308 Operations Research Jobs - Page 11

As a mission design intern at KaleidEO, you will be working on the mission design and the operation planning for the satellite missions. Your major responsibilities will include optimization of the existing frameworks, and coming up with new methodologies to improve the mission performance, coverage, and operational efficiency. Responsibilities: Driving mission design based on the inputs from the satellite/payload teams and requirements from the end user. Developing methodologies and algorithms for optimization of the existing frameworks of the mission design and CONOPS - planning and scheduling. Exploring and identifying optimization techniques and algorithms that can be utilized in improving the efficiency of the existing frameworks. Prepare comprehensive documentation, including reports, presentations, and technical documents. Effectively managing codeworks through proper version control using GIT. Qualifications: Bachelors in Aerospace/ Mechanical Engineering or any related fields.. Good programming skills and working experience with Python, C/C++ Good knowledge of Numerical Optimization techniques, and the operations research domain. Understanding of satellite subsystems and interdependencies. Preferred Qualification and Skills Good to have practical experience in applying optimization algorithms in task scheduling problems. Good understanding of Orbital Mechanics and Space Mission Design Good understanding and knowledge of RL / DL techniques Familiarity with optimization packages like CPLEX, Gurobi, etc. Familiarity with software and tools like STK, GMAT, or similar

This position is for a Manager with an advanced degree in a quantitative discipline; requires experience and proficiency in areas of statistics, applied mathematics, SAS programming language and a good understanding of retail banking / small business lending businesses. The individual will use these skills in the development of risk models (IRB, IFRS9, Custom Scorecards and others) and other risk analytics in retail banking / small business lending portfolios. Responsibilities include developing statistically derived predictive models, perform decision tree-based customer segmentation & profiling analyses, assist business implementation of sophisticated Regulatory and Scoring models and providing analytic support to Standard Chartered businesses across the globe. Key Responsibilities Competencies: Analytical / Strategic / Conceptual thinking Attention to detail Problem solving Verbal/Written communication Presentation skills Highly motivated, organized and methodical Regulatory & Business Conduct Display exemplary conduct and live by the Group s Values and Code of Conduct. Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct. Lead the [country / business unit / function/XXX [team] to achieve the outcomes set out in the Bank s Conduct Principles: [Fair Outcomes for Clients; Effective Financial Markets; Financial Crime Compliance; The Right Environment. ] * Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters. [Insert local regulator e. g. PRA/FCA prescribed responsibilities and Rationale for allocation]. [Where relevant - Additionally, for subsidiaries or relevant non -subsidiaries] Serve as a Director of the Board of [insert name of entities] Exercise authorities delegated by the Board of Directors and act in accordance with Articles of Association (or equivalent) Other Responsibilities Embed Here for good and Group s brand and values in XXXX [country / business unit / team]; Perform other responsibilities assigned under Group, Country, Business or Functional policies and procedures; Multiple functions (double hats); [List all responsibilities associated with the role] Skills and Experience Credit Risk Modelling Qualifications Bachelors / Advanced (Masters or higher) Degree in Statistics, Applied Mathematics, Operations Research, Economics, Engineering or other quantitative discipline Good understanding of retail banking / small business / consumer finance products and business life-cycles (e. g. sales, underwriting, portfolio management, marketing, collections) 1-4 in-depth years experience in hands-on Statistical Modeling in credit risk for retail banking / small business / consumer finance portfolios Proficient statistical programming skills in SAS (preferred) or similar, strong analytical skills and understanding of quantitative and statistical analysis Hands-on experience in mining data and understanding data patterns Experience in directly interacting with Business and exposure to International markets will be a plus About Standard Chartered Were an international bank, nimble enough to act, big enough for impact. For more than 170 years, weve worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If youre looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we cant wait to see the talents you can bring us. Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, youll see how we value difference and advocate inclusion. Together we: Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term What we offer In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing. Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations. Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum. Flexible working options based around home and office locations, with flexible working patterns. Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning. Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential. www. sc. com/careers 30346

At Yugabyte , we are on a mission to become the default transactional database for enterprises building cloud-native applications. YugabyteDB is our PostgreSQL-compatible distributed database for cloud-native apps. Resilient, scalable, and flexible, it runs on any cloud and enables developers to become instantly productive using well-known APIs.We are looking for talented and driven people to join us on our ambitious mission and help us build a lasting and impactful company.The transactional database market is estimated to grow to $64B by 2025. YugabyteDB is cloud-native by design, has on-demand horizontal scalability, and supports geographical distribution of data using built-in replication. This means that we are well-positioned to meet market demand for geo-distributed, high-scale, high-performance workloads. Join the Database Revolution at Yugabyte. Modern applications need a cloud-native database that eliminates tradeoffs and silos. YugabyteDB retains the power and familiarity of PostgreSQL by pairing its trusted API with a precision-engineered, distributed, cloud-native architecture. Even better, it s 100% open source. Many of the worlds leading enterprises are migrating from legacy RDBMSs (like Oracle, SQL Server, and DB2) to YugabyteDB, to meet their mission-critical app demands. Role Yugabyte is growing, and were looking for an experienced Product Data Analyst to take our product-led experience to the next level. If you re passionate about mapping user journeys, capturing in-product events and analyzing user behavior, optimizing user experience, and reducing user time to value through continuous experimentation, this role is for you. As a Product Data Analyst, you ll be responsible for all things data and analytics inside our SaaS and On-premesis offerings.. Youll manage in-product experiments, data capture, building data pipelines, and building reports and dashboards that tell the story about user journey. You ll work closely with product management, engineering, and marketing to make sure that the right data is captured and available to various teams to continuously improve user engagement. Responsibilities Build the analytics foundation to understand, monitor, and improve YugabyteDB user journey.. Collaborate closely with product, engineering, marketing, and design teams to translate in-product data insights into feature improvement and identifying opportunities for in-context user engagement and support. Define key metrics for measuring product-led sales success. Build dashboards and ongoing reports to surface insights and drive decision-making. Develop data-driven understanding of user Acquisition, Activation, Time-to-value, and Revenue Deepen understanding of user behaviors through analytics and experimentation to uncover strategic business opportunities for Yugabyte. Lead experimentation, execution, and assessing their impact on our key metrics. Guide the team in standardizing analytical processes and evangelize these methods across different functions. Influence roadmap development and strategic decision-making processes. Foster a data-driven, test-and-learn culture with your passion for storytelling with data. Requirements A quantitative degree or equivalent experience in fields such as Statistics, Economics, Mathematics, Operations Research, or Engineering is preferred. An advanced degree or equivalent experience is a plus. 4-12 years in analytics, with a preference for PLG, in- product analytics experience. Proficiency in building metric frameworks to understand user behaviors. Experience with products such as Rudderstack, Segment, Pendo, Amplitude, Mixpanel, Intercom etc. Sophisticated SQL skills, building data pipelines, and query optimization. A high level of comfort delivering reporting and insights within a data visualization platform. Looker is a plus. Led experimentation and statistical/predictive analysis to advise decision-making. Fostered a culture of continuous improvement by providing clear direction, setting expectations, and engaging cross-functional teams. Excellent communication and storytelling skills, a record of working cross-functionally to achieve results. Equal Employment Opportunity Statement : To review Yugabytes Privacy Policy please visit Yugabyte Privacy Notice .

As product manager for quick commerce supply chain, you will build solutions to power a nimble and agile supply chain that ships millions of units every day. Amazon Now (quick commerce) is well funded startup in Amazon, where we are challenging the norms to deliver on critical mission to make quick commerce work for Amazon. You will work on interesting problem statements across supply chain domains cutting from warehouse operations, buying, replenishment and labour planning. You are expected to work through ambiguity, cut through clutter to find right problems to solve and partner with stakeholders across operations, tech and business (instock, operations excellence, marketing, category) to build world class solutions. All this while building with right speed. 1. Evaluate supply chain problem space in context of business needs as per evolution of business to find right opportunities in supply chain planning space. 2. Experiment solutions that maximize instock and availability at dark stores [Key north star metric is to hit desired level of stock availability and SWOOS - sales weighted out of stock ] 3. Create and deliver a robust roadmap to deliver right optimization solutions by being proficient in operations research - 3+ years of product management experience - Experience managing technical products or online services - Experience in product, program, or project management in leading cross-functional teams in delivery of major new products or services - Knowledge of SQL and VBA at an advanced level - Experience building and analyzing cost/benefit scenarios and business cases and communicating results throughout the organization

Mission The Machine Learning (ML) Practice team is a highly specialized customer-facing ML team at Databricks facing an increasing demand for Large Language Model (LLM)-based solutions. We deliver professional services engagements to help our customers build, scale, and optimize ML pipelines, as well as put those pipelines into production. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in LLMs, MLOps, and ML more broadly. This role can be remote based in India. The impact you will have: Develop LLM solutions on customer data such as RAG architectures on enterprise knowledge repos, querying structured data with natural language, and content generation Build, scale, and optimize customer data science workloads and apply best in class MLOps to productionize these workloads across a variety of domains Advise data teams on various data science such as architecture, tooling, and best practices Present at conferences such as Data+AI Summit Provide technical mentorship to the larger ML SME community in Databricks Collaborate cross-functionally with the product and engineering teams to define priorities and influence the product roadmap What we look for: Experience building Generative AI applications, including RAG, agents, text2sql, fine-tuning, and deploying LLMs, with tools such as HuggingFace, Langchain, and OpenAI 4+ years of hands-on industry data science experience, leveraging typical machine learning and data science tools including pandas, scikit-learn, and TensorFlow/PyTorch Experience building production-grade machine learning deployments on AWS, Azure, or GCP Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike Passion for collaboration, life-long learning, and driving business value through ML [Preferred] Experience working with Databricks & Apache Spark to process large-scale distributed datasets

About Team Myntra Data Science team delivers a large number of data science solutions for the company which are deployed at various customer touch points every quarter. The models create significant revenue and customer experience impact. The models involve real-time, near-real-time and offline solutions with varying latency requirements. The models are built using massive datasets. You will have the opportunity to be part of a rapidly growing organization and gain exposure to all the parts of a comprehensive ecommerce platform. You ll also get to learn the intricacies of building models that serve millions of requests per second at sub second latency. The team takes pride in deploying solutions that not only leverage state of the art machine learning models like graph neural networks, diffusion models, transformers, representation learning, optimization methods and bayesian modeling but also contribute to research literature with multiple peer-reviewed research papers. Roles and Responsibilities Design, develop and deploy machine learning models,algorithms and systems to solve complex business problems for Myntra Recsys, Search, Vision, SCM, Pricing, Forecasting, Trend and Virality prediction, Gen AI and other areas Theoretical understanding and practise of machine learning and expertise in one or more of the topics, such as, NLP, Computer Vision, recommender systems and Optimisation. Implement robust and reliable software solutions for model deployment. Support the team in maintaining machine learning pipelines, contributing to tasks like data cleaning, feature extraction and basic model training. Participate in monitoring the performance of machine learning models, gaining experience in using statistical methods for evaluation. Working with the Data Platforms teams for understanding and collecting the data. Conduct performance testing, troubleshooting and tuning as required. Stay current with the latest research and technology and communicate your knowledge throughout the enterprise. Qualifications & Experience Master s/PhD in Computer Science, Mathematics, Statistics/related fields or 1+ years of relevant industry experience with a Bachelor s degree. Proficiency in Python or one other high-level programming language. Theoretical understanding of statistical models such as regression, clustering and ML algorithms such as decision trees, neural networks, etc. Strong written and verbal communication skills Intellectual curiosity and enthusiastic about continuous learning Experience developing machine learning models in Python, or equivalent programming language. Basic familiarity with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn. Introductory understanding of statistics as it applies to machine learning. Ability to manage and prioritize your workload and support his/her manager. Experience with SQL and/or NoSQL databases. If you are an exceptional candidate, write in. We are happy to hire you even if you don't have the certified qualifications. Nice to Have: Publications or presentations in recognized Machine Learning and Data Science journals/conferences. Experience with ML orchestration tools (Airflow, Kubeflow or MLFlow) Exposure to GenAI models.

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, youll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. Function Description: Global Services Group (GSG) brings together the company s external and internal servicing functions, and includes the below world-class organizations: Global Servicing Network, which provides exceptional care to our external customers, and Global Business Services, which provides many of the vital internal services that make American Express run efficiently. SABE Sales and Business Enablement (SABE) is an internal servicing team providing sale performance reporting and business enablement support to the enterprise. The objective of the SABE Performance Reporting and Insights team is to ensure that Commercial and Merchant businesses have timely and accurate reporting, insights, and forward-looking actions to help drive business performance. Responsibilities: The position will have responsibility to lead development & ongoing delivery of Performance Reporting & Insights. This role places a focus on ability to think strategically, to synthesize complex data & deliver relevant & insightful reporting to the Business users Deliver comprehensive performance reporting and Insights to help the leadership team and individuals evaluate and drive business performance. Partner with functional leaders, Strategic Business Partners and senior leaders to remove friction points, ensure data integrity for reporting and insights to fulfill business requirements and enable actions. Understand complex operational systems and business intelligence tools, sales platforms for developing efficient, insightful products and offerings for customers Devise process improvement tools and methodologies that will ensure detailed delivery exceeding customer expectations. Evolve reporting to meet key business priorities, engage early on with customers, gain agreement for implementing proposed solutions. Leverage standard processes internally and bring outside-in perspective to deliver best of breed reporting and insights Critical Factors to Success (Outcome Driven): Business Outcomes: Strong analytical skills and an innovative approach to solving both practical and theoretical problems and a tremendous will to win Demonstrated ability to provide insight and accurate judgment in addressing and resolving business challenges and opportunities Ability to interpret insights to derive strong requirements and prioritization based on data. Strong people relationship building, management and influencing skills Exceptional verbal, written, and interpersonal communication skills Engage with key customers to drive initiatives to enhance sales experience. Automate and standardize reporting processes Leadership Outcomes: Put enterprise thinking first, connect the role s agenda to enterprise priorities and balance the needs of customers, partners, colleagues & shareholders. Lead with an external perspective, challenge status quo and bring continuous innovation to our existing offerings Demonstrate learning agility, make decisions quickly and with the highest level of integrity Lead with a digital approach and deliver the world s best customer experiences every day Past Experience 8-10 years relevant experience with excellent knowledge Reporting and Visualization tools Preferred: Experience in Python and Hive & Tableau. Academic Background Master s degree in Economics/ Statistics / Operations research /Maths Skills/Capabilities Functional Understanding of merchant business process Analytics & reporting domain experience Technical Analytics & Insights Python, SAS, R, SQL Basic Statistical Knowledge: Hive/ML techniques Advanced data manipulation & automation skills Data visualization Exposure to Big data environment & tool Preferred: Data Analytics , Automation experience Platforms Big Data Platforms: Cornerstone/Lumi Visualization Platforms: Tableau Advanced MS Office Suites (Word, Excel, Powerpoint, Access) Amex Platform Knowledge: CS/ CODL Preferred : Dashboard Creation Behavioral Enterprise Leadership Behaviors Set The Agenda: Define What Winning Looks Like, Put Enterprise Thinking First, Lead with an External Perspective Bring Others With You: Build the Best Team, Seek & Provide Coaching Feedback, Make Collaboration Essential Do It The Right Way: Communicate Frequently, Candidly & Clearly, Make Decisions Quickly & Effectively, Live the Blue Box Values, Great Leadership Demands Courage We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:

The Global Data Insights and Analytics (GDI&A) department at Ford Motor Company is looking for qualified people who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, Econometrics, and Optimization. The goal of GDI&A is to drive evidence-based decision making by providing insights from data. Applications for GDI&A include, but are not limited to, Connected Vehicle, Smart Mobility, Advanced Operations, Manufacturing, Supply chain, Logistics, and Warranty Analytics. Potential candidates should have hands-on experience in applying first principles methods, machine learning, data mining, and text mining techniques to build analytics prototypes that work on massive datasets. Candidates should have experience in manipulating both structured and unstructured data in various formats, sizes, and storage-mechanisms. Candidates should have excellent problem-solving skills with an inquisitive mind to challenge existing practices. Candidates should have exposure to multiple programming languages and analytical tools and be flexible to using the requisite tools/languages for the problem at-hand BE, B. Tech, M. S. or Ph. D. in Engineering, Computer Science, Operations research, Statistics, Applied mathematics, or in a related field 3+ years of hands-on experience in using machine learning/text mining tools and techniques such as Clustering / classification / decision trees, Random forests, Support vector machines, Deep Learning, Neural networks, Reinforcement learning, and other numerical algorithms 3+ years of experience in at least one of the following languages: Python, R, MATLAB, SAS Experience with GoogleCloud Platform (GCP) including VertexAI, BigQuery, DBT, NoSQL database Excellent problem solving, communication, and data presentation skills Build data-driven models to understand the characteristics of engineering systems Apply machine learning, data mining and text mining techniques to create scalable solutions for business problems Train, tune, validate, and monitor predictive models Analyze and extract relevant information from large amounts of historical business data especially related to quality, product development, and connected vehicles, both in structured and unstructured formats Establish scalable, efficient, automated processes for large scale data analyses Package and present the findings and communicate with large cross-functional teams

The Global Data Insights and Analytics (GDI&A) department at Ford Motor Company is looking for qualified people who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, Econometrics, and Optimization. The goal of GDI&A is to drive evidence-based decision making by providing insights from data. Applications for GDI&A include, but are not limited to, Connected Vehicle, Smart Mobility, Advanced Operations, Manufacturing, Supply chain, Logistics, and Warranty Analytics. Potential candidates should have hands-on experience in applying first principles methods, machine learning, data mining, and text mining techniques to build analytics prototypes that work on massive datasets. Candidates should have experience in manipulating both structured and unstructured data in various formats, sizes, and storage-mechanisms. Candidates should have excellent problem-solving skills with an inquisitive mind to challenge existing practices. Candidates should have exposure to multiple programming languages and analytical tools and be flexible to using the requisite tools/languages for the problem at-hand BE, B.Tech, M.S. or Ph.D. in Engineering, Computer Science, Operations research, Statistics, Applied mathematics, or in a related field 3+ years of hands-on experience in using machine learning/text mining tools and techniques such as Clustering / classification / decision trees, Random forests, Support vector machines, Deep Learning, Neural networks, Reinforcement learning, and other numerical algorithms 3+ years of experience in at least one of the following languages: Python, R, MATLAB, SAS Experience with GoogleCloud Platform (GCP) including VertexAI, BigQuery, DBT, NoSQL database Excellent problem solving, communication, and data presentation skills Build data-driven models to understand the characteristics of engineering systems Apply machine learning, data mining and text mining techniques to create scalable solutions for business problems Train, tune, validate, and monitor predictive models Analyze and extract relevant information from large amounts of historical business data especially related to quality, product development, and connected vehicles, both in structured and unstructured formats Establish scalable, efficient, automated processes for large scale data analyses Package and present the findings and communicate with large cross-functional teams

About Us: Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more Based in SF and Hyderabad, we are a young, fast-moving team on a mission to build AI for Good, driving innovation and positive societal impact We are seeking experienced AI TrainerMathematics with a minimum of 1 year of experience to join us in Hyderabad and contribute to impactful AI training projects Key Responsibilities: Develop, review, and refine math problems, step-by-step solutions, and detailed explanations Evaluate AI-generated mathematical content for accuracy, clarity, and logical consistency Debug and correct conceptual or calculation errors in AI-generated content Participate in training LLMs using RLHF methods Required Qualifications: 1+ year of experience in Mathematics-related fields (Teaching, Research, Content Development, etc ) Strong understanding of Algebra, Calculus, Probability, Trigonometry, Geometry, and Statistics Ability to assess and improve AI-generated math responses Familiarity with curriculum-based or competitive math content is a plus Why Join Us Work in a competitive environment Hands-on experience working on real-world AI training tasks Competitive stipend (Rs 25,000- 35,000) Shape the future of AI with Soul AI!

Job summary: Our Firmwide Risk Function is focused on cultivating a stronger, unified culture that embraces a sense of personal accountability for developing the highest corporate standards in governance and controls across the firm. Business priorities are built around the need to strengthen and guard the firm from the many risks we face, financial rigor, risk discipline, fostering a transparent culture and doing the right thing in every situation. We are equally focused on nurturing talent, respecting the diverse experiences that our team of Risk professionals bring and embracing an inclusive environment. Chase Consumer & Community Banking serves consumers and small businesses with a broad range of financial services, including personal banking, small business banking and lending, mortgages, credit cards, payments, auto finance and investment advice. Consumer & Community Banking Risk Management partners with each CCB sub-line of business to identify, assess, prioritize and remediate risk. Types of risk that occur in consumer businesses include fraud, reputation, operational, credit, market and regulatory, among others. Join our Model Insights Team , a Center of Excellence within Consumer & Community Banking (CCB) Risk Modeling, committed to tracking of comprehensive health of machine learning models. We are responsible for sanity of model inputs and score performance tracking for CCB risk decision models. Team collaborates with model developers to identify and recommend potential opportunities for model calibration. We are constantly seeking for opportunities to enhance model performance tracking framework, with aim of providing feedback loop to risk strategies. We are seeking candidates who possess extensive knowledge of data science techniques, appreciation for data combined with of domain expertise, and a keen eye for detail and logic. It s an opportunity to make an impact to model performance monitoring and governance practices for CCB risk models. Job responsibilities: Drive synergy in model performance tracking across different sub-lines of business. Enhance model performance framework to holistically capture model health, providing actionable insights to model users. Collaborate with model developers to identify potential opportunities for model calibration and conduct preliminary Root Cause Analysis in case of model performance decay. Design and build robust framework to monitor quality of model inputs. Explore opportunities to drive efficiency in model inputs and performance tracking through use of Large Language Model (LLM). Partner with teams across, Risk, Technology, Data Governance, and Control to support effective model performance management and insights. Deliver regular updates on model health to senior leadership of risk organization and the first line of defense. Required qualifications, capabilities, and skills Advanced degree in Mathematics, Statistics, Computer Science, Operations Research, Econometrics, Physics, or a related quantitative field. Minimum of 3 years of experience in developing and managing predictive risk models in financial industry. Proficiency in programming languages such as Python, PySpark, and SQL, along with familiarity with cloud services like AWS SageMaker and Amazon EMR. Deep understanding of advanced machine learning algorithms (e.g. Decision Trees, Random Forest, XGBoost, Neural Networks, Clustering etc) Strong conceptual understanding of performance metrics used to monitor health of machine learning models. Fundamental understanding of the consumer lending business and risk management practices. Experience of working with large datasets with strong ability to analyze, interpret, and derive insights from data. Advanced problem-solving and analytical skills, with a keen attention to detail. Excellent communication skills, with the ability to convey complex information clearly and effectively to senior management. Preferred qualifications, capabilities, and skills Experience of data wrangling and model building on a distributed Spark computation environment (with stability, scalability and efficiency). Proven expertise in designing, building, and deploying production-quality machine learning models. Ability to effectively collaborate with multiple stakeholders on projects of strategic importance, ensuring alignment and successful outcomes. Basic level of proficiency in Tableau

Entity :- Accenture Strategy & Consulting Job location :- Mumbai About S&C - Global Network :- Accenture Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition WHAT'S IN IT FOR YOU? Accenture CFO & EV team under Data & AI team has comprehensive suite of capabilities in Risk, Fraud, Financial crime, and Finance. Within risk realm, our focus revolves around the model development, model validation, and auditing of models. Additionally, our work extends to ongoing performance evaluation, vigilant monitoring, meticulous governance, and thorough documentation of models. Get to work with top financial clients globally Access resources enabling you to utilize cutting-edge technologies, fostering innovation with the world's most recognizable companies. Accenture will continually invest in your learning and growth and will support you in expanding your knowledge. You'll be part of a diverse and vibrant team collaborating with talented individuals from various backgrounds and disciplines continually pushing the boundaries of business capabilities, fostering an environment of innovation. What you would do in this role Engagement Execution Work independently/with minimal supervision in client engagements that may involve model development, validation, governance, strategy, transformation, implementation and end-to-end delivery of risk solutions for Accenture's clients. Ability to manage workstream of large projects / small projects with responsibilities of managing quality of deliverables for junior team members. Demonstrated ability of managing day to day interactions with the Client stakeholders Practice Enablement Guide junior team members. Support development of the Practice by driving innovations, initiatives. Develop thought capital and disseminate information around current and emerging trends in Risk. Qualifications Who we are looking for? 7 - 12 years of relevant Risk Analytics experience at one or more Financial Services firms, or Professional Services / Risk Advisory with significant exposure to one or more of the following areas: Development, validation, and audit of: Credit Risk- PD/LGD/EAD Models, CCAR/DFAST Loss Forecasting and Revenue Forecasting Models, IFRS9/CECL Loss Forecasting Models across Retail and Commercial portfolios Credit Acquisition/Behavior/Collections/Recovery Modeling and Strategies, Credit Policies, Limit Management, Acquisition Frauds, Collections Agent Matching/Channel Allocations across Retail and Commercial portfolios Regulatory Capital and Economic Capital Models Liquidity Risk Liquidity models, stress testing models, Basel Liquidity reporting standards Anti Money Laundering AML scenarios/alerts, Network Analysis Operational risk AMA modeling, operational risk reporting Conceptual understanding of Basel/CCAR/DFAST/CECL/IFRS9 and other risk regulations Experience in conceptualizing and creating risk reporting and dashboarding solutions. Experience in modeling with statistical techniques such as linear regression, logistic regression, GLM, GBM, XGBoost, CatBoost, Neural Networks, Time series ARMA/ARIMA, ML interpretability and bias algorithms etc. Programing Languages - SAS, R, Python, Spark, Scala etc., Tools such as Tableau, QlikView, PowerBI, SAS VA etc. Strong understanding of Risk function and ability to apply them in client discussions and project implementation. Academic Requirements: Masters degree in a quantitative discipline mathematics, statistics, economics, financial engineering, operations research or related field or MBA from top-tier universities. Strong academic credentials and publications, if applicable. Industry certifications such as FRM, PRM, CFA preferred. Excellent communication and interpersonal skills.

Project Role : Decision Science Practitioner Project Role Description : Use domain and industry expertise to design and deliver AI-based decision-making frameworks and models for business outcomes. Must have skills : Value Engineering (VE) Good to have skills : NA Minimum 12 year(s) of experience is required Educational Qualification : BE Summary :You will play a strategic leadership role in helping us to continuously improve our products and customer experience with your strong problem-solving ability, communication, people management capabilities and your domain expertise. Roles & Responsibilities:Your success will be measured on 3 dimensions namely people, customer, business On customer front you will be responsible for Implementing methodologies to contextualize complex processes Abstract the problem statement with the objective function Be the key touch point and manage all customer presentations Define success metrics and scope the project clearly Manage technical delivery and mitigate risks on time Engage with customer continuously and ensure success On people front you will be responsible for Build a champion team and create a culture of excellence Empower the team and delegate with confidence Engage in open discussions and give constructive feedback Ensure employee retention On Business front you will be responsible for Maximize the gross margin of projects getting executed Mine existing accounts through change requests, new projects etc Identify replication possibilities to expand revenue base Develop partnership for GTM and Co-sell Professional & Technical Skills: Minimum 10 years of total experience with recent & relevant experience of at least 3 years related to process data analysis Should have strong analytical capability and understanding of operations data landscape. Solid understanding of Statistics, Process Control, optimization techniques and Artificial Intelligence algorithms. Hands On experience in solving real-world process optimization problems. Experience in any one Industry vertical like Oil & Gas, Process Chemical, Metal Processing, Food and Beverages, Pharma would be important. Experience with customer handling Familiarity with agile methodology of project execution Desired Characteristics: Strong oral and written communication skills Strong interpersonal and leadership skills Ability to influence others and lead small teams Lead initiatives of moderate scope and impact Ability to coordinate several projects simultaneously Effective problem identification and solution skills - Proven analytical and organizational ability Additional Information: The candidate should have a minimum of 14 years of experience in Value Engineering (VE). The ideal candidate will possess a strong educational background in statistics, mathematics, computer science, or a related field, along with a proven track record of delivering impactful data-driven solutions. This position is based at our Bengaluru office. Qualification BE

Senior analyst with good ML model experience for the Regions Bank account Job Description: Primary Responsibilities for a Risk Data Scientist on the BSA/AML/OFAC Model Development and Monitoring Team: Design and develop transaction monitoring scenarios. Improves segmentation for the scenarios/models using techniques such as clustering. Executes periodic tuning for the threshold parameters of the scenarios through sample collection. Develops post processing models to reduce the number of false positives generated by the scenarios using techniques such as rare event logistic regression and machine learning algorithms. Researches and develops algorithms that incorporates fuzzy logic for OFAC sanction screening and other types of screening processes. Develops post processing models that incorporate Natural Language Processing techniques to reduce the number of false positives. Implementation of models. Develops and executes ongoing monitoring plan to monitor the performance of the models. Documentation of the model development, especially the implementation process. Supports model validation activities. Ad hoc analysis to address requests from business partners. Requirements Bachelor s degree in Statistics, Data Science, Operations Research, Industrial Engineering, Mathematics, or Physics, AND six (6) years related experience. Master s degree in Statistics, Data Science, Operations Research, Industrial Engineering, Mathematics, or Physics, AND four (4) years related experience. OR PhD degree in Statistics, Operations Research, Industrial Engineering, Mathematics, or Physics, AND two (2) years related experience. Skills and Competencies High proficiency with Python, R, SAS, and SQL. Advanced data sourcing and management skills. Enhanced experience with web scraping. Knowledge and experience with CDSW platform. Experience with software development, especially deployment. Experience with classification models. Location: DGS India - Bengaluru - Manyata N1 Block Brand: Merkle Time Type: Full time Contract Type: Permanent

Senior analyst with good ML model experience for the Regions Bank account Job Description: Primary Responsibilities for a Risk Data Scientist on the BSA/AML/OFAC Model Development and Monitoring Team: Design and develop transaction monitoring scenarios. Improves segmentation for the scenarios/models using techniques such as clustering. Executes periodic tuning for the threshold parameters of the scenarios through sample collection. Develops post processing models to reduce the number of false positives generated by the scenarios using techniques such as rare event logistic regression and machine learning algorithms. Researches and develops algorithms that incorporates fuzzy logic for OFAC sanction screening and other types of screening processes. Develops post processing models that incorporate Natural Language Processing techniques to reduce the number of false positives. Implementation of models. Develops and executes ongoing monitoring plan to monitor the performance of the models. Documentation of the model development, especially the implementation process. Supports model validation activities. Ad hoc analysis to address requests from business partners. Requirements Bachelor s degree in Statistics, Data Science, Operations Research, Industrial Engineering, Mathematics, or Physics, AND six (6) years related experience. Master s degree in Statistics, Data Science, Operations Research, Industrial Engineering, Mathematics, or Physics, AND four (4) years related experience. OR PhD degree in Statistics, Operations Research, Industrial Engineering, Mathematics, or Physics, AND two (2) years related experience. Skills and Competencies High proficiency with Python, R, SAS, and SQL. Advanced data sourcing and management skills. Enhanced experience with web scraping. Knowledge and experience with CDSW platform. Experience with software development, especially deployment. Experience with classification models. Location: DGS India - Bengaluru - Manyata N1 Block Brand: Merkle Time Type: Full time Contract Type: Permanent

Job Summary PayPals GFP Fraud Risk team is responsible for partnering with global business units to manage a variety of risk of various types, including identity fraud, account takeover, stolen financial fraud, seller fraud, and credit issues. This is an exciting department that plays an important role in contributing PayPals bottom line financial savings, ensuring safe and secure global business growth, and delivering the best customer experience. This open opportunity is within the Risk Business Intelligence (BI) team. The BI team addresses key strategic and critical business initiatives. It partners with leaders to develop business cases for potential investments. The team also provides insights and recommendations to ensure smooth execution with cross-functional partners. Job Description Your day to day - High proficiency in technical / data-mining skills and working knowledge of dealing with large volumes of data using tools such as SQL, Python in GCP BigQuery/Hadoop environment. Ability to identify trends, patterns, and anomalies in large datasets and strong critical thinking to derive actionable insights from data. Expertise to perform storytelling with data and insights, drive key business decision-making Expertise in A/B testing, hypothesis testing, and statistical significance in supporting initiative and program focus. Experience with business segmentation, customer experience and churn analytics, business growth evaluation. Design, build and maintain dashboards and data visualization through tools like Tableau, Power BI, and Looker. Expertise in predictive modelling, regression, and time-series analysis Ability to translated technical findings into business recommendations and working with business partners to implement. Attention to details and ensuring work outcome accuracy and reliability What do you need to bring- Master s degree in related field and 10+ years related professional work experience (Data Science, Computer Science, Statistics, Business Analytics, Operations Research, etc.) 5+ year of experience as people manager Understanding of Fraud/Credit risk in the financial industry, experience with Payment risk preferred Good time and program management, can handle multiple projects or action items at the same time with challenging deadlines. Well-developed research and analytical skills with good problem solving and lateral thinking ability Working knowledge of SQL, Python, or other programming languages. Experience with GCP Big Query, Hadoop environment Excellent verbal and written communication skills with the ability to articulate concepts and ideas to diverse audiences.

Were Celonis, the global leader in Process Mining technology and one of the worlds fastest-growing SaaS firms. We believe there is a massive opportunity to unlock productivity by placing data and intelligence at the core of business processes - and for that, we need you to join us. The Team: The Celonis Supply Chain team is a young team of product enthusiasts that focuses on developing best-in class Business Apps in the domain of Supply Chain. Business Apps are purpose-built solutions created for a specific line of business, addressing most impactful pain points in their respective domain. The apps are best practice examples of how Celonis is used in new, innovative ways that push the boundaries of our platform. The team has a great balance of technical skills to build solutions paired with a customer focus and product management mindset to create meaningful products widely adopted across our customer base. The Role: You will gain experience in the Supply Chain and related processes and act as the interface between customers, our Go-To-Market and our Product & Engineering teams, shaping the future of Celonis Business Apps in this domain. Take this chance to rethink the way companies run their Supply Chain processes and help our customers to accelerate their value realization with Celonis. The work you ll do: Work closely with customers to understand their pain points in Supply Chain with a focus on Production and Production Planning Be involved in all steps within the product development lifecycle from ideation to product development to scaling solutions across all Celonis customers Use the Celonis Process Intelligence Platform hands-on to develop new, innovative solutions in the area of Production Collaborate with platform product managers and engineers to guide and influence feature development of the platform Work together with our UX team to define the user experience for our products If you are passionate about Supply Chain and Production Planning, the Celonis technology, and what it can do for our customers, heres your chance to directly contribute to taking our Celonis Process Intelligence Platform to the next level. The qualifications you need: 6-9+ years of experience in Solution Engineering, Implementation Consulting, Business Analytics, Operations Research or comparable roles Expert in data analysis including with tools native to the Celonis platform: SQL, PQL and Python Experience with SAP, Oracle or other ERP systems, specifically with their respective production modules Experience working with MRP is a plus Project management experience and excellent planning and organizational skills Creativity in problem solving, solution-oriented, self-motivated, able to work independently and collaborate well within and outside the team Excellent verbal and written communication skills and the willingness to work very closely with customers and cross-functional stakeholders Very good knowledge of spoken and written English What Celonis Can Offer You: Pioneer Innovation: Work with the leading, award-winning process mining technology, shaping the future of business. Accelerate Your Growth: Benefit from clear career paths, internal mobility, a dedicated learning program, and mentorship opportunities. Receive Exceptional Benefits: Including generous PTO, hybrid working options, company equity (RSUs), comprehensive benefits, extensive parental leave, dedicated volunteer days, and much more . Prioritize Your Well-being: Access to resources such as gym subsidies, counseling, and well-being programs. Connect and Belong: Find community and support through dedicated inclusion and belonging programs. Make Meaningful Impact: Be part of a company driven by strong values that guide everything we do: Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future. Collaborate Globally: Join a dynamic, international team of talented individuals. Empowered Environment: Contribute your ideas in an open culture with autonomous teams. About Us: Celonis makes processes work for people, companies and the planet. The Celonis Process Intelligence Platform uses industry-leading process mining and AI technology and augments it with business context to give customers a living digital twin of their business operation. It s system-agnostic and without bias, and provides everyone with a common language for understanding and improving businesses. Celonis enables its customers to continuously realize significant value across the top, bottom, and green line. Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide. Get familiar with the Celonis Process Intelligence Platform by watching this video . Celonis Inclusion Statement: At Celonis, we believe our people make us who we are and that The Best Team Wins . We know that the best teams are made up of people who bring different perspectives to the table. And when everyone feels included, able to speak up and knows their voice is heard - thats when creativity and innovation happen. Your Privacy: Any information you submit to Celonis as part of your application will be processed in accordance with Celonis Accessibility and Candidate Notices By submitting this application, you confirm that you agree to the storing and processing of your personal data by Celonis as described in our Privacy Notice for the Application and Hiring Process . Please be aware of common job offer scams, impersonators and frauds. Learn more here .

Java with Domain knowledge, 5 to 10 years of exp required , Responsible for enhancing, evolving, and supporting high-availability Electricity Energy Market Management System (MMS). Experience in development or project delivery, preferably in Power Systems Analysis, Security Constrained Unit Commitment and Economic Dispatch using Mixed Integer Programming (MIP)/Optimization, or Applied Mathematics and Operations Research Experience with Power Systems Application software development and implementation Develop and evolve software in a dynamic and agile environment Provide maintenance of power systems application functionality, including code fixes, creating tools for model conversion, documentation, and user interfaces Functional understanding of Power Market Operations (Including but not limited to Scheduling, Dispatch, Bidding, Pricing, Settlement systems, bilateral trading, spot markets, ancillary services etc.) Experience of developing and deploying high performance applications for power system analysis, simulation and optimization Experience with power system modelling tools (E-TAP by Schneider Electric, PSS Siemens, ABB GridView etc.) Familiarity with SCADA, DMS, EMS etc. and their integration with market systems Understanding of intermittent renewable energy integration, forecasting and power market dynamics Power System, Scada, Mms, Java

Glance - An InMobi Group Company Founded in 2019, Glance is a consumer technology company that operates some of the most disruptive digital platforms including Glance, Roposo, and Glance TV. Glance has redefined the way the internet is consumed on the lock screen, removing the need to search for and download apps. Over 400 million smartphones now come enabled with Glance s next-generation internet experience. Roposo has revolutionized commerce by launching a destination for creator-led live entertainment commerce. Glance TV is changing the way consumers engage and interact with their televisions. Headquartered in Singapore, Glance is an unconsolidated subsidiary of InMobi Group and is funded by Jio Platforms, Google, and Mithril Capital. For more information, visit glance.com, roposo.com, and inmobi.com. What should you know about joining Glance? At Glance, we walk the talk - free yourself, dream big, and chase your passion! On joining, you ll have opportunities to make an immediate impact on mission-critical projects, as you work with highly capable and ambitious peer groups. Be rewarded for your autonomy even as you collaborate. Ideate, innovate, and inspire by leveraging bleeding-edge tech to disrupt consumer experiences. While you work, we ll take care of nourishing your body, mind, and soul. This includes daily meals, gym, trainings, tech tools, and regular unwind sessions. Also, feel free to bring your kids - even the furry ones - to the office! What you will be doing? Glance is looking for a Data Scientist who will design and develop recommendation systems on high volume, diverse "big data" sources using advanced mathematical, statistical, querying, and reporting methods. Will use machine learning techniques and statistical analysis to predict outcomes and behaviors. Develop and deploy machine learning models with a focus on quick, reliable experimentation to validate features and hypotheses. Our team values speed and quality in experimentation. Assist in building and maintaining machine learning pipelines, aiding in tasks such as data preparation, model training, and evaluation. Collaborate closely with Designers, UX Researchers, Product Managers, and Software Engineers to contribute to the integration of machine learning solutions into Glances products. Monitor the health and performance of machine learning models, using statistical methods to ensure their effectiveness. Conduct preliminary research and development in machine learning techniques to enhance Glances product capabilities. Additionally, stakeholder management is needed. It will involve being the interface with internal stakeholders such as our Product, Engineering, Data, Infrastructure, and Business teams. You will work in a multi-functional team environment. You will collaborate and benefit from the skills of a diverse group of individuals from teams such as engineering, product, business, campaign management and creative development. We are a company that innovates and demonstrates our thought leadership to the world. We encourage and support all team members to write blogs, commentary and case studies published on the Glance blog. We also support team members across our ML/AI team to speak at industry conferences and represent Glance s work. The experience we need Candidates are expected to have deep expertise and experience in AI/ML, Recommendation Systems and Data Science, particularly at scale. Familiarity with big data processing and cloud computing will be critical to succeed in this environment. In addition to possessing a mathematical aptitude, they need to be competent with data science languages and tools which will enable them to design scalable solutions for our advertising products, implement proof-of-concept, and evaluate them offline and online. They will also need to work with other engineers to take these solutions to live production and drive real business value. Most importantly, we look for a passion to investigate and learn about the world from data, to ask interesting and provocative questions, and be driven to put real models into production that drive real business value. We are open to diverse academic backgrounds, providing an intent to think and problem-solve like a data scientist. Our team includes engineers, mathematicians, computer scientists, physicists, economists and social scientists - a rock-star data scientist can come from any academic field. Qualifications Bachelors/Master s in a quantitative field such as Computer Science, Electrical Engineering, Statistics, Mathematics, Operations Research or Economics, Analytics, Data Science. Or Bachelors with additional experience. PhD a plus. 10+ years of ML industry experience working in Data Science teams, ideally in recommendation systems and personalization at scale. You would have applied algorithms and techniques such as NLP, Reinforcement Learning, Time Series, etc. from Machine Learning, Deep Learning, and Statistics or other domains in solving real world problems and understand the practical issues of using these algorithms especially on large datasets. Comfortable with software programming and statistical platforms such as R, Python etc. Comfortable with the big data ecosystem and Apache Spark. Familiarity with Microsoft Azure, AWS, or Google Cloud/Vertex AI will be a bonus. Comfortable collaborating with cross-functional teams. Familiarity with challenges of the identity-less world, particularly for iOS and Android Excellent technical and business communication skills and should know how to present technical ideas in a simple manner to business counterparts. Possess a high degree of curiosity and ability to rapidly learn new subjects and technology "

Senior analyst with good ML model experience for the Regions Bank account Job Description: Primary Responsibilities for a Risk Data Scientist on the BSA/AML/OFAC Model Development and Monitoring Team: Design and develop transaction monitoring scenarios. Improves segmentation for the scenarios/models using techniques such as clustering. Executes periodic tuning for the threshold parameters of the scenarios through sample collection. Develops post processing models to reduce the number of false positives generated by the scenarios using techniques such as rare event logistic regression and machine learning algorithms. Researches and develops algorithms that incorporates fuzzy logic for OFAC sanction screening and other types of screening processes. Develops post processing models that incorporate Natural Language Processing techniques to reduce the number of false positives. Implementation of models. Develops and executes ongoing monitoring plan to monitor the performance of the models. Documentation of the model development, especially the implementation process. Supports model validation activities. Ad hoc analysis to address requests from business partners. Requirements Bachelor s degree in Statistics, Data Science, Operations Research, Industrial Engineering, Mathematics, or Physics, AND six (6) years related experience. Master s degree in Statistics, Data Science, Operations Research, Industrial Engineering, Mathematics, or Physics, AND four (4) years related experience. OR PhD degree in Statistics, Operations Research, Industrial Engineering, Mathematics, or Physics, AND two (2) years related experience. Skills and Competencies High proficiency with Python, R, SAS, and SQL. Advanced data sourcing and management skills. Enhanced experience with web scraping. Knowledge and experience with CDSW platform. Experience with software development, especially deployment. Experience with classification models. Location: DGS India - Bengaluru - Manyata N1 Block Brand: Merkle Time Type: Full time Contract Type: Permanent

About the job Operation Program Manager Job brief As a Program Manager, youll lead complex, multi-disciplinary projects from start to finish working with stakeholders to plan requirements, manage project schedules, identify risks, and communicate clearly with cross-functional partners across the company. Your projects will often span offices, time zones, and hemispheres. Its your job to coordinate the players and keep them up to date on progress and deadlines. As a Program Manager, you lead complex, multi-disciplinary projects. You will plan requirements with internal customers and usher projects through the entire project lifecycle. This includes managing project schedules, identifying risks and clearly communicating goals to project stakeholders. Responsibilities Drive manufacturing operational readiness in the factory leveraging partner resources as well as ongoing efficiency and improvement across factories from ramp to end-of-line (EOL). Anticipate production and operational risk, communicate and mitigate work with original equipment manufacturers (OEMs) to manage line bring-ups, qualification, material availability, and quality issues. Secure right level of capacity based on forecast and horizons. Work with original equipment manufacturers (OEM) partners to ensure performance goals for Quality, Turn Around Time (TAT), and Throughput (I/O/S) are met or exceeded from ramp to EOL. Collaborate with cross-functional teams and with partners to prepare for production ramp and product transitions. Lead meetings to communicate plans with cross-functional operations and demand planning. Adapt plans based on changing customer requirements. Requirements Bachelors degree in Industrial Engineering or a related technical field, or equivalent practical experience. 5 years of experience in electronics or computer consumer hardware. Experience with manufacturing or operations in Original Equipment Manufacturer (OEM) management and Supply Chain Management. Preferred Masters degree in Industrial Engineering, Supply Chain, Operations Research, Operations Engineering, or other relevant field. Experience in the consumer technology market and facilitation with OEMs and third-party suppliers. Experience in working with global and cross-functional internal and external teams.

Job Summary: PayPals GFP Fraud Risk team is responsible for partnering with global business units to manage a variety of risk of various types, including identity fraud, account takeover, stolen financial fraud, seller fraud, and credit issues. This is an exciting department that plays an important role in contributing PayPals bottom line financial savings, ensuring safe and secure global business growth, and delivering the best customer experience. This open opportunity is within the Risk Business Intelligence (BI) team. The BI team addresses key strategic and critical business initiatives. It partners with leaders to develop business cases for potential investments. The team also provides insights and recommendations to ensure smooth execution with cross-functional partners. Job Description: Your day to day - High proficiency in technical / data-mining skills and working knowledge of dealing with large volumes of data using tools such as SQL, Python in GCP BigQuery/Hadoop environment. Ability to identify trends, patterns, and anomalies in large datasets and strong critical thinking to derive actionable insights from data. Expertise to perform storytelling with data and insights, drive key business decision-making Expertise in A/B testing, hypothesis testing, and statistical significance in supporting initiative and program focus. Experience with business segmentation, customer experience and churn analytics, business growth evaluation. Design, build and maintain dashboards and data visualization through tools like Tableau, Power BI, and Looker. Expertise in predictive modelling, regression, and time-series analysis Ability to translated technical findings into business recommendations and working with business partners to implement. Attention to details and ensuring work outcome accuracy and reliability What do you need to bring- Master s degree in related field and 10+ years related professional work experience (Data Science, Computer Science, Statistics, Business Analytics, Operations Research, etc.) 5+ year of experience as people manager Understanding of Fraud/Credit risk in the financial industry, experience with Payment risk preferred Good time and program management, can handle multiple projects or action items at the same time with challenging deadlines. Well-developed research and analytical skills with good problem solving and lateral thinking ability Working knowledge of SQL, Python, or other programming languages. Experience with GCP Big Query, Hadoop environment Excellent verbal and written communication skills with the ability to articulate concepts and ideas to diverse audiences. Preferred Qualification: Subsidiary: PayPal Travel Percent: 0 For the majority of employees, PayPals balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com . Who We Are: Click Here to learn more about our culture and community. Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at talentaccommodations@paypal.com . Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community . We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don t hesitate to apply.

Job Title: Data Scientist Reports to: Lead – Data Science About upl: UPL is focused on emerging as a premier global provider of total crop solutions designed to secure the world’s long-term food supply. Winning farmers hearts across the globe, while leading the way with innovative products and services that make agriculture sustainable , UPL is the fastest growing company in the industry. UPL has a rich history of 50+ years with presence in 120+ countries . Based on the recognition that humankind is one community, UPL’s overarching commitment is to improve areas of its presence, workplace, and customer engagement . Our purpose is ‘ OpenAg’. An Open agriculture network that feeds sustainable growth for all. No limits, no borders . In order to create sustainable food chain, UPL is now working to build a future-ready, analytics-driven organization that will be even more efficient, more innovative, and more agile. We are setting up “Digital and Analytics” CoE to work on some disruptive projects that will have an impact that matters for the planet. It will help us reimagine our business to ensure the best outcomes for growers, consumers, employees, and our planet. Work with us to get exposure to cutting-edge solutions in digital & advanced analytics, mentorship from senior leaders & domain experts, and access to a great work environment . JOb Responsibilities: The Data Scientists will leverage expertise in advanced statistical and modelling techniques to design, prototype, and build the next-generation analytics engines and services. They will work closely with the analytics teams and business teams to derive actionable insights, helping the organization in achieving its’ strategic goals. Their work will involve high levels of interaction with the integrated analytics team, including data engineers, translators, and more senior data scientists. Has expertise in implementing complex statistical analyses for data processing, exploration, model building and implementation Lead teams of 2-3 associate data scientists in the use case building and delivery process Can communicate complex technical concepts to both technical and non-technical audience Plays a key role in driving ideation around the modelling process and developing models. Can conceptualize and drive re-iteration and fine tuning of models Contribute to knowledge building and sharing by researching best practices, documenting solutions, and continuously iterating on new ways to solve problems. Mentors junior team members to do the same REQUIRED EDUCATION AND EXPERIENCE: Master’s degree in Computer Science, Statistics, Math, Operations Research, Economics, or a related field Advanced level programming skills in at least 1 coding language (R/Python/Scala) Practical experience of developing advanced statistical and machine learning models At least 2 years of relevant analytics experience Experience in using large database systems preferred Has developed niche expertise in at least one functional domain REQUIRED SKILLS: Ability to work well in agile environments in diverse teams with multiple stakeholders Experience of leading small teams Able to problem solve complex problems and break them down into simpler parts Ability to effectively communicate complex analytical and technical content High energy and passionate individual who can work closely with other team members Strong entrepreneurial drive to test new out of the box techniques Able to prioritize workstreams and adopt an agile approach Willing to adopt an iterative approach; experimental mindset to drive innovation LOCATION: Bangalore What’s in it for you ? Disruptive projects : Work on ‘ breakthrough’ digital-and-analytics projects to enable UPL’s vision of building a future ready organization. It involves deploy ing solutions to help us increase our sales, sustain our profitability, improve our speed to market, supercharge our R&D efforts, and support the way we work internally. Help us ensure we have access to the best business insights that our data analysis can offer us. Cross functional leadership exposure : Work directly under guidance of functional leadership at UPL, on the most critical business problems for the organization (and the industry) today. It will give you exposure to a large cross-functional team (e.g.: spanning manufacturing, procurement, commercial, quality, IT/OT experts), allowing multi-functional learning in D&A deployment Environment fostering professional and personal development : Strengthen professional learning in a highly impact-oriented and meritocratic environment that is focused on delivering disproportionate business value through innovative solutions. It will be supported by on-the-job coaching from experienced domain experts, and continuous feedback from a highly motivated and capable set of peers. Comprehensive training programs for continuous development through UPL's D&A academy will help in accelerating growth opportunities. Come join us in this transformational journey! Let’s collectively Change the game with Digital & Analytics!

Job Title: Data Scientist About upl: UPL is focused on emerging as a premier global provider of total crop solutions designed to secure the world’s long-term food supply. Winning farmers hearts across the globe, while leading the way with innovative products and services that make agriculture sustainable , UPL is the fastest growing company in the industry. UPL has a rich history of 50+ years with presence in 120+ countries . Based on the recognition that humankind is one community, UPL’s overarching commitment is to improve areas of its presence, workplace, and customer engagement . Our purpose is ‘ OpenAg’. An Open agriculture network that feeds sustainable growth for all. No limits, no borders . In order to create sustainable food chain, UPL is now working to build a future-ready, analytics-driven organization that will be even more efficient, more innovative, and more agile. We are setting up “Digital and Analytics” CoE to work on some disruptive projects that will have an impact that matters for the planet. It will help us reimagine our business to ensure the best outcomes for growers, consumers, employees, and our planet. Work with us to get exposure to cutting-edge solutions in digital & advanced analytics, mentorship from senior leaders & domain experts, and access to a great work environment . JOb Responsibilities: The Data Scientists will leverage expertise in advanced statistical and modelling techniques to design, prototype, and build the next-generation analytics engines and services. They will work closely with the analytics teams and business teams to derive actionable insights, helping the organization in achieving its’ strategic goals. Their work will involve high levels of interaction with the integrated analytics team, including data engineers, translators, and more senior data scientists. Has expertise in implementing complex statistical analyses for data processing, exploration, model building and implementation Lead teams of 2-3 associate data scientists in the use case building and delivery process Can communicate complex technical concepts to both technical and non-technical audience Plays a key role in driving ideation around the modelling process and developing models. Can conceptualize and drive re-iteration and fine tuning of models Contribute to knowledge building and sharing by researching best practices, documenting solutions, and continuously iterating on new ways to solve problems. Mentors junior team members to do the same REQUIRED EDUCATION AND EXPERIENCE: Master’s degree in Computer Science, Statistics, Math, Operations Research, Economics, or a related field Advanced level programming skills in at least 1 coding language (R/Python/Scala) Practical experience of developing advanced statistical and machine learning models At least 2 years of relevant analytics experience Experience in using large database systems preferred Has developed niche expertise in at least one functional domain REQUIRED SKILLS: Ability to work well in agile environments in diverse teams with multiple stakeholders Experience of leading small teams Able to problem solve complex problems and break them down into simpler parts Ability to effectively communicate complex analytical and technical content High energy and passionate individual who can work closely with other team members Strong entrepreneurial drive to test new out of the box techniques Able to prioritize workstreams and adopt an agile approach Willing to adopt an iterative approach; experimental mindset to drive innovation LOCATION: Bangalore What’s in it for you ? Disruptive projects : Work on ‘ breakthrough’ digital-and-analytics projects to enable UPL’s vision of building a future ready organization. It involves deploy ing solutions to help us increase our sales, sustain our profitability, improve our speed to market, supercharge our R&D efforts, and support the way we work internally. Help us ensure we have access to the best business insights that our data analysis can offer us. Cross functional leadership exposure : Work directly under guidance of functional leadership at UPL, on the most critical business problems for the organization (and the industry) today. It will give you exposure to a large cross-functional team (e.g.: spanning manufacturing, procurement, commercial, quality, IT/OT experts), allowing multi-functional learning in D&A deployment Environment fostering professional and personal development : Strengthen professional learning in a highly impact-oriented and meritocratic environment that is focused on delivering disproportionate business value through innovative solutions. It will be supported by on-the-job coaching from experienced domain experts, and continuous feedback from a highly motivated and capable set of peers. Comprehensive training programs for continuous development through UPL's D&A academy will help in accelerating growth opportunities. Come join us in this transformational journey! Let’s collectively Change the game with Digital & Analytics!

Are we growing? Absolutely and Globally. In 2021 we grew our teams by almost 50% and continue to grow even more in 2022. Are we recognized as a company you are supported by for your career and growth, and a great place to work? Definitely. Evolent Health International (Pune, India) has been certified as Great Places to Work in 2021. In 2020 and 2021 Evolent in the U.S. was both named Best Company for Women to Advance list by Parity.org and earned a perfect score on the Human Rights Campaign (HRC) Foundation s Corporate Equality Index (CEI). This index is the nations foremost benchmarking survey and report measuring corporate policies and practices related to LGBTQ+ workplace equality. What You ll Be Doing: Position summary This role would support SAS reporting needs for Analytics team. This role would be crucial in terms of understanding the reporting requirements and delivering with high quality independently with minimal support. This role is an ideal fit for someone who enjoys working in a fast-paced, hands-on, client-facing environment with a heavy focus on cross functional operations and process improvement. This role would require agility in terms of handling new and multiple requests in efficient way and report to team on regular basis. Someone who loves to get into healthcare domain or has healthcare knowledge is ideal for this position. Roles & Responsibility -Own and Deliver standard reporting suits to internal and external stakeholders by thoroughly performing quality checks -Supporting ad-hoc reporting and analytical needs of internal and external clients. Includes but not limited to building new reports and dashboards, automating/ optimizing existing reports or processes - Clearly communicating insights or issues came across while delivering the reports and documenting them in standard templates -Develop the knowledge on US Healthcare domain and have consultant approach for providing solution to internal and external stakeholders -Actively participate in regular standup calls with onshore and offshore leads. And with clients on need basis -Work in collaboration with internal/external team members on several analytical/optimization/new implementation projects - Work on JIRA ticketing system and update status of tickets and necessary labels regularly. Comment timely to gather requirements and or informing issues. - Mentor/Train juniors and peer review the work of junior members of the team - Communicate issues or improvements to leadership team and work closely with leads on action items required for improvements - Manage multiple projects with varying deadlines of internal and external stakeholders - Partner with stakeholders to find solution to their business problems with consultant approach Essential functions The Experience You Will Need (Required) Must have a bachelor s degree preferably with a quantitative major (e.g. actuarial, statistics, operations research, engineering, mathematics, economics) or healthcare (health administration, epidemiology, public health, biology) 5-7 years of professional experience including recent work with SAS, SQL, or graduate school level experience in the same focus areas laid out above Must have experience with Microsoft Excel (advanced), Microsoft Access (advanced) or other programming language (preferably SAS) and VBA. Experience working with US healthcare claims data or supporting health plan back office functions strongly preferred Independent thinker with the ability to multitask and manage multiple projects with varying timelines Willingness to develop and explore new approaches, adapt, and execute quickly and be comfortable with ambiguous project outlines Collaborative working style with the ability to work across different organizations and personalities Exceptionally strong analytical abilities, with track record of identifying insights from quantitative and qualitative data Excellent communication skills, demonstrates professionalism and excels at distilling complex data into digestible messages for the client Finishing Touches (Good to have) Experience with Power BI or other BI preferred Growth mindset with a desire to expand SAS/SQL technical skills, health care knowledge and mastering new BI applications for reporting Mandatory Skills SAS and SQL Skills Good Communication and Team Player Strong skills, especially: Word, Excel, Power Point, ticketing systems and SharePoint ETL, Systems knowledge Manage and Execute Projects Critical thinking Experience in Code optimization and debugging Other Good to have skills BI Tool - MSTR or any other BI tool Prior US - Healthcare Experience preferably on claims data Mandatory Requirements: Employees must have a high-speed broadband internet connection with a minimum speed of 50 Mbps and the ability to set up a wired connection to their home network to ensure effective remote work. These requirements may be updated as needed by the business.