213 Data Collection Jobs in Pune

We are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights. ResponsibilitiesIdentify valuable data sources and automate collection processesUndertake preprocessing of structured and unstructured dataAnalyze large amounts of information to discover trends and patternsBuild predictive models and machine-learning algorithmsCombine models through ensemble modelingPresent information using data visualization techniquesPropose solutions and strategies to business challengesCollaborate with engineering and product development teams Other DetailsSalary-41,000/- to 75,000/-Required Experience-0 To 4 YearsMinimum Age-18 RequirementsQualification Required-BCA,MCA,BBA.MBA,PHD,PGDM,All GraduateBachelors degree (or equivalent) in statistics, applied mathematics, or related disciplineWork Department-Data ScientistWork Industry-IT,Automation,Banking,Finance,Education,Telecom,Skills-Proficiency with data mining, mathematics, and statistical analysisfor more clarification contact to this number-7428595632 Also Share Your CV -renuka.mns53@gmail.com RegardsHR Placement Team

Role Overview: Are you interested in pursuing your career in Asset Management and working in a data-driven business environment As a Data and Business Process Analyst at UBS, your role will involve collaborating with a cross-functional team to identify inefficiencies, analyze existing workflows, and simplify processes to enhance operational efficiency, ensure compliance, and drive performance improvement. You will have the opportunity to leverage data analysis tools, process modeling, and problem-solving skills to redesign processes, implement changes aligned with business goals, and drive automation initiatives across various operation functions. Key Responsibilities: - Act as a data and business process analyst to identify inefficiencies and analyze existing workflows for simplification within operations - Utilize data analysis tools, process modeling, and problem-solving skills to identify bottlenecks, redesign processes, and implement changes aligned with business goals - Collaborate with different teams to understand their needs, identify areas for automation, and design the target operating model for transforming data and operations landscape - Leverage data analytics to identify patterns, trends, and anomalies in data, providing insights for business decisions and improving data quality - Contribute to the growth of AM Operations by researching AI/automation tools to enhance operational efficiency - Perform data collection and analysis, process mapping, requirements gathering, stakeholder management, process implementation, and change management activities Qualifications Required: - Minimum of 8 years of hands-on experience in data and business analysis with a focus on operation process optimization, preferably within the financial industry, especially Asset Management - Proficiency with SQL and automation/analytics tools for data extraction, analysis, and reporting - Strong ability in data and process modeling, working with complex datasets, and supporting decision-making and data architecture design - Analytical and problem-solving skills with the capacity to interpret and leverage data and AI capabilities for process improvements - Detail-oriented, solution-focused, with excellent communication skills, proactive approach, and understanding of Agile software methodology and modern CI/CD practices - Visionary mindset with a passion for innovation, cutting-edge technologies, and driving the adoption of AI and GenAI in the data and operations space About the Company: UBS is the world's largest and only truly global wealth manager with operations in four business divisions, including Global Wealth Management, Personal & Corporate Banking, Asset Management, and the Investment Bank. With a presence in major financial centers across more than 50 countries, UBS stands out for its global reach and expertise. At UBS, people are valued for their diverse skills, experiences, and backgrounds, driving ongoing success through a supportive team, growth opportunities, and flexible working options. The inclusive culture at UBS fosters collaboration and innovation, leveraging artificial intelligence (AI) to work smarter and more efficiently. (Note: The "Disclaimer / Policy Statements" section has been omitted from the Job Description as it does not directly relate to the job role.),

As a Machine Learning Engineer at our company, your primary focus will be applying Natural Language Processing (NLP) AI techniques, conducting machine learning tasks, and developing high-quality prediction systems for data classification. You will also be responsible for presenting information through data visualization techniques and undertaking data collection, preprocessing, and harmonization. **Roles and Responsibilities:** - Develop applications in machine learning and artificial intelligence - Select features, build, and optimize classifiers using machine learning techniques - Understand business objectives and develop models to achieve them, along with tracking progress metrics - Manage available resources like hardware, data, and personnel to meet deadlines - Analyze ML algorithms for solving problems and rank them based on success probability - Explore and visualize data to gain insights, identify differences in data distribution that may impact model performance in real-world deployment - Verify data quality through data cleaning and supervise data acquisition process if necessary - Find and utilize available datasets for training - Define validation strategies, pre-processing, and feature engineering for datasets - Define data augmentation pipelines - Train models, tune hyperparameters, analyze model errors, and design strategies to overcome them - Deploy models to production **Desired Candidate Profile:** - Sound understanding of ML and DL algorithms - Architecture-level understanding of CNN and RNN algorithms - Experience with NLP data models and libraries - Good understanding of entity extraction using NLP - Hands-on experience with TensorFlow, scikit-learn, spaCy libraries, etc. - Knowledge of transfer learning - Strong scripting and programming skills in Python and Streamlight - Experience with data science toolkits such as Python, NumPy, Transformers, Fast.AI, etc. - Excellent understanding of machine learning techniques and algorithms like k-NN, Naive Bayes, SVM, Decision Forests, etc. - Proficiency in using query languages - Strong applied statistics skills including distributions, statistical testing, regression, etc. - Data-oriented personality with experience in Data Wrangling and Data Exploration - Experience with Tableau and DataPrep is a plus If you are an immediate joiner with the required expertise, there is no bar on salary for the right candidate.,

Role Overview: You are being sought by Deutsche India to join their team as a Senior Data Scientist. The team's focus is on revolutionizing the Private Bank process landscape through automation and AI innovation. Your role will involve working on data science projects from problem definition to model deployment and performance monitoring. You will collaborate with cross-functional teams to identify opportunities for data-driven and AI-powered solutions and effectively communicate complex findings to various stakeholders. Key Responsibilities: - Define and frame complex business problems into actionable data science questions, exploring opportunities for Generative AI, LLMs, and Agentic AI. - Identify and evaluate relevant data sources for addressing business and AI problems. - Oversee data collection, cleaning, and preprocessing to ensure data quality for ML and Generative AI applications. - Apply statistical understanding to analyze and interpret data, conducting exploratory data analysis to identify trends and hypotheses. - Drive research and implementation of ML algorithms and Generative AI models, emphasizing Transformer architectures and LLMs. - Design and execute experiments to measure the impact of data-driven and Generative AI solutions on business outcomes. - Communicate analytical findings and recommendations to diverse audiences, collaborate with engineering teams for model deployment and maintenance. - Continuously research new data science techniques and Generative AI models, contribute to knowledge sharing within the company. Qualifications Required: - Graduates, Masters, or PhD in Computer Science, Statistics, Mathematics, Engineering, or related fields. - 8+ years of experience in a data scientist role, with expertise in programming (Python, R, SQL), data analysis, statistical concepts, ML algorithms, and Generative AI. - Strong knowledge in Generative AI, LLMs, Transformer architectures, MLOps practices, database querying, data visualization, and cloud platforms. - Leadership qualities including excellent communication skills, analytical abilities, work ethic, and adaptability. - Preferred experience in Banking & Finance Domain with domain-specific expertise. Company Details: Deutsche Bank is committed to empowering its employees to excel together every day, acting responsibly, thinking commercially, taking initiative, and working collaboratively. They strive for a positive, fair, and inclusive work environment where successes are shared and celebrated. For further information about Deutsche Bank, please visit their company website: [Deutsche Bank Company Website](https://www.db.com/company/company.html),

As a Data Engineer at the company, you will be responsible for designing, implementing, and maintaining the data infrastructure and pipelines necessary for AI/ML model training and deployment. Working closely with data scientists and engineers, you will ensure that data is clean, accessible, and efficiently processed. Key Responsibilities: - Build and maintain scalable data pipelines for data collection, processing, and analysis. - Ensure data quality and consistency for training and testing AI models. - Collaborate with data scientists and AI engineers to provide the required data for model development. - Optimize data storage and retrieval to support AI-driven applications. - Implement data governance practices to ensure compliance and security. Qualifications Required: - 6-8 years of experience in data engineering, preferably in financial services. - Strong proficiency in SQL, Python, and big data technologies (e.g., Hadoop, Spark). - Experience with cloud platforms (e.g., AWS, Azure, GCP) and data warehousing solutions. - Familiarity with ETL processes and tools, as well as knowledge of data governance, security, and compliance best practices. At GlobalLogic, you will experience a culture of caring where people come first. You will be part of an inclusive culture of acceptance and belonging, building meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. The company is committed to your continuous learning and development, offering opportunities to try new things, sharpen your skills, and advance your career. You will work on projects that matter, engage your curiosity and problem-solving skills, and contribute to cutting-edge solutions shaping the world today. GlobalLogic supports balance and flexibility in work and life, providing various career areas, roles, and work arrangements. Joining GlobalLogic means being part of a high-trust organization where integrity is key, and trust is fundamental to relationships with employees and clients.,

As an Associate Data Scientist at V4C.ai within the Astros division, you will be an integral part of our dynamic team, contributing to projects that push the boundaries of innovation and data analysis in the Astros domain. **Key Responsibilities:** - Support the collection, cleaning, and preprocessing of data to build robust datasets for analysis - Assist in the development and implementation of machine learning models and algorithms - Engage in exploratory data analysis to identify patterns and insights relevant to Astros projects - Collaborate with team members on various data science projects, contributing your fresh perspective and ideas - Participate in training sessions and workshops to further enhance your technical knowledge and skills - Provide support in documenting findings and presenting them to the team **Requirements:** - Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or a related field - Knowledge of programming languages, particularly Python or R, is essential - Familiarity with data manipulation libraries such as Pandas and NumPy - Basic understanding of machine learning principles and practices - Possess strong analytical skills with a focus on detail and accuracy - A proactive attitude towards learning and professional development - Good communication skills and the eagerness to collaborate within a team environment - Willingness to work from our Pune office for hands-on training and experience If you join us, you will receive benefits such as Private Health Insurance, Paid Time Off, Work From Home option after 3 to 6 months of training in the Pune office, and access to Training & Development opportunities.,

As a QA Specialist in the Data & Analytics team at Aumni Techworks, your role will be crucial in ensuring the accuracy and reliability of our data and analytics deliverables. You will collaborate with the analytics team to develop and execute comprehensive QA processes, validate data pipelines, and automate recurring QA processes. Your attention to detail and passion for data quality will be key to maintaining the highest standards in our analytics outputs. **Key Responsibilities:** - Develop and execute comprehensive QA processes for data and analytics deliverables. - Validate the entire data pipeline, including data sources, ETL processes, extracts, calculations, visualizations, and application interfaces. - Perform functional, regression, performance, and tolerance-range testing across reports and data systems. - Simulate end-user journeys to ensure a seamless user experience with analytics outputs. - Validate application tracking functionality (data collection through application usage). - Validate calculations and metrics in Tableau, Power BI, and other BI tools. - Conduct database validations using SQL (Oracle, Big Query) and NoSQL (MongoDB) systems. - Automate recurring QA processes in the analytics/BI environment when feasible. - Identify and document data quality issues and discrepancies. - Collaborate with cross-functional teams, including data engineers, BI developers, and product managers, to ensure analytics quality. **Qualifications Required:** - 3+ years of experience in QA, data validation, or analytics testing. - Hands-on experience in BI tools environment testing. - Proficiency in SQL (Advantage: experience with Oracle and Big Query databases). - Experience with NoSQL databases (Advantage: MongoDB). - Familiarity with regression testing and simulating user interactions with BI tools. **Nice-to-Have Qualifications:** - Advantage: Familiarity with scripting languages like R or Python. - Advantage: Experience in automation testing within analytics or BI environments. - Advantage: Experience in Databricks environment. At Aumni Techworks, established in 2016, we are a Software Services Company that partners with Product companies to build and manage their dedicated teams in India. We do not take projects but have long-term contracts with clients, fostering multi-year relationships. Our culture values quality work and believes in the talent of the Indian workforce, offering various benefits including medical insurance, life and disability insurance, leaves, on-site recreational activities, hybrid work culture, fitness groups, and social events. Join Aumni Techworks to be part of a dynamic team that values quality work and long-term relationships with clients, while enjoying a range of benefits and a supportive company culture.,

Role Overview: As a Senior Data Scientist at Deutsche India, you will be a key member of the Service Solutions and AI Domain team, dedicated to revolutionizing the Private Bank process landscape through the implementation of data-driven and AI-powered solutions. Your role will involve strategic problem framing, data management, algorithm development, experimentation, effective communication, continuous innovation, and knowledge sharing. You will collaborate with cross-functional teams to identify transformative opportunities for Generative AI, LLMs, and Agentic AI applications, and play a pivotal role in driving innovation, optimizing operations, and delivering exceptional value to customers. Key Responsibilities: - Define and frame complex business problems into actionable data science questions, exploring opportunities for Generative AI, LLMs, and Agentic AI - Identify and evaluate relevant data sources to address business and AI problems - Oversee data collection, cleaning, and preprocessing for traditional ML and Generative AI applications - Apply statistical understanding and conduct exploratory data analysis to interpret data and formulate hypotheses - Drive research, implementation, and evaluation of ML algorithms and Generative AI models, emphasizing Transformer-based architectures and LLMs - Design and execute experiments to measure the impact of data-driven and Generative AI solutions on business outcomes - Communicate analytical findings and recommendations to diverse audiences, collaborate with engineering teams for model deployment and monitoring - Continuously research new data science techniques, Generative AI models, and technologies to enhance organizational capabilities - Contribute to the data science and AI community within the company by sharing knowledge and mentoring junior team members Qualifications Required: - Graduates, Masters, or PhD in Computer Science, Statistics, Mathematics, Engineering, or related field - 8+ years of experience in a data scientist role with expertise in data understanding, statistical analysis, ML algorithms, and Generative AI - Proficiency in programming languages such as Python, R, SQL, etc. - Hands-on experience with statistical concepts, machine learning algorithms, and Generative AI models - Familiarity with MLOps practices, cloud platforms, big data technologies, and deep learning frameworks - Excellent communication, problem-solving, and leadership skills - Preferred experience in the Banking & Finance Domain Please note that the qualifications required mentioned above are just a summary and may not include all the criteria defined in the job description.,

As a Tableau Data Visualization Lead, you will be responsible for designing, developing, and maintaining interactive dashboards and visual analytics solutions that drive business insights and decision-making. **Job Responsibilities:** - Understanding and performing analysis of source systems data. - Estimation and delivery of adhoc and new Tableau MIS. - Designing and developing advanced & visually compelling Tableau dashboards and visualizations tailored to business needs in the Lending domain. Delivering in data visualization best practices, Tableau BI functionalities, and data storytelling. - Collaborating with business stakeholders to gather requirements and translate them into effective data visualizations. - Optimizing Tableau workbooks for performance and scalability. - Integrating and processing large datasets using Databricks (Spark-based platform). - Building and maintaining data transformation notebooks in Databricks to support reporting and analytics. - Ensuring data quality, consistency, and governance across all visualizations. - Working closely with data engineers, analysts, and business teams to deliver end-to-end BI solutions. - Providing technical leadership and mentorship to junior team members. - Staying updated on industry trends, optimizing performance, and ensuring the usability and scalability of Tableau solutions. - Proactively monitoring, data reconciliation, testing, proper documentation, and troubleshooting of MIS issues. - Ensuring developments follow standard coding patterns and are fully documented for audit submissions. - Ensuring compliance with data governance and data security/masking standards for data delivery. **Competencies for the job:** - Proven experience with Advanced SQL and data transformation for Visualization purposes. - Experience in SQL Query Development (T-SQL or Spark SQL). - 6 to 10 years of experience in data visualization and BI development. - Expert-level proficiency in Tableau including calculated fields, parameters, LOD expressions, Dashboard actions, etc. - 1 to 2 years of hands-on experience in Databricks including notebooks, Delta Lake, Spark SQL, and Python/Scala. - Strong SQL skills and experience working with relational databases. - Experience in the Lending domain with an understanding of loan lifecycle, credit risk, collections, and regulatory reporting. - Familiarity with data modeling, data warehousing concepts, and performance tuning. - Excellent communication and stakeholder management skills. - Experience in advance analytics data modeling and visualization scenarios. **Desired Experience:** - Bachelors or Masters degree in Computer Science, Information Systems, or related field. - Tableau certification is a plus. - Experience with cloud platforms (Azure, AWS, or GCP) is desirable. - Knowledge of Agile methodologies and tools like JIRA. - 5+ years of hands-on experience in Tableau Data Visualization and Data Modeling. - Excellent communication skills in written and verbal English. - Knowledge of core functions of a large NBFC/Bank including Sales, Credit, Collections, Finance, and Accounts.,

As a Collections Specialist in the Finance & Accounting Collections Department, you will play a vital role in improving operational and collection efficiency within the Order to Cash domain. Your responsibilities will include: - Monitoring customer accounts to identify outstanding debts. - Investigating historical data for each customer account to address past due invoices. - Updating customer account status records. - Preparing and presenting reports on collection activities and progress. - Handling customer queries and resolving billing and customer credit issues. - Identifying and executing necessary invoice adjustments. - Devising innovative solutions to enhance collection rates. - Contributing effective ideas to automate manual processes and collaborating with key stakeholders to implement solutions. - Setting up calls with onshore teams for process updates, resolving customer queries, and addressing other issues. - Assisting with operational activities such as report preparation and data submissions. Qualifications required for this role include: - A degree in accounting or business administration with a focus on finance. - 4+ years of experience in Collections and Order to Cash Process. - Experience working with International/US customers. - Proficiency in dealing with financial and numeric data. - Exposure to tools like Salesforce, NetSuite, and similar ERP systems. - Expertise in MS Office, particularly Advanced Excel. Additionally, you must be open to working in shifts, specifically from 5:00 pm to 2:00 am (US Shift), subject to change based on process requirements.,

As a Data Research Intern at GrowthPal, you will have the exciting opportunity to work closely with our business development and investment banking team to gather and analyze data to drive business growth. Your expertise in market research will play a key role in decision-making processes. Key Responsibilities: - Conduct in-depth market research to identify leads. - Analyze data and provide to the team according to the mandate. - Collaborate with cross-functional teams. - Assist in creating reports and presentations to communicate findings. - Support in managing databases and data collection processes. - Contribute ideas for improving data analysis process in business development and marketing. Qualifications Required: - Passion for data research. - Ability to work in a fast-paced startup environment. - Strong analytical skills. - Excellent communication and collaboration skills.,

As a Data Scientist, you'll play a crucial role in supporting data-driven projects, performing routine data analysis tasks, and assisting with model development and testing. Your role involves contributing to various stages of the data science lifecycle and providing insights that help shape business strategies. This position is suited for those with a foundational understanding of data science and are eager to deepen their expertise. Responsibilities: - Contribute to more advanced data collection and preprocessing efforts. - Assist in developing and testing machine learning models. - Perform descriptive data analysis and provide preliminary insights. - Create visualizations and reports to support data findings. - Manage and maintain data repositories efficiently. - Support senior data scientists in feature creation and selection. - Participate in collaborative projects with cross-functional teams. - Help automate data processing tasks using scripts. - Contribute to model validation and performance testing. - Stay informed about emerging data science tools and methodologies. Skills: - Advanced Data Cleaning: Enhanced preprocessing and data wrangling techniques. - Intermediate Python: Proficiency in Python for data science tasks. - SQL: More advanced SQL querying skills. - Data Visualization: Ability to create meaningful visualizations using tools like Tableau or Matplotlib. - Machine Learning Basics: Understanding of basic machine learning concepts and algorithms. - Statistical Analysis: Intermediate statistical methods and their applications. - Communication: Articulating data insights clearly to non-technical stakeholders. - Problem-Solving: Effective in identifying data-related issues and providing solutions. Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.,

We are seeking an experienced Data Manager to lead the development and utilization of data systems. In this role, you will be responsible for identifying efficient methods to organize, store, and analyze data while maintaining strict security and confidentiality measures. An exceptional Data Manager comprehends the intricacies of data management and possesses a deep understanding of databases and data analysis procedures. You should also possess strong technical acumen and exceptional troubleshooting abilities. Your primary objective will be to ensure the seamless and secure flow of information within and outside the organization, guaranteeing timely access and delivery of data. By implementing effective data management practices, you will contribute to the overall success of our organization. Join our team and be a key driver in optimizing our data systems, unlocking valuable insights, and supporting data-driven decision-making processes. Create and enforce policies for effective data managementFormulate techniques for quality data collection to ensure adequacy, accuracy and legitimacy of dataDevise and implement efficient and secure procedures for data handling and analysis with attention to all technical aspectsEstablish rules and procedures for data sharing with upper management, external stakeholders etc.Support others in the daily use of data systems and ensure adherence to legal and company standardsAssist with reports and data extraction when neededMonitor and analyze information and data systems and evaluate their performance to discover ways of enhancing them (new technologies, upgrades etc.)Ensure digital databases and archives are protected from security breaches and data losses Proven experience as data managerExcellent understanding of data administration and management functions (collection, analysis, distribution etc.)Familiarity with modern database and information system technologiesProficient in MS Office (Excel, Access, Word etc.)An analytical mindset with problem-solving skillsExcellent communication and collaboration skillsBSc/BA in computer science or relevant field

You will be joining Data Axle India as an Accounts Receivable Specialist, where you will play a crucial role in managing collection calls, resolving disputes, issuing credits, reconciling accounts, posting cash receipts, and handling various ad hoc projects within the accounting department. Your key responsibilities will include: - Making collection calls on past due accounts. - Working with customers to resolve disputed items. - Issuing appropriate credits and posting accurately. - Reviewing and reconciling accounts, and re-billing if necessary. - Posting daily cash receipts. - Researching negative balance accounts. - Reviewing tax-exempt certificates and coding them into the master file. - Escalating any accounts that are more than 75 days delinquent. - Preparing and distributing reports. - Being available at work on a regular and predictable basis or as scheduled. - Handling ad hoc projects within the accounting department. To qualify for this role, you should have: - 2-4 years of relevant work experience. - A Bachelor's degree. - Strong communication skills with individuals at all levels and external contacts. - Excellent organizational skills and attention to detail. - Experience in managing high volume email communications. - Ability to anticipate and react quickly in a dynamic business environment. - Team player mentality with the ability to multitask and meet strict deadlines. - Proficiency in Microsoft Excel and Outlook at an advanced level. - Experience with Oracle EBS.,

Role Overview: As the Data Quality and Control Product Manager, you will play a crucial role in driving the product vision, capability roadmap, and value for the ICRM Data Programme. Your main responsibilities will include collaborating with client stakeholders in ICRM to develop the rationale behind the surveillance product, advocating for delivering value to the ICRM Data Program, and making strategic decisions for the final product to empower Product Owners and Engineering Teams. Key Responsibilities: - Drive the product inception process for new products, services, and upgrades by preparing the business case feasibility study, collaborating with key stakeholders, developing the communication strategy, and detailing the product offerings - Own the product/value stream vision to drive strategic outcomes for the Agile Release Train and Scrum Teams - Lead the product functional design process and create the product roadmap based on an understanding of users and technology - Create enhancement opportunities by analyzing existing metrics, trends, and performance dashboards for continuous improvement - Work in an agile environment by reviewing business needs, refining priorities, outlining milestones, and identifying opportunities and risks - Collaborate with stakeholders across ICRM and Citi to create features and functionalities that align with business goals - Facilitate Agile Release Train backlog sessions with key stakeholders to define requirements and acceptance criteria - Track and report product performance post-launch to assess future investment - Create feedback loops seeking continuous feedback from stakeholders and incorporate it into the backlog - Participate in Agile Release Train and Scrum events representing the Product Manager vision - Track the delivery of strategic global and regional product programs and conduct annual product assessments Qualifications Required: - Bachelor's degree or equivalent with a customer-centric mindset - 10+ years of experience in an agile culture with 5+ years as a lead Product Owner or Product Manager - Excellent communication, problem-solving, and decision-making skills - Strong analytical skills and a successful track record of product development within deadlines - Expertise with agile tools suites and certifications such as SAFE are desirable (Note: Omitted the section on Any additional details of the company as it was not provided in the Job Description),

As an Enterprise Data Manager at ACA, you will play a crucial role in overseeing the development and utilization of data systems. Your primary focus will be on ensuring efficient organization, storage, and analysis of data while prioritizing security and confidentiality. Your strategic planning and oversight will be instrumental in enhancing operational efficiency and fostering business growth in a data-driven company. Key Responsibilities: - Develop and execute data management strategies that are in line with company objectives. - Supervise the collection, storage, management, quality assurance, and security of data. - Maintain data accuracy, accessibility, and minimize redundancy. - Collaborate with IT teams and management to formulate data strategies that meet industry standards. - Lead and mentor a team of data professionals. - Contribute to the design and development of the core Enterprise Data Services hub. - Engage directly with internal business stakeholders to elicit requirements and ensure alignment on solutions. Qualifications Required: - Bachelor's degree in Computer Science, Data Science, or a related field with a minimum of seven (7) years of experience OR a minimum of ten (10) years of relevant industry experience without a bachelor's degree. - Proficiency in data modeling practices along with a proven track record in building enterprise data solutions. - Experience in designing and implementing reporting and dashboarding solutions. - Familiarity with the Microsoft Azure cloud environment and relevant data technologies like Azure Data Factory, Event Hubs, and Synapse. - Eagerness to explore and adopt new technologies to deliver top-notch solutions. - Strong communication skills for effective discussions on technical matters with business stakeholders. - Hands-on experience in extracting and loading data from diverse APIs, including REST, and utilizing tools like Postman. - Proficiency in writing and executing SQL queries, stored procedures, and functions. - Sound understanding and demonstrated expertise in Azure Data Factory pipelines and the Azure data landscape. - Proficiency in Power BI, developing SSAS cubes (particularly tabular modeling), and knowledge of languages like C#, Python, or other object-oriented programming for creating Azure Functions. - Exposure to AI/ML support for sustainable solutions. (Note: The additional company details were omitted as they were not provided in the JD),

As a Validation Data Analytics at AGCO, you will play a crucial role in creating and maintaining global standards for reliability engineering and assurance. Your responsibilities will include: - Defining global validation data collection and analysis standards - Ensuring machine data is analyzed to support DVP definition in project planning - Establishing an implementation plan for AGCO sites regarding standard & strategy fulfillment - Continuously exploring best practices within AGCO and the industry to improve data collection and analysis - Driving innovation by implementing the latest simulation methods and seeking new methodologies to enhance data analytics To qualify for this role, you should have: - A 4-year degree in Data Analytics, Electronics, Software Engineering, or a related field - Minimum 2+ years of data-analytics experience (5+ years preferred) - Practical knowledge in data analytics toolchains, methods, and processes - Excellent communication and presentation skills for global teams and stakeholders - Experience with digital twins and AI-driven data-analytics tools (preferred) AGCO values diversity, an enterprising spirit, positive impact, and innovative technologies. They offer benefits such as health care and wellness plans, as well as flexible and virtual work options. AGCO is committed to building a diverse workforce that values inclusion and recognizes the contribution of varied experiences, backgrounds, cultures, and perspectives. Join AGCO to be a part of bringing agriculture into the future! Note: This job description may not cover all activities, duties, responsibilities, or benefits and is subject to change at any time. AGCO is an Equal Opportunity Employer.,

As a Business Analytics Analyst in the Fraud Analytics team at Citi, you will play a crucial role in developing and validating fraud detection models to support Citis North American Cards business. Your responsibilities will include: - Partnering closely with Strategy partners and Model Risk Management validators to support the model lifecycle, including validation, ongoing performance evaluation, and annual reviews. - Conducting model development, validation, and testing for fraud detection models, utilizing statistical analysis, data validation, and model performance evaluation techniques. - Performing rigorous validation assessments for fraud model validation, developing and implementing validation methodologies to ensure model accuracy, robustness, and effectiveness. - Ensuring compliance with regulatory requirements and industry best practices in fraud detection and model validation. - Working with large and complex data sets to evaluate, recommend, and support the implementation of business strategies. - Identifying and compiling data sets using tools like Hive and SQL to help predict, improve, and measure the success of key business outcomes. - Documenting data requirements, data collection/processing/cleaning, and exploratory data analysis, potentially utilizing statistical models/algorithms and data visualization techniques. Qualifications required for this role include: - 3+ years of hands-on analytical experience - 2+ years of experience in statistical analysis with working knowledge of statistical software packages like Python (Must), Hive, Spark, SAS - Strong quantitative, analytical, and problem-solving skills, with knowledge of probability theory, statistics, mathematical finance, econometrics, and numerical methods - Understanding of statistical concepts, modeling techniques, and Model Implementation concepts, including traditional and advanced ML algorithms - Proficiency in statistical analysis and model validation techniques, with expertise in model evaluation techniques such as ROC curves, precision-recall, KS, cross-validation, feature importance, SHAP values, etc. - Familiarity with regulatory requirements and guidelines related to risk model validation - Strong communication and interpersonal skills, along with experience in Stakeholder management - Ability to work independently, with a risk and control mindset, and handle large volumes of transactional data Education required: - Masters/Bachelors degree in Statistics, Economics, Finance, Mathematics, or a related quantitative field; Engineering/MBA background from a premier institute If you are a person with a disability and need a reasonable accommodation to use Citis search tools and/or apply for a career opportunity, you can review Accessibility at Citi. Citi values diversity as a key business imperative and strives to foster a culture where the best people want to work, where individuals are promoted based on merit, and where opportunities for development are widely available to all.,

As a Data SME (Collection and Recovery Domain) at Barclays, your role will involve supporting the successful delivery of location strategy projects to plan, budget, agreed quality, and governance standards. You will play a crucial role in driving innovation and excellence in the digital landscape, utilizing cutting-edge technology to revolutionize digital offerings and ensure unparalleled customer experiences. **Key Responsibilities:** - Demonstrate in-depth knowledge of the collection and recovery process of Credit Card, Personal and Business Loan Mortgage, and Current Accounts. - Understand workflows in the Collection and Recovery Process. - Perform reporting (slicing/dicing) of Collection Accounts on various parameters. - Utilize warehousing concepts and Data Modelling effectively. - Write Complex SQL Scripting for Data Profiling. **Qualifications Required:** - Knowledge of Debt Manager Software (CnR) and Tallyman Software. - Familiarity with JIRA Board (Agile way of working), Writing Stories, and Tracking. - Proficiency in Data Modelling Tools like Erwin/ ER Studio. In this role, based out of Pune, your primary purpose will be to implement data quality processes and procedures to ensure reliable and trustworthy data. You will be responsible for extracting actionable insights to improve organizational operations and optimize resources. **Additional Information:** Barclays Pune is the largest campus outside of Barclays global headquarters in London, dedicated to building game-changing technology that supports businesses worldwide. The company fosters a culture of inclusivity and diversity, valuing unique perspectives and experiences to drive success. As an Assistant Vice President within the Data & Analytics domain, you are expected to advise and influence decision-making, contribute to policy development, and ensure operational effectiveness. Collaboration with other functions and business divisions is key, along with leading a team to deliver impactful work that aligns with business objectives. Barclays values of Respect, Integrity, Service, Excellence, and Stewardship guide all colleagues, emphasizing moral compass and behavior in line with the Barclays Mindset of Empower, Challenge, and Drive.,

As an intern at our company, you will have the opportunity to work on various tasks related to data collection, analysis, research support, and industry insights. Your day-to-day responsibilities will include: - Conducting surveys, competitor analysis, and gathering market trends to provide valuable insights. - Assisting in preparing reports, presentations, and summaries of findings to support decision-making processes. - Identifying target audiences, studying customer behavior, and tracking emerging opportunities in the industry. We are one of Pune's leading firms specializing in waterproofing, structural protection, and repair services. Our expertise lies in chemical treatment that does not damage the structure while maintaining an aesthetic appeal. With a focus on advanced techniques and innovative methods, we have built a reputation for perfection and excellence. Our commitment to customer satisfaction is evident through our impressive clients and successful projects in residential, commercial, and industrial sectors. Urbanroof was established in 2018, bringing together years of experience in construction, repair, and maintenance to deliver the best solutions to the construction industry.,