299 Operations Research Jobs

As an Individual Contributor at Adobe, your primary responsibility will be to prioritize and lead deep dives into Adobe Creative Cloud data in order to uncover new product and business opportunities. This will involve utilizing machine learning techniques to reveal insights that can drive strategic decision-making. You will collaborate with product development teams and leadership to formulate business strategies and product roadmaps based on your analytical findings. Designing, implementing, and analyzing A/B experiments to provide impactful insights will be a key aspect of your role. Additionally, you will be instrumental in inspiring the data science and product teams to leverage experimentation and product insights effectively. Working closely with development teams on product instrumentation, product flow, and data capture will also be part of your responsibilities. To excel in this role, you should possess expertise in SQL and proficiency in at least one data science tool such as Python or R. Advanced skills in data visualization tools like Power BI, Tableau, or Looker will be essential. Experience in using machine learning models to extract insights and influence product strategy is highly desirable. With a minimum of 4 years of hands-on technical experience in a data analytics or data science role, including at least 2 years in behavioral data science for multi-platform SaaS products, you will have a strong foundation for success. Your ability to explore large datasets, derive meaningful insights, and translate them into tangible results will be critical. Creative thinking, problem-solving skills, and a knack for effective communication of insights to product and business leaders will set you apart. Ideally, you should hold a degree in a quantitative field such as statistics, economics, applied mathematics, operations research, or engineering, or possess equivalent work experience. Within Adobe, opportunities for creativity, curiosity, and continuous learning abound as key components of your career growth journey. Embracing new challenges and seizing internal opportunities will be encouraged and supported. To kickstart your journey: 1. Update your Resume/CV and Workday profile with your Adobe experiences and volunteer work. 2. Explore the Internal Mobility page on Inside Adobe, set up job alerts for roles of interest, and familiarize yourself with the process. 3. Review interview preparation tips to enhance your readiness for upcoming opportunities. Upon applying for a role via Workday, the Talent Team will contact you within 2 weeks. If you progress to the official interview stage with the hiring team, it is advisable to inform your manager to facilitate your career advancement. At Adobe, you will thrive in an exceptional work environment recognized globally. Our unique Check-In approach fosters continual feedback and growth, reinforcing a collaborative culture. If you seek to make a meaningful impact, Adobe is the ideal place for your professional journey. Explore firsthand insights from our employees on the Adobe Life blog and discover the valuable benefits we offer to support your growth. For individuals with disabilities or special needs requiring accommodations during the application process, please reach out to accommodations@adobe.com for assistance.,

Are you passionate about harnessing the power of artificial intelligence to transform decision-making under uncertainty Do you aspire to develop innovative algorithms that can offer robust and reliable recommendations for critical real-world problems If your academic ambitions lie at the intersection of symbolic AI, optimization, and statistical reasoning, this PhD position at TU Delft could be your gateway to cutting-edge research and impactful career opportunities. Strong and confident decision-making is at the core of many societal and engineering challenges today. Yet, the complexity and uncertainty inherent in real-world systems often make it difficult to ascertain which variables truly influence outcomes. This PhD project invites you to leverage advanced combinatorial and algorithmic methods to identify these critical parameters, thus enabling more robust, data-efficient, and reliable decision-making processes. Delft University of Technology (TU Delft) is one of Europe's premier technical universities, renowned for its pioneering research, high-impact innovation, and vibrant academic community. Located in the historic city of Delft, the university boasts a strong tradition in engineering, science, and design, with a global reputation for excellence. TU Delft has been at the forefront of groundbreaking advancements, from the world-famous Dutch waterworks to state-of-the-art biotech and digital technologies. As a PhD candidate at TU Delft, you will join a diverse and international research environment, collaborating with leading experts and contributing to solutions for some of society's most pressing challenges. The focus of this PhD position is on Symbolic AI and Reasoning Under Uncertainty, with a particular emphasis on sensitivity analysis for decision-making models. In contemporary applications, algorithms generate recommendations based on complex models with numerous input parameters. However, determining which of these inputs genuinely drive the outcomes is crucial for resource allocation, contingency planning, and ensuring the robustness of decisions. Traditional sensitivity analysis often relies on computationally intensive simulations, which may overlook significant variables. This project proposes a paradigm shift: employing logic-based and structural methods to formally identify critical parameters. By exploiting the structure of logic problems, the research aims to deliver formal guarantees on robustness, reduce computational costs, and improve the reliability of decision-support systems. This approach holds immense promise for fields such as engineering, policy-making, and societal infrastructure, where robust and explainable AI is essential. As a PhD candidate, you will be part of the Algorithmics section within the Software Technology (ST) department at TU Delft, collaborating closely with the Statistics section of the Delft Institute of Applied Mathematics (DIAM). The project is supervised by a distinguished team: dr. ir. Sicco Verwer (promotor), dr. Fabian Mies, and dr. Anna Latour (co-promotores). Your research will build upon and expand knowledge in modeling and solving paradigms such as Boolean Satisfiability, Constraint Programming, and Mixed-Integer (Linear) Programming. You will also develop methods for reasoning about discrete probability distributions, sampling complex spaces, and statistical analysis. The role involves collaboration with other researchers and software engineers to create practical tools for both academic and societal stakeholders. You will disseminate your findings through publications and presentations at leading conferences and journals, providing excellent opportunities for international networking and professional growth. The Algorithmics section is a dynamic, diverse environment where PhD and postdoc researchers work together on theoretical and algorithmic contributions to intelligent decision-making. The group addresses challenges including scalability, model learning for planning and verification, and the integration of stakeholder preferences into algorithmic processes. TU Delft's interdisciplinary ecosystem further enhances your research experience, with opportunities to engage in cross-faculty initiatives addressing topics such as climate change, energy transition, and artificial intelligence. Applicants should possess a Master's degree in Computer Science, Operations Research, or a related field (required by the Graduate School of TU Delft), proficiency in the English language, demonstrable knowledge of reasoning paradigms such as Boolean Satisfiability, Constraint Programming, or Mixed Integer (Linear) Programming, programming skills in languages such as Java, Python, or C++, solid understanding of statistics and probability theory, excellent critical and analytical thinking skills, a proven record of and interest in further developing research skills, including self-organization, academic writing, and a critical attitude, strong enthusiasm for state-of-the-art algorithmic and optimization techniques, especially their application to decision-making, affinity for teaching and mentoring students, and ability to work effectively in a team and take initiative. This position is ideal for candidates who are passionate about symbolic AI, optimization, statistical reasoning, and who are eager to contribute to the advancement of robust decision-making methodologies. If you are driven to make a meaningful impact on decision-making methodologies and thrive in a collaborative, interdisciplinary environment, we encourage you to apply for this PhD position at TU Delft.,

As an Optimization Specialist, you will be responsible for building and scaling mathematical models and process optimization. Your role will involve designing and implementing optimization models such as LP, MIP, and MILP for real-world scheduling, routing, and planning scenarios. Additionally, you will be expected to construct simulation models to evaluate performance under uncertainty, collaborate with cross-functional teams to refine problem definitions, and translate them into quantitative models. You will work closely with data scientists, software engineers, and business analysts to drive predictive optimization workflows using AI/ML algorithms for forecasting, clustering, and classification. Conducting what-if analyses and sensitivity testing to support decision-making will be a crucial part of your responsibilities. Furthermore, you will support research and pilot initiatives involving Quantum-Inspired Optimization (QUBO, hybrid models) and present findings and model performance to stakeholders through clear and concise visualizations and documentation. To excel in this role, you must possess a strong knowledge of Linear Programming (LP), Mixed Integer Programming (MIP/MILP), Constraint Programming, and have experience formulating and solving large-scale combinatorial problems. Hands-on experience with Optimization libraries like Pyomo, PuLP, and solvers such as CPLEX, Gurobi, GLPK, or CBC will be beneficial. Proficiency in programming languages like Python, R, or MATLAB is essential, along with simulation expertise in tools like SimPy, AnyLogic, Arena, or equivalent for discrete-event or agent-based simulation. Your educational background should include a PhD in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, or a related field. Additionally, applied machine learning knowledge including forecasting models, clustering, and model evaluation metrics (e.g., MAPE, RMSE) will be advantageous. Strong communication and documentation skills are necessary to effectively present models and insights to non-technical audiences.,

As a qualified candidate for this role, you must hold a degree in Mechanical Engineering, Industrial Engineering, or Production & Manufacturing Engineering with an excellent academic record. Additionally, a minimum of 3-5 years of experience in the manufacturing industry is required. Your skills should include proficiency with Simulation Software such as Anylogic or Siemens Tecnomatix Plant Simulation, with a minimum of 2+ years of direct modeling experience. Proficiency in Excel and PowerPoint is also essential for this role. In terms of technical background, you must have direct experience in building and analyzing DES Models using Tecnomatix or Anylogic. Experience in value stream analysis, facilities layout, production system design, manufacturing process design, and systems design thinking is crucial. You should be comfortable building models, writing scripts to run special logic, and translating process logic into simulation models. Analytical skills are key for this role, as you will be required to evaluate data output from simulation models and provide recommendations for clients. Applying mathematical operations to theoretical and practical manufacturing and industrial situations is part of the job scope. Effective verbal and written communication skills are necessary for collaborating with client team members, understanding modeling requirements, and conveying recommendations based on the problem statement. Knowledge of Layout Analysis, Operations research, Plant optimization, Discrete Event simulation, and Methods Engineering is advantageous. Experience with Monte Carlo analysis and other parametric experiments to evaluate system changes is desired. Strong analytical skills are essential for translating findings and recommendations into impactful presentations for various stakeholders.,

P3. Operations Research Engineer 8+ years of professional experience in operations research, Bachelor s or master s degree in operations research, Applied Mathematics, Computer Science, Engineering, or a related field. Experience with heuristic methods and algorithm development 8+ Years of relevant experience in Machine learning & Deep learning, with GenAI experience Knowledge of Mathematical and statistical concepts, optimization, data structures Experience in leading teams and managing the end-to-end deliverables. Leadership abilities to guide and mentor junior team members. Design and implement scalable and reliable models for evaluation and deployment Proficiency in Python, & other OR tools like Ciplex etc Strong analytical skills & communication skills. Ability to interpret complex data sets. Develop a strong understanding of business and operational processes within CMA CGM Supply chain. Develop and deploy modules to run simulations for testing and validating multiple scenarios to evaluate the impact of various fulfillment strategies. Adopt modular architecture and good software development/engineering practices to enhance the overall product performance and guide other team members. Produce clean, efficient code based on specifications. Enhance and maintain simulation environment to enable testing/deploying new features for running custom, user defined scenarios through the simulator. Coordinate the analysis, troubleshooting and resolution of issues in the models and software.

Job Description Summary The role entails advanced software development for Power Systems Applications, with a focus on delivering specific functionalities to meet corporate project and product objectives. Responsibilities include collaborating with team working with Electric Utilities or Independent System Operators (ISOs) and Transmission and Distribution System Operators to develop functional software specifications, followed by designing, coding, testing, integration, application tuning, and delivery Job Description Roles and Responsibilities As a senior member of the Software Center of Excellence, exemplifying high-quality development, testing, and delivery practices. Responsible for enhancing, evolving, and supporting high-availability Electricity Energy Market Management System (MMS). Responsible for development, testing, integration, and tuning of advanced Power Systems Application software to fulfill project and product commitments. Develop and evolve software in a dynamic and agile environment using the latest technologies and infrastructure. Provide domain knowledge and/or technical leadership to a team of electricity markets application software engineers. Support in providing budget estimates for new project tasks to project leads and managers. Collaborate with customers throughout the project lifecycle to ensure software quality and functionality meet standards and requirements. Interact with Product Development Teams, Customers, Solution Providers, and cross-functional teams as needed. Apply SDLC principles and methodologies like Lean/Agile/XP, CI, software and product security, scalability, and testing techniques. Provide maintenance of power systems application functionality, including code fixes, creating tools for model conversion, documentation, and user interfaces. Support marketing efforts for proposals and demonstrations to potential customers. Basic Qualification Masters degree in Electrical Power Systems with thesis or related work in power systems 5 to 8 years of 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. Desired Characteristics Continuous improvement mindset; drives change initiatives and process improvements Highly organized and efficient; adept at prioritizing and executing tasks. Experience in the power systems domain. Proficiency in testing and test automation. Strong knowledge of source control management, particularly GitHub. Demonstrated ability to learn new development practices, languages, and tools. Self-motivated; able to synthesize information from diverse sources. Continuously measures the completion rate of personal deliverables and compares them to the scheduled commitments. Transparent in problem-solving approaches and options; determines fair outcomes with shared trade-offs. Capable of defining requirements and collaborating on solutions using technical expertise and a network of experts. Effective communication style for engaging with customers and cross-functional teams; utilizes product knowledge to mitigate risks and drive outcomes. Strong verbal, written, and interpersonal communication skills; able to produce professional and technical reports and conduct presentations. Innovates and integrates new processes or technologies to add significant value; advises on change cost versus benefits and learns new solutions to address complex problems Additional Information Relocation Assistance Provided: Yes Show more Show less

Job Description Scientist, Decision Sciences- Pune India Are you ready to join a growing Decision Sciences team in a global company that customers depend on to prevent fraudulent transactionsDo you want to work in a role that has a direct impact on our customer experienceJoin Western Union as Scientist, Decision Sciences. Western Union powers your pursuit. The Decision Scientist will be part of the Decision Sciences team responsible for managing fraud losses while optimizing revenue opportunities on online Western Union transactions. In this role you will use your analytical skills to develop and maintain a suite of risk models and rules to ensure our customers, as well as Western Union, are protected against fraud. Role Responsibilities Develop real time and batch risk models to screen online transactions and stop fraudulent ones Document and communicate model results and insights internally Support Senior/Staff Risk Scientists with ad-hoc analysis in response to internal and external requests Continuously track and evaluate the effectiveness of risk models and rules Analyze online transaction activity to identify loss reduction opportunities and devise actionable plans to exploit such opportunities Profile customer behavior to identify opportunities to enhance model/rule performance Role Requirements Preferably Masters degree or Graduate degree in quantitative related field (Statistics, Math, Operations Research, MS, M-tech, B-tech etc) required with proven track record in using advanced quantitative and statistical technique. Minimum bachelor s degree in quantitative field required. 3+ years of relevant experience. Data analytics related Master thesis or certified coursework projects will add additional value. Strong problem solving and analytical skills Strong communication skills to convey fraud insight Ability to analyze problems and produce justification to enhance fraud decisions. SQL and at-least one of the Python/R programming experience and aptitude to learn on the job. Working knowledge of developing predictive models like logistic regression, decision tree etc and machine learning techniques Intermediate knowledge of Microsoft Excel/Power BI/PPT Exposure to cloud systems like AWS Sagemaker/ Dataiku is preferred We make financial services accessible to humans everywhere. Join us for what s next. Just as we help our global customers prosper, we support our employees in achieving their professional aspirations. You ll have plenty of opportunities to learn new skills and build a career, as well as receive a great compensation package. If you re ready to help drive the future of financial services, it s time for Western Union. Learn more about our purpose and people at https: / / careers.westernunion.com / . Benefits You will also have access to short-term incentives, multiple health insurance options, accident and life insurance, and access to best-in-class development platforms, to name a few ( https: / / careers.westernunion.com / global-benefits/ ). Please see the location-specific benefits below and note that your Recruiter may share additional role-specific benefits during your interview process or in an offer of employment. Your India specific benefits include: Employees Provident Fund [EPF] Gratuity Payment Public holidays Annual Leave, Sick leave, Compensatory leave, and Maternity / Paternity leave Annual Health Check up Hospitalization Insurance Coverage (Mediclaim) Group Life Insurance, Group Personal Accident Insurance Coverage, Business Travel Insurance Cab Facility Relocation Benefit Western Union values in-person collaboration, learning, and ideation whenever possible. We believe this creates value through common ways of working and supports the execution of enterprise objectives which will ultimately help us achieve our strategic goals. By connecting face-to-face, we are better able to learn from our peers, problem-solve together, and innovate. Our Hybrid Work Model categorizes each role into one of three categories. Western Union has determined the category of this role to be Hybrid. This is defined as a flexible working arrangement that enables employees to divide their time between working from home and working from an office location. The expectation is to work from the office a minimum of three days a week. We are passionate about diversity. Our commitment is to provide an inclusive culture that celebrates the unique backgrounds and perspectives of our global teams while reflecting the communities we serve. We do not discriminate based on race, color, national origin, religion, political affiliation, sex (including pregnancy), sexual orientation, gender identity, age, disability, marital status, or veteran status. The company will provide accommodation to applicants, including those with disabilities, during the recruitment process, following applicable laws. #LI-HR1 #LI-Hybrid Estimated Job Posting End Date: 08-01-2025 This application window is a good-faith estimate of the time that this posting will remain open. This posting will be promptly updated if the deadline is extended or the role is filled.

Senior Scientist, Decision Sciences- Pune India Are you ready to join a growing Decision Sciences team in a global company that customers depend on to prevent fraudulent transactionsDo you want to work in a role that has a direct impact on our customer experienceJoin Western Union as Senior Scientist, Decision Sciences. Western Union powers your pursuit. The Decision Scientist will be part of the Decision Sciences team responsible for managing fraud losses while optimizing revenue opportunities on online Western Union transactions. In this role you will use your analytical skills to develop and maintain a suite of risk models and rules to ensure our customers, as well as Western Union, are protected against fraud. Role Responsibilities Develop real time and batch risk models to screen online transactions and stop fraudulent ones Document and communicate model results and insights internally. Continuously track and evaluate the effectiveness of risk models and rules Analyze online transaction activity to identify loss reduction opportunities and devise actionable plans to exploit such opportunities Profile customer behavior to identify opportunities to enhance model/rule performance Role Requirements Preferably Masters degree or Graduate degree in quantitative related field (Statistics, Math, Operations Research, MS, M-tech, B-tech etc) required with proven track record in using advanced quantitative and statistical technique. Minimum bachelor s degree in quantitative field required. 5+ years of relevant experience. Data analytics related Master thesis or certified coursework projects will add additional value. Strong problem solving and analytical skills Strong communication skills to convey fraud insight Ability to analyze problems and produce justification to enhance fraud decisions. SQL and at-least one of the Python/R programming experience and aptitude to learn on the job. Working knowledge of developing predictive models like logistic regression, decision tree etc and machine learning techniques Intermediate knowledge of Microsoft Excel/Power BI/PPT Exposure to cloud systems like AWS Sagemaker/ Dataiku is preferred We make financial services accessible to humans everywhere. Join us for what s next. Just as we help our global customers prosper, we support our employees in achieving their professional aspirations. You ll have plenty of opportunities to learn new skills and build a career, as well as receive a great compensation package. If you re ready to help drive the future of financial services, it s time for Western Union. Learn more about our purpose and people at https: / / careers.westernunion.com / . Benefits You will also have access to short-term incentives, multiple health insurance options, accident and life insurance, and access to best-in-class development platforms, to name a few ( https: / / careers.westernunion.com / global-benefits/ ). Please see the location-specific benefits below and note that your Recruiter may share additional role-specific benefits during your interview process or in an offer of employment. Your India specific benefits include: Employees Provident Fund [EPF] Gratuity Payment Public holidays Annual Leave, Sick leave, Compensatory leave, and Maternity / Paternity leave Annual Health Check up Hospitalization Insurance Coverage (Mediclaim) Group Life Insurance, Group Personal Accident Insurance Coverage, Business Travel Insurance Cab Facility Relocation Benefit Western Union values in-person collaboration, learning, and ideation whenever possible. We believe this creates value through common ways of working and supports the execution of enterprise objectives which will ultimately help us achieve our strategic goals. By connecting face-to-face, we are better able to learn from our peers, problem-solve together, and innovate. Our Hybrid Work Model categorizes each role into one of three categories. Western Union has determined the category of this role to be Hybrid. This is defined as a flexible working arrangement that enables employees to divide their time between working from home and working from an office location. The expectation is to work from the office a minimum of three days a week. We are passionate about diversity. Our commitment is to provide an inclusive culture that celebrates the unique backgrounds and perspectives of our global teams while reflecting the communities we serve. We do not discriminate based on race, color, national origin, religion, political affiliation, sex (including pregnancy), sexual orientation, gender identity, age, disability, marital status, or veteran status. The company will provide accommodation to applicants, including those with disabilities, during the recruitment process, following applicable laws. #LI-HR1 #LI-Hybrid Estimated Job Posting End Date: 08-01-2025 This application window is a good-faith estimate of the time that this posting will remain open. This posting will be promptly updated if the deadline is extended or the role is filled.

What Youll Do Leverage quantitative skills to derive answers to clients' ongoing business analytics and reporting questions. Work collaboratively with clients to ascertain the clients specific business information needs. Execute a specific plan for analyzing the data necessary to secure solutions to clients particular business information need(s ). Discuss and determine with clients which specific data may be best utilized in order to perform the necessary analysis. Evaluate, assess and analyze the data necessary to provide solutions to the clients particular business information needs. Communicate the data results to the client, with an emphasis on answering the business question as opposed to the analytical and reporting processes used. Gain immediate familiarity with clients internal processes. Develop expertise within a client analytics area. Be available for clients during regular working hours. What Youll Bring MBA with a bachelor's (and often graduate) degree in a quantitative, analytical discipline, such as Operations Research, Applied Mathematics, Management Science, Data Science, Statistics, Econometrics, or Engineering. Alternately, candidates may possess a PhD in marketing, economics, decision sciences or related field with a business application. In lieu of an MBA or PhD, 5-8 years of relevant work experience may substitute.? Up to 3 years of post-MBA relevant work experience, and 3-5 years of pre-MBA relevant work experience, with evidence of strong analytic work (including use of advanced modeling techniques and tools such as R, SAS, Tableau, or VBA High motivation, good work ethic, maturity and personal initiative?

As an Associate Manager in the Supply Chain Data Science team, you will be responsible for leveraging your deep expertise in data science and supply chain analytics to engage with global Supply Chain Leaders. Your role will involve defining analytical solutions that optimize processes, provide predictive insights, and facilitate strategic decision-making within the supply chain ecosystem. To excel in this role, you should possess a Master's degree with at least 6 years of experience in Supply Chain Analytics/Data Science, or a Graduate degree with 7+ years of relevant experience. You will be based in Bangalore, India, with flexibility to work from offices in Chennai, Pune, NCR, or Kolkata based on your preference. Key responsibilities include leading client engagements, mentoring teams, and designing advanced analytics solutions for various supply chain functions such as demand forecasting, inventory optimization, and procurement analytics. You will also be involved in developing sustainable analytical tools, overseeing technical solution architecture, and driving adoption of modern data architectures. The ideal candidate will have a deep understanding of supply chain functions, strong programming skills in Python/R, proficiency in SQL for data querying, and experience with machine learning algorithms and visualization tools such as Tableau. Additionally, leadership, consulting, and technical competencies are essential for success in this role. At Tredence, you will have the opportunity to work in a highly impactful role, take ownership of projects, and grow both thought leadership and operational leadership capabilities. You will collaborate with industry-leading talent, receive substantial performance-based compensation, and access cutting-edge analytics tools and methodologies. If you are passionate about leveraging data to drive business value and possess a growth mindset along with strong analytical, technical, and leadership skills, we welcome you to join us at Tredence on our innovative journey.,

At American Express, our culture is built on a 175-year history of innovation, shared values, and Leadership Behaviors, with an unwavering commitment to back our customers, communities, and colleagues. As a member of Team Amex, you will benefit from comprehensive support for your holistic well-being and numerous opportunities to acquire new skills, develop leadership qualities, and advance in your career. Your voice and ideas hold significance here, as your contributions make a meaningful impact towards shaping the future of American Express. In this role, you will play a pivotal part in managing credit risk case setup, communications, and FRP strategies for the Consumer and SBS portfolio in International markets. Your responsibilities will include designing and overseeing E2E Credit Notification strategies, devising optimal No-further-charge strategies, and collaborating closely with various departments such as CCOs, Decision Science, Credit Operations, Compliance, and Finance to ensure favorable business outcomes. Minimum Qualifications for this role include demonstrated experience in driving and implementing credit risk management strategies, possessing strong analytical acumen, problem-solving skills, and a rigorous approach to decision-making. Intellectual curiosity and learning agility will be essential to explore and evaluate new ideas effectively. Preferred Qualifications would include an advanced degree in statistics, econometrics, operations research, mathematics, computer science, engineering, or a related quantitative field of study. American Express provides benefits that prioritize your holistic well-being to help you perform at your best. These benefits include competitive base salaries, bonus incentives, support for financial well-being and retirement, comprehensive medical, dental, vision, life insurance, and disability benefits, flexible working models, generous paid parental leave policies, access to global on-site wellness centers, counseling support through the Healthy Minds program, and career development and training opportunities. Please note that an offer of employment with American Express is subject to the successful completion of a background verification check, as per applicable laws and regulations.,

About Us What s in it for YOU SBI Card truly lives by the work-life balance philosophy. We offer a robust wellness and wellbeing program to support mental and physical health of our employees Admirable work deserves to be rewarded. We have a well curated bouquet of rewards and recognition program for the employees Dynamic, Inclusive and Diverse team culture Gender Neutral Policy Inclusive Health Benefits for all - Medical Insurance, Personal Accidental, Group Term Life Insurance and Annual Health Checkup, Dental and OPD benefits Commitment to the overall development of an employee through comprehensive learning & development framework Role Purpose The role is responsible for creating and owning the Model Risk management policy for the company. Additionally, this role will develop Fraud insights to enable the Risk function to become the Second line of defence for Fraud management. Role Accountability Create & own model risk management policy Ensure External validation for Models as per policy Develop ML model explanability framework/ model performance tracking capabilities Manage the model governance processes as per defined the policy Review models across the org and provide inputs and highlight risks prior to model approval Publish Model monitoring MIS & Alerts Establish new model approval thresholds Review new model approval request and recommed for approval/additional information Develop Fraud insights and reporting enabling Risk function to function as Second line of defence for Fraud Develop and refresh stress testing models and publish associated MIS Develop challenger and models, target definitions, early performance indicators Handle and address queries from Auditors on Model governance Measures of Success Timely and accurate generation of all MIS & Reports Timely review of model approval request Create and maintain model inventory for the organization Timely and accurate updation of process documentation Process Adherence as per MOU Fraud MIS, KPIs, and calendar Technical Skills / Experience / Certifications Good knowledge of SAS, MS Office, BI tools (SAS VA / Tablueau / Qlikview) etc. Knowledge of R / Python prefered Ability to understand all credit card related data elements Strong understanding of modelling concepts and model monitoring as a line of defense Ability to work in a distributed data storage environment Competencies critical to the role Teamwork and Collaboration Analytical ability Problem solving skills Qualification Graduation / Master s degree in computer applications, economics, statistics, operations research, mathematics, engineering, business, or related field with a strong quantitative emphasis Preferred Industry BFSI

Your Future Evolves Here Evolent Health has a bold mission to change the health of the nation by changing the way health care is delivered. Our pursuit of this mission is the driving force that brings us to work each day. We believe in embracing new ideas, challenging ourselves and failing forward. We respect and celebrate individual talents and team wins. We have fun while working hard and Evolenteers often make a difference working in everything from scrubs to jeans. Are we growingAbsolutely 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 workDefinitely. 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. We recognize employees that live our values, give back to our communities each year, and are champions for bringing our whole selves to work each day. If you re looking for a place where your work can be personally and professionally rewarding, don t just join a company with a mission. Join a mission with a company behind it. What You ll Be Doing: Position Summary: The Analyst, Clinical Analytics will be working with a highly-advanced team of Risk and Quality Analysts to develop and maintain reporting capabilities. Roles & Responsibilities: Analyse data, produce reports, and connect model output to client & program operations Become a resource for how risk adjustment applies to various lines of business Identify quality measure opportunities as they relate to different lines of business Quantify and forecast operational returns related to risk adjustment and HEDIS quality measures Work in a collaborative environment with other innovative professionals to design, develop, and maintain best-in-breed risk adjustment and quality reporting solutions that measure and forecast risk scores, forecast quality STARs, monitor suspecting model performance, and identify areas of improvement Use cutting edge analytic tools & techniques like SQL, SAS and python to produce insights to improve our processes and research to share internally and externally. Skill Set Requirements (Mandatory): Bachelor s degree with either a quantitative major (e.g. actuarial, statistics, economics, engineering, computer science, operations research, applied math) or healthcare major (health administration, public health) 3-5 years of experience in a health analytics, quantitative analyst, or software engineering / programming role Technical skills required in MS office and highly proficient programming skills SQL, Python and/or SAS. Strong verbal & written skills and excellent communication & presentation skills. Comfortable presenting complex analyses Collaborative working style with the ability to work across different organizations and personalities as well as comfort in a highly matrixed environment Ability to multitask, prioritize, adapt to change, work well under pressure in an entrepreneurial environment, meet deadlines, and manage a project from start to finish Finishing Touches (Preferred): Ability to understand and apply highly technical specifications to healthcare datasets Experience with machine learning concepts such as regression, stratification, etc. Experience applying Medicare, Medicaid, or ACA risk adjustment mode Experience applying Medicare STARS quality measures Academic Qualification: Please list what academic qualifications the candidate must hold (i.e., bachelors, associates, etc.) below: *Bachelors is preferred but programming specific associates maybe okay. 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. Evolent Health is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability status .

The Opportunity As a UX Research Coordinator at FICO, youll work closely with UX researchers, product designers, and cross-functional partners to support and operationalize our user research initiatives. Your role is pivotal in scaling our research practice, enhancing participant recruitment processes, streamlining logistics, and ensuring our researchers are able to focus on what matters most, understanding our users. If you're organized, resourceful, and passionate about research in high-impact enterprise technology, wed love to hear from you - Hiring Manager What You'll Contribute Coordinate end-to-end logistics for user research studies, including usability testing, in-depth interviews (IDIs), surveys, and diary studies, across multiple product teams and geographies. Build and manage relationships with research participants, internal user communities, and external recruitment partners. Maintain and evolve our research operations toolkit (tools, templates, scheduling automations). Monitor and manage participant incentives and logistics, ensuring excellent participant experience and compliance with FICO and regional policies. Support the UX Researchers by scheduling sessions, preparing briefs, and assisting with note-taking and early synthesis where appropriate. Help compile participant screener documents, recruit lists, NDAs, and study protocols in coordination with Legal and Compliance teams. Track and organize research insights using tools like Dovetail or Airtable. Improve and maintain our internal documentation and knowledge bases on research best practices. Assist with the growth and organization of our participant panels globally, tailored to specific roles and domains (Risk Managers, Data Scientists, Analysts, and Decisioning Engineers). What We're Seeking 3+ years of experience in UX Research, Research Operations, Project Coordination, or User Experience in an enterprise SaaS or data-driven environment. Previous experience working with or supporting user researchers, product designers, or experience design teams at scale. Highly organized, detail-oriented, and comfortable working in fast-paced and matrixed environments. Experience with research and productivity tools such asUserTesting, UserZoom, Dovetail, Figma, or equivalent platforms. Excellent written and verbal communication skills in English. Ability to work with US-based, Europe-based, and India-based teams across time zones. Prior experience supporting research for highly technical audiences (e.g., data professionals, analysts, engineers). Familiarity with privacy and compliance regulations around user research (GDPR, CCPA). Previous exposure to the financial services, data analytics, or enterprise software industry is a big plus. Passion for elevating research operations as a strategic function within UX teams. Working knowledge of Confluence and Jira for knowledge management and tracking. Bachelors degree in Human-Computer Interaction, Psychology, Business Administration, Communications, or a related field. Advanced degrees or certifications in UX Research, Project/Research Management (such as ROPs) are a plus. Our Offer to You An inclusive culture strongly reflecting our core valuesAct Like an Owner, Delight Our Customers and Earn the Respect of Others. The opportunity to make an impact and develop professionally by leveraging your unique strengths and participating in valuable learning experiences. Highly competitive compensation, benefits and rewards programs that encourage you to bring your best every day and be recognized for doing so. An engaging, people-first work environment offering work/life balance, employee resource groups, and social events to promote interaction and camaraderie. Why Make a Move to FICO At FICO, you can develop your career with a leading organization in one of the fastest-growing fields in technology today Big Data analytics. Youll play a part in our commitment to help businesses use data to improve every choice they make, using advances in artificial intelligence, machine learning, optimization, and much more. FICO makes a real difference in the way businesses operate worldwide Credit Scoring FICO Scores are used by 90 of the top 100 US lenders. Fraud Detection and Security 4 billion payment cards globally are protected by FICO fraud systems. Lending 3/4 of US mortgages are approved using the FICO Score. Learn more about how you can fulfil your potential at

Project Research Scientist-I (Non-Medical)-ICMR PRAKASH Project Division Non Division User Contact Person Ms. Lincy Thomas Job Details Brief Description about the Project Developing Implementing effective intervention delivery strategies of the Anemia Mukt Bharat program 2.0 to reduce prevalence of anemia amongst vulnerable populations in selected districts of India-An Implementation research study Aims to co-design, optimize, implement and evaluate a model of implementation strategies to deliver the Anemia Mukt Bharat 2.0interventions across target beneficiaries and reduce prevalence of anemia to 20% in 2.5 years among children 6-59 months, adolescent girls (10-19 years), WRA (20-49 years), pregnant women. Project Research Scientist-I (Non-Medical) No.of Vacancy:One Prefered Qualifications: Post graduate Degree or PhD in Food and Nutrition or Lifesciences and Pharmacology with experience (three years) in conducting large scale intervention studies. Experience:Minimum of 3 years Age Limit:35 years Language:English, Kannada (Mandatory), Telugu, Tamil, Hindi Salary:Rs.72,800/- per month Location:Bangalore/Koppal Roles and Responsibilities: Lead district-level planning and implementation of AMB program activities in coordination with district health and ICDS departments. Oversee the work of Taluk Coordinators and Field Investigators across all taluks in the district. Provide technical guidance and mentorship to field teams to ensure quality and consistency of interventions. Conduct regular field visits to monitor implementation fidelity and address operational challenges. Facilitate cross-team coordination among Implementation Support, Program Learning, and Outcome Monitoring teams. Participate in district-level review meetings and represent the program in coordination platforms. Guide and support government frontline workers (ASHAs, ANMs, AWWs) and facility staff in delivering AMB interventions such as: Iron-Folic Acid (IFA) supplementation, Deworming, Growth Monitoring Nutrition Counselling and BCC Sessions. Compile district-level reports on implementation progress, learning insights, monitoring data, and field challenges. Document success stories, best practices, and innovations from the field. Submit timely reports to the Project Lead and contribute to state-level reviews and strategy discussions. Organize training, orientation, and review meetings for field staff and district stakeholders. Build strong working relationships with district officials to advocate for systems strengthening and policy-level improvements. Support the integration of AMB interventions into ongoing government health and nutrition initiatives. Willingness to Travel extensively Interested candidates may send their Resume to: The Principal Investigatior

Key Skills: Python, SQL, Selenium, JIRA, Excel/VBA, AWS (Redshift, S3, Glue), Git, CodeCommit, Qlik/Tableau/PowerBI, Statistical Tools, Machine Learning, Deep Learning, Gen AI, Operations Research, Ms Sql, Tableau Roles and Responsibilities: Design, develop, and maintain scalable data pipelines using AWS services. Automate data pipeline deployments, troubleshoot and resolve data pipeline issues, ensuring high availability and performance. Build and optimize ETL/ELT processes to ingest, transform, and load data from various sources into target systems on AWS. Design, develop, and maintain robust and scalable web automation scripts using Selenium or similar tools to automate repetitive tasks (of business operations team) across various web applications. Collaborate with business stakeholders to understand data requirements and deliver solutions that meet requirements. Develop and implement Jira workflows (with help from Atlassian partner vendors where required), including creating and configuring transitions, statuses, and automations to streamline processes. Integrate web automation scripts with Jira workflows to trigger automated actions based on issue status changes or other events. Build / Integrate APIs with MS Teams or Web Frontend for recurring requests. Enable self-serve analytics across the organization, explore and implement Gen AI capabilities that can lead to innovative solutions for the organization. Optimize data storage, retrieval, and deployment strategies for performance and cost-effectiveness in AWS. Utilize AWS data services such as S3, Glue, Lambda, Step Functions, Kinesis, Redshift, and RDS to construct efficient data workflows. Maintain code and query repositories using Git or CodeCommit, ensuring proper version control and providing comprehensive documentation for all code and queries. Experience Requirement: 3-8 years of overall experience with demonstrated success in managing and deploying scalable data pipelines on AWS. Extensive hands-on experience with Python, SQL, and web automation using Selenium. Proven ability to create and automate Jira workflows and integrations with MS Teams and other applications. Strong exposure to AWS ecosystem including Redshift, S3, Glue, Lambda, and Step Functions. Experience in enabling self-serve analytics using BI tools (Qlik, Tableau, Power BI). Experience implementing Gen AI capabilities and statistical modeling for business optimization is a strong plus. Hands-on experience maintaining version-controlled repositories in Git/CodeCommit and working within CI/CD frameworks. Education: B.Tech.

EliteRecruitments Hiring For Banking Assistant Operations Manager Description An Assistant Operations Manager in a bank supports the Operations Manager in overseeing daily banking operations, ensuring efficiency, compliance, and customer satisfaction. They manage staff, implement process improvements, and contribute to strategic planning. This role involves a mix of leadership, operational oversight, and compliance management. Required Experience And Qualifications Any Diploma/Degree Knowledge of Internet Browsing Benefits ESI And PF No Target Fixed Shift Incentives Job types: full-time Experience - 1 Yr To 3 Yrs Salary 30% To 40% Hike Job location in Pan India Email Id contact@eliterecruitments.co.in

Job description A role in Global Supply Chain and Logistics means creating industry leading intelligence solutions to drive best in class omnichannel guest experiences at the lowest cost to Target. You might focus on enabling the future transportation operating model, optimizing inventory management, driving topology planning or leveraging deep business insights and analytics to propel Targets Supply Chain. Super-powered first and foremost, by our people, and supported by robust process and technology, we are a team of data-focused, curious minds who love to solve hard problems to enable a dynamic, fast paced Supply Chain Network. Our modern operating systems are built by Target and lead in the arena of automated large-scale supply chain planning and optimization systems running large-scale solves for complex optimization problems. The Supply Chain Network Optimization team is part of Global Supply Chain and Logistics team and responsible for providing insights, leading strategy, and optimization-based initiatives to drive the efficiency of Targets overall supply chain network. The team member will need to use data engineering skills, statistical knowledge, simulation and modelling techniques while collaborating with data science, product, technology and business partners to transform Targets supply chain network. This role will support cross pyramid business teams and coordinate solutions across enterprise functions impacting productivity savings goals, system configuration accuracy (i.e. transit time, lead time, etc.), product roadmaps and process optimizationReporting/Working Relationships:Role is based out of Target in India HQ in Bangalore. Role will report to the Director of Operations Research based out of Target in India HQ in Bangalore. Role will work closely with Target Tech and data science team across globe and partners closely with Digital, Global Supply Chain & Logistics teams, Store Operations in USA Principle Duties & Responsibilities Analyse large volumes of granular supply chain data to develop key performance metrics across sales, transportation, operations, and inventory. Conduct root cause analysis to identify key drivers of operational performance and variances from projected outcomes.Collaborate with business to evaluate opportunities, quantify potential improvements, and define key focus areas for enhancing guest experience and cost efficiency in Targets supply chain management (SCM).Apply mathematical modelling, simulation techniques, and statistical analysisto identify and solve complex supply chain challenges. Work closely with cross-functional teams including building operations, transportation, and technologyto develop data-driven recommendations and implement solutions.Partner with product, analytical, and global supply chain teams to drive business objectives such as reducing shipping expenses, improving network speed, and optimizing inventory availability for various service levels. Participate in pilot programs to validate business opportunities, ensuring a smooth transition into standard processes where applicable. Collaborate with data science and engineering teams to support the deployment of algorithmic solutions for supply chain planning and control. RequirementsEducation: B.Tech/M.Tech/MS in a quantitative discipline such as Engineering, Statistics, Operations Research, or Mathematics. Experience: 8-10 years of relevant experience in retail/supply chain management.Analytical Skills: Strong experience in solving business problems using data-driven analytical techniques. Passion for empirical research and solving complex problems with data. Technical Proficiency: Expertise in SQL, PySpark, and statistical tools such as R or Python for data analysis and building prototypes. Understanding of algorithm analysis, computational complexity, and optimization techniques. Supply Chain Knowledge: Experienced in supply chain concepts such as replenishment, purchasing, planning, optimization, and logistics Research & Modelling: Proficiency in simulations, A/B testing, stochastic models, forecasting, and mathematical modelling. Software & System Knowledge: Technical aptitude and familiarity with complex supply chain and logistics software systems.Communication & Collaboration: Ability to explain complex technical concepts in a clear, concise manner to diverse audiences.

Join our dynamic Workforce Planning (WFP) team within Consumer and Community (CCB) Operations division and be part of a forward-thinking organization that leverages data science to optimize workforce efficiency. Contribute to innovative projects that drive impactful solutions for Chase's operations. As an Operations Research Analyst within the WFP Data Science team, you will tackle complex and high-impact projects. Your responsibilities will include designing and developing optimization models and simulation models, supporting OR projects either individually or as part of a team, and collaborating with stakeholders to understand business requirements and define solution objectives clearly. It is crucial to identify and select the correct method to solve problems while staying up to date on the latest OR methodologies and ensuring the robustness of any mathematical solution. Additionally, you will be expected to develop and communicate recommendations and OR solutions in an easy-to-understand manner, leveraging data to tell a story. Your role will involve leading and persuading others positively to influence team efforts and help frame business problems into technical problems with feasible solutions. The ideal candidate should possess a Master's Degree with 4+ years or a Doctorate (PhD) with 2+ years of experience in Operations Research, Industrial Engineering, Systems Engineering, Financial Engineering, Management Science, or related disciplines. You should have experience supporting OR projects with multiple team members, hands-on experience developing simulation models, optimization models, and/or heuristics, a deep understanding of the mathematics and theory behind Operations Research techniques, and proficiency in Open Source Software (OSS) programming languages like Python, R, or Scala. Experience with commercial solvers like GUROBI, CPLEX, XPRESS, or MOSEK, as well as familiarity with basic data table operations (SQL, Hive, etc.), is required. Demonstrated relationship-building skills and the ability to make things happen through positive influence are essential. Preferred qualifications include advanced expertise with Operations Research techniques, prior experience building Reinforcement Learning Models, extensive knowledge of Stochastic Modelling, and previous experience leading highly complex cross-functional technical projects with multiple stakeholders.,

As a S&C GN AI - Insurance AI Consulting Manager at Accenture, you will play a crucial role in driving strategic initiatives, managing business transformations, and utilizing industry expertise to develop value-driven solutions. Your responsibilities will include providing strategic advisory services, conducting market research, and offering data-driven recommendations to enhance business performance. At Accenture, you will have the opportunity to be part of the Accenture Global Network, a unified powerhouse that integrates Strategy & Consulting with Data and Artificial Intelligence. This dynamic environment is central to Accenture's future growth, providing continuous learning and growth opportunities for individuals. You will join a diverse, vibrant global community that constantly pushes the boundaries of business capabilities. Accenture's recognition as the 10th on the 2023 World's Best Workplaces list underscores its commitment to being a great place to work. In this role, you will need to have a complete understanding of machine learning and AI, interact with clients to understand their requirements, and translate them into business frameworks by providing advanced analytics solutions. Additionally, you will manage a team of data scientists and data engineers, provide coaching on team management and advanced analytical concepts, and demonstrate excellent written and verbal communication skills. The ideal candidate for this position will have a Bachelor's degree in economics, mathematics, computer science/engineering, operations research, or related analytics areas, along with an MBA from a top-tier academic institution. You should have a minimum of 7 years of experience in Advanced Analytics, with at least 4 years of experience in the Insurance domain. Experience in dual shore engagement, direct client management, new business development, and leading analytics teams is essential. You should possess superior analytical and problem-solving skills, along with the ability to thrive in a fast-paced, dynamic environment. This role offers the opportunity to work on innovative projects, experience career growth, and gain exposure to leadership opportunities. If you are a motivated individual with a solution-oriented mindset and the ability to create market-leading solutions, we encourage you to apply for this exciting position at Accenture.,

EliteRecruitments Hiring For Banking Branch Operations Manager Description A Branch Operations Manager in a bank oversees the daily operations of a branch, ensuring efficiency, compliance, and a high level of customer service. They manage staff, monitor financial performance, and implement strategies to achieve the branch's goals. Required Experience And Qualifications Any Diploma/Degree Knowledge of Internet Browsing Benefits ESI And PF No Target Fixed Shift Incentives Job types: full-time Experience - 1 Yr To 3 Yrs Salary 30% To 40% Hike Job location in Pan India Email Id contact@eliterecruitments.co.in

EliteRecruitments Hiring For Banking Operations Manager Description A Bank Operations Manager oversees the day-to-day operations of a bank or a specific branch, ensuring efficiency, compliance, and customer satisfaction. They lead teams, manage workflows, and implement strategies to improve operational performance. This role requires strong leadership, problem-solving, and communication skills, as well as a deep understanding of banking regulations and procedures. Required Experience And Qualifications Any Diploma/Degree Knowledge of Internet Browsing Benefits ESI And PF No Target Fixed Shift Incentives Job types: full-time Experience - 1 Yr To 3 Yrs Salary 30% To 40% Hike Job location in Pan India Email Id contact@eliterecruitments.co.in

EliteRecruitments Hiring For Banking Branch Operations Executive Description A Branch Operations Executive in a bank oversees daily branch operations, ensuring efficiency, customer satisfaction, and compliance with regulations. This role involves managing staff, implementing policies, and achieving financial targets. They are also responsible for maintaining a positive environment, fostering customer relationships, Required Experience And Qualifications Any Diploma/Degree Knowledge of Internet Browsing Benefits ESI And PF No Target Fixed Shift Incentives Job types: full-time Experience - 1 Yr To 3 Yrs Salary 30% To 40% Hike Job location in Pan India Email Id contact@eliterecruitments.co.in

Join our dynamic Workforce Planning (WFP) team within Consumer and Community (CCB) Operations division and be part of a forward-thinking organization that leverages data science to optimize workforce efficiency. Contribute to innovative projects that drive impactful solutions for Chase's operations. As an Operations Research Analyst within the WFP Data Science team, you will tackle complex and high-impact projects. You will assess unstructured problems, develop practical strategies, and propose solutions to enhance decision-making processes. Collaborate with management to prioritize, time, and deliver next-gen operations research solutions. Your responsibilities will include designing and developing optimization models and simulation models, supporting OR projects either individually or as part of a project team, collaborating with stakeholders to understand business requirements and define solution objectives clearly, selecting appropriate methods to solve problems while staying updated on the latest OR methodologies, ensuring the robustness of mathematical solutions, developing and communicating recommendations and OR solutions in an easy-to-understand manner using data to tell a story, leading and persuading others to positively influence team efforts, and helping frame a business problem into a technical problem to achieve feasible solutions. To be considered for this role, you should possess a Master's Degree with 4+ years or a Doctorate (PhD) with 2+ years of experience in Operations Research, Industrial Engineering, Systems Engineering, Financial Engineering, Management Science, or related disciplines. You should have experience supporting OR projects with multiple team members, hands-on experience in developing simulation models, optimization models, and/or heuristics, a deep understanding of the math and theory behind Operations Research techniques, proficiency in Open Source Software (OSS) programming languages like Python, R, or Scala, experience with commercial solvers like GUROBI, CPLEX, XPRESS, or MOSEK, and familiarity with basic data table operations (SQL, Hive, etc.). Additionally, you should have demonstrated relationship building skills and a superior ability to make things happen through positive influence. Preferred qualifications include advanced expertise with Operations Research techniques, prior experience in building Reinforcement Learning Models, extensive knowledge of Stochastic Modelling, and previous experience in leading highly complex cross-functional technical projects with multiple stakeholders.,

Junior Market Research Consultant Permanent employee, Full-time Bangalore Does this sound like you? Do you have firsthand experience in designing and executing quantitative research? Would you consider yourself to have a high affinity for numbers and enjoy working with data in order to draw meaningful insights ? Are you naturally curious , comfortable to suggest idea s and can apply sound critical thinking skills to move towards a solution? Does the idea of working collaboratively in a fast-paced business whilst also having the autonomy to make decision s appeal to you? Sounds like you? Then join our Bangalore team! Why Join Us? We are seeking a Junior Market Research Consultant, referred to internally as an Analyst, to strengthen our project teams. In this position, you will l earn the ropes of how we successfully run our client projects and gain valuable experience in supporting all phases of a market research project. In turn, through exposure to a diverse range of projects and tasks, you will be developed to become a comprehensive and versatile market researcher with growth opportunities in our company. You will be collaborating with a team of experienced, skilled and curious project leads and method experts, each representing a wide background of academic disciplines. Join the team of Factworkers who answer the most critical and strategic research questions for Silicon Valley giants and rising stars. What Youll Bring Minimum of 1 years hands-on experience in a quantitative primary research role (agency or client side preferred) Successful completion of studies (i.e. Masters, PhD) in Business (i.e. Marketing, MBA), Social Sciences (i.e. Psychology) or a related field Experience in working with primary quantitative survey data, i.e. creating questionnaires, collecting primary data, cleaning/validating data and charting/visualizing results Knowledgeable in statistics and quantitative research methods A sound mathematical understanding to analyse complex data Skilled in using data analysis tools and software (SPSS, R etc.) Proficient in the use of Microsoft Office Suite and Google Workspace A proactive mindset and shows initiative, not afraid to ask questions and is naturally curious Ability to seek information, drive own learning path, quickly learn technical and complex processes and then apply these readily Strong communication skills with fluency in English (both spoken and written) What Youll Do Your overarching purpose is to support our team in the necessary phases of all projects. In addition, you will be challenged to individually execute on certain phases, in close collaboration with the project leader. This position will assist in all operational tasks to ensure the smooth and successful execution of our projects. This includes planning and implementing robust quantitative research for ad-hoc and tracking projects. A large focus of this role will be working very closely with the data in order to allow our projects leads to deliver compelling storied to our clients. This involve data analysis, interpretation and visualization, as well as reporting and conceptualizing the results for the client presentations. Benefits We provide a range of benefits to help our team perform at their very best: Flexible hours Hybrid work schedule (minimum of 3 days in-person presence required in our office located at HSR Layout, Bangalore) Ongoing training and development, both internal and external Regular team events Day off on your birthday Health insurance Youll find out more details on the Who we are Numbers are what we do and it s our people who make them count. Fact: Data means nothing without interpretation. You ve got to put numbers to work to make them matter. At Factworks, that s precisely what we do. We re a team of curious minds spread across three offices in Berlin, Germany, Bangalore, India, and Silicon Valley, U.S., all motivated by the drive to solve complex challenges through in-depth research and actionable insights. Each Factworker possesses unique expertise, but our true strength lies in how we unite these individual superpowers through close collaboration and continuous learning. Together, we answer the most critical and strategic research questions for Silicon Valley giants and rising stars, never forgetting to have fun along the way. Factworks is committed to a diverse and inclusive workplace. We promote equal opportunities regardless of gender, nationality, ethnicity, religion or belief, disability, age, sexual orientation and identity.