539 Logistic Regression Jobs - Page 21

Job Role: Data scientists will develop and maintain statistical models, apply machine learning techniques and build high-quality predictive/prescriptive systems. The Sr data scientist will also make technology and business recommendations, as well as develop key insights based on data analysis. The candidate must be able to partner with business stakeholders in order to cure business problem statements and guide which business priorities using data. About NAM NAM Info Inc. a talent management organization specializes in IT Services delivery and Product development. Job Title: Data Scientist / Lead Data Scientist Company: NAM Info Private Limited Location: Bangalore (Work from Office all 5days a week) Experience: 8-12 Years Positions: 2 Data Scientists & 1 Lead Data Scientist Joining: Immediate joiners preferred (within 15 days) Interview Process: Round 1: Virtual Round 2: Face-to-face Academic Qualifications: Engineering / B Tech or Masters in Computer SCience Responsibilities: Strong knowledge and hands on experience in exploration data analysis (EDA) Require reasonable exposure to Retail domain. 2+yrs of experience in ML Model Experience where the candidate has built and deployed Machine learning models at scale Must have Comfortable in Python (Coding) and build the model understanding concept Experience in feature engineering: Experience in building derived variable and hyperparameter tuning Types of models experience expected: Classification models, Regression models, Clustering, Forecasting (Experience in Machine Learning and Deep Learning Techniques) Experience with Hadoop, Apache Spark, Kafka, and cloud platforms (AWS, GCP, Azure). Proficient with EC2, S3, RDS, Lambda, Snowflake, and big data technologies. Data Visualization and BI Tools: Created interactive dashboards and reports using Tableau, Power BI, and D3.js to facilitate data-driven decision-making. Must have worked on banking use cases like cross sell, upsell, customer retention, customer acquisition, customer servicing, personalization, ATM optimization, Branch analytics Expertise in data science mining and Time Series, modeling, deep learning, CNN, clustering, boosting, classification, predictive modeling, LSTM, and LLMs. Note: Apply only if you meet the Expectation criteria which mentioned in the Job Description. Send profiles to narasimha@nam-it.com Thanks & regards, Narasimha.B Staffing executive NAM Info Pvt Ltd, 29/2B-01, 1st Floor, K.R. Road, Banashankari 2nd Stage, Bangalore - 560070. +91 9182480146 (India) Email - narasimha@nam-it.com

Bachelor's /Master's /PhD degree in a quantitative field (CS, Machine learning, Mathematics, Economics, Statistics, Data Science) Preferred Institution: NIT, ISI, Any - Scool of Economics Responsibilities: Serve as expert in Data Science, build framework to develop Production level DS/AI models. Apply AI research and ML models to accelerate business innovation and solve impactful business problems for our clients. Partner with business and technical stakeholders to translate challenging business problems into state-of-the-art data science solutions. Present results, insights, and recommendations to senior management with an emphasis on the business impact. Build engaging rapport with client leadership through relevant conversations and genuine business recommendations that impact the growth and profitability of the organization. Required Skills: Expertise in ML - Regression, Classification, Clustering, Time Series Modeling, Graph Network, Recommender System, Bayesian modeling, Deep learning, Computer Vision, NLP/NLU, Reinforcement learning, Federated Learning, Meta Learning. Proficient in some or all of the following techniques: Linear & Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Support Vector Machines ANOVA, Principal Component Analysis, Gradient Boosted Trees, ANN, CNN, RNN, Transformers. Expertise in programming languages SQL, Python/ R, Spark. Expertise in ML frameworks and libraries (TensorFlow, Keras, PyTorch). Experience with cloud computing services Azure. Expert in Statistical Modelling & Algorithms E.g. Hypothesis testing, Sample size estimation, A/B testing. Knowledge in Mathematical programming - Linear Programming, Mixed Integer Programming etc , Stochastic Modelling - Markov chains, Monte Carlo, Stochastic Simulation, Queuing Models. Experience with Optimization Solvers (Gurobi, Cplex) and Algebraic programming Languages(PulP). Knowledge in GPU code optimization, Spark MLlib Optimization. Familiarity to deploy and monitor ML models in production, delivering data products to end-users. Experience with ML CI/CD pipelines.

Bachelor's /Master's /PhD degree in a quantitative field (CS, Machine learning, Mathematics, Economics, Statistics, Data Science) Preferred Institution: NIT, ISI, Any - School of Economics Required Skills: Expertise in ML - Regression, Classification, Clustering, Time Series Modeling, Graph Network, Recommender System, Bayesian modeling, Deep learning, Computer Vision, NLP/NLU, Reinforcement learning, Federated Learning, Meta Learning. Proficient in some or all of the following techniques: Linear & Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Support Vector Machines ANOVA, Principal Component Analysis, Gradient Boosted Trees, ANN, CNN, RNN, Transformers. Expertise in programming languages SQL, Python/ R, Spark. Expertise in ML frameworks and libraries (TensorFlow, Keras, PyTorch). Knowledge in cloud computing services Azure. Expert in Statistical Modelling & Algorithms E.g. Hypothesis testing, Sample size estimation, A/B testing. Knowledge in Mathematical programming - Linear Programming, Mixed Integer Programming etc , Stochastic Modelling - Markov chains, Monte Carlo, Stochastic Simulation, Queuing Models. Familiarity to deploy and monitor ML models in production, delivering data products to end-users.

About Team Myntra Data Science team delivers a large number of data science solutions for the company which are deployed at various customer touch points every quarter. The models create significant revenue and customer experience impact. The models involve real-time, near-real-time and offline solutions with varying latency requirements. The models are built using massive datasets. You will have the opportunity to be part of a rapidly growing organization and gain exposure to all the parts of a comprehensive ecommerce platform. You ll also get to learn the intricacies of building models that serve millions of requests per second at sub second latency. The team takes pride in deploying solutions that not only leverage state of the art machine learning models like graph neural networks, diffusion models, transformers, representation learning, optimization methods and bayesian modeling but also contribute to research literature with multiple peer-reviewed research papers. Roles and Responsibilities Responsible for developing data science and machine learning models for Myntra Storefront, Supply Chain and other areas Conversant with machine learning life cycles, model deployments etc. Theoretical understanding and practice of machine learning and expertise in one or more of the topics, such as Time Series, Forecasting and Optimization. Collaborating with Product and Business to formulate the problem into a Machine Learning model. Connecting with Platforms and Engineering teams to make sure the predictive models built are deployed and integrated into the systems. Working with the Data Platforms teams for understanding, and collecting the data. Qualifications & Experience Knowledge on data structures, algorithms and efficient processing of large datasets Well-versed with Python. Good to have publications. 2-4 years of experience with MTech, MS by Research or PhD in Computer Science/Electrical Engineering, or post graduate degree in Statistics, Operations Research, or Mathematics Experience in developing efficient Time Series and forecasting solutions. Good to have some experience with large-scale nonlinear & integer programming algorithms - hands on with optimization solvers (CPLEX, Gurobi, COIN-OR etc.) Good to have skills in general Machine Learning and Deep Learning such as Natural Language Processing (NLP): Skills in NLP to develop models that understand and generate human language. Computer Vision: Knowledge of computer vision techniques to interpret images and videos, including object identification and classification. DevOps: Familiarity with DevOps principles and practices for deploying and managing machine learning models in production environments LLM and GenAI Models: Understanding of Large Language Models (LLM) and Generative AI (GenAI) models, including prompt engineering, model evaluation, optimization, and deployment. Domain Knowledge: Expertise in a specific industry or field, enabling better understanding of data and business needs. Ethical Data Science: Awareness of ethical considerations in data science, including privacy, bias and fairness. Collaboration: Strong communication and teamwork skills for effective collaboration with cross-functional teams, including engineers, product managers, and designers.

We are looking for a skilled professional with 8 to 14 years of experience to join our team as an Assistant Manager - Analytics in Hyderabad. The ideal candidate will have a strong background in analytics and data management, with excellent problem-solving skills. Roles and Responsibility Develop and implement advanced analytics models to drive business growth and improvement. Collaborate with cross-functional teams to identify and prioritize business needs. Design and maintain large-scale databases and data systems for data-driven decision-making. Analyze complex data sets to extract insights and trends that inform business strategy. Develop and present reports and dashboards to senior management and stakeholders. Stay up-to-date with industry trends and emerging technologies in analytics and data management. Job Requirements Strong understanding of CRM/IT Enabled Services/BPO industry operations and challenges. Proven experience in managing large datasets and developing advanced analytics models. Excellent problem-solving skills and ability to work in a fast-paced environment. Strong communication and collaboration skills, with the ability to work with diverse teams. Ability to analyze complex data sets and extract meaningful insights. Experience with data visualization tools and reporting software.

Type : Internship Duration: 6 months Position Overview: We are seeking a Data Analyst - Return Experience to support analytics and insights for improving the return process and fraud reduction. The role involves working closely with cross-functional teams to monitor return metrics, identify fraud, inefficiencies, and provide actionable insights. The ideal candidate will have to be a self-starter, must have a strong analytical mindset, a passion for solving complex problems, and have the ability to work with large datasets with great ease Key Responsibilities:. Analyze data to identify inefficiencies in current workflows and recommend data-backed solutions. Regularly monitor, analyze and provide insights related to return metrics such as fraud, fraud rates, return speed, return rate, and customer feedback. Assist in identifying fraud patterns and inefficiencies within the return supply chain. Create visual dashboards and reports for easy consumption by stakeholders. Monitor return speed and identify areas for quality improvement in reverse logistics. Track key OKRs impacting seller experience and provide actionable insights to stakeholders. Support automation of reports and dashboards to streamline data reporting processes. Provide data insights to help stakeholders improve return operations and fraud prevention processes. Qualifications: Bachelor s degree in a relevant field (e.g., Data Analytics, Statistics, Mathematics, Computer Science). 0-2 years of experience in data analytics or a related field. Proficiency in SQL, Python and Microsoft excel Basic understanding of Python or R for data analysis (preferred but not mandatory). Strong analytical and problem-solving skills, with attention to detail. Good communication skills and the ability to collaborate with cross-functional teams. Eagerness to learn and grow in a fast-paced, data-driven environment.

We are looking for a Senior Data Scientist who is passionate about solving complex business problems using data. The ideal candidate will have strong hands-on experience in Python , SQL , and advanced machine learning algorithms , along with domain expertise in forecasting , pricing optimization , or inventory planning . You will work closely with cross-functional teams including product, engineering, and business stakeholders to drive data-driven strategies. Key Responsibilities: Design, build, and deploy predictive and optimization models for use cases such as demand forecasting , dynamic pricing , or inventory optimization . Translate business problems into analytical frameworks and provide actionable insights. Build and maintain scalable data pipelines and model workflows using Python and SQL. Collaborate with data engineers to ensure model integration into production systems. Present findings and recommendations to leadership using data visualizations and storytelling. Stay current with the latest techniques in machine learning , statistics , and operations research . Lead and mentor junior data scientists and analysts when required. Required Skills and Experience: 5+ years of experience in a Data Science or Analytics role with a strong business impact. Strong programming skills in Python (pandas, scikit-learn, statsmodels, etc.). Proficiency in SQL for data extraction, transformation, and manipulation. Deep understanding of machine learning algorithms (regression, classification, clustering, time series forecasting). Experience with one or more of the following domains: Demand Forecasting Price Optimization Inventory Optimization / Supply Chain Analytics Strong problem-solving and quantitative skills. Experience working with large datasets and distributed computing tools (e.g., Spark, Hadoop) is a plus. Familiarity with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn). Preferred Qualifications: Masters or PhD in Computer Science, Statistics, Mathematics, Economics, Operations Research, or a related field. Experience in retail, e-commerce, manufacturing, or logistics is a strong plus. Exposure to optimization libraries (e.g., PuLP, OR-Tools, Gurobi) is a bonus. Experience deploying models using MLOps tools or platforms is a plus.

Project Role : Business Process Architect Project Role Description : Analyze and design new business processes to create the documentation that guides the implementation of new processes and technologies. Partner with the business to define product requirements and use cases to meet process and functional requirements. Participate in user and task analysis to represent business needs. Must have skills : Business Analysis, Real Time Character Modeling, Google Cloud Data Services Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Business Process Architect, you will analyze and design new business processes to create documentation for implementing new processes and technologies. Partner with the business to define product requirements and use cases, and participate in user and task analysis to represent business needs. 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.- Expected to provide solutions to problems that apply across multiple teams.- Develop innovative business process models.- Implement process improvements to enhance efficiency.- Conduct process audits to ensure compliance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Business Analysis, Google Cloud Data Services, Real Time Character Modeling.- Strong understanding of process optimization techniques.- Experience in business process reengineering.- Knowledge of process mapping and modeling tools.- Ability to conduct business process analysis. Additional Information:- The candidate should have a minimum of 12 years of experience in Business Analysis.- This position is based at our Mumbai office.- A 15 years full-time education is required. Qualification 15 years full time education

Project Role : Business Function Implement Practitioner Project Role Description : Support the implementation of activities for a specific business function to improve performance for a function end to end. Activities include analyzing and designing/re-designing business processes and/or defining parts of an organization. Must have skills : Platform as a Service Providers (PaaS) Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Business Function Implement Practitioner, you will support the implementation of activities for a specific business function to improve performance for a function end to end. This includes analyzing and designing/re-designing business processes and/or defining parts of an organization. You will have the opportunity to contribute to the success of the organization by leveraging your expertise in Platform as a Service Providers (PaaS) and collaborating with cross-functional teams. 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- Contribute to the implementation of activities for a specific business function- Analyze and design/re-design business processes- Define parts of an organization Professional & Technical Skills: - Must To Have Skills: Proficiency in Platform as a Service Providers (PaaS)- 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 Platform as a Service Providers (PaaS)- This position is based at our Bengaluru office- A 15 years full time education is required Qualification 15 years full time education

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models. You will play a crucial role in the development and maintenance of the data platform components, contributing to the overall success of the project. 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.- Assist with the data platform blueprint and design.- Collaborate with Integration Architects and Data Architects to ensure cohesive integration between systems and data models.- Develop and maintain data platform components.- Contribute to the overall success of the project. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- 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 7.5 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Bengaluru office.- 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models. You will play a crucial role in the development and maintenance of the data platform components, contributing to the overall success of the project. 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.- Assist with the data platform blueprint and design.- Collaborate with Integration Architects and Data Architects to ensure cohesive integration between systems and data models.- Develop and maintain data platform components.- Contribute to the overall success of the project. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- 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 Databricks Unified Data Analytics Platform.- This position is based at our Pune 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 : Oracle Procedural Language Extensions to SQL (PLSQL) Good to have skills : Informatica PowerCenterMinimum 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 solutions that align with business objectives, and ensuring that applications are optimized for performance and usability. You will also engage in problem-solving activities, providing support and enhancements to existing applications while ensuring that all development adheres to best practices and standards. 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 Oracle Procedural Language Extensions to SQL (PLSQL).- Good To Have Skills: Experience with Informatica PowerCenter.- Strong understanding of database design and optimization techniques.- Experience in developing and maintaining complex SQL queries.- Familiarity with application development methodologies and best practices. Additional Information:- The candidate should have minimum 5 years of experience in Oracle Procedural Language Extensions to SQL (PLSQL).- This position is based at our Hyderabad 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 : SAP Master Data Governance MDG Tool Good to have skills : Accenture Delivery Methods (ADM)Minimum 7.5 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. Your typical day will involve collaborating with teams, making team decisions, and providing solutions to problems for your immediate team and across multiple teams. You will engage with multiple teams and contribute to key decisions, ensuring the successful performance of the team. With your expertise in SAP Master Data Governance MDG Tool, you will play a crucial role in developing and implementing applications. 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, build, and configure applications to meet business process and application requirements- Ensure the successful performance of the team- Develop and implement applications Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP Master Data Governance MDG Tool- Good To Have Skills: Experience with Accenture Delivery Methods (ADM)- 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 7.5 years of experience in SAP Master Data Governance MDG Tool- 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 : SAP Plant Maintenance (PM) Good to have skills : Accenture Delivery Methods (ADM) Estimators, Accenture Delivery Methods (ADM)Minimum 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 and implemented efficiently and effectively. Your typical day will involve collaborating with the team to perform tasks, making team decisions, and engaging with multiple teams to contribute to key decisions. Additionally, you will provide solutions to problems for your immediate team and across multiple teams, showcasing your problem-solving skills and 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- Ensure efficient and effective development and implementation of applications- Design and build applications to meet business process and application requirements- Contribute to the decision-making process for application development Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP Plant Maintenance (PM)- Good To Have Skills: Experience with Accenture Delivery Methods (ADM) Estimators- 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 SAP Plant Maintenance (PM)- This position is based at our Pune office- A 15 years full time education is required Qualification 15 years full time education

Educational Requirements Bachelor of Engineering Service Line AI & Automation Service Line Responsibilities Responsibilities Anchor ML development track in a client project Data collection, profiling, EDA & data preparation AI Model development, experimentation, tuning & validation Present findings to business users & project management teams Propose ML based solution approaches & estimates for new use cases Contribute to AI based modules in Infosys solutions development Explore new advances in AI continuously and execute PoCs Mentoring – Guide junior team members & evangelize AI in organizationTechnical skills ProgrammingPython, R, SQL ML algorithmsoStatistical ML algorithmsoDeep Neural Network architecturesoModel ensemblingoGenerative AI modelsoML for Responsible AI AI domains - NLP, speech, computer vision, structured data Learning patterns – supervised, unsupervised, reinforcement learning Tools for data analysis, auto ML, model deployment & scaling, model fine tuning Knowledge of different Model fine tuning approaches for Large models Knowledge of datasets, pre-built models available in open community and 3rd party providers Knowledge of software development & architectures Knowledge of hyperscalers & their AI capabilities – Azure, AWS, GCP Knowledge of Model Quantization and Pruning Preferred Skills: Technology-Machine learning-data science Technology-Machine Learning-Accord Technology-Data Science-Machine Learning Technology-Machine Learning-Generative AI

. Novo Nordisk Global Business Services ( GBS) India Department - Commercial DD&IT GBS Are you passionate about leading complex IT programsDo you thrive in a dynamic environment where strategic thinking, collaboration, and innovation come togetherIf you have a proven track record in IT Program Management and are ready to make a difference, we want to hear from you! We are seeking a senior IT Program Manager to lead a large-scale, complex Customer Engagement ecosystem program supporting the HCP Engagement at a global environment (excluding USA). The role will focus on modernization and migration of the Customer Engagement ecosystem, integrating with portals, analytics and marketing platforms ensuring aligned delivery across business, markets, and technology stakeholders within a matrix organization. Read on and apply today for a life-changing career. ! The position As a Sr Program Manager- HCP Engagements at Novo Nordisk, you will: Lead the planning, execution, and governance of IT programs to ensure successful outcomes. Lead the end-to-end delivery of Customer Engagement program including migration from legacy systems to newer technologies. Define and manage program plans, roadmaps, dependencies mapping, and milestones ensuring on-time, quality delivery aligned with business objectives. Drive complex integrations with other enterprise systems (e.g.MDM, data warehouses, analytics, marketing automation, and HCP Portals). Engage with global and local business stakeholders (medical, commercial, compliance, data privacy) for requirements gathering, prioritization and alignment. Act as the primary escalation point for program risks, dependencies, and decision-making with senior leadership. Navigate a matrix environment while balancing global standards with local market needs. Drive execution of migration roadmaps including data migration, process harmonization, and change management planning. Collaborate with architecture and platform teams to ensure scalable, compliant configurations aligned with HCP engagement goals. Oversee validation, UAT, and cutover activities ensuring minimal business disruption. Manage vendor relationships including product implementation partners and system integrators. Proactively identify and mitigate delivery and operational risks. Ensure programs adhere to pharma quality, compliance (GxP, GDPR) and data privacy standards. Drive strategic alignment of IT initiatives with broader organizational goals. Establish clear project timelines, budgets, and deliverables, ensuring projects are delivered within scope, time, and budget. Facilitate communication and collaboration across cross-functional teams, including IT, business units, and external partners. Identify potential risks, develop mitigation strategies, and proactively address challenges. Champion digital transformation initiatives and promote the adoption of innovative digital solutions. Evaluate emerging technologies and recommend their integration into existing systems. Qualifications We are looking for a candidate who can bring the following skills and experience to the role: Bachelors degree in computer science, Information Technology, Business Administration, or a related field. A masters degree is preferred. Minimum 15+ years of experience in IT program management, with at least 12+ years in a senior or leadership role. Proven track record in managing complex digital and IT projects, including strategy development, implementation, and stakeholder engagement. Familiarity with IT infrastructure, software development lifecycles, and emerging digital technologies. Strong experience in budgeting, vendor management, stakeholder engagement, resource allocations etc. for large scale programs. Strong leadership and people management skills, with a consistent track record to build and lead impactful teams. Excellent communication, negotiation, stakeholder leadership and conflict resolution skills. Superb analytical and problem-solving skills with a focus on continuous improvement. Ability to engage, build and sustain trusted relationship both internally and externally. Proven track record of working in matrix setup of internal and external partner setup to deliver quality service management. Preferred Skills VEEVA/Salesforce certifications or formal training. Experience with CRM analytics and data migration tooling. Background in implementing CRM integrations with marketing automation platforms and content management systems. Experience in leading organizational change management alongside CRM rollouts. About The Department Commercial DD&IT GBS, established in 2010 and restructured as Sales & Marketing IT in 2015; is today an integral part of the DD&IT GBS unit in Bangalore, India. The team comprises of close to seventy young and passionate IT professionals from across India and diverse industries. With experienced people in latest technology, niche platforms, System Management, Project/Product Management, Data DevOps, Multichannel Customer Engagements, Agile delivery model and more; the team today caters to the IT System needs of all the Commercial functions including Sales, Marketing, Market Access, Commercial Effectiveness, and Medical Affairs. As an IT business partner to the Commercial functions, Commercial IT India has also embarked on the Global IT transformation journey by implementing new and Agile ways of working with focus on learning, simplicity, standardization and efficiency. Commercial IT India in its journey of last 10 years has come a long way in expanding its global footprint across all 7 Regions in IO, North America Operations and Commercial Strategy and Corporate Affairs in HQ & IO.

We are looking for a skilled professional with 8 to 14 years of experience to join our team as a Manager - Analytics in Hyderabad. The ideal candidate will have a strong background in analytics and data management, with excellent problem-solving skills. Roles and Responsibility Develop and implement advanced analytics models to drive business growth and improvement. Collaborate with cross-functional teams to identify and prioritize business needs. Design and maintain large-scale data systems to support business intelligence and decision-making. Analyze complex data sets to extract insights and trends that inform business strategy. Develop and present reports and dashboards to senior management and stakeholders. Stay up-to-date with industry trends and emerging technologies in analytics and data management. Job Requirements Strong understanding of analytics principles and techniques, including statistical modeling and machine learning. Experience with large-scale data systems, including data warehousing and ETL processes. Excellent problem-solving skills, with the ability to analyze complex data sets and extract meaningful insights. Strong communication and presentation skills, with the ability to effectively communicate technical information to non-technical stakeholders. Ability to work collaboratively in a fast-paced environment, with multiple priorities and deadlines. Strong attention to detail, with a focus on delivering high-quality results and meeting tight deadlines.

We are looking for a skilled professional with 8 to 14 years of experience to join our team as a Manager - Analytics in Hyderabad. The ideal candidate will have a strong background in analytics and data management, with excellent problem-solving skills. Roles and Responsibility Develop and implement advanced analytics models to drive business growth and improvement. Collaborate with cross-functional teams to identify and prioritize business needs. Design and maintain large-scale data systems to support business intelligence and decision-making. Analyze complex data sets to extract insights and trends that inform business strategy. Develop and present reports and dashboards to senior management and stakeholders. Stay up-to-date with industry trends and emerging technologies in analytics and data management. Job Requirements Strong understanding of analytics principles and techniques, including statistical modeling and machine learning. Experience with large-scale data systems, including data warehousing and ETL processes. Excellent problem-solving skills, with the ability to analyze complex data sets and extract meaningful insights. Strong communication and presentation skills, with the ability to effectively communicate technical information to non-technical stakeholders. Ability to work collaboratively in a fast-paced environment, with multiple priorities and deadlines. Strong attention to detail, with a focus on delivering high-quality results and meeting tight deadlines.

Bachelor's or Masters degree in Computer Science, Statistics, Mathematics, or related field. 6–9 years of relevant experience in data science, machine learning, or statistical modeling. Strong programming skills in Python or R. Advanced SQL skills for data extraction and manipulation. Experience with machine learning frameworks such as scikit-learn, TensorFlow, PyTorch. Familiarity with data visualization tools like Power BI, Tableau, or matplotlib/seaborn. Solid understanding of statistics, hypothesis testing, and experimental design. Experience working with cloud platforms (AWS/GCP/Azure) is a plus.

We are Looking for Immediate Joiners Who can Join us with in 15 Days About Us: DataBeat.io is a data and analytics services company that provides big data, analytics, and operations management services to various companies globally. Working at DataBeat.io helps you to be at the forefront of the big data and analytics ecosystem. You will work with clients who are leading companies that develop breakthrough solutions, concepts that are shaping the technology world, and cutting-edge tools. Fast-growing company where your performance and contribution could move you into leadership positions fairly quickly. Now we're a part of Media mint https://mediamint.com/ Key Roles and Responsibilities: AI/LLM Projects: Assist in developing applications using latest LLMs (ChatGPT, Claude, Gemini), Gen AI. Support campaign optimization using statistical and machine learning models Analyze advertising performance metrics and trends Contribute to predictive modelling for ad performance Help develop automated optimization algorithms Key Responsibilities: Analyze large datasets (>100mn's rows) to extract actionable insights Develop and maintain ML models for campaign optimization Assist in creating and maintaining data pipelines Build and improve dashboard visualizations Support A/B testing and performance analysis Collaborate with cross-functional teams Document technical processes and findings Required Qualifications: Bachelor's degree in Computer Science, Data Science, Mathematics, or related field 2-4 years of experience in data science or related field Strong Python programming skills (Pandas, NumPy, Scikit-learn) Understanding of statistical analysis and machine learning concepts Experience with data visualization tools (Looker, Tableau, or similar) Basic SQL knowledge Strong analytical and problem-solving skills Nice to Have: Experience with LLM frameworks and prompt engineering Knowledge of programmatic advertising Familiarity with cloud platforms (GCP) Understanding of digital advertising metrics and KPIs: Technical understanding of the programmatic advertising ecosystem from Ad Servers, DSPs, SSPs, Ad Verification vendors and agencies is a big plus, but not essential Version control experience (Git) Familiarity with tree-based methods and gradient boosting techniques. Technical Skills: Programming: Python, SQL ML Libraries: Scikit-learn or equivalent, PyTorch Data Analysis: Pandas, NumPy Visualization: Matplotlib or equivalent, Seaborn or equivalent BI Tools: Looker LLM Tools: Lang Chain or equivalent Personal Qualities: Strong curiosity and eagerness to learn Good communication skills Ability to work in a fast-paced environment Detail-oriented and organised Team player with collaborative mindset Self-motivated and proactive We are looking for someone who is passionate about both AI technologies and data-driven advertising optimization, with the ability to balance multiple projects and learn quickly.

Responsibilities: Operate and tend boilers & auxiliary equipments such as pumps, compressors and air-conditioning equipment, to supply and maintain steam or heat to pneumatic tools. Observe and interpret readings on gauges, meters and charts registering various aspects of boiler operation to ensure that boilers are operating properly. Test boiler water quality or arrange for testing and take necessary corrective action, such as adding chemicals to prevent corrosion and harmful deposits. Activate valves to maintain required amounts of water in boilers, to adjust supplies of combustion air, and to control the flow of fuel into burners. Monitor boiler water, chemical and fuel levels, and make adjustments to maintain required levels. Monitor and inspect equipment, computer terminals, switches, valves, gauges, alarms, safety devices and meters, periodically, to detect leaks or malfunctions and to ensure that equipment is operating efficiently and safely. Analyze problems and take appropriate action to ensure continuous and reliable operation of equipment and systems. Maintain daily logs of operation, maintenance and safety activities, including test results, instrument readings and details of equipment malfunctions and maintenance work. Adjust controls and valves on equipment to provide power, and to regulate and set operations of system or industrial processes. Required Skills: Communication (written & verbal), Planning, Problem Solving, Troubleshooting, Learning Skills. Critical Thinking, Problem Sensitivity Required Qualification:- ITI - RFM

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

What you’ll do Develop and apply advanced statistical models that help clients understand dynamic business issues. Leverage analytic techniques to use data to guide client and ZS team decision-making. Design custom analyses in R, Tableau, SAS, Visual Basic and Excel to investigate and inform client needs. Synthesize and communicate results to clients and ZS teams through oral and written presentations. Develop client relationships and serve as key point of contact on aspects of projects. Provide client and ZS teams project status updates. Create project deliverables and implement solutions. Advance problem-solving skills and improve ZS’s capabilities. Guide and mentor Associates on teams. What You’ll Bring Bachelor's or master's degree required in any discipline with strong record of academic success in quantitative and analytic coursework such as operations research, applied mathematics, management science, data science, statistics, econometrics or engineering. Up to 3 years of relevant post-collegiate job experience. Fluency in English . Knowledge of programming ( e.g., Java/Python/R) . Exposure to tools/platforms ( e.g., Hadoop eco system and database systems) . Demonstrated proficiency in a programming language or analytic tool such as R, SAS, Tableau, or VBA. High motivation, good work ethic, maturity, and personal initiative. Effective oral and written communication skills. Location - Bengaluru,Chennai,Gurugram,Noida,Pune

What you’ll do Develop advanced and efficient statistically effective algorithms that solve problems of high dimensionality . Utilize technical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques to identify trends, create figures, and analyze other relevant information. Collaborate with clients and other stakeholders at ZS to integrate and effectively communicate analysis findings. Contribute to the assessment of emerging datasets and technologies that impact our analytical platform. What You’ll Bring A master’s degree in computer science , Statistics, or a relevant field ; A r obust academic performance history with coursework emphasizing analysis and quantitative skills . A knowledge of big data, advanced analytical concepts, and algorithms (e.g., text mining, social listening, recommender systems, predictive modeling, etc A proficiency in at least one programming language (e.g., Java/Python/R ). Experience with tools/platforms such as the Hadoop eco system , Amazon Web Services or database systems. Fluency in English. 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. Travel Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. 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. To Complete Your Application Candidates must possess or be able to obtain 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

About The Role New or Never Normal Job Title: Internal Audit Team Member Corporate Grade: CA fresher"™s Kotak Overview Kotak Mahindra Bank Limited is an Indian banking and financial services company headquartered in Mumbai, India. It offers banking products and financial services for corporate and retail customers in the areas of personal finance, investment banking, life insurance, and wealth management. At Kotak, we expect more from ourselves, than what anyone else expects of us. This way, we are creating a rewarding and delightful experience every day for our customers. We are an equal opportunity employer and we are opposed to discrimination on any grounds. Overall purpose of role As Kotak Internal Audit Member, you will be a part of Kotak Internal Audit Department (IAD) which aims to provide independent, reliable, valued, insightful and timely assurance to the Board and executive management thus demonstrating a role of an ENABLER . This is achieved by looking at the effectiveness of governance, risk/control framework over current and evolving risks, within the current and expected business environment and in accordance with the international standards definition of internal auditing. Kotak IAD is a 200+ member department spread across 5 locations (Mumbai, Ahmedabad, Bangalore, Chennai and Delhi) which is set up to perform Internal Audits for KMBL (Kotak Mahindra Bank Limited) Flagship Company of the Kotak group. A one-stop shop. 4 Strategic Business Units - Consumer Banking, Corporate Banking (Wholesale Banking), Commercial Banking, Treasury. Key Accountabilities Executing the delivery of the Kotak IAD"™s Audit plan for the calendar year. "¢ To assist the Team Supervisor / Team Lead on assigned audit work of KMBL Businesses & Processes. This will entail working on the audit to deliver the Audit Planning Memo, Controls Document, agree issues & action plans with management and submission of draft report to the Team Supervisor. "¢ Demonstrate sound knowledge of both business/technical areas and expert knowledge in the audit process, including the IA systems, to ensure that audit work is carried out with a high standard that meets all methodologies. "¢ Demonstrate sound knowledge of regulations governing the bank (RBI, IRDA, SEBI, FEMA, FIMMDA, FEDAI, FATCA, NDS-OM, etc.) "¢ Conducts reviews to understand end-to-end process, evaluate and highlight key control deficiencies, analyse root cause and discuss / agree with management for effective and timely remediation plans. "¢ Manage individual workflow to ensure timely report deliveries with quality articulation of audit queries "¢ Writing high quality audit reports. To embrace and demonstrate effective Audit report writing & presentation skills from E2E perspective (Planning, Execution, Discussion, Clarification, Finalisation, Documentation into system etc.) "¢ Endeavouring to update awareness of risk issues and changes across relevant business units and use this knowledge to update the audit approach. "¢ Driving and leading discussions with relevant stakeholders regarding audit observations, consulting with IAD team supervisors / Team Leads. Decision-making and Problem Solving Take into account reputation of Kotak at all times, through positive interactions and adhering to policies, procedures and manuals. Set an example and supports fair and ethical behaviour. Make sure you are equipped to be able to protect our reputation at all times. Challenge others where appropriate, if you believe self to be correct. Endeavour to be part in decision making on a broad range of factors, with Kotak"™s values at heart - Always Responsible, Always Accountable. Risk and Control Objective [This section is mandatory for all role profiles] Ensure that all activities and duties are carried out in full compliance with regulatory requirements, Enterprise Wide Risk Management Framework and internal Kotak"™s Policies and Standards. Person Specification Personal attributes essential to performing role including competencies, expertise, knowledge, and experience. Noteexperience requirements must not be in the form of years (minimum or otherwise). Essential Skills/Basic & Preferred Qualifications: Understanding of Banking Business their products and processes. "¢ Person who can work alone, close audits and manage stakeholders "¢ Relevant professional qualifications e.g. CA/CMA, CISA, CIA, (Bachelor"™s degree mandatory). "¢ A Bachelor"™s degree in Commerce (preferably) holder with at least3-5 years of experiencein internal audit of a financial institution and/or relevant experience in the following areas: "¢ Experience in a BFSI or Finance processes, including audit. Understanding of relevant regulatory environment would be an added advantage. "¢ Experience in data analytics and/or exposure to data science/machine learning techniques would be an added advantage.