1830 Data Mining Jobs - Page 49

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : SAP for Mining Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure that application development aligns with business objectives, overseeing project timelines, and facilitating communication among stakeholders to drive project success. You will also engage in problem-solving activities, providing guidance and support to your team while ensuring that best practices are followed throughout the development process. Your role will be pivotal in ensuring that applications meet the needs of users and stakeholders alike, fostering an environment of innovation and efficiency. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate training and development opportunities for team members to enhance their skills.- Monitor project progress and implement necessary adjustments to ensure timely delivery. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP for Mining.- Good To Have Skills: Experience with SAP S/4HANA.- Strong understanding of application lifecycle management.- Experience in project management methodologies such as Agile or Waterfall.- Familiarity with integration techniques and tools for SAP applications. Additional Information:- The candidate should have minimum 5 years of experience in SAP for Mining.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

Title : S&CGN - Tech Strategy & Advisory - Tech Strategy & GCC ¢‚€ Consultant Job Title - S&CGN - Tech Strategy & Advisory - Tech Strategy & GCC Consultant Management Level :09 Consultant Location:Bangalore, Gurugram, Pune, Mumbai, Hyderabad Must have skills:Tech Strategy & GCC Good to have skills:ITOM Job Summary : The Technology Strategy & Advisory Practice is a part of Accenture Strategy and focuses on the clients most strategic priorities. We help clients achieve growth and efficiency through innovative R&D transformation, aimed at redefining business models using agile methodologies. We provide you with a great learning ground, deep-rooted in IT Strategy , where you will get an opportunity to advice and work with our key global clients, driving end-to-end transformative strategic value and business growth. As a part of this high performing team, these are some of the initiatives you will drive: Industry & Technology Infrastructure Assessment: Understanding of client technology operations to grasp the context of global, industry, economic, technology, and social trends Draw Roadmaps for IT implementations: Pinpoint the right data-driven Digital, IT or Cloud technology strategy solutions for practical implementation road maps Monitor Digital, IT & Cloud Strategy: Managing change, monitoring, and gauging processes, and taking remedial steps Roles & Responsibilities: Your prior experience- 4 7 years of Strategy Consulting experience at a consulting firm Experience in at least 2 of the example offerings:Tech Strategy, Tech Operating Models, IT Shared Services Strategy, Cloud Transformation, Industry & New Technology, Technology ROI/Cost Take Out, Modern Architecture, Data-Driven Enterprise 3+ years of experience writing business cases (quantitative and qualitative) to support strategic business initiatives, process improvement initiatives, or IT transformation 2+ years of experience leading or managing large teams effectively including planning/structuring analytical work, facilitating team workshops, and developing technology strategy recommendations Good knowledge of technology and enterprise architecture concepts through practical experience and knowledge of technology trends e.g. Mobility, Cloud, Digital, Collaboration A strong understanding in any of the following industries is preferred:Financial Services, Retail, Consumer Goods, Telecommunications, Life Sciences, Transportation, Hospitality, Automotive/Industrial, Mining and Resources or equivalent domains Exposure to industry frameworks e.g. TOGAF, DODAF desirable but not essential Additional Information: MBA from a tier 1 institute About Our Company | Accenture (do not remove the hyperlink)Qualification Experience: Minimum 3 year(s) of experience is required Educational Qualification: B.Tech/BE (Accurate educational details should capture)

Dalmia Cement Bharat Ltd is looking for Mining Engineer to join our dynamic team and embark on a rewarding career journey Analyzing customer needs to determine appropriate solutions for complex technical issues Creating technical diagrams, flowcharts, formulas, and other written documentation to support projects Providing guidance to junior engineers on projects within their areas of expertise Conducting research on new technologies and products in order to recommend improvements to current processes Developing designs for new products or systems based on customer specifications Researching existing technologies to determine how they could be applied in new ways to solve problems Reviewing existing products or concepts to ensure compliance with industry standards, regulations, and company policies Preparing proposals for new projects, identifying potential problems, and proposing solutions Estimating costs and scheduling requirements for projects and evaluating results

Consultant Natural Resources Find endless opportunities to solve our clients' toughestchallenges, as you work with exceptional people, the latest tech and leading companies across industries. Practice: Industry Programs, Natural Resources, Global Network I Areas of Work: Metals, Mining, Digital Transformation | Level: Consultant | Location: India | Years of Exp: 5-9 years Explore an Exciting Career at Accenture Are you an outcome-oriented problem solverDo you enjoy working on transformation strategies for global clientsDoes working in an inclusive and collaborative environment spark your interest Then, Accenture Strategy and Consulting is the right place for you to explore limitless possibilities. As a part of the Natural Resources practice, you will help power growth and innovation at speed and scale for our clients while beinggood stewards of our resources. From analytics to connected mines, we help mining, metals, forest products and building materials companies transform. Together, lets build a safer, smarter and a sustainable world. In this practice, you will work with leading Natural Resources clients across the globe, covering their end-to-end value chain while driving the following initiatives: Leverage industry knowledge, world class capabilities, innovation and digital experience for our clients in the Metal and Mining industry, bolstering their growth. Engage with senior management as part of the go-to market team and assist in sales and project deliveries leveraging analytics and upcoming technology. Develop and execute global strategies , manage complex change initiatives and integrate solutions to meet changing business challenges. Deliver competently within one geography, or across geographies. Drive engagements in the area of digital transformation , operational excellence, drive initiatives around analytics and upcoming AI technologies. Provide sound solutions to executives within all aspects of metal and mining value chain. Harness extensive knowledge combined with an integrated suite of methods, people and assets to deliver sustainable long-term solutions. Provide necessary strategies and tools to the teams, driving their client organizations toward high performance in the new market realities. Develop strong asset repository of key performance indicators (KPIs) leading practices and process models for Metal and Mining industry. Deliver potential solutions spanning areas such as capex project management, business process optimization, operational excellence, maintenance and reliability and industrial automation. Qualification Bring your best skills forward to excel in the role: Excellent people management skills to be able to streamline processes with other analysts and consultants Negotiation, mediation and conflict management skills to resolve complex issues Ability to solve complex business problems and deliver client delight Strong writing skills to build viewpoints on current industry trends Good analytical and problem-solving skills with an aptitude to learn quickly Excellent communication, interpersonal and presentation skills Cross-cultural competence with an ability to thrive in a dynamic environment Read more about us. Recent Blogs Your experience counts! Engineering Bachelors or Master's degree in Metallurgical, Mining, Production or Mechanical, or similar streams, and/or MBA from a Tier-1 B-school 5-9 years consulting experience in Metals and Mining industry or 3-5 years of industry experience plus 2-4 years of Consulting experience in Natural Resources industry group Knowledge of business processes in the industry, value chain and KPIs Exposure to enterprise solutions like SAP, Oracle, and/or business solutions like optimization tools, inventory management solutions, and so on Understanding of Innovative application and next generation technology such as Artificial Intelligence, IoT, and other digital trends, for improvement in this industry Experience of creating business use cases for digital application in Metal and Mining industry Exposure to operational reporting and understanding the pain areas in the industry is desirable Experience of successfully delivering business process management, and operations excellence projects Supply chain experience in procurement, logistics, inventory management Global perspective and understanding of business marketplace Proficiency in python, SQL and other programming is added advantage Whats in it for you An opportunity to work on transformative projects with key G2000 clients Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners and, business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed responsible business into everythingfrom how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge and capabilities Opportunity to thrive in a culture that is committed to accelerate equality for all. Engage in boundaryless collaboration across the entire organization. About Accenture: Accenture is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations. Combining unmatched experience and specialized skills across more than 40 industries and all business functions underpinned by the worlds largest delivery network Accenture works at the intersection of business and technology to help clients improve their performance and create sustainable value for their stakeholders. With XX people serving clients in more than 120 countries, Accenture drives innovation to improve the way the world works and lives. Visit us at www.accenture.com About Accenture Strategy & Consulting: Accenture Strategy shapes our clients future, combining deep business insight with the understanding of how technology will impact industry and business models. Our focus on issues such as digital disruption, redefining competitiveness, operating and business models as well as the workforce of the future helps our clients find future value and growth in a digital world. Today, digital is changing the way organizations engage with their employees, business partners, customers and communities. This is our unique differentiator. To bring this global perspective to our clients, Accenture Strategy's services include those provided by our S&C Global Network a distributed management consulting organization that provides management consulting and strategy expertise across the client lifecycle. Our S&C Global Network teams complement our in-country teams to deliver cutting-edge expertise and measurable value to clients all around the world. come and be a part of our team.

Design of complex ETL interfaces with agnostic tool set for various source/target types (SAP BODS preferred) Performance Tuning & Troubleshooting skills across all technologies used Strong in DB and SQLs with decent data modeling skills Ability to lead developers and QA and adhere to committed timelines Agile experience is preferred Ability to work with upstream, downstream, and reporting system stakeholders and convert business requirements into technical requirements (JIRA stories) 10 years of experience in: - ETL tools - Repository maintenance - Migration of jobs/workflows/dataflows - Job monitoring, break fix, user maintenance - CDC (Change Data Capture) - Oracle Golden Gate - Working with different sources/targets (Oracle, SAP, Files as source; SQL Server, file uploads as targets) Role Description : - Responsible for planning, developing, implementing, and managing data warehouse project deliverables - Design documents and high-level data mapping for ETL specifications - Create transformations in ETL jobs to achieve data cleansing and standardizations during initial data load - Provide support for integration testing, defect fixing, and deployment Proficient knowledge in: - Transformations like Query Push down, SQL Table Comparison, Pivot, Look up, etc. - Databases like Oracle, SQL Queries, SQL Server - Dimensional modeling, data mining, and data warehouse concepts Excellent analytical skills Knowledge to transfer data from Oracle, SQL Server tables, and Web Services either incrementally (Delta Load) or full load to the data warehouse on a periodic basis Troubleshooting existing ETL jobs and improving performance of existing jobs Creating and loading data into aggregate tables using transformations Ability to perform tasks individually and independently Design of complex ETL interfaces with agnostic tool set for various source/target types (SAP BODS preferred) Performance Tuning & Troubleshooting skills across all technologies used Strong in DB and SQLs with decent data modeling skills Ability to lead developers and QA and adhere to committed timelines Agile experience is preferred Ability to work with upstream, downstream, and reporting system stakeholders and convert business requirements into technical requirements (JIRA stories) 10 years of experience in: - ETL tools - Repository maintenance - Migration of jobs/workflows/dataflows - Job monitoring, break fix, user maintenance - CDC (Change Data Capture) - Oracle Golden Gate - Working with different sources/targets (Oracle, SAP, Files as source; SQL Server, file uploads as targets) Role Description : - Responsible for planning, developing, implementing, and managing data warehouse project deliverables - Design documents and high-level data mapping for ETL specifications - Create transformations in ETL jobs to achieve data cleansing and standardizations during initial data load - Provide support for integration testing, defect fixing, and deployment Proficient knowledge in: - Transformations like Query Push down, SQL Table Comparison, Pivot, Look up, etc. - Databases like Oracle, SQL Queries, SQL Server - Dimensional modeling, data mining, and data warehouse concepts Excellent analytical skills Knowledge to transfer data from Oracle, SQL Server tables, and Web Services either incrementally (Delta Load) or full load to the data warehouse on a periodic basis Troubleshooting existing ETL jobs and improving performance of existing jobs Creating and loading data into aggregate tables using transformations Ability to perform tasks individually and independently

Grade IResponsible for supporting the delivery of business analysis and consulting processes and procedures for the defined specialism using basic technical capabilities, developing working relationships to provide support with queries, issues and ad-hoc requests and assisting with quality assurance services. Specialisms: Business Analysis; Data Management and Data Science; Digital Innovation. Entity: Technology ITS Group You will work with Being part of a digital delivery data group supporting bp Solutions, you will apply your domain knowledge and familiarity with domain data processes to support the organisation. Part of bp s Production Operations business, bp Solutions has hubs in London, Pune, and Houston. The data team provides daily operational data management, data engineering and analytics support to this organisation across a broad range of activity from facilities and subsea engineering to logistics. Let me tell you about the role A data analyst collects, processes, and performs analyses on a variety of datasets. Their key responsibilities include interpreting sophisticated data sets to identify trends and patterns, using analytical tools and methods to generate actionable insights, and crafting visualizations and reports to communicate those insights and recommendations to support decision-making. Data analysts collaborate closely with business domain collaborators to understand their data analysis needs, ensure data accuracy, write and recommend data-driven solutions and tackle value impacting business problems. You might be a good fit for this role if you: Have strong domain knowledge in at least one of; facilities or subsea engineering, maintenance and reliability, operations, logistics. Strong analytical skills and proven capability in applying analytical techniques and Python scripting to solve practical problems. Are curious, and keen to apply new technologies, trends methods to improve existing standards and the capabilities of the Subsurface community. Are well organized and self-motivated, you balance proactive and reactive approaches and across multiple priorities to complete tasks on time. Apply judgment and common sense - you use insight and good judgment to inform actions and respond to situations as they arise. What you will deliver Be a link between asset teams and Technology, combining in-depth understanding of one or more relevant domains with data analytics skills Provide actionable, data-driven insights by combining deep statistical skills, data manipulation capabilities and business insight. Proactively identify impactful opportunities and autonomously complete data analysis. You apply existing data analytics strategies relevant to your immediate scope. Clean, pre-process and analyse both structured and unstructured data Develop data visualisations to analyse and interrogate broad datasets (e.g. with tools such as Microsoft PowerBI, Spotfire or similar). Present results to peers and senior management, influencing decision making What you will need to be successful (experience and qualifications) Essential MSc or equivalent experience in a quantitative field, preferably statistics. have strong domain knowledge in at least one of; facilities or subsea engineering, maintenance and reliability, operations, logistics. Hands-on experience carrying out data analytics, data mining and product analytics in complex, fast-paced environments. Applied knowledge of data analytics and data pipelining tools and approaches across all data lifecycle stages. Deep understanding of a few and a high-level understanding of several commonly available statistics approaches. Advanced SQL knowledge. Advanced scripting experience in R or python. Ability to write and maintain moderately sophisticated data pipelines. Customer-centric and pragmatic approach. Focus on value delivery and swift execution, while maintaining attention to detail. Good communication and social skills, with the ability to effectively communicate ideas, expectations, and feedback to team members, partners, and customers. Foster collaboration and teamwork Desired Advanced analytics degree. Experience applying analytics to support engineering turnarounds Experience with big data technologies (e.g. Hadoop, Hive, and Spark) is a plus. About bp Our purpose is to deliver energy to the world, today and tomorrow. For over 100 years, bp has focused on discovering, developing, and producing oil and gas in the nations where we operate. We are one of the few companies globally that can provide governments and customers with an integrated energy offering. Delivering our strategy sustainably is fundamental to achieving our ambition to be a net zero company by 2050 or sooner! Travel Requirement Up to 10% travel should be expected with this role Relocation Assistance: This role is eligible for relocation within country Remote Type: This position is a hybrid of office/remote working Skills:

Job Title Data Analyst Job Description Summary This role focuses on developing advanced analytics systems, uncovering growth opportunities through data analysis, and creating insightful reports and visualizations. It will involve close collaboration with managers to understand business needs, define KPIs, and deliver actionable insights that enhance performance and efficiency. Key responsibilities include data mining, predictive modeling, system evaluation, and maintaining robust data infrastructure to support strategic decision-making. Job Description Work closely with the Program manager (s) and department heads to understand and maintain focus on their analytics needs, including critical metrics and KPIs, and deliver actionable insights to relevant decision-makers Proactively analyze data to answer key questions for stakeholders or yourself, with an eye on what drives business performance, and investigate and communicate which areas need improvement in efficiency and productivity Create and maintain rich insights to facilitate cross sell and upsell decisions through deep data mining Define and implement data acquisition and integration logic, selecting an appropriate combination of methods and tools within the defined technology stack to ensure optimal scalability and performance of the solution Develop and maintain databases by acquiring data from primary and secondary sources Providing technical expertise in data storage structures, data mining, and data cleansing. Build predictive analysis and churn analysis to impact revenue enhancement and retention INCO: Cushman Wakefield

We are currently seeking an experienced professional to join our team in the role of Global Support Executive Principal responsibilities Ensure daily operational efficiency by effective BAU completion, market specific requirements/procedures visibility and performance monitoring of various systems in own process. Issues/problems are fully analyzed and resolved or escalated where necessary. Appropriate action/controls are taken to prevent recurrence. To acquire a broad understanding of the business and to keep abreast with the latest developments in the assigned markets on the rules regulations by the regulators, stock exchange and etc that may have implication to the daily operations To consistently maintain a high level of customer service by achieving established SLAs. To support Business Continuity Plan (BCP) by adhering to Group BCP guidelines. Ensure all instructions from customers and to agents and custodians are actioned in an accurate and timely basis. Ensure all reconciliation items are cleared correctly and on a daily basis where possible, and that all outstanding items are narrated according to SOX standards and adhering to the company FIM policy. Ensure that all notifications that are sent to your customers are accurate and on time. Consistently maintain a high level of customer service. Requirements Ability to speak and understand English fluently, write business letters and reports, and have good conversational / telephone skills. Ability to learn quickly, transfer knowledge appropriately, understand and interpret numeric data. Evidence of good analytical, statistical and data mining skills to study trends and make projections. Production management skills and ability to initiate process improvements. Attention to detail and accuracy. Customer focused and committed to providing a high quality service. Able to work in pressurized environment and manage priorities effectively. Strong collaborative management skills with the various stakeholders Problem solving skills and ability to drive process improvements High integrity and professionalism

Job Description: Role Title: AVP, Business Intelligence Developer (L11) Company Overview: Synchrony (NYSE: SYF) is a premier consumer financial services company delivering one of the industry s most complete digitally enabled product suites. Our experience, expertise and scale encompass a broad spectrum of industries including digital, health and wellness, retail, telecommunications, home, auto, outdoors, pet and more. We have recently been ranked #2 among India s Best Companies to Work for by Great Place to Work. We were among the Top 50 India s Best Workplaces in Building a Culture of Innovation by All by GPTW and Top 25 among Best Workplaces in BFSI by GPTW. We have also been recognized by AmbitionBox Employee Choice Awards among the Top 20 Mid-Sized Companies, ranked #3 among Top Rated Companies for Women, and Top-Rated Financial Services Companies. Synchrony celebrates ~51% women diversity, 105+ people with disabilities, and ~50 veterans and veteran family members. We offer Flexibility and Choice for all employees and provide best-in-class employee benefits and programs that cater to work-life integration and overall well-being. We provide career advancement and upskilling opportunities, focusing on Advancing Diverse Talent to take up leadership roles. Organizational Overview : The Business Intelligence and Reporting team is a part of the Technology and Operations team. We are an Enterprise Operation team supporting primarily collections and quality. We provide reporting that is insightful, timely and actionable. We help drive agent and business performance while improving customer satisfaction. Role Summary/Purpose: As a Business Intelligence (BI) Developer, you will be a dynamic and highly motivated individual with extensive experience working with internal stakeholders in acquiring and refining business requirements for business intelligence solutions in the financial industry. You will design, develop, and implement Natural Language Processing (NLP) solutions that will lead to increased efficiency and profitability across Operations. You will work in the Apache Spark framework and its machine learning library (Spark ML) to build scalable NLP pipelines using Python and PySpark. Essential Responsibilities: As a Business Intelligence Developer, you will identify insights and opportunities for increased efficiency and growth across functions in operations. You will build and analyze metrics that can be leveraged for business performance measurement, management, QA enhancement and improvement and derive insights about behavior of customers and agents Provide advanced analytics and experimentation support, enabling data-driven solutions by applying statistical techniques to solve business problems Demonstrate subject matter expertise and technical leadership in data extraction and manipulation, dash-boarding, visualization, and analytical/statistical/data mining techniques Deliver user-friendly and informative dashboards and recurring reports, iterating and prototyping to meet business needs Responsible for creating, optimizing and automating Spark NLP pipelines to process large volumes of text data efficiently Extract relevant features from text data to improve the performance of NLP models Assess the accuracy of NLP models and identifying areas for improvement through metrics like precision, recall, and F1-score Connecting Spark NLP pipelines with other data processing systems and applications, including data warehouses, databases, and visualization tools. Identify new innovative opportunities to drive performance improvement, efficiency, and cost savings Required Skills/Knowledge: Bachelor s degree (or foreign equivalent) in any discipline and minimum 5+ years of Business Intelligence experience within financial services, banking, or retail finance, or in lieu of degree, 7+ years Machine Learning experience within financial services, banking, or retail finance Minimum of 3+ years of experience in Natural Language Processing Minimum 2+ years of Tableau, Power BI or other data visualization tool Desired Characteristics: Strong background in ETL pipeline development in Anaconda Enterprise and proficiency in Python and SQL Experience working with Apache Spark framework and machine learning library (Spark ML) to build scalable NLP pipelines Extensive Python/PySpark ETL pipeline development experience Strong data visualization experience with Tableau utilizing data visualization best practices and performance optimization Effective communication skills with stakeholders, business analysts, architects and other developers Eligibility Criteria: Bachelor s degree (or foreign equivalent) in any discipline and minimum 5+ years of Business Intelligence experience within financial services, banking, or retail finance, or in lieu of degree, 7+ years Machine Learning experience within financial services, banking, or retail finance Work Timings: This role qualifies for Enhanced Flexibility and Choice offered in Synchrony India and will require the incumbent to be available between 06:00 AM Eastern Time - 11:30 AM Eastern Time (timings are anchored to US Eastern hours and will adjust twice a year locally). This window is for meetings with India and US teams. The remaining hours will be flexible for the employee to choose. Exceptions may apply periodically due to business needs. Please discuss this with the hiring manager for more details. For Internal Applicants : Understand the criteria or mandatory skills required for the role, before applying Inform your manager and HRM before applying for any role on Workday Ensure that your professional profile is updated (fields such as education, prior experience, other skills) and it is mandatory to upload your updated resume (Word or PDF format) Must not be any corrective action plan (Formal/Final Formal, LPP) L9+ Employees who have completed 18 months in the organization and 12 months in current role and level are only eligible. L09+ Employees can apply Grade/Level: 11 Job Family Group: Information Technology

Job Description As a Senior Data Engineer, your role is to spearhead the data engineering teams and elevate the team to the next level! You will be responsible for laying out the architecture of the new project as well as selecting the tech stack associated with it. You will plan out the development cycles deploying AGILE if possible and create the foundations for good data stewardship with our new data products! You will also set up a solid code framework that needs to be built to purpose yet have enough flexibility to adapt to new business use cases tough but rewarding challenge! Responsibilities Collaborate with several stakeholders to deeply understand the needs of data practitioners to deliver at scale Lead Data Engineers to define, build and maintain Data Platform Work on building Data Lake in Azure Fabric processing data from multiple sources Migrating existing data store from Azure Synapse to Azure Fabric Implement data governance and access control Drive development effort End-to-End for on-time delivery of high-quality solutions that conform to requirements, conform to the architectural vision, and comply with all applicable standards. Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner. Further develop critical initiatives, such as Data Discovery, Data Lineage and Data Quality Leading team and Mentor junior resources Help your team members grow in their role and achieve their career aspirations Build data systems, pipelines, analytical tools and programs Conduct complex data analysis and report on results Qualifications 5+ Years of Experience as a data engineer or similar role in Azure Synapses, ADF or relevant exp in Azure Fabric Degree in Computer Science, Data Science, Mathematics, IT, or similar fie

Job Description As a Lead Data Engineer, your role is to spearhead the data engineering teams and elevate the team to the next level! You will be responsible for laying out the architecture of the new project as well as selecting the tech stack associated with it. You will plan out the development cycles deploying AGILE if possible and create the foundations for good data stewardship with our new data products! You will also set up a solid code framework that needs to be built to purpose yet have enough flexibility to adapt to new business use cases tough but rewarding challenge! Responsibilities Collaborate with several stakeholders to deeply understand the needs of data practitioners to deliver at scale Lead Data Engineers to define, build and maintain Data Platform Work on building Data Lake in Azure Fabric processing data from multiple sources Migrating existing data store from Azure Synapse to Azure Fabric Implement data governance and access control Drive development effort End-to-End for on-time delivery of high-quality solutions that conform to requirements, conform to the architectural vision, and comply with all applicable standards. Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner. Further develop critical initiatives, such as Data Discovery, Data Lineage and Data Quality Leading team and Mentor junior resources Help your team members grow in their role and achieve their career aspirations Build data systems, pipelines, analytical tools and programs Conduct complex data analysis and report on results Qualifications 7+ Years of Experience as a data engineer or similar role in Azure Synapses, ADF or relevant exp in Azure Fabric Degree in Computer Science, Data Science, Mathematics, IT, or similar fiel

Want to join a team that protects and improves the buyer experience of millions Amazon customers and builds earths most customer-centric sellers daily using innovative technology including machine learning, data mining and big data analytics, cloud computing services, and highly available/scalable distributed systems that support hundreds of millions of transactions across the globe We have an exciting opportunity with the Regulatory Intelligence, Safety, and Compliance (RISC) engineering team, to architect and build next-generation engineering systems to quickly and accurately identify and mitigate product safety issues and potential risks to the customer experience. As a Software Development Engineer, you will work with your team of highly skilled software, data, and ML engineers to invent, design, build and manage highly scalable distributed systems that provide availability, scalability and latency guarantees. You will work with your internal customers to balance customer requirements with team requirements and help your team and business evolve, by working with LLMs and large data sets. You will be using the latest AI, AWS and industry technologies to deliver a one-stop risk identification and remediation ecosystem for Amazon, keeping our customers safe and products compliant, building the software creating the world s most trustworthy data set on everything companies and customers need to know related to the safety and compliance of products and chains. Each and every person buying, selling, or handling Amazon products will be your customer. As a member of this growing team, you ll be able to build the groundwork and influence its direction for the years to come. Our work cuts across various disciplines from delivering an awesome user experience via great UI/UX, to building massively scalable backend systems to support the most high-traffic pages on Amazon.com, to analytical and feedback systems which give us data-driven customer insights, to using machine learning and AI to influence recommendations and marketing. If you have a passion for consumer-facing applications, and are obsessed with customer experience, we want you! If you d like to make a real-world difference by working hard, having fun, and making history, this is the team for you! In this role you will: Help define the system architecture, own and implement specific components, and help shape the overall experience Collaborate closely with product managers, UX designers, and other SDE team members to help define the scope of the product Take responsibility for technical problem solving, creatively meeting product objectives, and developing best practices Demonstrate cross-functional resource interaction to accomplish your goals Write high-quality, efficient, testable code in Java and other object-oriented languages Design Amazon-scale tools to facilitate internal business Build highly available, secure, and low-latency systems Mentor other developers Find out what it takes to engineer systems for "Amazon Scale" Design and build microservices Own and operate the systems that you build based on real-time customer data and demanding service-level agreements Contribute to planning, design, implementation, testing, operations, and process improvement A day in the life High-level designs, cross-team alignment, long-term architectural roadmap and technical strategy, understanding the business domain and proposing solutions to address customer and business problems, helping scope and analyze product requirements, mentorship, reviewing CRs, writing high-quality code to be an example for the team. 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience 3+ years of Video Games Industry (supporting title Development, Release, or Live Ops) experience Experience programming with at least one software programming language 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelors degree in computer science or equivalent

Are you interested in joining a team that safeguards and enhances the buying experience of Amazon customers worldwide while empowering sellers worldwide to build the most customer-centric marketplace on EarthOur team leverages a host of technologies including machine learning, data mining, big data analytics, cloud computing, and highly scalable distributed systems to support scalable global transactions every day. We have an exciting opportunity with the Regulatory Intelligence, Safety, and Compliance (RISC) engineering team, to architect and build next-generation engineering systems to quickly and accurately identify and mitigate product safety issues and potential risks to the customer experience. As a Software Development Engineer, you will collaborate with a team of talented software, data, and machine learning engineers to design, develop, and manage highly scalable distributed systems. These systems are engineered to ensure high availability, low latency, and seamless scalability safeguarding customers and ensuring product compliance. Your work will contribute to building the worlds most trusted data platform for all safety and compliance information related to products and supply chains. Each and every person buying, selling, or handling Amazon products will be your customer. As a member of this growing team, you ll be able to build the groundwork and influence its direction for the years to come. Our work cuts across various disciplines from delivering an awesome user experience via great UI/UX, to building massively scalable backend systems to support the most high-traffic pages on Amazon.com, to analytical and feedback systems which give us data-driven customer insights, to using machine learning and AI to influence recommendations and marketing. If you have a passion for consumer-facing applications, and are obsessed with customer experience, we want you! If you d like to make a real-world difference by working hard, having fun, and making history, this is the team for you! In this role you will: Help define the system architecture, own and implement specific components, and help shape the overall experience Collaborate closely with product managers, UX designers, and other SDE team members to help define the scope of the product Take responsibility for technical problem solving, creatively meeting product objectives, and developing best practices Demonstrate cross-functional resource interaction to accomplish your goals Write high-quality, efficient, testable code in Java and other object-oriented languages Design Amazon-scale tools to facilitate internal business Build highly available, secure, and low-latency systems Mentor other developers Find out what it takes to engineer systems for "Amazon Scale" Design and build microservices Own and operate the systems that you build based on real-time customer data and demanding service-level agreements Contribute to planning, design, implementation, testing, operations, and process improvement A day in the life High-level designs, cross-team alignment, long-term architectural roadmap and technical strategy, understanding the business domain and proposing solutions to address customer and business problems, helping scope and analyze product requirements, mentorship, reviewing CRs, writing high-quality code to be an example for the team. 5+ years of non-internship professional software development experience 5+ years of programming with at least one software programming language experience 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience as a mentor, tech lead or leading an engineering team 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelors degree in computer science or equivalent

Amazon.com s Buyer Risk Preventions (BRP) mission is to make Amazon the safest and most trusted place worldwide to transact online. BRP safeguards every financial transaction across all Amazon sites. As such, BRP designs and builds the software systems, risk models, and operational processes that minimize risk and maximize trust in Amazon.com. The BRP organization is looking for an Applied Scientist for the Buyer Abuse team, whose mission is to combine advanced analytics with investigator insight to create mechanisms to proactively and reactively reduce the impact of abuse across Amazon. As an Applied Scientist, you will be responsible for modeling complex problems, discovering insights, and building risk algorithms that identify opportunities through statistical models, machine learning, and visualization techniques to improve operational efficiency and reduce monetary losses and improve customer trust. You will need to collaborate effectively with business and product leaders within BRP and cross-functional teams to build scalable solutions against high organizational standards. The candidate should be able to apply a breadth of tools, data sources, and ML techniques to answer a wide range of high-impact business questions and proactively present new insights in concise and effective manner. The candidate should be an effective communicator capable of independently driving issues to resolution and communicating insights to non-technical audiences. This is a high impact role with goals that directly impacts the bottom line of the business. Responsibilities: Invent, implement, and deploy state of the art machine learning algorithms and systems Build prototypes and explore conceptually new solutions Define and conduct experiments to validate/reject hypotheses, and communicate insights and recommendations to Product and Tech teams Take ownership of how ML solutions impact Amazon resources and Customer experience Develop efficient data querying infrastructure for both offline and online use cases Collaborate with cross-functional teams from multidisciplinary science, engineering and business backgrounds to enhance current automation processes Learn and understand a broad range of Amazon s data resources and know when, how, and which to use and which not to use. Research and implement novel machine learning and statistical approaches Maintain technical document and communicate results to diverse audiences with effective writing, visualizations, and presentations Please visit https://www.amazon.science for more information PhD, or Masters degree and 2+ years of CS, CE, ML or related field experience Experience programming in Java, C++, Python or related language Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Experience using Unix/Linux Experience in professional software development

Amazons vision is to be the earths most customer centric company . The ambition of the Amazon payments business is to transform payments in India . The payments data team provides data and insights to the partner verticals so as to enable them to take decisions. This a senior role. The role requires team-work and building a business perspective. The individual will have to interact extensively with other members within the team, across business lines work in partnership with Machine Learning and Central Customer Analytic teams. There will be a steep learning curve, adding a fair amount of business skills to the individual. Ability to do exploratory analysis: Fetch data from systems and analyze trends Identify consumer segments that need to be actioned to drive adoption of Amazon Pay Developing India specific customer segmentation models to improve the efficiency of marketing and financing product roadmap inputs . Establishing mechanisms for cross functional teams to consume customer insights to improve engagement along the customer life cycle Ability to work with regulated(RBI, FIU, etc) bodies across IN Ability to identify and deepdive at the most granular level and flag anomalies Work with cross functional teams like Category, Product, Operations, etc 3+ years of tax, finance or a related analytical field experience 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience 3+ years of business or financial analysis experience Experience defining requirements and using data and metrics to draw business insights Experience making business recommendations and influencing stakeholders Experience with Excel -Advanced SQL / data mining skills -Extensive experience in reports/dashboards automation Experience with statistical analysis (R/python) -Experience working with data visualization tools and creating data visualization concepts (Tableau preferred, D3 is a bonus) E commerce experience is preferred

Company: Description: Marsh McLennan Global Services India Private Limited (MMGS) is seeking candidates for the following position based in the Mumbai, India office: Senior Principal Engineer - Data Science We will count on you to: Design and implement data analytics products to solve complex business problems and drive strategic outcomes. Utilize strong conceptual skills to explore Art of the Possible" in analytics, integrating data, market trends, and cutting-edge technologies to inform business strategies. Manage and manipulate large datasets from diverse sources, ensuring data quality through cleaning, consolidation, and transformation into meaningful insights. Conduct exploratory data analysis (EDA) to identify patterns and trends, reporting key metrics and synthesize disparate datasets for comprehensive insights. Perform rigorous quality assurance (QA) on datasets, ensuring accuracy, logical consistency, and alignment with analytical dashboards. Automate data capture processes from various sources, streamlining data cleaning and insight generation workflows. Apply knowledge of insurance claims, policies, terminologies, health risks, and wellbeing to enhance analytical models and insights. Develop Automation Solution for generating reports using tools such as Python, GenAI and ChatGPT APIs ensuring efficient and optimized code. Communicate complex data-driven solutions clearly and effectively, translating technical findings into actionable business recommendations. Having knowledge around Power BI/LLM/RAG will be preferred What you need to have: Bachelor s degree in engineering / Analytics or Master s Degree in Statistics/Computer Applications/ IT/Analytics /any discipline related to Data visualization / Analytics. 2-5 years of progressive experience in Data Science Hands-on exp. in Python (advance knowledge), GenAI, Excel - Intermediate and good understanding of BI tools -Power BI Technical expertise with data models, data mining, and segmentation techniques Strong consulting experience and stakeholder management Basic to intermediate visualization experience in Power BI Excellent with data understanding, transformation and EDA Keenness and urgency to learn about the Marsh and the business unit s business, and insurance industry in general What makes you stand out Should have an aspiration to learn and grow. Strong communication skills with an ability to work in a team. Should be able to work as a Team-player and adopt changes without hesitation. A commercial sense to apply proportionality to the depth of analytics used versus desired output. Ability to take initiatives to strive for improvement in analytics techniques, process and output. Why join our team: We help you be your best through professional development opportunities, interesting work and supportive leaders. We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities. Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being. Marsh, a business of Marsh McLennan (NYSE: MMC), is the world s top insurance broker and risk advisor. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit marsh.com, or follow on LinkedIn and X.

Design, develop, troubleshoot and debug software programs for databases, applications, tools, networks etc. As a member of the software engineering division, you will assist in defining and developing software for tasks associated with the developing, debugging or designing of software applications or operating systems. Provide technical leadership to other software developers. Specify, design and implement modest changes to existing software architecture to meet changing needs. Duties and tasks are varied and complex needing independent judgment. Fully competent in own area of expertise. May have project lead role and or supervise lower level personnel. BS or MS degree or equivalent experience relevant to functional area. 4 years of software engineering or related experience. Planning and Budgeting Cloud Service is one of leading SAAS offering in the Enterprise Performance Management Space. As part of Hyperion planning application development team you will be responsible for design, architecture and development of various horizontal and vertical applications for Planning and Budgeting Cloud Service using one of the best multidimensional technology called Hyperion Essbase. You will be involved in modelling and developing Essbase applications for building quick solutions for many horizontal and vertical segments of the market. Qualifications Applicants should have experience designing and building Planning/Essbase models 5 to 10 years of industry experience in design and development of software solutions. An engineering degree or MCA is required Scope of Position Independently manages architecture projects and technical engagements. Acts as a POC and supports escalations, pre-sales engagements, workshops, seminars, etc Have a passion for quality and writing high quality, production ready code Resolve complex technical issues and drive innovation that improves planning and budgeting process, relevancy and user experience Is sought out by, and frequently provides technical solutions to peers, promotes and enforces development lifecycle best practices in building Essbase models, manages and interacts with product management, quality engineering teams and developers from various teams, Oracle consultants, solutions specialists, partners, product managers, and customers Ensures high product quality through rigorous code reviews, bug fixing, and unit testing Able to perform in a very dynamic, tight timeframe, team-oriented, environment and work with well with other team-members Should be able to focus on multiple projects, research and propose any new technology that can be used to develop rich internet applications A strong knowledge in building models and calc script logic for essbase is a must have. A strong knowledge in Groovy scripting is must have Influence and Assist in system planning, scheduling and implementation and building requirements for future Sees a problem/solution from multiple perspectives and evaluates solutions that best suit the customers Balances the need to add complexity to a solution with the customers ability to understand, implement and maintain that solution Has strong sense of the business and technical strategy required to envision the "right" solution to the customers problem set given their business objectives Works effectively in a team environment and maintains good rapport with other members of the global team Demonstrates tact and diplomacy. Demonstrates good negotiation and relationship building skills A suitable title and role will be offered based on the qualifications and experience Knowledge of any financials and HR modules of any ERP is an added advantage particularly Oracle Ebiz or Orace Peoplesoft products OR Prior experience in any ETL/data mining applications is an added advantage. Working understanding of dimensional modeling/Data Warehousing concepts and techniques is must Design, develop, troubleshoot and debug software programs for databases, applications, tools, networks etc. As a member of the software engineering division, you will take an active role in the definition and evolution of standard practices and procedures. You will be responsible for defining and developing software for tasks associated with the developing, designing and debugging of software applications or operating systems

Data Science, Data Mining, Data co-ordination with marketing team, BI team Driving FA data campaigns Sales query resolution on regular basis Meeting exceeding business goals/targets in different products ie. Loans Insurance bundled/Non Bundled through Lead fulfillment Field Activity on existing Data Base Manage, control own all channels businesses. Recruit, retain, manage build a productive team of Off Roll employees Maintain delinquency on the portfolio, in line with the Product Segment. Take Care of customer Escalations and Complaint Monitor measure key conversion, productivity data penetration metrics Effectively engage with Credit, Operations Risk teams. Required Qualifications and Experience Graduates with relevant experience of 2-3 prior work experience of Direct or Channel sales in loans. Experience in Insurance will be an added advantage. Excellent Team Handling and problem resolving ability. Ability to Recruit FOS through different channels. Good hands on experience and knowhow for working on Data Management and MS Office. A good team leader to handle the team and achieve the set target. Exceptionally high motivational levels and needs to be a self starter.

Job Title - S&C Global Network - AI - CMT - Consultant Data Science Management Level: 9-Team Lead/Consultant Location: Hyderabad, HDC2A Must-have skills: CMT Analytics Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. Responsibilities/Authorities A Telco domain experienced and data science consultant is responsible to help the clients with designing & delivering AI solutions. He/she should be strong in Telco domain, AI fundamentals and should have good hands-on experience working with the following: Ability to work with large data sets and present conclusions to key stakeholders; Data management using SQL. Propose solutions to the client based on gap analysis for the existing Telco platforms that can generate long term & sustainable value to the client. Gather business requirements from client stakeholders via interactions like interviews and workshops with all stakeholders Track down and read all previous information on the problem or issue in question. Explore obvious and known avenues thoroughly. Ask a series of probing questions to get to the root of a problem. Ability to understand the as-is process; understand issues with the processes which can be resolved either through Data & AI or process solutions and design detail level to-be state Understand customer needs and identify/translate them to business requirements (business requirement definition), business process flows and functional requirements and be able to inform the best approach to the problem. Adopt a clear and systematic approach to complex issues (i.e. A leads to B leads to C). Analyze relationships between several parts of a problem or situation. Anticipate obstacles and identify a critical path for a project. Independently able to deliver products and services that empower clients to implement effective solutions. Makes specific changes and improvements to processes or own work to achieve more. Work with other team members and make deliberate efforts to keep others up to date. Establish a consistent and collaborative presence with clients and act as the primary point of contact for assigned clients; escalate, track, and solve client issues. Partner with clients to understand end clients business goals, marketing objectives, and competitive constraints. Storytelling Crunch the data & numbers to craft a story to be presented to senior client stakeholders. Should be able to travel or relocate to Japan as per business requirement. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Demonstrated experience in solving real-world data problems through Data & AI Direct onsite experience (i.e., experience of facing client inside client offices in India or abroad) is mandatory. Please note we are looking for client facing roles. Proficiency with data mining, mathematics, and statistical analysis Advanced pattern recognition and predictive modeling experience; knowledge of Advanced analytical fields in text mining, Image recognition, video analytics, IoT etc. Execution level understanding of econometric/statistical modeling packages Traditional techniques like Linear/logistic regression, multivariate statistical analysis, time series techniques, fixed/Random effect modelling. Machine learning techniques like - Random Forest, Gradient Boosting, XG boost, decision trees, clustering etc. Knowledge of Deep learning modeling techniques like RNN, CNN etc. Experience using digital & statistical modeling software (one or more) Python, R, PySpark, SQL, BigQuery, Vertex AI Proficient in Excel, MS word, Power point, and corporate soft skills Knowledge of Dashboard creation platforms Excel, tableau, Power BI etc. Excellent written and oral communication skills with ability to clearly communicate ideas and results to non-technical stakeholders. Strong analytical, problem-solving skills and good communication skills Self-Starter with ability to work independently across multiple projects and set priorities Strong team player Proactive and solution oriented, able to guide junior team members. Execution knowledge of optimization techniques is a good-to-have Exact optimization Linear, Non-linear optimization techniques Evolutionary optimization Both population and search-based algorithms Cloud platform Certification, experience in Computer Vision are good-to-haves Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 8-10Years Educational Qualification: Any Degree

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Data Scientist Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships, and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Our Team: As consumer preference for digital payments continues to grow, ensuring a seamless and secure consumer experience is top of mind. Optimization Soltions team focuses on tracking of digital performance across all products and regions, understanding the factors influencing performance and the broader industry landscape. This includes delivering data-driven insights and business recommendations, engaging directly with key external stakeholders on implementing optimization solutions (new and existing), and partnering across the organization to drive alignment and ensure action is taken. Are you excited about Data Assets and the value they bring to an organization? Are you an evangelist for data-driven decision-making? Are you motivated to be part of a team that builds large-scale Analytical Capabilities supporting end users across 6 continents? Do you want to be the go-to resource for data science & analytics in the company? The Role: Work closely with global optimization solutions team to architect, develop, and maintain advanced reporting and data visualization capabilities on large volumes of data to support data insights and analytical needs across products, markets, and services The candidate for this position will focus on Building solutions using Machine Learning and creating actionable insights to support product optimization and sales enablement. Prototype new algorithms, experiment, evaluate and deliver actionable insights. Drive the evolution of products with an impact focused on data science and engineering. Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models. Perform data ingestion, aggregation, and processing on high volume and high dimensionality data to drive and enable data unification and produce relevant insights. Continuously innovate and determine new approaches, tools, techniques & technologies to solve business problems and generate business insights & recommendations. Apply knowledge of metrics, measurements, and benchmarking to complex and demanding solutions. All about You A superior academic record at a leading university in Computer Science, Data Science, Technology, mathematics, statistics, or a related field or equivalent work experience Experience in data management, data mining, data analytics, data reporting, data product development and quantitative analysis Strong analytical skills with track record of translating data into compelling insights Prior experience working in a product development role. knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture. proficiency in using Python/Spark, Hadoop platforms & tools (Hive, Impala, Airflow, NiFi), and SQL to build Big Data products & platforms Experience with Enterprise Business Intelligence Platform/Data platform i.e. Tableau, PowerBI is a plus. Demonstrated success interacting with stakeholders to understand technical needs and ensuring analyses and solutions meet their needs effectively. Ability to build a strong narrative on the business value of products and actively participate in sales enablement efforts. Able to work in a fast-paced, deadline-driven environment as part of a team and as an individual contributor. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard s guidelines.

Dalmia Bharat Group is looking for Mining Engineer to join our dynamic team and embark on a rewarding career journey Geological Analysis: Conduct detailed geological surveys and assessments to identify potential mineral and resource deposits Use various tools and technologies to analyze geological data and determine the quantity and quality of minerals present in a given location Feasibility Studies: Perform feasibility studies to evaluate the economic viability and environmental impact of mining projects This includes considering factors such as market demand, production costs, regulatory requirements, and sustainability Mine Planning and Design: Develop mine plans and designs that maximize resource recovery while ensuring safety, efficiency, and environmental responsibility This involves determining the best mining methods, equipment, and infrastructure required for the project Safety and Environmental Compliance: Ensure mining operations adhere to safety regulations and environmental guidelines Implement measures to minimize environmental impacts and promote sustainable mining practices Project Management: Oversee the implementation of mining projects, including coordinating with various stakeholders, managing budgets, and scheduling activities to meet production targets Equipment Selection and Maintenance: Recommend appropriate mining equipment and machinery for different mining operations Supervise equipment maintenance and ensure proper functioning to optimize productivity and prevent breakdowns Risk Assessment and Mitigation: Identify potential risks associated with mining activities and develop strategies to mitigate them This includes safety hazards, environmental risks, and potential geological challenges Monitoring and Reporting: Regularly monitor mining operations, production rates, and environmental compliance Prepare reports and present data to management and regulatory bodies as required Research and Innovation: Stay updated on the latest mining technologies, practices, and industry trends Introduce innovative solutions to improve mining processes and optimize resource recovery Community Engagement: Engage with local communities and stakeholders to address concerns and foster positive relationships Implement social responsibility initiatives to support local development and sustainability Legal and Regulatory Compliance: Ensure mining operations comply with all applicable laws, regulations, and permits Work with regulatory authorities to obtain necessary licenses and approvals for mining activities Health and Safety: Prioritize the health and safety of mining personnel by implementing safety protocols, conducting training programs, and promoting a safety-oriented culture

As a Senior Data Engineer, your role is to spearhead the data engineering teams and elevate the team to the next level! You will be responsible for laying out the architecture of the new project as well as selecting the tech stack associated with it. You will plan out the development cycles deploying AGILE if possible and create the foundations for good data stewardship with our new data products! You will also set up a solid code framework that needs to be built to purpose yet have enough flexibility to adapt to new business use cases tough but rewarding challenge! Responsibilities Collaborate with several stakeholders to deeply understand the needs of data practitioners to deliver at scale Lead Data Engineers to define, build and maintain Data Platform Work on building Data Lake in Azure Fabric processing data from multiple sources Migrating existing data store from Azure Synapse to Azure Fabric Implement data governance and access control Drive development effort End-to-End for on-time delivery of high-quality solutions that conform to requirements, conform to the architectural vision, and comply with all applicable standards. Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner. Further develop critical initiatives, such as Data Discovery, Data Lineage and Data Quality Leading team and Mentor junior resources Help your team members grow in their role and achieve their career aspirations Build data systems, pipelines, analytical tools and programs Conduct complex data analysis and report on results 5+ Years of Experience as a data engineer or similar role in Azure Synapses, ADF or relevant exp in Azure Fabric Degree in Computer Science, Data Science, Mathematics, IT, or similar field Must have experience e

As a Lead Data Engineer, your role is to spearhead the data engineering teams and elevate the team to the next level! You will be responsible for laying out the architecture of the new project as well as selecting the tech stack associated with it. You will plan out the development cycles deploying AGILE if possible and create the foundations for good data stewardship with our new data products! You will also set up a solid code framework that needs to be built to purpose yet have enough flexibility to adapt to new business use cases tough but rewarding challenge! Responsibilities Collaborate with several stakeholders to deeply understand the needs of data practitioners to deliver at scale Lead Data Engineers to define, build and maintain Data Platform Work on building Data Lake in Azure Fabric processing data from multiple sources Migrating existing data store from Azure Synapse to Azure Fabric Implement data governance and access control Drive development effort End-to-End for on-time delivery of high-quality solutions that conform to requirements, conform to the architectural vision, and comply with all applicable standards. Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner. Further develop critical initiatives, such as Data Discovery, Data Lineage and Data Quality Leading team and Mentor junior resources Help your team members grow in their role and achieve their career aspirations Build data systems, pipelines, analytical tools and programs Conduct complex data analysis and report on results 7+ Years of Experience as a data engineer or similar role in Azure Synapses, ADF or relevant exp in Azure Fabric Degree in Computer Science, Data Science, Mathematics, IT, or similar field Must have experience e

Job Title Data Analyst Job Description Summary This role focuses on developing advanced analytics systems, uncovering growth opportunities through data analysis, and creating insightful reports and visualizations. It will involve close collaboration with managers to understand business needs, define KPIs, and deliver actionable insights that enhance performance and efficiency. Key responsibilities include data mining, predictive modeling, system evaluation, and maintaining robust data infrastructure to support strategic decision-making. Work closely with the Program manager (s) and department heads to understand and maintain focus on their analytics needs, including critical metrics and KPIs, and deliver actionable insights to relevant decision-makers Proactively analyze data to answer key questions for stakeholders or yourself, with an eye on what drives business performance, and investigate and communicate which areas need improvement in efficiency and productivity Create and maintain rich insights to facilitate cross sell and upsell decisions through deep data mining Define and implement data acquisition and integration logic, selecting an appropriate combination of methods and tools within the defined technology stack to ensure optimal scalability and performance of the solution Develop and maintain databases by acquiring data from primary and secondary sources Providing technical expertise in data storage structures, data mining, and data cleansing. Build predictive analysis and churn analysis to impact revenue enhancement and retention INCO: Cushman & Wakefield

Associate, Product Operations, NPS Prism Title: Associate, Product Operations Company Profile: NPS Prism is a market-leading, cloud-based CX benchmarking and operational improvement platform owned by Bain & Company. NPS Prism provides its customers with actionable insights and analysis that guide the creation of game-changing customer experiences. Based on rock-solid sampling, research, and analytic methodology, it lets customers see how they compare to their competitors on overall NPS , and on every step of the customer journey. Launched in 2019, NPS Prism has rapidly grown to a team of over 200, serving dozens of clients around the world. While NPS Prism is its own company, NPS Prism is 100% owned by Bain & Company, one of the top management consulting firms in the world and a company consistently recognized as one of the world s best places to work. We believe that diversity, inclusion, and collaboration are key to building extraordinary teams. We hire people with exceptional talents, abilities, and potential, then create an environment where you can become the best version of yourself and thrive professionally and personally. Position Summary: NPS Prism has experienced tremendous growth as a standalone software and data business over the past few years and is making the leap from being a consulting-led business to a technology-led business. Given that shift, we are looking to build our team with world-class team members to help drive business growth to its full potential in this next phase. This is a great opportunity to help build the largest startup owned by Bain & Company and take NPS Prism into the future. Key Responsibilities: Independently owns the workstreams assigned to the individual and develops client ready visualization dashboards using tools like Tableau with minimum guidance Works with multiple stakeholders, across instruments and workstreams to provide expertise in data management Provides structured support to junior team members, including helping them understand tools, logic flows, and standard work practices. Builds reusable capabilities and templates that improve team efficiency and scalability, ensuring that they are well documented and across service lines Analyze the data using tools like SQL, Alteryx, and Databricks. Design and execute new benchmarking survey instruments, including assessing data needs and designing the primary research surveys and sample specification Respond to onshore team/client questions around the data and insights Translates complex technical concepts such as screener logics, dashboard workflows, and research methodologies into clear explanations for internal teams and client facing discussions Provide ongoing support for subscription customers, such as additional data cuts and responding to questions about the data/methodology with precision and speed Support commercialization efforts, including conducting data-driven analysis for proposals, building custom outputs, and conducting product demos with prospective clients Required Qualifications, Experience & Skills: Education: Required: Graduate/post graduate from top-tier institute or have pursued a statistical/analytical course from a tier 1 university Preferred: Concentration in a quantitative discipline such as Statistics, Mathematics, Engineering, Computer Science, Econometrics, Business Analytics, or Market Research. Experience 2+ years of experience in areas related to Data Management, Business Intelligence or Business Analytics. Hands-on experience in managing end-to-end customer surveys, data analysis and visualizations Technical Skills Extensive hands-on experience with Tableau, with strong command of dashboard design, interactivity, and performance optimization Proven experience using Alteryx for data prep, transformation, and validation at scale. Proficient in applying statistical and data mining techniques to derive meaningful insights from customer feedback and survey data. Comfort with SQL and Python (preferred), especially for data manipulation, automation, or analytics tasks Other Skills: Proactive problem-solver with a strong sense of ownership and attention to detail. Experience mentoring junior team members and contributing to collaborative team culture Excellent interpersonal, written, and verbal communication skills Comfort working in a hybrid or remote environment with distributed teams. Demonstrates resilience and adaptability in navigating change and feedback. Consistently seeks feedback and iterates to improve performance and team outcomes.