63 Statistical Jobs - Page 3

You will be responsible for executing model validation activities, such as validation, annual review, ongoing monitoring, findings management, and model use approvals for low- and moderate-risk models. Additionally, you may assist in testing and validation of higher risk models, review the conceptual soundness of models, and assess limitations and suitability for use. It is essential to have knowledge in one or more key model areas including Artificial Intelligence/Machine Learning, Statistical and Stochastic processes, or Insurance and Actuarial Modeling. Your key responsibilities will include conducting finding closures, annual reviews of low-, moderate-, and high-risk models. You will be ...

As a senior data consultant, you will serve as a trusted advisor and subject matter expert, utilizing data to drive actionable business insights. Your role involves leading client engagements, delivering high-quality data solutions, and collaborating with sales teams to create accelerators, architectural artifacts, and pre-sales assets for RFPs. In this position, you will lead strategic data consulting projects, working directly with clients to design and implement data-driven solutions. You will be responsible for developing and maintaining a library of accelerators, frameworks, and artifacts to support sales proposals and RFP responses. Additionally, you will collaborate with cross-functio...

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 a...

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...

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...

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 extraordina...

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 ...

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. Can...

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 an...

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. Com...

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)...

Sensor data or IoT-based environmental monitoring systems Algorithm Development Signal Processing Sensor/Statistical Analysis Python (pandas, NumPy, scikit-learn) Cloud/Embedded System Integration Anomaly Detection Environmental Monitoring Systems