1971 Statistical Modeling Jobs - Page 14

Role Overview: As a Data Science Associate Director at Accenture Strategy & Consulting's Global Network Data & AI practice in the Resources team, your role will involve collaborating with clients and stakeholders to drive business growth and identify new opportunities. You will be responsible for solution architecting, designing, building, deploying, delivering, and monitoring advanced analytics models to address various client problems. Your strategic mindset will play a crucial role in translating engineering and business problems into analytics challenges to deliver actionable insights and operational enhancements. Key Responsibilities: - Interface with clients and account teams to unders...

Role Overview: You will be joining as a Data Science Analyst within the GWFO team. Your role will involve utilizing your specialized knowledge in machine learning, statistical modeling, and data analysis to assess processes, evaluate data, and identify opportunities for leveraging advanced analytics. You will work towards improving business outcomes, automating processes, and generating actionable insights. Additionally, you will contribute to the development and deployment of innovative AI solutions, collaborating with cross-functional stakeholders. Key Responsibilities: - Gather and process operational data from various cross-functional stakeholders to analyze past business performance and...

As a data analyst at PwC, your primary role involves utilizing advanced analytical methods to extract insights from extensive datasets, thereby enabling data-driven decision-making. Your responsibilities will include: - Leveraging skills in data manipulation, visualization, and statistical modeling to support clients in resolving intricate business challenges. - Building meaningful client relationships and learning to manage and inspire others. - Enhancing your personal brand, deepening your technical expertise, and becoming more aware of your strengths. - Anticipating the needs of your teams and clients while consistently delivering quality results. - Embracing ambiguity and uncertainty, ac...

Hi all, We are hiring for the role Data Scientist Experience: 6 - 9 Years Location: Bangalore Notice Period: Immediate - 15 Days Only Skills: Skills Needed: Strong knowledge of Applied AI ML & Deep Learning Data Science techniques, Hardcore in ANN / Deep Learning /Machine Learning/NLP Deep knowledge about machine learning algorithms such as tree-based methods, clustering, regression and classification, dimension reduction techniques, linear regression, Logistic regression, k-means, time series forecasting , Hypothesis testing ( ANOVA , t-test, etc.), random forest, SVMs, Naive Bayes, gradient boosting, kNN, Deep learning algorithms like CNN, ANN and Reinforcement learning, Anomaly detection....

About the team: Paytm Ads is Paytm''s digital advertising vertical that offers innovative ad solutions to clients across industries It offers advertisers the opportunity to engage with 300Mn+ users who interact with over 200 payment & retail services, online and offline - offered on the Paytm app. Paytm Ads maps the user transactions to their lifestyle choices and creates customized segmentation cohorts for sharp shooting ad campaigns to the most relevant TG. Expectations/ Requirements We are hiring for the role of Government Ad Sales for FMCG, Consumer. Internet, Gaming verticals. The responsibilities would be as follows: Become an expert in Paytm Ads solutions for businesses of all sizes a...

Roles and Responsibilities Develop credit risk models using SAS, SQL, and statistical modeling techniques to predict defaults, losses, and other credit-related metrics. Collaborate with cross-functional teams to design and implement effective credit risk strategies that meet business objectives. Conduct stress testing and scenario analysis to identify potential risks and opportunities for growth. Provide data insights and recommendations to stakeholders on loss forecasting, scorecards, and portfolio performance. Desired Candidate Profile 2+ years of experience in Credit Risk Modelling/Analytics or related field. Strong expertise in Basel II/III regulations, CECL/CCAR requirements under IFRS9...

Salary : 40 to 55 LPA Exp: 8 to 12 years Location :Gurugram Hybrid Notice: Immediate to 30 days..!! Roles & responsibilities: 7+ years exp on Python , ML and model development Interact with the client to understand their requirements and communicate / brainstorm solutions, model Development: Design, build, and implement credit risk model. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 8+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovative data and machine le...

Salary : 20 to 35 LPA Exp: 3 to 8 years Location :/Gurugram/Bangalore/Hyderabad Notice: Immediate to 30 days..!! Roles & responsibilities: 3+ years exp on Python , ML and Banking model development Interact with the client to understand their requirements and communicate / brainstorm solutions, model Development: Design, build, and implement credit risk model. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 3+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovativ...

We are seeking a highly skilled and motivated Senior Data Scientist to join our dynamic team. In this role, you will leverage your advanced analytical and technical expertise to solve complex business problems and drive impactful data-driven decisions. You will design, develop, and deploy sophisticated machine learning models, conduct in-depth data analyses, and collaborate with cross-functional teams to deliver actionable insights. Responsibilities: Design and implement RAG pipelines using LangChain and LangGraph. Integrate AWS Open Source Vector Databases (e.g., OpenSearch with KNN plugin). Handle complex query chaining, prompt orchestration. Work with graph-based knowledge representations...

Role & responsibilities The Assistant Manager/Deputy Manager Business Analysis is responsible for solving unstructured business problems using advanced analytics, developing data-driven strategies to improve profitability and processes in the collections business , and presenting insights to global leadership. The role includes both technical analytics execution and strategic implementation ownership with VP-level stakeholder interaction. PRINCIPAL RESPONSIBILITIES Coach new team members on technical skills and business knowledge Develop and implement analytics best practices and knowledge management practices Makes recommendations to improve business profitability or processes. Estimate opp...

Zonal Manager - Credit Job Purpose Risk Management is core to Bajaj Finance. Most of the decisions in Risk Management are data driven and analytical. Statistical models are required to look at multi-variate dimensions from a risk perspective, including calculating the expected credit loss, scenario analysis, forecasting, stress testing, etc. Statistical models are built and scorecards are prepared which assess parameters like PD (probability of default), EAD, and LGD, which are critical from a regulatory perspective and form an important aspect of regulatory reporting. This role provides an opportunity for deeper insights into regulatory norms on credit risk. The role allows the candidate to...

Project description We are seeking a highly skilled and motivated Data Scientist with 5+ years of experience to join our team. The ideal candidate will bring strong data science, programming, and data engineering expertise, along with hands-on experience in generative AI, large language models, and modern LLM application frameworks. This role also demands excellent communication and stakeholder management skills to collaborate effectively across business units. Responsibilities We are seeking a highly skilled and motivated Data Scientist with 5+ years of experience to join our team. The ideal candidate will bring strong data science, programming, and data engineering expertise, along with ha...

Role Overview: Alaan is looking for a highly analytical and detail-oriented Fraud & Risk Data Analyst to join their Risk & Compliance team. As a Fraud & Risk Data Analyst, you will be responsible for monitoring, analyzing, and investigating unusual patterns in customer and transaction data to identify potential fraudulent activities. Your role will involve developing and maintaining dashboards, reports, and models to track fraud trends, risk exposure, and key performance indicators. Additionally, you will work closely with risk, compliance, and product teams to strengthen fraud detection rules, scoring models, and prevention strategies. Your contribution will be crucial in evaluating the eff...

Job Description: As a Data Analytics at Capgemini, you will have the opportunity to shape your career and contribute to the development and maintenance of various software products. Your key responsibilities will include: - Creating effective data visualizations and dashboards using Power BI - Applying statistical modeling and analysis frameworks to gain insights from collected data and develop predictive data models - Cleaning up and classifying datasets, applying transformations, and ensuring compliance with data dictionaries - Running queries against corporate data sets to answer business questions - Conducting exploratory analysis to uncover trends and insights - Troubleshooting issues w...

As a Demand Planner, your role will involve developing short-term, medium-term, and long-term demand forecasts at SKU/channel/region level using statistical models and market intelligence. You will review historical sales trends, seasonality patterns, promotional plans, and new product launches to build robust forecasts. It is essential to consolidate the SKU level forecasts from sales functions/sales head/Channel heads in Planning tool for short term plan (3 months) & long-term plan (12 months) and marry the plan with the AOP, historical sales & enrich with marketing inputs. You will partner with Sales, Marketing, and Category teams to incorporate trade insights, marketing campaigns, and di...

Role Overview: As a Demand Planning Analyst in the Procurement department, you will be responsible for creating and maintaining forecast models for customers. You will work closely with various departments such as sales, marketing, finance, and supply chain to ensure accurate demand forecasting. Additionally, you will lead discussions on meeting customer demand and participate in the monthly Sales and Operations Planning (S&OP) process. Key Responsibilities: - Develop demand forecasts at SKU level based on historical trends - Utilize and upkeep the Infor DP database - Contribute to the development of statistical forecast models to optimize market demand while maintaining customer service lev...

Hiring Marketing Analytics professional (5–8 yrs) for global lending client. Role includes strong SQL, campaign measurement, A/B testing, segmentation, SQL, regression, Tableau/BI dashboards, and insights delivery to senior stakeholders

Job DescriptionKey Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation.Keywordsmachine learning,artificial intelligence,data science,python,deep learning,natural language processing,AI research,AI development*

About The Role TBD Qualification TBD

We are looking for a skilled Data Science Manager with 6 to 11 years of experience to join our team at Accenture Solutions Pvt Ltd, located in [location to be specified]. The ideal candidate will have a strong background in data science and AI. Roles and Responsibility Lead the development and implementation of data-driven solutions using AI and machine learning techniques. Collaborate with cross-functional teams to design and deploy scalable data pipelines and architectures. Develop and maintain large-scale data systems and infrastructure to support business intelligence and analytics. Design and implement predictive models and algorithms to drive business growth and improvement. Work close...

About The Role Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Microsoft Azure IaaS Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure that application development aligns with business objectives, overseeing project timelines, and facilitating communication among stakeholders ...

CAT Modelling 2+ Years exp ( on paper Cat modelling) Upto 7LPA Immediate Joiners to 30 Days Flexible with Shifts Skills: Modeling expertise in RMS RiskLink/AIR Touchstone, catastrophe modeling, Data Cleasing mansikohliimaginator@gmail.com Required Candidate profile Good working knowledge of SQL, MS-Office Word, Excel and Access Strong analytical skills and attention to detail Ability to work independently. Excellent communication skills

Business Analyst skills with experience in Salesforce or other CRM platforms preferred

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization.Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth.Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning.Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation. Mandatory Key Skills - machine learning,data science,python,deep learning,natural language processing,sql,neural networks,predictive modeling,R,Artificial intelligence.

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation. Mandatory Key Skills machine learning,artificial intelligence,data science,python,deep learning,natural language processing,AI research,AI development