538 Logistic Regression Jobs - Page 2

Salary : 45 to 60LPA Exp: 12 to 20 years Location : Remote Notice: Immediate to 30 days..!! Roles & responsibilities: 10+ years exp on Python , ML and Banking model development Interact with the client to understand their requirements and communicate / brainstorm solutions, model Development: Design, build, and implement credit risk model. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 5+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business. Create experiments and prototype implementations of new learning algorithms and prediction techniques Collaborate with product managers, and stockholders to design and implement software solutions for science problems Use machine learning best practices to ensure a high standard of quality for all of the team deliverables Has experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorization Hands-on experience with IFRS 9 models and regulations. Data Analysis: Analyze large datasets to identify trends and risk factors, ensuring data quality and integrity. Statistical Analysis: Utilize advanced statistical methods to build robust models, leveraging expertise in R programming. Collaboration: Work closely with data scientists, business analysts, and other stakeholders to align models with business needs. Continuous Improvement: Stay updated with the latest methodologies and tools in credit risk modeling and R programming.

Job Summary: The Senior Manager, Data Science will lead a team of data scientists to develop advanced analytical models and drive data-driven decision-making across the organization. This role requires a strong blend of technical expertise, strategic thinking, and leadership skills. The Senior Manager will collaborate with cross-functional teams to identify business opportunities, design and implement innovative data solutions, and contribute to the companys overall strategic goals. Key Responsibilities: 1. Leadership and Team Management: Lead, mentor, and develop a team of data scientists. Foster a culture of innovation, collaboration, and continuous learning. Set clear goals and performance expectations for the team. 2. Strategy and Vision: Define and implement the data science strategy aligned with the companys objectives. Identify and prioritize data science projects that drive business value. Stay abreast of industry trends and emerging technologies to keep the organization at the forefront of data science. 3. Technical Expertise: Oversee the development and deployment of machine learning models and algorithms. Ensure best practices in data modeling, coding, and experimental design. Provide technical guidance on complex data science projects. 4. Collaboration and Communication: Work closely with business leaders to understand their needs and translate them into data science initiatives. Communicate findings and recommendations to both technical and non-technical stakeholders. Collaborate with data engineering, IT, and other departments to ensure data availability and integrity. 5. Project Management: Manage multiple data science projects, ensuring timely and successful delivery. Allocate resources effectively and balance team workloads. Monitor project progress and make adjustments as needed. 6. Performance Measurement: Develop metrics to measure the impact and effectiveness of data science initiatives. Continuously evaluate and refine models and strategies based on performance data. Report on key performance indicators to senior management. Qualifications: Education: Bachelors degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Masters or Ph.D. preferred. Experience: 7+ years of experience in data science or a related field. 3+ years in a leadership or managerial role within a data science team. Proven track record of delivering impactful data science solutions in a business context. Technical Skills: Expertise in statistical analysis, machine learning, and predictive modeling. Proficiency in programming languages such as Python, R, or SQL. Experience with data visualization tools like Tableau, Power BI, or similar. Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure). Soft Skills: Strong analytical and problem-solving abilities. Excellent communication and presentation skills. Ability to translate complex technical concepts into actionable business insights. Strong organizational and project management skills. Preferred Qualifications: Experience in [specific industry or domain relevant to the company]. Knowledge of deep learning, NLP, or other advanced AI techniques. Experience with Agile methodologies and project management tools.

Job Summary: The ideal candidate will be responsible for leading and managing multiple audit engagements, ensuring compliance with regulatory standards, and mentoring junior staff. This is an excellent opportunity for a seasoned professional looking to take on a leadership role within a dynamic and growing organization. Key Responsibilities: Lead, plan, and execute audit engagements for clients in EBP, NFP, Yellow Book, Commercial and Single Audit sectors. Ensure compliance with GAAP, GAAS, GAGAS, ERISA, OMB Uniform Guidance, and other relevant auditing standards . Develop and maintain strong client relationships by providing high-quality service and strategic insights. Supervise, mentor, and train audit staff and senior associates to enhance their technical and professional skills. Review and finalize audit workpapers, reports, and financial statements to ensure accuracy and compliance. Identify and assess audit risks , develop audit strategies, and communicate findings and recommendations to clients. Coordinate with clients, regulators, and internal teams to facilitate audit processes and address issues proactively. Stay updated on industry trends, changes in regulations, and best practices to enhance audit efficiency and effectiveness. Assist in business development efforts , including proposal writing, client presentations, and networking to expand service offerings. Requirements 7+ years of audit experience , with a focus on at least two of the following: EBP, NFP, Yellow Book, Commercial and Single Audits. CA, CMA, Bachelors, or Masters degree in Accounting, Finance, or a related field. CPA certification required (or actively pursuing with significant progress). Extensive knowledge of US GAAP. Proven ability to lead and manage multiple audit engagements simultaneously. Strong analytical, problem-solving, and decision-making skills . Excellent verbal and written communication skills with the ability to present findings to clients and stakeholders. Proficiency in audit software, Microsoft Office Suite, and data analytics tools . Ability to mentor and develop junior audit professionals.

Overview Strategically design Test processes and lead development of Manufacturing Test solutions and applications involving electro mechanical Hardware and Software code development. Primary role is to design and develop solutions using latest tools and technologies to create most efficient and optimized manufacturing processes. This role requires innovative mindset to create new and different to influence and provide direction to leadership teams to adopt new manufacturing technologies positively impacting Zebra business. This position offers future advancements to the right candidate into leadership roles in Technical operations arm of Supply chain to lead, develop, automate, optimize and innovate Manufacturing Test strategies & solutions, for wide range of Zebra offered products and solutions. Responsibilities • Lead designing and architecting Test Strategies and solutions along with their execution with other team members. • Co-develop, strategize and lead projects in manufacturing space to create low cost, highly efficient and sustainable processes within Zebra adopted framework of Industrial standards. • Test software development along with hardware design of manufacturing test systems for calibration & functional testing of electronic devices and opto-mechanical electronic products. Such products include specialty printers, mobile computers, laser & imaging scanning products. • Document test solutions, drawings, schematics and specifications as per departmental practices. • Perform Measurement validation and acceptance criteria using Measurement System Analysis (MSA) tools to validate the designed test system (Cpk, GR&R). • Support product testing during the New Product Introduction (NPI) phase as well as sustaining support. • Lead in Benchmarking test solutions to latest technologies and trends in manufacturing environment with the goal to improve product quality, line efficiencies and throughput within LSS and I4.0 Framework • Makes changes to or upgrades existing systems. Enhances and improves existing technologies to apply to new solutions seeking new tools to analyze and solve problems. • Be able to echange ideas and articulate designs for test systems with peers and others in solution architectiure Qualifications • Minimum Education: o Bachelors Degree in Engineering(Electronics/Computer Sc./Physics) or Major in Physics • Minimum Work Experience (years): o 8 +Yrs. • Key Skills and Competencies: o Expert in (5+ yrs.) Python scripting, Labview, C++ o Minimum 2 yrs of experience in use of Data analytics tools and development – Power BI/Looker o Expert in Technical analysis with problem-solving capability associated with the manufacturing or functionality of electronic systems • Licenses/Certifications, special qualifications: o S/W development - training certifications • Equivalencies: o 5 yrs experience in S/w coding Position Specific Information: • Travel Requirements (as a % of time): 15-25% • Able to telework? Yes/no – if yes, % of time and expectations while teleworking: Yes. 30% - 40%Remote operation and provindig support.

As a Logistics Manager, you will be responsible for strategically planning and managing logistics, warehouse, transportation, and customer services. Your role will involve leading and managing staff, liaising and negotiating with suppliers and manufacturers, and ensuring the quality, quantity, stock levels, delivery times, transport costs, and efficiency are all maintained at optimal levels. It will be essential to meet cost, productivity, accuracy, and timeliness targets while also resolving any arising problems or complaints. In this position, you must comply with all relevant laws and regulations, select carriers/suppliers, and monitor their service against performance criteria. Negotiating rates and contracts with transportation and logistics providers will also be a key part of your responsibilities. Strong interpersonal, negotiation, and influencing skills will be necessary for effective communication and collaboration in this role. Key skills that are required for this position include inventory management, transportation management, logistic regression, and productivity. If you have a proven working experience as a Logistics Manager and can demonstrate your ability to excel in these areas, we encourage you to apply for this challenging and rewarding opportunity.,

The Manager - Data Science Product plays a crucial role in developing and delivering the product vision and roadmap in collaboration with product developers, data engineers, and data analysts at Majid Al Futtaim Retail. The focus is on spearheading the Advanced Analytics transformation within the organization. As part of the Retail Analytics Unit, the Manager will contribute to building and developing the analytics talent necessary to support the advanced analytics agenda. Team members are encouraged to shape the unit's trajectory and bring their ideas to life. The Manager will be instrumental in enhancing the Advanced Analytics value proposition in alignment with Majid Al Futtaim's digital and non-digital objectives. Responsibilities include designing, testing, and implementing data models, developing methodologies to estimate business value and track solution adoption, leveraging quantitative analysis expertise to build high-quality statistical models, and enhancing algorithms for structured/unstructured Retail Analytics problems. The Manager will lead the development of scalable models, validate and optimize model performance, run experiments to assess results, and develop impact measurement frameworks. Additionally, they will ideate and develop proof of concepts for new analytics initiatives, focusing on customer-centric approaches and optimizing user experience and business operations. Coordination and communication are essential aspects of the role, involving acting as a thought partner to the analytics team and key stakeholders, liaising with the product team, ensuring regular information exchange with stakeholders, and contributing to presentations on advanced analytics and performance. The Manager will also build relationships with key personnel, collaborate with stakeholders to ensure clarity on specifications, and support the development of policies and procedures for the Retail Analytics Unit. Furthermore, the Manager will be responsible for preparing business presentations and reports, conducting audits of processes and databases, and supporting the development and implementation of relevant policies and procedures. Minimum qualifications include a Bachelor's Degree in an IT-related field or Computer Engineering, with a preference for a Master's Degree in a similar field. The ideal candidate should have 5-8 years of experience in a senior Data Scientist role, preferably within the Retail/FMCG sector, along with expertise in visualization tools, programming languages, algorithm/modeling techniques, machine learning model deployment, and data visualization software. In summary, the Manager - Data Science Product at Majid Al Futtaim Retail will lead the development and delivery of the product vision and roadmap, contribute to the organization's Advanced Analytics transformation, and play a key role in enhancing the Advanced Analytics value proposition in alignment with long-term objectives. The role involves a diverse set of responsibilities, including designing data models, developing methodologies, leading solution development processes, and collaborating with stakeholders to drive business objectives and maintain strong partnerships.,

Job Location: Nashik Position: Sports Data Analyst Number of Vacancies: 150180 Eligibility: Qualification: Any Graduate (Completed), especially BCA / BCS / BCom / Diploma / Degree Age Limit: 22 to 26 years Basic computer knowledge Gender: Male( Priority ) / Female Experience: Freshers Salary Package: 1.44 LPA 3.5 LPA (Basically 12K starting salary ) Job Responsibilities: Analyze sports gameplay videos using our advanced software tools Annotate key events, player movements, and in-game strategies Provide accurate and detailed video analysis reports

Lowes 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, Lowes operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Mooresville, N.C., Lowes 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. Lowes India, the Global Capability Center of Lowes Companies Inc., is a hub for driving 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. Lowes India plays a pivotal role in transforming home improvement retail while upholding a strong commitment to social impact and sustainability. The Customer Insights team at Lowes uses data and analytics capabilities to provide strategic insights around customer and competitive landscape to help drive effective market strategy. The team works closely with various key functions across the business to provide insights and recommendations across different business areas. They track, report, and analyze various customer and market-related metrics to generate actionable insights on key customer segments, customer experience, and market position. The primary responsibility of the Customer Insights Analyst is to report, analyze, and provide insights on Customer Experience at Lowes 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 drive improvement in those metrics. Responsibilities include analyzing Customer feedback, LTR, NPS data to understand in-market trends, working with the US team to define reporting/analysis needs, identifying key customer trends through various analysis techniques, synthesizing disparate data sources to develop cohesive stories, and providing holistic insights on Customer Experience trends and Strategy. The ideal candidate should have 3-5 years of hands-on experience in Customer Experience Analytics/Customer Analytics/Customer Insights. A Masters degree in Economics/Statistics/Analytics or an MBA in Marketing is required. Primary skills should include hands-on experience in SQL, Teradata, Hadoop, Python, building Statistical/Mathematical models, and multivariate analysis. Consulting skills and excellent communication skills are essential to impact business decisions through analytics and research. Experience with text data, Customer Experience or Voice of Customer Metrics, and familiarity with the retail industry are desired skills for this role. The candidate should be proactive in applying modern tools and techniques to improve efficiency, accuracy, and overall quality of insights offered to stakeholders.,

You should have 5 to 7 years of experience in Data Science or Machine Learning roles. Your proven ability should cover working on end-to-end ML projects, from research to production. It is essential to conduct in-depth machine learning research and stay updated with state-of-the-art advancements, including reading, interpreting, and implementing research papers, especially in the Generative AI domain. Your responsibilities will also include mentoring and guiding junior data scientists and interns in executing real-world projects. You should be able to design and build machine learning and deep learning models to solve complex business challenges. Working collaboratively across teams to turn data into decisions and models into products is a crucial aspect of the role. Having a strong foundation in Statistics and Probability is essential. You should also possess advanced proficiency in Python for data science and ML workflows. Hands-on experience with key libraries such as Scikit-learn, Keras, TensorFlow, and PyTorch is required. Expertise in core ML algorithms like Linear/Logistic Regression, Decision Trees, Gradient Descent, and SVMs is expected. Deep familiarity with Transformer architectures and working with Large Language Models (LLMs) is a plus. Experience with frameworks like Langchain or LlamaIndex for building LLM-based applications will be beneficial. Your ability to turn theoretical models into production-ready code with clarity and precision is highly valued in this role.,

The Manager - Data Science Product at Majid Al Futtaim Retail in India plays a crucial role in developing and delivering the product vision and roadmap in collaboration with product developers, data engineers, and data analysts. This position involves spearheading the Advanced Analytics transformation within the organization. The Manager will contribute to building analytics talent to support the advanced analytics agenda and shape the trajectory of the Retail Analytics Unit. By leveraging quantitative analysis, data mining, and data manipulation, the Manager will design and implement data models, develop advanced statistical models, and enhance algorithms to address Retail Analytics problems. Responsibilities also include leading the solution development process, running experiments to assess model results, and developing impact measurement frameworks. The Manager will ideate and develop proof of concepts for new analytics initiatives, aiming to optimize user experience and business operations. Additionally, the role involves coordinating with various stakeholders, liaising with the product team, and ensuring regular information exchange on project progress. Building relationships and maintaining partnerships with key personnel are essential to achieve organizational goals. Furthermore, the Manager will be responsible for preparing business presentations and reports related to Retail Analytics, performing regular audits of processes and databases, and contributing to the development and implementation of relevant policies and procedures. The ideal candidate should possess a Bachelor's Degree in an IT-related field or Computer Engineering, with a preference for a Master's Degree. A minimum of 5-8 years of experience in a senior Data Scientist role in an international environment, along with expertise in Retail/FMCG business, is required. Proficiency in programming languages like Python/SQL/PySpark, knowledge of algorithm/modeling techniques, and experience in deploying machine learning models on cloud services are essential skills for this role. The Manager - Data Science Product at Majid Al Futtaim Retail must have experience in visualization tools such as PowerBI, Qlik, and BO, as well as familiarity with various programming languages and modeling techniques. The candidate should also possess experience in deploying machine learning models on cloud services, time series forecasting, boosting algorithms, optimization techniques, NLP, recommendation systems, and data visualization software. Advanced experience in Azure, Spark, and git, along with a basic understanding of web application frameworks, is beneficial. Strong problem-solving skills, a collaborative mindset, and proactive attitude are essential attributes for this role.,

Genpact (NYSE: G) is a global professional services and solutions firm dedicated to shaping the future through the delivery of impactful outcomes. With a workforce of over 125,000 individuals spanning across 30+ countries, we are inspired by our innate curiosity, entrepreneurial agility, and commitment to creating enduring value for our clients. Our purpose, driven by the relentless pursuit of a world that works better for people, empowers us to serve and transform major enterprises, including the Fortune Global 500, leveraging our deep business and industry expertise, digital operations services, and proficiency in data, technology, and AI. We are currently seeking applications for the position of Business Analyst - Data Scientist. As a part of this role, you will be tasked with the development and implementation of NLP models and algorithms, extracting insights from textual data, and collaborating with cross-functional teams to deliver AI solutions. Responsibilities: Model Development: - Proficiency in various statistical, ML, and ensemble algorithms. - Demonstrated expertise in Time series algorithms and forecasting use cases. - Ability to discern model-specific strengths and weaknesses and identify suitable models for different problem types. - Understanding of evaluation metrics and the ability to recommend the correct evaluation metric for a given problem. Data Analysis: - Extraction of meaningful insights from structured data. - Data preprocessing for ML/AI applications. Collaboration: - Close collaboration with data scientists, engineers, and business stakeholders. - Providing technical guidance and mentorship to team members. Integration and Deployment: - Integration of ML models into production systems. - Implementation of CI/CD pipelines for continuous integration and deployment. Documentation and Training: - Documentation of processes, models, and results. - Provision of 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. - Strong programming skills in Python and R. - Experience with DS frameworks (SKLEARN, NUMPY). - Knowledge of machine learning concepts and frameworks (TensorFlow, PyTorch). - Strong problem-solving and analytical skills. - Excellent communication and collaboration abilities. Preferred Qualifications/Skills: - Experience in Predictive Analytics and Machine Learning techniques. - Proficiency in Python/R/Any other open-source programming language. - Experience with visualization tools such as Tableau, Power BI, Qlikview, etc. - Applied statistics skills including distributions, statistical testing, regression, etc. - Knowledge and experience with various tools and techniques in Forecasting, Linear Regression, Logistic Regression, Regularization, Segmentation, Cluster Analysis, Factor Analysis, Machine Learning (Random Forest, Gradient Boosting, SVM, XGBoost, Deep Learning), etc. - Familiarity with big data technologies (Hadoop, Spark) and cloud platforms (AWS, Azure, GCP). This is a full-time position located in India-Hyderabad. If you are a dynamic professional with a passion for driving innovation and creating impactful solutions, we invite you to apply for this exciting opportunity.,

As a Manager within the Data Science function at MX, you will lead a team of advanced analytics professionals to leverage a world-class financial data asset for performing in-depth consumer-level analytics, leading big data research projects, enhancing overall system accuracy, designing and executing operational tests, and automating repetitive tasks. Your role will involve overseeing the design and execution of operational tests, providing recommendations based on careful analysis and business acumen, and demonstrating superior problem-solving skills. You will be responsible for building, developing, and managing a high-performing team of 3-8 data scientists and analysts. Your focus will be on coaching and mentorship to enhance analytical best practices, data visualization, storytelling, and personal career development. Leading modelling projects, operational tests, data mining, and exploratory work will also be part of your duties. Additionally, you will translate unstructured business problems into well-defined analytic projects and provide analytic leadership within the MX community. To qualify for this role, you should hold a Master's degree (Ph.D. preferred) in a quantitative discipline with significant coursework in statistics or econometrics. Previous experience in building predictive models and managing analytic teams is preferred. Strong knowledge of structured programming languages, database query languages, statistical modeling, and machine learning approaches is required. Critical thinking skills, intellectual curiosity, and a drive to tackle demanding goals are essential qualities for this position. This role will require you to work in the office for a standard 40-hour workweek to facilitate collaboration, communication, quick decision-making, and spontaneous collaboration among team members. The compensation for this role will include a base salary and other forms of cash compensation. Please note that applicants applying for this position must have the legal right to work in India without the need for sponsorship. Proof of eligibility to work in India will be required as part of the hiring process.,

You will be heading the Data Analytics and AI team within the Enterprise Technology Group with a primary purpose of leading and developing a robust team focused on driving the company towards a data-first and data-driven organization. Your role will involve delivering and maintaining smart data-driven solutions essential for growth and operational efficiency. Accelerating the adoption and implementation of AI solutions to enhance innovation and competitive advantage will be a key aspect. Managing all aspects of new data analytics and AI projects from inception to delivery, including day-to-day operations, will be crucial, with a strong emphasis on assessing business value, ROI, and cost reduction. The ideal candidate should hold a Bachelor's or Master's degree in Computer Science, Math, Quantitative Methods, or Information Systems, with over 10 years of overall technology experience, including substantial experience in data analytics and AI. Proficiency in programming languages such as Python, R, or similar, as well as a deep understanding of algorithms like linear regression, logistic regression, decision trees, random forest, boosting algorithms (e.g., XGBoost), k-means, hierarchical clustering, and principal component analysis is preferred. Familiarity with data science concepts, statistical and mathematical methods, and various Data & AI technologies/tools is essential. Located in Mumbai, this is a full-time office-based position within the Enterprise Technology Group, reporting to the Head of the same group. The key responsibilities will include leading and developing a strong data analytics and AI team, establishing best practices for data analytics and responsible AI initiatives, managing all stages of AI and LLM projects, collaborating with stakeholders to gather requirements, and implementing advanced models and algorithms to solve complex business problems. Staying updated with the latest advancements in AI and LLM technologies will also be a critical aspect of the role. Key behavioral strengths required for this position include excellent analytical, problem-solving, and decision-making skills, proven leadership abilities, effective communication and collaboration skills, and the capacity to work with diverse stakeholders. Joining CulverMax Entertainment Pvt Ltd will offer you the opportunity to work with some of India's leading entertainment channels and OTT platforms, alongside a progressive and inclusive work culture that celebrates diversity and innovation. As a part of the team, you will contribute to creating exceptional content and experiences while being recognized as an Employer of Choice in various prestigious awards and accolades.,

As a Senior Analyst, Internal Audit - Data Scientist at Synchrony, you will play a crucial role in enhancing the organization's governance, risk management, and controls through data science and data engineering development within the Internal Audit department. Reporting to the VP, Internal Audit - Innovation and Advanced Analytics leader, you will be responsible for creating advanced analytics solutions to improve decision-making processes and provide robust data analytics support to audit teams. Your work will focus on generating actionable insights to enhance audit efficiency, automate processes, and drive continuous improvement in audit practices. Your key responsibilities will include delivering advanced analytics to support the audit plan, designing and deploying analytic scripts and dashboards, ensuring data accuracy and integrity through data transformation techniques, and collaborating with internal audit teams and stakeholders to drive data-driven opportunities and integration of data insights into action plans. Additionally, you will lead projects from ideation to presentation of results and recommendations, leveraging your skills in SQL/SAS queries, Python coding, data visualization tools like Tableau or Power BI, and model development techniques. To be successful in this role, you should possess a Bachelor's degree in Engineering, Computer Science, Data Science, or a related field with at least 3+ years of experience in writing and optimizing SQL/SAS queries in a business environment. Knowledge of data warehouse architecture, ETL tools, and proficiency in Python coding are essential, along with experience in data manipulation from multiple sources and familiarity with segmentation and model development techniques. Strong communication, relationship building, project management, and collaboration skills are also required. Desired skills include the ability to drive change and transformation, experience in internal audit functions, project management skills, and proficiency in Tableau, Power BI, and the Microsoft Power Platform. This remote position offers flexibility and choice, allowing you to work from home with occasional in-person engagement activities. The work timings require availability between 06:00 AM Eastern Time and 11:30 AM Eastern Time, with flexibility in the remaining hours. Eligibility criteria include the specified educational background and experience with SQL/SAS queries. If you are an internal applicant, ensure you understand the role requirements, inform your manager and HRM before applying, update your professional profile, and meet the eligibility criteria based on your current grade/level within the organization. This role is at Grade/Level 09 in the Internal Audit job family group at Synchrony.,

You should have expertise in Generative AI with a good understanding of various techniques such as GANs, VAEs, and other relevant architectures. Your experience should include applying these techniques to real-world problems like image and text generation. Familiarity with Gen AI development tools like Prompt engineering, Langchain, Semantic Kernels, and Function calling is required. Exposure to both API-based and open-source LLMs based solution design is preferred. In terms of technical proficiency, you should have knowledge in machine learning algorithms including linear regression, logistic regression, decision trees, random forests, support vector machines, and neural networks. Proficiency in data science tools like NumPy, SciPy, Pandas, Matplotlib, TensorFlow, and Keras is essential. Experience with cloud computing platforms such as AWS, Azure, and GCP is also necessary. Additionally, familiarity with natural language processing (NLP), Transformer models, attention mechanisms, word embeddings, computer vision, convolutional neural networks, recurrent neural networks, object detection, robotics, reinforcement learning, motion planning, and control systems is required. Understanding data ethics including bias in machine learning and fairness in algorithms is also expected. As an Infoscion, your responsibilities will include diagnosing customer issues, designing innovative solutions, facilitating deployment, and ensuring client satisfaction. You will be involved in developing proposals, solution design, product configuration, conducting pilots, resolving queries, demonstrating solutions, and preparing effort estimates. Leading small projects and contributing to organizational initiatives to provide high-quality solutions to customers is also part of the role. Your primary skills should encompass Artificial Intelligence, Computer Vision, Big Data, and Natural Language Processing (NLP). Proficiency in Machine Learning with Python is a must. Moreover, you should have the ability to develop value-creating strategies, knowledge of software configuration management systems, and awareness of the latest technologies and industry trends. If you possess the required skills and are keen on helping clients navigate their digital transformation journey, this opportunity at Infosys is ideal for you.,

You will play a crucial role as part of a team of scientists collaborating closely with external clients to develop efficient predictive models, analyze and validate production model behavior, and ensure optimal model performance. This role will provide opportunities to support the internal technology team in model development and engage in sales activities pertaining to the assessment of models for various client environments. Your contributions will involve building and assessing predictive and decision models for deployment in production systems or research. This encompasses analyzing extensive historical data, determining suitability for modeling, data cleanup and filtering, pattern identification, variable creation, selection of sampling criteria, defining and generating performance metrics, conducting experiments with diverse algorithms and models, and assessing performance to determine the most effective algorithms for implementation. You will assist in the deployment of models into production by conducting production data validations and analyzing score distributions of models in production. Additionally, you will apply data mining techniques to thoroughly analyze model behavior and provide support for customer meetings, model construction, and pre-sales activities. Managing projects within time and resource constraints, collaborating with other teams within FICO, and providing high-quality support to facilitate the integration and deployment of analytics software and solutions will also be part of your responsibilities. You may also participate in post-implementation support. The ideal candidate will possess an MS degree in a statistics, engineering, mathematics, computer science, physics, or operations research field. A PhD is preferred. Some relevant industry experience in predictive modeling and data mining or a PhD without related experience is desirable. Proficiency in Perl/Python, C, C++, or Java, along with familiarity with basic software design principles, coding standards, and best practices, is required. Experience in analyzing large datasets, applying data-cleaning techniques, and conducting statistical analyses to comprehend dataset structures is essential. Knowledge of Bayesian networks, PCA, independent component analysis, linear and logistic regressions, inference, estimation, experimental design, neural networks, and SVM is preferred. We offer an inclusive culture that embodies our core values: Acting Like an Owner, Delighting Our Customers, and Earning the Respect of Others. You will have the opportunity to create an impact and enhance your professional growth by leveraging your unique strengths and engaging in valuable learning experiences. We provide highly competitive compensation, benefits, and rewards programs that encourage you to deliver your best every day and be acknowledged for your efforts. Our engaging, people-first work environment promotes work-life balance, offers employee resource groups, and hosts social events to foster interaction and camaraderie.,

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