1971 Statistical Modeling Jobs - Page 32

Ruby Seven Studios is seeking an experienced Game Economy Designer to craft engaging and enriching social casino gaming experiences for players worldwide. As the Game Economy Designer, you will be responsible for designing and managing the in-game economies to ensure an optimal balance between player experience and monetization. Your role will involve designing and developing compelling economy models for games, creating and balancing in-app currencies, progression curves, reward structures, and monetization systems. You will utilize data modeling and player segmentation to forecast behavioral trends, evaluate the impact of new features, and continuously iterate on game economy design based ...

The Quantitative Sr. Analyst role is a seasoned professional position where you will apply your in-depth disciplinary knowledge to contribute to the development of new techniques and enhance processes and workflow within the defined area. Your expertise will be essential in integrating subject matter and industry knowledge to drive the objectives of the function and overall business. You will evaluate moderately complex issues, weighing various alternatives and balancing conflicting situations using multiple sources of information. Strong analytical skills are required to filter, prioritize, and validate potentially dynamic material from various sources. Effective communication and diplomacy...

As a Modeling Analytics Senior Associate in the Credit Card Loss Forecasting within the Consumer & Business Banking (CCB) Risk Management group, you will be responsible for leading credit forecasting for the $220B credit card portfolio. This role requires strong data analytical knowledge and skills to generate short- and long-term loss forecasts and perform attribution analysis. The role encompasses all aspects of loss forecasting, including CCAR, CECL, Budgets, and Risk Appetite. This is an exciting opportunity to work on high-impact strategy initiatives as they become the key focus of the firm and across the financial services industry. You will excel at creative thinking and problem-solvi...

You have 8+ years of experience and are looking for Senior AIML professionals with expertise in Generative AI, preferably from premier organizations. You should have 10+ years of experience in Data Science with at least two production deployments of Generative AI solutions and exposure to the Agentic AI framework. Your expertise should cover areas such as Robotics, Multiagent Systems, Automated Planning & Scheduling, Intelligence & Orchestration, as well as AI & ML concepts like Supervised & Unsupervised Learning, Neural Networks, Large Language Models (LLMs), Full-stack Software Engineering, and System Design. You should be proficient in tools like Python, FastAPI, Ollama, RDMS (PostgreSQL)...

A. Position Summary Required candidates with around 5-6 years of working experience preferably in the valuation function of a life insurance company, having cleared at least 5 actuarial exams. The candidate is expected to perform monthly valuation work to comply with Indian GAAP and IRDAI regulatory requirements. Alongside, the candidate is also expected to support the implementation of IFRS 17. B. Key Responsibilities Perform monthly valuation work per Indian Statutory requirements, prepare necessary summary reports of the monthly valuation results and explain movements in reserves. Perform monthly and quarterly solvency margin calculations in accordance with IRDAI requirements. Identify In...

Lead the Data Science & AI function of the company to drive business impact through advanced analytics and AI solutions. You'll be overseeing end-to-end data strategy, and deliver insights across domains like commercial, operations, supply chain, and finance. Preferred candidate profile Should be able to understand business problems and solve them through data science. Should be good in statistics having hands on experience of more than 5 years. Should have affinity towards playing around the numbers and data. Business knowledge of CPG Industry Should have worked on Revenue growth Management use cases like Forecasting, Trade Promotion, Product assortment etc Should have experience and passio...

Position Purpose Your work will span across multiple areas, including predictive modelling, automation and process optimization. We use AI to discover patterns, classify information, and predict likelihoods. Our team works on building, refining, testing, and deploying these models to support various business use cases, ultimately driving business value and innovation. As a Data Scientist on our team, you can expect to work on challenging projects, collaborate with stakeholders to identify business problems, and have the opportunity to learn and grow with our team. A typical day may involve working on model development, meeting with stakeholders to discuss project requirements/updates, and br...

PRIMARY FUNCTION The position is responsible for leading the execution and delivering results for the Sales and Operations Planning (S&OP): Replenishment function based in India. This includes managing a team of analysts and ensuring the successful delivery of weekly routines and key S&OP projects. The role involves overseeing high-quality analytics and automation initiatives, guiding the team through a complex data environment, and applying advanced statistical techniques to enhance forecasting models and address business challenges. This position requires strong communication and problem-solving skills, with the confidence to identify improvement opportunities and constructively challenge ...

We are seeking passionate Data Scientists interested in collaborating with a US Startup. If you are enthusiastic about creating machine learning solutions using Python and are eager to gain experience in a Startup environment, this position offers the flexibility to work from any location with a stable internet connection. Forget about long commutes and in-person meetings work remotely from your preferred spot, whether it's a vacation spot or a peaceful farm in the countryside. If you are ready to work diligently and enjoy your time off, we are excited to have you join our team. Candidates applying for this position are required to complete a pre-screening behavioral assessment form as part ...

The Vice President Data will be a key member of the executive team, responsible for shaping the organization's data strategy, driving actionable insights, and fostering a culture of data-driven decision-making. You will combine deep technical expertise with strategic thinking and proven leadership capabilities. Your responsibilities will include: Strategic Leadership: Defining and executing the enterprise-wide data analytics strategy aligned with business goals and innovation priorities. Team Development: Building, mentoring, and leading a high-performance analytics team comprising data scientists, analysts, and BI developers. Data-Driven Transformation: Driving the organization's transition...

As a Business Intelligence Expert at Fiserv, your main responsibility is to utilize data analysis tools and techniques to facilitate informed decision-making within the organization. You will be tasked with gathering and processing large volumes of data from various sources, analyzing it to identify patterns and trends, and presenting actionable insights through reports, dashboards, and visualizations to aid in strategic planning and decision-making. Your key duties will include developing predictive models, evaluating performance, and conducting data mining to improve operational efficiency, identify growth opportunities, and deliver valuable insights. You will be expected to excel in data ...

The Spec Analytics Intmd Analyst role is a developing professional position where you will tackle most problems independently with some flexibility to solve complex issues. By integrating in-depth specialty area knowledge with a solid understanding of industry standards and practices, you will contribute to the team's objectives within the sub function/job family. Your analytical thinking and proficiency in data analysis tools and methodologies will be essential. Attention to detail is crucial when making judgments and recommendations based on factual information. You will deal with variable issues that may have broader business impact and will need to apply professional judgment when interp...

As an Operations Research Scientist at GreyOrange, you will be responsible for designing, developing, and implementing advanced models and algorithms to improve decision-making processes across various business functions. Your role will involve collaborating with cross-functional teams, including product development and engineering, to optimize processes, enhance product performance, and solve complex problems using mathematical and computational methods. The ideal candidate for this position should have a deep understanding of optimization, statistical modeling, and machine learning, along with a passion for addressing real-world challenges in a high-tech environment. You will be expected t...

Seeking a highly creative and meticulous Senior Data Analyst who will be responsible for all design requirements for leader communications. Reporting to the Manager Communications, you must understand the design process and liaise with multiple stakeholders to deliver in-house design requirements. Additionally, you will coordinate with external agencies to ensure brand guidelines are followed. The Senior Data Analyst plays a critical role in transforming complex datasets into actionable insights that support strategic business decisions. This role involves advanced data analysis, visualization, and collaboration with cross-functional teams to address high-impact business challenges. Furtherm...

The Data Analytics Senior Analyst role at our organization is a key position that requires a seasoned professional with in-depth disciplinary knowledge and expertise. In this role, you will contribute to the development of new techniques and processes, as well as optimize workflows for the specific area or function you are assigned to. By integrating subject matter expertise and industry knowledge within a defined area, you will play a crucial role in driving the overall objectives of the function and the business. Your responsibilities will involve evaluating moderately complex issues with significant potential impact, where your analytical skills will be essential in filtering, prioritizin...

The Data Analytics Sr Lead Analyst is a strategic professional who closely follows the latest trends in the field of data analytics and adapts them for application within their own job and the business. You will be part of a select group of individuals within the organization that provide a high level of expertise. Excellent communication skills are essential for this role as you will be required to negotiate internally, often at a senior level. Developed communication and diplomacy skills are necessary to guide, influence, and convince others, especially colleagues from different areas and occasional external customers. You will be held accountable for significant direct business results or...

As an Asset Predictive Analytics (APA) Specialist, your primary responsibility will be to implement predictive analytics solutions for major rotating and static equipment in industrial sectors, such as compressors, pumps, gas turbines, steam turbines, motors, blowers, fans, heaters, columns, transformers, and heat exchangers. You will be tasked with collecting and analyzing data from various sources, developing predictive models using machine learning algorithms, and optimizing maintenance schedules to prevent unplanned downtime. Your qualifications should include a B.E/B.Tech degree in Mechanical or Chemical Engineering from a recognized university, along with a minimum of 5 years of experi...

Established in 1986, Sutherland is a global provider of business process and technology management services offering an integrated portfolio of analytics-driven back-office and customer facing solutions that support the entire customer lifecycle. As a process transformation company, Sutherland rethinks and rebuilds processes for the digital age by combining the speed and insight of design thinking with the scale and accuracy of data analytics. Sutherland has been helping customers across industries from financial services to healthcare achieve greater agility through transformed and automated customer experiences for over 30+ years. We are currently looking for a skilled and experienced Mach...

You are a highly skilled and experienced Machine Learning Modeling Lead being sought to join the ML Model Innovation team in the banking domain, particularly in retail transactional and lending areas. Your main responsibility will be to lead the development and deployment of machine learning models that drive crucial business decisions such as collections models, credit risk scoring, fraud detection, customer segmentation, and personalized financial services. You are required to possess a strong understanding of banking business, data, and domain, covering the customer lifecycle as well as bureau/external data. Collaboration with cross-functional teams and providing technical leadership to o...

As a Data Science Subject Matter Expert (SME) at Citi, you will play a crucial role in applying advanced data science techniques to enhance the control environment. Your primary responsibility will involve leading data analysis and modeling efforts to identify opportunities for improving control processes and mitigating risks. Leveraging your expertise, you will develop and implement cutting-edge machine learning and AI algorithms to automate tasks, enhance decision-making, and increase overall control effectiveness. In addition, you will design and build innovative AI solutions using generative AI and agentic AI frameworks tailored for Control Automation. Furthermore, as a subject matter ex...

Role & responsibilit 1. 4 - 6 years of relevant analytics experience in banks, NBFCs, Fintechs, consultancies. 2. Lead end to end execution of analytical requirements including model development, implementation & stakeholder communication. 3. Strong understanding of ML algorithms and statistical modelling to address problems predominantly in BFSI domain. 4. Articulate complex data science models / analysis to relevant audience and effectively present the solution in a concise & neat manner. 5. Design, prototype, build & maintain frameworks for consumption of machine learning models at scale. 6. Perform feature engineering through extracting meaningful features from traditional and alternate ...

Company: Marsh Description: We are seeking a talented individual to join our Actuarial team at Marsh Mc Lennan. This role will be based in Mumbai. This is a hybrid role that has a requirement of working at least three days a week in the office Business Title Lead Specialist - Actuarial No. Of Roles1 LocationMumbai Last Date to Apply 18th June We will count on you to: Deliver internal and client-facing climate modelling projects within the APAC region. Contribute to the interpretation of catastrophic events within the framework of climate variability. Conduct data analysis and statistical modeling of climate trends and signals related to long-term climate change, ensuring accurate documentati...

Project Role : Application Support Engineer Project Role Description : Act as software detectives, provide a dynamic service identifying and solving issues within multiple components of critical business systems. Must have skills : OpenShift Virtualization Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Support Engineer, you will act as software detectives, providing a dynamic service that identifies and resolves issues within various components of critical business systems. Your typical day will involve collaborating with team members to troubleshoot problems, analyzing system performance...

Role & responsibilities Proven ability in algorithm development targeting business and technical use cases. Hands-on experience with fine-tuning in frameworks like PyTorch, TensorFlow, or Hugging Face. Practical knowledge of LangChain and LangGraph for agent and workflow development. Proficiency in developing, optimizing, and querying vector databases (FAISS, Pinecone, Weaviate) for retrieval-augmented generation (RAG) and semantic search. Strong Python programming and experience with experimentation tools and performance benchmarks. Fluency in statistical analysis, feature engineering, and exploratory data analysis. Preferred: Experience with agent-based orchestration and multi-agent archit...

Job Summary: We are looking for an experienced Data Scientist who is passionate about uncovering insights from data and delivering scalable data-driven solutions. The ideal candidate will have a strong foundation in machine learning , statistics, and programming, and will play a critical role in transforming complex datasets into actionable intelligence. Key Responsibilities: Design and implement machine learning models and data science solutions for predictive analytics, classification, and clustering problems. Collaborate with data engineers and software developers to deploy ML models in production environments. Conduct data wrangling , exploratory data analysis (EDA) , and data visualizat...