10 Statistical Jobs

At EY, you have the opportunity to shape a career that aligns with your unique qualities, supported by a global platform, inclusive environment, and cutting-edge technology to empower you to excel. Your distinctive voice and perspective are valued contributions towards enhancing EY's continuous evolution. Join us in crafting a remarkable journey for yourself and contributing to a more progressive working world for all. As a Senior Manager in EY's Financial Services Office (FSO), you will be an integral part of a specialized unit offering a comprehensive range of services tailored to the financial sector. Leveraging deep industry knowledge and functional expertise, the FSO practice delivers advisory services to various entities in the financial landscape, including commercial banks, investment firms, insurance companies, and energy trading enterprises. Your role within the Financial Services Risk Management (FSRM) group focuses on assisting clients in identifying, measuring, managing, and monitoring market, credit, operational, and regulatory risks associated with their trading activities and capital management processes. Your key responsibilities include: - Demonstrating expertise in financial products and technical capabilities - Acting as a subject matter expert in areas such as model risk management, statistical techniques, mathematical concepts, and derivative pricing - Providing strategic recommendations on Financial Services Risk Management issues - Engaging in Quantitative Risk and Assurance projects related to market risk and credit risk modeling - Contributing to business development initiatives, sales enablement, and expansion of client accounts - Conducting performance reviews, recruiting talent, and fostering professional development - Creating intellectual capital by developing thought leadership articles and white papers To qualify for this role, you should possess: - A degree in Computational Finance, Mathematics, Engineering, Statistics, or Physics, with 11+ years of relevant industry experience - Professional qualifications such as CQF, CFA, FRM, or PRM are preferred - Proficiency in statistical and numerical techniques, derivative pricing, and risk measurement methodologies - Strong communication, problem-solving, and project management skills - Willingness to travel as required and a proactive attitude towards learning and innovation At EY, you will be rewarded with a competitive compensation package based on performance, along with a collaborative work environment that fosters growth and development. Your contributions will be instrumental in delivering exceptional services to clients, establishing you as a trusted advisor and propelling your career to new heights. EY is dedicated to building a better working world by creating long-term value for clients, society, and the capital markets. With a global presence spanning over 150 countries, EY's diverse teams leverage data and technology to provide assurance and drive transformation across various sectors. Join us in asking better questions to address the complex challenges of today's world and make a meaningful impact.,

The position of Data Scientist in the Fraud & Operational Analytics Team of the Data & Analytics department involves creating Machine Learning/AI solutions to enhance fraud prevention and improve operational scalability. Your primary focus will be on developing cutting-edge ML solutions to drive customer experience, reduce operational costs, and mitigate risks effectively. As a Data Scientist, your responsibilities will include analyzing extensive datasets to extract business insights, understanding various fraud patterns, developing advanced ML models for fraud detection, and innovating with a continuous emphasis on improving approaches. You will also be exploring additional data sources to enhance the effectiveness of traditional sources and exhibiting expertise in data strategy and model training pipelines. Moreover, you will be expected to drive insights for actionable data-driven strategies, provide analytical support to the business and risk teams through bespoke and strategic analysis, and possess proficiency in econometric, statistical, and machine learning techniques. Strong knowledge of Python, SQL, Pandas, NumPy, Sklearn, TensorFlow/PyTorch, and statistical concepts for regression, classification, and anomaly detection is essential for this role. To qualify for this position, you should hold a Bachelor's degree in Science, Technology, or Computer Applications for Graduation and a Master's degree in the respective fields for Post-Graduation. The ideal candidate will have 2 to 5 years of experience in the field of data science, demonstrating a logical thought process and the ability to translate complex problems into data-driven solutions effectively.,

You should have experience in BI Product Development, specifically with Apache Superset. Hands-on experience with other BI tools like Power BI or Tableau is acceptable if you have strong project-based BI development exposure. It is essential that you have worked on multiple BI projects end-to-end. Advanced proficiency in Python and SQL is a must. You should have used Python for product development or in complex analytics projects. Additionally, you must demonstrate advanced SQL knowledge, such as optimizing queries, working with large datasets, and utilizing stored procedures. Be prepared to provide specific use cases where your Python and SQL expertise was critical. You should have hands-on experience in advanced analytics, including Fraud Analytics, Prediction/Forecasting models, and statistical or machine learning techniques. Familiarity with Pandas, NumPy, Scikit-learn, or similar Python libraries is a plus. Experience in client management is necessary, as you will be expected to manage BI projects for external or internal clients. You should be capable of understanding client requirements, presenting solutions, and effectively managing delivery timelines and stakeholder expectations.,

Be part of something revolutionary At o9 Solutions, the mission is clear: to be the Most Valuable Platform (MVP) for enterprises. With the AI-driven platform, the o9 Digital Brain, global enterprises" siloed planning capabilities are integrated, helping them capture millions and, in some cases, billions of dollars in value leakage. This impact extends beyond just businesses, as planning better and faster also leads to waste reduction, driving better outcomes for the planet. We are searching for the brightest and most committed individuals to join us on this mission. Throughout this journey, you will be provided with a nurturing environment where you can be part of something truly extraordinary and make a real difference for companies and the planet. About the job The position of Associate Solution Architect - Client Success at o9 Solutions involves demonstrating thorough knowledge of industry best practices, business processes, o9's solutions, technical architecture, and value proposition. You will be responsible for ensuring solution usability and uptime by resolving customer issues promptly, ensuring data load accuracy, and validating end-to-end workflows. Identifying design issues in the existing setup and collaborating with other o9 consultants to solve business problems is a key aspect of the role. Additionally, you will configure the o9 platform based on change requests/enhancements post go-live and deliver solutions to address deep operations/supply chain challenges. Creating and executing workflow and data analytics test cases, working on bugs/issues, and supporting user training are also part of the responsibilities. What you'll have To excel in this role, you must have 5-7 years of experience in implementing planning applications. A degree in Btech/BE/MCA/Mtech is required. Proficiency in languages such as SQL, MDX, T-SQL, or similar is essential, with skills in statistical, optimization, and simulation tools like R, SAS, CPLEX being desirable. Deep understanding of supply chain planning concepts, including Demand Management, Distribution Planning, Master Planning, and S&OP, is crucial. Characteristics such as the ability to lead by example, proficiency in both product and domain, strong communication skills, and analytical abilities are highly valued at o9 Solutions. What we'll do for you We offer a competitive salary with stock options for eligible candidates and maintain a flat organizational structure with a strong entrepreneurial culture. You can expect to work with great people, have unlimited fun at work, and make a significant impact in a scale-up environment. There are opportunities for onsite travel based on project requirements, a supportive network to facilitate continuous learning, and a diverse international working environment. At o9, we prioritize work-life balance and foster transparency and frequent communication among team members. Join us on this revolutionary journey by applying below, and our recruiter will guide you through the process to potentially become part of the o9 Solutions team. Good luck!,

The Global Safety Therapeutic Areas at Amgen serve as the safety experts for all Amgen products globally. They are responsible for defining the safety strategy and major safety deliverables for each Amgen product. As a leader in the therapeutic area safety teams, you will oversee staff management and resource allocations in Global Patient Safety. Your role will involve supporting GPS in establishing a highly effective global safety organization that complies with worldwide regulations. As a Global PV Sr. Scientist, you will collaborate with the Therapeutic Safety Teams on safety assessment activities related to medical and scientific operations. Additionally, you will provide scientific and compliance expertise to GPS as required. Your responsibilities as a Global PV Sr. Scientist include directing the planning, preparation, writing, and review of portions of aggregate reports. You will also coordinate liaison activities with affiliates and other internal partners at Amgen regarding products. Furthermore, you will provide oversight to staff on safety in clinical trials, review study protocols, statistical analysis plans, clinical study-related documents, adverse events, and safety data from clinical studies. You will be involved in signal detection, evaluation, and management, performing data analysis for safety signals, documenting work in the safety information management system, authoring Safety Assessment Reports, and collaborating with the GSO on safety documents and regulatory responses. Additionally, you will support risk management activities, prepare responses to regulatory inquiries, and contribute to new drug applications and other regulatory filings. In terms of inspection readiness, you will undertake activities delegated by the QPPV as outlined in the PV System Master File and maintain a state of inspection readiness. You will also serve as a representative and point of contact for Health Authority Inspections and Internal Process Audits within your role and responsibility. Your knowledge and skills should encompass a range of areas including pharmacovigilance regulations, drug development, safety data capture, safety database structure, MedDRA, safety data analysis, risk management, and product knowledge. You should also possess intermediate skills in various pharmacovigilance processes, document writing, risk management plans, statistical methods, biomedical literature review, organization, collaboration, critical assessment, scientific writing, and communication. A strong background in pharmacovigilance, expertise in defined subject areas, problem-solving abilities, autonomy in executing strategies, and a contribution to business results through quality and leadership are essential. Your education should include a Doctorate/Masters degree/Bachelors degree with 12 to 17 years of directly related experience, preferably in Life Sciences with managerial experience and clinical/medical research expertise in a biotech/pharmaceutical/CRO setting.,

As a data and analytics engineering professional at PwC, your primary focus will be on leveraging advanced technologies and techniques to design and develop robust data solutions for our clients. You will play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and ultimately driving business growth. In the realm of artificial intelligence and machine learning, your responsibilities will involve developing and implementing advanced AI and ML solutions to foster innovation and enhance business processes. Your work will encompass designing and optimizing algorithms, models, and systems to facilitate intelligent decision-making and automation. Candidates with 15+ years of hands-on experience are preferred for this role. Essential requirements for this position include familiarity with the CCaaS domain, contact center operations, customer experience metrics, and industry-specific challenges. You should also possess a solid understanding of conversational data (chats, emails, and calls) to train Conversational AI systems. In-depth knowledge of CCaaS platforms such as NiceCX, Genesys, and Cisco, including their architecture, functionalities, and integration capabilities, is crucial. Proficiency in contact center metrics like average handle time (AHT), first call resolution (FCR), and customer satisfaction (CSAT) is necessary. Additionally, familiarity with sentiment analysis, topic modeling, and text classification techniques, as well as proficiency in data visualization tools like Tableau, Power BI, and Quicksight, is required. An understanding of cloud platforms (e.g., AWS, Azure, Google Cloud) and their services for scalable data storage, processing, and analytics is essential. Expertise in NLU verticals such as ASR generation, SSML modeling, Intent Analytics, conversational AI testing, Agent Assist, Proactive Outreach Orchestration, and Generative AI is highly valued. You will also be expected to apply advanced statistical and machine learning techniques to analyze large datasets and develop predictive models and algorithms to enhance contact center performance. Preferred qualifications include proficiency in programming languages such as Python, Pyspark, R, and SQL, as well as a strong understanding of data science principles, statistical analysis, and machine learning techniques. Experience in predictive modeling, along with skills in techniques like regression analysis, time series forecasting, clustering, and NLP techniques, is advantageous. Knowledge of distributed computing frameworks like Hadoop and Spark for processing large volumes of data is beneficial. An understanding of NoSQL databases (e.g., MongoDB, Cassandra) for handling unstructured and semi-structured data is also preferred. Awareness of data security best practices, encryption techniques, and compliance regulations (e.g., GDPR, CCPA), as well as an understanding of ethical considerations in data science and responsible AI practices, will be beneficial. The ideal educational background for this role includes a degree in BE, B.Tech, MCA, M.Sc, M.E, M.Tech, or MBA.,

Key Responsibilities: Apply statistical methods to analyze large and complex datasets. Develop, validate, and interpret statistical models to support informed business decisions. Provide clear, actionable insights and recommendations based on data analysis. Required Qualifications: Minimum 3 years of experience as a statistician, data analyst, or in a related role. Strong proficiency with statistical software tools such as R, SPSS, SAS, or equivalents. Excellent analytical, problem-solving, and critical thinking skills.

Role & responsibilities Technical Requirements (what) Advanced knowledge of data analysis and modeling principles: KPI Tree creation, Reporting best practices, predictive analytics, statistical and ML based modeling techniques Work Experience of 20+ years in analytics inclusive of 5+ years of experience of leading a team. Candidates from Insurance Industry are preferred. Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business units. Strong problem solving, quantitative and analytical abilities. Strong ability to plan and manage numerous processes, people, and projects simultaneously. The right candidate will also be proficient and experienced with the following tools/programs: Experience with working on big data environments: Teradata, Aster, Hadoop. Experience with testing tools such as Adobe Test & Target. Experience with data visualization tools: Tableau, Raw, chart.js. Experience with Adobe Analytics and other analytics tools. Preferred candidate profile Perks and benefits

Job Description Responsible for Incoming inspection and Purchasing Quality Assurance, Claims Management at Bosch, Gangaikondan (GanP) plant. 1. Responsible for Purchase Quality Assurance -Complaint Management and Single Point Of Contact for Value Stream 2. Enable a clear supplier quality improvement strategy along other stake holders based on the quality performance trends, gap analysis, focus areas for poor quality contributing suppliers. 3. Drive Preventive measures for series components Q-issues & Top contributors, Negotiations for high defect cost recovery due to supplier part Q issue. 4. Experience in Extensive use of Q Tools and complete Awareness of 8D Steps of Problem Solving. 5. Complaint investigation by various measurement techniques. 6. New Initiatives & innovations to improve speed & efficiency in the Process through automation. 7. Conduct measurements, inspections, and tests to verify product specifications and identify defects or deviations. 8. Participate in new product development projects, providing input on quality and measurement requirements Qualifications BE in Mechanical Engineering / Industrial Engineering / Automobile Engineering. Additional Information Competencies Required: 1. Ability to read and understand Engineering drawings and BoM 2. Competent in planning ofmeasurements with first principles and gauges 3. Knowledge on usage of FMR like CMM, O-Inspect, Form tester etc. 4. Know-how on complaint handling, 8D methodology, Statistical techniques including GRR. 5. PPAP procedure 6. Working Experience in SAP-QM module. 7. Proficiency is MS Power BI or other data analytics tools 8. Proficiency in MS-Office.

Dear Candidate Greetings from A2Z HR Consultants !!!!!!!! We are hiring for one of the renowned Web Software company based in Noida Number of working days: 5 Shift Timings: Day Shifts Salary: upto 32 LPA Profile: AI/ ML Engineer Experience Required: Min 5 Years **** Work from Office only Job Summary: Join our forward-thinking team to pioneer cutting-edge AI solutions that transform industries. We seek an AI Expert with 5+ years of experience in Python, machine learning, and large language models (LLMs), paired with robust MLOps expertise. You will architect, optimize, and deploy scalable AI systems, focusing on LLM fine-tuning (e.g., Llama, GPT, Mistral), Retrieval-Augmented Generation (RAG), and production-grade deployment on AWS . If you thrive on solving complex challenges, driving ethical AI innovation, and leading cross-functional teams, this role is for you. Key Responsibilities: Design, develop, and deploy AI/ML models using Python and relevant frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Optimize and fine-tune machine learning algorithms for performance, scalability, and accuracy. Work with large datasets to extract insights, preprocess data, and build predictive models. Develop and integrate AI-powered solutions into applications, including natural language processing (NLP), computer vision, and deep learning systems. Architect, fine-tune, and deploy large language models (LLMs) for various use cases such as chatbots, text generation, summarization, and document understanding. Implement retrieval-augmented generation (RAG) techniques to enhance LLM capabilities. Research and apply model compression techniques such as quantization and distillation to optimize LLM deployment. Leverage embeddings, knowledge graphs, and vector databases for efficient information retrieval and AI-driven insights. Develop robust MLOps/LLMOps pipelines for model versioning, monitoring, and CI/CD integration. Deploy AI models in cloud environments (GCP Vertex AI, AWS SageMaker, Azure ML) and optimize inference cost-performance trade-offs. Utilize containerization and orchestration tools such as Docker, Kubernetes, and Kubeflow for scalable AI deployments. Stay updated on the latest AI advancements and integrate emerging technologies into production systems. Ensure AI model interpretability, fairness, and adherence to ethical AI principles. Participate in code reviews, debugging, and troubleshooting of AI models and pipelines. Required Qualifications & Skills: Education: Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Experience: 5+ years of hands-on experience in AI, machine learning, or deep learning projects. Programming: Strong proficiency in Python and its AI/ML libraries (NumPy, Pandas, TensorFlow, PyTorch, Scikit-learn, etc.). LLM Expertise: Hands-on experience with LLMs such as OpenAIs GPT, Llama, Mistral, Gemini, PaLM, or similar frameworks. Fine-Tuning & Optimization: Experience fine-tuning LLMs, optimizing for cost-performance balance, and utilizing techniques like LoRA, PEFT, and RLHF. NLP & Deep Learning: Expertise in NLP model training, transformer-based architectures (BERT, T5, GPT, etc.), and model evaluation techniques. MLOps & LLMOps: Experience with model lifecycle management, monitoring, CI/CD pipelines, and cloud-based model deployment. Cloud & Deployment: Proficiency in deploying AI models on Google Cloud (Vertex AI), AWS, or Azure. Containerization & Orchestration: Experience with Docker, Kubernetes, and Kubeflow for AI model deployment. Data Engineering: Knowledge of data preprocessing, feature engineering, and handling large-scale datasets efficiently. Prompt Engineering: Strong understanding of prompt design, embedding generation, and model evaluation metrics for LLMs. Security & Ethics: Familiarity with AI security best practices, data privacy, and responsible AI principles. Interested candidates can reach out at 9711831492 or share your resume at gaurav.a2zhrconsultants@gmail.com Candidates who are already on Notice period or immediately available shall apply only. Regards Gaurav Kumar A2Z HR Consultants 9711831492