2 Statistical Consulting Jobs nearby Mangalore

A Quality Analyst (QA) is a crucial position within any organization focused on maintaining and improving the quality of products, services, and processes. This role involves diverse duties and responsibilities to ensure that all aspects of production meet or exceed established quality standards. The primary goal of a QA is to identify areas that need to be improved and work towards enhancing the overall quality, ensuring customer satisfaction and compliance with regulatory standards. ResponsibilitiesConduct detailed statistical analysis to identify trends, issues, and areas for improvement in product and process quality.Perform regular quality assurance audits to ensure adherence to established standards and regulatory compliance.Develop and maintain quality standards and procedures in collaboration with cross-functional teams.Analyze test results and produce comprehensive reports detailing findings and recommending actionable improvements.Foster a culture of continuous improvement, identifying inefficiencies and suggesting enhancements to products and processes. Other DetailsSalary-28,000/- to 65,000/-Required Experience-0 To 4 YearsMinimum Age-18 RequirementsQualification Required-BCA,Mca,Bsc.IT,Msc.IT,B.tech,Diploma,IT,ITIA bachelor's degree in computer science, information systems or a related field.Work Department-quality inspection, auditing, and testing.Work Industry-IT,Automation,Banking,Finance,Education,Telecom,Skills-Strong computer skills and knowledge of QA databases and applications.for more clarification contact to this number-  7428595632 Also Share Your CV -2583inst@gmail.com  RegardsHR Placement Team

As an experienced IT professional with over 3 years of experience, you should have the ability to quickly understand data and possess a strong knowledge of ML algorithms including Supervised, Unsupervised, and Deep Learning. It is essential that you have practical experience working with any structured database such as MS SQL, Oracle, etc. Additionally, familiarity with Gen Ai and other Ai tools is required. Your proficiency in Python programming language, Fast API, and backend design is crucial for this role. Moreover, you should be well-versed in Docker, Docker Compose, and version control systems like GitHub or GitLab. Your responsibilities in this role will include: - Working with stakeholders to identify opportunities for leveraging data to drive business solutions. - Mining and analyzing data from databases to drive optimization. - Assessing the effectiveness and accuracy of new data sources and data gathering techniques. - Developing custom data models and algorithms to apply to data sets. - Coordinating with different functional teams to implement models and monitor outcomes. - Developing processes and tools to monitor and analyze model performance and data accuracy. Qualifications required for this position: - Hold a bachelor's degree in Information Technology, Computer Science, Maths and Statistics, or BCA. - Experience working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and techniques.,

Role Overview: As an Analyst Fraud Risk at Visa, you will be a part of the VCA Risk Advisory Practice team, contributing to delivering Risk advisory services to clients across Credit Risk and Fraud Risk. Your role will involve collaborating with internal and external teams to understand business problems, ensuring timely delivery of projects, and developing Fraud Risk data-driven solutions. You will play a key role in optimizing Fraud Risk Managed Services and advisory engagements across Asia Pacific. Key Responsibilities: - Contribute to the delivery of Fraud Risk Managed Services and advisory engagements in Asia Pacific - Collaborate with clients to understand business problems and desired outcomes - Ensure end-to-end delivery of multiple projects within timelines, scope, and budget requirements - Maintain up-to-date project documentation and deliver high-quality results - Support the development of Fraud Risk data-driven solutions such as Fraud Risk Prediction/Scoring - Assist in maintaining consistency, standards, and quality control of Fraud Risk consulting methodologies - Participate in expanding and optimizing Fraud Risk Managed Service offerings Qualifications Required: Basic Qualifications: - 3 or more years of work experience with a Bachelor's Degree or an Advanced Degree Preferred Qualifications: - 4 or more years of work experience with a Bachelor's Degree or more than 3 years of work experience with an Advanced Degree - Specific skill set and experience required: - Graduate/Post Graduate degree in a Quantitative field such as Statistics, Mathematics, Computer Science, Economics, or equivalent experience preferred - Hands-on experience with data analytics/programming tools such as SAS/Hadoop/SQL/Python - Proficiency in statistical techniques like Linear and Logistic Regression, Decision Trees, Random Forests, etc. - Experience in the banking/consumer lending industry and domain expertise in Fraud Risk preferred - Demonstrated ability to innovate solutions and present data-driven results effectively - Strong analytical and problem-solving skills, with the ability to handle multiple projects concurrently - Excellent communication, presentation, and collaboration skills Company Information: The company has adopted a COVID-19 vaccination policy, requiring all employees based in the country of the job location to be fully vaccinated unless a reasonable accommodation is approved or as required by law.,

You will be responsible for converting UX/UI mockups into responsive web applications using HTML, CSS, and JavaScript (React/Angular/Vue). Additionally, you will design and develop end-to-end AI/ML-enabled applications with data analytics integration. Your role will involve building, training, and deploying ML models (classification, prediction, recommendation) using Python, TensorFlow, or PyTorch. You will also perform data preprocessing, exploratory analysis, statistical testing, and data visualization. Collaboration with cross-functional teams to define solutions, manage project plans, and deliver business insights will be a key part of your responsibilities. Deployment of ML models via REST APIs and on cloud platforms like Azure Databricks or Azure ML Studio will also be expected. Qualifications Required: - B.E./M.Tech in Engineering or related field with specialization in Data Science. - 6+ years of experience in AI/ML, Python, and deep learning frameworks. - Hands-on knowledge of Docker, Kubernetes, MLflow (preferred). - Familiarity with manufacturing/process industry data and first-principle analysis. - Strong analytical, problem-solving, and communication skills. NSP-CMMI Level 3 company is a leading expert in digitalization and sustainability, with a global presence in the US, UAE, and India. They specialize in providing innovative Product Engineering services and solutions that leverage cutting-edge technologies such as Energy Efficiency, Internet of Things (IoT), Sustainability, Biometrics, Artificial Intelligence (AI), Cloud Computing, and Cybersecurity. Their expertise helps clients harness the power of these technologies to drive business growth, reduce environmental impact, and improve operational efficiency.,

You are seeking a highly skilled and experienced Senior Data Scientist to join your team. The ideal candidate will have a strong background in data science, machine learning, and statistical analysis. As a Senior Data Scientist, you will be responsible for leading data-driven projects, developing predictive models, and providing actionable insights to drive business decisions. - Lead and manage data science projects from conception to deployment. - Develop and implement machine learning models and algorithms to solve complex business problems. - Analyze large datasets to identify trends, patterns, and insights. - Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions. - Communicate findings and recommendations to stakeholders through reports, presentations, and visualizations. - Stay up to date with the latest advancements in data science and machine learning technologies. Qualifications: - Bachelor's or Master's in Data Science, Computer Science, Statistics, or a related field. - 4+ years of experience. - Expertise in big data & computing technologies like Apache Spark. Expertise in Apache Ray is a plus. - Strong proficiency in programming languages such as Python or R, SQL. - Experience with machine learning frameworks and libraries. - Proven experience with Microsoft Azure. - Excellent analytical and problem-solving skills. - Ability to work independently and as part of a team. - Strong communication and presentation skills. Preferred Qualifications: - Experience in building forecasting systems using statistical and machine learning algorithms. - Experience with mathematical optimization using Gurobi. - Familiarity with data visualization tools (Power BI, Streamlit, Dash). - Familiarity with the industrial or construction supply industry.,

As an Applied Scientist at Aarki, you will have the opportunity to contribute to cutting-edge data science projects and innovative solutions within our programmatic demand-side platform (DSP) in the mobile advertising industry. Your role will involve collaborating with senior research scientists and team members to design and implement machine learning models and data pipelines. **Role Overview:** You will be responsible for: - Developing and deploying machine learning models to address challenges in programmatic advertising such as user response prediction, bid landscape forecasting, and fraud detection. - Performing exploratory data analysis and utilizing statistical techniques to extract insights that support decision-making processes. - Creating and maintaining data pipelines to facilitate the efficient processing and integration of large-scale data for model training and evaluation. - Working closely with senior data scientists and cross-functional teams to integrate models into production systems and applications. - Contributing to the establishment of best practices for model deployment, monitoring, and performance evaluation. - Staying updated on the latest advancements in machine learning and data science to apply relevant techniques in problem-solving and platform enhancement. - Exploring and adopting new methodologies and technologies to enhance the data science capabilities of our platform. **Qualifications Required:** To be considered for this position, you should have: - A minimum of six years of experience in data science with practical exposure to machine learning, statistical analysis, and data modeling. - A Bachelor's degree in Mathematics, Physics, Computer Science, or a related technical field. A Master's degree would be beneficial. - Proficiency in programming languages such as Rust, C++, Java, and Scala, along with experience in large-scale data processing systems. - Knowledge of real-time bidding (RTB), auction theory, and working in high-throughput low-latency environments is advantageous. - Strong skills in machine learning techniques like regression, classification, and clustering, with experience in Python and libraries like Scikit-Learn, TensorFlow, and PyTorch. - Proficiency in Python and SQL, familiarity with Spark, and hands-on experience with TensorFlow, PyTorch, and Scikit-Learn libraries. - A solid grasp of probability, statistics, and data analysis. - The ability to collaborate effectively in a team setting, with excellent communication skills to convey complex concepts to various stakeholders. Join Aarki in Bengaluru, India, and be part of a collaborative environment that fosters creativity and growth, pushing the boundaries of AI and mobile advertising. We offer a competitive salary, comprehensive benefits, and abundant opportunities for career progression.,

As a Solution Architect at Capgemini, you will play a crucial role in designing and implementing data science architectures to support advanced analytics, AI/ML models, and business intelligence. Your responsibilities will include: - Developing robust ETL pipelines using PySpark, Python, and modern frameworks for processing large-scale datasets. - Architecting and deploying solutions on cloud platforms like AWS, Azure, or Google Cloud using services such as Azure Data Factory, Databricks, S3, and BigQuery. - Collaborating with data scientists to ensure that the infrastructure supports predictive modeling, statistical analysis, and machine learning workflows. - Implementing CI/CD pipelines for data workflows and ML model deployment to enhance automation and efficiency. - Leading and mentoring a team of data engineers and data scientists to ensure best practices in coding, architecture, and project delivery. - Ensuring high availability, scalability, and performance of data platforms through performance optimization. - Working closely with business and technical teams to translate requirements into data-driven solutions. Your profile should ideally include expertise in the following areas: - Programming languages such as Python, PySpark, SQL - Strong understanding of ML workflows, data preprocessing, and statistical modeling - Cloud platforms like AWS, Azure, GCP (expertise in at least one) - ETL Tools such as Azure Data Factory, AWS Glue, or equivalent - CI/CD tools like Jenkins, GitHub Actions, or similar - Big Data Technologies like Spark, Hadoop ecosystem - Experience in designing scalable data platforms and solutions - Proven ability to lead cross-functional teams and deliver complex projects At Capgemini, you will enjoy a supportive and inclusive work environment where your unique skills and background are valued. You will have the opportunity to work on cutting-edge projects in technology and engineering, collaborate with industry leaders, and contribute to solutions that address societal and environmental challenges. With a global presence and a focus on digital transformation and sustainability, Capgemini offers a diverse and responsible work culture where you can make a tangible impact. (Note: The additional details about the company have been omitted as per the instructions),

As a member of the data and analytics team at PwC, your primary focus will be on leveraging data to drive insights and make informed business decisions. You will utilize advanced analytics techniques to help clients optimize their operations and achieve their strategic goals. Your role will involve utilizing advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. This will require skills in data manipulation, visualization, and statistical modeling to support clients in solving complex business problems. Key Responsibilities: - Support data-driven initiatives that enable insights into M&A and other transaction-related activities. - Utilize skills in data manipulation, visualization, and statistical modeling to help clients solve complex business problems. - Contribute to client engagement and projects. - Understand business deals & M&A transaction consulting environments. - Manage stakeholder expectations and build relationships with clients. - Develop skills and knowledge in business consulting. - Enhance quality through technology-enabled experiences. - Participate in project tasks and research. Qualifications Required: To qualify for this role, you must have: - Bachelor's degree in a relevant field with hands-on experience in data analytics. - Analytics & problem-solving capabilities. - Proficiency with relational database models and writing SQL queries. - Experience with data visualization tools such as QlikView, Tableau, Power BI. - Basic understanding of key financial statements and accounting principles. - Ability to think critically about problems and apply analytics strategy. - Strong SQL skills, relational database knowledge, and Excel-based analysis. - Proficiency in Power BI, Tableau, or similar tools. - Hands-on experience with ETL processes and data integration. - Strong analytical thinking and stakeholder communication skills. Good-to-have skills: - Experience in Deals, M&A - Tech & Data. - Certifications in database programming (e.g., MS SQL Server, Oracle) and/or data visualization (e.g., Tableau, PowerBI). - Certifications within cloud technology platforms (e.g., AWS, Azure, GCP). - Certifications within predictive modeling and/or machine learning platforms (e.g., Python, SAS). Education Qualification: - B.E/B.Tech (CS/IT/EEE/EC) with a minimum of 60% and no backlogs. - An ideal candidate will have a combination of academic qualifications and practical experience in mergers and acquisitions, contractual due diligence, and data analysis.,

In this role at PwC, your focus in data and analytics will involve leveraging data to drive insights and informed business decisions. You will utilize advanced analytics techniques to help clients optimize operations and achieve strategic goals. Specifically, in data analysis, you will be tasked with extracting insights from large datasets and supporting data-driven decision-making using skills in data manipulation, visualization, and statistical modeling. **Key Responsibilities:** - Work in a team setting on delivery modules such as vendor benchmarking, survey analysis, website scraping, slide creation, and intellectual property within the AC. - Ability to build solid and collaborative relationships with team members. - Proactively assist the team in various aspects of the client engagement. - Contribute to the development of your own and team's technical acumen. - Uphold the firm's code of ethics and business conduct. **Desired Experience And Skills:** - 2-4 years of relevant experience. - Proficiency in Data Visualization tools such as Power BI. - Experience in conducting primary research, secondary research, analysis of complex data, and client-ready deliverable creation. - Experience in private equity, commercial due diligence, target screening, and/or M&A advisory preferred. - Proficiency in using Microsoft Excel, PowerPoint, Power BI, or similar tools. - Strong analytical and problem-solving skills. - Effective written and verbal business communication skills in a professional setting. **Desired Soft Skills:** - Effective communication and storytelling skills to various audiences. - Strong work ethic, proactive, and professional behavior. - Strategic and creative thinker, problem solver. **Qualifications Required:** - MBA from premier B-Schools preferred. - Strong academic credentials, analytical ability, and leadership skills. In addition to the job role, you may also contribute to practice enablement and business development activities, participate in initiatives to develop innovation quotient, and stay updated with local and global business and economic issues. Travel requirements are not applicable for this role, and past experience in consulting or exposure to a multinational environment will be an added bonus. This is a full-time position with work hours that may vary for specific projects. You are encouraged to continuously learn new tools and technologies, develop/implement automation solutions aligned with clients" business requirements, and build internal relationships to strengthen the AC brand.,

Role Overview: As an Associate in Business Operations and Strategy at Google, you will be part of a team that tackles challenging business issues. Your role will involve collecting and analyzing data, deriving insights, and presenting recommendations to senior executives. You will also be involved in implementing and monitoring the impact of these recommendations. Additionally, as a Performance Lead within the Performance Analytics and Operations team, you will focus on using data to enhance YouTube's support systems and user experience. Key Responsibilities: - Collect, analyze, and interpret complex data related to product, support, and business operations to identify trends, patterns, and areas for improvement. - Define, track, and report on key performance indicators (KPIs) concerning support channel effectiveness, user behavior, and support system performance. - Identify opportunities to optimize support processes and propose data-driven solutions with consideration for technical constraints. - Collaborate with product managers, engineers, and support teams to ensure data-driven decisions are incorporated into product development and support operations. - Communicate technical information effectively to non-technical audiences. Qualifications Required: - Bachelor's degree in Engineering, Math, Quantitative Science, or a related technical field, or equivalent practical experience. - Minimum 1 year of experience in data analytics, consulting, data science, engineering, or a technical operations role. - Minimum 1 year of experience in statistical problem-solving and analyzing data sets using SQL or comparable coding language (e.g., Python, R, Java, C++). - Experience converting data into insights and facilitating the implementation of learnings. - Experience in creating executive communications (e.g., memos, slide decks) and presenting to non-technical audiences.,

As a Lead Analyst, you will play a strategic role in leading data-driven consulting engagements, designing advanced analytics solutions, and delivering actionable insights to clients. You will collaborate with cross-functional teams, manage BI projects, and enable clients to make data-backed business decisions. - Partner with clients to understand business challenges, define business objectives, and develop data-driven strategies. - Translate business problems into analytics solutions by leveraging BI dashboards, predictive modelling, and AI-driven insights. - Act as a trusted advisor by delivering compelling presentations and actionable recommendations to senior stakeholders. - Design, develop, and manage scalable BI dashboards and reporting solutions using tools like Power BI and Tableau. - Drive data accuracy, consistency, and security in reporting solutions across different client engagements. - Enable self-service BI for clients by setting up robust data visualization and exploration frameworks. - Perform deep-dive analysis on business performance metrics, customer behavior, and operational trends. - Define, develop and track key performance indicators (KPIs) to measure business success and identify improvement opportunities. - Lead multiple analytics and BI projects, ensuring timely delivery and alignment with client expectations. - Work cross-functionally with data engineers, business consultants, and technology teams to deliver holistic solutions. - Communicate findings through executive reports, data stories, and interactive presentations. - Build and grow a team of BI developers, data analysts, and business consultants. - Foster a data-driven culture by providing training and upskilling opportunities for internal teams. - Contribute to thought leadership by publishing insights, whitepapers, and case studies. **Key Qualifications & Skills:** - Education: Bachelor's or Masters degree in Business Analytics, Data Science, Computer Science, or a related field. - Experience: 6+ years in business intelligence, analytics, or data consulting roles. - Technical Expertise: - Strong proficiency in SQL, Python, Excel, and other data manipulation techniques. - Hands-on experience with BI tools like Power BI/Tableau. - Knowledge of data engineering and data modeling concepts, ETL processes, and cloud platforms (Azure/AWS/GCP). - Familiarity with predictive modeling and statistical analysis. - Consulting & Business Acumen: - Strong problem-solving skills and ability to translate data insights into business impact. - Experience working in a consulting environment, managing client relationships and expectations. - Excellent communication and storytelling skills, leveraging PowerPoint to present complex data insights effectively. - Project & Stakeholder Management: - Ability to manage multiple projects and collaborate across teams in a fast-paced environment. - Strong leadership and mentorship capabilities, fostering a culture of learning and innovation.,

In data analysis at PwC, you will focus on utilizing advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualization, and statistical modeling to support clients in solving complex business problems. **Key Responsibilities:** - Respond effectively to the diverse perspectives, needs, and feelings of others. - Use a broad range of tools, methodologies, and techniques to generate new ideas and solve problems. - Use critical thinking to break down complex concepts. - Understand the broader objectives of your project or role and how your work fits into the overall strategy. - Develop a deeper understanding of the business context and how it is changing. - Use reflection to develop self-awareness, enhance strengths, and address development areas. - Interpret data to inform insights and recommendations. - Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. **Qualifications Required:** - 2-6 years of experience - Location: Bangalore PwC US, Risk Analytics Center of Excellence is an extension of R&R practice and provides key risk analytics services to global banks, investment firms, and asset management entities. The CoE comprises risk analytics professionals with stellar quantitative pedigree from premier institutions and industry certifications in CFA, FRM, PRM, etc. As an integral part of PwC US R&R, the Risk Analytics CoE drives risk analytics engagements, opportunity pursuits, and cutting-edge innovation using data science, Artificial Intelligence, Machine Learning, and Deep Learning. **Additional Company Details:** PwC is one of the most prestigious professional services firms globally, serving as the auditor to nearly half of the world's largest banks. PwC US Risk and Regulatory (R&R) comprises a highly experienced team of risk management specialists supporting global financial institutions in their risk management initiatives. R&R has significant exposure to, and driver of, industry-leading practices and has deep knowledge of regulatory expectations. Risk Analytics CoE at PwC focuses on providing risk analytics services to global banks, investment firms, and asset management entities through its team of professionals with proven experience in risk modeling and analytics at reputed financial institutions and consulting firms.,

You will be joining as a Data Scientist at Google, where you will be utilizing your quantitative skills to provide support, market understanding, and strategic insights to partners across the organization. Your role will involve serving as an analytics expert, using data to drive better decision-making. Your responsibilities will include managing the Bangalore Center of Excellence for Cloud Supply Chain and Operations, leading programs in ML/Statistical models development, and providing prescriptive insights. You will also guide problem framing, metrics development, data manipulation, visualization, and storytelling for the team. Additionally, you will contribute thought leadership by suggesting new analyses, infrastructure, or experiments to drive business improvements. Your role will involve overseeing cross-functional and cross-organizational projects, developing process improvements, and defining operational goals and objectives. **Key Responsibilities:** - Manage Bangalore Center of Excellence for Cloud Supply Chain and Operations, Data Science, and Product team. - Lead programs in developing ML/Statistical models and crafting prescriptive insights. - Guide problem framing, metrics development, data manipulation, visualization, and storytelling. - Provide thought leadership through proactive contributions to drive business improvements. - Oversee cross-functional and cross-organizational project timelines and define operational goals. **Qualifications Required:** - Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. - 10 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 8 years of work experience with a Master's degree). - 8 years of experience with data science and analytics in a technology or supply chain company. - Experience in data model and data insight transformation.,

As a Data Quality Analyst at 4CRisk.ai Software Private Ltd. in Bangalore, India, you will play a crucial role in utilizing regulatory data to drive product decisions. By collaborating with cross-functional teams, your expertise will be instrumental in delivering customer insights and shaping the products offered to our customers. Your work will involve leveraging rich user data through cutting-edge technology to transform your insights into tangible products. Key Responsibilities: - Perform statistical tests on large datasets to assess data quality and integrity. - Evaluate system performance and design to ensure data quality standards are met. - Collaborate with AI and Data Engineers to enhance data collection and storage processes. - Run data queries to identify quality issues and data exceptions, as well as clean the data. - Gather data from primary and secondary sources to identify trends and interpret them. - Report data analysis findings to management for informed business decisions and prioritization of information system needs. - Document processes and maintain data records following best practices in data analysis. - Stay updated on developments and trends in data quality analysis. Required Experience/Skills: - Must have experience in data quality analysis including root-cause analysis and data slicing. - Design, build, and execute data quality plans for complex data management solutions on modern data processing frameworks. - Understand data lineage and prepare validation cases to verify data at each stage of the processing journey. - Develop dataset creation scripts for verification at extraction, transformation, and loading phases. - Support AI and Product Management teams by contributing to the development of data validation strategies. - Document issues and collaborate with data engineers to maintain quality standards. - Efficiently capture business requirements and translate them into functional specifications. - Experience in Data Profiling, Data Modeling, and Data Validation Testing is a plus. - 1 to 3+ years of proven experience in a similar role. - Excellent presentation and communication skills in English, both oral and written, for effective interaction with management and customers. - Ability to work collaboratively with team members globally and across departments. Location: - Bangalore, India,

Role Overview: As a Business Analyst specializing in Data Strategy, you will play a crucial role in leading and supporting data-driven digital transformation initiatives within the organization. Your expertise in IT business analysis and advanced data analytics will be instrumental in optimizing business processes and outcomes. Acting as a bridge between technical teams and business stakeholders, you will ensure that digital transformation strategies are effectively aligned with business goals. This hands-on role requires you to be a critical thinker, team player, exceptionally curious, self-starter, and possess impeccable attention to detail to thrive in a fast-paced environment. Key Responsibilities: - Collaborate with stakeholders to understand business needs and translate them into functional and technical requirements. - Define KPIs, design dashboards, and extract actionable insights from structured and unstructured data in collaboration with data teams. - Collect, clean, and validate large datasets from multiple sources to ensure data accuracy and reliability. - Perform statistical analysis to identify trends, correlations, and outliers supporting decision-making. - Build interactive dashboards and reports using tools like Power BI, Tableau, or Excel. - Write and optimize SQL queries for efficient data extraction and manipulation. - Translate data insights into actionable recommendations by collaborating with engineering, operations, and business teams. - Support automation of data collection and reporting processes using Python, R, or workflow tools. - Improve data pipeline efficiency and data governance in collaboration with engineering teams. - Present analytical findings and visualizations to stakeholders through clear, structured storytelling. - Stay updated with emerging analytics tools, AI trends, and visualization best practices. - Identify opportunities to apply AI for enhancing operational efficiency, customer experience, and decision-making. - Participate in enterprise data governance activities to ensure alignment, evolution, and adherence to standards across data sets. - Support data owners and 3rd party data provider partners in executing ongoing data quality processes and cleansing projects. Qualifications Required: - Bachelor's or Master's degree in Data Science, Statistics, Engineering, Mathematics, Computer Science, or a related field. - 5+ years of experience as an IT Business Analyst with a focus on enabling data-driven decision-making. - Hands-on experience with data visualization tools such as Power BI, Tableau, or Excel. - Proficiency in SQL and experience working with relational databases. - Working knowledge of Python or R for statistical analysis and automation. - Exposure to cloud data platforms like AWS, Azure, or Google BigQuery is advantageous. - Strong analytical thinking, problem-solving, and decision-making abilities. - Excellent communication and stakeholder management skills. - Certifications related to AI/ML are preferred. (Note: The job description did not include any additional details about the company.),

As a GenAI Data Scientist at PwC US - Acceleration Center, your focus will be on leveraging data to drive insights and make informed business decisions through advanced analytics techniques. You will have the opportunity to optimize client operations and help them achieve strategic goals by utilizing your skills in data manipulation, visualization, and statistical modeling. **Key Responsibilities:** - Collaborate with cross-functional teams to understand business requirements and identify opportunities for applying GenAI technologies. - Develop and implement machine learning models and algorithms for GenAI projects. - Perform data cleaning, preprocessing, and feature engineering to prepare data for analysis. - Collaborate with data engineers to ensure efficient data processing and integration into machine learning pipelines. - Validate and evaluate model performance using appropriate metrics and techniques. - Develop and deploy production-ready machine learning applications and solutions. - Utilize object-oriented programming skills to build robust and scalable software components. - Utilize Kubernetes for container orchestration and deployment. - Design and build chatbots using GenAI technologies. - Communicate findings and insights to stakeholders through data visualizations, reports, and presentations. - Stay up-to-date with the latest advancements in GenAI technologies and recommend innovative solutions to enhance data science processes. **Qualifications Required:** - 3-5 years of relevant technical/technology experience, with a focus on GenAI projects. - Strong programming skills in languages such as Python, R, or Scala. - Proficiency in machine learning libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn. - Experience with data preprocessing, feature engineering, and data wrangling techniques. - Solid understanding of statistical analysis, hypothesis testing, and experimental design. - Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud. - Knowledge of data visualization tools and techniques. - Strong problem-solving and analytical skills. - Excellent communication and collaboration abilities. - Ability to work in a fast-paced and dynamic environment. **Preferred Qualifications:** - Experience with object-oriented programming languages such as Java, C++, or C#. - Experience with developing and deploying machine learning applications in production environments. - Understanding of data privacy and compliance regulations. - Relevant certifications in data science or GenAI technologies. **Nice To Have Skills:** - Experience with Azure AI Search, Azure Doc Intelligence, Azure OpenAI, AWS Textract, AWS Open Search, AWS Bedrock. - Familiarity with LLM backed agent frameworks such as Autogen, Langchain, Semantic Kernel, etc. - Experience in chatbot design and development. In your role as a GenAI Data Scientist at PwC, you will have the opportunity to apply your expertise in data science and GenAI technologies to drive impactful results for clients. Your advanced analytical skills and knowledge of machine learning will be instrumental in solving complex business problems and delivering innovative solutions.,

Role Overview: You will be part of the Real World Evidence (RWE) generation team at MC Analytics, playing a crucial role in bridging clinical effectiveness with commercial viability for brands. The company emphasizes the importance of considering commercialization early in the drug development process and is dedicated to collaborating with you to design, develop, and deliver fully integrated RWE for the peri-approval setting. Your work will focus on collecting the right data to ensure successful drug launches. Key Responsibilities: - Provide the supportive data required for regulators to approve and license products - Supply the necessary evidence to physicians to confidently prescribe drugs Coding Skills: - Proficient in advanced/expert R programming, particularly in dplyr and tidyverse packages - Skilled in handling messy data, managing missing values, and conducting pre-processing on structured datasets - Experience with version control systems such as GitHub and GitLab - Advanced SQL skills for writing efficient and scalable queries - Strong ability to write modular, reusable code with a focus on functions and best practices Qualification Required: - B.Sc/M.Sc in Statistics/Data Science with 1-2 years of experience in Real-world data or Oncology - Capability to implement/code statistical methods for descriptive statistics, KM curves, visualization plots, etc. - High sense of ownership for deliverables, ensuring timeliness and high quality - Ability to work independently, ask questions when needed, and take directions in a team environment - Willingness to collaborate in a cross-functional and highly collaborative culture For more information about MC Analytics, you can visit their website at [MC Analytics](https://mcanalytics.co.in/),

As a Supply Chain Solutions Functional Consultant at Blue Yonder, your core responsibilities involve being the primary customer-facing role for onboarding projects. You will create and articulate solution designs, coach customers through change management processes, and collaborate cross-functionally and globally. - Participate in business process analysis or design/construction phase of the project leading to writing functional specifications. - Act as a functional liaison between Project Team and key customer executives, with knowledge of Blue Yonder Demand & Fulfillment, Allocation, Enterprise Planning, Assortment and Category Management. - Work with the project team to ensure smooth implementation and integration between technical and functional system requirements. - Provide advice to customers on industry best practices and process methodology. - Facilitate/lead business diagnostics, process analysis, and design workshops to support solution design document creation. - Identify incremental revenue opportunities with existing customers/projects and support sales & presales in providing solution approach and proof of value. - Represent Blue Yonder in industry conferences and workshops when required. - Assist in the development of functional business process test scripts and conduct customized end-user training workshops. - Assist Project Managers in planning efforts and communicate trends for future product functionality enhancements to Product Management Group. - Ensure security, integrity, and compliance with company policies and procedures. Qualifications Required: - 15-18 years of hands-on experience as a functional consultant providing supply chain solutions. - Advanced degree in Supply Chain, Operations, Logistics, or Operations Research preferred. - Relevant solutions consulting and implementation experience with leading supply chain planning solutions. - Strong business analysis skills, understanding of statistical algorithms, SCM concepts, and tactical planning. - Relevant industry certification from APICS, TOGAF will be a plus. - Experience working in Management consulting organizations or Supply Chain Excellence settings preferred. - Knowledge of performance tuning techniques and technical requirements for the product line assigned. - Strong verbal, written, and interpersonal skills required. - Extensive travel required.,

As an Analytics Consultant at EY, you will be part of a globally connected powerhouse of diverse teams, working towards building a better working world. Your role will involve leveraging your expertise in Analytics and HR consulting to lead global HR analytics projects and address people-related challenges. Your key responsibilities will include: - Leading global HR analytics projects involving predictive analytics, modeling, descriptive analysis, logistical and regression analysis - Applying statistical tools and techniques such as R, Python, Alteryx, PowerApps, Power Automate, and Advance Excel (VBA & Forms) - Extracting, transforming and visualizing data to derive insights and provide financial impact analysis - Collaborating with stakeholders and clients to deliver data-driven solutions for workforce planning, survey analytics, recruitment analytics, learning & development analytics, and more - Identifying key people metrics by analyzing data sets and trends - Ensuring data cleansing, validation, reconciliation, and model creation for effective decision-making - Demonstrating strong communication skills in client management and stakeholder engagement Qualifications required for this role: - 1-5 years of experience in Analytics and HR consulting domain - Minimum 2 years of experience in leading global HR analytics projects - Masters degree in Analytics or HR full-time MBA/EMBA - Experience in master data management and data governance processes - Working knowledge of HR Systems and other HR data sources Additionally, it would be ideal if you have: - Strong expertise in analytics and experience in statistical tools and techniques - Proven track record in data extraction/transformation analytics and visualization approaches - Familiarity with big data and machine learning concepts - Experience in consulting for global organizations across industries - Knowledge of statistics, predictive analytics, modeling, and application to HR function challenges By joining EY, you will be part of a team that is dedicated to creating new value for clients, people, society, and the planet, while building trust in capital markets. With a focus on data, AI, and advanced technology, EY teams are committed to shaping the future with confidence and addressing the most pressing issues of today and tomorrow.,

As a Transformation Analyst at EY, you will play a crucial role in supporting various transformation projects for EY Global Delivery Services (GDS) and global network clients. Your primary responsibilities will include delivering high-quality project outcomes, creating value for clients through strong project, process, and change management skills, applying consulting best practices, conducting rapid client assessments, and developing a knowledge repository for project use. You will collaborate closely with Business Initiative Leaders and Engagement Leads to ensure successful project delivery and maintain stakeholder relationships. Key Responsibilities: - Deliver high-quality project outcomes and receive exceptional feedback from clients and global project counterparts. - Independently create value for clients by leveraging strong project, process, and change management skills. - Apply consulting best practices and techniques to all work undertaken. - Conduct rapid assessments of the client's current landscape and provide insights, hypotheses, and solutions. - Lead or support the seamless delivery of project/program/change outcomes. - Develop and manage a knowledge repository for use across projects. - Support the development of collateral, tools, techniques, and methodologies to enhance transformation programs and the broader capability offering within the practice. Preferred Skills and Characteristics: - Strong presentation skills and conceptual thinking abilities. - High levels of integrity, energy, agility, adaptability, and work ethic. - Proven experience in cross-functional collaboration and working effectively in dynamic, global settings. - Experience in supporting transformations in a PMO, Project, or process lead role. - Experience in change management, process discovery, design, and implementation. - Proficiency in project methodologies, project management tools, and MS Office Applications. - Experience working with data using analytics/statistical tools. - A willingness to share and build knowledge and experience in a learning environment. What We Offer: - The opportunity to work with a global team of experts in a leading professional services organization. - A challenging and rewarding role in a dynamic and international work environment. - Opportunities for personal and professional development. - Competitive salary and benefits package. - A supportive and collaborative team culture. In your role as a Transformation Analyst, you will engage in activities such as surveys and stakeholder interviews, client presentations and workshops, data review and synthesis, process discovery and documentation, project management, and change/solution activation and support. Your contributions will be vital in driving successful transformation projects and supporting business development initiatives at EY.,