214 Linear Regression Jobs

We are looking for a Senior Applied Scientist to support the development of next-generation generative AI powered solutions for Oracle Analytics. You will be responsible for designing new approaches to natural language based interaction with structured data, creating agentic systems for multi-faceted data analysis, developing advanced personalization and customization techniques, and integrating your solutions into intelligent applications for industry verticals. You will conduct in-depth research, produce production-ready code, and collaborate with a cross-functional team to integrate your work into applications and services. This role requires deep expertise in machine learning, data science and generative AI, including LLMs (fine-tuning, adaptation, personalization), agents/agent frameworks, and tool orchestration. Preferred qualifications include practical experience with machine learning approaches for structured data, tabular representation learning, graph neural networks, time series modeling, and operations research/mathematical optimization. Candidates should have the demonstrated ability to design novel solutions that advance the state of the art in response to business requirements, as evidenced by publications in first-tier conferences or journals and impact on successfully deployed software products that operate at scale. Responsibilities Responsibilities: Collaborate with a larger science team to develop innovative science solutions in response to business requirements. Research and develop innovative approaches leveraging recent advances in generative AI, mathematical optimization, and machine learning for structured data. Write high quality code to power experiments and build models. Contribute to writing production model code. Collaborate with data engineers to provide guidelines for data collection and annotation. Collaborate closely with cross-functional teams to deliver solutions into various applications and products. Identify new opportunities for scientific exploration and evaluate emerging technologies. Qualifications and Experience: PhD in Computer Science, Mathematics, Statistics, Engineering, or a related field and a minimum of 5 years work experience in AI/Generative AI/Machine Learning in an industry setting. Publication record in first-tier journals or conferences. Hands-on experience in generative AI and model/application evaluation. Proficiency in Python, SQL, Spark. Strong understanding of machine learning algorithms and architectures Excellent problem-solving and analytical skills Strong communication abilities. Qualifications Career Level - IC3

As a Manager - AI/GenAI at EY, you will have the opportunity to work in a multi-disciplinary technology team focusing on Data Mining & Management, Visualization, Business Analytics, Automation, Statistical Insights, and AI/GenAI across various industry sectors. Your role will involve developing and delivering industry-specific solutions using Artificial Intelligence, Machine Learning, deep learning, and LLM models for Generative AI, text analytics, and Python Programming. **Key Responsibilities:** - Develop, review, and implement solutions utilizing AI, Machine Learning, Deep Learning, and Python APIs. - Lead the development and implementation of Generative AI applications using open source and closed source Large Language Models (LLMs) such as GPT-3.5, GPT 4, Llama, BERT, etc. - Design and optimize solutions leveraging Vector databases for efficient storage and retrieval of contextual data for LLMs. - Understand business sectors to identify opportunities for analytics applications. - Manage projects, ensure smooth service delivery, and communicate with cross-functional teams. - Provide expert reviews for projects and participate in Stakeholder Management. **Skills And Attributes For Success:** - Ability to work creatively and systematically in a problem-solving environment. - High ethical standards, flexibility, curiosity, and creativity. - Good interpersonal skills, team player, and ability to manage multiple priorities. - Intercultural intelligence and experience in working with multi-cultural teams. - Strong technical and problem-solving skills with excellent communication abilities. **Qualifications Required:** - 9 - 14 years of relevant work experience in AI and Machine Learning with deployment experience in Azure. - Experience in statistical techniques, deep learning, NLG, LLM, DL Techniques, and Python programming. - Proficiency in using open source and proprietary LLM models and Generative AI workflow management tools. - Familiarity with SDLC, product development principles, and mentoring team members. **Additional Details:** EY Global Delivery Services (GDS) offers a dynamic and global delivery network with career opportunities across various disciplines. You will collaborate with EY teams globally and work on exciting projects with well-known brands. Continuous learning, transformative leadership, and a diverse and inclusive culture are key aspects of working at EY. Join EY to be part of a market-leading team, contribute to building a better working world, and create long-term value for clients, people, and society.,

Senior Data Scientist Machine Learning & Generative AI Location: Hyderabad | Company: DataBeat.io Experience: 6 + Years | Employment Type: Full-Time Immediate Joiners Preferred ( We are Looking for Immediate Joiners ) About DataBeat.io At DataBeat.io , we are a global data and analytics services company empowering organizations with cutting-edge big data solutions, machine learning, and operational analytics. We partner with forward-thinking enterprises to deliver impactful, scalable, and innovative data solutions using the latest technologies and platforms. As part of our fast-growing and dynamic team, you'll be at the forefront of the data revolutionworking on high-impact projects involving emerging technologies like Large Language Models (LLMs) and Generative AI , for clients that are shaping the future of tech. Your expertise will directly influence business outcomes, and high performance is rewarded with leadership opportunities and career advancement. Role Overview We are seeking a highly experienced and motivated Senior Data Scientist with deep expertise in Machine Learning, Deep Learning , and Generative AI (GenAI) . The ideal candidate will have a strong technical foundation, proven leadership in delivering data-driven solutions, and the ability to translate complex data insights into business strategies. Key Responsibilities Lead end-to-end data science projects from business requirement gathering to model deployment. Design and implement advanced machine learning and deep learning models , including LLMs and GenAI applications . Collaborate with stakeholders across industries to identify business challenges and propose data-driven solutions. Transform complex data into actionable insights using data visualization and storytelling tailored for senior management. Work with engineering teams to scale models using big data tools like Apache Spark, Hadoop , and cloud platforms such as AWS, GCP, Azure . Mentor junior data scientists and contribute to internal knowledge sharing and best practices. Manage multiple client engagements simultaneously, delivering solutions across diverse industries. Stay current with emerging technologies in AI/ML and GenAI , and proactively bring innovative ideas into projects. Experience: 6+ years of hands-on experience in data science and machine learning. Proven experience delivering solutions involving LLMs, NLP, and Generative AI technologies. Demonstrated success in client-facing roles and cross-functional collaboration. Plotly . Application form - https://databeat.keka.com/careers/jobdetails/32994

As a Real Estate Business Analyst with 5-10 years of experience based in Bangalore, your role will involve the following key responsibilities: - Gather stakeholder requirements through interviews, workshops, and surveys to ensure alignment and broad input. - Create clear Business Requirement Documents (BRDs) and Functional Requirement Documents (FRDs), write use-cases and user stories, and develop process maps to visualize business workflows. - Apply critical thinking to assess scenarios, evaluate options transparently, and make informed, risk-aware decisions with stakeholder input. - Develop project plans and schedules, manage risks, and apply Agile methods like Scrum to deliver requirements. - Gather and document business needs, create business cases, and collaborate with cross-functional teams to implement solutions. - Drive process and system improvements, bridge IT and business teams for successful outcomes, and provide end-user training and support. Qualifications required for this role include: - Analyzing data to uncover insights, identify gaps, and propose solutions. - Conducting SWOT analyses to evaluate and guide business decisions. - Proficiency in linear and logistic regression, time series forecasting (e.g., moving averages, exponential smoothing, ARIMA), and distinguishing correlation from causation using correlation coefficients. - Skilled in creating prototypes and wireframes for requirement validation, and using SQL to extract and analyze relevant data. - Proficiency in using data visualizations such as charts, graphs, heatmaps, geospatial visuals, pivot tables, and interactive dashboards to convey insights effectively and tell compelling stories. - Expertise in Power BI, Land Vision, and Excel. Proficiency in SQL, Python, and R for analysis and visualization. Familiarity with modeling techniques like UML and BPMN.,

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 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.

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 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.

As a Sr. Data Scientist at GKM IT, you will be responsible for conducting extensive ML research and developing new ML use cases for products. Your role will involve mentoring Junior data scientists and Interns to deliver data science projects. You will also be reading and implementing research papers, especially in Generative AI, in order to utilize a wide range of Machine Learning and deep learning techniques to solve complex business problems. **Key Responsibilities:** - Conducting extensive ML research and developing new ML use cases for products. - Mentoring Junior data scientists and Interns to deliver data science projects. - Reading and implementing research papers, especially in Generative AI. - Utilizing a wide range of Machine Learning and deep learning techniques to solve complex business problems. **Qualifications Required:** - Advanced knowledge of Python. - In-depth understanding of Statistics & Probability concepts. - Expertise in Machine Learning and deep learning libraries such as Scikit-learn, Keras, TensorFlow, PyTorch, etc. - Deep understanding of supervised and unsupervised ML algorithms like Logistic and Linear Regression, Gradient Descent, Decision Trees, SVM etc. - Experience working with Transformer architecture and Large Language Models. - Knowledge of building LLMs applications with frameworks like Langchain/Llama-index is a plus.,

Role Characteristics: Analytics team provides analytical support to multiple stakeholders (Product, Engineering, Business development, Ad operations) by developing scalable analytical solutions, identifying problems, coming up with KPIs and monitor those to measure impact/success of product improvements/changes and streamlining processes. This will be an exciting and challenging role that will enable you to work with large data sets, expose you to cutting edge analytical techniques, work with latest AWS analytics infrastructure (Redshift, s3, Athena, and gain experience in the usage of location data to drive businesses. Working in a dynamic start up environment will give you significant opportunities for growth within the organization. A successful applicant will be passionate about technology and developing a deep understanding of human behavior in the real world. They would also have excellent communication skills, be able to synthesize and present complex information and be a fast learner. You Will: Perform root cause analysis with minimum guidance to figure out reasons for sudden changes/abnormalities in metrics Understand objective/business context of various tasks and seek clarity by collaborating with different stakeholders (like Product, Engineering) Derive insights and putting them together to build a story to solve a given problem Suggest ways for process improvements in terms of script optimization, automating repetitive tasks Create and automate reports and dashboards through Python to track certain metrics basis given requirements Automate reports and dashboards through Python Technical Skills (Must have) B.Tech degree in Computer Science, Statistics, Mathematics, Economics or related fields 4-6 years of relevant experience in working with data and conducting statistical and/or numerical analysis Ability to write SQL code Scripting/automation using python Hands on experience in data visualisation tool like Looker/Tableau/Quicksight Basic to advance level understanding of statistics Other Skills (Must have) Be willing and able to quickly learn about new businesses, database technologies and analysis techniques Strong oral and written communication Understanding of patterns/trends and draw insights from those Preferred Qualifications (Nice to have) Experience working with large datasets Experience with AWS analytics infrastructure (Redshift, S3, Athena, Boto3) Hands on experience on AWS services like lambda, step functions, Glue, EMR + exposure to pyspark What we offer At GroundTruth, we want our employees to be comfortable with their benefits so they can focus on doing the work they love. Parental leave- Maternity and Paternity Flexible Time Offs (Earned Leaves, Sick Leaves, Birthday leave, Bereavement leave & Company Holidays) In Office Daily Catered Lunch Fully stocked snacks/beverages Health cover for any hospitalization. Covers both nuclear family and parents Tele-med for free doctor consultation, discounts on health checkups and medicines Wellness/Gym Reimbursement Pet Expense Reimbursement Childcare Expenses and reimbursements Employee assistance program Employee referral program Education reimbursement program Skill development program Cell phone reimbursement (Mobile Subsidy program) Internet reimbursement Birthday treat reimbursement Employee Provident Fund Scheme offering different tax saving options such as VPF and employee and employer contribution up to 12% Basic Creche reimbursement Co-working space reimbursement NPS employer match Meal card for tax benefit Special benefits on salary account We are an equal opportunity employer and value diversity, inclusion and equity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

You are an accomplished professional with 6-10 years of experience in modeling and analytics, seeking to drive growth by integrating analytics into end-to-end business solutions. Your role will involve translating data-driven results into business-focused deliverables, enabling decision-making and shaping the future of rural finance lending. Your expertise will be crucial in analyzing large datasets to identify trends, patterns, and correlations related to loan performance, customer behavior, and market dynamics. You will develop and maintain predictive models to assess credit risk, predict default probabilities, and optimize loan approval & collection processes. Collaborating with product development teams, you will design and launch micro loan products such as Gold Loan, Business Loan, and Rural Loan against Property. Ad-hoc analyses to support strategic initiatives and provide actionable insights to improve underwriting criteria, loan origination processes, and customer targeting strategies will be part of your responsibilities. To excel in this role, you must stay up to date with industry trends, best practices, and regulatory changes impacting rural business lending. Collaborating with IT and data engineering teams is essential to ensure data quality, integrity, and accessibility. Leading the development of model methodologies, algorithms, and diagnostic tools for testing model robustness, sensitivity, and stability will also be a key aspect of your role. Desired Skills & Experience: - 6-10 years of experience with R, Python, PL/SQL (preferably MS SQL Server). - Prior experience in the BFSI domain (Indian Banks / NBFCs) is advantageous. - Good understanding of Microfinance Credit Bureau data. - Proficiency in statistics and analytics tools such as R, Python, and SAS. - Familiarity with relational databases and intermediate SQL. - Ability to synthesize unstructured data and extract insights using SAS/Python/R. - Experience with Google Cloud Platform, BigQuery, Vertex AI is a plus. - Strong problem-solving skills connecting business requirements to data-driven solutions. - Knowledge in areas like Logistic Regression, Linear Regression, Stochastic Models, Bayesian Modeling, Classification, Clustering, Neural Networks, Non-parametric Methods, and Multivariate Statistics. Join this role to work on real-world challenges in both rural and urban India, shaping financial inclusion for millions of customers. Gain hands-on exposure to AI, Machine Learning, NLP, Computer Vision, Customer Segmentation, Time Series Analysis, and more using cutting-edge tools like R, Python, Vertex AI, and cloud-native analytics platforms. Be part of a high-performing analytics function recognized in the industry for innovation, technology adoption, and data-driven business transformation.,

About Info Edge: InfoEdge's mission is to create world-class platforms that transform lives by continuously innovating. Our products and services are built keeping our customers in mind. We always delight our customers by delivering superior value through enhanced offerings on the internet and other platforms. Through our continuous investment across various businesses, especially in cutting-edge technology, machine learning and artificial intelligence (AI), we have built a robust system that constantly increases our predictive powers on customer behaviour, and optimizes and improves our systems. Our various teams tirelessly work together to solve problems, innovate, and create something to empower our customers. At Info Edge, people are our core competitive advantage and we will continue doing all that is needed to attract and retain the best available talent. * About BU: Corporate Function * Required Educational Qualification: PhD/ MTech / BTech with relevant experience from Tier 1 Campus only. * Desired Experience: 0 - 5 Years * Job Objective: You will be building innovative Machine Learning solutions for vital and complex business problems. *Fill this form to proceed further: ( https://tinyurl.com/FAIscientist ) Job Description: As AI Scientist you will: Develop algorithms and build systems to extract seemingly unseen trends and information from user content such as resumes, job description and profile information available through various sources and in different modalities such as numeric, structure and unstructured texts and images. Identify potential new business problems that can be solved through machine learning. Ideate, formulate, create metrics and execute on such problems and get buy in from business. Identify potential data-driven machine learning solutions to improve user experience through personalization and prediction of user preferences. Build intelligent systems to capture and model the vast amount of behavior data to enrich the content understanding with behavioral information. Identify the appropriate and cutting edge machine learning tools for various supervised and unsupervised tasks in the NLP, deep learning, semantic search, LTR space for building highly accurate and scalable recommendation systems and information retrieval solutions. Design solutions for scalable and real-time performance on a significantly large data set. Use big data technologies to optimally use infrastructure and improve performance. Participate in external forums /discussions, publish research papers, keep up-to-date on latest publications and build external/internal networks. Required Skills: Strong fundamental understanding and research experience in machine learning/Deep Learning/NLP/Information Retrieval/Artificial Intelligence areas. Strong applied knowledge of machine learning in solving real-world business problems with a significantly broad number of algorithms covering the landscape of classification, regression; discriminative, generative; supervised, unsupervised, semi-supervised; linear and non-linear dimensionality reduction, feature-extraction, feature selection, feature-learning. Industry experience in applying a variety of machine learning solutions to real-world large-scale data to build intelligent systems. An excellent problem solving skills with a research oriented approach. Ability to capture, manage, create pipelines and process Big Data. Desired Skills: Ability to understand Business challenges and define solutions aligned to the needs.

General Summary: Job Summary: 8-14 years of experience in Performance Validation (preferably AI/ML workloads) on complex CPU/GPU/NPU chipsets/IPs QDSP team is responsible for delivering high-performance NSP (neural signal processor) cores which are at the heart of Qualcomm's multi-tier SoC roadmap targeted for mobile space. Qualcomm is the largest fabless design company in the world, generating over $15 Billion in annual revenues from chipsets and royalties from intellectual property. Qualcomm provides hardware, software and related services to nearly every mobile device maker and operator in the global wireless marketplace. Job Responsibilities: In this highly visible and interactive role, your primary responsibility will be to drive performance validation of NSP IP by working with global QDSP design team involving architecture, implementation, post silicon and back-end teams. Responsible for Running Benchmarks, collecting results and coalescing them, executing experiments for platform characterization and debug, Implementing enhancements to the emulation environment. Responsible for delivering projections to SOC platforms, Responsible for building infrastructure for performance validation and verify performance of neural signal processor (NSP). Skillset/Experience: 8-14years experience in NSP/Processor/ASIC performance correlation Experience in application performance analysis. Fundamental understanding of what is important with latest ML trends, understands transformers, quantization, fixed/floating point etc. Understand the software stack to launch, run, and teardown applications in the Windows, Android, and Auto Space Understand all the system settings (clock, voltage, thermal, system settings etc.) that can impact the performance of ML applications. Programming/Scripting Skills C, C++, Perl, Python, Shell, Make file TCI. Strong troubleshooting, analytical and debug skills Should have excellent inter-personal, communication skills and ability to work in a fast-paced exciting environment. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience. ORMaster's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.

Join us as a WCR Model Owner Delegate - VP. The role requires close collaboration with the Model Owner and the heads of various departments including Credit Risk, Quantitative Analytics, Front Office, and Technology to manage our extensive and highly material suite of wholesale credit risk models (PD, EAD, LGD) ensuring that both the business and regulatory risk arising from these models and associated systems are effectively controlled and the models perform as required. The successful applicant will lead selected activities across our multi-year wholesale credit risk IRB models replacement programme as well as supporting the Model Owner by taking ownership of day to day aspects of managing our current inventory of credit models. In this role, you will work with the Model and Rating System Owners and other key partners to deliver new IRB models and associated systems, in line with commitments made to the regulator(s). You will be responsible for managing and maintaining the current model inventory in line with Model Risk Policy, including presenting at senior models and rating system related committees. It will be essential to keep abreast with regulatory developments, proactively responding to any implications for IRB modeling. Additionally, you will sponsor/support other non-model, business change projects that may impact the firm's IRB Permissions. Developing and maintaining a strong network and close working relationships with key stakeholders across the BI businesses and functional areas will also be a key aspect of your role to ensure best-in-class and consistent approaches are used across the firm. The ideal candidate for the position should have a quantitative academic and/or professional background with suitable and directly relevant experience in developing or validating empirical models, ideally in a wholesale credit context. Understanding the business portfolios within which those models are used will also be crucial for success. To excel as a WCR Model Owner Delegate - VP, you should possess excellent written and verbal communication skills, capable of digesting and conveying complex information effectively. Proven problem-solving, self-motivation, and decision-making skills are essential, enabling you to break down complex issues and think creatively to deliver practical solutions. A working knowledge of statistical models such as linear and logistic regression and associated statistical tests, gained through suitable experience in prior roles managing/developing related models, will be beneficial. A strong understanding of the fundamentals of Wholesale Credit Risk and the Internal Ratings Based approach to RWA measurement is required. Strong managerial and collaborative skills are also important, inspiring and encouraging personal excellence within and outside the team. A Post Graduate or Masters degree is a necessary qualification for this role. You may be assessed on key critical skills relevant for success in the role, such as risk and controls, change and transformation, business acumen, strategic thinking, digital and technology, as well as job-specific technical skills. Location: Nirlon, Mumbai. Purpose of the role: To design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making. Accountabilities: - Design analytics and modeling solutions to complex business problems using domain expertise. - Collaborate with technology to specify any dependencies required for analytical solutions, such as data, development environments, and tools. - Development of high-performing, comprehensively documented analytics and modeling solutions, demonstrating their efficacy to business users and independent validation teams. - Implementation of analytics and models in accurate, stable, well-tested software and work with technology to operationalize them. - Provision of ongoing support for the continued effectiveness of analytics and modeling solutions to users. - Demonstrate conformance to all Barclays Enterprise Risk Management Policies, particularly Model Risk Policy. - Ensure all development activities are undertaken within the defined control environment. Vice President Expectations: - Contribute or set strategy, drive requirements, and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/processes; deliver continuous improvements and escalate breaches of policies/procedures. - Advise key stakeholders, including functional leadership teams and senior management on functional and cross-functional areas of impact and alignment. - Manage and mitigate risks through assessment, in support of the control and governance agenda. - Collaborate with other areas of work, for business-aligned support areas to keep up to speed with business activity and the business strategies. - Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions. - Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset to Empower, Challenge, and Drive the operating manual for how we behave.,

As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, and GenAI models. Your role involves implementing deep learning, neural networks, chatbots, and image processing in production-ready quality solutions. Expected to perform independently and become an SME, you will actively participate in team discussions and provide solutions to work-related problems. Collaborate with team members to create innovative solutions, staying updated with the latest AI/ML trends and technologies. Your responsibilities include developing applications and systems using AI tools and Cloud AI services, implementing deep learning and neural networks, creating chatbots, and working on image processing tasks. You must have proficiency in Large Language Models and a strong understanding of statistical analysis and machine learning algorithms. Experience with data visualization tools like Tableau or Power BI is required, along with hands-on experience in implementing various machine learning algorithms and data munging techniques. The ideal candidate should have a minimum of 3 years of experience in Large Language Models and possess a 15 years full-time education. This position is based at our Bengaluru office.,

About The Role Management Level: - Ind & Func AI Decision Science Consultant Level 9 Location: Gurgaon / Bangalore / Mumbai / Hyderabad Must-have skills Marketing Analytics, Data Driven Merchandizing (Pricing/Promotions/Assortment Optimization), Statistical Timeseries Models, Store Clustering Algorithms, Descriptive Analytics, State Space Modeling, Mixed Effect Regression, NLP Techniques, Large Language Models, Azure ML Tech Stack, SQL, R, Python, AI/ML Model Development, Cloud Platform Experience (Azure/AWS/GCP), Data Pipelines, Client Management, Insights Communication Good to have skills: Non-linear Optimization, Resource Optimization, Cloud Capability Migration, Scalable Machine Learning Architecture Design Patterns, Econometric Modeling, AI Capability Building, Industry Knowledge:CPG, Retail Job Summary As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading statistical tools, methods, and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. Roles & Responsibilities: Working through the phases of project Define data requirements for Data Driven Growth Analytics capability. Clean, aggregate, analyze, interpret data, and carry out data quality analysis. Knowledge of market sizing, lift ratios estimation. Experience in working with non-linear optimization techniques. Proficiency in Statistical Timeseries models, store clustering algorithms, descriptive analytics to support merch AI capability. Hands on experience in state space modeling and mixed effect regression. Development of AI/ML models in Azure ML tech stack. Develop and Manage data pipelines. Aware of common design patterns for scalable machine learning architectures, as well as tools for deploying and maintaining machine learning models in production. Knowledge of cloud platforms and usage for pipelining and deploying and scaling elasticity models. Working knowledge of resource optimization Working knowledge of NLP techniques, Large language models. Manage client relationships and expectations and communicate insights and recommendations effectively. Capability building and thought leadership. Logical Thinking Able to think analytically, use a systematic and logical approach to analyze data, problems, and situations. Notices discrepancies and inconsistencies in information and materials. Task Management Advanced level of task management knowledge and experience. Should be able to plan own tasks, discuss and work on priorities, track, and report progress . Client Relationship Development Manage client expectations and develop trusted relationships Maintain strong communication with key stakeholders Act as a strategic advisor to clients on their data-driven marketing decisions Professional & Technical Skills: Must have at least 4+ years of work experience in Marketing analytics with a reputed organization. 3+ years of experience in Data Driven Merchandizing which involves work experience in Pricing/Promotions/Assortment Optimization capabilities across retail clients. Strong understanding of econometric/statistical modeling:regression analysis, hypothesis testing, multivariate analysis, time series, optimization Expertise in Azure ML, SQL, R, Python, PySpark Proficiency in non-linear optimization and resource optimization Familiarity with design patterns for deploying and maintaining ML models in production Strong command over marketing data and business processes in Retail and CPG Hands-on with tools like Excel, Word, PowerPoint for communication and documentation Additional Information: Bachelor/Masters degree in Statistics/Economics/ Mathematics/ Computer Science or related disciplines with an excellent academic record Knowledge of CPG, Retail industry. Proficient in Excel, MS word, PowerPoint, etc. Strong client communication. About Our Company | Accenture Qualification Experience: Must have at least 4+ years of work experience in Marketing analytics with a reputed organization. 3+ years of experience in Data Driven Merchandizing which involves work experience in Pricing/Promotions/Assortment Optimization capabilities across retail clients. Educational Qualification: Bachelor/Masters degree in Statistics/Economics/Mathematics/Computer Science or related disciplines. Preferred advanced degrees include M.Tech, M.Phil/Ph.D in Statistics/Econometrics or related field from reputed institutions.

About The Role Project Role : Data Science Practitioner Project Role Description : Formulating, design and deliver AI/ML-based decision-making frameworks and models for business outcomes. Measure and justify AI/ML based solution values. Must have skills : Data Science Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Science Practitioner, you will be engaged in formulating, designing, and delivering AI and machine learning-based decision-making frameworks and models that drive business outcomes. Your typical day will involve collaborating with cross-functional teams to understand business needs, analyzing data to derive insights, and presenting your findings to stakeholders to support strategic decisions. You will also measure and justify the value of AI and machine learning solutions, ensuring they align with organizational goals and deliver tangible results. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Analyze complex datasets to extract actionable insights that inform business strategies.- Collaborate with stakeholders to define project requirements and deliverables. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science.- Strong understanding of machine learning algorithms and their applications.- Experience with data manipulation and analysis using programming languages such as Python or R.- Familiarity with data visualization tools to effectively communicate findings.- Ability to work with large datasets and perform statistical analysis. Additional Information:- The candidate should have minimum 3 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

About The Role TBD Qualification TBD

About The Role Skill required: Insight Engine - Analytics Insights Designation: Analytics and Modeling Analyst Qualifications: Any Graduation Years of Experience: 3 to 5 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do? We are seeking a Machine Learning Data Scientist with 2 to 3 years of hands-on experience to join our growing Insights and Analytics team. The ideal candidate will be proficient in building ML models using supervised and unsupervised learning techniques, comfortable working with Python-based ML libraries, and experienced in data preparation workflows. Familiarity with Microsofts AI/ML ecosystem is a strong advantage. What are we looking for? Preferred (Strong Advantage):Hands-on experience with Azure Machine Learning Studio and Automated ML.Familiarity with Azure Cognitive Services for vision, language, and decision tasks.Experience working with Microsoft Fabric and Synapse ML integration. Qualifications:Bachelor s or Masters degree in Computer Science, Data Science, Engineering, or related field.23 years of experience in applied machine learning and data science projects.Solid understanding of model training, validation, and deployment workflows.Experience working with version control (e.g., Git) and collaborative development environments.Nice to Have:Familiarity with tools that help automate and manage the process of building, testing, and deploying machine learning models (MLOps and CI/CD pipelines).Basic understanding of cloud-based architecture and APIs. Roles and Responsibilities: Develop and implement machine learning models using supervised and unsupervised techniques.Apply appropriate machine learning algorithms for prediction tasks (e.g., linear regression, decision trees, neural networks) and data segmentation (e.g., k-means clustering, hierarchical clustering) based on project needs.Perform data preprocessing, feature engineering, and model evaluation.Use Python libraries such as scikit-learn, TensorFlow, and others to build and test models.Analyse and manipulate structured datasets using notebooks (e.g., Jupyter).Collaborate with data engineers, analysts, and product teams to translate business problems into ML solutions.Document model performance, data flows, and process pipelines. Qualification Any Graduation

About The Role Job Title - S&C GN AI - Insurance AI Consulting- Specialist Management Level: 9-Team Lead/Consultant Location: Bengaluru, BDC7C Must-have skills: Generative AI 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. WHATS IN IT FOR YOU? Accenture Global Network is a unified powerhouse that combines the capabilities of Strategy & Consulting with the force multipliers of Data and Artificial Intelligence. It is central to Accenture's future growth and Accenture is deeply invested in providing individuals with continuous opportunities for learning and growth. Youll be part of a diverse, vibrant, global community, continually pushing the boundaries of business capabilities. Accenture is also ranked 10th* on the 2023 Worlds Best Workplaces list, making it a great place to work. What you would do in this role Help the team architect, design, build, deploy, deliver, and monitor advanced analytics models including GenAI, for different client problems Develop functional aspects of Generative AI pipelines, such as information retrieval, storage techniques, and system optimizations across services for a chosen cloud platform such as Azure or AWS Interface with clients/account team to understand engineering/business problems and translate into analytics problems that shall deliver insights for action and operational improvements consume data from multiple sources and present relevant information in a crisp and digestible manner that delivers valuable insights to both technical and non-technical audiences Provide regular coaching to juniors on advanced analytical concepts 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. Who we are looking for? Min 2-4 years experience in data-driven techniques including exploratory data analysis and data pre-processing, machine learning to solve business problems Bachelors degree in Mathematics, Statistics, Economics , Computer Science, or related field MBA degree is mandatory Solid foundation in Statistical Modeling, Machine Learning algorithms, GenAI Proficiency in programming languages such as Python, PySpark, SQL or Scala Strong communication and presentation skills to effectively convey complex data insights and recommendations to clients and stakeholders, as well as to engineer high-quality prompts Prior Insurance industry experience is mandatory 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

As a Responsible AI Engineer, your primary role will involve assessing AI systems to ensure adherence to predefined thresholds and benchmarks related to responsible, ethical, and sustainable practices. You will be responsible for designing and implementing technology mitigation strategies to guarantee that systems meet ethical and responsible standards. Your expertise in Responsible AI will be crucial in this role. Your responsibilities will include acting as a Subject Matter Expert (SME) with deep knowledge and experience, utilizing influencing and advisory skills, and making team decisions. Collaboration with multiple teams to contribute to key decisions and providing solutions that are applicable across various teams will be essential. You will be tasked with developing and implementing responsible AI frameworks, conducting audits and assessments of AI systems for ethical compliance, and working with cross-functional teams to integrate responsible AI practices. In order to excel in this role, you must possess proficiency in Responsible AI and have a strong understanding of statistical analysis and machine learning algorithms. Hands-on experience in implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms is essential. Additionally, familiarity with data visualization tools like Tableau or Power BI, as well as data munging techniques including data cleaning, transformation, and normalization, will be required to ensure data quality and integrity. The ideal candidate for this position should have a minimum of 15 years of experience in Responsible AI. This role is based at our Pune office and requires a 15 years full-time education.,

As a Data Science Analyst at McKinsey, you will be part of the Insights & Analytics group, collaborating with consulting teams to tackle analytically complex client problems in the marketing domain. Your role will involve applying analytical and modeling tools, leveraging statistical techniques, and conducting predictive modeling to derive valuable insights. Your responsibilities will primarily focus on client service, with additional tasks related to knowledge development. Key activities will include conducting statistical analysis and modeling for marketing initiatives, developing models for pricing and promotions optimization, providing guidance on analytics projects, contributing to the enhancement of proprietary marketing techniques, and supporting knowledge development efforts. Additionally, you will have the opportunity to coach and mentor new team members, sharing your expertise in business, functional, and technical aspects. Ensuring the delivery of high-quality results within specified timelines and conducting quality checks when necessary will also be part of your role. You will collaborate with the Growth, Marketing & Sales team in either Gurgaon or Bengaluru, primarily supporting the Insights & Analytics group. This team leverages McKinsey's extensive marketing and sales experience to help clients enhance pricing, promotion strategies, and performance management through a combination of software, tailored services, and expertise. McKinsey Solutions, a rapidly expanding segment of the firm, is seeking professionals like you to join its team. With a focus on innovation through analytics, design thinking, mobile, and social solutions, McKinsey Solutions aims to develop new products/services and incorporate them into client projects. By leveraging innovative software, strategic partnerships, and a culture of entrepreneurship, McKinsey is redefining its approach to consulting. To qualify for this role, you must hold a master's degree in statistics, economics, econometrics, computer science, engineering, mathematics, or MBA with a strong quantitative background. Additionally, you should have at least 2 years of relevant experience in analytics, statistics, or advanced analytics. Proficiency in statistical programming languages such as Python, and experience working with large datasets using R and SQL, is essential. Strong analytical, problem-solving, and forecasting skills, along with expertise in regression analysis and segmentation work, are required. Familiarity with modeling techniques like logistic regression, linear regression, cluster analysis, and CHAID is preferred. Industry experience in consumer goods, telecom, or retail is a plus, and the ability to thrive in a dynamic and fast-paced environment, where priorities may shift frequently, is crucial. You should be comfortable working under pressure and meeting tight deadlines to excel in this role.,

We are a technology-led healthcare solutions provider driven by our purpose to enable healthcare organizations to be future-ready. Our goal is to offer accelerated, global growth opportunities for talent that is bold, industrious, and nimble. At Indegene, you will gain a unique career experience that celebrates entrepreneurship and is guided by passion, innovation, collaboration, and empathy. If you are looking to explore exciting opportunities at the convergence of healthcare and technology, visit www.careers.indegene.com. Are you ready to jump-start your career We understand the importance of the first few years of your professional journey, which lay the foundation for your entire career. At Indegene, we promise you a differentiated career experience where you will work at the exciting intersection of healthcare and technology and be mentored by industry experts. We offer a global fast-track career path that aligns with Indegene's high-speed growth. We are purpose-driven, enabling healthcare organizations to be future-ready, with customer obsession as our driving force. Our approach is bold in actions, nimble in decision-making, and industrious in our work ethic. If this excites you, then apply for the role of Senior Data Analyst at Indegene. Overview: We are seeking a dynamic and experienced Senior Data Analyst to join our team. As a Senior Data Analyst, you will play a pivotal role in creating and designing machine learning (ML) and analytics solutions in the pharmaceutical analytics domain. Key Responsibilities: - Collaborate with managers and onshore counterparts to assess client requirements and objectives, including implementing Omnichannel strategy - Analyze large and complex datasets related to sales, call plans, market share, patient outcomes, field segmentation, and more - Conduct ad hoc analyses to address specific business questions from cross-functional teams - Ensure data quality, accuracy, and consistency through regular quality checks, test cases, and validations - Utilize statistical and machine learning techniques to build predictive models (e.g., patient journey analysis, sales forecasting, MMx modeling) - Guide junior analysts and provide technical mentorship, especially in MLOps using DSS, ETL using Snowflake, and Pyspark coding Desired Profile - Qualifications: - Bachelor's or Master's degree in Computer Science, Data Science, or Pharmaceutical Sciences - 5 years of experience in leading analytical projects in the pharma domain - 3 years of experience in advanced analytics, including AI, machine learning, predictive modeling, advanced analytics, and statistical modeling - Experience in pharma commercial analytics is a plus - Proven track record of successfully implementing Omnichannel strategy or similar technologies in the pharmaceutical or related industry - Strong understanding of the pharma ecosystem, key data sources, industry trends, and compliance requirements - Excellent understanding of machine learning techniques and algorithms - Proficiency in data science techniques and tools including Python, SQL, PySpark, Dataiku, AWS cloud services, Git, Tableau, PowerBI, etc. - Experience in MLOps is an advantage - Strong analytical and problem-solving abilities with attention to detail - Willingness to work in a highly demanding and result-oriented team environment - Excellent communication skills to convey complex ideas clearly This is an equal opportunity position based in Bangalore, KA, IN.,

At Dark Matter Technologies, you are part of a cutting-edge revolution in loan origination. The company's commitment to advanced AI and origination technology solutions is reshaping the industry landscape, paving the way for seamless, efficient, and automated experiences. As a Senior Data Scientist at Dark Matter Technologies, you will play a pivotal role in applying data science and machine learning techniques to tackle complex business challenges and foster innovation. With a minimum of 10 years of experience in the field, your expertise will be pivotal in designing, developing, and implementing sophisticated models for regression, predictions, ranking, and trend analysis. Your responsibilities will include selecting features, building, and optimizing classifiers using machine learning techniques, conducting hypothesis testing, and developing predictive models. Collaborating with cross-functional teams, including data engineers, front-end developers, and security specialists, you will integrate AI models into business solutions. Additionally, you will conduct research and experiments to enhance AI models and algorithms, staying updated on the latest AI/ML technologies and trends. To excel in this role, you must possess at least 10 years of experience in Predictive Analytics and Data Mining, with hands-on expertise in areas such as Linear Regression, Classification Techniques, Logistic Regression, and Unsupervised Learning techniques like k-means/hierarchical clustering. Proficiency in Optimization methods, working in R/Python, T-SQL, and graph-based models is essential. Hands-on experience with Python, Azure Machine Learning, and other Azure AI tools is highly desirable. Your role will involve developing and deploying machine learning models for various use cases, optimizing models through advanced feature engineering, working with large-scale datasets, and collaborating with stakeholders to design data science solutions that address organizational needs. Strong problem-solving skills, solid understanding of statistical analysis and machine learning algorithms, and excellent communication skills are key attributes for success in this position. Preferred skills include exposure to machine learning libraries like Scikit-learn, TensorFlow, or PyTorch, leveraging Azure Machine Learning for data pipelines, experiments, and deployments, and implementing end-to-end AI solutions using Azure AI services. Certification in Microsoft Azure AI relative to Azure Machine Learning, expert database knowledge in SQL, and proficiency in Azure Data Services are advantageous. Join Dark Matter Technologies to be at the forefront of data science innovation and contribute to reshaping the future of loan origination through advanced AI technologies and solutions.,

Responsible for PPNR model development for Non-Interest Income, Net Interest Income, Expense, Deposit, Balance models. Ensures regular production of analytical work. Development of CCAR models (PD/EAD/LGD) , CECL models (PD/EAD/LGD) and Basel models (PD/EAD/LGD). Collaborates with regulators, Audit Services, and other independent reviewers. Evaluates existing framework in relation to corporate objectives and industry leading practices. Assesses development needs and manages process to achieve desired future state. Supports stress testing, capital quantification and/or internal capital allocation methodologies. Ensures that modelling approaches meet both internal corporate needs and regulatory requirements related to prevailing regulatory guidance. Provides technical/theoretical inputs to resolve risk issues and enhance overall risk framework. Works with other risk or business unit teams to ensure that risk management policies/processes and quantitative modelling approaches are consistent. Provides communication and training efforts to promote understanding of risk measurement throughout the company Operates independently; has knowledge of banking balance sheets and income statements. Conducts analysis, independently ensuring accuracy and completeness. Responsible for interaction with different committees and/or senior management. Strategic in developing, implementing and administering programs within Risk Management for specific product(s). Qualification: Master in Statistics/ Economics/Mathematics/advanced degree in quant area Or B.tech. From tier 1 college with MBA in related field Skills Required: Strong BASEL, CCAR and DFAST, FRY-14A, SR-11/7 understanding. Strong regulatory understanding 3+ years of hands on model building experience Strong conceptual and technical knowledge of risk concepts and quantitative modelling techniques including familiarity with statistical concepts used in stress testing Strong in quantitative skills experience in model validation a plus Experience in R, SAS, Matlab , advanced Excel techniques and VBA programming. SAS is preferred Strong Experience in building linear regression models, Nonlinear regression, time series modeling (ARIMA, AR, VAR, MA ) and stochastic process Strong organizational and interpersonal skills Excellent verbal and written communication skills (English) Experience of working in a multi-cultural and global environment Related Industry qualification (e.g., CFA, FRM) a plus Working with Us: As a Northern Trust partner, greater achievements await. You will be part of a flexible and collaborative work culture in an organization where financial strength and stability is an asset that emboldens us to explore new ideas. Movement within the organization is encouraged, senior leaders are accessible, and you can take pride in working for a company committed to assisting the communities we serve! Join a workplace with a greater purpose. We d love to learn more about how your interests and experience could be a fit with one of the world s most admired and sustainable companies!

Join us as a Software Engineer This is an opportunity for a driven Software Engineer to take on an exciting new career challenge Day-to-day, you'll build a wide network of stakeholders of varying levels of seniority Its a chance to hone your existing technical skills and advance your career Were offering this role at associate vice president level What you'll do In your new role, youll engineer and maintain innovative, customer centric, high performance, secure and robust data science solutions. Youll be working within a feature team and using your extensive experience to engineer software, scripts and tools that are often complex, as well as liaising with other engineers, architects and business analysts across the platform. Youll be proactively bringing together statistical, mathematical, machine learning and software engineering skills to consider multiple solutions, techniques, and algorithms. In addition, youll be: Working with stakeholders to understand their complex requirements and needs of the business, form hypotheses and identify suitable statistical models to meet those needs Working in permanent teams who are responsible for the full life cycle, from initial development, through enhancement and maintenance to replacement or decommissioning Collaborating to optimise our software engineering capability Selecting, building, training, and testing complex machine models, considering model valuation, model risk, governance, and ethics throughout to implement and scale models Designing, producing, testing and implementing our working code Working across the life cycle, from requirements analysis and design, through coding to testing, deployment and operations The skills you'll need Youll need at least eight years of experience in statistical modelling , software engineering, software design, architecture, and an understanding of how your area of expertise supports our customers. Youll also need: Experience of using statistical software, database languages and big data technologies Experience in Python, building machine learning and statistical models Understanding to statistical techniques like linear regression, logistic regression, random forest, time series and K Means Experience in Azure Cloud technology Experience of turning business requirements into a statistical modelling solution

About The Role Management Level: Ind & Func AI Decision Science Analyst Level 11 Location: Gurgaon / Bangalore / Mumbai / Hyderabad Must-have skills: Marketing Analytics, Data Driven Merchandizing (Pricing/Promotions/Assortment Optimization), Statistical Timeseries Models, Store Clustering Algorithms, Descriptive Analytics, State Space Modeling, Mixed Effect Regression, NLP Techniques, Large Language Models, Azure ML Tech Stack, SQL, R, Python, AI/ML Model Development, Cloud Platform Experience (Azure/AWS/GCP), Data Pipelines, Client Management, Insights Communication Good to have skills: Non-linear Optimization, Resource Optimization, Cloud Capability Migration, Scalable Machine Learning Architecture Design Patterns, Econometric Modeling, AI Capability Building, Industry Knowledge:CPG, Retail Job Summary As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading statistical tools, methods, and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. Roles & Responsibilities: Working through the phases of project Define data requirements for Data Driven Growth Analytics capability. Clean, aggregate, analyze, interpret data, and carry out data quality analysis. Knowledge of market sizing, lift ratios estimation. Experience in working with non-linear optimization techniques. Proficiency in Statistical Timeseries models, store clustering algorithms, descriptive analytics to support merch AI capability. Hands on experience in state space modeling and mixed effect regression. Development of AI/ML models in Azure ML tech stack. Develop and Manage data pipelines. Aware of common design patterns for scalable machine learning architectures, as well as tools for deploying and maintaining machine learning models in production. Knowledge of cloud platforms and usage for pipelining and deploying and scaling elasticity models. Working knowledge of resource optimization Working knowledge of NLP techniques, Large language models. Manage client relationships and expectations and communicate insights and recommendations effectively. Capability building and thought leadership. Logical Thinking Able to think analytically, use a systematic and logical approach to analyze data, problems, and situations. Notices discrepancies and inconsistencies in information and materials. Task Management Advanced level of task management knowledge and experience. Should be able to plan own tasks, discuss and work on priorities, track, and report progress . Professional & Technical Skills: Must have at least 2+ years of work experience in Retail/CPG - Marketing analytics with a reputed organization. Must have knowledge of SQL, R & Python language and at-least one cloud-based technology (Azure, AWS, GCP) Must have knowledge of building price/discount elasticity models and conduct non-linear optimization. Must have good knowledge of NLP models, Large Language Models and applicability to industry data. Must have AI capability migration experience from one cloud platform to another. Manage documentation of data models, architecture, and maintenance processes Additional Information: Bachelor/Masters degree in Statistics/Economics/ Mathematics/ Computer Science or related disciplines with an excellent academic record Knowledge of CPG, Retail industry. Proficient in Excel, MS word, PowerPoint, etc. Strong client communication. About Our Company | Accenture Qualification Experience: Must have at least 2+ years of work experience in Retail/CPG - Marketing analytics with a reputed organization. Educational Qualification: Bachelor/Masters degree in Statistics/Economics/Mathematics/Computer Science or related disciplines. Preferred advanced degrees include M.Tech, M.Phil/Ph.D in Statistics/Econometrics or related field from reputed institutions.