16 Statistical Consulting Jobs in Bangalore

Description: Experience: - 3+ years of relevant experience in a business / data / statistical analysis role. Advanced Excel skills, SQL programming capability and familiarity with data visualization tools, e.g. Tableau, Qlik. - Experience in developing requirements and formulating business metrics for reporting, ability to display complex quantitative data in a simple, intuitive format and to present findings in a clear and concise manner. - Excellent organizational skills including prioritizing, scheduling, time management, and meeting deadlines. - Explore newer technology options, if need be, and has a high sense of ownership over every deliverable by the team. - Superior verbal and written communications skills, ability to work effectively with multiple teams and external organisations

Location - LTIM Pan IndiaExperience - 5+to 12+ yrsGeneric JD-Mandatory Skills - Data Science, Gen AI, Python, RAG and Azure/AWS/GCP, AI/ML, NLP Secondary - (Any) Machine Learning, Deep Learning, ChatGPT, Langchain, Prompt, vector stores, RAG, llama, Computer vision, Deep learning, Machine learning, OCR, Transformer, regression, forecasting, classification, hyper parameter tunning, MLOps, Inference, Model training, Model DeploymentJD_ More than 6 years of experience in Data Engineering, Data Science and AI / ML domainExcellent understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc.Experience using business intelligence tools (e.g. Tableau, PowerBI) and data frameworks (e.g. Hadoop)Experience in Cloud native skills.Knowledge of SQL and Python; familiarity with Scala, Java or C++ is an assetAnalytical mind and business acumen and Strong math skills (e.g. statistics, algebra)Experience with common data science toolkits, such as TensorFlow, KERAs, PyTorch, PANDAs, Microsoft CNTK, NumPy etc. Deep expertise in at least one of these is highly desirable.Experience with NLP, NLG and Large Language Models like BERT, LLaMa, LaMDA, GPT, BLOOM, PaLM, DALL-E, etc.Great communication and presentation skills. Should have experience in working in a fast-paced team culture.Experience with AIML and Big Data technologies like AWS SageMaker, Azure Cognitive Services, Google Colab, Jupyter Notebook, Hadoop, PySpark, HIVE, AWS EMR etc.Experience with NoSQL databases, such as MongoDB, Cassandra, HBase, Vector databasesGood understanding of applied statistics skills, such as distributions, statistical testing, regression, etc.Should be a data-oriented person with analytical mind and business acumen.

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 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,

As a Manager/Senior Manager for MIS and Analytics, your role is crucial in leading data-driven decision-making efforts across the organization. You will be responsible for managing a team of analysts to collect, analyze, and interpret data from various sources, translating insights into actionable recommendations to drive the business forward. Your expertise in data analytics and strong leadership skills will play a pivotal role in achieving the company's strategic objectives. Key Responsibility Areas: - Lead a team of data analysts, providing guidance, mentorship, and support in their daily activities. - Design and implement an analytics strategy aligned with the company's business goals. - Collect, analyze, and interpret data from multiple sources to identify trends and opportunities, including financial data on revenue, cost, and EBITDA by various business parameters. - Deliver profitability analyses and insights to Senior Management, recommending areas for improvement. - Collaborate cross-functionally to define KPIs, develop dashboards, and reports for performance measurement. - Provide actionable insights to stakeholders to support data-driven decisions and business growth. - Identify opportunities for automation to enhance productivity and facilitate IT and operations collaboration. - Stay updated on industry trends and analytics tools advancements for continuous improvement. - Lead data governance initiatives to ensure data quality, accuracy, and security. - Partner with IT teams to optimize data infrastructure and systems for efficient data processing. - Communicate complex findings to technical and non-technical stakeholders through presentations, reports, and visualizations. - Promote a culture of data-driven decision-making and continuous improvement across the organization. Requirements: - Bachelor's degree in Business Management, Data Analytics, or related field; Master's degree preferred. - 8-10 years of experience in analytics or a related field, with at least 5 years in a leadership role. - Proven track record in delivering impactful insights and recommendations based on data analysis. - Experience in formulating and executing analytics strategies in a corporate environment. - Solid understanding of data governance principles and practices. - Exceptional people and stakeholder management skills. - Familiarity with data visualization tools and best practices. - Experience with large datasets and statistical analysis techniques. - Relevant certifications in analytics tools or methodologies are a plus.,

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 Digital Analytics and Optimization Specialist at Tredence, you will play a crucial role in driving deep insights into user interactions, website performance, and e-commerce sales. You will be responsible for leveraging clickstream data, Google Analytics, funnel analytics, and ad performance metrics to identify user behavior patterns and conversion blockers. Your primary objective will be to implement data-driven personalization strategies to optimize user experience and maximize ROI from search ads. Key Responsibilities: - Lead and mentor a team of analysts and data scientists delivering risk and fraud analytics solutions for global retail clients - Monitor current trends in Fraud landscape and suggest preventive & corrective measures - Advise clients on a wide range of Fraud Management/ Analytics initiatives - Collaborate with product, engineering, and operations teams to translate business risks into measurable data strategies - Design dashboards and monitoring systems to track suspicious activity and risk KPIs - Leverage machine learning, statistical modeling, and pattern recognition to proactively detect fraudulent behavior - Own and manage end-to-end delivery roadmaps, translating business objectives into structured execution plans with clear milestones, deliverables, and success metrics - Communicate insights and recommendations to senior stakeholders, influencing policy and platform controls - Introduce best practices in program governance such as sprint tracking, delivery scorecards, dashboards, and reporting frameworks Qualifications Required: - Deep expertise in technical skills including SQL, Python statistical modeling, anomaly detection, and data visualization tools (Tableau, Power BI, or equivalent) - Excellent problem-solving, storytelling, and stakeholder communication skills - Experience leading analytics teams and managing end-to-end project delivery Good to have: - Retail expertise preferred - Experience with real-time detection models, graph-based fraud analytics, or ML-driven risk scoring Tredence, a global data science and AI solutions provider, is known for its commitment to providing data-driven solutions to organizations and solving the last-mile problem in AI. With a strong team of 2200-plus employees, Tredence caters to leading companies across various industries like retail, CPG, hi-tech, telecom, healthcare, travel, banking, and industrials. The company has received accolades for its growth, market leadership, and commitment to creating a positive work culture that values employees" professional development and work-life balance.,

As a Software Development Engineer in Testing specializing in Java framework at Hitachi Energy, your role will involve collaborating with team members to test highly available, scalable, and reliable software. Your work will revolve around technical challenges within the scrum team and product teams to deliver quality software to customers consistently. **Key Responsibilities:** - Develop and execute test plans to ensure all objectives are met. - Test software features and systems to evaluate success in achieving intended designs and outcomes. - Implement and monitor test scripts to assess functionality, reliability, performance, and quality of the service or product. Identify and rectify defects in the production process. - Recommend, implement, and monitor preventive and corrective actions to uphold quality assurance standards. Analyze statistical data. - Ensure user expectations are met during the testing process. Draft quality assurance policies and procedures. - Investigate customer complaints and product issues. - Ensure ongoing compliance with quality and industry regulatory requirements. - Responsible for compliance with external and internal regulations, procedures, and guidelines. **Qualifications Required:** - Bachelor's degree in computer science, information systems, or a related field with 5 to 8 years of experience in Automation of test scenarios. - Experience in quality inspection, auditing, and testing. - Excellent communication skills, both written and verbal. - Strong computer skills and knowledge of QA databases and applications. Analytical and problem-solving skills. - Hands-on experience in Appium/Mobile Automation/Test Planning/Test Cases/Manual Test Execution/Jira/Zephyr Scale/Selenium. - Expert knowledge of programming languages C, Java, Python. Attention to detail. - Knowledge of SQL/XML/Json/Postman. Excellent verbal and writing skills. - Good database skills with knowledge of SQL & Postgres. Hitachi Energy values safety and integrity, emphasizing responsibility for your actions and caring for colleagues and the business. If you are excited about this opportunity and meet the qualifications mentioned, do not hesitate to apply! Hitachi Energy encourages ongoing applications. (Note: Additional company details were not provided in the job description.) As a Software Development Engineer in Testing specializing in Java framework at Hitachi Energy, your role will involve collaborating with team members to test highly available, scalable, and reliable software. Your work will revolve around technical challenges within the scrum team and product teams to deliver quality software to customers consistently. **Key Responsibilities:** - Develop and execute test plans to ensure all objectives are met. - Test software features and systems to evaluate success in achieving intended designs and outcomes. - Implement and monitor test scripts to assess functionality, reliability, performance, and quality of the service or product. Identify and rectify defects in the production process. - Recommend, implement, and monitor preventive and corrective actions to uphold quality assurance standards. Analyze statistical data. - Ensure user expectations are met during the testing process. Draft quality assurance policies and procedures. - Investigate customer complaints and product issues. - Ensure ongoing compliance with quality and industry regulatory requirements. - Responsible for compliance with external and internal regulations, procedures, and guidelines. **Qualifications Required:** - Bachelor's degree in computer science, information systems, or a related field with 5 to 8 years of experience in Automation of test scenarios. - Experience in quality inspection, auditing, and testing. - Excellent communication skills, both written and verbal. - Strong computer skills and knowledge of QA databases and applications. Analytical and problem-solving skills. - Hands-on experience in Appium/Mobile Automation/Test Planning/Test Cases/Manual Test Execution/Jira/Zephyr Scale/Selenium. - Expert knowledge of programming languages C, Java, Python. Attention to detail. - Knowledge of SQL/XML/Json/Postman. Excellent verbal and writing skills. - Good database skills with knowledge of SQL & Postgres. Hitachi Energy values safety and integrity, emphasizing responsibility for your actions and caring for colleagues and the business. If you are excited about this opportunity and meet the qualifications mentioned, do not hesitate to apply! Hitachi Energy encourages ongoing applications. (Note: Additional company details were not provided in the job description.)

Role Overview: Expedia Group is seeking a Data Scientist to join the Yield & Analytics team in the Finance division. In this role, you will work on cross-functional product research projects, manage scalability and automation projects, stay updated on the latest tools and methodologies, and collaborate within a cross-functional team to contribute to various projects. Key Responsibilities: - Work on cross-functional product research projects to develop incrementality estimates using quasi-experimental methods - Manage scalability and automation projects across the Supply Marketplace Product Analytics team - Stay up to date with the latest tools and methodologies for Data Science & Analytics functions - Collaborate within a cross-functional team to contribute to cross-team projects and work with enablement functions for maximum analytics scalability and automation Qualifications Required: - Bachelors, Masters degree, or Ph.D. in Mathematics, Statistics, Economics, or related field with 2-4 years of work experience in data analytics - Expertise in SQL and Python or R, along with proficiency in at least one visualization tool such as Tableau - Experience applying statistical concepts like regression analysis, A/B testing, and other modeling techniques - Ability to frame complex business problems as analytics problems, execute analytics insights projects, and engage with stakeholders - Experience with automating measurement and reporting tasks, and building scalable analytics products for stakeholders Additional Details: Expedia Group is committed to fostering an open culture where everyone belongs, differences are celebrated, and success is a collective effort. They offer a full benefits package, exciting travel perks, generous time-off, parental leave, flexible work model, and career development resources to fuel employees' passion for travel and ensure a rewarding career journey. Expedia Group has been recognized as a Best Place to Work on Glassdoor and for its award-winning culture by organizations like Forbes, TIME, and Disability:IN. (Note: The additional details of the company were omitted as they were not explicitly mentioned in the provided job description) Role Overview: Expedia Group is seeking a Data Scientist to join the Yield & Analytics team in the Finance division. In this role, you will work on cross-functional product research projects, manage scalability and automation projects, stay updated on the latest tools and methodologies, and collaborate within a cross-functional team to contribute to various projects. Key Responsibilities: - Work on cross-functional product research projects to develop incrementality estimates using quasi-experimental methods - Manage scalability and automation projects across the Supply Marketplace Product Analytics team - Stay up to date with the latest tools and methodologies for Data Science & Analytics functions - Collaborate within a cross-functional team to contribute to cross-team projects and work with enablement functions for maximum analytics scalability and automation Qualifications Required: - Bachelors, Masters degree, or Ph.D. in Mathematics, Statistics, Economics, or related field with 2-4 years of work experience in data analytics - Expertise in SQL and Python or R, along with proficiency in at least one visualization tool such as Tableau - Experience applying statistical concepts like regression analysis, A/B testing, and other modeling techniques - Ability to frame complex business problems as analytics problems, execute analytics insights projects, and engage with stakeholders - Experience with automating measurement and reporting tasks, and building scalable analytics products for stakeholders Additional Details: Expedia Group is committed to fostering an open culture where everyone belongs, differences are celebrated, and success is a collective effort. They offer a full benefits package, exciting travel perks, generous time-off, parental leave, flexible work model, and career development resources to fuel employees' passion for travel and ensure a rewarding career journey. Expedia Group has been recognized as a Best Place to Work on Glassdoor and for its award-winning culture by organizations like Forbes, TIME, and Disability:IN. (Note: The additional details of the company were omitted as they were not explicitly mentioned in the provided job description)

As a Solutions Specialist in Data Analytics at DT Consulting, your role will involve: - Taking ownership of end-to-end analytics projects, utilizing our unique approach to research and advisory services. - Leading analyst teams to deliver high-quality research and analytics projects that meet client satisfaction. - Mentoring and guiding junior colleagues in their technical and professional development. - Translating business requirements into analytical problem statements. - Designing and deploying quantitative research surveys. - Performing data cleaning and processing tasks to visualize response datasets. - Managing dashboard development projects, from design to deployment. - Delivering research insights and contributing to strategic consulting outputs. - Collaborating with tech teams to integrate data analytics and generative AI techniques into production systems. - Ensuring solutions are scalable, user-centric, and aligned with business needs. Qualifications required: - Bachelor's degree in Mathematics, Statistics, Engineering, Business Analytics, or Data Science. - 4-6 years of progressive experience in data analytics, business intelligence, and automation solutions. - Experience in leading teams and mentoring junior colleagues. - Proficiency in Tableau; Power BI skills are advantageous. - Ability to design and run quantitative surveys using CX platforms like Qualtrics, Alchemer, Medallia. - Advanced Excel and PowerPoint skills. - Programming experience in Python or JavaScript and SQL. - Understanding of LLMs and GenAI technologies. - Strong product management mindset with experience in defining product roadmaps. - Excellent problem-solving, communication, and project management skills. - Ability to engage non-technical stakeholders and simplify complex concepts. Desired Skills: - Experience in the life sciences industry within an agency/consultancy or global capability center environment. - Experience in building and maintaining automated data pipelines to support strategic decision-making and business operations. - Proficiency in statistical concepts and ML algorithms. - Demonstrable experience with various quantitative research methodologies and survey approaches. - Experience with cloud platforms like AWS, Azure, or GCP. - An entrepreneurial mindset and a commitment to delivering outstanding work. Please note that you will be based in the Bengaluru office with potential ad-hoc international travel. All candidates must be eligible to work in the relevant location.,

Role Overview: As a Senior Gen AI Developer with NTT DATA, you will be responsible for leveraging your expertise to design and implement cutting-edge AI solutions. Working in a hybrid mode out of Bengaluru, you will play a key role in developing AI/ML applications and collaborating with cross-functional teams to support the successful execution of AI projects across various industries. Your focus will be on driving business intelligence and decision-making through transformative projects. Key Responsibilities: - Exercise expertise in developing AI/ML applications on prediction, recommendation, text analytics, computer vision, bots, and content intelligence. - Apply advanced statistical techniques and concepts to enhance AI solutions. - Demonstrate deep knowledge of ML frameworks like TensorFlow, PyTorch, Keras, Spacy, and scikit-learn. - Leverage advanced knowledge of Python open-source software stack such as Django or Flask, Django Rest or FastAPI, etc. - Deep understanding of statistics, Machine Learning models, deep learning models, NLP, Generative Adversarial Networks (GAN), and other generative models. - Experience with RAG technologies, LLM frameworks, LLM model registries (Hugging Face), LLM APIs, embedding models, and vector databases. - Employ technical knowledge and hands-on experience with Azure OpenAI, Google Vertex Gen AI, and AWS LLM foundational models like BERT, Transformers, PaLM, Bard, etc. - Proficiency in programming languages such as Python and various Python packages, including TensorFlow, PyTorch, or Keras. - Collaborate with customers to understand their requirements and deliver customized AI solutions. - Communicate complex technical concepts clearly to non-technical audiences and conduct training sessions to enhance overall data science skills within the organization. Qualifications Required: - 7+ years of experience in AI development. - Strong expertise in developing AI/ML applications with a focus on prediction, recommendation, text analytics, computer vision, bots, and content intelligence. - Advanced knowledge of statistical techniques and ML frameworks such as TensorFlow, PyTorch, Keras, Spacy, and scikit-learn. - Proficiency in programming languages like Python and experience with Azure OpenAI, Google Vertex Gen AI, and AWS LLM foundational models. - Excellent communication skills and the ability to interact effectively with clients and cross-functional teams. Please note the additional details of the company were not provided in the job description. Role Overview: As a Senior Gen AI Developer with NTT DATA, you will be responsible for leveraging your expertise to design and implement cutting-edge AI solutions. Working in a hybrid mode out of Bengaluru, you will play a key role in developing AI/ML applications and collaborating with cross-functional teams to support the successful execution of AI projects across various industries. Your focus will be on driving business intelligence and decision-making through transformative projects. Key Responsibilities: - Exercise expertise in developing AI/ML applications on prediction, recommendation, text analytics, computer vision, bots, and content intelligence. - Apply advanced statistical techniques and concepts to enhance AI solutions. - Demonstrate deep knowledge of ML frameworks like TensorFlow, PyTorch, Keras, Spacy, and scikit-learn. - Leverage advanced knowledge of Python open-source software stack such as Django or Flask, Django Rest or FastAPI, etc. - Deep understanding of statistics, Machine Learning models, deep learning models, NLP, Generative Adversarial Networks (GAN), and other generative models. - Experience with RAG technologies, LLM frameworks, LLM model registries (Hugging Face), LLM APIs, embedding models, and vector databases. - Employ technical knowledge and hands-on experience with Azure OpenAI, Google Vertex Gen AI, and AWS LLM foundational models like BERT, Transformers, PaLM, Bard, etc. - Proficiency in programming languages such as Python and various Python packages, including TensorFlow, PyTorch, or Keras. - Collaborate with customers to understand their requirements and deliver customized AI solutions. - Communicate complex technical concepts clearly to non-technical audiences and conduct training sessions to enhance overall data science skills within the organization. Qualifications Required: - 7+ years of experience in AI development. - Strong expertise in developing AI/ML applications with a focus on prediction, recommendation, text analytics, computer vision, bots, and content intelligence. - Advanced knowledge of statistical techniques and ML frameworks such as TensorFlow, PyTorch, Keras, Spacy, and scikit-learn. - Proficiency in programming languages like Python and experience with Azure OpenAI, Google Vertex Gen AI, and AWS LLM foundational models. - Excellent communication skills and the ability to interact effectively with clients and cross-functional teams. Please note the additional detai

As a Senior Consultant specializing in Marketing Mix Modeling (MMM) within the Analytics team, you will play a crucial role in quantifying the impact of marketing and business activities on key performance metrics like sales and ROI. Your expertise in statistical and econometric methods will be instrumental in delivering actionable insights, automating solutions, and supporting strategic decision-making across various industries. Key Responsibilities: - Lead and manage day-to-day client data processing and project delivery in MMM engagements. - Apply econometric modeling techniques to evaluate the effectiveness of marketing and promotional campaigns. - Interpret complex data and analytical results to generate actionable business recommendations. - Present findings through well-structured PowerPoint presentations tailored to client audiences. - Collaborate with cross-functional teams, including data scientists, consultants, and clients. - Conduct research and development activities to enhance modeling accuracy or explore new techniques. - Automate repetitive tasks and data workflows using tools like VBA, R, or Python. - Support the development and implementation of advanced analytical frameworks and custom models. - Ensure quality and consistency in deliverables across projects and industries. Desired Qualifications: - Education: Graduate degree in Economics, Business, Statistics, Mathematics, Operations Research, Industrial Engineering, Quantitative Analysis, or a related field (M.Sc. or MBA preferred). - Senior Consultant Experience: Approximately 4-6 years of relevant experience, including hands-on work in Marketing Mix Modeling. - Strong understanding of econometric modeling and statistical analysis. - Proficiency in programming languages such as R, Python, or SAS. - Advanced skills in Excel (macros, pivot tables, complex formulas) and PowerPoint. - Experience with automation tools (VBA/R/Python) to streamline processes. - Exceptional verbal and written communication skills. - Strong project management, problem-solving ability, and a proactive, can-do attitude. - Ability to work independently as well as in a team-oriented environment. - Exposure to other analytics domains (e.g., pricing, forecasting, customer analytics) is a plus.,

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.,

Role Overview: You will be joining the People Advisory Services (PAS) team at EY Global Delivery Services (GDS) as a Transformation Analyst within the Strategic Transformation Team. Your main responsibility will be to collaborate with Business Initiative Leaders and Engagement Leads to manage transformation projects for GDS and global network clients. You will also play a key role in establishing and maintaining 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 with conceptual, critical, and consultative thinking abilities. - High levels of integrity, energy, agility, adaptability, and work ethic. - Proven experience in cross-functional collaboration and the capacity to work effectively both independently and as part of diverse teams. - Experience supporting a range of Transformations in a PMO, Project, or process lead role. - Experience in change management, process discovery or design, application of agile project methodologies, and working with data using analytics/statistical tools. - Excellent working knowledge of MS Office Applications, including Word, Project, Excel, and PowerPoint. - A willingness to share and build knowledge and experience with others in a learning environment. What We Offer: - The chance 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. Additional Details: EY is building a better working world by creating new value for clients, people, society, and the planet. Enabled by data, AI, and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY offers a full spectrum of services in assurance, consulting, tax, strategy, and transactions across more than 150 countries and territories.,

As an Algorithms Engineer at Oblivious, you will play a crucial role in designing and implementing the core components of differential privacy (DP) systems. Your main responsibilities will involve translating mathematical theory into production-ready code to ensure privacy guarantees are practical and efficient. Key Responsibilities: - Implement and analyse privacy loss accountants such as RDP and zCDP, and convert them to (, )-DP. Calibrate and apply noise mechanisms like Gaussian and Laplace based on sensitivity analysis. - Develop algorithms for static and dynamic sensitivity analysis of relational operators in the Differentially Private SQL Engine. Build query rewriting logic to inject calibrated noise and manage a per-user privacy budget ledger. - Utilize Python AST manipulation and static analysis for Compiler & Static Analysis to enforce a DP-safe execution environment, preventing private information leakage from user-submitted code. - Implement and benchmark state-of-the-art algorithms for high-dimensional synthetic data generation in DP Synthetic Data, analyzing privacy-utility trade-offs. Qualifications Required: - Strong foundation in probability, statistics, and linear algebra with proficiency in statistical modeling, proving bounds, and reasoning about error/variance. - Proficiency in Python for scientific computing, including considerations for numerical stability like floating-point precision, clipping, and scaling. - Demonstrated ability to translate mathematical concepts from academic papers or technical specifications into robust, well-tested code. Desirable Skills: - Direct experience with differential privacy concepts or libraries like OpenDP, SmartNoise, TensorFlow Privacy. - Knowledge of compiler design, abstract syntax trees (ASTs), or program analysis. - Experience with machine learning, noise models, statistical learning theory, or generative models. - Familiarity with SQL parsers or database internals. In addition to the challenging role, you will enjoy benefits such as Private Health Insurance, Paid Time Off, Work From Home flexibility with one required in-office anchor week every six weeks for deep collaboration and planning, and Training & Development opportunities. Oblivious is committed to equal opportunity for all and follows a privacy policy for handling personal data during the candidate evaluation process.,

Your role at Prudential will involve the following key responsibilities: - Perform strategic analysis of structured and unstructured data across multiple data sources. - Develop data structures and pipelines to organize, collect, cleanse, and standardize data to generate actionable insights and address reporting needs. - Define data requirements, gather and validate information using judgment and statistical tests. - Support the creation of Data Quality rules to bring data under formal governance. - Identify innovative opportunities to develop data insights and maximize data usage for new strategies and improved business performance. - Act as a Subject Matter Expert (SME) for key systems/processes in subject teams and day-to-day functions. - Provide complex Business Intelligence solutions involving SQL and Python. - Assist the team and guide junior team members. - Engage extensively with users, including senior management, to understand and translate their requirements into user-friendly dashboards and insights. - Upskill continuously to venture into Advanced Analytics and become familiar with data science languages like Python and R. - Identify and manage risks in the area of responsibility, including resolving blockers and bottlenecks. Qualifications required for this role include: - A university degree in Computer Science, Data Analysis, or a related field. - Minimum of 4 years" experience in a similar role or as a data analyst. - Experience in analyzing mobile applications data. - Proficiency in preparing business reports and professional documentation. - Exceptional analytical skills. - Good knowledge and understanding of the power and value of data, with the ability to apply technology solutions to meet business needs. - Ability to assess stakeholder needs, improve customer experience, show resilience under pressure, and provide best-in-class solutions. - Delivery-focused, with the ability to meet agreed deadlines and deliver high-quality output. - Experience in dealing with requests and queries from senior management. - Must have prior experience in mobile app data analysis. Additional company details were not provided in the job description.,