40 Statistical Techniques Jobs

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. I nviting applications for the role of AM, Data Scientist Today, the world is operating in a more dynamic market, with more capable competitors than ever before. To meet our ambitions for democratizing access to the digital economy and financial services, we need to play our very best game. That&rsquos why transforming the business to be more customer-centric and global in mindset to solve customer problems. Alongside Sales and Product functions, the Marketing function will be central to this transformation. With an ambition to create and embed a bold new operating model that will position us to compete and win in the market. It will empower marketers on the frontline and our Marketing function more broadly with the knowledge, skills, platforms, and capabilities to do exceptional work. Responsibilities Participate and collaborate with Sales and Marketing teams in the organization to understand the business requirements and to deliver scalable solutions Analyze user behavior, conversion data, customer journeys to generate hypotheses and build optimization plans and provide insights for feature improvements Mine and analyze data from company databases to drive optimization and improvement of product development and business strategies Continuously think about how to improve the analytics infrastructure for the team and automate processes Perform deep-dive analyses on key business trends from different perspectives and package the insights into easily consumable presentations and documents Provide thought leadership within the marketing analytics community Qualification we seek in you! Minimum Qualifications /skills Education in Statistics, Mathematics, Computer Science, or another quantitative field . Relevant working experience Knowledge of a variety of machine learning and Statistical techniques (Regression, Statistical Tests, Properties of distributions, Clustering, CART, SVM, etc.) and their real-world advantages/drawbacks. Experience using computer languages (Python, SQL, etc.) to manipulate data and draw insights from large data sets. Experience in creating AI/ML models for Marketing use cases Experience in using industry-standard AI/ML libraries i.e. Sklearn , Keras , Tensorflow , AutoML , etc. Experience in working on Marketing Analytics Excellent communication & presentation skills Good exposure in the Marketing analytics domain for a Fintech-based client and should be able to break the problem into small chunks Ability to create models using Classification and Regression techniques and perform Hypothesis Testing and Feature selection Ability to use creativity to spot trends and tease out patterns in large datasets Good analytical and problem-solving skills, and ability to set goals and meet deadlines in a fast-paced working environment Preferred Qualification s/skills Knowledge of Hadoop/Hive is good to have Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Get to know us at www.genpact.com and on , Facebook, LinkedIn, and YouTube. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

Armanino is proud to be among the top 20 Largest Firms in the United States of America and one of the Best Places to Work. Armanino (USA) has more than 2500 employees across the USA and more than 20 offices in difference states of the USA. We have a community of resources that are ready and willing to support your ideas, build your skills and expand your professional network. We want you to integrate all aspects of your life with your career. At Armanino, we know you don't check-out of life when you check-in at work. That's why we've created a unique work environment where your passions, work, and family & friends can overlap. We want to help you achieve growth by giving you access to a network of smart and supportive people, willing to listen to your ideas. This open position is for Armanino India LLP, which is located in India. Responsibilities Analyze financial and operational data to identify trends, patterns, and anomalies that impact business decisions and strategies Develop machine learning algorithms and statistical models to forecast revenue, expenses, and other key metrics Collaborate with finance leadership to identify reporting needs and create dashboardsthat visualize trends, KPIs, and business drivers Work closely with IT and Finance teams to ensure seamless data integration and compliance with security protocols Gather, extract, clean and manipulate raw data from various sources to support analysis and reporting Ensure the accuracy, quality, and security of financial data, maintaining compliance with industry regulations Create scalable and automated solutions to improve financial planning, forecasting, and reporting processes Stay informed of the latest advancements in data science, machine learning, and financial technologies Provide expert guidance and support to colleagues in the finance and IT departments, fostering a data-driven culture within the organization Contribute to the evaluation and selection of financial data tools, platforms, and technologies Participate in the planning and budgeting process, providing data-driven insights and recommendations Bachelor's degree in data science, computer science, statistics, finance, or a related field 4+ years of relevant work experience, including supporting United States based organization Proven experience in data science, with a focus on financial analysis and FP&A Proficiency in statistical techniques, machine learning models, and data visualization tools Demonstrated ability to manage multiple projects and collaborate across departments Strong problem-solving abilities and attention to detail Excellent communication skills with the ability to explain complex concepts to non-technical team members Self-starter, able to formulate and conduct analysis with minimal supervision and complete projects Hybrid work environment Work hours are from approximately 3 to 11 pm local time to enable strong relationships with the US based team Knowledge of ERP and financial systems such as Workday, SAP, or Oracle is a plus Compensation and Benefits CompensationCommensurate with Industry standards Other BenefitsProvident Fund, Gratuity, Medical Insurance, Group Personal Accident Insurance etc. employment benefits depending on the position. "Armanino is the brand name under which Armanino LLP, Armanino CPA Armanino provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Armanino complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall,transfer, leaves of absence, compensation and training. Armanino expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of Armanino employees to perform their job duties may result in discipline up to and including discharge. We have a community of resources that are ready and willing to support your ideas, build your skills and expand your professional network.

Job description Job Title: AI Decision Science Manager Strategy & Consulting Global Network Management Level: 07 - Manager Location: Primary - Bengaluru, Secondary - Gurugram Must-Have Skills: Python, R, SQL, Machine Learning, Deep Learning, Cloud Platforms (AWS, Azure, GCP), Big Data Tools (Hadoop, Spark), Data Visualization (Power BI, Tableau), Team Management, Stakeholder Engagement, Mentoring, Project Management. Good-to-Have Skills: Azure, AWS, GCP, Familiarity with advanced analytical techniques, including machine learning (e.g., Random Forest, Gradient Boosting) and deep learning (e.g., RNN, CNN), Experience with Large Language Models (LLMs) and tools like ChatGPT, Hugging Face. Job Summary :As an AI Decision Science Manager, you will leverage your expertise in AI, data science, and the Consumer Goods & Services domain to deliver innovative, data-driven solutions for Accenture's global clients. You will lead multi-disciplinary teams to design, develop, and implement AI strategies that drive measurable business outcomes, enhancing customer experience, revenue growth, and operational efficiency. Roles & Responsibilities: Analyze extensive datasets from CG&S sources like Nielsen and IRI to synthesize actionable insights. Evaluate clients' AI and analytics maturity and develop data-driven solutions across various business domains. Lead the design and deployment of advanced analytics solutions using cutting-edge platforms and tools. Provide technical guidance on statistical and machine learning techniques. Collaborate with cross-functional teams to address CG&S pain points, including revenue growth management, route-to-market strategies, and demand forecasting. Stay updated on the latest advancements in AI and integrate innovative approaches into solutions. Professional & Technical Skills: Expertise in traditional statistical techniques (e.g., regression, time series) and machine learning methods (e.g., clustering, decision trees). Familiarity with optimization methods, including linear and evolutionary techniques. Strong communication skills for engaging both technical and non-technical stakeholders. Proven ability to lead client-facing roles and large project teams. Exceptional attention to detail and a proactive, problem-solving mindset. Additional Information: This role offers an opportunity to work in a dynamic and collaborative environment, driving innovation and delivering impactful results for global clients in the Consumer Goods & Services sector. About Our Company Qualification Experience: 7-9 years of direct experience in Data Science and AI within the Consumer Goods & Services industry. Educational Qualification: Bachelors or Masters degree in Statistics, Economics, Mathematics, Computer Science, or an MBA specializing in Data Science.

Work Timings : 12:30 PM to 9:30 PM Hybrid Work: 3 days' Work from office as of now and may subject to change in future Role Purpose : Manage all the analysts in the Bangalore based team and develop their skills in using various risk management tools and techniques. Assist the department head in maintaining and enhancing productivity of the department. Key Responsibilities : As the second senior-most member of the team, assist the department head in all matters and depute for the department head when required. Develop competencies to assume the department head role at short notice. Design and implement risk management models for consumer lending products. Manage Projects, train and supervise team members in various risk management tools and techniques. Acquire and update knowledge of 1FBSSPLs customer information database and overall business economics. Work on development and deployment of risk management systems and processes. Undertake preparation and upgradation of risk related systems and policies. Preferred candidate profile Key Requirements : Professional with analytics experience preferably in Credit Card Domain . Must have experience in analytical tools like SAS or SQL , and experience in R, Python, and Machine Learning would be an advantage. Hands on experience in statistical techniques like logistic regression, clustering, segmentation etc. Experience in Web Analytics is a plus. Experience in MIS reports and ad-hoc analysis. Self-driven, ability to work independently, as well as handle a small size team. Minimum 7 years of relevant experience. Should have excellent communication skills to interact with senior Bank personnel.

Job Description. We are seeking exceptional experienced Quantitative Traders to build / lead our Quant Team and start trading.. Requirements. If you are building and executing consistent profitable trading strategies and meet the following criteria, then we would like to you to become part of our team:. B Tech, MSc or PhD from a top school in Maths, Physics, Computer Science etc.. Expertise in statistical techniques, experience conducting on large datasets. Programming proficiency in either C/C++, Java, Python, R, Matlab etc.. Ability to work independently or as a part of a team, and to lead a project from whiteboard to code implementation. Prior experience with algorithmic trading or familiarity with high-frequency financial data is a MUST.. Minimum 2+ years of experience in the financial markets. Very strong communication skillsability to present ideas and strategies clearly and interact well with both peers as well as senior management.. Responsibilities. Drive and passion to lead a team and to work in an open, creative and collaborative start-up environment.. The profile of the person is one who would be on the trading desk with experience trading in any markets across the world.. Building strategies that are consistently profitable and have a proven track record (not just back tested results); we are open to all market and all asset classes. Risk Management and Hedging. Analysis of market volatility. Excellent Return on Capital. Experience at a top Trading firm or HFT based firm. Excellent leadership qualities. Analysis of trading performance and development of new logic to improve trading performance. Evaluation of performance of existing and new trading strategies. Optimisation of the performance of strategies. Work closely with developers to manage the development of sophisticated trading/risk system which includes understanding requirements, developing new functionality etc. Experience of working on quantitative or statistical arbitrage or machine learning based strategies will be preferred.. Show more Show less

Job Description. We are seeking exceptional experienced Quantitative Traders to build / lead our Quant Team and start trading. If you are building and executing consistent profitable trading strategies and meet the following criteria, then we would like to you to become part of our team:. Requirements. B Tech, MSc. or PhD from a top school in Maths, Physics, Computer Science etc.. Expertise in statistical techniques, experience conducting on large datasets. Programming proficiency in either C/C++, Java, Python, R, Matlab etc.. Ability to work independently or as a part of a team, and to lead a project from whiteboard to code implementation. Prior experience with algorithmic trading or familiarity with high-frequency financial data is a MUST.. Minimum 5+ years of experience in the financial markets. Very strong communication skillsability to present ideas and strategies clearly and interact well with both peers as well as senior management.. Responsibilities. Drive and passion to lead a team and to work in an open, creative and collaborative start-up environment.. The profile of the person is one who would be on the trading desk with experience trading in any markets across the world.. Building strategies that are consistently profitable and have a proven track record (not just back tested results); we are open to all market and all asset classes. Risk Management and Hedging. Analysis of market volatility. Excellent Return on Capital. Experience at a top Trading firm or HFT based firm. Excellent leadership qualities. Analysis of trading performance and development of new logic to improve trading performance. Evaluation of performance of existing and new trading strategies. Optimisation of the performance of strategies. Work closely with developers to manage the development of sophisticated trading/risk system which includes understanding requirements, developing new functionality etc. Experience of working on quantitative or statistical arbitrage or machine learning based strategies will be preferred.. Show more Show less

Job Description We are seeking exceptional experienced Quantitative Traders to build / lead our Quant Team and start trading If you are building and executing consistent profitable trading strategies and meet the following criteria, then we would like to you to become part of our team: Requirements B Tech, MSc or PhD from a top school in Maths, Physics, Computer Science etc Expertise in statistical techniques, experience conducting on large datasets Programming proficiency in either C/C++, Java, Python, R, Matlab etc Ability to work independently or as a part of a team, and to lead a project from whiteboard to code implementation Prior experience with algorithmic trading or familiarity with high-frequency financial data is a MUST, Minimum 5+ years of experience in the financial markets Very strong communication skillsability to present ideas and strategies clearly and interact well with both peers as well as senior management, Responsibilities Drive and passion to lead a team and to work in an open, creative and collaborative start-up environment, The profile of the person is one who would be on the trading desk with experience trading in any markets across the world, Building strategies that are consistently profitable and have a proven track record (not just back tested results); we are open to all market and all asset classes Risk Management and Hedging Analysis of market volatility Excellent Return on Capital Experience at a top Trading firm or HFT based firm Excellent leadership qualities Analysis of trading performance and development of new logic to improve trading performance Evaluation of performance of existing and new trading strategies Optimisation of the performance of strategies Work closely with developers to manage the development of sophisticated trading/risk system which includes understanding requirements, developing new functionality etc Experience of working on quantitative or statistical arbitrage or machine learning based strategies will be preferred,

Job Summary We are seeking a highly skilled and motivated individual to join our team as a Senior Financial Analyst in the Financial Planning & Analysis (FP&A) department As a Senior Financial Analyst, you will play a key role in driving the financial performance and strategic decision-making of our organization Your primary responsibility will be to analyze financial data, provide valuable insights, and collaborate with cross-functional teams to support business objectives This position requires a strong foundation in financial analysis, excellent communication skills, and a deep understanding of business acumen and analytics, Job Requirements Essential Functions Financial Analysis: Conduct thorough financial analysis, including but not limited to budgeting, forecasting, variance analysis, and financial modeling Identify trends, risks, and opportunities to support strategic decision-making, Business Partnering: Collaborate with various departments and business units to understand their financial needs and provide actionable recommendations Build strong relationships to serve as a trusted financial advisor and effectively communicate financial information to non-financial stakeholders, Story Behind the Numbers: Dive beyond the surface-level financial data and uncover the underlying story behind the numbers Develop insightful narratives that explain the financial performance, key drivers, and potential impacts on the business, Budgeting and Forecasting: Assist in the preparation of annual budgets and periodic forecasts Work closely with department heads to ensure alignment with business objectives and provide accurate and timely financial projections, Analytics and Reporting: Develop and maintain financial reports, dashboards, and key performance indicators (KPIs) to monitor business performance Provide meaningful insights through data analysis and visualization tools to facilitate data-driven decision-making, Financial Planning: Support the development and execution of long-term financial plans, including strategic initiatives, capital expenditure analysis, and ROI evaluations Assess the financial feasibility of new projects and investments, Process Improvement: Identify opportunities to streamline financial processes, enhance efficiency, and optimize reporting capabilities Implement best practices and tools to enhance the overall effectiveness of the FP&A function, Preferred Skillsets Business Acumen: Strong understanding of business operations, industry dynamics, and financial implications Ability to translate financial analysis into actionable insights and recommendations, Business Partnering: Proven ability to build relationships and collaborate with cross-functional teams Excellent interpersonal and communication skills to effectively engage and influence stakeholders at all levels, The Story Behind the Numbers: Ability to analyze financial data in-depth and present findings in a clear and concise manner Strong storytelling skills to communicate complex financial information to a non-financial audience, Analytics: Proficient in financial modeling, data analysis, and statistical techniques Experience working with advanced Excel functions, financial planning software, and data visualization tools (e-g , Tableau, Power BI), Education Education and Experience The types of tasks this individual is responsible for are well defined and utilized and build an understanding of standard principles and practices within a team environment, This individual interacts primarily with their Hiring manager, Finance Partners, and the direct Finance team members on assigned projects and may communicate with employees in other functions as required, The regular and detailed direction is provided, as well as an ongoing review of activities and priorities, The ideal candidate will be an important contributor to team projects, Ideally, 5-8 years of working experience, CA, CMA, CPA, CFA, MBA Finance (Reputed University), Finance Analytics from reputed institution, At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process, Equal Opportunity Employer NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, and any protected classification, Why NetApp We are all about helping customers turn challenges into business opportunity It starts with bringing new thinking to age-old problems, like how to use data most effectively to run better but also to innovate We tailor our approach to the customer's unique needs with a combination of fresh thinking and proven approaches, We enable a healthy work-life balance Our volunteer time off program is best in class, offering employees 40 hours of paid time off each year to volunteer with their favourite organizations We provide comprehensive benefits, including health care, life and accident plans, emotional support resources for you and your family, legal services, and financial savings programs to help you plan for your future We support professional and personal growth through educational assistance and provide access to various discounts and perks to enhance your overall quality of life, If you want to help us build knowledge and solve big problems, let's talk,

Roles and Responsibility Analyze complex data sets to identify trends and patterns in health-related claims. Develop and implement effective analytical models to predict future claim outcomes. Collaborate with cross-functional teams to design and implement process improvements. Provide expert guidance on health-related risk assessment and mitigation strategies. Conduct thorough analysis of medical records to determine claim validity. Develop and maintain comprehensive reports on claim performance metrics. Job Requirements Strong knowledge of insurance industry regulations and standards. Proficient in analyzing large datasets using advanced statistical techniques. Excellent communication and interpersonal skills. Ability to work effectively in a fast-paced environment with multiple priorities. Strong problem-solving skills with attention to detail. Experience working with healthcare professionals to understand claim requirements. A graduate or postgraduate degree is required.

We are seeking a skilled Data Analytics professional who has a strong foundation in data analytics, experience working with large datasets, and expertise in analyzing operational performance and business metrics. Desire Skills & Experience Any Graduate/ Post-Graduate who holds experience into data analytics domain. 6+ years of experience in data analysis, preferably within a BPM, or voice process environment. Proven experience in analyzing operational metrics. Proficiency in data analytics tools and platforms such as SQL , Excel . Experience with scientific analytics tools like Python , R , or SAS for statistical analysis and model development. Competent with data visualization tools such as Tableau or Power BI . Knowledge of statistical techniques, including regression analysis, hypothesis testing, clustering, and machine learning. Strong analytical thinking and problem-solving skills. Excellent organizational skills, attention to detail, and ability to manage multiple tasks simultaneously.

Management Level: Ind & Func AI Decision Science Consultant Location: Gurgaon, Mumbai, Bangalore Must-have skills: Risk Analytics, Model Development, Validation, and Auditing, Performance Evaluation, Monitoring, Governance, Statistical Techniques:Linear Regression, Logistic Regression, GLM, GBM, XGBoost, Time Series (ARMA/ARIMA), Programming Languages:SAS, R, Python, Spark, Scala, Tools:Tableau, PowerBI, Regulatory Knowledge:Basel/CCAR/DFAST/CECL/IFRS9, Risk Reporting and Dashboard Solutions Good to have skills: Advanced Data Science Techniques, AML, Operational Risk Modelling, Cloud Platform Experience (AWS/Azure/GCP), Machine Learning Interpretability and Bias Algorithms Job Summary We are seeking a highly skilled Ind & Func AI Decision Science Consultant to join the Accenture Strategy & Consulting team in the Global Network Data & AI practice. You will be responsible for risk model development, validation, and auditing activities, ensuring performance evaluation, monitoring, governance, and documentation. This role offers opportunities to work with top financial clients globally, utilizing cutting-edge technologies to drive business capabilities and foster innovation. Roles & Responsibilities: 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 workstreams of small projects, overseeing the quality of deliverables for junior team members. Demonstrated ability to manage day-to-day interactions with client stakeholders. Practice Enablement Guide junior team members. Support development of the practice by driving innovations and initiatives. Develop thought leadership and disseminate information around current and emerging trends in Risk. Professional & Technical Skills: 2-6 years of relevant Risk Analytics experience at one or more Financial Services firms or Professional Services/Risk Advisory with significant exposure to Credit Risk: PD/LGD/EAD Models, CCAR/DFAST Loss Forecasting, Revenue Forecasting Models, IFRS9/CECL Loss Forecasting across Retail and Commercial portfolios. Credit Acquisition/Behavior: Modeling, 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): AML Scenarios/Alerts, Network Analysis Operational Risk: AMA Modeling, Operational Risk Reporting Modeling Techniques: Linear Regression, Logistic Regression, GLM, GBM, XGBoost, CatBoost, Neural Networks, Time Series (ARMA/ARIMA), ML Interpretability and Bias Algorithms Programming Languages & Tools: SAS, R, Python, Spark, Scala, Tableau, QlikView, PowerBI, SAS VA Strong understanding of Risk functions and their application in client discussions and project implementation. Additional Information: Masters degree in a quantitative discipline (mathematics, statistics, economics, financial engineering, operations research) or MBA from top-tier universities. Industry Certifications:FRM, PRM, CFA preferred. Excellent Communication and Interpersonal Skills. About Our Company | Accenture Qualification Experience: Minimum 2-6 years of relevant Risk Analytics experience, Exposure to Financial Services firms or Professional Services/Risk Advisory Educational Qualification: Masters degree in a quantitative discipline (mathematics, statistics, economics, financial engineering, operations research) or MBA from top-tier universities, Industry certifications such as FRM, PRM, CFA preferred

Management Level :07- I&F Decision Sci Practitioner Manager Location :Mumbai Must-have skills :Risk Analytics, Model Development, Validation, and Auditing, Performance Evaluation, Monitoring, Governance, Statistical Techniques:Linear Regression, Logistic Regression, GLM, GBM, XGBoost, CatBoost, Neural Networks, Programming Languages:SAS, R, Python, Spark, Scala, Tools:Tableau, QlikView, PowerBI, SAS VA, Regulatory Knowledge:Basel/CCAR/DFAST/CECL/IFRS9, Risk Reporting and Dashboard Solutions Good to have skills :Advanced Data Science Techniques, AML, Operational Risk Modelling, Cloud Platform Experience (AWS/Azure/GCP), Machine Learning Interpretability and Bias Algorithms Job Summary We are seeking a highly skilled I&F Decision Sci Practitioner Manager to join the Accenture Strategy & Consulting team in the Global Network Data & AI practice. You will be responsible for leading risk model development, validation, and auditing activities, ensuring performance evaluation, monitoring, governance, and documentation. This role also provides opportunities to work with top financial clients globally, utilizing cutting-edge technologies to drive business capabilities and foster innovation. Roles & Responsibilities: Engagement Execution Lead the team in the development, validation, governance, strategy, transformation, implementation, and end-to-end delivery of risk solutions for clients. Manage workstreams for large and small projects, overseeing the quality of deliverables for junior team members. Develop and frame Proof of Concept for key clients where applicable. Practice Enablement Mentor, guide, and counsel analysts and consultants. Support the development of the practice by driving innovations and initiatives. Support efforts of sales team to identify and win potential opportunities by assisting with RFPs, RFI. Assist in designing POVs, GTM collateral. Professional & Technical Skills: 7-12 years of relevant Risk Analytics experience at one or more Financial Services firms or Professional Services / Risk Advisory with significant exposure to Credit Risk :PD/LGD/EAD Models, CCAR/DFAST Loss Forecasting, Revenue Forecasting Models, IFRS9/CECL Loss Forecasting across Retail and Commercial portfolios. Credit Acquisition/Behavior :Modeling, 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) :AML Scenarios/Alerts, Network Analysis Operational Risk :AMA Modeling, Operational Risk Reporting Modeling Techniques :Linear Regression, Logistic Regression, GLM, GBM, XGBoost, CatBoost, Neural Networks, Time Series (ARMA/ARIMA), ML Interpretability and Bias Algorithms Programming Languages & Tools :SAS, R, Python, Spark, Scala, Tableau, QlikView, PowerBI, SAS VA Strong understanding of Risk functions and their application in client discussions and project implementation. Additional Information: Masters Degree in a quantitative discipline (mathematics, statistics, economics, financial engineering, operations research) or MBA from top-tier universities Industry Certifications :FRM, PRM, CFA preferred Excellent Communication and Interpersonal Skills About Our Company | Accenture Qualification Experience :Minimum 7-12 years of relevant Risk Analytics experience, Exposure to Financial Services firms or Professional Services/Risk Advisory Educational Qualification :Masters degree in a quantitative discipline (mathematics, statistics, economics, financial engineering, operations research) or MBA from top-tier universities, Industry certifications such as FRM, PRM, CFA preferred

As a PPC Senior Analyst, you will build, manage and optimize paid marketing campaigns using Google Facebook, and will work towards meeting client goals and objectives. RESPONSIBILITIES 1. Define and execute online marketing campaigns across multiple channels such as Search, Display, Remarketing Social 2. Build out, analyze and constantly improve performance on campaigns through optimizing account/campaign structure, bid budget optimization and constant ad landing page testing. 3. Understand master tools such as Google AdWords Bing interface, Adwords Editor, Bing Editor, Facebook Ads, Google Analytics, Omniture, Semrush etc. 4. Build expertize in organizing data for analysis using Excel PowerPoint (Performance Analysis, Client Dashboards, Monthly Plans etc.) 5. Draw inferences from data and test hypothesis using statistical techniques 6. Define and implement routine reports (weekly / monthly) 7. Provide detailed monthly and quarterly results overviews to clients 8. Participate and support in delivering results and presentations to clients 9. Learn and adopt PPC frameworks for performance optimization. 10. Stay abreast of current trends and best practices in PPC marketing new channels, features, methods of analysis DESIRED SKILLS 1. Strong proficiency in Excel 2. Knowledge in Statistical techniques will be an added advantage 3. Strong written verbal communication skills 4. Ability to work in a fast paced environment should excel with minimal supervision 5. Excellent attention to detail

Design and conduct statistical analysis of large and complex educational datasets to generate actionable insights Build analytical models to uncover trends, test hypotheses, and support data-driven policy decisions Develop and maintain interactive dashboards and visualizations that communicate insights clearly to nontechnical stakeholders Conduct diagnostic and predictive analysis using sound statistical methodologies Collaborate with internal teams and government stakeholders to translate insights into strategic program or policy recommendations Support data cleaning, preparation, and management processes to ensure high data integrity across sources Contribute to the design of data collection frameworks for new education initiatives Prepare high-quality analytical reports and documents that summarize findings Document methodologies, analysis processes, and assumptions used during data analysis to ensure reproducibility and transparency Who we are looking for: We are seeking a recent graduate or early-career professional with strong technical and analytical skills. The ideal candidate will have: Freshers or candidates with upto 2 years of experience. A strong academic background in Statistics, Econometrics, or a related quantitative field (e.g., M.Sc. in Statistics) Deep understanding of statistical techniques, including regression, clustering, hypothesis testing, timeseries analysis, and multi-variate analysis Proficiency in at least one programming language for statistical analysis: R or Python Strong data visualization skills using tools such as Tableau, Looker Studio, Power BI, or libraries like ggplot, matplotlib, seaborn Hands-on experience with SQL-based databases (e.g., MySQL, PostgreSQL) and familiarity with NoSQL databases (e.g., MongoDB, Firebase) Ability to clearly present complex data in compelling and accessible formats to diverse stakeholders Excellent problem-solving, analytical thinking, and communication skills High level of self-motivation, attention to detail, and alignment with EdIndias mission of transforming public education through data Preferred Skills: Experience with cloud platforms such as AWS or Google BigQuery Exposure to software development tools like Python (for scripting or automation) or Flutter (for app or dashboard development) Understanding of education data systems or prior experience working with government/public sector datasets Why Join Us: Opportunity to work on impactful, data driven education projects. Collaborative and growth-oriented work environment. Hands-on experience with real-world datasets and decision-making processes A chance to contribute to the transformation of education in India.

Role & responsibilities Collect, clean, and validate data from multiple sources to ensure quality and accuracy. Design and implement statistical models and methodologies to solve real-world problems. Analyze trends, patterns, and relationships in complex data sets. Develop and apply predictive and inferential models. Communicate findings through reports, visualizations, and presentations. Collaborate with cross-functional teams, including data scientists, researchers, business analysts, and management. Stay current with developments in statistical methodologies, software tools, and best practices. Provide guidance on experimental design and data collection strategies. Ensure compliance with data governance, privacy laws, and industry regulations. Preferred candidate profile Masters degree in Statistics, Mathematics, Data Science, or a related field (PhD preferred for advanced research roles). Proven experience in statistical analysis, modeling, and experimental design. Proficiency in statistical software such as R, SAS, Python, or SPSS. Strong knowledge of probability theory, hypothesis testing, regression, and multivariate analysis. Experience with data visualization tools (e.g., Tableau, Power BI, ggplot2, matplotlib). Excellent problem-solving, communication, and organizational skills. Ability to translate complex statistical concepts into actionable business insights.

Role & responsibilities Collect, clean, and validate data from multiple sources to ensure quality and accuracy. Design and implement statistical models and methodologies to solve real-world problems. Analyze trends, patterns, and relationships in complex data sets. Develop and apply predictive and inferential models. Communicate findings through reports, visualizations, and presentations. Collaborate with cross-functional teams, including data scientists, researchers, business analysts, and management. Stay current with developments in statistical methodologies, software tools, and best practices. Provide guidance on experimental design and data collection strategies. Ensure compliance with data governance, privacy laws, and industry regulations. Preferred candidate profile Masters degree in Statistics, Mathematics, Data Science, or a related field (PhD preferred for advanced research roles). Proven experience in statistical analysis, modeling, and experimental design. Proficiency in statistical software such as R, SAS, Python, or SPSS. Strong knowledge of probability theory, hypothesis testing, regression, and multivariate analysis. Experience with data visualization tools (e.g., Tableau, Power BI, ggplot2, matplotlib). Excellent problem-solving, communication, and organizational skills. Ability to translate complex statistical concepts into actionable business insights.

About us: As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up . Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasn t happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target s global team and has more than 4,000 team members supporting the company s global strategy and operations. PRIMARY FUNCTION Clearance Pricing Analysts core responsibilities are clearance price management including clearance program execution, optimization and forecasting. The Analysts own end-to-end clearance price execution to ensure Target maximizes clearance profitability. PRINCIPLE DUTIES AND RESPONSIBILITIES Pricing Analysts are responsible for clearance price operations in order to deliver financial results. Also, partnering with Minneapolis Analysts to understand EOS strategies and opportunities to develop best results. Be the single point of contact for the assigned business (online & stores) and gain expertise on end to end pyramid and strategy context Provide context and analysis on the drivers of clearance pricing metrics and performance versus enterprise objectives Leverage defined clearance pricing processes to execute, optimize, and forecast clearance programs. Independently make sound pricing decisions to ensure clearance programs are correct, maximize financials, and forecasted accurately Develop an accurate A MD forecast and forecast variance recap monthly in step with Merchandising and Planning needs. Partner with Merchandising and Finance partners Create and publish operational dashboards to inform internal partners of clearance pricing actions Utilize exception reporting to troubleshoot issues with clearance programs Effectively manage best practice and team governance for your business/process and provide strategic solutions to key areas across pricing Create and maintain knowledge documentations, follow operational hygiene (Project management practices, quality assurance & time tracker) Develop and maintains working relationships with price engineering teams, product owners, support teams, and all other teams related to pricing operations, to cohesively work towards achieving the business mission and goals Effectively onboard, train and mentor new hires Key business consultants to enterprise Price & Promotion COE, Merchants, Stores, Site Marketing, Marketing, Technology and other support areas. JOB REQUIREMENTS MINIMUM REQUIREMENTS: 2 to 4 years of experience ( MBA-Retail/Operations management)OR 4 to 5 yrs. experience (Graduate - Business/Commerce/Economics/Science/BE/B Tech) Advanced knowledge in Microsoft Excel and basic SQL Excellent analytical and problem solving skills Demonstrate leadership and decision-making skills Self-starter, curious and thrives on learning new capabilities Excellent communicator - ability to present to large groups of people, manage cross functional projects and strong organization skills Project management expertise DESIRED REQUIREMENTS: Prior retail/e-commerce experience Basic knowledge in statistical methodologies and concepts Six sigma expertise (knowledge of tool and lean principles application)

We are seeking a highly motivated and skilled Machine Learning Engineer / Data Scientist to analyze large, complex data sets and develop scalable solutions to business problems. This role involves applying statistical techniques and machine learning to drive insights and build automated, efficient processes for data analysis, model development, and deployment. What You Will Do Analyze large, complex data sets and create scalable solutions to business problems using statistical techniques and Machine Learning. Establish scalable, efficient, and automated processes for large-scale data analysis, model development, deployment, experimentation, and evaluation. Research and implement novel machine learning and statistical approaches. Skills and Qualifications Strong analytic skills with the ability to see the big picture and demonstrate strong business intuition. Strong problem-solving skills with a drive to learn and master new technologies and techniques. Familiar with the theory and practice of relevance and Machine Learning. Excellent verbal and written communication skills. Additional Preferred Qualification Familiarity with the Finance domain (Financial Transformation and Financial Data Analysis experience is a plus)

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it , our most valuable asset is our people. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage an d passion to drive life-changing impact to ZS. Our most valuable asset is our people . At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems—the ones that comprise us as individuals, shape who we are and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. Data Science Associate Consultant Data Science Associate Consultant (DSA) design, develop and execute high-impact analytics solutions for large, complex, structured and unstructured data sets (including big data) to help clients make better fact-based decisions. What You’ll D o Stay updated with the latest developments in Deep Learning and AI research. Implement and fine-tune advanced models in deep learning, with a focus on Transformers for sequential data (e.g., time series, text, and vision). Apply knowledge of large language model (LLM) fine-tuning and alignment approaches to improve model performance. Utilize active learning techniques to train models more efficiently and effectively. Collaborate with cross-functional teams to develop and deploy machine learning models in production. Contribute to research projects aimed at advancing the field of AI and machine learning. Develop advanced algorithms that solve problems of large dimensionality in a computationally efficient and statistically effective manner Collaborate with clients and other ZS stakeholders to effectively integrate and communicate analysis findings Contribute to the evaluation of emerging datasets and technologies that may contribute to our analytical platform Owning the development of select assets/accelerators for efficient scaling of capability, with a focus on leveraging generative AI and deep learning methodologies. Integrate engineering principles into data science workflows, optimizing algorithms for performance, scalability, and maintainability. Collaborate with the engineering team to implement and deploy data science solutions into production, ensuring seamless integration with existing systems. Utilize software engineering best practices for version control, code review, testing, and documentation to maintain high-quality, reliable, and reproducible data science workflows. What You’ll Bring Bachelor's or master's degree or PhD in Computer Science (or Statistics) from a premier institute, and strong academic performance with analytic and quantitative coursework is required 4-7 years of Data Science experience, including proficiency in generative AI, deep learning, statistical techniques, and engineering integration for scalable solutions Knowledge of programming (e.g. Java/Python/R); Knowledge of big data/advanced analytics concepts and algorithms (e.g. text mining, social listening, recommender systems, predictive modeling, etc.) Excellent oral and written communication skills. Strong attention to detail, with a research-focused mindset; Excellent critical thinking and problem-solving skills; High motivation, good work ethic and maturity. Exposure to Generative AI and its usage to solve problems is a plus. Perks & Benefits ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To Complete Your Application Candidates must possess or be able to obtain work authorization for their intended country of employment.An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At www.zs.com

Management Level: Ind&Func AI Decision Science Manager Location: Gurgaon, Bangalore Must-Have Skills: Market Mix Modeling (MMM) Techniques, Optimization Algorithms for budget allocation and promotional channel optimization, Statistical and Probabilistic Methods:SVM, Decision Trees, Programming Languages & Tools:Python, NumPy, Pandas, Sklearn, AI/ML Models Development and Data Pipeline Management, Data Management within Snowflake (data layers, migration), Cloud Platforms experience (Azure, AWS, GCP). Good-to-Have Skills: Experience with Nonlinear Optimization Techniques, Experience in Data Migration (cloud to Snowflake), Proficiency in SQL and cloud-based technologies, Understanding of Econometrics/Statistical Modeling (Regression, Time Series, Multivariate Analysis). Job Summary We are seeking a skilled Ind & Func AI Decision Science Manager to join the Accenture Strategy & Consulting team in the Global Network Data & AI practice. This role will focus on Market Mix Modeling (MMM), where you will be responsible for developing AI/ML models, optimizing promotional channels, managing data pipelines, and working on scaling marketing mix models across cloud platforms. This role offers an exciting opportunity to collaborate with leading financial clients and leverage cutting-edge technology to drive business impact and innovation. Roles & Responsibilities Engagement Execution Lead MMM engagements that involve optimizing promotional strategies, budget allocation, and marketing analytics solutions. Apply advanced statistical techniques and machine learning models to improve marketing effectiveness. Collaborate with clients to develop tailored market mix models, delivering data-driven insights to optimize their marketing budgets and strategies. Develop Proof of Concepts (PoC) for clients, including scoping, staffing, and execution phases. Practice Enablement Mentor and guide analysts, consultants, and managers to build their expertise in Market Mix Modeling and analytics. Contribute to the growth of the Analytics practice through knowledge sharing, staffing initiatives, and the development of new methodologies. Promote thought leadership in Marketing Analytics by publishing research and presenting at industry events. Opportunity Development Identify business development opportunities in marketing analytics and develop compelling business cases for potential clients. Work closely with deal teams to provide subject matter expertise in MMM, ensuring the development of high-quality client proposals and responses to RFPs. Client Relationship Development Build and maintain strong, trusted relationships with internal and external clients. Serve as a consultant to clients, offering strategic insights to optimize marketing spend and performance. Professional & Technical Skills 5+ years of experience in Market Mix Modeling (MMM) and associated optimization techniques. Strong knowledge of nonlinear optimization, AI/ML models, and advanced statistical techniques for marketing. Proficiency in programming languages such as Python, NumPy, Pandas, Sklearn, Seaborne, Pycaret, and Matplotlib. Experience with cloud platforms such as AWS, Azure, or GCP and data migration to Snowflake. Familiarity with econometrics/statistical modeling techniques (Regression, Hypothesis Testing, Time Series, Multivariate Analysis). Hands-on experience in managing data pipelines and deploying scalable machine learning architectures. Additional Information Masters degree in Statistics, Econometrics, Economics, or related fields from reputed universities. Ph.D. or M.Tech is a plus. Excellent communication and interpersonal skills to effectively collaborate with global teams and clients. Willingness to travel up to 40% of the time. Work on impactful projects to help clients optimize their marketing strategies through advanced data-driven insights. About Our Company | Accenture (do not remove the hyperlink) Qualification Experience: 5+ years of advanced experience in Market Mix Modeling (MMM) and related optimization techniques for promotional channels and budget allocation 2+ years for Analysts & 4+ years for Consultants of experience in consulting/analytics with reputed organizations Educational Qualification: Masters degree in Statistics, Econometrics, Economics, or related fields from reputed institutions Ph.D. or M.Tech in relevant fields is an advantage

Management Level: Ind&Func AI Decision Science Manager Location: Gurgaon, Bangalore Must-Have Skills: Market Mix Modeling (MMM) Techniques, Optimization Algorithms for budget allocation and promotional channel optimization, Statistical and Probabilistic Methods:SVM, Decision Trees, Programming Languages & Tools:Python, NumPy, Pandas, Sklearn, AI/ML Models Development and Data Pipeline Management, Data Management within Snowflake (data layers, migration), Cloud Platforms experience (Azure, AWS, GCP). Good-to-Have Skills: Experience with Nonlinear Optimization Techniques, Experience in Data Migration (cloud to Snowflake), Proficiency in SQL and cloud-based technologies, Understanding of Econometrics/Statistical Modeling (Regression, Time Series, Multivariate Analysis). Job Summary We are seeking a skilled Ind & Func AI Decision Science Manager to join the Accenture Strategy & Consulting team in the Global Network Data & AI practice. This role will focus on Market Mix Modeling (MMM), where you will be responsible for developing AI/ML models, optimizing promotional channels, managing data pipelines, and working on scaling marketing mix models across cloud platforms. This role offers an exciting opportunity to collaborate with leading financial clients and leverage cutting-edge technology to drive business impact and innovation. Roles & Responsibilities Engagement Execution Lead MMM engagements that involve optimizing promotional strategies, budget allocation, and marketing analytics solutions. Apply advanced statistical techniques and machine learning models to improve marketing effectiveness. Collaborate with clients to develop tailored market mix models, delivering data-driven insights to optimize their marketing budgets and strategies. Develop Proof of Concepts (PoC) for clients, including scoping, staffing, and execution phases. Practice Enablement Mentor and guide analysts, consultants, and managers to build their expertise in Market Mix Modeling and analytics. Contribute to the growth of the Analytics practice through knowledge sharing, staffing initiatives, and the development of new methodologies. Promote thought leadership in Marketing Analytics by publishing research and presenting at industry events. Opportunity Development Identify business development opportunities in marketing analytics and develop compelling business cases for potential clients. Work closely with deal teams to provide subject matter expertise in MMM, ensuring the development of high-quality client proposals and responses to RFPs. Client Relationship Development Build and maintain strong, trusted relationships with internal and external clients. Serve as a consultant to clients, offering strategic insights to optimize marketing spend and performance. Professional & Technical Skills 5+ years of experience in Market Mix Modeling (MMM) and associated optimization techniques. Strong knowledge of nonlinear optimization, AI/ML models, and advanced statistical techniques for marketing. Proficiency in programming languages such as Python, NumPy, Pandas, Sklearn, Seaborne, Pycaret, and Matplotlib. Experience with cloud platforms such as AWS, Azure, or GCP and data migration to Snowflake. Familiarity with econometrics/statistical modeling techniques (Regression, Hypothesis Testing, Time Series, Multivariate Analysis). Hands-on experience in managing data pipelines and deploying scalable machine learning architectures. Additional Information Masters degree in Statistics, Econometrics, Economics, or related fields from reputed universities. Ph.D. or M.Tech is a plus. Excellent communication and interpersonal skills to effectively collaborate with global teams and clients. Willingness to travel up to 40% of the time. Work on impactful projects to help clients optimize their marketing strategies through advanced data-driven insights. About Our Company | Accenture (do not remove the hyperlink) Qualification Experience: 5+ years of advanced experience in Market Mix Modeling (MMM) and related optimization techniques for promotional channels and budget allocation 2+ years for Analysts & 4+ years for Consultants of experience in consulting/analytics with reputed organizations Educational Qualification: Masters degree in Statistics, Econometrics, Economics, or related fields from reputed institutions Ph.D. or M.Tech in relevant fields is an advantage

for MMM Role: Management Level :Ind&Func AI Decision Science Consultant Location :Gurgaon, Bangalore Must-Have Skills: Market Mix Modeling (MMM) Techniques, Optimization Algorithms for budget allocation and promotional channel optimization, Statistical and Probabilistic Methods:SVM, Decision Trees, Programming Languages & Tools:Python, NumPy, Pandas, Sklearn, AI/ML Models Development and Data Pipeline Management, Data Management within Snowflake (data layers, migration), Cloud Platforms experience (Azure, AWS, GCP) Good-to-Have Skills: Experience with Nonlinear Optimization Techniques, Experience in Data Migration (cloud to Snowflake), Proficiency in SQL and cloud-based technologies, Understanding of Econometrics/Statistical Modeling (Regression, Time Series, Multivariate Analysis). Job Summary We are seeking a skilled Ind & Func AI Decision Science Consultant to join the Accenture Strategy & Consulting team in the Global Network Data & AI practice . This role is focused on Market Mix Modeling (MMM) , where you will be responsible for developing AI/ML models, optimizing promotional channels, managing data pipelines, and working on scaling marketing mix models across cloud platforms. You will work with leading financial clients, leveraging cutting-edge technology to drive business impact and innovation. Roles & Responsibilities Engagement Execution Lead MMM engagements that involve optimizing promotional strategies, budget allocation, and marketing analytics solutions. Apply advanced statistical techniques and machine learning models to improve marketing effectiveness. Collaborate with clients to develop tailored market mix models , delivering data-driven insights to optimize their marketing budgets and strategies. Develop Proof of Concepts (PoC) for clients, including scoping , staffing , and execution phases. Practice Enablement Mentor and guide analysts , consultants , and managers to build their expertise in Market Mix Modeling and analytics . Contribute to the growth of the Analytics practice through knowledge sharing, staffing initiatives, and development of new methodologies. Promote thought leadership in Marketing Analytics by publishing research and presenting at industry events. Opportunity Development Identify business development opportunities in marketing analytics and develop compelling business cases for potential clients. Work closely with deal teams to provide subject matter expertise in MMM , ensuring the development of high-quality client proposals and responses to RFPs . Client Relationship Development Build and maintain strong, trusted relationships with internal and external clients. Serve as a consultant to clients, offering strategic insights to optimize marketing spend and performance. Professional & Technical Skills 3+ years of experience in Market Mix Modeling (MMM) and associated optimization techniques. Strong knowledge of nonlinear optimization , AI/ML models , and advanced statistical techniques for marketing. Proficiency in programming languages such as Python , NumPy , Pandas , Sklearn , Seaborne , Pycaret , and Matplotlib . Experience with cloud platforms such as AWS , Azure , or GCP and data migration to Snowflake . Familiarity with econometrics/statistical modeling techniques (Regression, Hypothesis Testing, Time Series, Multivariate Analysis). Hands-on experience in managing data pipelines and deploying scalable machine learning architectures . Additional Information: Masters degree in Statistics , Econometrics , Economics , or related fields from reputed universities . Ph.D. or M.Tech is a plus. Excellent communication and interpersonal skills to effectively collaborate with global teams and clients. Willingness to travel up to 40% of the time. Work on impactful projects to help clients optimize their marketing strategies through advanced data-driven insights . About Our Company | AccentureQualification Experience: 3+ years of experience in Market Mix Modeling (MMM) and optimization techniques 2+ years for Analysts & 4+ years for Consultants of experience in consulting/analytics within reputed organizations Educational Qualification: Masters degree in Statistics , Econometrics , Economics , or related fields from reputed institutions Ph.D. or M.Tech in relevant fields is an advantage

for MMM Role: Management Level :Ind&Func AI Decision Science Consultant Location :Gurgaon, Bangalore Must-Have Skills: Market Mix Modeling (MMM) Techniques, Optimization Algorithms for budget allocation and promotional channel optimization, Statistical and Probabilistic Methods:SVM, Decision Trees, Programming Languages & Tools:Python, NumPy, Pandas, Sklearn, AI/ML Models Development and Data Pipeline Management, Data Management within Snowflake (data layers, migration), Cloud Platforms experience (Azure, AWS, GCP) Good-to-Have Skills: Experience with Nonlinear Optimization Techniques, Experience in Data Migration (cloud to Snowflake), Proficiency in SQL and cloud-based technologies, Understanding of Econometrics/Statistical Modeling (Regression, Time Series, Multivariate Analysis). Job Summary We are seeking a skilled Ind & Func AI Decision Science Consultant to join the Accenture Strategy & Consulting team in the Global Network Data & AI practice . This role is focused on Market Mix Modeling (MMM) , where you will be responsible for developing AI/ML models, optimizing promotional channels, managing data pipelines, and working on scaling marketing mix models across cloud platforms. You will work with leading financial clients, leveraging cutting-edge technology to drive business impact and innovation. Roles & Responsibilities Engagement Execution Lead MMM engagements that involve optimizing promotional strategies, budget allocation, and marketing analytics solutions. Apply advanced statistical techniques and machine learning models to improve marketing effectiveness. Collaborate with clients to develop tailored market mix models , delivering data-driven insights to optimize their marketing budgets and strategies. Develop Proof of Concepts (PoC) for clients, including scoping , staffing , and execution phases. Practice Enablement Mentor and guide analysts , consultants , and managers to build their expertise in Market Mix Modeling and analytics . Contribute to the growth of the Analytics practice through knowledge sharing, staffing initiatives, and development of new methodologies. Promote thought leadership in Marketing Analytics by publishing research and presenting at industry events. Opportunity Development Identify business development opportunities in marketing analytics and develop compelling business cases for potential clients. Work closely with deal teams to provide subject matter expertise in MMM , ensuring the development of high-quality client proposals and responses to RFPs . Client Relationship Development Build and maintain strong, trusted relationships with internal and external clients. Serve as a consultant to clients, offering strategic insights to optimize marketing spend and performance. Professional & Technical Skills 3+ years of experience in Market Mix Modeling (MMM) and associated optimization techniques. Strong knowledge of nonlinear optimization , AI/ML models , and advanced statistical techniques for marketing. Proficiency in programming languages such as Python , NumPy , Pandas , Sklearn , Seaborne , Pycaret , and Matplotlib . Experience with cloud platforms such as AWS , Azure , or GCP and data migration to Snowflake . Familiarity with econometrics/statistical modeling techniques (Regression, Hypothesis Testing, Time Series, Multivariate Analysis). Hands-on experience in managing data pipelines and deploying scalable machine learning architectures . Additional Information: Masters degree in Statistics , Econometrics , Economics , or related fields from reputed universities . Ph.D. or M.Tech is a plus. Excellent communication and interpersonal skills to effectively collaborate with global teams and clients. Willingness to travel up to 40% of the time. Work on impactful projects to help clients optimize their marketing strategies through advanced data-driven insights . About Our Company | AccentureQualification Experience: 3+ years of experience in Market Mix Modeling (MMM) and optimization techniques 2+ years for Analysts & 4+ years for Consultants of experience in consulting/analytics within reputed organizations Educational Qualification: Masters degree in Statistics , Econometrics , Economics , or related fields from reputed institutions Ph.D. or M.Tech in relevant fields is an advantage

for MMM Role: Management Level :Ind&Func AI Decision Science Consultant Location :Gurgaon, Bangalore Must-Have Skills: Market Mix Modeling (MMM) Techniques, Optimization Algorithms for budget allocation and promotional channel optimization, Statistical and Probabilistic Methods:SVM, Decision Trees, Programming Languages & Tools:Python, NumPy, Pandas, Sklearn, AI/ML Models Development and Data Pipeline Management, Data Management within Snowflake (data layers, migration), Cloud Platforms experience (Azure, AWS, GCP) Good-to-Have Skills: Experience with Nonlinear Optimization Techniques, Experience in Data Migration (cloud to Snowflake), Proficiency in SQL and cloud-based technologies, Understanding of Econometrics/Statistical Modeling (Regression, Time Series, Multivariate Analysis). Job Summary We are seeking a skilled Ind & Func AI Decision Science Consultant to join the Accenture Strategy & Consulting team in the Global Network Data & AI practice . This role is focused on Market Mix Modeling (MMM) , where you will be responsible for developing AI/ML models, optimizing promotional channels, managing data pipelines, and working on scaling marketing mix models across cloud platforms. You will work with leading financial clients, leveraging cutting-edge technology to drive business impact and innovation. Roles & Responsibilities Engagement Execution Lead MMM engagements that involve optimizing promotional strategies, budget allocation, and marketing analytics solutions. Apply advanced statistical techniques and machine learning models to improve marketing effectiveness. Collaborate with clients to develop tailored market mix models , delivering data-driven insights to optimize their marketing budgets and strategies. Develop Proof of Concepts (PoC) for clients, including scoping , staffing , and execution phases. Practice Enablement Mentor and guide analysts , consultants , and managers to build their expertise in Market Mix Modeling and analytics . Contribute to the growth of the Analytics practice through knowledge sharing, staffing initiatives, and development of new methodologies. Promote thought leadership in Marketing Analytics by publishing research and presenting at industry events. Opportunity Development Identify business development opportunities in marketing analytics and develop compelling business cases for potential clients. Work closely with deal teams to provide subject matter expertise in MMM , ensuring the development of high-quality client proposals and responses to RFPs . Client Relationship Development Build and maintain strong, trusted relationships with internal and external clients. Serve as a consultant to clients, offering strategic insights to optimize marketing spend and performance. Professional & Technical Skills 3+ years of experience in Market Mix Modeling (MMM) and associated optimization techniques. Strong knowledge of nonlinear optimization , AI/ML models , and advanced statistical techniques for marketing. Proficiency in programming languages such as Python , NumPy , Pandas , Sklearn , Seaborne , Pycaret , and Matplotlib . Experience with cloud platforms such as AWS , Azure , or GCP and data migration to Snowflake . Familiarity with econometrics/statistical modeling techniques (Regression, Hypothesis Testing, Time Series, Multivariate Analysis). Hands-on experience in managing data pipelines and deploying scalable machine learning architectures . Additional Information: Masters degree in Statistics , Econometrics , Economics , or related fields from reputed universities . Ph.D. or M.Tech is a plus. Excellent communication and interpersonal skills to effectively collaborate with global teams and clients. Willingness to travel up to 40% of the time. Work on impactful projects to help clients optimize their marketing strategies through advanced data-driven insights . About Our Company | AccentureQualification Experience: 3+ years of experience in Market Mix Modeling (MMM) and optimization techniques 2+ years for Analysts & 4+ years for Consultants of experience in consulting/analytics within reputed organizations Educational Qualification: Masters degree in Statistics , Econometrics , Economics , or related fields from reputed institutions Ph.D. or M.Tech in relevant fields is an advantage

Management Level: Ind&Func AI Decision Science Manager Location: Gurgaon, Bangalore Must-Have Skills: Market Mix Modeling (MMM) Techniques, Optimization Algorithms for budget allocation and promotional channel optimization, Statistical and Probabilistic Methods:SVM, Decision Trees, Programming Languages & Tools:Python, NumPy, Pandas, Sklearn, AI/ML Models Development and Data Pipeline Management, Data Management within Snowflake (data layers, migration), Cloud Platforms experience (Azure, AWS, GCP). Good-to-Have Skills: Experience with Nonlinear Optimization Techniques, Experience in Data Migration (cloud to Snowflake), Proficiency in SQL and cloud-based technologies, Understanding of Econometrics/Statistical Modeling (Regression, Time Series, Multivariate Analysis). Job Summary We are seeking a skilled Ind & Func AI Decision Science Manager to join the Accenture Strategy & Consulting team in the Global Network Data & AI practice. This role will focus on Market Mix Modeling (MMM), where you will be responsible for developing AI/ML models, optimizing promotional channels, managing data pipelines, and working on scaling marketing mix models across cloud platforms. This role offers an exciting opportunity to collaborate with leading financial clients and leverage cutting-edge technology to drive business impact and innovation. Roles & Responsibilities Engagement Execution Lead MMM engagements that involve optimizing promotional strategies, budget allocation, and marketing analytics solutions. Apply advanced statistical techniques and machine learning models to improve marketing effectiveness. Collaborate with clients to develop tailored market mix models, delivering data-driven insights to optimize their marketing budgets and strategies. Develop Proof of Concepts (PoC) for clients, including scoping, staffing, and execution phases. Practice Enablement Mentor and guide analysts, consultants, and managers to build their expertise in Market Mix Modeling and analytics. Contribute to the growth of the Analytics practice through knowledge sharing, staffing initiatives, and the development of new methodologies. Promote thought leadership in Marketing Analytics by publishing research and presenting at industry events. Opportunity Development Identify business development opportunities in marketing analytics and develop compelling business cases for potential clients. Work closely with deal teams to provide subject matter expertise in MMM, ensuring the development of high-quality client proposals and responses to RFPs. Client Relationship Development Build and maintain strong, trusted relationships with internal and external clients. Serve as a consultant to clients, offering strategic insights to optimize marketing spend and performance. Professional & Technical Skills 5+ years of experience in Market Mix Modeling (MMM) and associated optimization techniques. Strong knowledge of nonlinear optimization, AI/ML models, and advanced statistical techniques for marketing. Proficiency in programming languages such as Python, NumPy, Pandas, Sklearn, Seaborne, Pycaret, and Matplotlib. Experience with cloud platforms such as AWS, Azure, or GCP and data migration to Snowflake. Familiarity with econometrics/statistical modeling techniques (Regression, Hypothesis Testing, Time Series, Multivariate Analysis). Hands-on experience in managing data pipelines and deploying scalable machine learning architectures. Additional Information Masters degree in Statistics, Econometrics, Economics, or related fields from reputed universities. Ph.D. or M.Tech is a plus. Excellent communication and interpersonal skills to effectively collaborate with global teams and clients. Willingness to travel up to 40% of the time. Work on impactful projects to help clients optimize their marketing strategies through advanced data-driven insights. About Our Company | Accenture (do not remove the hyperlink) Qualification Experience: 5+ years of advanced experience in Market Mix Modeling (MMM) and related optimization techniques for promotional channels and budget allocation 2+ years for Analysts & 4+ years for Consultants of experience in consulting/analytics with reputed organizations Educational Qualification: Masters degree in Statistics, Econometrics, Economics, or related fields from reputed institutions Ph.D. or M.Tech in relevant fields is an advantage