122 Linear Regression Jobs - Page 3

Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose the relentless pursuit of a world that works better for people we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. Inviting applications for the role of Business Analyst Data Scientist In this role, the person is responsible for developing and implementing NLP models and algorithms, extracting insights from textual data, and collaborating with cross-functional teams to deliver AI solutions. Responsibilities Model Development: Familiar with different statistical, ML and ensemble algorithms Proficient with Time series algorithms and forecasting usecases Understand model specific strengths and weaknesses and know-how of suitable and unsuitable models for different problems Understand evaluation metrics and recommend the correct evaluation metric for a problem type Data Analysis: Extract meaningful insights from structured data. Preprocess data for ML / AI applications Collaboration: Work closely with data scientists, engineers, and business stakeholders. Provide technical guidance and mentorship to team members. Integration and Deployment: Integrate ML models into production systems. Implement CI/CD pipelines for continuous integration and deployment. Documentation and Training: Document processes, models, and results. Provide training and support to stakeholders on NLP techniques and tools. Qualifications we seek in you! Minimum Qualifications / Skills Bachelor's degree in computer science, Engineering, or a related field. Strong programming skills in Python and R Experience with DS frameworks (SKLEARN, NUMPY). Knowledge of machine learning concepts and frameworks (TensorFlow, PyTorch). Strong problem-solving and analytical skills. Excellent communication and collaboration abilities. Preferred Qualifications/ Skills Predictive Analytics Experience inMachine Learning techniques Experience in Python/R/ Any other open-source programming language Building and implementing models, using/creating algorithms and creating/running simulations using a variety of Tools Good to have - Experience in visualization tools such as Tableau, Power BI, Qlikview etc. Good applied statistics skills, such as distributions, statistical testing, regression, etc. Knowledge and experience of tools/techniques: Forecasting, Linear Regression, Logistic Regression, Regularization, Segmentation (Decision Trees, CHAID, CART), Cluster Analysis, Factor Analysis, variable screening, Machine Learning Random Forest, Gradient Boosting, SVM, XGBoost, Deep Learning etc. Experience with big data technologies (Hadoop, Spark). Knowledge of cloud platforms (AWS, Azure, GCP). Job Business Analyst Primary Location India-Hyderabad Education Level Bachelor's / Graduation / Equivalent Job Posting Apr 1, 2025, 8:47:23 AM Unposting Date May 1, 2025, 7:29:00 PM Master Skills List Digital Job Category Full Time,

Role & responsibilities The Assistant Manager/Deputy Manager Business Analysis is responsible for solving unstructured business problems using advanced analytics, developing data-driven strategies to improve profitability and processes in the collections business , and presenting insights to global leadership. The role includes both technical analytics execution and strategic implementation ownership with VP-level stakeholder interaction. PRINCIPAL RESPONSIBILITIES Coach new team members on technical skills and business knowledge Develop and implement analytics best practices and knowledge management practices Makes recommendations to improve business profitability or processes. Estimate opportunity size and develop business case. Manage implementation of ideas and project plans with minimal support. Present and share data with other team members and to leadership independently. Understand end-to-end business processes. Independently extract, prepare and analyze gigabytes of data to support business initiatives (e.g. profitability, performance, variance analysis etc). Develop solutions with minimal support. Develop techniques and computer algorithms for data analysis for making it meaningful and actionable. Preferred Qualifications (Education & Experience) Experience: 26 years in analytics/consulting, with 2+ in financial services. Skills: SQL, Python (Pandas, PySpark), Azure (Must) Excel, PowerPoint. Traits: Strong problem-solving, project management, and communication/storyboarding skills. Education: Bachelor's/Masters with strong and consistent academic record in Engineering or quantitative/statistical background preferred.

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.

Job Overview This position supports organizational strategy and operations through design and statistical analysis of business initiatives and experiments. Works with business partners to understand what the business needs and issues are to address. Applies advanced knowledge of statistics and data mining (e.g., predictive modeling, simulation) or other mathematical techniques to recognize patterns and create insights from business data. Designs, develops, and evaluates statistical and predictive models that lead to business solutions. Serves as lead statistician for the unit, providing expertise, oversight and guidance on statistical analysis efforts. Communicates findings and recommendations to management across different departments. Supports implementation efforts Experience & Education: Total experience of 10-15 years (relevant Analytics experience at least : 8 years and minimum of 3-4 Years As manager handling Team directly.) Industry Experience and knowledge especially in Manufacturing/ Operations Functions in a energy sector, automotive, Manufacturing, Process or Pharma preferred. Bachelors degree in data science, Computer science, Electrical Engineering, Applied Statistics, or Physics with 12+ years of relevant work experience in Data Science, Artificial Intelligence or Machine Learning algorithm development Master’s degree in data science, Computer science, Electrical Engineering, Applied Statistics, or Physics with 10+ years of relevant work experience in Data Science, Artificial Intelligence or Machine Learning algorithm development. PhD degree in Data Science, Computer science, Electrical Engineering, Applied Statistics, or Physics with 8+ years of relevant work experience in in Data Science, Artificial Intelligence or Machine Learning algorithm development Essential Responsibilities: Statistical Analyis & Model Development Works with business partners to identify and scope new opportunities for statistical analysis applications to evaluate business performance and to support business decisions. Works internally and with I/S and Enterprise Data Management to define, secure and prepare datasets for statistical modeling. Explores data using a variety of statistical (e.g., data mining, regression, cluster analysis) techniques to answer business questions or guide future model development. Builds programs for running statistical tests on data and for understanding correlation of various attributes. Builds hypotheses, identifies research data attributes and determines best approach to address business issues. Working with business partners, leads development of experimental design for business initiatives. Applies advanced statistical techniques, including analysis of variance, t-tests, factor analysis, regression and multivariate analyses or simulation, to analyze the effects of business initiatives. Builds predictive models (e.g., logistic regression, generalized linear models) as appropriate to support business partner objectives. Builds and deploys computer vision models (e.g., image classification, object detection, segmentation) to meet business needs. Prepares testing scenarios and tests model performance. Incorporates findings and provides insights as part of model development and enhancement. Provides guidance and direction related to statistical analysis to less experienced Data Science & Analytics staff as needed. Provides peer review related to analytics methods and results. Responsible for advanced analytics, including experimental design and analysis, for the most complex business experiments. Model Consultation, Implementation, & Communication Serves as statistical expert within the unit as well as in consultation to various areas of the business, to support design and analysis of business experiments. Leads analytics projects or components related to large, complex business initiatives. Prepare recommendations and findings for business partners. Works with research and analytics staff and other areas of the business on model application and implementation. Effectively communicates and delivers statistical and predictive model results to business partners, supporting socialization and adoption of analysis results into business activities and decisions. Assists with knowledge transfer and training to business areas regarding new analytics applications as part of implementation process. Works closely with business stakeholders to identify and answer critical questions. Assists in development of standard analytical approaches and methodologies for the department. Provides knowledge transfer and training on new modeling and statistical analysis tools and methodologies to less experienced staff. Industry Research Researches and maintains awareness of industry best practices and business strategies. Proactively brings in new and innovative ideas and approaches to develop business solutions. Researches and leverages new statistical techniques and technologies to apply in their statistical research work. Required Skills/Competencies: Minimum of 8+ years of Handson experience in advanced Machine Learning & Deep Learning techniques and algorithms such as Decision Trees, Random Forests, SVMs, Regression, Clustering, Neural Networks, CNNs, RNNs, LSTMs, Transformers, etc. 6+ years of experience in experience in statistical computer languages (Python, PySpark etc.) to manipulate data and draw insights from large data sets 5+ years of experience in Cloud platforms like AWS with specific experience of leveraging AWS services and deploying AI / ML models on these platforms Experience in DL frameworks such as TensorFlow, Keras or PyTorch Familiarity with business intelligence tools (e.g. Qlikview) and data frameworks will be an added advantage. Proficient with programming languages and statistical software tools (Python, SAS, R, JMP or similar), relational databases (SQL server), data analysis and visualization software (preferably PowerBI, SAS). Experienced with standard data science and machine learning packages such as Numpy, Pandas, Matplotlib, seaborn, bokeh, plotly Have solid understanding of the machine learning model stack (regression, classification, neural networks, time series) and packages (Scikit learn, Xgboost, Keras, Pytorch, Tensorflow, statsmodels) Have solid understanding of the machine learning model tradeoffs such as hyper-parameter tuning, regularization, cross-validation, skewness in data, dimensionality reduction, and complexity vs interpretability. Knowledge of and experience with utilizing advanced descriptive statistics and analysis techniques (such as forecasting, analysis of variance, t-tests, categorical data analysis, nonparametric data analysis, cluster analysis, factor analysis and multivariate statistical analysis) design business experiments and measure the impact of business actions. Handson experience in statistical and data science techniques Knowledge and experience in developing and deploying Gen AI Solution. Strong communication skills to work with groups, and experience with communicating business implications of complex data relationships and results of statistical models to multiple business partners. Strong self-direction, initiative, and ability to prioritize multiple tasks from various requestors, demonstrated ability to manage multi-faceted projects Excellent Technical Presentation Skills Leadership & Soft skills: Lead by example on values and culture. Open-minded, collaborative and an effective team player. Ability to work in a multicultural and diverse team. Driven for success and aspiring to a culture of service excellence, always putting the customer, our people and our business at the center of everything he/she does. Ability to deal with ambiguity. Ability to communicate openly and effectively with many diverse stakeholders, with external vendors and auditors, and with staff. Ability to work proactively and under pressure considering the criticality required to ensure the right quality of service for the business.

Entity :- Accenture Strategy & Consulting Job location :- Mumbai About S&C - Global Network :- Accenture 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 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 large projects / 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 Practice Enablement Guide junior team members. Support development of the Practice by driving innovations, initiatives. Develop thought capital and disseminate information around current and emerging trends in Risk. Qualification Who we are looking for 7 - 12 years of relevant Risk Analytics experience at one or more Financial Services firms, or Professional Services / Risk Advisory with significant exposure to one or more of the following areas: 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 Anti Money Laundering AML scenarios/alerts, Network Analysis 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. Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

Entity :- Accenture Strategy & Consulting Team :- Strategy & Consulting Global Network Practice :- Marketing analytics Title :- Analyst/Consultant Job location :- Gurgaon About S&C - Global Network :- Accenture Applied Intelligence 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. WHATS IN IT FOR YOU As part of our Analytics practice, you will join a worldwide network of over 20,000 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. Accenture will continually invest in your learning and growth. You'll work with Data Driven Merchandizing experts, and Accenture will support you in growing your own tech stack and certifications. In Applied intelligence you will understand the importance of sound analytical decision-making, relationship of tasks to the overall project, and executes projects in the context of a business performance improvement initiative. What you would do in this role Working through the phases of project Define data requirements for Data Driven Merchandizing capability. Clean, aggregate, analyze, interpret data, and carry out data quality analysis. 3+ years of experience in Data Driven Merchandizing which involves work experience in Pricing/Promotions/Assortment Optimization capabilities across retail clients. Knowledge of price/discount elasticity 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. Develop and Manage Data within different layers of Snowflake environment. 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 Price/Promo optimization Working along with the team and consultant/manager Well versed with creating insights presentations and client ready decks. Should be able to mentor and guide junior resources. Should have strong communication skills. 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. Basic level of task management knowledge and experience. Should be able to plan own tasks, discuss and work on priorities, track, and report progress. Qualification Who we are looking for Analyst with 2+ years & Consultant with 4+ years of work experience in consulting/analytics with a reputed organization. Master degree in Statistics/Econometrics/ Economics or B Tech/M Tech or Masters/M Tech in Computer Science or M.Phil/Ph.D in statistics/econometrics or related field from reputed college 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 state space & mixed-effect modeling techniques and optimization algorithms 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 Have an understanding of econometric/statistical modeling and analysis techniques such as regression analysis, hypothesis testing, multivariate statistical analysis, time series techniques, optimization techniques, and statistical packages such as R, Python, SQL, PySpark. Proficient in Excel, MS word, PowerPoint, etc. Strong client communication. Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

Salary : 30 to 45 LPA Exp: 6 to 10 years Location :Hyderabad (Hybrid) Notice: Immediate to 30 days..!! Roles & responsibilities: 5+ 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 5+ 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.

Duties and Responsibilities: Large scale data analysis and data mining to come up with portfolio insights for both Retail and WBG portfolio Statistical modeling (ML / regression models) and segmentation thru decision tree to help solving key business problems Help plan and design business processes and make recommendations for improvement Assist in resolving business issues using systems and data Estimate costs and benefits of multiple actions and/or solutions and provide recommendations Help launch new initiatives, campaigns, analytical solutions, along with robust tracking Help in running standard and analytical dashboard/ MIS Requirement: Experience : 6+ years in analytics industry ( Finance / Banking industry preferred ) B Tech/ MBA from premier institute Knowledge of SQL is must with high proficiency Knowledge on statistical model building is must (Logistics regression, Linear regression etc) Knowledge of Python/ R is preferred Knowledge of Statistics Linear Regression, Exploratory Data Analysis, etc. Excellent critical thinking and problem-solving skills Good written and verbal communication skills Detail-oriented with strong organizational skills Location: Mumbai

Data ScientistWhat you will be doingUnderstand business problems and translate business requirements into technical requirements.Conduct complex data analysis to ensure data quality & reliability i.e., make the data talk by extracting, preparing, and transforming it.Identify, develop and implement statistical techniques and algorithms to address business challenges and add value to the organization.Gather requirements and communicate finding in the form of a meaningful story with the stakeholders.Build & implement data models using predictive modelling techniquesInteract with clients and provide support for queries and delivery adoption.Lead and mentor data analysts.What we are looking forApart from your love for data and ability to code even while sleeping you would needthe following.Minimum of 3 years of experience in designing and delivery of data science solutions.You should have successful projects of retail / BFSI / FMCG / Manufacturing / QSR in your kitty to show-off.Deep understanding of various statistical techniques, mathematical models, and algorithms to start the conversation with the data in hand.Ability to choose the right model for the data and translate that into a code using R, Python, VBA, SQL, etcDecision Tree, Linear regression, Statistical Modelling, Predictive modellingBachelors/Masters degree in Engineering/Technology or MBA from Tier-1 B School or MSc. in Statistics or Mathematics

Senior Data and Applied Scientist - Advertising Join Pattern's innovative Data Science team as a Senior Data and Applied Scientist, where you'll leverage your expertise to optimize advertising spend on ecommerce platforms. Pattern is a leading ecommerce company that helps brands grow their business on platforms like Amazon. What Youll Do : Design, build, and maintain machine learning and statistical models to optimize advertising campaigns, enhancing search visibility and conversion rates on ecommerce platforms. Continuously improve the quality of our machine learning models, focusing on key metrics like search ranking, keyword bidding, CTR, and conversion rate estimation. Conduct research to integrate new data sources, innovate in feature engineering, fine-tune algorithms, and enhance data pipelines for robust model performance. Analyze large datasets to extract actionable insights that guide advertising decisions. Collaborate closely with teams across different regions (US and India) to ensure seamless collaboration and knowledge sharing. Dedicate 20% of your time to MLOps for efficient, reliable model deployment and operations. What Were Looking For: Bachelor’s or Master’s in Data Science, Computer Science, Statistics, or a related field. 3-6 years of industry experience in building and deploying machine learning solutions. Strong data manipulation and programming skills in Python and SQL, with hands-on experience using libraries such as Pandas, Numpy, Scikit-Learn, and XGBoost. Strong problem-solving skills and the ability to analyze complex data. In-depth expertise in a range of machine learning and statistical techniques, such as linear and tree-based models, along with an understanding of model evaluation metrics. Experience with Git, AWS, Docker, and MLFlow is advantageous. Additional Pluses: Portfolio: An active Kaggle or GitHub profile showcasing relevant projects. Domain Knowledge: Familiarity with advertising and ecommerce concepts, which would help in tailoring models to business needs. Explore more about Pattern and our innovative approach to ecommerce here.

Job Brief: We are looking for a highly motivated Data Scientist with strong experience in machine learning and deep learning . The role involves building scalable predictive models and working on business-critical analytics solutions across industries such as insurance, banking, and healthcare. Requirements: 3+ years of hands-on experience in ML model development. Strong in Python , Pandas , NumPy , Scikit-learn , and XGBoost Knowledge of time series modeling , model validation techniques , and feature selections Experience with deep learning frameworks: TensorFlow , Keras , or PyTorch . Strong analytical thinking and problem-solving skills.

Role & responsibilities The Assistant Manager/Deputy Manager is primarily responsible for using analytics tools to perform unstructured problem solving and in-depth analysis of programs and opportunities in the collections business. You will make recommendations to improve the business profitability or operational processes based on their analysis and design strategies to implement those recommendations. The role is also responsible to own syndication of findings with VP level leaders globally and manage implementation with support. PRINCIPAL RESPONSIBILITIES Coach new team members on technical skills and business knowledge Develop and implement analytics best practices and knowledge management practices Makes recommendations to improve business profitability or processes. Estimate opportunity size and develop business case. Manage implementation of ideas and project plans with minimal support. Present and share data with other team members and to leadership independently. Understand end-to-end business processes. Independently extract, prepare and analyze gigabytes of data to support business initiatives (e.g. profitability, performance, variance analysis etc). Develop solutions with minimal support. Develop techniques and computer algorithms for data analysis for making it meaningful and actionable. Preferred Qualifications (Education & Experience) Education: Bachelor's/Masters with strong and consistent academic record in engineering, quantitative or statistical field.. 2.5 to 7 years' experience in analytics or consulting including 2+ years in Financial Services. Expert knowledge of Azure / Python incl. Pandas, Pyspark / SQL. Demonstrated experience in unstructured problem solving and strong analytical aptitude. Advanced use of MS Office (Excel, PowerPoint). Strong Communication (Written and Verbal) Storyboarding and Presentation Skills Project Management. Ability to multitask. Need Excellent Communication skills.

: Job TitleCorporate Banking Strats Corporate TitleAssociate Location Mumbai, India Role Description Deutsche CIB Centre Pvt Ltd is Deutsche banks global platform for front-office & aligned functions to create value by utilizing non-traditional locations, exceptional talent and a collaborative culture. This branch of Deutsche Bank Group company is looking for extremely bright candidates for the role of Corporate Banking Strats. The candidate is required to work in collaboration with London/New York team on various quantitative and regulatory driven projects. He is required to understand the business problem, gather information required for the implementation and provide an end-to-end optimized solution on a scalable platform. Implementation of the project needs to be done in Python and C++ programming language. Candidate should possess a very good English communication skill in order to coordinate and communicate his work effectively with various stakeholders spread across globe. What well offer you: 100% reimbursement under child care assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities Centralization and automation of Risk in Banking Book for Corporate Banking business Understand and decipher business problem to convert into manageable smaller problem statements Coordinate and gather information from various stakeholders for deeper understanding of the business Design an automated solution which is optimized and scalable Develop and design tables and databases required for the storage of the data Develop applications/libraries for the implementation of the Develop applications/libraries for the implementation of the soliton Your skills and experience Technical Skills- Strong educational background in Engineering/Science, preferably from good colleges in India Programming Skills At least 3 years experience in Python programming At least 2 years experience with relational database design (oracle, mysql) Good knowledge of C++ programming concepts ( Class, Pointers, Data structure stacks, queue) Quant/Analytical Skills Experience with applied econometrics (Hypothesis testing, PCA, Linear/Non-Linear Regression etc) Knowledge of applied linear/Integer linear programming, dynamic programming & greedy algorithms Experience/Knowledge of working with big data (data science) Behavioral Skills Strong communication skills and presentation ability with attention to detail Good problem solving instincts and strong analytical skills How well support you About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

company name=Apptad Technologies Pvt Ltd., industry=Employment Firms/Recruitment Services Firms, experience=5 to 10 , jd= Job Title:-SAP CO Product Cost ControllingJob Location:- KolkataJob Type:- Full-Time:- Apptad is looking for SAP CO Product Cost Controlling Profile. It is a full-time/long-term job opportunity with us. 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 - Lead the effort to design, build, and configure applications - Act as the primary point of contact for the project - Manage the team and ensure successful project delivery Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP CO Product Cost Controlling - Strong understanding of statistical analysis and machine learning algorithms- Experience with data visualization tools such as Tableau or Power BI- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity, Title=SAP CO Product Cost Controlling, ref=6566364

Essential Duties Responsibilities: o Perform basic descriptive data analysis o Implement and assess different ways of data transformation o Formulate business problems into math/statistics/machine-learning problems o Build math/statistics/machine-learning models in a scientific way o Carry out hypothesis tests in a scientific way o Do model selection and model diagnostics o Actively participate in research meetings o Support the research team by creating desired datasets Qualifications: o Good communication skills o Excellent analytical and data science skills with strong attention to detail o Good Python programmers with good knowledge of pandas/numpy/sklearn o Graduate level math and statistics knowledge is preferred o Knowledge in machine learning, NLP knowledge is a plus o Ability to communicate complex information clearly o Ability to work independently o Team player and open to new ideas

Required Skills & Qualifications: - 57 years of industry experience building and deploying machine learning models. - Strong proficiency with machine learning algorithms including XGBoost, linear regression, and classification models. - Hands-on experience with AWS SageMaker for model development, training, and deployment. - Solid programming skills in Python (and relevant libraries such as scikit-learn, pandas, NumPy, etc.). - Strong understanding of model evaluation metrics, cross-validation, hyperparameter tuning, and performance optimization. - Experience in working with structured and unstructured datasets. - Knowledge of best practices in model deployment and monitoring in a production environment (ML Ops desirable). - Familiarity with tools like Docker, Git, CI/CD pipelines, and AWS ML services. - Excellent problem-solving skills, critical thinking, and attention to detail. - Strong communication and collaboration skills. Nice to Have: - Experience with additional AWS services like Lambda, S3, Step Functions, CloudWatch. - Exposure to deep learning frameworks like TensorFlow or PyTorch. - Familiarity with DataOps practices and agile methodologies. Mandatory Competencies Data Science - Machine learning Python - Numpy Data Science - Python Python - Panda Data Science - AWS Sagemaker

We have a requirement on OFSAA/FCCM for one of our clients for contract to Hire role. Job Details: Skills: OFSAA/FCCM Experience: 4+ Years Location: PAN INDIA Job type: Contract to Hire Job Description:- 1. OFSAA/FCCM Primary Skills are : OFSAA , FCCM suite of product specializing on Enterprise case management(ECM). Hands on Experience in ECM Correlation. Hands on experience in running batch through OFSAA RRF. Familiar in ECM Security Attributes and configuration Understanding of ECM Integration with Third Party Applications Job Description: Should have minimum 3 to 5 years of total experience, of which the resource should have worked on OFSAA project for minimum 1 years or worked with OFSS for minimum 1-3 years in his career Working Knowledge in FCCM suite of product specializing on Enterprise case management and upgrading from old version to 8.0.x version Hands on experience in ECM/AML Installation. Have hands on experience on migrating ECM Case from FCCM 6.x version. Working knowledge in Data Movement from FCCM BD to ECM. Hands on Experience in ECM Correlation. Hands on experience in running batch through OFSAA RRF. Familiar in ECM Security Attributes and configuration Understanding of ECM Integration with Third Party Applications

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

Skill required: Insight Engine - Analytics Insights Designation: Analytics and Modeling Analyst Qualifications: Any Graduation Years of Experience: 3 to 5 years About Accenture 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. 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

AI/ML Engineer to join our fast-growing. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and AI-driven applications that deliver business value and customer impact. Key Responsibilities Research and develop machine learning models using supervised, unsupervised, or reinforcement learning techniques. Deploy models into production using MLOps best practices (e.g., containerization, CI/CD, model monitoring). Work on datasets involving structured and unstructured data (e.g., text, image, video, time-series). Collaborate with data engineers, product managers, and other stakeholders to define problem statements and deliver solutions. Continuously improve model performance and scalability using experimentation and model evaluation techniques. Stay updated with the latest trends and breakthroughs in AI/ML (e.g., LLMs, transformers, generative AI). Required Qualifications Bachelors/Masters/Ph.D. in Computer Science, Artificial Intelligence, Data Science, or a related field. Strong coding skills in Python (must), with knowledge of libraries like scikit-learn, PyTorch, TensorFlow, Hugging Face, OpenCV , etc. Experience building and tuning ML models from scratch. Solid understanding of ML lifecycle, from data preprocessing to model deployment. Hands-on with SQL , data manipulation tools ( Pandas , NumPy ), and visualization tools ( Matplotlib , Seaborn , Plotly ). Experience with cloud platforms (AWS/GCP/Azure) and tools like Docker, Kubernetes, MLflow is a plus. Preferred Skills Exposure to NLP , LLMs , chatbots , speech processing , or computer vision applications. Experience with GenAI models like GPT, DALL•E, or stable diffusion. Knowledge of prompt engineering, vector databases (like FAISS, Pinecone ), or LangChain is a bonus. Publications or participation in AI/ML competitions (e.g., Kaggle, NeurIPS, CVPR) is a strong plus.

Job Title: Associate Director/Consulting Manager (based on fitment). Solution Line: Talent Solutions Consulting. Position Type: Full Time. Work Mode: In Office. People Manager Role: Yes. Annual Revenue Responsibility: Yes. Required Education And Certifications Critical For The Role. Full Time Bachelors/ master’s degree in related discipline (HR, Economics, Statistics, Analytics and Business Administration). B. Work Experience. 9+ years of relevant post qualification experience after completion of masters in the area of compensation & benefits, rewards strategy design, job evaluation, incentive design, skill gap analysis, organization restructuring, talent management projects. Relevant pre-MBA experience in the areas we operate, Technical Skills. Advance Excel, Analytics, Data skill (Preferred). R, VBA, Macros, Predictive Analytics, Statistical Modelling, Linear Regression (Desirable). About Aon. Aon plc (NYSE: AON) is the leading global provider of risk management, insurance and reinsurance brokerage, and human capital consulting solutions. We have more than 66,000 colleagues worldwide,. Aon unites to empower results for clients in over 120 countries via innovative and effective risk and people solutions and through industry leading global resources and technical expertise, TALENT SOLUTIONS CONSULTING. Aon's Talent Solutions Consulting practice delivers solutions to help clients build workforces for the digital age. We accelerate organizations from ordinary to the extraordinary with an unmatched combination of global consulting, and integrated talent analytics. We have more than 300 consultants serving India market helping clients with their most complex challenging problems using deep insights and analytics. We are trusted advisors for wide variety of organizations including BSE500 and work with largest set of early-stage technology organizations in the country, Typically, the projects can cut across some or all the areas below:. Large Industry Compensation Benchmarking Surveys, Large Industry Salary Increase Surveys, Productivity Studies Pay for Performance Advisory Assignments, Compensation & Rewards Advisory (including & not restricted to) Pay Design, Pay Structuring, Rewards Strategy, Job Evaluation, Variable Pay & Incentive Design, Talent Advisory (including & not restricted to) Digital Transformation, Organization Design & Organization effectiveness, Performance management, Scorecard Design, Competency and Career Management Design, Job Overview. Our Associate Directors/Consulting Managers are responsible for high-level project delivery and oversight along with client relationship and revenue management. You will manage teams and advise clients at the highest strategic level on both big-picture and tactical matters, We expect to show ownership, accountability, and extreme learning agility. We would love for you to show us depth not only in solution areas but also in your understanding of how client organization function. You will be a part of highly energized team in consulting and depending on projects you will wear different hats ranging from performing complex analytics, wowing our clients, managing small projects to bringing in sales, Key Responsibilities. Project and Client Relationship Management Lead various Organization & Rewards Consulting assignments for Aon India clients especially in the area of organizational effectiveness; this included partnering with clients around HR system design, employee engagement, organization structuring, rewards benchmarking, pay range design, performance management & scorecard cascading.The incumbent would be responsible for leading a solution within the industry vertical in terms of clients, financial and team collaboration and also ensure timely and profitable delivery of the key projects. Manage client projects from start to finish, translating client needs into analysis and design recommendations across topics such as salary structures, total rewards strategies, equity guidelines, career progression guidelines, Thought Leadership To contribute to thought leadership in the industry sector for India with timely articles, white papers, roundtables, client events. The incumbent will contribute to this through content development, research, marketing events and other such activities, Business Development Focuses on client sales opportunities across hunting and farming. Understands client requirements, is able to explain to the client the solutions being proposed and customizes basis feedback. Listens to client problems without trying to force fit solutions, Pre-Sales Support and Solution DesignProvides support in building winning commercial proposals for clients. Plays the role of a team member in building out complex advisory solutions as part of the sales cycle. Ensures clients problem statement is effectively translated into a working solution. Tailors existing solutions to meet client requirements and where required, co-builds new solutions to meet client requirements where applicable, Skills/Competencies Required. Prior Consulting experience preferred, Excellent Communication and interpersonal skills, Strong domain expertise and presentation skills, Understanding of Market trends and economy, Confidence to present and defend methodology / recommendations to Senior Leaders, Leadership experience in terms of mentoring or developing peers and/or junior team members, Ability to work on complex assignments and lead from the front, Ability to work independently and on a team across multiple projects deadline-oriented environment, Track record of success in terms of historical performance rating and/or utilization (billable hours / total hours), Willingness to travelFlexible to long working hours, What We Look For. You bring a strong analytical ability but a ‘people-focused’ approach as well as the ability to see things from an end-user perspective. You will also have:. A strong passion for translating people data into meaningful insights that can ‘tell a story’,. Intermediate to Advanced skillset with MS Excel and other MS office tools, Commitment to ongoing learning, Project & Client Relationship Management. Insights and report quality. Ability to visualize large sets of data and build stories around it, Passion for driving results and focused on outcome and process, Deal with immense ambiguity and navigate oneself from problem to the solution, WHY CHOOSE US. You will get to work with top notch clients across industries, Opportunity to work in a niche segment with the market leaders in the Consulting Industry, Opportunity to work in a team of international professionals across regions, How We Support Our Colleagues. In addition to our comprehensive benefits package, we are proud to be an equal opportunity workforce. At Aon, we believe a diverse workforce is an innovative workforce. Our agile, inclusive environment allows colleagues to manage their wellbeing and work/life balance while empowering you to be your authentic self, Furthermore, all colleagues enjoy two “Global Wellbeing Days” each year, encouraging them to take time to focus on themselves. We offer a variety of workstyle options through our Smart Working model, but we also recognize that flexibility goes beyond just the place of work,. and we are all for it!. Our continuous learning culture inspires and equips colleagues to learn, share and grow, helping them achieve their fullest potential. As a result, Aon colleagues are more connected, more relevant and more valued, 2556439. Show more Show less

Industry: General Insurance Role Lead Data Scientist Years of Experience 8+ years Purpose of Role In this role, The Candidate should be highly analytical with a knack for analysis, math, and statistics. Critical thinking and problem-solving skills are essential for interpreting data. To help our company analyze trends to make better decisions. Build propensity models, customer segmentations, uplift models, campaign response models, risk, and fraud detection models. Also, Integrate the models with the business processes and consuming systems via ML Ops processes. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to evaluate the effectiveness of different courses of action. Key Accountabilities Responsibilities will include but will not be restricted to: Create models as required by the business with a high degree of precision and recall. Model accuracy and stability are key accountabilities. Understand business priorities and align data science deliverables to ensure the business receives the intelligence and modeling inputs to drive decisions. Work with stakeholders throughout the organization to identify opportunities for using company data to drive business solutions. Undertake preprocessing of structured and unstructured data and analyze large amounts of information to discover trends and patterns. Assess the effectiveness and accuracy of new data sources and data gathering techniques. Coordinate with different functional teams to implement models and monitor outcomes. Recruit, train, develop and supervise Junior level employees. Develop processes and tools to monitor and analyze model performance and data accuracy. Technical Requirements (what) Proven experience of 8+ years as a Data Scientist. Post Graduate degree in Computer Science, Statistics, Engineering, Physics, Mathematics, Econometrics or MBA with a ML/DS focus. Knowledge of SQL and R or Python; familiarity with Scala & SPARK is an asset. Candidates with experience of working on AWS stack will be preferred, however this is not a compulsory requirement. Knowledge and experience in machine learning, optimization, statistical and data mining techniques- regression, simulation, clustering, decision trees, classification algos (bagging/boosting), neural networks. Desired Personal Qualities or Behavior Strong Analytical critical thinking skills and business acumen Strong commitment to professional development. Process Oriented and excellent time management skills. Ability to adapt to new situations and issues and to solve problems. Good organizational, communication, presentational and people skills - with the capability to communicate concisely and effectively equally well with fellow employees, non-technical colleagues and with members and/or customers alike. Only apply if you are matching with above Criteria Work From Office First and last Saturday will be working 60 and 90 Days Notice periods Please don't apply. Interested candidates can share their resumes at - shubhanshi.agarwal@mounttalent.com 7302239534

Entity : - Accenture Strategy & Consulting Team : - Global Network – Data & AI Practice : - CFO & EV - Risk Analytics Title : - Ind & Func AI Decision Science Senior Manager/Manager About S&C - Global Network : - Accenture 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. WHAT’S 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 world’s most recognizable companies. Accenture will continually invest in your learning and growth and will support you in expanding your knowledge. You’ll 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 Accenture’s 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. Who we are looking for? 2-11+ years of relevant Risk Analytics experience at one or more Financial Services/Banking firms, or Professional Services / Risk Advisory with significant exposure to one or more of the following areas: 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 OR other risk and compliance 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 Requirements: Master’s 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. Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

Role & responsibilities As a Principal Data Scientist in our AdTech team, youll drive innovation in our advertising platform using advanced machine learning and statistical methods. Youll tackle complex problems in real-time bidding, ad ranking optimization, budget efficiency, and performance measurement that directly impact our businesss bottom line. This role requires technical excellence and business acumen and youll collaborate with cross-functional teams to transform data insights into actionable strategies that enhance our advertising ecosystem. Preferred candidate profile B.Tech in Computer Science, Machine Learning, or a related field with at least 6+ years of experience in AI/ML research. Experience in auction theory, predictive modelling, causal inference, and reinforcement learning. Expertise in PyTorch or TensorFlow, and proficiency in Python as well as big data technologies. History of mentoring junior data scientists, and comfortable in driving multiple problem statements. Excellent communication skills, able to explain complex concepts to both technical and non-technical audiences. Design and develop sophisticated bidding, budget pacing and other algorithms that optimize ad spend or ROI. Create frameworks and experimental design to measure ad effectiveness and ROI. Collaborate with product and engineering teams to translate business requirements into efficient AI/ML solutions. Communicate long-term roadmap, insights and recommendations to tech and business leadership. Mentor junior data scientists and provide technical guidance. Lead research initiatives in machine learning, auction theory and advertising technology.. Adtech domain experience is mandatory.

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.