74 Statistical Models Jobs

As a Vice President - Data Scientist at Citi, you will be part of the Citi Analytics & Information Management (AIM) team, a global community that connects and analyzes information to create actionable intelligence for business leaders. Your role will involve focusing on the development and deployment of advanced Machine Learning and Deep Learning models within the financial services industry. **Responsibilities:** - Work with large and complex data sets to evaluate, recommend, and support the implementation of business strategies - Identify and compile data sets using tools like SQL and Access to predict, improve, and measure the success of key business outcomes - Document data requirements, data collection/processing/cleaning, and exploratory data analysis - Assess risk when making business decisions to safeguard Citigroup and its assets **Qualifications:** - 15+ years of experience in Analytics/Data Scientist in the financial services industry - Experience with natural language processing (NLP) and natural language generation (NLG) - Working experience in a quantitative field, specifically in the Financial/Credit Card industry - Proven track record of designing, developing, and deploying complex machine learning and deep learning models - Strong proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras - Solid understanding of machine learning algorithms, data structures, and software engineering principles - Excellent communication and interpersonal skills **Education:** - Masters/Bachelors/PhD degree in Statistics, Economics, Finance, Mathematics, or a related quantitative field; Engineering/MBA background from a premier institute At Citi, you will have access to programs and services for your physical and mental well-being, opportunities for learning and development, and a variety of programs to help you balance work and life. Working at Citi means joining a global family of dedicated individuals and having the chance to grow your career, give back to your community, and make a real impact. 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, you can review Accessibility at Citi. Take the next step in your career and apply for this role at Citi today.,

Join us as a WCR Model Owner Delegate - VP. The role requires close collaboration with the Model Owner and the heads of various departments including Credit Risk, Quantitative Analytics, Front Office, and Technology to manage our extensive and highly material suite of wholesale credit risk models (PD, EAD, LGD) ensuring that both the business and regulatory risk arising from these models and associated systems are effectively controlled and the models perform as required. The successful applicant will lead selected activities across our multi-year wholesale credit risk IRB models replacement programme as well as supporting the Model Owner by taking ownership of day to day aspects of managing our current inventory of credit models. In this role, you will work with the Model and Rating System Owners and other key partners to deliver new IRB models and associated systems, in line with commitments made to the regulator(s). You will be responsible for managing and maintaining the current model inventory in line with Model Risk Policy, including presenting at senior models and rating system related committees. It will be essential to keep abreast with regulatory developments, proactively responding to any implications for IRB modeling. Additionally, you will sponsor/support other non-model, business change projects that may impact the firm's IRB Permissions. Developing and maintaining a strong network and close working relationships with key stakeholders across the BI businesses and functional areas will also be a key aspect of your role to ensure best-in-class and consistent approaches are used across the firm. The ideal candidate for the position should have a quantitative academic and/or professional background with suitable and directly relevant experience in developing or validating empirical models, ideally in a wholesale credit context. Understanding the business portfolios within which those models are used will also be crucial for success. To excel as a WCR Model Owner Delegate - VP, you should possess excellent written and verbal communication skills, capable of digesting and conveying complex information effectively. Proven problem-solving, self-motivation, and decision-making skills are essential, enabling you to break down complex issues and think creatively to deliver practical solutions. A working knowledge of statistical models such as linear and logistic regression and associated statistical tests, gained through suitable experience in prior roles managing/developing related models, will be beneficial. A strong understanding of the fundamentals of Wholesale Credit Risk and the Internal Ratings Based approach to RWA measurement is required. Strong managerial and collaborative skills are also important, inspiring and encouraging personal excellence within and outside the team. A Post Graduate or Masters degree is a necessary qualification for this role. You may be assessed on key critical skills relevant for success in the role, such as risk and controls, change and transformation, business acumen, strategic thinking, digital and technology, as well as job-specific technical skills. Location: Nirlon, Mumbai. Purpose of the role: To design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making. Accountabilities: - Design analytics and modeling solutions to complex business problems using domain expertise. - Collaborate with technology to specify any dependencies required for analytical solutions, such as data, development environments, and tools. - Development of high-performing, comprehensively documented analytics and modeling solutions, demonstrating their efficacy to business users and independent validation teams. - Implementation of analytics and models in accurate, stable, well-tested software and work with technology to operationalize them. - Provision of ongoing support for the continued effectiveness of analytics and modeling solutions to users. - Demonstrate conformance to all Barclays Enterprise Risk Management Policies, particularly Model Risk Policy. - Ensure all development activities are undertaken within the defined control environment. Vice President Expectations: - Contribute or set strategy, drive requirements, and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/processes; deliver continuous improvements and escalate breaches of policies/procedures. - Advise key stakeholders, including functional leadership teams and senior management on functional and cross-functional areas of impact and alignment. - Manage and mitigate risks through assessment, in support of the control and governance agenda. - Collaborate with other areas of work, for business-aligned support areas to keep up to speed with business activity and the business strategies. - Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions. - Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset to Empower, Challenge, and Drive the operating manual for how we behave.,

As an intern at Primetrade.ai, you will be responsible for developing Python programs for web scraping, data collection, and preprocessing from various web sources. Additionally, you will assist in designing and implementing trading algorithms using APIs like Binance, as well as conduct data analysis to identify trading patterns and trends from blockchain platforms. You will have the opportunity to collaborate on creating algorithms for trading, integrating machine learning and statistical models. Moreover, you will be tasked with automating data collection, processing, and trading operations, as well as extracting and analyzing blockchain data to monitor trader behavior and performance. Furthermore, you will play a key role in generating insightful reports and visualizations on performance metrics. Primetrade.ai is a niche AI and blockchain venture studio that supports multiple product startups in the cutting-edge fields of AI and blockchain.,

The Analytics & Information Management team at Citi is seeking an Anti Money Laundering (AML) Independent Validation (IV) analyst to join the team in Bangalore. As an IV analyst, you will be responsible for conducting independent validation on AML scenarios, statistical analysis, data visualizations, and data processing in alignment with global standards and regulatory guidelines. Your role will involve presenting findings clearly both in written reports and verbally to stakeholders. To excel in this role, you should have a background in statistics and/or mathematics, with experience in data analysis and data mining being advantageous. Fluency in English, strong communication skills, and the ability to create formal statistical documentation are essential. Knowledge of banking, finance, and AML practices is preferred. Key responsibilities include performing independent validation of AML scenarios, applying statistical methods to analyze data, presenting validation outcomes to stakeholders, extracting and reporting data from databases, and ensuring data quality and reliability. Additionally, you will be expected to conduct annual performance assessments and contribute to process improvements. The ideal candidate will have 3-5 years of experience in the analytics industry, previous experience in financial services, familiarity with AML monitoring systems, and proficiency in tools such as SAS, SQL, Python, Excel, and VBA. A basic understanding of Big Data/Hadoop architecture, segmentation, clustering techniques, and statistical models is desirable. Strong analytical skills, the ability to work well in a team, and a proactive attitude towards innovation are also important qualities for this role. If you possess a Master's degree in a numerate subject and meet the qualifications mentioned above, we encourage you to apply for this full-time position with Citi. Join us in our commitment to diversity and equal opportunity in the workplace.,

As a Vice President-Algo.Trading Quant at HSBC, you will play a crucial role in delivering next-generation execution algorithms and sophisticated performance analysis. Your expertise will provide thought leadership to a team of front office quants conducting quantitative research around equity execution. In this role, you will offer mentorship, guidance, and vision to junior team members, ensuring team cohesion and success. Your responsibilities will include showcasing team deliveries and strengths to global counterparts, fostering strong team rapport. With hands-on interaction with high-frequency data and statistical models, you will contribute significantly to the innovation and advancement of trading strategies. To excel in this position, you are required to possess a high degree of intellectual curiosity, excellent communication skills, and an enterprising mindset. A graduate, post-graduate, or PhD from a top-tier university in applied mathematics, statistics, or engineering is essential. Proficiency in programming, particularly in Python or any other object-oriented programming language, is necessary. Experience with databases such as KDB and MongoDB, along with a strong command of machine learning techniques, will be key to your success in this role. By joining HSBC, you will be part of one of the largest banking and financial services organizations globally, with operations in 62 countries and territories. You will contribute to enabling businesses to thrive, economies to prosper, and individuals to fulfill their aspirations. Your contributions will be valued, and you will have the opportunity to make a real impact. If you are seeking a career where you can leverage your skills and expertise to drive innovation and success, HSBC is the place for you. At HSBC, you will achieve more, and your personal data will be handled in accordance with our Privacy Statement, available on our website. Join us in shaping the future of finance and making a difference in the world of banking.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. We are counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself and contribute to creating a better working world for all. As a Tech & AI Lead Associate Director at EY, you will be part of the Global Analytics team, working in a small, agile analytics team within Global Finance serving teams across EY. Your role will involve leading as the Tech & AI Lead, responsible for identifying and implementing opportunities to leverage AI to provide actionable insights across EY. You will utilize your knowledge of AI and experience in a wide range of tools and technologies to create efficient and scalable solutions across all operations. Your key responsibilities will include ensuring the analytics team effectively utilizes the latest GenAI models and technologies, reviewing the tech stack, proposing alternatives where necessary, and enhancing the use of AI to improve operational processes. You will lead projects that provide innovative, data-driven perspectives on key business questions, assisting in developing narratives to guide investments across the organization. In this role, you will gather requirements from key business stakeholders, develop innovative solutions, lead global project teams, provide technical direction, and create compelling deliverables to communicate key insights and recommendations to senior audiences. Additionally, you will mentor junior colleagues and peers in their technical development through training sessions and knowledge sharing. To qualify for this role, you must hold a strong academic record with a PhD or Masters degree in Machine Learning & AI, along with leading knowledge and experience in applying emerging GenAI models & tech. You should have demonstrable experience in relevant technical roles, including data insight/analytics roles, extensive experience across the software development life cycle, proficiency in Python and SQL, and experience in decision-making models for better business decisions. Ideally, you will also have experience in automation, data visualization applications, statistical modeling, handling missing data, building interactive dashboards, working in an agile environment, and strategy functions. EY offers a competitive remuneration package, flexible working arrangements, career development opportunities, and a supportive work environment to help you progress your career in a way that suits your needs. Join us in building a better working world at EY.,

We are looking for a talented R Analytics professional to join our analytics team. You should have a strong background in data analysis, statistical modeling, and proficiency in the R programming language. Your main responsibilities will include analyzing complex datasets, providing insights, and developing statistical models to support business decisions. You will be expected to utilize R programming to analyze large and complex datasets, perform data cleaning, transformation, and analysis. Additionally, you will be responsible for developing and implementing statistical models such as regression, time series, and classification to provide actionable insights. Conducting exploratory data analysis (EDA) to identify trends, patterns, and anomalies is also a key part of the role. Furthermore, you will need to visualize data through plots, charts, and dashboards to effectively communicate results to stakeholders. Collaboration with cross-functional teams to define business problems and develop analytical solutions is essential. Building and maintaining R scripts and automation workflows for repetitive tasks and analysis is also part of the job. You should stay updated with the latest developments in R packages and data science techniques. Presenting findings and insights to stakeholders through clear, concise reports and presentations is crucial. Providing technical support and guidance to data analysts and scientists on R-related issues, troubleshooting and resolving R code errors and performance issues, developing and maintaining R packages and scripts to support data analysis and reporting, and collaborating with data analysts and scientists to design and implement data visualizations and reports are also part of the responsibilities. Qualifications: - Bachelor's/Master's degree in Statistics, Mathematics, Data Science, Computer Science, or a related field. - Minimum 3-5 years of experience in a senior role specifically focusing on R Language, R Studio, and SQL. - Strong knowledge of statistical techniques (regression, clustering, hypothesis testing, etc.). - Experience with data visualization tools like ggplot2, shiny, or plotly. - Familiarity with SQL and database management systems. - Knowledge of machine learning algorithms and their implementation in R. - Ability to interpret complex data and communicate insights clearly to non-technical stakeholders. - Strong problem-solving skills and attention to detail. - Familiarity with version control tools like Git is a plus.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. As a Tech And AI Lead Associate Director at EY, you will have the opportunity to work in a small, agile analytics team within Global Finance, serving teams across EY. Your role will involve working with EY's global leadership to ensure that the best data and analytics-driven insights are used in strategic and operational decision-making across the firm. You will lead the Tech & AI initiatives within the analytics team, identifying and implementing opportunities to leverage AI for actionable insights across EY. Your responsibilities will include using your knowledge of AI and experience in various tools and technologies to develop efficient and scalable solutions. You will lead projects that provide innovative, data-driven perspectives on key business questions, shaping narratives that guide investments across the business. Key Responsibilities: - Ensure the analytics team utilizes the latest GenAI models and technologies effectively - Review the tech stack, architecture, and models to propose commercially effective alternatives - Lead projects such as the GenAI Insight Portal, integration of GenAI functionality, design of communication/alert systems, recommendation systems, process automation, and implementation of new technologies - Gather requirements from stakeholders, develop innovative solutions, lead project teams, provide technical direction, and create compelling deliverables for senior audiences - Coach and mentor junior colleagues in their technical development through training sessions and knowledge sharing Skills and Attributes: - Hold a PhD or Masters level degree in Machine Learning & AI - Experience in applying emerging GenAI models & tech - Extensive experience in data insight/analytics roles, software development life cycle, Python, SQL, database design, version control systems, decision-making models, stakeholder engagement, data storytelling, and project management - Prioritization, time management, and leadership skills - Additional experience in automation, data visualization, statistical modeling, handling missing data, interactive dashboards, agile environment, and strategy function is desirable Working at EY: EY is committed to being an inclusive employer with flexible working arrangements and a competitive remuneration package. You'll receive support for career development, coaching, feedback, and opportunities to progress your career while maintaining a balance between work and personal priorities. EY offers a comprehensive Total Rewards package and benefits tailored to your needs, including holidays, health, well-being, insurance, savings, and various discounts and promotions. Join EY in building a better working world, where diverse teams across over 150 countries provide trust through assurance, help clients grow, transform, and operate, and find new answers to complex global issues.,

Join Us as a Market Research Intern at Future Market Insights (FMI)! Future Market Insights (FMI) is a leading provider of syndicated and custom research, helping global businesses across Chemicals, Materials, Energy, Technology, and Retail. With headquarters in London and Dubai and a strong presence in India (Pune), we deliver insights that power smarter decisions worldwide. Were looking for an efficient, detail-oriented Market Research Intern to support our growing team. If you have a passion for data, analysis, and global markets this role is for you! Responsibilities Create market research reports across industries (Chemicals, Energy, Electronics, Food Ingredients, etc.) Assist in report structures (TOC, scope, frameworks) and ensure timely delivery Conduct primary & secondary research to identify trends, opportunities, and market gaps Extract and analyze data from diverse databases & sources Conduct Market Analysis using statistical models Qualifications Graduates / Postgraduates in Physics, Chemistry, Mathematics, or Statistics Strong analytical and critical thinking skills Good writing, communication, and presentation skills Excellent Excel and PPT skills Location: Pune (Full-time internship) Website: www.futuremarketinsights.com If youre eager to kickstart your career in market research and consulting, apply now and grow with us at FMI! Show more Show less

Machine Learning Scientist II, Predictive Search & Guidance Location: Candidates for this position are preferred to be based in Bangalore, India and will be expected to comply with their team&aposs hybrid work schedule requirements. Who we are Wayfair is moving the world so that anyone can live in a home they love a journey enabled by more than 3,000 Wayfair engineers and a data-centric culture. The Search, Marketing, and Recommendations technology science team (SMART) builds and owns all the Machine learning (ML) products that power all search, marketing, and recommendations technology across Wayfair. Our algorithms tackle a varied & broad spectrum of challenges in the Wayfair marketplace; from empowering suppliers to easily add products to our catalog, to enabling our customers to discover and purchase a vast & diverse assortment of home goods, to driving marketing experiences customers love all at web scale. We are looking for machine-learning scientists for research and development of the ML systems that power our real-time Search Type-ahead, Search Guidance, Query Refinement and Recommendation, and Query Understanding and Interpretation capabilities. In this role, youll partner with fellow scientists, engineers, analysts, and product managers to apply science and machine learning skills to directly impact Wayfairs revenue. What youll do Design, build, deploy and refine large-scale machine learning models and algorithmic decision-making systems that solve real-world problems for customers Work cross-functionally with commercial stakeholders to understand business problems or opportunities and develop appropriately scoped analytical solutions Collaborate closely with various engineering, infrastructure, and ML platform teams to ensure adoption of best-practices in how we build and deploy scalable ML services Identify new opportunities and insights from the data (where can the models be improved what is the projected ROI of a proposed modification) Be obsessed with the customer and maintain a customer-centric lens in how we frame, approach, and ultimately solve every problem we work on. What youll need 3+ years of industry experience with a Bachelor/ Masters degree or minimum of 1-2 years of industry experience with PhD in Computer Science, Mathematics, Statistics, or related field. Strong theoretical understanding of statistical models such as regression, clustering and ML algorithms such as decision trees, neural networks, etc. Solid understanding of algorithms for search ranking, relevance, NLP, or recommender systems. Good proficiency in the Python ML ecosystem (pandas, NumPy, scikit-learn, XGBoost, etc.). Solid hands-on expertise deploying machine learning solutions into production Strong written and verbal communication skills. Intellectual curiosity and enthusiasm about continuous learning. Nice to have Experience in e-commerce, or online search systems. Knowledge of modern NLP techniques (transformers, embeddings, semantic search). Experience applying Generative AI / LLMs (e.g., GPT, LLaMA) to real-world problems such as search, personalization, or content generation. Experience with deep learning frameworks like PyTorch. Familiarity with vector databases, information retrieval frameworks (e.g., Elasticsearch, Vespa) Familiarity with GCP (or AWS, Azure), ML model development frameworks, ML orchestration tools (Airflow, Kubeflow or MLFlow) Experience with Apache Spark Ecosystem (Spark SQL, MLlib/Spark ML). About Wayfair Inc. Wayfair is one of the worlds largest online destinations for the home. Whether you work in our global headquarters in Boston, or in our warehouses or offices throughout the world, were reinventing the way people shop for their homes. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If youre looking for rapid growth, constant learning, and dynamic challenges, then youll find that amazing career opportunities are knocking. No matter who you are, Wayfair is a place you can call home. Were a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair and world for all. Every voice, every perspective matters. Thats why were proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, genetic information, or any other legally protected characteristic. Your personal data is processed in accordance with our Candidate Privacy Notice ( https://www.wayfair.com/careers/privacy ). If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us at [HIDDEN TEXT] . Show more Show less

What's the role At HERE we take it upon ourselves to be the change we wish to see. We create solutions that fuel innovation, provide opportunity and foster inclusion to improve people's lives. If you are inspired by an open world and driven to create positive change, join us. Learn more about us on our YouTube Channel. The Lead Data Scientist in this team would have to be passionate about innovating and developing machine learning and data analytics solutions to build our industry-leading map. We provide the opportunity to collaborate with an energetic and dedicated team that works on cutting-edge technology to create tools and services. The candidate will work with researchers, developers, architects, IT to develop, deploy, and maintain applications in multiple environments. Responsibilities: Help design and build the next iteration of process automation in HERE Core Map processes employing a highly scalable Big Data infrastructure and machine learning as applied to global-scale digital map-making. Build and test analytic and statistical models to improve a wide variety of both internal data-driven processes for map-making data decisions and system control needs. Act as an expert and evangelist in areas of data mining, machine learning, statistics, and predictive analysis and modeling. Function as a predictive modeling or application team lead on Core Map projects. Who are you MS or PhD in a discipline such as Statistics, Applied Mathematics, Computer Science, or Econometrics with an emphasis or thesis work on one or more of the following: computational statistics/science/engineering, data mining, machine learning, and optimization. Minimum of 8+ years related professional experience. Knowledge of data mining and analytic methods such as regression, classifiers, clustering, association rules, decision trees, Bayesian network analysis, etc. Should have expert-level knowledge in one or more of these areas. Knowledge of Computer Vision, Deep Learning and Point Cloud Processing algorithms. Proficiency with a statistical analysis package and associated scripting language such as Python, R, Matlab, SAS, etc. Programming experience with SQL, shell script, Python, etc. Knowledge of and ideally some experience with tools such as Pig, Hive, etc., for working with big data in Hadoop and/or Spark for data extraction and data prep for analysis. Experience with and demonstrated capability to effectively interact with both internal and external customer executives, technical and non-technical to explain uses and value of predictive systems and techniques. Demonstrated proficiency with understanding, specifying and explaining predictive modeling solutions and organizing teams of other data scientists and engineers to execute projects delivering those solutions. Preferred Qualifications: Development experience with and Scala Development experience with Docker Development experience with GIS data Development experience with NoSQL (i.e. DynamoDB) What You'll Get: Challenging problems to solve Opportunities to learn cool new things Work that makes a difference in the world Freedom to decide how to perform your work Variety in the types of projects Feedback so you will know how well you are doing Collaborative, Supportive Colleagues Who are we HERE Technologies is a location data and technology platform company. We empower our customers to achieve better outcomes - from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely. At HERE we take it upon ourselves to be the change we wish to see. We create solutions that fuel innovation, provide opportunity and foster inclusion to improve people's lives. If you are inspired by an open world and driven to create positive change, join us. Learn more about us. Watch Video

Candidates for this position are preferred to be based in Bangalore and will be expected to comply with their team's hybrid work schedule requirements. Wayfair is moving the world so that anyone can live in a home they love a journey enabled by more than 3,000 Wayfair engineers and a data-centric culture. Wayfair's Advertising business is rapidly expanding, adding hundreds of millions of dollars in profits to Wayfair. We are building Sponsored Products, Display & Video Ad offerings that cater to a variety of Advertiser goals while showing highly relevant and engaging Ads to millions of customers. We are evolving our Ads Platform to empower advertisers across all sophistication levels to grow their business on Wayfair at a strong, positive ROI and are leveraging state-of-the-art Machine Learning techniques. The Advertising Optimization & Automation Science team is central to this effort. We leverage machine learning and generative AI to streamline campaign workflows, delivering impactful recommendations on budget allocation, target Return on Ad Spend (tROAS), and SKU selection. Additionally, we are developing intelligent systems for creative optimization and exploring agentic frameworks to further simplify and enhance advertiser interactions. We are looking for an experienced Senior Machine Learning Scientist to join the Advertising Optimization & Automation Science team. In this role, you will be responsible for building intelligent, ML-powered systems that drive personalized recommendations and campaign automation within Wayfair's advertising platform. You will work closely with other scientists, as well as members of our internal Product and Engineering teams, to apply your ML expertise to define and deliver 0-to-1 capabilities that unlock substantial commercial value and directly enhance advertiser outcomes. What You'll do: - Design and build intelligent budget, tROAS, and SKU recommendations, and simulation-driven decisioning that extends beyond the current advertising platform capabilities. - Lead the next phase of GenAI-powered creative optimization and automation to drive significant incremental ad revenue and improve supplier outcomes. - Raise technical standards across the team by promoting best practices in ML system design and development. - Partner cross-functionally with Product, Engineering, and Sales to deliver scalable ML solutions that improve supplier campaign performance. Ensure systems are designed for reuse, extensibility, and long-term impact across multiple advertising workflows. - Research and apply best practices in advertising science, GenAI applications in creative personalization, and auction modeling. Keep Wayfair at the forefront of innovation in supplier marketing optimization. - Collaborate with Engineering teams (AdTech, ML Platform, Campaign Management) to build and scale the infrastructure needed for automated, intelligent advertising decisioning. We Are a Match Because You Have: - Bachelor's or Masters degree in Computer Science, Mathematics, Statistics, or related field. - 9+ years of experience in building large scale machine learning algorithms. - 4+ years of experience working in an architect or technical leadership position. - Strong theoretical understanding of statistical models such as regression, clustering and ML algorithms such as decision trees, neural networks, transformers and NLP techniques. - Proficiency in programming languages such as Python and relevant ML libraries (e.g., TensorFlow, PyTorch) to develop production-grade products. - Strategic thinker with a customer-centric mindset and a desire for creative problem solving, looking to make a big impact in a growing organization. - Demonstrated success influencing senior level stakeholders on strategic direction based on recommendations backed by in-depth analysis; Excellent written and verbal communication. - Ability to partner cross-functionally to own and shape technical roadmaps - Intellectual curiosity and a desire to always be learning! Nice to have: - Experience with GCP, Airflow, and containerization (Docker). - Experience building scalable data processing pipelines with big data tools such as Hadoop, Hive, SQL, Spark, etc. - Familiarity with Generative AI and agentic workflows. - Experience in Bayesian Learning, Multi-armed Bandits, or Reinforcement Learning.,

As an Analyst Fraud Risk at Visa, you will be part of the VCA Risk Advisory Practice team responsible for delivering Risk advisory services to Visas clients across Credit Risk and Fraud Risk. Reporting to the Senior Manager Fraud Risk, India Hub, you will contribute to the delivery of Fraud Risk advisory engagements. Your expertise in Fraud Risk functional domain and risk analytics gained as a Risk practitioner and/or data scientist will be utilized to unlock business value. Your key responsibilities will include contributing to Fraud Risk Managed Services and advisory engagements across Asia Pacific, collaborating with clients to understand business problems and outcomes, delivering multiple projects within timelines and budget requirements, maintaining project documentation, and supporting the development of Fraud Risk data-driven solutions. This is a hybrid position, requiring you to work from the office two days a week and accommodate flexible working hours to cater to client and country time zones within the Asia Pacific region. You will play a key role in projects such as Fraud Rule Optimization, Fraud Authentication Rule Optimization, Authorization Optimization, STIP Optimization, and Fraud Risk Prediction/Scoring. To qualify for this role, you should have 5 or more years of work experience with a Bachelors Degree or an Advanced Degree. Preferred qualifications include technical skills such as analytical experience, proficiency in statistical techniques, and experience with data analytics tools. Business skills required include being results-oriented, analytical, a team player, and having strong communication and presentation skills. Visa has adopted a COVID-19 vaccination policy, requiring all employees based in the country where this job is located to be fully vaccinated, unless a reasonable accommodation is approved or as otherwise required by law.,

India is among the top ten priority markets for General Mills, and hosts our Global Shared Services Centre. This is the Global Shared Services arm of General Mills Inc., which supports its operations worldwide. With over 1,300 employees in Mumbai, the center has capabilities in the areas of Supply Chain, Finance, HR, Digital and Technology, Sales Capabilities, Consumer Insights, ITQ (R&D & Quality), and Enterprise Business Services. Learning and capacity-building is a key ingredient of our success. Data Scientist I - Decision Sciences About General Mills We make foodthe world loves: 100 brands. In 100 countries. Across six continents. With iconic brands like Cheerios, Pillsbury, Betty Crocker, Nature Valley, and Hagen-Dazs, we've been serving up food the world loves for 155 years (and counting). Each of our brands has a unique story to tell. How we make our food is as important as the food we make. Our values are baked into our legacy and continue to accelerate us into the future as an innovative force for good. General Mills was founded in 1866 when Cadwallader Washburn boldly bought the largest flour mill west of the Mississippi. That pioneering spirit lives on today through our leadership team who upholds a vision of relentless innovation while being a force for good.For more details check out General Mills India Center is our global capability center in Mumbai that works as an extension of our global organization delivering business value, service excellence and growth, while standing for good for our planet and people. With our team of 1800+ professionals, we deliver superior value across the areas of supply chain, digital & technology, innovation, technology & quality, consumer & market intelligence, sales strategy & intelligence, global shared services, finance shared services and Human Resources Shared Services. For more details check out Job Overview This position is part of the Decision Sciences team for CPW within CMI Mumbai. This is a global team of 90 members supporting business and enabling strategies through data-driven solutions. CPW Team is based out of Switzerland (HQ), UK and Mumbai India location. We are looking for a junior data scientist . who is passionate about the possibilities of leveraging data for informed decision-making and has demonstrated and implemented a few of those. . who not only understands the model but also the data and math behind it. Key Accountabilities 1. Develop innovative approaches to assist business partners in achieving objectives through analysis and modelling. 2. Think creatively to identify and test new sources of information that unlock additional business value. 3. Effectively communicate the why and how of data-driven recommendations to cross-functional teams, employing storytelling techniques. 4. Engineer features by leveraging business acumen to categorize, aggregate, pivot, or encode data for optimal results. 5. Utilize machine learning to develop repeatable, dynamic, and scalable models. 6. Passionately advocate for and educate others on the value and significance of data-driven decision-making and analytical methods. 7. Identify and develop long-term data science processes, frameworks, tools, and standards. 8. Collaborate as a member of the team, actively engaging with and seeking feedback from other Data Scientists. 9. Be able to explore and troubleshoot niche technologies and provide automation solutions . Minimum Qualifications 1. Should have a working knowledge of traditional ML and statistical models. 2. Ability to program in R and/or Python and SQL. 3. 3 years of related experience with a bachelor's degree or 2 years with a master's degree. 4. Experience using clustering, regression, and classification Techniques. Preferred Qualifications/ Skills/ Job Experiences Able to execute against a developed analytics plan. Actively manages stakeholder expectations. Understanding/experience in the CPG industry is desirable. Experience in basic statistical analysis, modelling, clustering, and data mining techniques to identify trends and insights. Experience with Market Mix Modeling or Campaign Effectiveness Analysis will be an added advantage. Strong number sense and ability to identify questionable data, investigate it, and address any issues. Exemplary organizational skills with attention to detail and accuracy. Familiarity with data visualization tools like Power BI. Navigate across the team to get the support needed to execute. Effective communication and a team player.

The Commercial Design & Advisory group plays a crucial role in supporting effective sales execution and Field Force resource allocation decision making for Business Franchises/ Commercial Excellence teams globally. This is achieved through the delivery of analytics-driven projects and assignments. As the Manager of Commercial Design and Advisory, you will be responsible for driving field/ commercial strategy projects in collaboration with internal customers such as country business units, regional marketing, and sales teams. Your role will involve facilitating data-enabled decision-making by providing qualitative and quantitative insights to business teams. Additionally, you will support the team in various business-related tasks, including building process documentation and knowledge repositories, as well as contributing to initiatives aimed at enhancing knowledge sharing, on-boarding, and training support for associates. Key Responsibilities: - Co-lead and support the delivery of Incentive projects for field teams, ensuring adherence to timelines and quality objectives - Serve as a subject matter expert in the Incentive functional area, enabling plan innovation and process improvement - Support the delivery of Incentive projects, including plan design, health check, governance, communications, and operations support - Communicate effectively with business stakeholders and internal teams - Conduct ad hoc incentive analytics focusing on targeted hypotheses and analytics plans - Track and improve SLAs for the Incentive team, including output quality and delivery timeliness - Support initiatives focused on team culture, values, innovation, knowledge sharing, and people growth Essential Requirements: - Graduate degree in an analytical field, Life Sciences, or Science & Technology - 5+ years of experience in SFE/business consulting or pharmaceutical company - 3+ years of experience in field Incentive projects/teams in a healthcare firm - Strong analytical thinking, problem-solving skills, and high learning agility - Proficiency in data consolidation, preparation, and analytics tools - Proactive, results-focused, and ability to provide insights that enhance productivity Desirable Requirements: - MBA/ Postgraduate in Marketing, Consulting, or Analytics - Experience with advanced data analytics, including VBA coding and statistical models Novartis is committed to creating an inclusive work environment and diverse teams that reflect the patients and communities served. Joining Novartis means becoming part of a mission to improve and extend people's lives through innovative medicine and becoming the most valued and trusted medicines company globally. If you are ready to contribute to this mission and be a part of a community that drives breakthroughs to change patients" lives, consider joining our network to stay connected and learn about career opportunities.,

You will be joining our analytics team as an R Analytics Support, where your primary responsibility will be to utilize the R programming language for analyzing complex datasets, developing statistical models, and providing actionable insights to support business decisions. In this role, you will collaborate with cross-functional teams, conduct exploratory data analysis, and visualize data through various means to effectively communicate results to stakeholders. Your key responsibilities will include utilizing R programming for data cleaning, transformation, and analysis, developing statistical models such as regression and time series, conducting exploratory data analysis to identify trends, visualizing data through plots and dashboards, and collaborating with teams to define and solve business problems. Additionally, you will be expected to build and maintain R scripts, stay updated with the latest R packages and data science techniques, and present your findings and insights through reports and presentations. To be successful in this role, you should hold a Bachelors/Masters degree in Statistics, Mathematics, Data Science, Computer Science, or a related field, with at least 3-5 years of experience in a senior role focusing on R Language, R Studio, and SQL. You should have a strong knowledge of statistical techniques, experience with data visualization tools like ggplot2 and plotly, familiarity with SQL and database management systems, and knowledge of machine learning algorithms and their implementation in R. Additionally, you should possess strong problem-solving skills, attention to detail, and the ability to interpret complex data and communicate insights clearly to non-technical stakeholders. If you have experience with version control tools like Git, it would be considered a plus. Your role will also involve providing technical support and guidance to other team members, troubleshooting and resolving R code errors and performance issues, and collaborating on the design and implementation of data visualizations and reports.,

Job Category Data Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce. About the Company - We're Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too - driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good - you've come to the right place. About the role We're looking for an experienced Data Scientist who will help us build marketing attribution, causal inference, and uplift models to improve the effectiveness and efficiency of our marketing efforts. This person will also design experiments and help us drive consistent approach to experimentation and campaign measurement to support a range of marketing, customer engagement, and digital use cases. This Lead Data Scientist brings significant experience in designing, developing, and delivering statistical models and AI/ML algorithms for marketing and digital optimization use cases on large-scale data sets in a cloud environment. They show rigor in how they prototype, test, and evaluate algorithm performance both in the testing phase of algorithm development and in managing production algorithms. They demonstrate advanced knowledge of statistical and machine learning techniques along with ensuring the ethical use of data in the algorithm design process. At Salesforce, Trust is our number one value and we expect all applications of statistical and machine learning models to adhere to our values and policies to ensure we balance business needs with responsible uses of technology. Responsibilities . As part of the Marketing Effectiveness Data Science team within the Salesforce Marketing Data Science organization, develop statistical and machine learning models to improve marketing effectiveness - e.g., marketing attribution models, causal inference models, uplift models, etc. . Develop optimization and simulation algorithms to provide marketing investment and allocation recommendations to improve ROI by optimizing spend across marketing channels. . Own the full lifecycle of model development from ideation and data exploration, algorithm design and testing, algorithm development and deployment, to algorithm monitoring and tuning in production. . Design experiments to support marketing, customer experience, and digital campaigns and develop statistically sound models to measure impact. Collaborate with other data scientists to develop and operationalize consistent approaches to experimentation and campaign measurement. . Be a master in cross-functional collaboration by developing deep relationships with key partners across the company and coordinating with working teams. . Constantly learn, have a clear pulse on innovation across the enterprise SaaS, AdTech, paid media, data science, customer data, and analytics communities. Required Skills . 8+ years of experience designing models for marketing optimization such as multi-channel attribution models, customer lifetime value models, propensity models, uplift models, etc. using statistical and machine learning techniques. . 8+ years of experience using advanced statistical techniques for experiment design (A/B and multi-cell testing) and causal inference methods for understanding business impact. Must have multiple, robust examples of using these techniques to measure effectiveness of marketing efforts and to solve business problems on large-scale data sets. . 8+ years of experience with one or more programming languages such as Python, R, PySpark, Java. . Expert-level knowledge of SQL with strong data exploration and manipulation skills. . Experience using cloud platforms such as GCP and AWS for model development and operationalization is preferred. . Must have superb quantitative reasoning and interpretation skills with strong ability to provide analysis-driven business insight and recommendations. . Excellent written and verbal communication skills ability to work well with peers and leaders across data science, marketing, and engineering organizations. . Creative problem-solver who simplifies problems to their core elements. . B2B customer data experience a big plus. Advanced Salesforce product knowledge is also a plus. Unleash Your Potential When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and , and our AI agents accelerate your impact so you can . Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world. Accommodations If you require assistance due to a disability applying for open positions please submit a request via this . Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

As a Senior Advisor in Model Risk Management at First Citizens India (FCI) office in Bangalore, you will play a crucial role in supporting the global Model Risk Management (MRM) program. Your responsibilities will include ensuring that models are appropriately designed, implemented, and managed, covering aspects such as conceptual soundness, model performance monitoring, governance, tuning, and validation. Working within the Model Risk Management (MRM) team, you will conduct independent model validations to align models with business objectives and design objectives. Your role involves verifying that models are performing as expected, identifying potential limitations, and assessing their impact. Additionally, you will be responsible for conducting annual reviews and ongoing monitoring to ensure that the models are functioning as intended. Your key deliverables will include comprehensive model validation, analyzing model inputs, evaluating model frameworks, reviewing model code, analyzing outcomes, identifying and mitigating risks, documenting and reporting findings, supporting audit and regulatory reviews, continuous learning and improvement, and interacting with key stakeholders throughout the model lifecycle. To excel in this role, you should have a strong understanding of regulatory requirements related to stress testing and capital planning, experience with statistical tools like Python and R, proficiency in SQL for data extraction, excellent problem-solving skills, attention to detail, and strategic planning abilities. Strong written and verbal communication skills, stakeholder management skills, organizational skills, and the ability to collaborate effectively with team members are essential. The ideal candidate will hold a relevant Bachelor's or Master's degree with a preference for specialization in Statistics, Mathematics, Economics, or another quantitative discipline. Additionally, you should have at least 2 years of experience in model development, model validation, or model implementation within the financial industry, proficiency in statistical methods and programming languages, knowledge of financial services/banking domain, and a strong understanding of model development and validation testing techniques. Relationship-building and collaboration with key stakeholders, including model users, owners, vendors, Model Risk Governance, and other Validators, are crucial aspects of this role. You will also be required to build relationships with data scientists, Audit, and third-party vendors to ensure effective performance evaluation and validation throughout the model lifecycle. At First Citizens India, we are committed to providing an inclusive and accessible hiring process. If you require accommodations at any stage of the process, please let us know, and we will work with you to ensure a seamless experience. We are an equal opportunity employer, dedicated to fostering a diverse and inclusive work environment.,

As a Data Scientist at our company, you will be responsible for collaborating with interdisciplinary scientists, IT, and engineering professionals to solve critical problems and support business decision-making. Your strong communication and organizational skills, along with a problem-solving attitude, will be essential in this role. To excel in this position, you should have at least 3 years of experience in analytics, particularly with big data solutions. Your expertise should encompass Statistics, Analytics, Data Science, Machine Learning, and Deep Learning. Proficiency in big data platforms such as SQL, Hadoop, Apache Spark, and programming languages like Python and R is crucial. You should be adept at working with statistical models, ML algorithms (e.g., Random Forest, SVM), Deep Learning models (e.g., CNN, RNN), and NLP. Additionally, experience in proposal building for analytics/data science solutions and hands-on data analysis to derive actionable insights will be beneficial. The ideal candidate for this role will possess a strong analytical and logical mindset, be well-organized with prioritization skills, and have an independent, self-starting attitude with ownership of tasks. You should be curious, collaborative, and keen to learn, with proficiency in English for a global team environment. A degree in fields like Statistics, Mathematics, Operations Research, Economics, Engineering, or Information Science is required for this position. Contributions on platforms like GitHub or Kaggle will be advantageous in showcasing your skills and expertise. If you have 3-8 years of relevant experience and meet the qualifications outlined above, we encourage you to apply for the position of Data Scientist with our team.,

Colt provides network, voice and data centre services to thousands of businesses around the world, allowing them to focus on delivering their business goals instead of the underlying infrastructure. Why we need this role This is a 1 year interim position covering Maternity Leave. Leading a small international team you will help us to continue our journey to build and grow our analytics capability. In this pivotal role, you will be building on existing foundations to deliver data-driven insights that inform strategic HR decisions across the globe. This is a unique opportunity to make a meaningful impact in a growing function, contributing to the development of tools, processes, and reporting that support our global workforce. We are looking for someone who brings their own fresh thinking and a proactive mindset, someone whos excited to create new solutions, drive innovation, and introduce compelling, insight-driven storytelling Join us and you will be part of a fast-growing community of like-minded experts to grow and learn alongside you in your career. What You Will Do Manage the People Analytics activities across all areas of HR and build effective and collaborative partnerships with stakeholders. Work with HR business partners and leaders of the different HR COIs to understand their objectives and establish their reporting needs and key performance indicators. Support the team to introduce visualisation and the use of Power BI adapting current dashboards and creating new solutions making insights digestible. Introduce analytical methodologies using storytelling to describe trends, patterns and insights. Influence and partner with a wide range of cross-functional stakeholders from within the HR, Colt CEO Office, IT, Finance, Data Office, Projects & Process Transformation team, as well as the wider business, to design and implement robust, globally scalable HR solutions. Work with stakeholders to build a strategy for data and analytics. Lead ad hoc projects as required, working in partnership with global stakeholders, including on-time closure of Audit actions. Champion insight driven approaches to problem solving, decision-making, and help to enhance the data and insight culture across the business. Outline, establish and ensure the delivery of high quality and timely HR reporting products to the respective HR teams. Own the development of the Global HR reporting and analytics roadmap. Ensure reporting processes and items are fully documented. Ensure appropriate access and privacy controls are in place for all reporting products within HR. Develop the Global People Analytics team members through exposure to transformation initiatives and direct coaching to maintain a high performing team. What We&aposre Looking For Skills & Experience People Analytics Leadership Experience Experience leading small to mid-sized analytics teams or cross-functional project teams. Strong program management skills: managing global initiatives, timelines, and deliverables. Proven track record of developing team capability, using data to solve HR problems: workforce planning, retention modelling, employee sentiment analysis, etc. HR Domain Expertise In-depth understanding of People functions: talent acquisition, performance management, engagement, attrition, DEI, learning & development. Familiarity with global HR practices, legal considerations, and cultural nuances. Data & Analytical Skills Proficiency in tools like SQL, Python, or R for data analysis. Expertise in HRIS systems (e.g. SAP SuccessFactors, Workday, Oracle Fusion), survey platforms (e.g. Qualtrics, Glint), and data visualization tools (e.g. Power BI, Tableau). Ability to build and interpret statistical models, predictive analytics, and advanced dashboards. Strategic & Consulting Skills Experience working closely with senior HR and business leaders to shape people strategies. Ability to influence stakeholders, present complex data clearly, and connect analytics to business outcomes. Strong storytelling skills using data. High emotional intelligence (EQ) and resiliency.? Qualifications Preferred Degrees: Statistics, Data Science, Organizational Psychology, Business Analytics, or related fields. Expertise in HRIS systems (e.g. SAP SuccessFactors, Workday, Oracle Fusion), survey platforms (e.g. Qualtrics, Glint), and data visualization tools (e.g. Power BI, Tableau). Proficiency in tools like SQL, Python, or R for data analysis. Experience in supporting setup of big data / data lake /data warehousing (e.g. GCP, AWS, Azure) for HR desirable. What We Offer You Looking to make a mark At Colt, youll make a difference. Because around here, we empower people. We dont tell you what to do. Instead, we employ people we trust, who come together across the globe to create intelligent solutions. Our global teams are full of ambitious, driven people, all working together towards one shared purpose: to put the power of the digital universe in the hands of our customers wherever, whenever and however they want. We give our people the opportunity to inspire and lead teams, and work on projects that connect people, cities, businesses, and ideas. We want you to help us change the world, for the better. Diversity and inclusion Inclusion and valuing diversity of thought and experience are at the heart of our culture here at Colt. From day one, youll be encouraged to be yourself because we believe thats what helps our people to thrive. We welcome people with diverse backgrounds and experiences, regardless of their gender identity or expression, sexual orientation, race, religion, disability, neurodiversity, age, marital status, pregnancy status, or place of birth. Most Recently We Have Signed the UN Women Empowerment Principles which guide our Gender Action Plan Trained 60 (and growing) Colties to be Mental Health First Aiders Please speak with a member of our recruitment team if you require adjustments to our recruitment process to support you. For more information about our Inclusion and Diversity agenda, visit our DEI pages. Benefits Our benefits support you through all parts of life, for both physical and mental health. Flexible working hours and the option to work from home. Extensive induction program with experienced mentors and buddies. Opportunities for further development and educational opportunities. Global Family Leave Policy. Employee Assistance Program. Internal inclusion & diversity employee networks. A global network When you join Colt you become part of our global network. We are proud of our colleagues and the stories and experience they bring take a look at Our People site including our Empowered Women in Tech. Show more Show less

As a Data Scientist with 3-8 years of experience, you will collaborate with interdisciplinary scientists, IT, and engineering professionals to solve critical problems and support business decision-making. Strong communication and organizational skills are essential, paired with a problem-solving attitude. Key expertise required for this role includes at least 3 years in analytics, particularly with big data solutions. You should have Subject Matter Expertise (SME) in Statistics, Analytics, Data Science, Machine Learning, Deep Learning, Big Data Platforms (SQL, Hadoop, Apache Spark, etc.), Programming Languages (Python and R), and Techniques such as Statistical models, ML algorithms (e.g., Random Forest, SVM), Deep Learning models (e.g., CNN, RNN), and NLP. You should be able to build proposals for analytics/data science solutions, conduct hands-on data analysis, and derive actionable insights. Experience collaborating with global teams and senior stakeholders is also valued. The ideal candidate for this role will have a strong analytical and logical mindset, be well-organized with prioritization skills, and possess an independent, self-starting attitude with ownership of tasks. You should be curious and collaborative, keen to learn, and proficient in English for a global team environment. Your educational background should include a degree in fields like Statistics, Mathematics, Operations Research, Economics, Engineering, or Information Science. Contributions on platforms like GitHub or Kaggle are advantageous for this position.,

The D. E. Shaw group is a global investment and technology development firm with more than $65 billion in investment capital as of March 1, 2025, and offices in North America, Europe, and Asia. Since our founding in 1988, our firm has earned an international reputation for successful investing based on innovation, careful risk management, and the quality and depth of our staff. We have a significant presence in the world&aposs capital markets, investing in a wide range of companies and financial instruments in both developed and developing economies. We are looking for a candidate to join our Asset Backed Strategies (ABS) team within our Financial Research group based in Bengaluru and Hyderabad, with a focus on liquid credit/collateralized loan obligations. The group works closely with the Global ABS front office to provide in-depth analytical support to the investment research and decision-making processes of the firms proprietary investment activity in the ABS markets. WHAT YOU&aposLL DO DAY-TO-DAY: The role involves synthesizing market information across US and European credit markets to develop thematic research and sector analyses; conducting primary and secondary research on single-name credit opportunities relating to existing positions and new investment ideas; and performing ongoing due diligence and surveillance of liquid credit and CLO portfolios, preparing sector commentary, and contributing to market updates. You will support detailed discussions with traders by providing macroeconomic updates, quantitative analyses, and presenting data-driven insights and reasoning. Additionally, the role requires interpreting and analysing large datasets on securities, collateral, and sector performance to generate meaningful research and analysis, as well as developing expertise with vendor resources, third-party tools, and research to enhance the evaluation of liquid credit strategies. WHO WERE LOOKING FOR: Basic qualifications: A degree in finance or equivalent (Master of Business Administration/Chartered Financial Analyst) along with 1-3 years of experience Solid knowledge of fixed income research in credit derivatives and corporate credit / CLO space Excellent technical abilities in Python and SQL Proven track record of analyzing complex datasets and applying statistical models to derive insights Experience with working independently as well as collaboratively within a team Preferred qualifications: Experience working with a fixed income strategy, either sell side or buy side Interested candidates can apply through our website: https://www.deshawindia.com/recruit/jobs/Adv/Link/AnlAsBackCLOJul25 We encourage candidates with relevant experience looking to restart their careers after a break to apply for this position. Learn about Recommence, our gender-neutral return-to-work initiative. The Firm offers excellent benefits, a casual, collegial working environment, and an attractive compensation package. For further information about our recruitment process, including how applicant data will be processed, please visit https://www.deshawindia.com/careers Members of the D. E. Shaw group do not discriminate in employment matters on the basis of sex, race, colour, caste, creed, religion, pregnancy, national origin, age, military service eligibility, veteran status, sexual orientation, marital status, disability, or any other protected class. Show more Show less

The D. E. Shaw group is a global investment and technology development firm with more than $65 billion in investment capital as of March 1, 2025, and offices in North America, Europe, and Asia. Since our founding in 1988, our firm has earned an international reputation for successful investing based on innovation, careful risk management, and the quality and depth of our staff. We have a significant presence in the world&aposs capital markets, investing in a wide range of companies and financial instruments in both developed and developing economies. We are looking for a candidate to join our Asset Backed Strategies (ABS) team within our Financial Research group based in Bengaluru and Hyderabad, with a focus on liquid credit/collateralized loan obligations. The group works closely with the Global ABS front office to provide in-depth analytical support to the investment research and decision-making processes of the firms proprietary investment activity in the ABS markets. WHAT YOU&aposLL DO DAY-TO-DAY: The role involves synthesizing market information across US and European credit markets to develop thematic research and sector analyses; conducting primary and secondary research on single-name credit opportunities relating to existing positions and new investment ideas; and performing ongoing due diligence and surveillance of liquid credit and CLO portfolios, preparing sector commentary, and contributing to market updates. You will support detailed discussions with traders by providing macroeconomic updates, quantitative analyses, and presenting data-driven insights and reasoning. Additionally, the role requires interpreting and analysing large datasets on securities, collateral, and sector performance to generate meaningful research and analysis, as well as developing expertise with vendor resources, third-party tools, and research to enhance the evaluation of liquid credit strategies. WHO WERE LOOKING FOR: Basic qualifications: A degree in finance or equivalent (Master of Business Administration/Chartered Financial Analyst) along with 1-3 years of experience Solid knowledge of fixed income research in credit derivatives and corporate credit / CLO space Excellent technical abilities in Python and SQL Proven track record of analyzing complex datasets and applying statistical models to derive insights Experience with working independently as well as collaboratively within a team Preferred qualifications: Experience working with a fixed income strategy, either sell side or buy side Interested candidates can apply through our website: https://www.deshawindia.com/recruit/jobs/Adv/Link/AnlAsBackCLOJul25 We encourage candidates with relevant experience looking to restart their careers after a break to apply for this position. Learn about Recommence, our gender-neutral return-to-work initiative. The Firm offers excellent benefits, a casual, collegial working environment, and an attractive compensation package. For further information about our recruitment process, including how applicant data will be processed, please visit https://www.deshawindia.com/careers Members of the D. E. Shaw group do not discriminate in employment matters on the basis of sex, race, colour, caste, creed, religion, pregnancy, national origin, age, military service eligibility, veteran status, sexual orientation, marital status, disability, or any other protected class. Show more Show less

Conducting research aligned with the roadmaps to de-risk, mature, and incorporate advanced AI concepts into Honeywell products, focusing on the latest advancements in generative AI, causal modeling, knowledge graphs, machine learning, and deep learning techniques. Research, design, and implement scalable AI-based solutions to address high-value and complex customer challenges, thereby fostering new growth opportunities. Lead prototyping activities to support pilot programs for research and development purposes. Collaborate with cross-functional teams to devise data-driven solutions. Take ownership of problem analysis, stakeholder engagement, solution design, front-end and back-end integration, maintenance, and support of data science and analytics solutions. Develop guidelines and standards for analytics and machine learning models, their deployment, and associated processes. You Must Have: - Bachelor's/Master's degree in Engineering, Applied Mathematics, or a related field. - Strong analytics skills, including the ability to evaluate data, derive insights, and provide recommendations. - Proficiency in manipulating data sets and constructing statistical models. - Strong problem-solving skills with a focus on product development. - Chemical engineers with APC/APM experience will have an added advantage. - Experience supporting fast-paced startup engineering teams. - In-depth knowledge of the latest trends and advancements in AI and ML, particularly in generative models and LLM (both Cloud and OnPrem). - Proficiency in programming languages and libraries. - Cloud expertise in AWS and Azure. - Proficiency in languages such as Advanced Python, pySpark. - Familiarity with frameworks like Lambda, Django, Express. - Experience with databases like Postgres, Mongo, ES. - Hands-on experience in design and development, including Automated Unit testing (pyTest), with a robust technical background to create high-performance and scalable applications. - Minimum of 4 years of relevant experience in data science-related product development.,

About Junglee Games: With over 140 million users, Junglee Games is a leader in the online skill gaming space. Founded in San Francisco in 2012 and part of the Flutter Entertainment Group, we are revolutionizing how people play games. Our notable games include Howzat, Junglee Rummy, and Junglee Poker. Our team comprises over 1000 talented individuals who have worked on internationally acclaimed AAA titles like Transformers and Star Wars: The Old Republic and contributed to Hollywood hits such as Avatar. Junglees mission is to build entertainment for millions of people around the world and connect them through games. Junglee Games is not just a gaming company but a blend of innovation, data science, cutting-edge tech, and, most importantly, a values-driven culture that is creating the next set of conscious leaders. Job overview: As our Data Scientist III, you will be a key driver of strategic and tactical data science projects. Youll partner closely with Product, Marketing, and Engineering teams to influence decisions and optimize outcomes using data, models, and experimentation. Job Location: Gurgaon Key Responsibilities: Lead complex analytics projects end-to-end: problem scoping, data wrangling, modeling, validation, and communication. Develop and deploy statistical models and machine learning solutions to improve core metrics (e.g., retention, monetization, user segmentation, etc.). Own experimentation and causal inference for product features (A/B testing, uplift modeling, etc.). Translate business problems into quantitative solutions and drive product and marketing roadmap with data insights. Collaborate with Data Engineering to design scalable data pipelines and ML deployment workflows. Qualifications & skills required: 57 years of experience in data science, preferably in B2C, gaming, consumer tech, or related industries. Strong foundation in statistics, probability, and machine learning (classification, regression, clustering, time-series, etc.). Hands-on experience with Python/R and SQL. Experience with tools like Airflow, Spark, DBT, or similar is a plus. Experience designing and analyzing experiments (A/B testing, DoE). Strong problem-solving mindset with a focus on impact and ownership. Excellent communication skills; ability to simplify complex findings for non-technical stakeholders. Be a part of Junglee Games to: Value Customers & Data - Prioritize customers, use data-driven decisions, master KPIs, and leverage ideation and A/B testing to drive impactful outcomes. Inspire Extreme Ownership - We embrace ownership, collaborate effectively, and take pride in every detail to ensure every game becomes a smashing success. Lead with Love - We reject micromanagement and fear, fostering open dialogue, mutual growth, and a fearless yet responsible work ethic. Embrace change - Change drives progress and our strength lies in adapting swiftly and recognizing when to evolve to stay ahead. Play the Big Game - We think big, challenge norms, and innovate boldly, driving impactful results through fresh ideas and inventive problem-solving. Avail a comprehensive benefits package that includes paid gift coupons, fitness plans, gadget allowances, fuel costs, family healthcare, and much more. Know more about us Explore the world of Junglee Games through our website, www.jungleegames.com . Get a glimpse of what Life at Junglee Games looks like on LinkedIn . Here is a quick snippet of the Junglee Games Offsite24 Liked what you saw so far Be A Junglee Show more Show less