387 Statistical Modeling Jobs - Page 5

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 framework. Proficiency in programming languages such as Python/R/SAS; strong understanding of machine learning algorithms an added advantage.

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 framework. Proficiency in programming languages such as Python/R/SAS; strong understanding of machine learning algorithms an added advantage.

Salary : 20 to 35 LPA Exp: 3 to 8 years Location :Noida/Gurugram/Bangalore 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 innovative data and machine learning solutions to accelerate our business. Create experiments and prototype implementations of new learning algorithms and prediction techniques Collaborate with product managers, and stockholders to design and implement software solutions for science problems Use machine learning best practices to ensure a high standard of quality for all of the team deliverables Has experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorization Hands-on experience with IFRS 9 models and regulations. Data Analysis: Analyze large datasets to identify trends and risk factors, ensuring data quality and integrity. Statistical Analysis: Utilize advanced statistical methods to build robust models, leveraging expertise in R programming. Collaboration: Work closely with data scientists, business analysts, and other stakeholders to align models with business needs. Continuous Improvement: Stay updated with the latest methodologies and tools in credit risk modeling and R programming.

Advertising at Amazon is a fast-growing multi-billion dollar business that spans across desktop, mobile and connected devices; encompasses ads on Amazon and a vast network of hundreds of thousands of third party publishers; and extends across US, EU and an increasing number of international geographies. One of the key focus areas is Traffic Quality where we endeavour to identify non-human and invalid traffic within programmatic ad sources, and weed them out to ensure a high quality advertising marketplace. We do this by building machine learning and optimization algorithms that operate at scale, and leverage nuanced features about user, context, and creative engagement to determine the validity of traffic. The challenge is to stay one step ahead by investing in deep analytics and developing new algorithms that address emergent attack vectors in a structured and scalable fashion. We are committed to building a long-term traffic quality solution that encompasses all Amazon advertising channels and provides industry leading traffic filtering leveraging GenAI and state-of-the-art deep learning techniques. Our systems preserve advertiser trust and saves them hundreds of millions of dollars of wasted spend. A Data Scientist is responsible for delivering deep data-driven analyses with insights that drive the business. They would use a combination of analytics, data visualization and machine learning to identify gaps in current solutions as well as prototype new algorithms that close the gaps. The ideal candidate should have strong experience in dive deep analytics and data visualization, thorough knowledge of statistical techniques and strong breadth in machine learning. The candidate should also have good programming and design skills to implement machine learnings algorithms in practice on massive unstructured datasets. 3+ years of data scientist experience 4+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience Experience applying theoretical models in an applied environment Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab) Experience with big data: processing, filtering, and presenting large quantities (100K to Millions of rows) of data Experience in a ML or data scientist role with a large technology company Experience in Computational Advertising

What You'll Do The Senior Manager, Technical Support , reporting to the Director of Global Support Operations, will lead a team of support professionals to deliver exceptional technical assistance to customers. This role manages daily operations, optimizes support processes, and drives cross-functional collaboration to enhance customer satisfaction. Additionally, the Senior Manager will help shape and implement strategies to improve support services and elevate the overall customer experience. What Your Responsibilities Will Be Team Leadership You will lead a team of technical support professionals, including first-line managers and leads Set performance goals, conduct evaluations, and foster a collaborative, high-performing team culture Technical Support Operations You will oversee daily support operations to ensure effective issue resolution Implement and increase support processes to drive efficiency and meet SLA targets Collaborate with global teams to improve KPIs and enhance the customer experience Customer Interaction You will manage escalations, providing expert guidance to resolve complex technical issues Engage with customers to understand challenges, identify root causes, and deliver effective solutions Communicate technical concepts clearly to both technical and non-technical stakeholders Cross-Functional Collaboration You will partner with product, sales, marketing, and training teams to share insights and improve product and service delivery Align support strategies with our goals through active participation in cross-functional initiatives Performance and Reporting You will analyze support metrics and customer feedback to identify trends and improvement opportunities Deliver regular performance reports and insights to senior leadership Continuous Improvement You should champion initiatives that improve support quality, efficiency, and customer satisfaction Stay current with industry trends to introduce innovative solutions and best practices What You'll Need to be Successful Bachelor's degree in a relevant technical field (e.g., Computer Science, Information Technology). 12+ years of experience building a technically focused, customer-facing, advanced experience support team and cross-functional collaboration with other teams Exceptional leadership and team management skills, with the ability to motivate and inspire a technical support team. Proficient in CRM platforms (e.g., Salesforce, ServiceNow) and experienced in managing multi-channel support (chat, phone, email, portal) Skilled in support process engineering and service improvement Analytical mindset with the ability to analyze complex technical problems and develop effective solutions. Experience with customer relationship management (CRM) software and support ticketing systems. Excellent knowledge of CRM tools like Salesforce, Service now etc. Flexibility to work in rotational night shifts(Work from office 5 days a week)

Purpose Of The Position: We are looking for a highly experienced Senior Data Scientist with a deep understanding of AI/ML technologies, including Recommendation Systems, Chatbots, Generative AI, and Large Language Models (LLMs). The ideal candidate will have hands-on experience in applying these technologies to solve real-world problems, working with large datasets, and collaborating with cross-functional teams to deliver innovative data-driven solutions.. Key Responsibilities : Design, develop, and optimize recommendation systems to enhance user experience and engagement across platforms. Build and deploy chatbots with advanced NLP capabilities for automating customer interactions and improving business processes. Lead the development of Generative AI solutions, including content generation and automation. Research and apply Large Language Models (LLMs) like GPT, BERT, and others to solve business-specific problems and create innovative solutions. Collaborate with engineering teams to integrate machine learning models into production systems, ensuring scalability and reliability. Perform data exploration, analysis, and feature engineering to improve model performance. Stay updated on the latest advancements in AI and ML technologies, proposing new techniques and tools to enhance our product capabilities. Mentor junior data scientists and engineers, providing guidance on best practices in AI/ML model development and deployment. Collaborate with product managers and business stakeholders to translate business goals into AI-driven solutions. Work on model interpretability, explainability, and ensure models are built in an ethical and responsible manner. Required Skills And Qualifications: 5+ years of experience in data science or machine learning, with a focus on building and deploying AI models. Strong expertise in designing and developing recommendation systems and working with collaborative filtering, matrix factorization, and content-based filtering techniques. Hands-on experience with chatbots using Natural Language Processing (NLP) and conversational AI frameworks. In-depth understanding of Generative AI, including transformer-based models and GANs (Generative Adversarial Networks). Experience working with Large Language Models (LLMs) such as GPT, BERT, T5, etc. Proficiency in machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn. Strong programming skills in Python and libraries such as NumPy, Pandas, Hugging Face, and NLTK. Experience with cloud platforms like AWS, GCP, or Azure for deploying and scaling machine learning models. Solid understanding of data pipelines, ETL processes, and working with large datasets using SQL or NoSQL databases. Knowledge of MLOps and experience deploying models in production environments. Strong problem-solving skills and a deep understanding of statistical methods and algorithms. Preferred Qualifications: Experience with Reinforcement Learning and Recommender Systems personalization techniques. Experience of working with AWS Bedrock services. Familiarity with ethical AI and model bias mitigation techniques. Experience with A/B testing, experimentation, and performance tracking for AI models in production. Prior experience mentoring junior data scientists and leading AI/ML projects. Strong communication and collaboration skills, with the ability to convey complex technical concepts to non-technical stakeholders. Why Join Us? Opportunity to be part of a rapidly growing, innovative product-based company. Collaborate with a talented, driven team focused on building high-quality software solutions. Competitive compensation and benefits package.

What You'll Do Avalara is looking for a strategic, results-oriented professional to join the Global Analytics (GAI) team as Manager Business Insights & Analytics. You will lead a team of business intelligence analysts dedicated to driving Avalaras business growth through insightful analytics, effective modeling, and robust forecasting. Your main responsibilities will include guiding your team in delivering exceptional analytical insights that inform strategic decision-making processes. Applying an understanding of Avalaras business model, SaaS industry dynamics, statistical methodologies, and exploratory data analysis, you and your team will uncover relevant insights that enhance customer experience and lead organizational improvements. Additional responsibilities encompass growth score modelling, forecasting, preparing insightful analyses for senior leadership, and collaborating cross-functionally to support Avalaras strategic growth goals. Your focus on accuracy, efficiency, and strategic alignment will significantly enhance financial transparency, identify growth opportunities, and mitigate business risks. You will have a unique opportunity to influence Avalaras strategic direction through, proactive partner management across global teams, and direct contributions to our roadmap. Your work will have high visibility, significant impact, and long-lasting influence within Avalara. What Your Responsibilities Will Be Conduct in-depth analytical reviews, executive presentations, and business analyses. Lead your team to develop impactful data visualizations, reports, and dashboards using tools such as Power BI or visualization libraries in Python/R. You will provide strategic expertise to promote technological innovation and enhance business insights. Maintain high-quality deliverables, ensuring up-to-date coding practices and comprehensive documentation. Collaborate with partners to define our requirements and manage end-to-end project scopes. Partner cross-functionally on multiple programs, providing clear, strategic, and holistic recommendations. Manage team performance through hiring, mentoring, assigning responsibilities, and recognizing achievements. You will be reporting to Senior Director Data Science Management What You'll Need to be Successful Minimum of 8+ years of relevant experience analyzing complex datasets and translating insights into applicable business recommendations. At least 6+ years of experience managing analytics teams, with previous oversight of finance analysts considered advantageous. Hands-on proficiency in SQL and expertise in visualization tools such as Power BI; experience with statistical modeling. Strong analytical capabilities, including evaluating data integrity, interpreting complex data, and developing strategic recommendations.

**Key Responsibilities** People management - Lead a team of software engineers, DS, DE, MLE, in the design, development, and delivery of software solutions. Program management - Strong program leader that has run program management functions to efficiently deliver ML projects to production and manage its operations. Work with Business stakeholders & customers in the Retail Business domain to execute the product vision using the power of AI/ML. Scope out the business requirements by performing necessary data-driven statistical analysis. Set goals and, objectives using proper business metrics and constraints. Conduct exploratory analysis on large volumes of data, understand the statistical shape, and use the right visuals to drive & present the analysis. Analyse and extract relevant information from large amounts of data and derive useful insights on a big-data scale. Create labelling manuals and work with labellers to manage ground truth data and perform feature engineering as needed. Work with software engineering teams, data engineers and ML operations team (Data Labellers, Auditors) to deliver production systems with your deep learning models. Select the right model, train, validate, test, optimise neural net models and keep improving our image and text processing models. Architecturally optimize the deep learning models for efficient inference, reduce latency, improve throughput, reduce memory footprint without sacrificing model accuracy. Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation. Create and enhance model monitoring system that could measure data distribution shifts, alert when model performance degrades in production. Streamline ML operations by envisioning human in the loop kind of workflows, collect necessary labels/audit information from these workflows/processes, that can feed into improved training and algorithm development process. Maintain multiple versions of the model and ensure the controlled release of models. Manage and mentor junior data scientists, providing guidance on best practices in data science methodologies and project execution. Lead cross-functional teams in the delivery of data-driven projects, ensuring alignment with business goals and timelines. Collaborate with stakeholders to define project objectives, deliverables, and timelines. **Skills required: ** MS/PhD from reputed institution with a delivery focus. 5+ years of experience in data science, with a proven track record of delivering impactful data-driven solutions. Delivered AI/ML products/features to production. Seen the complete cycle from Scoping & analysis, Data Ops, Modelling, MLOps, Post deployment analysis. Experts in Supervised and Semi-Supervised learning techniques. Hands-on in ML Frameworks - Pytorch or TensorFlow. Hands-on in Deep learning models. Developed and fine-tuned Transformer based models. ( Input output metric, Sampling technique) Deep understanding of Transformers, GNN models and its related math & internals. Exhibit high coding standards and create production quality code with maximum efficiency. Hands-on in Data analysis & Data engineering skills involving Sqls, PySpark etc. Exposure to ML & Data services on the cloud AWS, Azure, GCP Understanding internals of compute hardware - CPU, GPU, TPU is a plus. Can leverage the power of hardware accel to optimize the model execution — PyTorch Glow, cuDNN, is a plus.

hands-on Analytics experience with 2+ years of experience. hands-on experience with one or more data analytics tools including Python, R, SAS, and SQL, SPARK Good understanding of credit card industry, financial Proficiency in Tableau is a plus

Job Responsibilities will include, but not limited to: Coordinate client requests and liaise with other internal and external constituents Work closely with Sales to prioritize on-boarding requests and communicate that to all internal teams (Legal, Compliance, Credit, Technology and Operations) Drive forward and monitor progress of each on-boarding project and clearly escalate if there are issues Support senior members of the team with daily client inquiries Take ownership of clients as a newer member of the team Develop relationships with clients, 3rd party vendors and salespeople Basic Qualifications Strong organizational, analytical, communication, and interpersonal skills Strong leadership skills, record of demonstrated achievement Ability to work in a fast-paced environment and think clearly and deliver under pressure Solid work ethic and high levels of motivation. Track record of team oriented success Attention to detail

Requirements Undergraduate or graduate degree in quantitative fields, including but not limited to computer science, mathematics, engineering Familiar with commonly used quantitative techniques, including but not limited to statistics, linear algebra, numerical analysis, calculus Solid understanding of financial market. Working experience with a wide range of asset classes financial instruments is strongly preferred 5+ year of experience in finance sector (buyside business a big plus) Experience in building software in a production environment. Solid working knowledge of programming languages, data structures and algorithms Prior experience using open-source tools and frameworks is not required but nice to have. Must be willing to learn new technologies and have a passion of using technologies to solve real life problems Leadership skill and managerial experience is highly valued

Work closely with the Regional Lending Team to advise and develop solutions for clients that meet their needs and remain within acceptable risk parameters for the Bank Develop and maintain a thorough understanding of the product suite offered in Private Lending. Ensure consistency in the underwriting process and with the standards prescribed in the Product Lending Guides Document the loan structure and analysis for credit approval and file documentation purposes Ensure that loan documentation is consistent with the approved terms and that appropriate risk ratings are assigned to each loan transaction Confirm compliance with all covenant and collateral monitoring procedures Ensure that loan approvals and policy exceptions are documented appropriately and that credit files are maintained in a satisfactory manner Interact with banking regulators on an as needed basis. Provide other support of GS Bank USA s loan portfolio as requested Foster strong communication with Regional Private Lending teams, Credit Risk Management, PWM teams, clients and GS Bank USA personnel Skills and experience we are looking for MBA CPA or CFA a plus 3.5 - 5 years of work experience in a financial field (mortgage or insurance underwriting is not relevant for this role) Relevant work experience in commercial banking and/or private banking underwriting or credit roles Key skills include detailed knowledge of financial accounting, analysis, and modeling Excellent communication skills, both oral and written Strong project management, multi-tasking, and work organization skills Flexible, personable, confident, and self-motivated while focusing on being a team player Desire to be part of a dynamic and growing business No licensing required for this role

Goldman Sachs Asset Management delivers innovative investment solutions through a global, multi-product platform that offers clients the advantages that come with working with a large firm, while maintaining the benefits of a boutique. We are a top 10 global asset manager with a leadership position across asset classes and key market segments. Our success is driven by a global team of talented professionals who collaborate to deliver innovative client solutions. Quantitative Strategists Quantitative strategists work in close collaboration with bankers, traders, and portfolio managers on complex financial and technical challenges. We work on alpha generating strategies; discuss portfolio allocation problems; and build models for prediction, pricing, trading automation, data analysis and more. The strats platform is designed for people to express themselves by providing creative solutions to business problems. Strats own analytics, models for pricing, return and risk, as we'll as portfolio management platform. Responsibilities As a quantitative strategist your responsibilities will include Working with revenue-generating businesses to solve a broad range of problems, including quantitative strategy development, quantitative modelling, portfolio construction, portfolio optimization, infrastructure development and implementation, financial product and markets analytics Develop quantitative analytics and signals using advanced statistical, quantitative, or econometric techniques to improve portfolio construction process and implement fund management models to track longer term portfolio performance Develop sustainable production systems, which can evolve and adapt to changes in our fast-paced, global business environment Provide quantitative analytics to optimize investment structure, pricing, returns and capital sourcing Partner globally across multiple divisions and engineering teams to create quantitative modeling-based solutions Prioritize across competing problems, communicate with key stakeholders Basic Qualifications Bachelors / masters degree in a quantitative discipline with quantitative analytics/ research, financial modeling experience Strong understanding of mathematical concepts including probability and statistics, time series analysis, regression analysis, forecasting, optimization, machine learning, regression analysis, and other numerical techniques Strong fundamentals in design and analysis of algorithms, data structures Ability to implement coding solutions to quantitative problems, experience in developing finance and statistics-based applications and proficiency in at least one programming language such as Slang, Python, C, C++ Strong written, oral communication skills and ability to work in a team environment Ability to multi-task and prioritize work effectively Passion and self-motivation to deliver technology solutions in a dynamic business environment

Role & responsibilities Develop and implement a comprehensive analytics strategy to support the organization's business objectives. Lead cross-functional projects using advanced data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities. Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions on Microsoft Power BI and Snowflake. Driving key business impacting processes like demand forecast generation and SNOP processes. Generating sales recommendation for trade sales team. Optimizing business process like network, inventory, etc., with data modeling and predicting / prescribing algorithms. Oversee the design and delivery of reports and insights that analyze business functions and key operations and performance metrics. Manage and optimize processes for data intake, validation, mining and engineering as well as modeling, visualization and communication deliverables. Anticipate future demands of initiatives related to people, technology, budget and business within your department and design/implement solutions to meet these needs. Apply advanced analytics techniques to improve commercial routines and processes. Organize and drive successful completion of data insight initiatives through effective management of analyst and data employees and effective collaboration with stakeholders. Communicate results and business impacts of insight initiatives to stakeholders within and outside of the company. Ability to look, analyse, critically think, and communicate insights to support data-driven decisions. Preferred candidate profile With 10+ years of experience in a position monitoring, managing, manipulating and drawing insights from data, and someone with at least 3 years of experience leading a team Experience with data visualization tools: Power BI, Tableau, Raw, chart.js, etc. Experience in understanding and managing the data flow across multiple systems to datawarehouse. Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources. 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.

We are seeking a highly skilled Advanced Analytics Specialist to join our dynamic team. The successful candidate will be responsible for leveraging advanced analytics techniques to derive actionable insights, inform business decisions, and drive strategic initiatives. This role requires a deep understanding of data analysis, statistical modeling, machine learning, and data visualization. In this role, you will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. You will work closely with customers, product managers, and development teams to understand business requirements and design custom AI solutions that address complex challenges. Experience with tools like Github Copilot, Amazon Code Whisperer etc. is desirable. Success is our passion, and your accomplishments will reflect this, driving your career forward, propelling your team to success, and helping our clients to thrive. Day-to-Day Duties: Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Documentation and Knowledge SharingDocument solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members. Industry Trends and InnovationStay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Develop and implement advanced analytical models and algorithms to solve complex business problems, analyze large datasets to uncover trends, patterns, and insights that drive business performance. Collaborate with cross-functional teams to identify key business challenges and opportunities, Create and maintain data pipelines and workflows to ensure the accuracy and integrity of data, Design and deliver insightful reports and dashboards to communicate findings to stakeholders. Stay up to date with the latest advancements in analytics, machine learning, and data science. Provide technical expertise and mentorship to junior team members. QualificationsBachelor’s or master’s degree in data science, Statistics, Mathematics, Computer Science, or a related field. Proven experience in advanced analytics, data science, or a similar role. Proficiency in programming languages such as Python, R, or SQL. Experience with data visualization tools like Tableau, Power BI, or similar. Strong understanding of statistical modelling and machine learning algorithms. Excellent analytical, problem-solving, and critical thinking skills. Ability to communicate complex analytical concepts to non-technical stakeholders. Experience with big data technologies (e.g., Hadoop, Spark) is a plus Preferred technical and professional experience Familiarity with cloud-based analytics platforms (e.g., AWS, Azure). Knowledge of natural language processing (NLP) and deep learning techniques. Experience with project management and agile methodologies

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Data Science Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into existing systems and workflows, driving efficiency and enhancing user experiences. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge in AI and machine learning.- Continuously evaluate and implement new technologies to improve system performance and efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science.- Good To Have Skills: Experience with machine learning frameworks such as TensorFlow or PyTorch.- Strong understanding of data analysis and statistical modeling techniques.- Experience in deploying AI models in cloud environments like AWS, Azure, or Google Cloud.- Familiarity with data preprocessing and feature engineering techniques. Additional Information:- The candidate should have minimum 5 years of experience in Data Science.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Management Level: Ind&Func AI Decision Science Consultant Job Location: Bangalore / Gurgaon Must-have Skills: Excellent understanding of Pharma data sets commercial, clinical, Leverage ones hands on experience of working across one or more of these areas such as real-world evidence data, Statistical Models/Machine Learning including Segmentation & predictive modeling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization. Good-to-have Skills: Programming languages such as R, Python, SQL, Spark, AWS, Azure, or Google Cloud for deploying and scaling language models, Data Visualization tools like Tableau, Power BI. Job Summary This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. Key Responsibilities An opportunity to work on high-visibility projects with top Pharma clients around the globe. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities. Provide Subject matter expertise in various sub-segments of the LS industry. Support delivery of small to medium-sized teams to deliver consulting projects for global clients. Responsibilities may include strategy, implementation, process design, and change management for specific modules. Work with the team or as an Individual contributor on the project assigned which includes a variety of skills to be utilized from Data Engineering to Data Science Develop assets and methodologies, point-of-view, research, or white papers for use by the team and the larger community. Acquire new skills that have utility across industry groups. Support strategies and operating models focused on some business units and assess likely competitive responses. Also, assess implementation readiness and points of greatest impact. Additional Information Proficient in Excel, MS Word, PowerPoint, etc. Ability to solve complex business problems and deliver client delight. Strong writing skills to build points of view on current industry trends. Good communication, interpersonal, and presentation skills About Our Company | Accenture (do not remove the hyperlink) Qualification Experience: Proven experience (4+ years) in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes. Educational Qualification: Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field.

Management Level: Ind&Func AI Decision Science Consultant Job Location: Bangalore / Gurgaon Must-have Skills: Excellent understanding of Pharma data sets commercial, clinical, Leverage ones hands on experience of working across one or more of these areas such as real-world evidence data, Statistical Models/Machine Learning including Segmentation & predictive modeling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization. Good-to-have Skills: Programming languages such as R, Python, SQL, Spark, AWS, Azure, or Google Cloud for deploying and scaling language models, Data Visualization tools like Tableau, Power BI. Experience: Proven experience (4+ years) in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes. Educational Qualification: Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field. Job Summary This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. Key Responsibilities An opportunity to work on high-visibility projects with top Pharma clients around the globe. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities. Provide Subject matter expertise in various sub-segments of the LS industry. Support delivery of small to medium-sized teams to deliver consulting projects for global clients. Responsibilities may include strategy, implementation, process design, and change management for specific modules. Work with the team or as an Individual contributor on the project assigned which includes a variety of skills to be utilized from Data Engineering to Data Science Develop assets and methodologies, point-of-view, research, or white papers for use by the team and the larger community. Acquire new skills that have utility across industry groups. Support strategies and operating models focused on some business units and assess likely competitive responses. Also, assess implementation readiness and points of greatest impact. Additional Information Proficient in Excel, MS Word, PowerPoint, etc. Ability to solve complex business problems and deliver client delight. Strong writing skills to build points of view on current industry trends. Good communication, interpersonal, and presentation skills About Our Company | Accenture (do not remove the hyperlink) Qualification Experience: Proven experience (4+ years) in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes. Educational Qualification: Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field.

Management Level: Ind & Func AI Decision Science Analyst Job Location: Bangalore / Gurgaon Must-have Skills: Life Sciences/Pharma/Healthcare projects and delivering successful outcomes, commercial, clinical, Statistical Models/Machine Learning including Segmentation & predictive modeling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization. Good-to-have Skills: Proficiency in Programming languages such as R, Python, SQL, Spark, AWS, Azure, or Google Cloud for deploying and scaling language models, Data Visualization tools like Tableau, Power BI Experience: Proven experience (2+ years) in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes. Educational Qualification: Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field. Job Summary We are seeking an experienced and visionary - Accenture S&C Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition. Key Responsibilities Support delivery of small to medium-sized teams to deliver consulting projects for global clients. An opportunity to work on high-visibility projects with top Pharma clients around the globe. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities. Responsibilities may include strategy, implementation, process design, and change management for specific modules. Work with the team or as an Individual contributor on the project assigned which includes a variety of skills to be utilized from Data Engineering to Data Science Develop assets and methodologies, point-of-view, research, or white papers for use by the team and the larger community. Work on variety of projects in Data Modeling, Data Engineering, Data Visualization, Data Science etc., Acquire new skills that have utility across industry groups. Additional Information Ability to solve complex business problems and deliver client delight. Strong writing skills to build points of view on current industry trends. Good communication, interpersonal, and presentation skills About Our Company | Accenture (do not remove the hyperlink) Qualification Experience: Proven experience (2+ years) in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes. Educational Qualification: Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field.

Management Level: Ind & Func AI Decision Science Analyst Job Location: Bangalore / Gurgaon Must-have Skills: Life Sciences/Pharma/Healthcare projects and delivering successful outcomes, commercial, clinical, Statistical Models/Machine Learning including Segmentation & predictive modeling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization. Good-to-have Skills: Proficiency in Programming languages such as R, Python, SQL, Spark, AWS, Azure, or Google Cloud for deploying and scaling language models, Data Visualization tools like Tableau, Power BI Job Summary We are seeking an experienced and visionary - Accenture S&C Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition. Key Responsibilities Support delivery of small to medium-sized teams to deliver consulting projects for global clients. An opportunity to work on high-visibility projects with top Pharma clients around the globe. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities. Responsibilities may include strategy, implementation, process design, and change management for specific modules. Work with the team or as an Individual contributor on the project assigned which includes a variety of skills to be utilized from Data Engineering to Data Science Develop assets and methodologies, point-of-view, research, or white papers for use by the team and the larger community. Work on variety of projects in Data Modeling, Data Engineering, Data Visualization, Data Science etc., Acquire new skills that have utility across industry groups. Additional Information Ability to solve complex business problems and deliver client delight. Strong writing skills to build points of view on current industry trends. Good communication, interpersonal, and presentation skills About Our Company | Accenture (do not remove the hyperlink) Qualification Experience: Proven experience (2+ years) in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes. Educational Qualification: Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field.

Job Title - Ind & Func AI Decision Science Manager Management Level: 7-Manager Location: Bengaluru, BDC7C Must-have skills: Risk Analytics Good to have skills: Experience in financial modeling, valuation techniques, and deal structuring. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. WHATS IN IT FOR YOU Accenture CFO & EV team under Data & AI team has comprehensive suite of capabilities in Risk, Fraud, Financial crime, and Finance. Within risk realm, our focus revolves around the model development, model validation, and auditing of models. Additionally, our work extends to ongoing performance evaluation, vigilant monitoring, meticulous governance, and thorough documentation of models. Get to work with top financial clients globally Access resources enabling you to utilize cutting-edge technologies, fostering innovation with the worlds most recognizable companies. Accenture will continually invest in your learning and growth and will support you in expanding your knowledge. Youll be part of a diverse and vibrant team collaborating with talented individuals from various backgrounds and disciplines continually pushing the boundaries of business capabilities, fostering an environment of innovation. What you would do in this role Engagement Execution Work independently/with minimal supervision in client engagements that may involve model development, validation, governance, strategy, transformation, implementation and end-to-end delivery of risk solutions for Accentures clients. Ability to manage workstream of small projects with responsibilities of managing quality of deliverables for junior team members. Demonstrated ability of managing day to day interactions with the Client stakeholders o Practice Enablement o Guide junior team members. o Support development of the Practice by driving innovations, initiatives. o Develop thought capital and disseminate information around current and emerging trends in Risk. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Development, validation, and audit of: Credit Risk- PD/LGD/EAD Models, CCAR/DFAST Loss Forecasting and Revenue Forecasting Models, IFRS9/CECL Loss Forecasting Models across Retail and Commercial portfolios Credit Acquisition/Behavior/Collections/Recovery Modeling and Strategies, Credit Policies, Limit Management, Acquisition Frauds, Collections Agent Matching/Channel Allocations across Retail and Commercial portfolios Regulatory Capital and Economic Capital Models Liquidity Risk Liquidity models, stress testing models, Basel Liquidity reporting standards o Anti Money Laundering AML scenarios/alerts, Network Analysis o Operational risk AMA modeling, operational risk reporting Conceptual understanding of Basel/CCAR/DFAST/CECL/IFRS9 and other risk regulations Experience in conceptualizing and creating risk reporting and dashboarding solutions. Experience in modeling with statistical techniques such as linear regression, logistic regression, GLM, GBM, XGBoost, CatBoost, Neural Networks, Time series ARMA/ARIMA, ML interpretability and bias algorithms etc. Programing Languages - SAS, R, Python, Spark, Scala etc., Tools such as Tableau, QlikView, PowerBI, SAS VA etc. Strong understanding of Risk function and ability to apply them in client discussions and project implementation. Academic : Masters degree in a quantitative discipline mathematics, statistics, economics, financial engineering, operations research or related field or MBA from top-tier universities. Strong academic credentials and publications, if applicable. Industry certifications such as FRM, PRM, CFA preferred. Excellent communication and interpersonal skills. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 12-14Years Educational Qualification: Any Degree

Job Title - S&C Global Network - AI - CMT - Consultant Data Science Management Level: 9-Team Lead/Consultant Location: Hyderabad, HDC2A Must-have skills: CMT Analytics Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. Responsibilities/Authorities A Telco domain experienced and data science consultant is responsible to help the clients with designing & delivering AI solutions. He/she should be strong in Telco domain, AI fundamentals and should have good hands-on experience working with the following: Ability to work with large data sets and present conclusions to key stakeholders; Data management using SQL. Propose solutions to the client based on gap analysis for the existing Telco platforms that can generate long term & sustainable value to the client. Gather business requirements from client stakeholders via interactions like interviews and workshops with all stakeholders Track down and read all previous information on the problem or issue in question. Explore obvious and known avenues thoroughly. Ask a series of probing questions to get to the root of a problem. Ability to understand the as-is process; understand issues with the processes which can be resolved either through Data & AI or process solutions and design detail level to-be state Understand customer needs and identify/translate them to business requirements (business requirement definition), business process flows and functional requirements and be able to inform the best approach to the problem. Adopt a clear and systematic approach to complex issues (i.e. A leads to B leads to C). Analyze relationships between several parts of a problem or situation. Anticipate obstacles and identify a critical path for a project. Independently able to deliver products and services that empower clients to implement effective solutions. Makes specific changes and improvements to processes or own work to achieve more. Work with other team members and make deliberate efforts to keep others up to date. Establish a consistent and collaborative presence with clients and act as the primary point of contact for assigned clients; escalate, track, and solve client issues. Partner with clients to understand end clients business goals, marketing objectives, and competitive constraints. Storytelling Crunch the data & numbers to craft a story to be presented to senior client stakeholders. Should be able to travel or relocate to Japan as per business requirement. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Demonstrated experience in solving real-world data problems through Data & AI Direct onsite experience (i.e., experience of facing client inside client offices in India or abroad) is mandatory. Please note we are looking for client facing roles. Proficiency with data mining, mathematics, and statistical analysis Advanced pattern recognition and predictive modeling experience; knowledge of Advanced analytical fields in text mining, Image recognition, video analytics, IoT etc. Execution level understanding of econometric/statistical modeling packages Traditional techniques like Linear/logistic regression, multivariate statistical analysis, time series techniques, fixed/Random effect modelling. Machine learning techniques like - Random Forest, Gradient Boosting, XG boost, decision trees, clustering etc. Knowledge of Deep learning modeling techniques like RNN, CNN etc. Experience using digital & statistical modeling software (one or more) Python, R, PySpark, SQL, BigQuery, Vertex AI Proficient in Excel, MS word, Power point, and corporate soft skills Knowledge of Dashboard creation platforms Excel, tableau, Power BI etc. Excellent written and oral communication skills with ability to clearly communicate ideas and results to non-technical stakeholders. Strong analytical, problem-solving skills and good communication skills Self-Starter with ability to work independently across multiple projects and set priorities Strong team player Proactive and solution oriented, able to guide junior team members. Execution knowledge of optimization techniques is a good-to-have Exact optimization Linear, Non-linear optimization techniques Evolutionary optimization Both population and search-based algorithms Cloud platform Certification, experience in Computer Vision are good-to-haves Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 8-10Years Educational Qualification: Any Degree

About Company: Bajaj Electricals Limited is a globally renowned Indian Consumer Appliances and Lighting Solutions company (its Power Transmission and Distribution projects business has been demerged to form Bajel Projects Limited). Headquartered in Mumbai with a turnover of INR 4,662 crores (FY 2023 - 2024), it is a part of the $100 bn multinational conglomerate Bajaj Group founded by Shri Jamnalal Bajaj. The Company was established in 1938 and has stood the test for almost 85 years. It continues to enjoy consumer trust across various sectors it operates in and remains at the forefront of developing modern, technologically superior, and aesthetic products and solutions. Bajaj Electricals business portfolio spans Consumer Products (Appliances, Fans, Cookware) and Lighting Solutions (Consumer and Professional Lighting). They are a front runner in the industry with their key brand offerings comprising BAJAJ, Nirlep, Morphy Richards and Nex. They have an expansive network of 18 branch offices, 660+ distributors, and ~ 2 lakh retail outlets across India, combined with over 620 consumer care centres reaching 19,000 pin codes, fortifying their dominant presence in the consumer products sector. Under their Lighting Solutions business, they offer a wide range of innovative LED lamps and fixtures, including panels and battens, to consumers and are known for their prowess in street lighting, sports lighting, industrial commercial and infrastructural lighting, and undertaking specialised illumination projects on a turnkey basis amongst other solutions. The Company believes in creating happiness with sustainability by focusing on the four key CSR pillars - Sustainability, Diversity & Inclusion, Employee Volunteering & Community Initiatives. Through their CSR initiatives, they enable sustained impact in environmental sustainability, education, health, arts & culture and community development achieved by direct implementation and via NGO partners. Website: http://www.bajajelectricals.com Industry: Appliances, Electrical, and Electronics Manufacturing Address: 27th Floor, One Unity Center, Senapati Bapat Marg, Prabhadevi/ Parel (West), Mumbai-400013 Position: Lead - Analytics Working Days: Monday to Friday Headquarters: Mumbai, Maharashtra Founded: 1938 JOB ROLE: Lead - Advance Analytics REPORTING TO: Chief Information Officer TYPE OF ROLE: Team Lead JOB PURPOSE The Analytics Manager will work closely with leaders across product, sales, supply-chain and marketing to support and implement high-quality, data-driven decisions. He/She will ensure data accuracy and consistent reporting by designing and creating optimal processes and procedures for analytics employees to follow. He/She will use advanced data modeling, predictive modeling and analytical techniques to interpret key findings from company data and leverage these insights into initiatives that will support business outcomes. The right person for the job will apply their exhaustive knowledge of data analysis to solving real-world problems faced by our company and finding opportunities for improvement across multiple projects, teams and business units. KEY RESPONSIBILITIES - Develop and implement a comprehensive analytics strategy to support the organization's business objectives. - Lead cross-functional projects using advanced data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities. - Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions. - Driving key business impacting processes like demand forecast generation and SNOP processes. - Generating sales recommendation for trade sales team. - Optimizing business process like network, inventory, etc., with data modeling and predicting / prescribing algorithms. - Oversee the design and delivery of reports and insights that analyze business functions and key operations and performance metrics. - Manage and optimize processes for data intake, validation, mining and engineering as well as modeling, visualization and communication deliverables. - Anticipate future demands of initiatives related to people, technology, budget and business within your department and design/implement solutions to meet these needs. - Apply advanced analytics techniques to improve commercial routines and processes. - Organize and drive successful completion of data insight initiatives through effective management of analyst and data employees and effective collaboration with stakeholders. - Communicate results and business impacts of insight initiatives to stakeholders within and outside of the company. - Ability to look, analyse, critically think, and communicate insights to support data-driven decisions EDUCATIONAL QUALIFICATIONS: B.E/ BTech / M.Tech (Computer Science, Statistics, Data Management, Business Intelligence) or MBA/ PGDM (Data Science/Business Analytics/Business Intelligence/Sales/Marketing) WORK EXPERIENCE With 7+ years of experience in a position monitoring, managing, manipulating and drawing insights from data, and someone with at least 3 years of experience leading a team Experience with data visualization tools: Power BI, Tableau, Raw, chart.js, etc INTERNAL / EXTERNAL INTERFACE Internal working with Supply Chain, Sales and Finance Teams. External working with Analytics vendors

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 : Salesforce CRM Analytics Good to have skills : NAMinimum 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 requirements are met, overseeing the development process, and providing guidance to team members. You will also engage in problem-solving activities, ensuring that the applications are aligned with business objectives and user needs, while maintaining a focus on quality and efficiency throughout the project lifecycle. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure timely delivery of milestones. Professional & Technical Skills: - Must To Have Skills: Proficiency in Salesforce CRM Analytics.- Strong understanding of data integration techniques and tools.- Experience with application design and architecture principles.- Ability to analyze business requirements and translate them into technical specifications.- Familiarity with agile methodologies and project management practices. Additional Information:- The candidate should have minimum 5 years of experience in Salesforce CRM Analytics.- This position is based in Mumbai.- A 15 years full time education is required. Qualification 15 years full time education

Jubilant Biosys is looking for Trainee Research Associate to join our dynamic team and embark on a rewarding career journey. As a Research Associate, you will be responsible for conducting research and analyzing data to support various research projects. Conduct research studies and analyze data using a variety of research methods and tools. Analyze and interpret data using statistical software and other analytical tools. Prepare reports and presentations summarizing research findings and conclusions.