410 Logistic Regression Jobs

As a Senior Scientist in Decision Sciences at Western Union, based in Pune, India, you will be a pivotal part of the team responsible for managing fraud losses and optimizing revenue opportunities for online transactions. Your role will involve developing and maintaining risk models and rules to safeguard customers and Western Union against fraudulent activities. Your primary responsibilities will include: - Developing real-time and batch risk models to screen online transactions and prevent fraudulent activities - Documenting and communicating model results and insights internally - Continuously evaluating and enhancing the effectiveness of risk models and rules - Analyzing online transaction data to identify opportunities for reducing losses and creating actionable plans to capitalize on these opportunities - Profiling customer behavior to enhance the performance of models and rules To be successful in this role, you should possess: - A Master's or Graduate degree in a quantitative field such as Statistics, Math, Operations Research, MS, M-tech, or B-tech - A minimum of 5 years of relevant experience, with a proven track record in using advanced quantitative and statistical techniques - Strong problem-solving and analytical skills - Excellent communication skills to convey fraud insights effectively - Proficiency in SQL and at least one of the Python/R programming languages, with a willingness to learn new tools and technologies on the job - Experience in developing predictive models such as logistic regression, decision trees, and machine learning techniques - Intermediate knowledge of Microsoft Excel/Power BI/PPT and exposure to cloud systems like AWS Sagemaker/Dataiku would be advantageous At Western Union, we are committed to making financial services accessible worldwide and transforming lives and communities. Join our diverse and customer-centric team to be part of the future of financial services. As a valued employee, you will have ample opportunities for skill development, career advancement, and a competitive compensation package. The role is categorized as Hybrid, allowing you to work flexibly between home and office, with a minimum requirement of three days in the office per week. If you are ready to contribute to the future of financial services and make a meaningful impact, apply now and be part of Western Union's mission to connect people and businesses globally.,

You will be part of Maruti Suzuki's Analytics Centre of Excellence (ACE) CoE team as a Data Scientist. Your responsibilities will include designing and implementing workflows of Linear and Logistic Regression, Ensemble Models (Random Forest, Boosting) using R/Python. You should have demonstrable competency in Probability and Statistics, with the ability to use ideas of Data Distributions, Hypothesis Testing, and other Statistical Tests. Experience in handling outliers, denoising data, and managing the impact of pandemic-like situations will be crucial. Additionally, you will be expected to perform Exploratory Data Analysis (EDA) of raw data, conduct feature engineering where applicable, and showcase competency in Data Visualization using the Python/R Data Science Stack. Leveraging cloud platforms for training and deploying large-scale solutions, as well as training and evaluating ML models using various machine learning and deep learning algorithms, will be part of your role. You will also need to retrain and maintain model accuracy in deployment and package & deploy large-scale models on on-premise systems using multiple approaches including docker. Taking complete ownership of the assigned project, working in Agile environments, and being well-versed with project tracking tools like JIRA or equivalent will be expected. Your competencies should include knowledge of cloud platforms (AWS, Azure, and GCP), exposure to NoSQL databases (MongoDB, Cassandra, Cosmos DB, HBase), and forecasting experience in products like SAP, Oracle, Power BI, Qlik, etc. Proficiency in Excel (Power Pivot, Power Query, Macros, Charts), experience with large datasets and distributed computing (Hive/Hadoop/Spark), and transfer learning using state-of-the-art models in different spaces such as vision, NLP, and speech will be beneficial. Integration with external services and Cloud API, as well as working with data annotation approaches and tools for text, images, and videos, will also be part of your responsibilities. The ideal candidate should have a minimum of 2 years and a maximum of 8 years of work experience, along with a Bachelor of Technology (B.Tech) or equivalent educational qualification.,

As a Model Validation/Audit/Review Specialist at KGS, your primary responsibility will be to conduct validation, audit, and review of credit loss forecasting models within the retail or wholesale domain, specifically focusing on IFRS9/IRB models and their PD/EAD/LGD components. In this role, you will need to understand relevant regulatory requirements, review development documentation, perform testing and benchmarking, create challenger models using SAS, R, or Python, and prepare comprehensive reports. Your duties will also include providing support for other model validation activities related to Underwriting scorecards, Credit Scoring, behavioral models, economic scenario models, and validation-related automation tasks as required. You will be responsible for assessing the conceptual soundness of models, critically evaluating testing conducted by developers, ensuring model integrity and accuracy, evaluating predictive power and robustness, and ensuring compliance with regulatory standards. Collaboration with seniors, AMs, and Managers will be essential to meet key project deliverables. You will be expected to take ownership of key deliverables, engage with Partners/Directors to understand project scope and business requirements, and coordinate with onshore and offshore teams for successful project delivery. Additionally, you will provide advice to non-audit clients on the implications of evolving provision accounting standards (IFRS9) and help them validate or develop credit risk measurement models. Qualifications for this role at KGS include an advanced degree in Mathematics, Statistics, Economics, or other analytical disciplines. Alternatively, a graduate degree along with an MBA in Finance and relevant experience or exposure will be considered. Additional certifications such as FRM or CFA are preferred. Ideal candidates should have 2-12 years of experience in Risk Management/Analytics at major banks, top-tier consulting firms like Big 4, or captives of well-known banks. Proficiency in programming languages such as Python, SAS, and R is required. Advanced skills in statistical and quantitative modeling, including various techniques like linear regression, logistic regression, ARIMA, Markov Chain, Merton Model, CHAID, and other predictive modeling methods, are essential. In-depth knowledge of regulatory requirements related to model risk management, such as SR11-7, SR15-18, PRA, and EBA guidelines, is also expected.,

As a Deep Learning Engineer Intern, you will have the opportunity to work on our core ML stack, focusing on areas such as Computer Vision, Recommendation Systems, and LLM-based Features (optional). Working closely with our senior engineers, you will gain hands-on experience with real data, address edge-case challenges, and rapidly iterate on prototypes that drive our food-robotic machine. You will be an integral part of a focused 2-person full-time ML team, serving as our first intern and reporting directly to the Lead. This small team size ensures significant mentorship opportunities and allows you to make a direct impact on product development. Your responsibilities will include: - Working on tasks such as Ingredient Segmentation, Recipe Similarity, and Vision-Language Models - Packaging and deploying models for on-device inference and AWS services - Supporting data collection and annotation, refining datasets based on model performance - Iterating on experiments, tuning hyperparameters, testing augmentations, and documenting results We are looking for candidates with: - Strong fundamentals in Deep Learning (Transformers, CNNs) and classical ML (Logistic / Linear regression) - Hands-on experience with PyTorch in academic projects, internships, or personal work - Proficiency in Python and the broader ML ecosystem (NumPy, pandas) - Solid understanding of training pipelines, evaluation metrics, and experimental rigor - Eagerness to learn new domains such as NLP and recommendations Nice to have skills include prior exposure to LLMs or multimodal models, experience with computer vision in challenging real-world environments, and projects involving noisy, real-world datasets or edge-case-heavy scenarios. Working with us, you will enjoy: - Early ownership of ML features, contributing end-to-end to projects - Hands-on experience with real robotic systems in homes, witnessing your models in action - Direct access to senior ML engineers for mentorship in a small, focused team environment - Rapid feedback loops that allow you to prototype, deploy, and learn quickly - A clear growth path with strong potential for full-time conversion into our rapidly expanding ML team We are looking for candidates who are currently enrolled in a B.Tech or M.Tech program (3-4 years into their degree), possess strong math and ML fundamentals beyond using off-the-shelf libraries, thrive in an ambiguous, fast-paced startup environment, and are always curious, enjoying building, experimenting, and sharing insights. Location: Bangalore (4 days WFO & 1 day WFH) Duration: 3-6 month internship Compensation: 1,00,000/month To apply, ensure your resume includes a project portfolio with the following: - GitHub profile showcasing ML/deep learning projects - Public codebase from coursework, internships, or personal work - Kaggle notebooks or competition solutions with leaderboard standings,

Genpact (NYSE: G) is a global professional services and solutions firm dedicated to shaping the future by delivering impactful outcomes. With a team of over 125,000 professionals spread across more than 30 countries, we are characterized by our inherent curiosity, entrepreneurial spirit, and commitment to creating enduring value for our clients. Fueled by our overarching purpose of continually striving towards a world that functions better for individuals, we partner with and enhance leading enterprises, including members of the prestigious Fortune Global 500. Our core competencies revolve around in-depth business and industry expertise, digital operational services, and proficiency in data, technology, and AI. We are currently seeking applications for the position of Business Analyst - Data Scientist to join our dynamic team. As a Business Analyst - Data Scientist at Genpact, you will play a pivotal role in the development and implementation of NLP (Natural Language Processing) models and algorithms, extracting actionable insights from textual data, and collaborating with cross-functional teams to deliver innovative AI solutions. **Responsibilities:** **Model Development:** - Proficiency in various statistical, machine learning, and ensemble algorithms. - Strong understanding of time series algorithms and forecasting use cases. - Ability to discern the strengths and weaknesses of different models and select appropriate ones for specific problems. - Proficiency in evaluating metrics and recommending suitable evaluation metrics for different problem types. **Data Analysis:** - Extracting meaningful insights from structured data. - Preprocessing data for machine learning/artificial intelligence applications. **Collaboration:** - Close collaboration with data scientists, engineers, and business stakeholders. - Providing technical guidance and mentorship to team members. **Integration and Deployment:** - Integrating machine learning models into production systems. - Implementing CI/CD pipelines for continuous integration and deployment. **Documentation and Training:** - Documenting processes, models, and results. - Providing training and support to stakeholders on NLP techniques and tools. **Qualifications we seek in you:** **Minimum Qualifications / Skills:** - Bachelor's degree in computer science, engineering, or a related field. - Proficient programming skills in Python and R. - Experience with data science frameworks such as SKLEARN and NUMPY. - Knowledge of machine learning concepts and frameworks like TensorFlow and PyTorch. - Strong problem-solving and analytical capabilities. - Excellent communication and collaboration skills. **Preferred Qualifications/Skills:** - Experience in predictive analytics and machine learning techniques. - Proficiency in Python/R or any other open-source programming language. - Building and implementing models, using algorithms, and running simulations with various tools. - Familiarity with visualization tools such as Tableau, Power BI, Qlikview, etc. - Proficiency in applied statistics skills, including distributions, statistical testing, regression, etc. - Knowledge and experience in various tools and techniques like forecasting, linear regression, logistic regression, machine learning algorithms (e.g., Random Forest, Gradient Boosting, SVM, XGBoost, Deep Learning), etc. - Experience with big data technologies (Hadoop, Spark). - Familiarity with cloud platforms like AWS, Azure, GCP. **Job Details:** **Title:** Business Analyst - Data Scientist **Primary Location:** India-Hyderabad **Education Level:** Bachelor's / Graduation / Equivalent **Job Posting:** Apr 1, 2025, 2:47:23 AM **Unposting Date:** May 1, 2025, 1:29:00 PM **Master Skills List:** Digital **Job Category:** Full Time,

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

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

ZS Advanced Data Science - Associate ZS is a place where passion changes lives. As a management consulting and technology firm focused on transforming global healthcare and beyond, our most valuable asset is our people. Here youll work side-by-side with a powerful collective of thinkers and experts shaping solutions from start to finish. At ZS, we believe that making an impact demands a different approach; and thats why here your ideas elevate actions, and here youll have the freedom to define your own path and pursue cutting-edge work. We partner collaboratively with our clients to develop products that create value and deliver company results across critical areas of their business including portfolio strategy, customer insights, research and development, operational and technology transformation, marketing strategy and many more. If you dare to think differently, join us, and find a path where your passion can change lives. Our most valuable asset is our people . At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems the ones that comprise us as individuals, shape who we are and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. About Advanced Data Science (ADS): ZS Advanced Data Science group is focused on creating practical impact for clients across various industries such as Healthcare and Bio-Tech, Hi-Tech & Telecommunication, Financial Services and Travel through advanced analytics and emerging data sources. Emerging datasets include both unstructured datasets (for example, text, voice, image, etc.) and semi-structured datasets (for example, patient-level records). Advanced analytical techniques span a range of innovative machine learning, artificial intelligence, advanced statistics and optimization approaches. Being part of the ADS group at ZS will be an opportunity for you to work on cutting-edge solutions, utilizing new age data sources to shape innovations across multiple areas, for our clients and the broader ZS community. A key enabler of our services is leveraging data in delivering client solutions. The data available about customers is getting richer and the problems that our customers are trying to answer continue to evolve. In our endeavor to stay ahead in providing solutions to these evolving complex problems, ZS has set up an Advanced Data Science which has three major focus areas: • Research the evolving datasets and advanced analytical techniques to develop new offerings/solutions • Deliver client impact by collaboratively implementing these solutions • Provide thought leadership by developing the ZS Point of View in this space Data Science Associate Data Science Associate (DSA) design, develop and execute high-impact analytics solutions for large, complex, structured and unstructured data sets (including big data) to help clients make better fact-based decisions. Responsibilities: Develop advanced algorithms that solve problems of large dimensionality in a computationally efficient and statistically effective manner • Execute statistical and data mining techniques (e.g. hypothesis testing, machine learning and retrieval processes) on large data sets to identify trends, figures and other relevant information • Collaborate with clients and other ZS stakeholders to effectively integrate and communicate analysis findings • Contribute to the evaluation of emerging datasets and technologies that may contribute to our analytical platform • Evaluating emerging datasets and technologies that may contribute to our analytical platform • Owning the development of select assets/accelerators for efficient scaling of capability, with a focus on leveraging generative AI and deep learning methodologies. • Integrate engineering principles into data science workflows, optimizing algorithms for performance, scalability, and maintainability. • Collaborate with the engineering team to implement and deploy data science solutions into production, ensuring seamless integration with existing systems. • Utilize software engineering best practices for version control, code review, testing, and documentation to maintain high-quality, reliable, and reproducible data science workflows. Qualifications: Bachelor's or master's degree or PhD in Computer Science (or Statistics) from a premier institute, and strong academic performance with analytic and quantitative coursework is required. • 1-3 years of Data Science experience, including proficiency in generative AI, deep learning, statistical techniques, and engineering integration for scalable solutions. • Knowledge of programming (e.g. Java/Python/R); • Knowledge of big data/advanced analytics concepts and algorithms (e.g. text mining, social listening, recommender systems, predictive modeling, etc.); • Excellent oral and written communication skills. • Strong attention to detail, with a research-focused mindset; • Excellent critical thinking and problem-solving skills; • High motivation, good work ethic and maturity. • Exposure to Generative AI and its usage to solve problems is a plus. Perks & Benefits: ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Considering applying? At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact in global healthcare and beyond. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To Complete Your Application: Candidates must possess work authorization for their intended country of employment. An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At: www.zs.com

Primary Responsibilities: Developing end-to-end pipeline for different document processing use cases Connecting with business for requirement gathering and status updates Maintaining accuracy of the work delivered Work closely with team lead throughout the solution development lifecycle, from design to implementation Work with the business teams to operationalize the ML solution for document processing solutions Engage in client communications for all important functions including requirement gatherings, strategizing solutions, delivering updates etc. Acquire understanding of US Healthcare domain Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Working understanding of deep learning especially NLP space Proficient in tools such as Python, SQL , Spark Microsoft Office Excel or PowerPoint Proficient in statistical techniques and standard Machine Learning Proficient in Generative AI and Agentic AI At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission. #NIC Apply Internal Employee Application

Commercial Management : Roles & Responsibilities Improve WIN probability Deal shaping from commercial perspective Help arrive at Right Price to Win Internal Benchmarking Alternate pricing and commercial structures Client Business case Identify margin / price improvement levers Develop appropriate commercial solutions Review cost modeling Review Rfx documents to highlight risks Review compliance with internal guidelines Review pricing sheet responses Draft end to end Responses Commercial responses including contract markup, assumptions and T&Cs Establish MOUs/ agreements with Internal BUs Comprehensive contract documents with client and sub-contractors Commercial negotiation Commercial handover from pre-sale to post-sale teams Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. Skills (competencies) Verbal Communication

This is a remote position, so you ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. Join our team The GoDaddy Payments Risk and Growth strategy team is an integral part to GoDaddy s mission of providing outstanding commerce and payments capabilities to our 20 million and growing everyday entrepreneurs. As a data scientist on the Strategy team, you will help enable safer payments for our users and protect GoDaddy from fraud. You will also uncover opportunities to expand GoDaddy Payments, and face complex challenges at GoDaddy, using data to guide team for scalability. What youll get to do... Develop machine learning based Risk Models, and new complex features with an aim to make GoDaddy Payments one of the most secure and merchant friendly payment facilitator Build data pipelines to prepare data for rapid learning in a scalable manner Design and build machine learning and data infrastructure by partnering with data and production engineering teams Comfortable applying a combination of qualitative and quantitative methods to come up with actionable strategies, connect with stakeholders, and recommend actions Support data science needs for both go-to-market strategy, and Risk Operations Your experience should include... 2+ years of experience leveraging machine learning techniques such as Gradient Boosting, Logistic Regression, and Decision Trees, among others 2+ years of coding experience using machine learning toolset within Python, SQL, Spark 2+ years of hands-on experiences with data extraction, cleaning, analysis and visualization You might also have... MBA or Master s degree or PhD in Statistics, Mathematics, Computer Science, Engineering or Economics or other quantitative discipline Experience with non-structural data Experience in credit card payments industry Weve got your back... We offer a range of total rewards that may include paid time off, retirement savings (e.g., 401k, pension schemes), bonus/incentive eligibility, equity grants, participation in our employee stock purchase plan, competitive health benefits, and other family-friendly benefits including parental leave. GoDaddy s benefits vary based on individual role and location and can be reviewed in more detail during the interview process.

Senior Data Scientist AI Garage is responsible for establishing Mastercard as an AI powerhouse. AI will be leveraged and implemented at scale within Mastercard providing a foundational, competitive advantage for the future. All internal processes, all products and services will be enabled by AI continuously advancing our value proposition, consumer experience, and efficiency. Opportunity Join Mastercards AI Garage @ Gurgaon, a newly created strategic business unit executing on identified use cases for product optimization and operational efficiency securing Mastercards competitive advantage through all things AI. The AI professional will be responsible for the creative application and execution of AI use cases, working collaboratively with other AI professionals and business stakeholders to effectively drive the AI mandate. Role Ensure all AI solution development is in line with industry standards for data management and privacy compliance including the collection, use, storage, access, retention, output, reporting, and quality of data at Mastercard Adopt a pragmatic approach to AI, capable of articulating complex technical requirements in a manner this is simple and relevant to stakeholder use cases Gather relevant information to define the business problem interfacing with global stakeholders Creative thinker capable of linking AI methodologies to identified business challenges Identify commonalities amongst use cases enabling a microservice approach to scaling AI at Mastercard, building reusable, multi-purpose models Develop AI/ML solutions/applications leveraging the latest industry and academic advancements Leverage open and closed source technologies to solve business problems Ability to work cross-functionally, and across borders drawing on a broader team of colleagues to effectively execute the AI agenda Partner with technical teams to implement developed solutions/applications in production environment Support a learning culture continuously advancing AI capabilities All About You Experience Experience in the Data Sciences field with a focus on AI strategy and execution and developing solutions from scratch Demonstrated passion for AI competing in sponsored challenges such as Kaggle Previous experience with or exposure to: oDeep Learning algorithm techniques, open source tools and technologies, statistical tools, and programming environments such as Python, R, and SQL oBig Data platforms such as Hadoop, Hive, Spark, GPU Clusters for deep learning oClassical Machine Learning Algorithms like Logistic Regression, Decision trees, Clustering (K-means, Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, Recommender Systems - Collaborative Filtering, FPMC, FISM, Fossil oDeep Learning algorithm techniques like Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks Feedforward, CNN, LSTM s GRU s is a plus. Optimization techniques Activity regularization (L1 and L2), Adam, Adagrad, Adadelta concepts; Cost Functions in Neural Nets Contrastive Loss, Hinge Loss, Binary Cross entropy, Categorical Cross entropy; developed applications in KRR, NLP, Speech and Image processing oDeep Learning frameworks for Production Systems like Tensorflow, Keras (for RPD and neural net architecture evaluation), PyTorch and Xgboost, Caffe, and Theono is a plus Exposure or experience using collaboration tools such as: oConfluence (Documentation) oBitbucket/Stash (Code Sharing) oShared Folders (File Sharing) oALM (Project Management) Knowledge of payments industry a plus Experience with SAFe (Scaled Agile Framework) process is a plus Effectiveness Effective at managing and validating assumptions with key stakeholders in compressed timeframes, without hampering development momentum Capable of navigating a complex organization in a relentless pursuit of answers and clarity Enthusiasm for Data Sciences embracing the creative application of AI techniques to improve an organizations effectiveness Ability to understand technical system architecture and overarching function along with interdependency elements, as well as anticipate challenges for immediate remediation Ability to unpack complex problems into addressable segments and evaluate AI methods most applicable to addressing the segment Incredible attention to detail and focus instilling confidence without qualification in developed solutions Core Capabilities Strong written and oral communication skills Strong project management skills Concentration in Computer Science Some international travel required

As an integral part of our Data Automation & Transformation team, you will experience unique challenges every day. We are looking for someone with a positive attitude, entrepreneurial spirit, and a willingness to dive in and get things done. This role is crucial to the team and will provide exposure to various aspects of managing a banking office. In this role, you will focus on building curated Data Products and modernizing data by moving it to SNOWFLAKE. Your responsibilities will include working with Cloud Databases such as AWS and SNOWFLAKE, along with coding languages like SQL, Python, and Pyspark. You will analyze data patterns across large multi-platform ecosystems and develop automation solutions, analytics frameworks, and data consumption architectures utilized by Decision Sciences, Product Strategy, Finance, Risk, and Modeling teams. Ideally, you should have a strong analytical and technical background in financial services, particularly in small business banking or commercial banking segments. Your key responsibilities will involve migrating Private Client Office Data to Public Cloud (AWS and Snowflake), collaborating closely with the Executive Director of Automation and Transformation on new projects, and partnering with various teams to support data analytics needs. You will also be responsible for developing data models, automating data assets, identifying technology gaps, and supporting data integration projects with external providers. To qualify for this role, you should have at least 3 years of experience in analytics, business intelligence, data warehousing, or data governance. A Master's or Bachelor's degree in a related field (e.g., Data Analytics, Computer Science, Math/Statistics, or Engineering) is preferred. You must have a solid understanding of programming languages such as SQL, SAS, Python, Spark, Java, or Scala, and experience in building relational data models across different technology platforms. Excellent communication, time management, and multitasking skills are essential for this role, along with experience in data visualization tools and compliance with regulatory standards. Knowledge of risk classification, internal controls, and commercial banking products and services is desirable. Preferred qualifications include experience with Big Data and Cloud platforms, data wrangling tools, dynamic reporting applications like Tableau, and proficiency in data architecture, data mining, and analytical methodologies. Familiarity with job scheduling workflows, code versioning software, and change management tools would be advantageous.,

About The Role : In Scope of Position based Promotions (INTERNAL only) Job Title- IB Business Information Records Officer (BIRO) Location- Mumbai, India Corporate Title - VP Role Description Group Strategic Analytics: Analytics and technology are seen as central to all the main units of the bank, including Investment Bank, Corporate Bank and to Risk and Control functions. The Strategic Analytics team combines expertise in quantitative analytics, modelling, pricing and risk management with deep understanding of system architecture and programming. The primary output is a scalable and flexible Front Office pricing and risk management system with consistent interface to both the Middle Office and Back Office. The consistency in analytics and the technology platform ensures that no arbitrage can exist between various parts of the Bank as well as rational allocation of constrained resources, including risk budget, balance sheet, funding, and capital. What well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities Treasury Strat's The candidate is required to work in collaboration with London/New York/Frankfurt team 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 a very good English communication skill in order to coordinate and communicate their work effectively with various stakeholders spread across globe. Role Responsibilities Development of complex processes, framework or risk analysis as well as improvements Implement, enhance and maintain existing framework to measure market risks across the bank Understand and decipher business problem to convert into manageable smaller problem statements Coordinate and gather information from various stakeholders for deeper understanding of the business Design an automated solution which is optimized and scalable Develop and design tables and databases required for the storage of the data Develop applications/libraries for the implementation of the solution Remediation of regulatory as well as external and internal findings against the MR HS models in line with the assigned tasks Constant awareness and understanding of the key market risks taken by the business areas and communication to senior management and with ex External stakeholders, challenge the business within assigned areas when required Quality assurance (e.g. 4 eyes principle reviews) Your skills and experience Competencies Programming Skills At least 4 years experience in Python/C++ programming Good knowledge of OOPs programming concepts ( Class, Pointers, Data structure stacks, queue) Experience in pulling data from various Market data sources. Independent handling and mitigating methodological or process weaknesses identified by regulators, auditors and internal model validation team Strong communication skills and presentation ability with attention to detail Good problem solving instincts and strong analytical skills Personal characteristics Ability to work independently as well as flexibly within intra or inter-departmental groups. Continuous advancement of own skills and knowledge Can-Do attitude & Able to cope well under pressure and tight deadlines. Education/ Qualifications: Strong educational background in Engineering/Science, Economics, Statistics or other numerate discipline preferably from good colleges in India e.g. IIT, NIT, ISI etc. Good knowledge of financial instruments and markets across all asset classes Knowledge of financial pricing models, risk models would be desirable Experience with applied econometrics (Hypothesis testing, PCA, Linear/Non-Linear Regression etc) will be a plus Certification courses like CFA/FRM/CQ How well support you

About The Role : Job Title- Name and Transaction Screening Model Strats, AVP Location- Bangalore, India Role Description Group Strategic Analytics (GSA) is part of Group Chief Operation Office (COO) which acts as the bridge between the Banks business and infrastructure functions to help deliver the efficiency, control, and transformation goals of the Bank. You will work within the Global Strategic Analytics Team and lead a team of 5 Associates to support a global model strategy and deployment of Name & Transaction Screening. To be successful in that role, you will be familiar with the most recent data science methodologies and have a delivery-centric attitude, strong analytical skills, and a detail-oriented approach to breaking down complex matters into more understandable details. You will work in a collaborative global team and focus on people development and career growth. The purpose of Name & Transaction Screening is to identify and investigate clients and customer transactions that come into scope per sanctions screening requirements, to understand if that activity is considered suspicious from a financial crime perspective, and to report that activity to the government. Reporting to the Name & Transaction Screening Lead within Trader and Client Control Strats, you will be responsible for implementing and maintaining the models for Name & Transaction Screening. You will help ensure that all relevant criminal risks, typologies, products, and services are properly monitored. We are looking for a high-performing Assistant Vice President with 5+ years of experience in financial crime model development, tuning, and analytics to support the global strategy for screening systems across Name Screening (NLS) & Transaction Screening (TS). This role offers the opportunity to drive key model initiatives within a cross-regional team and contribute directly to the banks risk mitigation efforts against financial crime. You will drive model tuning and development efforts, support regulatory deliverables, and collaborate with cross-functional teams including Compliance, Data Engineering, and Technology. What well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities Model Development & Tuning Manage a team of 5 Associates to support the design and calibration of models for NLS and TS systems, ensuring optimal detection quality and manageable alert volumes. Support data exploration, feature engineering, and statistical analysis to inform tuning strategies. Document model logic, decisions, and outcomes in line with governance and validation standards. Project Engagement Contribute to specific model projects, from requirements gathering through to development, testing, and implementation. Coordinate small teams or working groups for agile delivery, working with developers, QA, and operations stakeholders. Performance Monitoring & Validation Support Monitor model performance metrics and investigate anomalies in production environments. Partner with model validation and internal audit to respond to queries and provide supporting analysis. Stakeholder Engagement Liaise with regional Compliance teams and operational users to gather feedback on model effectiveness. Contribute to presentations and technical reports for governance forums and senior stakeholders. Process Improvement Contribute to continuous improvement of the model development framework and documentation standards. Proactively identify opportunities for automation, efficiency, or application of advanced analytics. Your skills and experience Experience: 5+ years in model development, risk analytics, or quantitative compliance, preferably within financial crime or sanctions screening. Familiarity with financial crime systems (e.g., Actimize, Fircosoft, or equivalent platforms) and regulatory frameworks (e.g., AMLD, OFAC, FCA guidance). Technical Skills: Recent and relevant hands-on experience in SQL, Python for data analysis and model development. Strong Excel and data visualization skills; experience using Power BI or Tableau is a plus. Understanding of statistical techniques such as threshold optimization, precision/recall, ROC curves. Soft Skills: Strong analytical and problem-solving abilities. Ability to communicate complex technical content to non-technical stakeholders. Highly organized, with strong attention to detail and documentation quality. How well support you 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.

About The Role : Job TitleQuant Analyst, AVP LocationMumbai, India Role Description Group Strategic Analytics: Analytics and technology are seen as central to all the main units of the bank, including Investment Bank, Corporate Bank and to Risk and Control functions. The Strategic Analytics team combines expertise in quantitative analytics, modelling, pricing and risk management with deep understanding of system architecture and programming. The primary output is a scalable and flexible Front Office pricing and risk management system with consistent interface to both the Middle Office and Back Office. The consistency in analytics and the technology platform ensures that no arbitrage can exist between various parts of the Bank as well as rational allocation of constrained resources, including risk budget, balance sheet, funding, and capital. What well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities Treasury Strat's The candidate is required to work in collaboration with London/New York/Frankfurt team 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 a very good English communication skill in order to coordinate and communicate their work effectively with various stakeholders spread across globe. Role Responsibilities Development of complex processes, framework or risk analysis as well as improvements Implement, enhance and maintain existing framework to measure market risks across the bank Understand and decipher business problem to convert into manageable smaller problem statements Coordinate and gather information from various stakeholders for deeper understanding of the business Design an automated solution which is optimized and scalable Develop and design tables and databases required for the storage of the data Develop applications/libraries for the implementation of the solution Remediation of regulatory as well as external and internal findings against the MR HS models in line with the assigned tasks Constant awareness and understanding of the key market risks taken by the business areas and communication to senior management and with ex External stakeholders, challenge the business within assigned areas when required Quality assurance (e.g. 4 eyes principle reviews) Your skills and experience Competencies Programming Skills At least 4 years experience in Python/C++ programming Good knowledge of OOPs programming concepts ( Class, Pointers, Data structure stacks, queue) Experience in pulling data from various Market data sources. Independent handling and mitigating methodological or process weaknesses identified by regulators, auditors and internal model validation team Strong communication skills and presentation ability with attention to detail Good problem solving instincts and strong analytical skills Personal characteristics Ability to work independently as well as flexibly within intra or inter-departmental groups. Continuous advancement of own skills and knowledge Can-Do attitude & Able to cope well under pressure and tight deadlines. Education/ Qualifications: Strong educational background in Engineering/Science, Economics, Statistics or other numerate discipline preferably from good colleges in India e.g. IIT, NIT, ISI etc. Good knowledge of financial instruments and markets across all asset classes Knowledge of financial pricing models, risk models would be desirable Experience with applied econometrics (Hypothesis testing, PCA, Linear/Non-Linear Regression etc) will be a plus Certification courses like CFA/FRM/CQ How well support you

Project Role : Service Management Practitioner Project Role Description : Support the delivery of programs, projects or managed services. Coordinate projects through contract management and shared service coordination. Develop and maintain relationships with key stakeholders and sponsors to ensure high levels of commitment and enable strategic agenda. Must have skills : Sybase Database Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Service Management Practitioner, you will support the delivery of programs, projects, or managed services. Your typical day will involve coordinating various projects through effective contract management and shared service coordination. You will also focus on developing and maintaining relationships with key stakeholders and sponsors, ensuring high levels of commitment and enabling the strategic agenda of the organization. This role requires a proactive approach to problem-solving and a commitment to fostering collaboration across teams to achieve shared goals. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate communication between stakeholders to ensure alignment on project objectives.- Mentor junior team members to enhance their skills and knowledge. Professional & Technical Skills: - Must To Have Skills: Proficiency in Sybase Database.- Strong understanding of database management and optimization techniques.- Experience with performance tuning and troubleshooting of Sybase databases.- Familiarity with data migration processes and strategies.- Ability to implement security measures and data integrity protocols. Additional Information:- The candidate should have minimum 7.5 years of experience in Sybase Database.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : AWS Redshift Good to have skills : AWS AdministrationMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with various teams to understand their needs, developing innovative solutions, and ensuring that applications are aligned with business objectives. You will engage in problem-solving activities, participate in team meetings, and contribute to the overall success of projects by leveraging your expertise in application development. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure timely delivery of application features. Professional & Technical Skills: - Must To Have Skills: Proficiency in AWS Redshift.- Good To Have Skills: Experience with AWS Administration.- Strong understanding of database management and optimization techniques.- Experience in application development using various programming languages.- Familiarity with cloud computing concepts and services. Additional Information:- The candidate should have minimum 5 years of experience in AWS Redshift.- This position is based at our Chennai office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : PySpark Good to have skills : Apache SparkMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. You will be responsible for ensuring that the applications are developed according to the specified requirements and are aligned with the business goals. Your typical day will involve collaborating with the team to understand the application requirements, designing and developing the applications using PySpark, and configuring the applications to meet the business process needs. You will also be responsible for testing and debugging the applications to ensure their functionality and performance. Roles & Responsibilities:- Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Design and build applications using PySpark.- Configure applications to meet business process requirements.- Collaborate with the team to understand application requirements.- Test and debug applications to ensure functionality and performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in PySpark.- Good To Have Skills: Experience with Apache Spark.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 5 years of experience in PySpark.- This position is based at our Chennai office.- A 15 years full time education is required. Qualification 15 years full time education

You should have the ability to design and implement workflows of Linear and Logistic Regression, Ensemble Models (Random Forest, Boosting) using R/Python. Demonstrating competency in Probability and Statistics, you should be capable of utilizing ideas of Data Distributions, Hypothesis Testing, and other Statistical Tests. Your experience should include dealing with outliers, denoising data, and handling the impact of pandemic like situations. Performing Exploratory Data Analysis (EDA) of raw data and feature engineering wherever applicable is crucial. You should possess demonstrable competency in Data Visualization using the Python/R Data Science Stack. Leveraging cloud platforms for training and deploying large-scale solutions is essential. Being able to train and evaluate ML models using various machine learning and deep learning algorithms is a must. You should also be skilled in retraining and maintaining model accuracy in deployment. Knowledge of cloud platforms such as AWS, Azure, and GCP is required. Exposure to NoSQL databases (MongoDB, Cassandra, Cosmos DB, HBase) is preferred. An understanding of forecasting experience in products like SAP, Oracle, Power BI, and Qlik is beneficial. Proficiency in Excel (Power Pivot, Power Query, Macros, Charts) is expected. Having experience with large datasets and distributed computing (Hive/Hadoop/Spark) is advantageous. Knowledge of transfer learning using state-of-the-art models in different spaces like vision, NLP, and speech is a plus. Integration with external services and Cloud API is also a part of the role. Working with data annotation approaches and tools for text, images, and videos is desirable. You should be able to package and deploy large-scale models on on-premise systems using multiple approaches, including Docker. Taking complete ownership of the assigned project is necessary. Experience of working in Agile environments and being well-versed with JIRA or equivalent project tracking tools is expected.,

Lowe s is a FORTUNE 100 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2024 sales of more than $83 billion, Lowe s operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Mooresville, N.C., Lowe s supports the communities it serves through programs focused on creating safe, affordable housing, improving community spaces, helping to develop the next generation of skilled trade experts and providing disaster relief to communities in need. For more information, visit Lowes.com. Lowe s India, the Global Capability Center of Lowe s Companies Inc., is a hub for driving our technology, business, analytics, and shared services strategy. Based in Bengaluru with over 4,500 associates, it powers innovations across omnichannel retail, AI/ML, enterprise architecture, supply chain, and customer experience. From supporting and launching homegrown solutions to fostering innovation through its Catalyze platform, Lowe s India plays a pivotal role in transforming home improvement retail while upholding strong commitment to social impact and sustainability. For more information, visit Lowes India About Team The Customer Insights team uses data and analytics capabilities to provide strategic insights around customer and competitive landscape to help drive effective market strategy for Lowe s. The team works closely with various key functions across the business to provide insights and recommendations across different business areas. The team is responsible to track, report and analyze various customer and market related metrics and generate actionable insights on key customer segments, customer experience vis- -vis Lowe s and our market position along with opportunities to help inform an effective Go To Market Strategy and win market share across key markets, customer segments and product categories. Job Summary: The primary responsibility is to report, analyze and provide insights on Customer Experience at Lowe s across selling channels, customer segments and product categories. The individual will apply analytical methods to combine internal and external data and analyze trends in Customer Experience Metrics and the factors that play a key role driving improvement in those metrics. This position is responsible for following best practices in turning business questions into data analysis, analyzing results and identifying insights for decision making; determine additional research/analytics that may be needed to enhance the solution; and coordinate with cross-functional teams to ensure project continuity and strategic alignment. The individual will also have to proactively take up initiatives to apply modern tools and techniques to improve efficiency, accuracy and overall quality of insights offered to stakeholders. Roles & Responsibilities: Core Responsibilities: Analyze Customer feedback, LTR, NPS data to understand in-market trends and where to focus to improve Customer experience. Work with our US (Mooresville) team to assist them in defining various reporting / analysis needs and building appropriate methodologies to provide actionable insights on Experience Metrics. Identifying the appropriate univariate and multivariate analysis to identify key customer trends and insights Segmentation, Bayesian Networks, Factor analysis etc. Synthesize disparate sources of data primary and secondary to develop cohesive stories, trends and insights that will drive strategic decision making across the enterprise. Leverage available information across workstreams to help connect dots and provide holistic insights on Customer Experience trends and Strategy. Work with the data operation teams to enhance data capabilities and develop tools to improve ease of access to data and BI for the broader organization Years of Experience: 3-5 Years Hands on experience with Customer Experience Analytics / Customer Analytics / Customer Insights Education Qualification & Certifications (optional) Required Minimum Qualifications : Master s degree in Economics / Statistics / Analytics or MBA in Marketing Skill Set Required Primary Skills (must have) Hands on experience in SQL, Teradata, Hadoop, Python Hands-on Analytics Experience of building Statistical / Mathematical models and multivariate analysis like Segmentation, Logistic Regression, Bayesian Networks, Factor analysis, Conjoint analysis, etc. Ability to apply Analytical tools and techniques to extract insights from Structured and Unstructured data. Consulting Skills - Ability to impact business decisions through analytics and research. Hands on experience in creating Executive level audience ready presentations to tell impactful stories. Excellent communication skill to connect with people from diverse background and experience Secondary Skills (desired) Experience on working with text data would be an advantage. Experience in working with Customer Experience or Voice of Customer Metrics will be a good to have. Familiarity with retail industry and key concepts

Citi Analytics & Information Management (AIM) team is a global community that objectively connects and analyzes information to create actionable intelligence for business leaders. As a C12 (Individual Contributor) AVP within the Retail Bank Fraud Analytics team in Citi AIM, your primary focus will be on analyzing transaction data to understand fraud patterns and develop strategies to mitigate fraud losses while minimizing customer impact. You will monitor strategy performance, collaborate with the implementation team, and proactively suggest fraud loss mitigation measures using new data sources and advanced analytics techniques. You will be expected to perform hands-on analysis on a regular and ad hoc basis, extract various data sources beyond transactions, generate fraud risk insights, recommend business solutions, and optimize existing rules for improved performance. Your role will require a holistic understanding of retail banking products, best practices, and the integration of analytical thinking with business knowledge to develop client-centric solutions. Ideally, you should have experience in analytics within the BFSI domain, proficiency in basic statistics, hypothesis testing, segmentation, and predictive modeling. Proficiency in decision tree models (CHAID/CART), Logistic Regression, exploratory data analysis, SAS, SQL, Hive, Impala, and Excel is essential. Knowledge of Python, prior experience in Fraud Analytics, and familiarity with Tableau or other data visualization tools are desirable. You should also have experience in stakeholder management across functions and regions, translating data into consumer insights, and effectively communicating findings to business partners and senior leaders. Your role will involve delivering clear presentations, managing projects, supporting regulatory/audit activities, and collaborating with stakeholders to drive targeting and segmentation strategies. You should possess excellent communication skills, project and process management capabilities, and the ability to work both independently and within a team environment. Qualifications: - 8+ years of analytics experience, with prior experience in Fraud analytics preferred - Advanced analytical and business strategy skills - Effective communication skills, including the ability to present to business partners and leaders - Project and process management skills - Excellent written and verbal communication skills - Experience in financial services analytics - Strong organizational skills and ability to manage multiple projects simultaneously Education: - Bachelors/University degree or equivalent experience; Masters degree preferred If you require a reasonable accommodation due to a disability for using our search tools or applying for a career opportunity, please review the Accessibility at Citi information. For more details, view Citi's EEO Policy Statement and the Know Your Rights poster.,

Evalueserve is a global leader in delivering innovative and sustainable solutions to a diverse range of clients, including over 30% of Fortune 500 companies. Operating in more than 45 countries across five continents, we leverage state-of-the-art technology, artificial intelligence, and unparalleled subject matter expertise to elevate our clients" business impact and strategic decision-making. With a team of over 4,500 talented professionals worldwide, we offer a dynamic, growth-oriented, and meritocracy-based culture that emphasizes continuous learning, skill development, work-life balance, and equal opportunity for all. Recognized by Great Place to Work in various countries, we provide a rewarding environment for individuals looking to make a significant impact. As a member of the Risk and Quant Solutions (RQS) team at Evalueserve, you will be part of one of the fastest-growing practices within the organization. Working with cutting-edge technology, you will address some of the world's largest financial needs and contribute to improving decision-making processes in the banking sector. Your responsibilities at Evalueserve will include leading and overseeing the development and implementation of Asset Liability Management (ALM) and Interest Rate Risk in the Banking Book (IRRBB) models for a bank. You will conduct advanced data analysis, collaborate with the model development team to enhance existing models, work directly with clients to provide tailored solutions in ALM and IRRBB management, and ensure timely completion of projects with a strong sense of urgency. Additionally, you will manage prototype source data migration, develop and deliver training programs, and contribute to strategic decision-making processes through your expertise. We are looking for individuals with a Bachelor's or Master's degree in business administration, finance, computer science, or related fields. The ideal candidate will have a deep understanding of ALM concepts, IRRBB, and Internal Liquidity Adequacy Assessment Process (ILAAP), as well as proficiency in statistical methods and tools such as logistic regression, Bayesian statistics, and time series analysis. Strong skills in Python and R, along with experience in developing models from scratch, are essential for this role. Effective communication, stakeholder management, and leadership skills are also key requirements. Please note that the job description provided is for informational purposes and may be subject to periodic modifications to align with evolving circumstances. Accuracy and authenticity in the information you provide are crucial for your candidacy, as they will be verified during the Background Verification Process. If you require any assistance, your Talent Acquisition Single Point of Contact (TA SPOC) is available to support you throughout the process.,

KPMG India is looking for Assistant Manager - Data Science Assistant Manager - Data Science to join our dynamic team and embark on a rewarding career journey Ensuring company policies are followed. Optimizing profits by controlling costs. Hiring, training and developing new employees. Resolving customer issues to their overall satisfaction. Maintaining an overall management style that follows company best practices. Providing leadership and direction to all employees. Ensuring product quality and availability. Preparing and presenting employee reviews. Working closely with the store manager to lead staff. Overseeing retail inventory. Assisting customers whenever necessary. Organizing employee schedule. Ensuring that health, safety, and security rules are followed. Ensuring a consistent standard of customer service. Motivating employees and ensuring a focus on the mission. Maintaining merchandise and a visual plan. Maintaining stores to standards, including stocking and cleaning. Completing tasks assigned by the general manager accurately and efficiently. Supporting store manager as needed.

Data Science Financial Analyst I Description - HQ Strategy & Finance Analytics team provides a unique opportunity to work on projects across HP Inc. You will be part of a team of analytics consultants, technical experts and data scientists within WW HP Inc. as part of the HQ Strategy & Finance Analytics Organization supporting the analytics projects and initiatives within the organization. You will participate in high profile initiatives including analyzing revenue trends, financial and operational metrics, implementing change, and developing frameworks for assessing the organization s progress against its business and financial objectives. You will have the opportunity to work closely with the Finance Leadership/ Business Finance and Business leaders both in the GBU and region teams, and support them with analytically rigorous and pragmatic Business Intelligence solutions. HP is working on several machine learning problems related to financial analytics. We are in the process of setting up a new strategic team that will mine internal financial databases, and build predictive/prescriptive models using data science, advanced statistical tools and Machine Learning algorithms. We are looking for an outstanding Machine Learning Scientist who combines superb technical, communication, and analytical capabilities with a demonstrated ability to get the right things done quickly and effectively. The ideal candidate for this team will be a thinker and a doer: someone who loves sophisticated algorithms and mathematical precision and is motivated by the prospect of spectacular business returns. You will be responsible for Analytics Solutions Development, source and integrate diverse data sets while building business intelligence and analytics models/frameworks to support decisions on focus areas and investments for key initiatives across regions. You will help to mine both internal and external data sources to provide strategic insights and research to enable informed decision making by Finance Leadership and assist in formulation of strategies and recommendations across personal systems, print, and mobility businesses. You will have the opportunity to own and drive projects/initiatives with end to end responsibility, collaborate with some of the best minds in the industry and drive outcomes. Qualifications: PhD in Computer Science, Mathematics or Statistics or, Masters in Computer Science, Mathematics or Statistics from IITs or IISC or Indian Statistical Institute or any other respected foreign universities Skills: 2 to 4 years of industrial experience in predictive modeling and analysis, predictive software development Must have worked on commonly used Machine Learning algorithms such as Linear Regression, Logistic Regression, Decision Tree, K-Means, Random Forest etc. Strong Problem solving ability Must have excellent coding skills in Python and knowledge in Hadoop Experience in using SAS, Matlab, or any other statistical software Strong skills in Technology, BI Tools and Technical Development Strong data presentation skills Experience handling gigabyte, larger size datasets and Big Data Experience working with financial data and systems (preferred)