10 Portfolio Optimization Jobs

About the Role: OSTTRA India The Role: Professional Services Analysis The Team The OSTTRA Technology teamis composed of Capital Markets Technology professionals, who build,supportand protect the applications that operate our network. The technology landscapeincludeshigh-performance, high-volume applications as well as compute intensive applications,leveragingcontemporary microservices, cloud-based architectures The Impact: Together, we build, support, protect and manage high-performance, resilient platforms that process more than 100 million messages a day. Our services are vital to automated trade processing around the globe, managing peak volumes and working with our customers and regulators to ensure the efficient settlement of trades and effective operation of global capital markets Whats in it for you The Business Analyst [BA] will work with other teams and clients to agree the scope of any new business requirements and translate these requirements to a format that will be understood by the technical team for implementation. Initial focus will be on the legacy MarkitSERV TradeSTP product , this will expand to other products. This is an excellent opportunity to be part of a team based out of Gurgaon and to work with colleagues across multiple regions globally. Responsibilities Solution Design Account-abilities Escalate to the business strategy team and/or product team if any product or service enhancements may be required. Create any required message transformation specifications (In or outbound messages) Participate in gathering product enhancements requests from both clients and professional Services. Partner with Customer Success/Relationship Management team to gather any new client requirements for additional services or enhancements to existing services. Work with teams from legacy MarkitSERV, DealHub and Traiana to agree most appropriate solution for new message flows What Were Looking For: Domain Knowledge High level understanding of Financial Markets workflows Experience working with external customers Come with a desire to collaborate Able to handle multiple workstreams simultaneously Be adaptable to different scenarios The desire to develop your knowledge, skills, and abilities Familiar with services provided by Osttra advantage Technical Skills Proficient in Microsoft Office / Google Docs / Excel & Visio + Google Docs Understanding of XSLT Understanding of XML Understanding of FIX protocol Experience with Jira Experience with a PSA system, such as Kimble or Monday.com The Location: Gurgaon, India About Company Statement: OSTTRA is a market leader inderivatives post-trade processing, bringing innovation, expertise, processes and networks together to solve the post-trade challenges of global financial markets. OSTTRA operates cross-asset post-trade processing networks,providinga proven suite of Credit Risk, Trade Workflow and Optimisation services.Together these solutions streamline post-trade workflows, enabling firms to connect to counterparties and utilities, manage credit risk, reduce operationalrisk andoptimiseprocessingtodrive post-trade efficiencies. OSTTRA was formed in 2021 through the combination of four businesses that have been at the heart of post trade evolution and innovation for the last 20+ yearsMarkitServ, Traiana, TriOptima and Reset. These businesses have an exemplary track record of developing and supporting critical market infrastructure and bring together an established community of market participants comprisingall trading relationships and paradigms, connectedusingpowerful integration and transformation capabilities. About OSTTRA Candidates should note that OSTTRAis an independentfirm, jointly owned by S&P Global and CME Group. As part of the joint venture, S&P Global providesrecruitmentservices to OSTTRA - however, successful candidates will be interviewed and directly employed by OSTTRA, joiningour global team of more than 1,200 posttrade experts. OSTTRA was formed in 2021 through the combination of four businesses that have been at the heart of post trade evolution and innovation for the last 20+ yearsMarkitServ, Traiana, TriOptima and Reset. OSTTRA is a joint venture, owned 50/50 by S&P Global and CME Group. With an outstanding track record of developing and supporting critical market infrastructure, our combined network connects thousands of market participants to streamline end to end workflows -from trade capture at the point of execution, through portfolio optimization, to clearing and settlement. Joining the OSTTRA team is a unique opportunity to help build a bold new business with an outstanding heritage in financial technology, playing a central role in supporting global financial markets.Learn more atwww.osttra.com. Whats In It For You Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- 20 - Professional (EEO-2 Job Categories-United States of America), BSMGMT203 - Entry Professional (EEO Job Group)

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

Job Title: Industry & Function AI Decision Science Manager + S&C GN Management Level:07 - Manager Location: Primary Bengaluru, Secondary Gurugram Must-Have Skills: Consumer Goods & Services domain expertise , AI & ML, Proficiency in Python, R, PySpark, SQL , Experience in cloud platforms (Azure, AWS, GCP) , Expertise in Revenue Growth Management, Pricing Analytics, Promotion Analytics, PPA/Portfolio Optimization, Trade Investment Optimization. Good-to-Have Skills: Experience with Large Language Models (LLMs) like ChatGPT, Llama 2, or Claude 2 , Familiarity with optimization methods, advanced visualization tools (Power BI, Tableau), and Time Series Forecasting Job Summary : As a Decision Science Manager , you will lead the design and delivery of AI solutions in the Consumer Goods & Services domain. This role involves working closely with clients to provide advanced analytics and AI-driven strategies that deliver measurable business outcomes. Your expertise in analytics, problem-solving, and team leadership will help drive innovation and value for the organization. Roles & Responsibilities: Analyze extensive datasets and derive actionable insights for Consumer Goods data sources (e.g., Nielsen, IRI, EPOS, TPM). Evaluate AI and analytics maturity in the Consumer Goods sector and develop data-driven solutions. Design and implement AI-based strategies to deliver significant client benefits. Employ structured problem-solving methodologies to address complex business challenges. Lead data science initiatives, mentor team members, and contribute to thought leadership. Foster strong client relationships and act as a key liaison for project delivery. Build and deploy advanced analytics solutions using Accentures platforms and tools. Apply technical proficiency in Python, Pyspark, R, SQL, and cloud technologies for solution deployment. Develop compelling data-driven narratives for stakeholder engagement. Collaborate with internal teams to innovate, drive sales, and build new capabilities. Drive insights in critical Consumer Goods domains such as Revenue Growth Management Pricing Analytics and Pricing Optimization Promotion Analytics and Promotion Optimization SKU Rationalization/ Portfolio Optimization Price Pack Architecture Decomposition Models Time Series Forecasting Professional & Technical Skills: Proficiency in AI and analytics solutions (descriptive, diagnostic, predictive, prescriptive, generative). Expertise in delivering large scale projects/programs for Consumer Goods clients on Revenue Growth Management - Pricing Analytics, Promotion Analytics, Portfolio Optimization, etc. Deep and clear understanding of typical data sources used in RGM programs POS, Syndicated, Shipment, Finance, Promotion Calendar, etc. Strong programming skills in Python, R, PySpark, SQL, and experience with cloud platforms (Azure, AWS, GCP) and proficient in using services like Databricks and Sagemaker. Deep knowledge of traditional and advanced machine learning techniques, including deep learning. Experience with optimization techniques (linear, nonlinear, evolutionary methods). Familiarity with visualization tools like Power BI, Tableau. Experience with Large Language Models (LLMs) like ChatGPT, Llama 2. Certifications in Data Science or related fields. Additional Information: The ideal candidate has a strong educational background in data science and a proven track record in delivering impactful AI solutions in the Consumer Goods sector. This position offers opportunities to lead innovative projects and collaborate with global teams. Join Accenture to leverage cutting-edge technologies and deliver transformative business outcomes. About Our Company | AccentureQualification Experience: Minimum 7-9 years of experience in data science, particularly in the Consumer Goods sector Educational Qualification: Bachelors or Masters degree in Statistics, Economics, Mathematics, Computer Science, or MBA (Data Science specialization preferred)

Responsibilities: Project Oversight: Lead, manage, and coordinate engineering activities for medium and large-scale fertilizer, chemical, petrochemical, refinery projects, ensuring timely and cost-effective completion while adhering to industry standards and safety regulations. Team Leadership: Supervise and mentor a multidisciplinary team of engineers, ensuring high performance, technical excellence, and alignment with project objectives. Technical Expertise: Provide technical leadership across multiple engineering disciplines (mechanical, electrical, civil, instrumentation, etc.) and ensure that all technical specifications and design standards are met. Project Planning Execution: Develop and implement engineering project plans, schedules, and budgets. Oversee engineering design, procurement, construction, commissioning, and startup phases. Stakeholder Management: Collaborate with internal and external stakeholders, including project owners, contractors, suppliers, and regulatory authorities, to ensure smooth project execution and resolve any technical issues. Risk Management: Identify potential risks during the engineering design and execution phases, implement mitigation strategies, and proactively manage project risks. Quality Control: Ensure quality assurance and control standards are met throughout the project, managing project deliverables to the highest technical and safety standards. Regulatory Compliance: Ensure all engineering activities comply with local, national, and international standards, regulations, and safety protocols. Budget Cost Control: Oversee project budgets, ensuring cost efficiency and optimal resource allocation while maintaining scope, schedule, and safety standards. Continuous Improvement: Foster a culture of innovation and continuous improvement, providing insights on new technologies, methodologies, and best practices in the oil gas, chemical, and petrochemical industries.

Summary: We are seeking a motivated and experienced individual to join the HCM Strategy team as a Vice President in Digital Strategy & Automation. The HCM Strategy team manages transformational initiatives enhancing our employee experience, driving quantifiable automation benefits, and promoting resiliency to serve our stakeholders within HCM and across the firm. Your role as a Vice President within this team requires a blend of strategic thinking, technical expertise, analytical abilities, and exceptional leadership qualities to drive business intelligence, automation, and AI initiatives across all functions of Human Capital Management. This role is pivotal in driving digital transformation and enhancing operational efficiency within Human Capital Management. The ideal candidate will have 5-7 years of experience in business intelligence, automation, data analytics, and AI. They will demonstrate a proven record to drive to impactful solutions and support organizational change through digital strategy and task automation. Responsibilities: Business Intelligence and Automation: Lead the development and deployment of business intelligence applications, ensuring alignment with strategic business objectives. Synthesize complex analysis results into actionable insights and recommendations, influencing strategic business decisions. Proactively identify, analyze, and resolve complex systems and algorithm performance trends or issues, developing mitigation strategies. AI and Data Science: Develop and implement AI-driven solutions to enhance business processes and decision-making. Utilize data science methodologies to analyze large datasets and generate predictive models. Collaborate with data scientists and engineers to integrate AI solutions into existing systems. Stay updated on emerging AI and data science trends and technologies, incorporating best practices. Project Management: Oversee project planning, execution, and reporting, ensuring adherence to the project lifecycle. Manage risks and dependencies proactively, ensuring successful adoption of automation products. Mentor and guide other solution experts and advisors, fostering a collaborative environment and promoting knowledge sharing. Innovation and Strategy: Champion the incubation of new low-code applications, identifying opportunities for innovation and driving adoption. Lead complex data analysis and exploratory data analysis initiatives, ensuring adherence to best practices. Collaborate strategically with Engineering to ensure automation solutions align with the firm's technology architecture strategy. Stakeholder Engagement: Lead and manage stakeholder engagements, identifying and cultivating new low-code opportunities. Actively seek out and evaluate information and opportunities from internal and external sources, incorporating best practices. Qualifications: Basic Qualifications: Bachelor's degree or equivalent in Science, Technology, Engineering, or Mathematics. 5-7 years of experience in business intelligence, automation, and data analytics. Proficiency in digital strategy, business intelligence, automation, and artificial intelligence methodologies. Relevant experience in Consumer, Financial, Social Media, Tech, or FinTech sectors. Strong problem-solving and analytical skills. Excellent written and verbal communication skills. Ability to work independently and as part of a team. Knowledge of data-related emerging trends and issues, including financial regulation. Preferred Qualifications: Solution Delivery Experience with implementing according to solution delivery frameworks such as Agile, Sig Sigma, Waterfall, etc. Able to contextualize analysis in Confluence, JIRA, MS applications etc Business Intelligence Working knowledge of analytics applications (i.e Alteryx, Tableau, Qlik, Power BI) Working knowledge of workflow applications (e.g. MS Power Platform, Appian, unqork, ServiceNow) Working knowledge of database tools (e.g. Mongo DB, Snowflake, Elastic, MS SQL) Artificial Intelligence Working knowledge of artificial intelligence programming languages (e.g. Python, R) Working knowledge of artificial intelligence computational packages (e.g. PyCharm, Scikit-Learn) Working knowledge of artificial intelligence platforms including robotics (e.g. Automation Anywhere, Anaconda, GitHub/Lab, Jupyter Hub, UiPath)

Quantitative strategists work in close collaboration with bankers, traders, and portfolio managers on complex financial and technical challenges. We work on alpha generating strategies; discuss portfolio allocation problems; and build models for prediction, pricing, trading automation, data analysis and more. The strats platform is designed for people to express themselves by providing creative solutions to business problems. Strats own analytics, models for pricing, return and risk, as well as portfolio management platform. Responsibilities As a quantitative strategist your responsibilities will include Working with revenue-generating businesses to solve a broad range of problems, including quantitative strategy development, quantitative modelling, portfolio construction, portfolio optimization, infrastructure development and implementation, financial product and markets analytics Develop quantitative analytics and signals using advanced statistical, quantitative, or econometric techniques to improve portfolio construction process and implement fund management models to track longer term portfolio performance Develop sustainable production systems, which can evolve and adapt to changes in our fast-paced, global business environment Provide quantitative analytics to optimize investment structure, pricing, returns and capital sourcing Partner globally across multiple divisions and engineering teams to create quantitative modeling-based solutions Prioritize across competing problems, communicate with key stakeholders Basic Qualifications Bachelor's / master's degree in a quantitative discipline with quantitative analytics/ research, financial modeling experience Strong understanding of mathematical concepts including probability and statistics, time series analysis, regression analysis, forecasting, optimization, machine learning, regression analysis, and other numerical techniques Strong fundamentals in design and analysis of algorithms, data structures Ability to implement coding solutions to quantitative problems, experience in developing finance and statistics-based applications and proficiency in at least one programming language such as Slang, Python, C, C++ Strong written, oral communication skills and ability to work in a team environment Ability to multi-task and prioritize work effectively Passion and self-motivation to deliver technology solutions in a dynamic business environment goldmansachs.com/careers

Quantitative strategists work in close collaboration with bankers, traders, and portfolio managers on complex financial and technical challenges. We work on alpha generating strategies; discuss portfolio allocation problems; and build models for prediction, pricing, trading automation, data analysis and more. The strats platform is designed for people to express themselves by providing creative solutions to business problems. Strats own analytics, models for pricing, return and risk, as well as portfolio management platform. Responsibilities As a quantitative strategist your responsibilities will include Working with revenue-generating businesses to solve a broad range of problems, including quantitative strategy development, quantitative modelling, portfolio construction, portfolio optimization, infrastructure development and implementation, financial product and markets analytics Develop quantitative analytics and signals using advanced statistical, quantitative, or econometric techniques to improve portfolio construction process and implement fund management models to track longer term portfolio performance Develop sustainable production systems, which can evolve and adapt to changes in our fast-paced, global business environment Provide quantitative analytics to optimize investment structure, pricing, returns and capital sourcing Partner globally across multiple divisions and engineering teams to create quantitative modeling-based solutions Prioritize across competing problems, communicate with key stakeholders Basic Qualifications Bachelor's / master's degree in a quantitative discipline with quantitative analytics/ research, financial modeling experience Strong understanding of mathematical concepts including probability and statistics, time series analysis, regression analysis, forecasting, optimization, machine learning, regression analysis, and other numerical techniques Strong fundamentals in design and analysis of algorithms, data structures Ability to implement coding solutions to quantitative problems, experience in developing finance and statistics-based applications and proficiency in at least one programming language such as Slang, Python, C, C++ Strong written, oral communication skills and ability to work in a team environment Ability to multi-task and prioritize work effectively Passion and self-motivation to deliver technology solutions in a dynamic business environment goldmansachs.com/careers

What We Do At Goldman Sachs, our Engineers don't just make things we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. Engineering, which is comprised of core and business-aligned teams, is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities Start here. Asset Management Goldman Sachs Asset Management delivers innovative investment solutions through a global, multi-product platform that offers clients the advantages that come with working with a large firm, while maintaining the benefits of a boutique. We are a top 10 global asset manager with a leadership position across asset classes and key market segments. Our success is driven by a global team of talented professionals who collaborate to deliver innovative client solutions. Quantitative Strategists Quantitative strategists work in close collaboration with bankers, traders, and portfolio managers on complex financial and technical challenges. We work on alpha generating strategies; discuss portfolio allocation problems; and build models for prediction, pricing, trading automation, data analysis and more. The strats platform is designed for people to express themselves by providing creative solutions to business problems. Strats own analytics, models for pricing, return and risk, as well as portfolio management platform. Responsibilities As a quantitative strategist your responsibilities will include Working with revenue-generating businesses to solve a broad range of problems, including quantitative strategy development, quantitative modelling, portfolio construction, portfolio optimization, infrastructure development and implementation, financial product and markets analytics Develop quantitative analytics and signals using advanced statistical, quantitative, or econometric techniques to improve portfolio construction process and implement fund management models to track longer term portfolio performance Develop sustainable production systems, which can evolve and adapt to changes in our fast-paced, global business environment Provide quantitative analytics to optimize investment structure, pricing, returns and capital sourcing Partner globally across multiple divisions and engineering teams to create quantitative modeling-based solutions Prioritize across competing problems, communicate with key stakeholders Basic Qualifications Bachelor's / master's degree in a quantitative discipline with quantitative analytics/ research, financial modeling experience Strong understanding of mathematical concepts including probability and statistics, time series analysis, regression analysis, forecasting, optimization, machine learning, regression analysis, and other numerical techniques Strong fundamentals in design and analysis of algorithms, data structures Ability to implement coding solutions to quantitative problems, experience in developing finance and statistics-based applications and proficiency in at least one programming language such as Slang, Python, C, C++ Strong written, oral communication skills and ability to work in a team environment Ability to multi-task and prioritize work effectively Passion and self-motivation to deliver technology solutions in a dynamic business environment goldmansachs.com/careers

We are seeking highly skilled and experienced Senior Investment Strategists / Lead Fund Advisors to lead the development and execution of innovative investment strategies. The ideal candidates will combine deep expertise in fund management with a strong understanding of AI/ML applications in finance to build scalable fintech solutions. Key Responsibilities: Lead the design, development, and execution of investment models and mutual fund recommendation strategies. Collaborate with AI and machine learning teams to integrate advanced analytics into investment decision-making. Ensure all investment strategies comply with relevant regulatory requirements (SEBI/AMFI). Provide expert advisory on portfolio optimization and risk management. Mentor junior team members and contribute to building a high-performance investment advisory team. Stay updated on market trends, regulatory changes, and emerging fintech innovations to maintain a competitive edge. Qualifications & Experience: CFA Charterholder OR CFP certification (mandatory). Advanced degree in Finance preferred. Minimum 5 years of relevant experience in investment strategy, fund management, or mutual fund advisory. Proven track record of managing portfolios and delivering data-driven investment solutions. Strong expertise in financial modeling, portfolio analytics, and quantitative analysis. Knowledge of AI/ML applications in finance is highly desirable. Deep understanding of regulatory compliance frameworks (SEBI/AMFI). Key Skills: Investment Strategy & Fund Management Mutual Fund Advisory Portfolio Optimization Financial Modeling & Analytics Regulatory Compliance (SEBI/AMFI) Collaboration with AI/ML Teams Data-Driven Decision Making

About The Role Job Title: Industry & Function AI Decision Science Manager + S&C GN Management Level:07 - Manager Location: Primary Bengaluru, Secondary Gurugram Must-Have Skills: Consumer Goods & Services domain expertise , AI & ML, Proficiency in Python, R, PySpark, SQL , Experience in cloud platforms (Azure, AWS, GCP) , Expertise in Revenue Growth Management, Pricing Analytics, Promotion Analytics, PPA/Portfolio Optimization, Trade Investment Optimization. Good-to-Have Skills: Experience with Large Language Models (LLMs) like ChatGPT, Llama 2, or Claude 2 , Familiarity with optimization methods, advanced visualization tools (Power BI, Tableau), and Time Series Forecasting Job Summary :As a Decision Science Manager , you will lead the design and delivery of AI solutions in the Consumer Goods & Services domain. This role involves working closely with clients to provide advanced analytics and AI-driven strategies that deliver measurable business outcomes. Your expertise in analytics, problem-solving, and team leadership will help drive innovation and value for the organization. Roles & Responsibilities: Analyze extensive datasets and derive actionable insights for Consumer Goods data sources (e.g., Nielsen, IRI, EPOS, TPM). Evaluate AI and analytics maturity in the Consumer Goods sector and develop data-driven solutions. Design and implement AI-based strategies to deliver significant client benefits. Employ structured problem-solving methodologies to address complex business challenges. Lead data science initiatives, mentor team members, and contribute to thought leadership. Foster strong client relationships and act as a key liaison for project delivery. Build and deploy advanced analytics solutions using Accenture's platforms and tools. Apply technical proficiency in Python, Pyspark, R, SQL, and cloud technologies for solution deployment. Develop compelling data-driven narratives for stakeholder engagement. Collaborate with internal teams to innovate, drive sales, and build new capabilities. Drive insights in critical Consumer Goods domains such as: Revenue Growth Management Pricing Analytics and Pricing Optimization Promotion Analytics and Promotion Optimization SKU Rationalization/ Portfolio Optimization Price Pack Architecture Decomposition Models Time Series Forecasting Professional & Technical Skills: Proficiency in AI and analytics solutions (descriptive, diagnostic, predictive, prescriptive, generative). Expertise in delivering large scale projects/programs for Consumer Goods clients on Revenue Growth Management - Pricing Analytics, Promotion Analytics, Portfolio Optimization, etc. Deep and clear understanding of typical data sources used in RGM programs POS, Syndicated, Shipment, Finance, Promotion Calendar, etc. Strong programming skills in Python, R, PySpark, SQL, and experience with cloud platforms (Azure, AWS, GCP) and proficient in using services like Databricks and Sagemaker. Deep knowledge of traditional and advanced machine learning techniques, including deep learning. Experience with optimization techniques (linear, nonlinear, evolutionary methods). Familiarity with visualization tools like Power BI, Tableau. Experience with Large Language Models (LLMs) like ChatGPT, Llama 2. Certifications in Data Science or related fields. Additional Information: The ideal candidate has a strong educational background in data science and a proven track record in delivering impactful AI solutions in the Consumer Goods sector. This position offers opportunities to lead innovative projects and collaborate with global teams. Join Accenture to leverage cutting-edge technologies and deliver transformative business outcomes. About Our Company | Qualifications Experience: Minimum 7-9 years of experience in data science, particularly in the Consumer Goods sector Educational Qualification: Bachelors or Masters degree in Statistics, Economics, Mathematics, Computer Science, or MBA (Data Science specialization preferred)