1281 Probability Jobs - Page 46

Skill required: Com.Bkg- Credit UW - Commercial Credit Underwriting Designation: Banking Advisory Analyst Qualifications: Master of Business Administration/CA Inter/ICWA(Inter) Years of Experience: 3 to 5 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do? We help clients address quality and productivity issues, keep pace with customer expectations, navigate regulatory and operational pressures and ensure business sustainability by transforming their banking operations into an agile, resilient operating model. The Corporate banking /Wholesale banking team is responsible for helping clients and organizations processes trade finance transactions by providing superior service delivery to trade customers whilst safeguarding the bank from risks associated with this business. Conduct detailed research on the financial history of businesses to determine their creditworthiness. Assess the risk parameters of the loan, borrower, and industry including the Financial performance of the borrower and guarantor, assessing the repayment capacity and recommending the future course of action in approving/declining/counter offer of business loans. What are we looking for? Financial Analysis Strong analytical skills Written and verbal communication Problem-solving skills Should be able to review the US financial statements of the borrowers/guarantors, calculate/interpret the financial ratios. Understand and Analyze the company / borrower performance based on financials, cashflow, and other secondary information Understand the type of facilities and exposure of the borrower to asses the Loss Given Default and the Probability of Default. Should have knowledge of financials ratios impact on the overall performance. Ability to summarize borrower, financials, cashflow. Industry performance details in a clear and crisp way Roles and Responsibilities: In this role you are required to do analysis and solving of lower-complexity problems Your day to day interaction is with peers within Accenture before updating supervisors In this role you may have limited exposure with clients and/or Accenture management You will be given moderate level instruction on daily work tasks and detailed instructions on new assignments The decisions you make impact your own work and may impact the work of others You will be an individual contributor as a part of a team, with a focused scope of work Please note that this role may require you to work in rotational shifts Master of Business Administration,CA Inter,ICWA(Inter) Show more Show less

About the Role: A leading US-based AI company is seeking detail-oriented individuals passionate about mathematics and logic puzzles. In this role, you will create, evaluate, and refine puzzles to improve the accuracy and effectiveness of advanced AI models. Key Responsibilities: Solve and verify math and logic puzzles. Evaluate AI responses for accuracy and clarity. Annotate AI outputs with clear, constructive feedback. Identify unclear or incorrect data to enhance AI quality. Collaborate with the team for consistent standards. Track performance metrics like accuracy and task completion. Attend calibration sessions to maintain annotation consistency. Document best practices and support workflow improvements. Required Qualifications: Bachelor's degree in Mathematics, Physics, Computer Science, or related fields. Experience in teaching, research, or professional math/logic roles. Excellent communication skills for complex mathematical concepts. Proven analytical and problem-solving abilities. Strong knowledge in algebra, calculus, probability, discrete math, number theory, logic, algorithms, or game theory. Preferred Qualifications: Ph.D. in Mathematics, Physics, Statistics, or related fields. Experience creating educational content or puzzles. Familiarity with AI and Large Language Models (LLMs). Prior data annotation experience in math or logic contexts. Perks & Benefits: Work on cutting-edge AI and data projects impacting real-world use cases. 100% remote – work from anywhere. Contract role with flexibility and no traditional job constraints. Competitive compensation in USD, aligned with global tech standards. Selection Process: Shortlisted experts may be asked to complete an assessment. If you clear the assessment, you will be contacted for contract assignments with expected start dates, durations, and end dates. Some contract assignments require fixed weekly hours, averaging 20/30/40 hours per week for the duration of the contract assignment. Show more Show less

Job Summary Responsible for investigating and reducing component failures at electrical test through prompt, aggressive root cause analysis and effective corrective actions. Essential Duties And Responsibilities Improve component quality of non-conforming products by establishing failure analysis and obtaining corrective action from suppliers. Interact with various departments (Quality, Purchasing, Manufacturing) to resolve/improve component issues. Monitor components reject levels and respond to issues accordingly. Report technical information concerning component failures to various team members and customer. Reclaim revenue of rejected components via return of defective product. Implement proactive measures that will foster productivity and higher product yields while reducing economic loss. Respond to production line part problems immediately and address boards on component hold. Monitor the storage of moisture sensitive components in dry pack and nitrogen cases; shock sensitive devices. Follow ESD procedures at all times. Speak with customer engineering personnel in a professional and effective manner. Adhere to all safety and health rules and regulations associated with this position and as directed by supervisor. Comply and follow all procedures within the company security policy. May perform other duties and responsibilities as assigned. Job Qualifications KNOWLEDGE REQUIREMENTS Ability to read, analyze, interpret and communicate regarding common scientific and/or technical journals, financial reports, and legal documents. Ability to respond to common inquiries or complaints from customers, regulatory agencies, or members of the business community. Ability to effectively present information to top management, public groups, and/or boards of directors. Advanced PC skills, including training and knowledge of Jabil’s software packages. Ability to work with mathematical concepts such as probability and statistics, statistical inference, fundamentals of plane and solid geometry and trigonometry, understanding of partial differential equations, integration, and numerical techniques. Expertise in applying concepts such as fractions, percentages, ratios, and proportions to practical situations. Ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists. Ability to interpret a variety of instructions furnished in written, oral, diagram, or schedule form. Ability to collect data, establish facts, and draw valid conclusions. Proven ability to interpret an extensive variety of technical instructions in mathematical or diagram form and effectively deal with several abstract and concrete variables. Ability to add, subtract, multiply, and divide in all units of measure, using whole numbers, common fractions, and decimals. Ability to compute rate, ratio, and percent and to draw and interpret graphs. , BE AWARE OF FRAUD: When applying for a job at Jabil you will be contacted via correspondence through our official job portal with a jabil.com e-mail address; direct phone call from a member of the Jabil team; or direct e-mail with a jabil.com e-mail address. Jabil does not request payments for interviews or at any other point during the hiring process. Jabil will not ask for your personal identifying information such as a social security number, birth certificate, financial institution, driver’s license number or passport information over the phone or via e-mail. If you believe you are a victim of identity theft, contact your local police department. Any scam job listings should be reported to whatever website it was posted in. Show more Show less

ML Model Validation- Providing a well-integrated broad array of risk management services for financial institutions with a high level of efficiency and quality; Validation of acquisition risk scorecard models ( GBM), experience in backtesting, familiarity with advanced techniques like Shapley, hyperparameter tuning techniques (Grid, Bayesian etc) along with other key metrics Supporting financial institutions through the definition of the governance models, policies, processes and procedures in accordance to local, national and global requirements. Assisting in establishing, monitoring, evaluating and interpreting data with a risk management focus; Supporting the implementation of key regulatory requirements and guidelines; Developing Probability of Default and Loss Given Default risk rating models for commercial & corporate borrowers; Developing time series Stress Test models to support capital planning initiatives; Supporting performance monitoring and model validation; Performing data manipulation and analysis using SQL, Python and other tools and present results and recommendations to Credit Risk Management; Participating in regulatory risk assessment exercises and independent reviews of the applicable prudential framework; Identifying risk and/or improvement opportunities; Understanding and adhere to the clients’ risk and regulatory standards, policies and controls in accordance with the clients’ risk Appetite; Identifying risk-related issues needing escalation to management; Show more Show less

Job Title: Lower Secondary Mathematics Teacher Grades: Grade 6 to Grade VIII Curriculum: IGCSE (Cambridge International) Location: Kanakia International School Bhayander Key Responsibilities Plan and deliver high-quality, engaging math lessons in accordance with the Cambridge Lower Secondary Maths Curriculum. Ensure effective coverage of topics including number, algebra, geometry, statistics, and probability. Use differentiated teaching strategies to cater to varied learning styles and abilities. Assess, track, and report student progress through regular formative and summative assessments. Use technology and digital tools to enhance math teaching and learning. Prepare students for internal assessments and project-based learning tasks. Maintain a stimulating, organized, and resource-rich learning environment. Provide academic support and mentorship to students as needed. Participate in school events, professional development programs, and departmental meetings. Qualifications And Skills Bachelor’s or Master’s Degree in Mathematics, Math Education, or a related field. B.Ed. or equivalent teaching qualification (preferably with experience in international curricula). Minimum 2 years of teaching experience, ideally in a Cambridge/IGCSE or international school. Strong subject knowledge and passion for teaching mathematics. Excellent classroom management and communication skills. Familiarity with digital learning tools and online teaching platforms. tion or posting. Skills: teaching,math education,classroom management,mathematics,skills,digital learning tools,assessment,differentiated teaching strategies Show more Show less

About the job About us We are surrounded by the world's leading consumer companies led by technology - Amazon for retail, Airbnb for hospitality, Uber for mobility, Netflix and Spotify for entertainment, etc. Food & Beverage is the only consumer sector where large players are still traditional restaurant companies. At Rebel Foods, we are challenging this status quo as we are building the world's most valuable restaurant company on the internet, superfast. The opportunity for us is immense due to the exponential growth in the food delivery business worldwide which has helped us build 'The World's Largest Internet Restaurant Company' in the last few years. Rebel Foods' current presence is India, Indonesia, UAE, UK & KSA with close to 50 brands and 4500+ internet restaurants has been built on The Rebel Operating System . While for us it is still Day 1, we know we are in the middle of a revolution towards creating never seen before customer-first experiences. We bring you a once-in-a-lifetime opportunity to disrupt the 500-year-old industry with technology at its core. Job Description We are looking f or a Data Scienti st-II to join our Data Science & Analytics (DSA) Team. You will get to work with other data scientists, analysts, data engineers, PMs and business teams on some of the toughest and most interesting problems in our industry. Our work spans across areas of inventory forecasting, order predictions, marketing spend optimization, delivery time prediction, personalization, customer insighting, product recommendations, supply chain planning, capacity optimization, and more. The role will involve understanding business problems, designing relevant ML solutions, building & deploying new models, maintaining & enhancing existing models, and automating performance measurement of the same. We are looking for someone who is excited to work in a fast-growing industry, has a spirit of ownership & collaboration, and loves seeing the impact of what they have built at scale! What our team owns at Rebel, the Data Science & Analytics team builds and maintains all ML models, rule-based intelligence, automated reports and dashboards used by the organization. We are on a mission to drive business impact via ML and Data Science and grow adoption of these areas at Rebel. We also want to enable the organization to better understand and effectively use ML and DS. We interact with teams across every business area such as Supply, Operations, Demand Generation, D2C, Finance, Brands, Customer Delight, Central Planning and many more. We are never short of interesting challenges and we balance delivering continuous impact and great CX, while building strong foundations to drive sustainable ML returns overtime. Specific Qualifications Strong working knowledge of a variety of machine learning techniques (Regression, Classification,Clustering, Decision Tree, Probability Networks, Neural Networks, Bayesian models etc.) Proficient in Python, SQL, and machine learning libraries (e.g., TensorFlow,scikit-learn). Experience in working with varied data types (structured and unstructured) and databases Experience with Machine Learning and related technologies such as Python, Tensorflow, Amazon SageMaker Excellent problem-solving skills with a demonstrated ability to think analytically and strategically. Good-to-have Experience solving NLP-based problems or working with LLMs / prompt engineering Working with non-tech stakeholders and explaining ML performance in simple language A love of food (Yes, we have regular tasting sessions at office!) Share across your cv's to v-noor.fazilath@rebelfoods.com Show more Show less

Company: ACS Networks & Technologies Pvt. Ltd. Job Type: Full-Time Type: Education/Training/KPO. Location: Sahastradhara Road, Dehradun, Uttarakhand - 248001 About Us : ACS Networks & Technologies Pvt. Ltd. is a leading company in the education and technology sector, providing high-quality academic content and solutions. We are hiring Subject Matter Experts (SMEs) across various subjects to develop high quality content. Join Our Team : Subject Matter Experts (SMEs) Needed for Chegg Q&A! Are you passionate about your subject and looking for a flexible, rewarding opportunity? We’re hiring part-time and full-time Subject Matter Experts (SMEs) to support students through the Chegg Q&A process-and we want YOU on board! Why Choose Us? Work from Home (Set your own hours and enjoy the comfort of remote work). Work from office( Timing -6:30am to 3:30pm or 8:30am to 5:30pm) for night shift (9:30pm to 6:30am). Competitive Pay: Earn for every question you solve-your expertise is valued and rewarded. Make an Impact: Help students globally by providing clear, accurate, and insightful solutions. Grow Your Skills: Stay sharp in your field and expand your knowledge base. We’re Looking for Experts in Accounting, Finance, Operations Management Engineering: Civil, Chemical, Mechanical, Electrical Engineering Science: Advanced Physics, Chemistry, Advanced Mathematics, Statistics and Probability. How to Apply: Simply share your resume at shalini.kandari@acstechnologies.net with the subject line “Chegg SME Application – [Your Subject].” Who Can Apply? Anyone with strong subject expertise and a passion for helping students learn. Technical and academic qualifications (B. Tech, MTech, MBA, M.Sc., Ph.D., etc.) are preferred. If you’re ready to share your knowledge, inspire learners, and be part of a dynamic EdTech community, send us your resume today! Job Types: Full-time, Permanent Pay: ₹15,000.00 - ₹23,500.00 per month Benefits: Health insurance Schedule: Day shift Morning shift Night shift Work Location: In person Application Deadline: 31/05/2025

Greetings Connections, Job Title: Subject Matter Expert (SME) Company: ACS Networks & Technologies Pvt. Ltd. Job Type: Full-Time, Work from Office Industry Type: Education/Training/KPO. Location: Sahastradhara Road, Dehradun, Uttarakhand - 248001 ACS Networks & Technologies Pvt. Ltd. is looking for a Subject Matter Expert (SME) to guide the development of technical and non-technical solutions for our international clients. The SME will provide in-depth knowledge and expertise in a specific subject, business area, or technical domain, ensuring high-quality and insightful academic content development. About Us: ACS Networks & Technologies Pvt. Ltd. is a leading company in the education and technology sector, providing high-quality academic content and solutions. We are hiring Subject Matter Experts (SMEs) across various subjects to develop high quality content. Subjects Available: Ø Civil Eng. Ø Finance Ø Operations Management Ø Mechanical Eng. Ø Statistics and Probability Ø Electrical Eng. Ø Chemistry Key Responsibilities:· Develop high-quality academic content and solutions.· Solve subject-specific queries and provide detailed explanations.· Review and proofread content for accuracy, Clarity, etc.· Create structured and plagiarism-free solutions.· Assist in curriculum development and educational content creation. Qualifications & Skills:· Preferred Master’s/Ph.D. in the relevant subject area (Should have scored 8 CGPA or above in Post-Graduation).· Strong knowledge and expertise in the chosen subject.· Excellent written and verbal communication skills.· Ability to research and provide detailed, step-by-step solutions.· Proficiency in MS Office, MS word & MS Excel.· Prior experience in academic content creation or teaching is a plus. Why Join Us?· Competitive salary and growth opportunities.· Exposure to global academic content development.· A collaborative and learning-driven work environment.· Work with a team of experts in various disciplines. How to Apply: Interested candidates can share their updated resumes at Ayushi@acstechnologies.net Join us and be a part of an innovative and knowledge-driven team at ACS Networks & Technologies Pvt. Ltd. #ACS#HiringNow#JobOpening#JobAlert #WeAreHiringhashtag#CareerOpportunity #JoinOurTeam#Dehradun#Uttarakhand#DehradunHiring#DehradunJobs#DehradunCareers#JobsInDehradun Job Types: Full-time, Permanent Pay: ₹23,500.00 per month Schedule: Morning shift Night shift Supplemental Pay: Performance bonus Work Location: In person

Job Title: Subject Matter Expert (SME) Company: ACS Networks & Technologies Pvt. Ltd. Job Type: Full-Time, Work from Office Industry Type: Education/Training/KPO. Location: Sahastradhara Road, Dehradun, Uttarakhand - 248001 ACS Networks & Technologies Pvt. Ltd. is looking for a Subject Matter Expert (SME) to guide the development of technical and non-technical solutions for our international clients. The SME will provide in-depth knowledge and expertise in a specific subject, business area, or technical domain, ensuring high-quality and insightful academic content development. About Us: ACS Networks & Technologies Pvt. Ltd. is a leading company in the education and technology sector, providing high-quality academic content and solutions. We are hiring Subject Matter Experts (SMEs) across various subjects to develop high quality content. Subjects Available: Accounting Advanced Math Advanced Physics Chemistry Economics Electrical Engineering Finance Mechanical Engineering Nursing Operations Management Physics Statistics and Probability Key Responsibilities:· Develop high-quality academic content and solutions.· Solve subject-specific queries and provide detailed explanations.· Review and proofread content for accuracy, Clarity, etc.· Create structured and plagiarism-free solutions.· Assist in curriculum development and educational content creation. Qualifications & Skills:· Preferred Master’s/Ph.D. in the relevant subject area (Should have scored 8 CGPA or above in Post-Graduation).· Strong knowledge and expertise in the chosen subject.· Excellent written and verbal communication skills.· Ability to research and provide detailed, step-by-step solutions.· Proficiency in MS Office, MS word & MS Excel.· Prior experience in academic content creation or teaching is a plus.Why Join Us?· Competitive salary and growth opportunities.· Exposure to global academic content development.· A collaborative and learning-driven work environment.· Work with a team of experts in various disciplines. How to Apply:Interested candidates can share their updated resumes at neelam@acstechnologies.net or contact us at +91 7037453282 Job Types: Full-time, Permanent Pay: ₹18,000.00 - ₹20,000.00 per month Schedule: Day shift Work Location: In person

The Project Analyst 3 is a developing professional role. Deals with most problems independently and has some latitude to solve complex problems. Integrates in-depth specialty area knowledge with a solid understanding of industry standards and practices. Good understanding of how the team and area integrate with others in accomplishing the objectives of the subfunction/ job family. Applies analytical thinking and knowledge of data analysis tools and methodologies. Requires attention to detail when making judgments and recommendations based on the analysis of factual information. Typically deals with variable issues with potentially broader business impact. Applies professional judgment when interpreting data and results. Breaks down information in a systematic and communicable manner. Developed communication and diplomacy skills are required in order to exchange potentially complex/sensitive information. Moderate but direct impact through close contact with the businesses' core activities. Quality and timeliness of service provided will affect the effectiveness of own team and other closely related teams. Responsibilities: Collect, measure and analyze project management data. Identify, track and close project issues. Ensure creation of project scope plan and creation of project schedule. Forecast project costs, track actual project costs, identify variances, and revise forecasted project costs as needed. Create the project quality management plan, identify quality standards and metrics to measure achievement of these standards. Identify project risks, perform probability and impact analysis, determine responses to risks, track risks, and execute responses as needed. Has the ability to operate with a limited level of direct supervision. Can exercise independence of judgement and autonomy. Acts as SME to senior stakeholders and /or other team members. Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Qualifications: 2-5 years relevant experience Education: Bachelor’s/University degree or equivalent experience This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. Job Description The Reporting Analyst within the Lending Operations team is a strategic professional who stays abreast of developments within the organization and contributes to directional strategy by providing in-depth reporting and detailed analysis on relevant metrics. Deals with most problems independently and has some latitude to solve complex problems. Integrates in-depth specialty area knowledge with a solid understanding of industry standards and practices. Good understanding of how the team and area integrate with others in accomplishing the objectives of the subfunction/ job family. Applies analytical thinking and knowledge of data analysis tools and methodologies. Applies professional judgment when interpreting data and results. Breaks down information in a systematic and communicable manner. Developed communication and diplomacy skills are required in order to exchange potentially complex information. Moderate but direct impact through close contact with the businesses' core activities. Quality and timeliness of service provided will affect the effectiveness of own team and other closely related teams. Responsibilities: Manage and prepare informative lending operation metrics to line managers and other stakeholders on daily, weekly, and/or monthly basis Deals with most lending-related problems independently and has some latitude to resolve complex issues, where expertise is required to interpret against policies, guidelines or processes Applies judgment when interpreting data, preparing reports, and presents findings to management Requires strong analytical skills in order to analyze and validate potentially complex, dynamic, and extremely large datasets Stays abreast of the organization's operational procedures and best practices in business strategy and process/quality improvements Provides in-depth analysis with interpretive thinking to define problems, develop innovative solutions, and streamline operational processes Liaises with various stakeholders regarding current trends and variances while also using predictive analytics for forecasting future trends and variances Responsible for escalating control gaps and issues to senior management Qualifications: 2-5 years of professional experience; experience in analytics & reporting preferred Proficient in Microsoft Office products, especially Excel & Access Ability to read/write programming language (SQL, VBA, etc) preferred Intermediate knowledge with Tableau or other visual dashboards Ability to effectively use complex analytical, interpretive and problem solving techniques Ability to multi-task and handle short-term deadlines & conflicting priorities Demonstrated interpersonal, verbal and written communication skills Education: Bachelor’s/University Degree or equivalent experience ------------------------------------------------------ Job Family Group: Operations - Core ------------------------------------------------------ Job Family: Operations Project Management ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster. Show more Show less

Job Description Key Responsibilities : Algorithm & Model Leadership : Lead the design, development, and implementation of state-of-the-art NLP algorithms and models, with a strong focus on Transformers and similar architectures. Data Quality Assurance : Ensure exceptional data quality throughout all stages of acquisition and processing, including data sourcing/collection, ground truth generation, normalization, transformation, and cross-lingual alignment/mapping. Independent Project Management : Manage your own process by identifying and executing high-impact projects, triaging external requests, and ensuring projects reach conclusion in a timely manner for useful results. Technical Communication : Communicate complex proposals and results clearly and effectively, backed by data, and coupled with actionable conclusions to drive critical business decisions. Collaboration : Work closely with a team of highly skilled and motivated data scientists and machine learning Skills & Qualifications : Experience : Must have 4+ years of industry experience in data science. Machine Learning Fundamentals : Solid understanding of machine learning fundamentals, and familiarity with standard algorithms and techniques. Statistical Computing : Expert knowledge of a statistical computing language such as Python. Probability & Statistics : Strong knowledge of probability and statistics, including experimental design, predictive modeling, optimization, and causal inference. Deep Learning Frameworks : Good knowledge of Deep Learning frameworks like PyTorch and Tensorflow is a must. NLP Expertise : Proven experience in designing, developing, and implementing state-of-the-art NLP algorithms and models using Transformers and similar architectures. Data Quality Focus : Demonstrated ability to ensure data quality across all stages of data acquisition and processing. Problem-Solving : Ability to identify and execute on high-impact projects and bring them to conclusion. Communication : Excellent written and verbal technical communication skills. Team Player : A strong team player who collaborates effectively. Education : Bachelor of Technology (B.Tech) or Bachelor of Science (B.S.) degree (or equivalent) in computer science, engineering, or a relevant : Track-record of having developed novel algorithms, e.g., publications in one or more of the following top tier conferences : KDD, WWW, NIPS, ISWC, NAACL, ACL, SIGIR, EMNLP, ICML. Expertise in building and fine-tuning LLM (Large Language Model) models using Transformers and RAG (Retrieval-Augmented Generation) systems. Good understanding of MLOps tools/processes like ElasticSearch, Jenkins, Docker. (ref:hirist.tech) Show more Show less

JD – AI Scientist (Vision): First Livingspaces About The Chatterjee Group The Chatterjee Group (TCG) has an enviable track record as a strategic investor, with businesses in many sectors. Founded by Dr. Purnendu Chatterjee in 1989, the Group specializes in the Petrochemicals, Pharmaceuticals, Biotech, Financial Services, Real Estate and Technology sectors in the US, Europe and South Asia. It provides end-to-end product and service capabilities through its investments and companies in these sectors. TCG is one of the biggest PE groups in the country with significant brand presence abroad and in India. About The Company – First Livingspaces First Livingspaces is a fully owned subsidiary of the TCG group . First Livingspaces is an AI first company which intends to create an ecosystem for daily living needs and necessities. We want to simplify the life of an individual who intends to rent, buy or Co-live, and provide all amenities for a happy seamless living. We are building a large universe, powered by technology at the core. About The Role In this role, you will have the potential to define and shape the AI strategy for India’s first real estate ecosystem of developers, brokers, societies, and most importantly, people like you – the end customer! If you are excited about the prospect of being the go-to person for computer vision on a data science team, and willing to take end-to-end ownership of all machine learning problems involving computer vision, this is already a good fit! We aim to have machine learning powering most if not all of the experiences on the platform. You will get to join an innovative team that develops models which will influence both our products and clients. You’ll be expected to execute in the face of ambiguity, shifting priorities, and limited resources. Responsibilities Work as part of data science team in defining, prototyping and implementing data science models/algorithms as part of the product. Take ownership of the data science model end-to-end -from data collection to model building to monitoring the model in production. Along with product managers, own the business outcomes/metrics which the data science model/algorithm drives. Stay abreast of the latest advances in computer vision research with a goal of incorporating state of the art advancements wherever beneficial. Help to make data science and data-driven decision making a part of the organisation’s DNA. Communicate results and ideas to key decision makers. Requirements Bachelors/Master’s Degree in Computer Science, Statistics, Applied Math or related field from one of the premier institutes in India/Abroad. IIT/IIIT/ISI/RECs would be preferred. 2+ years of professional experience in data science, with experience in using neural networks for computer vision. Solid understanding of the mathematics related to data science – statistics, probability, linear algebra, etc. Ability to understand business concerns and formulate them as technical problems that can be solved using data and maths/stats/ML. Conceptual understanding of the fundamentals of deep learning and neural networks. Experience with programming in Python. Experience with programming in Pytorch/Tensorflow. Experience working with large datasets coming from multiple different data sources is a plus. Experience deploying models on the cloud is a plus. Inclusive and Equal Workplace First Livingspaces Pvt. Ltd. is dedicated to creating an inclusive workplace that promotes equality and fairness. We celebrate diversity and ensure that no one is discriminated against based on gender, caste, race, religion, sexual orientation, protected veteran status, disability, age, or any other characteristic, fostering an environment where everyone can thrive. Show more Show less

Position Overview Job title: Debt Strategic Analytics Corporate Title: VP Location: Mumbai, India Role Description Deutsche CIB Centre Pvt Ltd is Deutsche bank’s global platform for front-office & aligned functions to create value by utilizing non-traditional locations, exceptional talent, and a collaborative culture. This branch of Deutsche Bank Group company is looking for extremely bright candidates for the role of Debt Strategic Analytics (Strats). The candidate is required to work in close collaboration with London/Singapore teams on various quantitative and regulatory driven projects. Candidate is required to understand the business problem, gather information required for the implementation and provide an end-to-end optimized solution on a scalable platform. Implementation of the project needs to be done in Python and C++ programming language. Candidate should possess excellent English communication skills to coordinate and communicate effectively with various stakeholders spread across the globe. What We’ll Offer You As part of our flexible scheme, here are just some of the benefits that you’ll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Flexible working arrangements Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Your Key Responsibilities The Quantitative Strategist (Quant Strat) is responsible for designing, developing and implementing through analytical (quantitative) and direct coding (e.g., via C++; Python or any other relevant application), quantitative strategic models, risk management (credit risk, market risk, anti-financial crime etc.) and pricing solutions to meet business & control needs and drive respective strategies or regulatory adherence. Some responsibilities for this role include, but not limited to: Work with Capital and Liquidity Management colleagues in Treasury to develop a framework to optimize funding for the bank, manage asset and liability mismatches in the liquidity pool and bring more transparency into the process. Development of complex processes, framework or risk analysis as well as improvements specially focused on Liquidity Risk. Implement, enhance and maintain existing framework to measure market risks across the bank from Treasury perspective. Remediation of regulatory as well as external and internal findings against any existing risk model. Build quant driven tools and products for front-office and control functions. Coordinate and gather information from various stakeholders for deeper understanding of the business. Develop and design tables and databases required for storage of the data. Design an automated solution which is optimized and scalable. Your Skills And Experience Strong programming skills in C++ and Python preferably in financial industry. Relevant experience of at least 8 years in Banking or Software Development. At least 3+ year experience with relational database design (oracle, mysql). Strong understanding of Data Structures & Algorithms, memory optimization etc. Good quantitative skills in Probability, Calculus, and Linear Algebra. Experience with applied econometrics (Hypothesis testing, PCA, Linear/Non-Linear Regression etc.) is a plus. Knowledge of applied linear/Integer linear programming, dynamic programming & greedy algorithms is a plus. Relevant experience in some of financial products like Bonds, Swaps, Cross Currency Swaps, Loans & Deposits is a plus. Strong communication skills and presentation ability with attention to detail. Good problem-solving instincts and strong analytical skills. Strong educational background in Engineering/Science, preferably from top tier colleges in India. How We’ll Support You Training and development to help you excel in your career. Flexible working to assist you balance your personal priorities. Coaching and support from experts in your team. A culture of continuous learning to aid progression. A range of flexible benefits that you can tailor to suit your needs. About Us And Our Teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment. Show more Show less

Position Overview In Scope of Position based Promotions (INTERNAL only) Job Title- Credit Officer, Associate Location- Mumbai, India Role Description Risk division has a fundamental responsibility to protect the Bank. With group-wide responsibility for the management and control of credit, market, operational and reputational risks, we have a unique vantage point which allows us a holistic view of our businesses and our clients. Nearly 4,000 employees work together in our division to achieve our ambition to be an industry-leading risk management organisation. In an increasingly complex environment, risk management is fast-becoming the most sought after place to build a career within the banking world. Risk at Deutsche Bank is relied upon to help shape the strategy of the organisation and the wider industry agenda. The Global Credit Analytics Function (GCAF) is entrusted with the work of assigning and surveillance of Probability of Default Rating to Corporate and Institutional counterparties of the Bank. As part of Risk’s transformation journey, GCAF is bringing Credit documentation to its purview and requires strong analysts to handle the same. What We’ll Offer You As part of our flexible scheme, here are just some of the benefits that you’ll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your Key Responsibilities Undertake accurate and timely credit analysis of counterparties (including Corporates and FIs) by identifying business and financial risk based on understanding of business model, financial statement analysis, preparing cash flow model/ forecast and peer analysis. Write Rating reports and credit reviews/analysis for recommendation to Senior members for approval. Active participation in Live trades with onshore credit officers (KCP) by understanding the trade dynamics, providing your recommendation and completing the credit write-ups (Addendum) for the same. On-going monitoring & surveillance of assigned international portfolios, including rating changes, market/industry developments,news events, etc and assessing the impact on credit worthiness of the counterparty, keeping DB’s exposure in mind. Understand the various banking products (including Trade Finance and Derivatives) and credit documentation for the same. Support the KCP with appropriate checks and its inclusion in the credit reviews. Monitoring of limits/exposure: Updating Limit amendments and credit relevant data updates in the credit system. Exposure monitoring and timely clearance of Excess tickets. Timely monitoring of covenants and regular discussion with KCPs. Manage own credit portfolio and assist senior decision makers to make informed decisions based on your recommendations Interface directly across with the Credit officers (KCP) and other stakeholders (business side, Exposure managements, and various ops teams) to ensure complete understanding of DB’s exposure and timely completion of the credit reviews. Participate in ad-hoc projects related to portfolio exercises (industry/regional exercise), regulatory developments, sector notes, audit exercises and support onshore KCPs for various business strategies. Ensure compliance with relevant and applicable local and global regulatory and policy requirements Your Skills And Experience Relevant professional qualifications are MSc / MA / MBA / CA / CFA, etc. Relevant work experience in credit underwriting Strong analytical skills, knowledge of financial markets and economic/industry trends Strong accounting background, knowledge of financial ratios, financial statement analysis, cash flow projections or project finance How We’ll Support You Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs About Us And Our Teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment. Show more Show less

Job Description YOUR IMPACT As a strategist who sits in the Securities Division, you will play an integral role on the trading floor. You may create cutting-edge derivative pricing models and empirical models to provide insight into market behavior, or develop automated trading algorithms for the firm and its clients. You might be involved in analyzing exposures and structuring transactions to meet client needs, or involved in designing and developing complex parallel computing architectures, electronic trading tools, and advanced algorithms. Throughout the Securities Division, strategists are using quantitative and technological techniques to solve complex business problems. OUR IMPACT Our core value is building strong relationships with our institutional clients, which include corporations, financial service providers, and fund managers. We help them buy and sell financial products on exchanges around the world, raise funding, and manage risk. This is a dynamic, entrepreneurial team with a passion for the markets, with individuals who thrive in fast-paced, changing environments and are energized by a bustling trading floor THE PRIME SERVICES STRAT TEAM – FUNDING/INVENTORY MANAGEMENT Our global team is a fundamental part of the Prime Brokerage and Clearing Services groups under the Prime Services umbrella within the Securities Division. We drive major business decisions and run business critical systems in the following areas. Our funding/inventory management strats work with securities lending and the synthetic product desk in conducting transactions and managing risk. In this entrepreneurial role, we build and maintain real-time and scalable trading, inventory management and funding platforms and identify trade opportunities systematically. While organized in different teams and locations, we pride ourselves in our teamwork across the globe and teams to find solutions that help our business thrive around the world. Our team members have a wide variety of quantitative academic and cultural backgrounds. This diversity helps us to find innovative solutions for our complex business problems. It is an exciting time to join our growing team. How You Will Fulfill Your Potential If you are looking for an entrepreneurial position allowing you to fully leverage your strong quantitative, engineering and communication skills to solve challenging real world problems, then our funding/inventory management strat team has the ideal opportunity for you. In this role you will work cross-functionally to build scalable and robust platforms to optimize and automate inventory management decisions. As a member of our growing team, you will have the opportunity to improve our offering to our clients across the physical and synthetic Prime Brokerage. Basic Qualifications SKILLS & EXPERIENCE WE’RE LOOKING FOR Strong academic background in a relevant field - Mathematics, engineering, computer science, or economics background, including a quantitative understanding of statistics and probability, 3+ Years of relevant experience Strong programming skills in a modern programming language (C++, Python, Java or equivalent language) and familiarity with object oriented design principles Ability to work as a member of a global team and deliver results quickly Ability to solve technical problems and explain the underlying ideas to a non-technical audience Preferred Qualifications Strong written and verbal communication skills Knowledge of financial markets, in particular, understanding of one delta products, and financial mathematics is a plus Successful track record of building scalable systems with clearly defined SLAs in a financial setting. Entrepreneurial spirit About Goldman Sachs At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html © The Goldman Sachs Group, Inc., 2025. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity Show more Show less

About us We are surrounded by the world's leading consumer companies led by technology - Amazon for retail, Airbnb for hospitality, Uber for mobility, Netflix and Spotify for entertainment, etc. Food & Beverage is the only consumer sector where large players are still traditional restaurant companies. At Rebel Foods, we are challenging this status quo as we are building the world's most valuable restaurant company on the internet, superfast. The opportunity for us is immense due to the exponential growth in the food delivery business worldwide which has helped us build 'The World's Largest Internet Restaurant Company' in the last few years. Rebel Foods' current presence is India, Indonesia, UAE, UK & KSA with close to 50 brands and 4500+ internet restaurants has been built on The Rebel Operating System . While for us it is still Day 1, we know we are in the middle of a revolution towards creating never seen before customer-first experiences. We bring you a once-in-a-lifetime opportunity to disrupt the 500-year-old industry with technology at its core. Job Description We are looking f or a Data Scienti st-II to join our Data Science & Analytics (DSA) Team. You will get to work with other data scientists, analysts, data engineers, PMs and business teams on some of the toughest and most interesting problems in our industry. Our work spans across areas of inventory forecasting, order predictions, marketing spend optimization, delivery time prediction, personalization, customer insighting, product recommendations, supply chain planning, capacity optimization, and more. The role will involve understanding business problems, designing relevant ML solutions, building & deploying new models, maintaining & enhancing existing models, and automating performance measurement of the same. We are looking for someone who is excited to work in a fast-growing industry, has a spirit of ownership & collaboration, and loves seeing the impact of what they have built at scale! What our team ownsAt Rebel, the Data Science & Analytics team builds and maintains all ML models, rule-based intelligence, automated reports and dashboards used by the organization. We are on a mission to drive business impact via ML and Data Science and grow adoption of these areas at Rebel. We also want to enable the organization to better understand and effectively use ML and DS. We interact with teams across every business area such as Supply, Operations, Demand Generation, D2C, Finance, Brands, Customer Delight, Central Planning and many more. We are never short of interesting challenges and we balance delivering continuous impact and great CX, while building strong foundations to drive sustainable ML returns overtime. Specific Qualifications Strong working knowledge of a variety of machine learning techniques (Regression, Classification,Clustering, Decision Tree, Probability Networks, Neural Networks, Bayesian models etc.) Proficient in Python, SQL, and machine learning libraries (e.g., TensorFlow,scikit-learn). Experience in working with varied data types (structured and unstructured) and databases Experience with Machine Learning and related technologies such as Python, Tensorflow, Amazon SageMaker Excellent problem-solving skills with a demonstrated ability to think analytically and strategically. Good-to-have Experience solving NLP-based problems or working with LLMs / prompt engineering Working with non-tech stakeholders and explaining ML performance in simple language A love of food (Yes, we have regular tasting sessions at office!) Show more Show less

Job Description #KGS As one of fastest growing practice in DAS, Infrastructure and Climate Advisory (ICA) team at KGS invites like-minded professionals to help us drive progress and change. At KGS ICA practice, you will work as part of a multidisciplinary team across a range of industries to assist public and private sector organizations involved in infrastructure to deliver desired outcomes, for society and businesses. We are the Centre of Excellence for KPMG’s Global practices, helping our clients to develop better understanding of the evolving policy and regulatory environment, business and commercial risks, as well as providing commercial and strategic advice on complex infrastructure and capital projects. You will work on a wide range of Infrastructure sectors including the Social Infrastructure, Transport, Power & Utilities sector including all of the leading UK energy and water companies as well as some of the largest utilities in Europe and beyond. The work combines elements of policy, finance, strategy and economics to assist our clients in structuring investments, securing financing, supporting regulatory regimes and maximising shareholder value. Responsibilities Responsibilities You Will Be Responsible For The Following Contributing to the delivery of multiple simultaneous engagements on a day-to-day basis oYour projects will focus on financial and economic analysis, including cost of capital estimation, risk and scenario analysis, financial modelling, investment appraisal and valuation, and assessment of required rates of return oThere is no ‘typical project’. You will need to apply a structured strategic approach to problem solving, drawing on established economic principles, while having the capacity to think creatively Contributing to the effective planning, delivery and closure of projects Producing high quality quantitative analyses (using tools such as Excel, R/Stata, risk modelling software, etc) as well as written outputs Contributing to specific business development initiatives, particularly proposals and pitches Building and maintaining relationships with clients and target clients and key market constituents Developing a good working understanding of the regulatory frameworks and financial implications in key sectors such as water and energy Practice Development Direct, manage, and mentor junior team members on engagements and contribute to the overall skills enhancement and experience of the team Contribute to knowledge management and thought leadership to support practice development Qualifications A Master's or postgraduate degree in a quantitative field such as Finance, Economics, or Mathematics from a reputable Indian or international institution is highly desirable. 5-6 years of relevant experience, preferably gained at global research or consulting firms, though not essential. Experience in the utilities sector (water and energy networks sectors in particular), would be an advantage. Background in asset pricing and a strong knowledge of the Capital Asset Pricing Model (CAPM) Solid understanding of fundamental statistical concepts, including correlation, probability, and regression analysis. Proficiency in R or Stata is preferred High level of competency in Excel Familiarity with Bloomberg, Eikon, and other financial databases is important Experience in professional report writing and presentation preparation Show more Show less

Level Up Your Career with Zynga! At Zynga, we bring people together through the power of play. As a global leader in interactive entertainment and a proud label of Take-Two Interactive, our games have been downloaded over 6 billion times—connecting players in 175+ countries through fun, strategy, and a little friendly competition. From thrilling casino spins to epic strategy battles, mind-bending puzzles, and social word challenges, our diverse game portfolio has something for everyone. Fan-favorites and latest hits include FarmVille™, Words With Friends™, Zynga Poker™, Game of Thrones Slots Casino™, Wizard of Oz Slots™, Hit it Rich! Slots™, Wonka Slots™, Top Eleven™, Toon Blast™, Empires & Puzzles™, Merge Dragons!™, CSR Racing™, Harry Potter: Puzzles & Spells™, Match Factory™, and Color Block Jam™—plus many more! Founded in 2007 and headquartered in California, our teams span North America, Europe, and Asia, working together to craft unforgettable gaming experiences. Whether you're spinning, strategizing, matching, or competing, Zynga is where fun meets innovation—and where you can take your career to the next level. Join us and be part of the play! Position Overview Zynga is looking for an experienced Mathematician to work on one of our existing popular games that run on mobile devices. We develop leading social casino games with a team of high caliber designers. As a Mathematician you will implement our game math models to create engaging experiences to captivate our players. What You'll Do As a member of the design team you will collaborate with game designers to build industry leading slot games to delight and engage our players. Provide detailed mathematical models for slot games and other game features. Offer detailed analysis and explanation of mathematical models. Develop and explore innovative functionality of slot games. Validate, simulate and sign-off mathematical models to ensure they work as intended. Troubleshoot with engineers on technical implementation on mathematical models. What You Bring Advanced degree in mathematics, computer science or related fields. 1+ year experience in social slot game design and mathematics. Excellent working knowledge in combinatorics, statistics and probability theories. Proficiency with Excel and programming, preferably C++ or python. High degree of creativity and innovation on game designs and a proven ability to perform analysis on complicated concepts. Comfortable to work and research independently as well as in a team. Excellent understanding of successful elements of slot games. What We Offer You Zynga offers a world-class benefits package that helps support and balance the needs of our teams. To find out more about our benefits, visit the Zynga Benefits We are proud to be an equal opportunity employer, which means we are committed to creating and celebrating diverse thoughts, cultures, and backgrounds throughout our organization. Employment with us is based on substantive ability, objective qualifications, and work ethic – not an individual’s race, creed, color, religion, sex or gender, gender identity or expression, sexual orientation, national origin or ancestry, alienage or citizenship status, physical or mental disability, pregnancy, age, genetic information, veteran status, marital status, status as a victim of domestic violence or sex offenses, reproductive health decision, or any other characteristics protected by applicable law. As an equal opportunity employer, we are committed to providing the necessary support and accommodation to qualified individuals with disabilities, health conditions, or impairments (subject to any local qualifying requirements) to ensure their full participation in the job application or interview process. Please contact us at accommodationrequest@zynga.com to request any accommodations or for support related to your application for an open position. Please be aware that Zynga does not conduct job interviews or make job offers over third-party messaging apps such as Telegram, WhatsApp, or others. Zynga also does not engage in any financial exchanges during the recruitment or onboarding process, and will never ask a candidate for their personal or financial information over an app or other unofficial chat channel. Any attempt to do so may be the result of a scamp or phishing attack, and you should not engage. Zynga’s in-house recruitment team will only contact individuals through their official Company email addresses (i.e., via a zynga.com, naturalmotion.com, smallgiantgames.com, themavens.com, gram.gs email domain). Show more Show less

Model Validation: Building and validating models for a financial institution Supporting financial institutions through the definition of the governance models, policies, processes and procedures in accordance to local, national and global requirements; Assisting in establishing, monitoring, evaluating and interpreting data with a risk management focus; Supporting the implementation of key regulatory requirements and guidelines; Developing Probability of Default and Loss Given Default risk rating models for commercial & corporate borrowers; Developing time series Stress Test models to support capital planning initiatives; Supporting performance monitoring and model validation; Performing data manipulation and analysis using SQL, SAS and other tools and present results and recommendations to Credit Risk Management; Contributing to the analysis of impairment models; Participating in regulatory risk assessment exercises and independent reviews of the applicable prudential framework; Show more Show less

About Us We are committed to empowering aspiring data scientists through industry-relevant training and hands-on guidance. Our training programs are designed to bridge the gap between academic learning and professional expertise. Job Overview We are looking for a skilled and enthusiastic Data Science Trainer to join our team. The trainer will be responsible for delivering high-quality training sessions, mentoring students, and equipping them with practical knowledge and skills to excel in the field of data science. Key Responsibilities Conduct engaging training sessions on key data science topics such as Python/R programming, data manipulation, data visualization, machine learning, deep learning, and statistics. Develop comprehensive lesson plans, course materials, and practical projects tailored to the curriculum. Provide hands-on guidance on real-world datasets and tools such as Jupyter Notebook, TensorFlow, PyTorch, and scikit-learn. Mentor students, resolve doubts, and provide constructive feedback to improve their skills. Stay updated with the latest industry trends, tools, and techniques and incorporate them into the training modules. Evaluate students' performance through tests, assignments, and practical projects and provide regular progress reports. Collaborate with the academic team to refine and update the curriculum to ensure relevance to the industry. Required Skills and Qualifications Bachelor's or Master’s degree in Computer Science, Data Science, Statistics, or a related field. Proven experience as a Data Science Trainer or in a similar role. Proficiency in data science tools and libraries (e.g., Python, R, pandas, NumPy, Matplotlib, SQL). Hands-on experience with machine learning frameworks and tools such as TensorFlow, PyTorch, scikit-learn, etc. Strong understanding of statistics, probability, and linear algebra concepts. Excellent communication and presentation skills. Ability to simplify complex concepts for students of varying skill levels. Passion for teaching and mentoring aspiring data scientists. Preferred Skills Experience working on real-world data science projects. Knowledge of big data tools like Hadoop, Spark, or Tableau. Experience in cloud platforms like AWS, Google Cloud, or Azure. Industry certifications in data science or related fields. Why Join Us? Opportunity to shape the next generation of data scientists. Flexible work environment with competitive pay. Access to advanced tools and resources for training and professional growth. Collaborative and innovative culture. Job Types: Full-time, Permanent, Fresher Pay: ₹200,000.00 - ₹260,000.00 per year Benefits: Paid time off Schedule: Day shift Supplemental Pay: Performance bonus Shift allowance Yearly bonus Ability to commute/relocate: Peelamedu, Coimbatore, Tamil Nadu: Reliably commute or planning to relocate before starting work (Preferred) Experience: total work: 1 year (Preferred) Work Location: In person

Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us. This role is part of the Home team within the Product Analytics and Experimentation organization. The team supports the Product team by providing insights and incrementally measurement to help inform decisions on product features. Our team is looking for an established performer who consistently applies analytical capabilities, principles, and playbooks to solve business problems, with moderate guidance and direction. The role involves regular interaction with stakeholders up to the Senior Manager level. In This Role, You Will Extract and integrate data from multiple sources to support model building and analytics. Design and recommend both simple and complex experiments (e.g., A/B, pre/post, causal impact) to address business questions. Build basic models (e.g., linear, logistic, clustering) and select appropriate data structures and formats. Develop and maintain basic data pipelines and workflows that support modeling tasks. Work with stakeholders in an iterative, collaborative process to refine project scope and requirements. Apply business knowledge to shape modeling questions, select features, and guide decisions. Deliver clear and concise data stories and visualizations that support decision-making. Automate recurring reporting and dashboarding tasks across multiple platforms (web, app, geo). Share documentation, code, and project artifacts (e.g., executive summaries, tech docs, visualizations) with relevant audiences. Communicate project goals, methods, caveats, and insights to both technical and non-technical stakeholders. Collaborate openly with analytics peers through brainstorming, peer review, and knowledge sharing. Train and enable stakeholders to use dashboards and self-service tools; promote data literacy. Troubleshoot and resolve data issues and ensure efficient query and pipeline performance. Uphold best practices for code sharing and documentation using tools like GitHub, IEX, and Confluence. Continuously seek feedback and apply it to improve current and future projects. Experience Experience and qualifications: 1-2 years of experience in a data analytics role for Bachelor’s/Master’s graduates (preferably in Mathematics or a scientific discipline), or 2+ years in a comparable professional setting. Proven track record of delivering data-driven insights and recommendations that led to business impact or performance improvements. Technical Skills Intermediate proficiency in R, Python, or SQL for analyzing, structuring, and visualizing large datasets. Competent in extracting, transforming, and combining data from multiple sources. Able to build basic models (e.g., linear/logistic regression, clustering) and support them with appropriate data formats. Experienced in writing efficient, reusable code and creating basic data pipelines. Familiarity with tools like GitHub, IEX, and Confluence for code sharing and documentation. Working knowledge of query optimization and data quality best practices. Statistical & Analytical Knowledge Basic understanding of probability, descriptive statistics (e.g., ANOVA, regression), and frequentist concepts. Ability to design and interpret experiments (e.g., A/B, pre/post, causal impact). Capable of framing business problems as analytical tasks and selecting suitable methodologies. Business & Domain Knowledge Strong business acumen with the ability to align analytics to strategic objectives. Understanding of key data sources, their business context, and appropriate use in modeling. Ability to identify relevant features and guide model design decisions. Communication & Collaboration Strong communication and influencing skills, with experience tailoring insights to both technical and non-technical audiences. Skilled in creating clear, audience-appropriate data visualizations, with awareness of inclusive design principles. Collaborative team player open to feedback, peer review, and knowledge sharing. Mindset & Problem Solving Demonstrated critical thinking and curiosity with a proactive, solutions-focused approach. Comfortable working iteratively and independently, adjusting based on feedback and findings. Strong skills in information gathering, problem solving, and continuous learning. Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Vrbo®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, CarRentals.com™, and Expedia Cruises™. © 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group’s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs. Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age. Show more Show less

About Aviso AI: Aviso AI is revolutionizing enterprise sales intelligence with its cutting-edge AI solutions for forecasting, deal guidance, and revenue operations. By leveraging AI and machine learning, we transform how enterprise teams operate, allowing them to make data-driven decisions, optimize sales strategies, and increase productivity. We are looking for a Senior Data Scientist who is experienced in Natural Language Processing (NLP) and Generative AI to join our team. In this role, you will work closely with operations, engineering, sales, product, and customer success teams to design, build, and deploy sophisticated AI solutions that delight our customers and solve critical business challenges. You should be passionate about working on real-world enterprise problems, developing AI models that leverage large-scale data, and ensuring the scalable delivery of these models. What You’ll Do: AI Model Development : Design and implement cutting-edge NLP and Generative AI models, leveraging state-of-the-art techniques such as GPT, BERT, and other transformer-based architectures to tackle text generation, summarization, sentiment analysis, and conversational AI problems. Real-World Business Problem Solving : Work closely with Aviso's leadership, product teams, and customer success teams to architect and deploy AI-driven solutions that meet customer requirements and solve complex enterprise challenges in sales, CRM, and revenue operations. Cross-Functional Collaboration : Act as a bridge between data science, engineering, and product teams to develop and enhance Aviso AI’s platform, ensuring a seamless integration of AI models into production systems. Machine Learning Model Lifecycle : Lead the end-to-end process of building, evaluating, and improving machine learning models, ensuring their robustness and scalability. You will handle model deployment in production, monitor performance, and iterate based on real-world data and feedback loops. Conversational Intelligence : Enhance our conversational intelligence platform by integrating next-generation NLP and Deep Learning capabilities, making it more intelligent and context-aware to improve sales and marketing team performance. Innovation and Research : Continuously evaluate and adopt the latest AI advancements. Innovate new solutions that enhance Aviso’s existing tools and develop novel approaches for predictive and prescriptive analytics in the sales domain. Production-Ready Code : Write clean, production-quality code that integrates seamlessly into the Aviso AI infrastructure. Ensure the reliability of the models by implementing rigorous testing, validation, and monitoring processes. Customer-Centric Development : Work closely with product and design teams to ensure that the AI solutions are intuitive and solve specific customer needs. Provide feedback loops to improve both internal tools and client-facing features. Feature Engineering & Data Handling : Tackle large datasets (text, image, speech) and apply feature engineering techniques to ensure that data is well-prepared for model training and optimization. What We’re Really Looking For: Education : Master’s or PhD in Computer Science, Data Science, AI, Machine Learning, Mathematics, or a related field. Experience : 5+ years of professional experience in data science, machine learning, and AI development, with a focus on NLP and Generative AI . Deep expertise in transformer-based architectures like GPT, BERT, T5, or similar. Prior experience with text mining, speech processing, and developing conversational agents. Technical Skills : Proficiency in programming languages like Python , with strong experience in machine learning libraries (e.g., TensorFlow, PyTorch, Hugging Face Transformers). Hands-on experience with NLP tools such as NLTK, spaCy, or Stanford NLP. Strong background in deep learning, neural networks, and generative AI models. Expertise in applying unsupervised and supervised learning techniques, classification, recommendation, forecasting, and regression. Familiarity with data engineering , feature engineering, and working with large and diverse datasets (structured and unstructured). Core Competencies : A creative thinker capable of tackling complex business problems with data-driven solutions. Exceptional problem-solving skills and a deep understanding of probability, statistics, and model evaluation. Ability to translate business objectives into actionable data science projects and clearly communicate technical concepts to varied audiences. Experience in Sales Intelligence : Previous experience in building AI models for CRM systems (Accounts, Contacts, Opportunities, Leads) and improving lead conversion and deal closures is highly desired. Cloud & MLOps Experience : Experience deploying AI models in cloud environments such as AWS, GCP, or Azure and applying MLOps best practices for continuous model improvement and scalability. Why Join Aviso AI? At Aviso AI, you’ll work in a collaborative environment alongside talented engineers, product managers, and data scientists. We’re committed to pushing the boundaries of AI and delivering industry-leading solutions that transform how enterprise sales teams operate. You’ll have the opportunity to work on exciting projects that apply advanced AI to real-world business problems and see the direct impact of your work. Show more Show less

We are seeking a Lead Data Scientist to guide data-driven strategies through leadership in analytical projects, the development of advanced predictive models, and the discovery of actionable insights. This position involves using advanced data science approaches, collaborating with cross-functional teams, and mentoring junior peers while shaping the organization’s data science direction. Responsibilities Analyze large-scale datasets to identify trends, patterns, and insights that drive business growth Develop predictive models and machine learning algorithms to address complex problems and improve decision-making processes Uphold data quality, accuracy, and consistency by ensuring datasets are properly prepared and cleaned Design scalable data pipelines to support extensive data processing needs, optimizing them for performance Collaborate with data engineers and developers to deploy and integrate machine learning models into production environments Explore advancements in data science, machine learning, and artificial intelligence to implement innovative approaches Perform exploratory data analysis to uncover opportunities that drive improvement and added business value Help establish and document data science frameworks, methodologies, and best practices for internal use Mentor junior data scientists to foster development, skill building, and knowledge exchange within the team Present technical findings and insights clearly to both technical and non-technical audiences Requirements More than 5 years of experience in data science, statistical modeling, and machine learning At least 1 year of leadership experience in relevant roles Proficiency in Python and SQL, with familiarity with machine learning frameworks Solid understanding of statistics, probability, and hypothesis testing for practical applications Competency in data preprocessing techniques, including data wrangling and feature engineering Skills in data visualization tools like Power BI to convey results effectively Familiarity with Agile methodologies and effective collaboration within cross-functional teams Problem-solving ability to align data science approaches with critical business objectives Background in translating complex analytical findings into actionable business strategies English communication skills at a B2+ level Nice to have Expertise in deep learning methods and neural networks Knowledge of utilizing cloud platforms for data processing and storage Understanding of data governance policies, compliance, and privacy regulations in enterprise environments Familiarity with advanced technologies like natural language processing (NLP) or computer vision techniques We offer International projects with top brands Work with global teams of highly skilled, diverse peers Healthcare benefits Employee financial programs Paid time off and sick leave Upskilling, reskilling and certification courses Unlimited access to the LinkedIn Learning library and 22,000+ courses Global career opportunities Volunteer and community involvement opportunities Opportunity to join and participate in life of EPAM's Employee Resource Groups EPAM Employee Groups Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn Show more Show less

We are seeking a Lead Data Scientist to shape our data strategies by spearheading analytical initiatives, building sophisticated predictive models, and uncovering actionable insights to drive growth. This position requires applying advanced data science methodologies, working collaboratively across teams, and guiding junior staff while influencing the strategic direction of the organization’s data science practices. Responsibilities Analyze large-scale datasets to identify trends, patterns, and insights that drive business success Develop predictive models and machine learning algorithms to address complex challenges and strengthen decision-making Establish, monitor, and maintain high data quality by preparing and cleaning datasets for utilization Design and optimize scalable data pipelines tailored to handle extensive data workloads Collaborate with data engineers and software developers to deploy and operationalize machine learning models into production environments Research advancements in data science, AI, and machine learning to introduce innovative solutions Identify optimization opportunities through exploratory data analysis Document and establish internal methodologies, frameworks, and best practices for data science initiatives Mentor junior data scientists, driving professional growth and knowledge-sharing for team cohesion Deliver clear and impactful presentations of technical findings to diverse stakeholders with varying levels of technical expertise Requirements 5+ years of experience within data science, machine learning, and statistical modeling 1+ years of proven leadership in a relevant capacity Proficiency in Python and SQL, with practical experience in machine learning frameworks Strong understanding of statistics, probability, and hypothesis testing in real-world applications Competency in data preprocessing techniques, including data wrangling and feature engineering Skills in leveraging tools like Power BI to create impactful data visualizations Familiarity with Agile workflows and adeptness at collaborating within cross-functional teams Exceptional problem-solving capabilities to align analytics with critical business goals Background in conveying advanced analytical findings into actionable strategies for stakeholders Fluent English ability at a B2+ level Nice to have Proficiency in deep learning approaches and neural network design Knowledge of cloud-based platforms for efficient data storage and processing Understanding of regulations around data governance, compliance, and privacy policies within enterprise environments Familiarity with specialized techniques like natural language processing (NLP) or computer vision We offer International projects with top brands Work with global teams of highly skilled, diverse peers Healthcare benefits Employee financial programs Paid time off and sick leave Upskilling, reskilling and certification courses Unlimited access to the LinkedIn Learning library and 22,000+ courses Global career opportunities Volunteer and community involvement opportunities Opportunity to join and participate in life of EPAM's Employee Resource Groups EPAM Employee Groups Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn Show more Show less

We are seeking a Lead Data Scientist to spearhead data-driven strategies by leading complex analytical projects, building predictive models, and identifying actionable business insights. This role focuses on applying advanced data science methods, collaborating with cross-functional teams, mentoring junior team members, and shaping the organization’s data science roadmap. Responsibilities Analyze large-scale datasets to uncover actionable trends, patterns, and opportunities for growth Develop cutting-edge predictive models and implement machine learning algorithms to address strategic business challenges Ensure accurate and consistent datasets by conducting data preparation, cleaning, and verification Design scalable data pipelines to manage extensive data processing requirements and improve workflows Collaborate with data engineers and software developers to operationalize machine learning models effectively Explore recent advancements in data science, machine learning, and artificial intelligence to drive innovation Perform exploratory data analysis to identify potential areas for optimization and enhanced decision-making Establish and document internal frameworks and best practices to standardize the organization’s data science processes Provide mentorship and leadership to junior data scientists, fostering skill enhancement and professional growth Translate technical findings into insights by effectively communicating results to both technical and non-technical audiences Requirements 5+ years of experience working in data science, statistical modeling, and machine learning 1+ years of leadership experience in relevant fields Proficiency in Python and SQL, along with expertise in machine learning frameworks Strong understanding of statistics, probability, and hypothesis testing with practical applications Competency in data preprocessing techniques, including data wrangling and feature engineering Skills in creating data visualizations using tools like Power BI to represent findings effectively Familiarity with Agile methodologies and the ability to collaborate within interdisciplinary teams Exceptional problem-solving capabilities geared toward delivering business-aligned data solutions Ability to translate technical data into meaningful strategies for stakeholders B2+ level fluency in English with strong written and verbal communication Nice to have Background in deep learning and neural network architectures Knowledge of cloud-based platforms for data processing and storage solutions Understanding of enterprise-level data governance, compliance, and privacy standards Familiarity with specialized techniques like natural language processing (NLP) or computer vision We offer International projects with top brands Work with global teams of highly skilled, diverse peers Healthcare benefits Employee financial programs Paid time off and sick leave Upskilling, reskilling and certification courses Unlimited access to the LinkedIn Learning library and 22,000+ courses Global career opportunities Volunteer and community involvement opportunities Opportunity to join and participate in life of EPAM's Employee Resource Groups EPAM Employee Groups Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn Show more Show less