics assignment ranging from fundamental to advanced statistical techniques, in the areas of data & business value exploration, data structuring, modelling, problem solving & recommendation within the Quality team. You will develop & implement methodologies to assist Product Quality Leaders in emerging issue detection, forecasting & predicting quality & uptime performance. Working with various data sources but not limited to warranty, logged vehicle, customer data, manufacturing data, high resolution truck data. You will be able to deliver all steps independently but also establish a network working closely with colleagues in Europe, India & Brazil on various initiatives. Collaborate closely with other Data Analysts, Data engineers, Data Architects and Data Scientists during the implementation and deployment of the advance analytics solution. Who You Are You are person with a passion for data driven decisions to solve important technical issues related to quality. A team player with eagerness to try and develop through collaboration, co-operation, and sharing insights, solutions, and ideas. Position Requirements: Minimum bachelor s degree in engineering, Computer Science, Mathematics, Statistics, or equivalent required. Graduate Degree Preferred Experience with problem solving in a quality organization that is technical focused. Very skilled in PowerBI Demonstrated experience with relevant technical tools such as: SQL, Python, R, Azure Analytics Cloud, Jupiter Notebook, and Apache Spark. Knowledge of unsupervised and supervised machine learning techniques. (Algorithms for classification, regression, clustering, or anomaly detection including but not limited to: K-means, Random Forest, etc.) You have excellent communication skills in English. To be the perfect match for this role, your critical competencies will include: Must have good energy, a positive attitude, and thrive in creative thinking. Real problem solver and confident to make data driven decisions. Excellent written and verbal communication skills for coordinating across teams. A drive to learn and master new technologies and techniques. Self-starter with the ability to prioritize critical tasks, as well as deliver on assignments within deadlines. Preferred qualifications (or willingness to learn!) Exposure to software development practices, including version control, unit testing, and code review. Process oriented individual with a continuous improvement mindset to drive DA product. Ready to join our team and shape tomorrow s society together with us? Who we are and what we believe in We are committed to shaping the future landscape of efficient, safe, and sustainable transport solutions. Fulfilling our mission creates countless career opportunities for talents across the group s leading brands and entities. Applying to this job offers you the opportunity to join Volvo Group . Every day, you will be working with some of the sharpest and most creative brains in our field to be able to leave our society in better shape for the next generation. We are passionate about what we do, and we thrive on teamwork. We are almost 100,000 people united around the world by a culture of care, inclusiveness, and empowerment. Group Trucks Technology are seeking talents to help design sustainable transportation solutions for the future. As part of our team, you ll help us by engineering exciting next-gen technologies and contribute to projects that determine new, sustainable solutions. Bring your love of developing systems, working collaboratively, and your advanced skills to a place where you can make an impact. Join our design shift that leaves society in good shape for the next generation.

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do - and they push us to ensure we take care of ourselves, each other, and our communities. Job Summary: What you need to know about the role: Apply strategic and data analytics skills to solve problems for the PayPal Risk team. Work with stakeholders across different teams such as Product, Platform, Machine Learning, Operations to drive strategic initiatives. Meet our team: The Global Risk Automation Strategy (GRAS) team focuses on driving automation initiatives for the risk back office. We work closely with the Front-end strategy, consumer and seller risk operations, product, and modeling teams to identify automation opportunities to drive efficiency. Job Description: Your way to impact As a Data Scientist 3, you will apply your strategic and analytical skills to solve challenging business problems. You will team up with world-class professionals to identify actionable insights that ultimately impact the bottom line of the company. We work in a space that looks deeply into emerging fraud trends to come up with analytical solutions to fight these fraud trends and we also work on business enablement opportunities that fuel growth and drive efficiencies within the organization Your day-to-day Provide analytical insights into problems, emerging trends and changes to portfolio Drive projects end to end from ideation to implementation in a time sensitive and efficient manner Identify new opportunities and continuous improvement to contribute to the team s KPIs and targets Case rating: Evaluate each lead and case for risk levels to determine the urgency, importance and need for manual reviews with a goal of Increasing case automation using various risk factors and exposure on a given account, additional profile or transactional information, adoption of Document Intelligence solution etc. Ensure that we balance automation goals with loss. Partner with GADS and front end strategy team for agent decision and trend-based feedback model to improve automation quality. Work closely with business partners and stakeholders to determine how to design analysis and measurement approaches that will significantly improve our ability to understand and address emerging business issues Effectively managing relevant stakeholders through the lifecycle of a project by effectively understanding the various needs, priorities and perspectives in order to drive for a solution Understand new products, features and trends and their impact to back-office reviews. Identifying present or future gaps in the team s existing reporting and tools suite Providing regular updates to leadership, product and other stakeholders that will simplify and clarify complex concepts and the results of analyses effectively with emphasis on the actionable outcomes and impact to business What do you need to bring? Solid technical / data-mining skills and ability to work with large volumes of data; extract and manipulate large datasets using common tools such as SQL, SAS, Hadoop, or other programming/scripting languages (Python, R, etc.) to translate data into business decisions/results Proven experience in using data and analytics to drive innovation in business processes to reduce manual efforts Be data-driven and outcome-focused Must have good business judgment with demonstrated ability to think creatively and strategically Must be an intuitive, organized analytical thinker, with the ability to perform detailed analysis Takes personal ownership; Self-starter; Ability to drive projects with minimal guidance and focus on high impact work Proven experience in working with multiple teams and stakeholders to deliver business outcomes. Proven experience in engaging with senior leadership teams to set up roadmap and to showcase project outputs Degree in Statistics, Mathematics, Computer Science, Economics, Engineering or related field with 10+ years experience. Work experience in risk management, data science in the payments space or banking/finance services industry would be particularly desirable. Proficiency using SQL and querying relational databases Experience in at least one statistical programming language (SAS, R, Python) Experience in predictive modelling techniques such as Regression, Classification, Time series forecasting, NLP, etc. Knowledge of latest developments in AI and how they can be used for enterprise level solutions Hands on experience with project/program management or working with PMO teams to deliver projects Team management skills to mentor team members to get best results Drive a culture of innovation in the team and proactively come up with ideas Preferred Qualification: Subsidiary: PayPal Travel Percent: 0 For the majority of employees, PayPals balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com . Who We Are: Click Here to learn more about our culture and community. Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at talentaccommodations@paypal.com . Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community . We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don t hesitate to apply.

SEO analyst at element8 Location Calicut, India Salary 10000 - 30000 /month Job Type Full-time Date Posted May 30th, 2025 Apply Now View All Jobs Download File We are a leading digital agency based in Dubai. We are looking for a results-driven SEO analyst with at least 1.5 years of hands-on experience in an agency environment. The ideal candidate should have a strong understanding of SEO best practices, search engine algorithms, and a proven track record of improving organic rankings and traffic for multiple clients across different industries. Key Responsibilities: Develop and execute on-page and off-page SEO strategies for multiple client projects. Conduct technical SEO audits and implement fixes. Perform keyword research, competitor analysis, and content gap analysis. Optimize website content, landing pages, and blog articles for SEO. Create and manage backlink-building campaigns. Use tools like Google Analytics, Search Console, SEMrush, Ahrefs, Screaming Frog, etc. to track, analyze, and report on performance. Stay updated with the latest SEO trends and algorithm changes. Collaborate with content, design, and development teams to implement SEO recommendations. Prepare regular performance reports for clients and suggest improvements Requirements: 1.5+ years of experience in an SEO role within a digital marketing agency. Solid understanding of search engine algorithms and ranking methods. Experience with SEO tools like Ahrefs, SEMrush, Moz, Google Analytics, Google Search Console, etc. Proficiency in keyword research and data mining tools. Ability to work on multiple projects and clients simultaneously. Strong analytical skills and attention to detail. Good written and verbal communication skills. Basic understanding of HTML/CSS and website CMS platforms like WordPress is a plus. Preferred Qualifications: Google Analytics and/or Google Ads certification. Knowledge of local SEO and international SEO practices. Experience in content marketing or social media is an added advantage. Apply Now

Process Mining Senior Analyst Job Description Join Kimberly-Clark and Make a Difference! At Kimberly-Clark, we don t settle for ordinary and neither should you. We re on a mission to create Better Care for a Better World, and that takes exceptional people who are passionate about making a difference. From our new Global Capability Center in Pune, you ll help power our iconic brands and global operations with your expertise, innovation, and drive. Role Overview: As the GBS Global Reporting & Analytics Leader , you will champion the use of data analysis, lead digital enablement and transformation using process mining, and create engaging and interactive visualizations utilizing Celonis to locate and define new process improvement opportunities. You will be accountable for process mining and reporting analytics to ensure GBS business process and technology capabilities are effective, efficient, and adhere to audit requirements. Additionally, you will focus on analytics development and insights to drive successful transformational activities related to functional areas within GBS, including but not limited to, Accounting-to-Report (ATR), Procure-to-Pay (PTP), and Order-to-Cash (OTC). Key Responsibilities: Advanced Analytical Thinking : Utilize advanced analytical thinking and data mining skills to create and maintain a robust data architecture for process mining. Data Architecture Design : Develop KPI metrics, automations, and analyses for sustained problem-solving. Global Process Analysis : Analyze and interpret global GBS processes to influence strategic and tactical efficiency recommendations. Technical Expertise : Leverage advanced technical and functional expertise to identify insights and develop data analyses and visualizations. Strategic Automations : Influence and develop new strategic automations and leverage machine learning through Celonis. Best Practices : Use data to align, develop, and mobilize GBS best practices that deliver improved service, reduced cost, and complexity. Qualifications: Education : Bachelors Degree (B.S.) in a relevant field. Experience : 7-9 years of experience in global business services, data science, analytics, and/or data modeling. Technical Skills : Hands-on experience with Celonis software, including Process Analysis, Transformation, Event Collection, and Action Flows. Analytics & Visualization : Advanced analytics, data visualization, and reporting dashboard design and development experience. Team Collaboration : Ability to work in a virtual team across regions, cultures, time zones, and reporting lines, including suppliers, partners, and customers. About Us: Huggies . Kleenex . Cottonelle . Scott . Kotex . Poise . Depend . Kimberly-Clark Professional . You already know our legendary brands and so does the rest of the world. Millions of people use Kimberly-Clark products every day. We know these amazing products wouldn t exist without talented professionals like you. At Kimberly-Clark, you ll be part of the best team committed to driving innovation, growth, and impact. With over 150 years of market leadership, we re always looking for new and better ways to perform. It s all here for you at Kimberly-Clark. Led by Purpose. Driven by You. About You: You perform at the highest level possible and appreciate a performance culture fueled by authentic caring. You want to be part of a company dedicated to sustainability, inclusion, wellbeing, and career development. You love what you do, especially when it makes a difference. At Kimberly-Clark, we re constantly exploring new ideas on how, when, and where we can best achieve results. When you join our team, you ll experience Flex That Works: flexible (hybrid) work arrangements that empower you to have purposeful time in the office and partner with your leader to make flexibility work for both you and the business. And finally, the fine print For Kimberly-Clark to grow and prosper, we must be an inclusive organization that applies the diverse experiences and passions of its team members to brands that make life better for people all around the world. We actively seek to build a workforce that reflects the experiences of our consumers. When you bring your original thinking to Kimberly-Clark, you fuel the continued success of our enterprise. We are a committed equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation, gender identity, age, pregnancy, genetic information, citizenship status, or any other characteristic protected by law. Employment is subject to verification of pre-screening tests, which may include drug screening, background check, and DMV check. #LI-Hybrid Primary Location Pune Kharadi Hub Additional Locations Worker Type Employee Worker Sub-Type Regular Time Type Full time