554 Predictive Modeling Jobs - Page 22

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 : NA Minimum 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 organization. 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 organization. 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 Chennai office. A 15 years full time education is required. Qualification 15 years full time education

Project Role : Business Process Designer Project Role Description : Analyzes, develops, and improves workflows. Identifies inefficiencies in existing processes and proposes solutions to optimize effectiveness. Collaborates with business users to identify and define detailed product requirements and use cases. Design continuous monitoring and feedback collection to help them refine processes over time. Must have skills : SAP Sales and Distribution (SD) Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Business Process Designer, you will analyze, develop, and improve workflows, identify inefficiencies in existing processes, propose solutions to optimize effectiveness, collaborate with business users to define product requirements, and design continuous monitoring for process refinement. 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 Develop innovative process improvement strategies Lead process optimization initiatives Implement best practices for workflow efficiency Professional & Technical Skills: Must To Have Skills: Proficiency in SAP Sales and Distribution (SD) Strong understanding of process optimization techniques Experience in workflow analysis and improvement Knowledge of business process modeling tools Hands-on experience in continuous monitoring and feedback mechanisms Additional Information: The candidate should have a minimum of 7.5 years of experience in SAP Sales and Distribution (SD) This position is based at our Noida 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 for Utilities Energy Data Management Device Management Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years of complete 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 the smooth functioning of applications and meeting the needs of the organization. Your typical day will involve designing and developing applications, collaborating with the team, and configuring applications based on business requirements. You will also be involved in troubleshooting and resolving any issues that arise. Roles & Responsibilities: Expected to be an SME, collaborate and manage the team to perform. Responsible for team decisions. Engage with multiple teams and contribute on key decisions. Provide solutions to problems for their immediate team and across multiple teams. Design and develop applications based on business process and application requirements. Collaborate with the team to ensure smooth functioning of applications. Configure applications to meet the specific needs of the organization. Troubleshoot and resolve any issues that arise with applications. Professional & Technical Skills: Must To Have Skills: Proficiency in SAP for Utilities Energy Data Management Device Management. 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 for Utilities Energy Data Management Device Management. This position is based at our Nagpur office. 15 years of complete education is required. Qualification 15 years of complete education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Natural Language Processing (NLP) Good to have skills : NA Minimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, and GenAI models. Your role involves creating cloud or on-prem application pipelines with production-ready quality, incorporating deep learning, neural networks, chatbots, and image processing. 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. Lead the implementation of NLP algorithms for text analysis. Design and develop NLP models for sentiment analysis. Optimize NLP models for performance and scalability. Professional & Technical Skills: Must To Have Skills: Proficiency in Natural Language Processing (NLP). 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 12 years of experience in Natural Language Processing (NLP). 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 Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : PySpark Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for managing the team and ensuring successful project delivery. Your typical day will involve collaborating with multiple teams, making key decisions, and providing solutions to problems for your immediate team and across multiple 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 Lead the effort to design, build, and configure applications Act as the primary point of contact Manage the team and ensure successful project delivery Professional & Technical Skills: Must To Have Skills: Proficiency in PySpark Strong understanding of statistical analysis and machine learning algorithms Experience with data visualization tools such as Tableau or Power BI Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information: The candidate should have a minimum of 5 years of experience in PySpark This position is based at our Hyderabad office A 15 years full-time education is required Qualification 15 years full time education

Overview: We are seeking a visionary Director of People Insights & AI Strategy to lead a cutting-edge, enterprise-wide approach to workforce intelligence. This leader will serve as a trusted advisor to the Executive Leadership Team (ELT) and the HR Senior Leadership Team (HRSLT) , translating data into bold strategies that shape talent decisions and business outcomes. In this role, youll elevate our People Insights function into a strategic, AI-enabled powerhouse embedding predictive, prescriptive, and generative analytics into how we manage, develop, and invest in our global workforce. From succession planning to workforce design, you will be the voice of data in the most critical talent and business conversations. Key Responsibilities: Strategic Executive Influence (30%) Deliver high-impact insights and advisory support to the ELT and HRSLT shaping talent strategies, workforce investments, and organizational decisions with data-driven narratives and real-time analytics. AI-Driven Talent Intelligence (25%) Have experience with AI/ML solutions (e.g., talent segmentation, skills inference, generative AI for workforce planning) that anticipate trends, uncover risks, and identify opportunities for growth and optimization. Enterprise Decision Support (20%) Lead talent intelligence initiatives that inform M&A assessments, org design, strategic workforce planning, and culture evolution connecting people data to business outcomes. Advanced People Analytics & Workday Integration (15%) Guide robust statistical and machine learning analyses (e.g., SEM, clustering, forecasting, predictive modeling). Bridge analytics platforms with Workday to extract and operationalize insights across the talent lifecycle. Global Team Leadership (10%) Lead and evolve the People Insights team into a world-class function. Champion a culture of data literacy across HR through tools, enablement, and strategic partnerships. Qualifications: 10-15 years of progressive experience in People Analytics, Data Science, Strategy, or Organizational Effectiveness with significant exposure to executive-level influence. 8+ years leading high-performing teams, ideally in a global, matrixed organization. Deep fluency with Workday including data extraction, integration, and reporting and the ability to bridge it with analytics tools and platforms. Proficiency in Python, R, SQL, Power BI/Tableau, and cloud environments (Azure, AWS, or GCP). Proven ability to communicate complex insights through clear storytelling that drives action at the highest levels. Key Skills Analytics, Change Management, Data Science, Generative AI, Leadership, Organizational Analytics, Organizational Development (OD), People Analytics, Talent Intelligence, Workforce Analytics What s In It For You Elective Benefits: Our programs are tailored to your country to best accommodate your lifestyle. Grow Your Career: Accelerate your path to success (and keep up with the future) with formal programs on leadership and professional development, and many more on-demand courses. Elevate Your Personal Well-Being: Boost your financial, physical, and mental well-being through seminars, events, and our global Life Empowerment Assistance Program. Diversity, Equity & Inclusion: It s not just a phrase to us; valuing every voice is how we succeed. Join us in celebrating our global diversity through inclusive education, meaningful peer-to-peer conversations, and equitable growth and development opportunities. Make the Most of our Global Organization : Network with other new co-workers within your first 30 days through our onboarding program. Connect with Your Community: Participate in internal, peer-led inclusive communities and activities, including business resource groups, local volunteering events, and more environmental and social initiatives. Don t meet every single requirementApply anyway. At Tech Data, a TD SYNNEX Company, we re proud to be recognized as a great place to work and a leader in the promotion and practice of diversity, equity and inclusion. If you re excited about working for our company and believe you re a good fit for this role, we encourage you to apply. You may be exactly the person we re looking for! We are an equal opportunity employer and committed to building a diverse team that represents and empowers a variety of backgrounds, perspectives, and skills. All qualified applicants will receive consideration for employment based on merit, without regard to race, colour, religion, national origin, gender, gender identity or expression, sexual orientation, protected veteran status, disability, genetics, age, or any other characteristic protected by law. To support our diversity and inclusion efforts, we may ask for voluntary gender disclosure information. This data will be used solely to improve our hiring practices and ensure fair treatment for all candidates.

We are seeking a highly skilled Artificial Intelligence Technology Expert to join our dynamic team. The ideal candidate will have 5-8 years of experience in AI technologies and statistical modeling. This role requires a deep understanding of machine learning algorithms, data analysis, and the ability to develop innovative solutions to complex problems. Key Responsibilities: Develop and Implement AI Solutions: Design, develop, and deploy AI models and algorithms to solve business problems and enhance customer experience. Statistical Modeling: Utilize statistical techniques to analyze data, build predictive models, and validate the performance of AI systems. Data Analysis: Perform data preprocessing, feature engineering, and exploratory data analysis to extract meaningful insights from large datasets. Collaborate with Cross-functional Teams: Work closely with software engineers, and business stakeholders to integrate AI solutions into existing systems and workflows. Research and Innovation: Stay updated with the latest advancements in AI and machine learning, and apply cutting-edge techniques to improve model accuracy and efficiency. Documentation and Reporting: Maintain comprehensive documentation of AI models, methodologies, and results. Present findings and recommendations to senior management. Qualifications: Educational Background: Masters degree in Computer Science, Statistics, Mathematics, or a related field. Experience: 5-8 years of hands-on experience in AI tec

Overview: We are seeking a visionary Director of People Insights & AI Strategy to lead a cutting-edge, enterprise-wide approach to workforce intelligence. This leader will serve as a trusted advisor to the Executive Leadership Team (ELT) and the HR Senior Leadership Team (HRSLT) , translating data into bold strategies that shape talent decisions and business outcomes. In this role, youll elevate our People Insights function into a strategic, AI-enabled powerhouse embedding predictive, prescriptive, and generative analytics into how we manage, develop, and invest in our global workforce. From succession planning to workforce design, you will be the voice of data in the most critical talent and business conversations. Key Responsibilities: Strategic Executive Influence (30%) Deliver high-impact insights and advisory support to the ELT and HRSLT shaping talent strategies, workforce investments, and organizational decisions with data-driven narratives and real-time analytics. AI-Driven Talent Intelligence (25%) Have experience with AI/ML solutions (e.g., talent segmentation, skills inference, generative AI for workforce planning) that anticipate trends, uncover risks, and identify opportunities for growth and optimization. Enterprise Decision Support (20%) Lead talent intelligence initiatives that inform M&A assessments, org design, strategic workforce planning, and culture evolution connecting people data to business outcomes. Advanced People Analytics & Workday Integration (15%) Guide robust statistical and machine learning analyses (e.g., SEM, clustering, forecasting, predictive modeling). Bridge analytics platforms with Workday to extract and operationalize insights across the talent lifecycle. Global Team Leadership (10%) Lead and evolve the People Insights team into a world-class function. Champion a culture of data literacy across HR through tools, enablement, and strategic partnerships. Qualifications: 10-15 years of progressive experience in People Analytics, Data Science, Strategy, or Organizational Effectiveness with significant exposure to executive-level influence. 8+ years leading high-performing teams, ideally in a global, matrixed organization. Deep fluency with Workday including data extraction, integration, and reporting and the ability to bridge it with analytics tools and platforms. Proficiency in Python, R, SQL, Power BI/Tableau, and cloud environments (Azure, AWS, or GCP). Proven ability to communicate complex insights through clear storytelling that drives action at the highest levels. Key Skills Analytics, Change Management, Data Science, Generative AI, Leadership, Organizational Analytics, Organizational Development (OD), People Analytics, Talent Intelligence, Workforce Analytics What s In It For You Elective Benefits: Our programs are tailored to your country to best accommodate your lifestyle. Grow Your Career: Accelerate your path to success (and keep up with the future) with formal programs on leadership and professional development, and many more on-demand courses. Elevate Your Personal Well-Being: Boost your financial, physical, and mental well-being through seminars, events, and our global Life Empowerment Assistance Program. Diversity, Equity & Inclusion: It s not just a phrase to us; valuing every voice is how we succeed. Join us in celebrating our global diversity through inclusive education, meaningful peer-to-peer conversations, and equitable growth and development opportunities. Make the Most of our Global Organization : Network with other new co-workers within your first 30 days through our onboarding program. Connect with Your Community: Participate in internal, peer-led inclusive communities and activities, including business resource groups, local volunteering events, and more environmental and social initiatives. Don t meet every single requirementApply anyway. At Tech Data, a TD SYNNEX Company, we re proud to be recognized as a great place to work and a leader in the promotion and practice of diversity, equity and inclusion. If you re excited about working for our company and believe you re a good fit for this role, we encourage you to apply. You may be exactly the person we re looking for! We are an equal opportunity employer and committed to building a diverse team that represents and empowers a variety of backgrounds, perspectives, and skills. All qualified applicants will receive consideration for employment based on merit, without regard to race, colour, religion, national origin, gender, gender identity or expression, sexual orientation, protected veteran status, disability, genetics, age, or any other characteristic protected by law. To support our diversity and inclusion efforts, we may ask for voluntary gender disclosure information. This data will be used solely to improve our hiring practices and ensure fair treatment for all candidates.

Our vision for the future is based on the idea that transforming financial lives starts by giving our people the freedom to transform their own. We have a flexible work environment, and fluid career paths. We not only encourage but celebrate internal mobility. We also recognize the importance of purpose, well-being, and work-life balance. Within Empower and our communities, we work hard to create a welcoming and inclusive environment, and our associates dedicate thousands of hours to volunteering for causes that matter most to them. Chart your own path and grow your career while helping more customers achieve financial freedom. Empower Yourself. Empower India Marketing team is looking for an experienced Data scientist with strong background in advanced statistical modeling, machine learning and predictive modeling. The ideal candidate will have hands-on experience in developing, deploying and optimizing advanced data models that drive actionable business insights and strategic decisions. Role Responsibilities: Work closely with cross-functional teams to understand complex business problems and build modeling framework to help solve for them Understand the data need, collect, interpret and clean the data Design, develop, and validate advanced machine learning and statistical models Evaluate and interpret model results using appropriate metrics (e.g., AUC, precision/recall, RMSE) Deploy models into production environments and monitor their performance over time Produce meaningful insights using data modelling techniques and interpret and justify the results with the business context Identify modelling opportunities proactively which can help the business and drive the project Take internal trainings on relevant skills Present results to the senior leadership Stay up to date with the latest advancements in machine learning, AI, and data science Educational Qualification: Graduate / post-graduate degree in Business Management / Statistics / Economics / Finance Required Experience: 8-14 years of experience working in analytics, data science or related experience Attention to detail, and should be open to learn quickly on new technologies and statistical techniques in analytics Well-grounded exposure to Machine Learning, AI, SAS, AWS, Python, Tableau etc. Working experience with tools such as Google Analytics/ Adobe Analytics Handling end-to-end projects independently. Required skills and competencies: Strong knowledge of and experience with the data modelling techniques like Time Series, Regression, Segmentation, Clustering, Market Mix, Machine Learning, AI. Solid understanding of statistical techniques, machine learning algorithms and model evaluation frameworks Strong analytical skills to be able to understand complex business problems, collect and analyze the data and be able to interpret the results Lead and drive cross functional projects Strong written and verbal communication skills to explain complex models and data-driven insights to senior stakeholders Domian knowledge in wealth management Self-motivated, excellent accountability and ownership skills Excellent team player Adopt organizational changes and drive the organizational values We are an equal opportunity employer with a commitment to diversity. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to age, race, color, national origin, ancestry, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, religion, physical or mental disability, military or veteran status, genetic information, or any other status protected by applicable state or local law.

Overview Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do. Our powerful, award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. Diversity, equity & inclusion are integral parts of our culture and drivers of innovation at Keysight. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers. We are seeking a Senior Data Product Owner to drive the development and delivery of Predictive and Generative AI data products that enable sales growth, improve customer retention, and identify strategic opportunities. This role sits at the intersection of business and data, and is responsible for aligning predictive modeling capabilities with real-world business outcomes by defining requirements, managing priorities, and ensuring adoption across teams. Responsibilities 1. Product Ownership & Roadmap Execution Define and manage the product roadmap for predictive insights across Sales, Marketing, Product, and Customer Success. Translate business needs into product features and data capabilities focused on churn prediction, cross-sell/upsell opportunities, and new logo identification. 2. Business Alignment & Stakeholder Engagement Act as the primary liaison between business stakeholders and technical/data teams. Partner with Sales leaders to ensure predictive insights are directly integrated into Salesforce and other frontline tools. Gather feedback and continuously refine product features to maximize business value. Monitor Generative AI experience to ensure explainability, accuracy, response time and user satisfaction 3. Predictive Insight Enablement Ensure delivery of actionable insights to business units, helping them identify and act on growth opportunities, competitive threats, and customer risk factors. Support the development of Product Line Maps that quantify $ opportunity by business unit or industry. 4. Data Integration & Delivery Coordinate with technical teams to ensure predictive models are properly integrated into existing systems (e.g., SFDC) and surfaced in a business-consumable format. Prioritize delivery features that support proactive customer engagement and renewal risk mitigation. 5. Adoption, Feedback & Iteration Monitor usage, effectiveness, and business outcomes of data products. Run feedback loops with users to enhance product functionality and adoption. Champion data literacy and work closely with enablement teams to support training and onboarding. Qualifications Careers Privacy Statement ***Keysight is an Equal Opportunity Employer.**Required: 5-8 years of experience in data product management, business analytics, or sales operations. Proven success in defining and delivering data products that support sales, customer success, or marketing teams. Strong understanding of predictive analytics concepts (e.g., churn modeling, opportunity scoring). Experience working with tools such as Salesforce, Power BI/Tableau, and data platforms like Snowflake or similar. Preferred: Background in B2B, SaaS, or high-tech environments. Familiarity with agile product development and tools like JIRA Ability to translate business questions into structured data product features. 1. Product Ownership & Roadmap Execution Define and manage the product roadmap for predictive insights across Sales, Marketing, Product, and Customer Success. Translate business needs into product features and data capabilities focused on churn prediction, cross-sell/upsell opportunities, and new logo identification. 2. Business Alignment & Stakeholder Engagement Act as the primary liaison between business stakeholders and technical/data teams. Partner with Sales leaders to ensure predictive insights are directly integrated into Salesforce and other frontline tools. Gather feedback and continuously refine product features to maximize business value. Monitor Generative AI experience to ensure explainability, accuracy, response time and user satisfaction 3. Predictive Insight Enablement Ensure delivery of actionable insights to business units, helping them identify and act on growth opportunities, competitive threats, and customer risk factors. Support the development of Product Line Maps that quantify $ opportunity by business unit or industry. 4. Data Integration & Delivery Coordinate with technical teams to ensure predictive models are properly integrated into existing systems (e.g., SFDC) and surfaced in a business-consumable format. Prioritize delivery features that support proactive customer engagement and renewal risk mitigation. 5. Adoption, Feedback & Iteration Monitor usage, effectiveness, and business outcomes of data products. Run feedback loops with users to enhance product functionality and adoption. Champion data literacy and work closely with enablement teams to support training and onboarding.

Sony is looking for a Deep Learning engineer who has strong knowledge and experience in design and development of Deep learning models according to business objectives. In this role, the candidate must analyse the requirements, prepare design and implement Deep Learning solutions. This requires a sound understanding of ML and Deep Learning fundamentals, libraries and frameworks, end-to-end ML development pipeline. Literature survey of SOTA models as per business requirements and AS-Is reproduction of Deep Learning models. Design and development of CNN models according to the business objective, along with metrics to track their progress. Optimize the CNN models in terms of trainable parameters and MAC operations to meet the target platform. Debug the intermediate as well as final layer output of trained model using various explainable AI methods. Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world and Evaluation approaches for model development Training models and tuning their hyperparameters Analysing the errors of the model and designing strategies to overcome them Skills set required: Advanced Python Programming Image processing using OpenCV. Keras, TensorFlow Good to have skills: Deep knowledge of math, probability, statistics and algorithms CNN Development Advanced OOPS concepts Roles and Responsibilities 1. Analyse customer requirements Design and Implement features requested by customer Verify, finetune solution and model and artefacts Validation of quality as per requirements 2. Customer communication 3. Also mentor junior members and ensure quality of deliverables in the project

Roles and Responsibilities Develop credit risk or fraud risk models using Python, SQL, and statistical modeling techniques to predict defaults, losses, and other credit-related metrics. Collaborate with cross-functional teams to design and implement effective credit risk strategies that meet business objectives. Conduct stress testing and scenario analysis to identify potential risks and opportunities for growth. Provide data insights and recommendations to stakeholders on loss forecasting, scorecards, and portfolio performance. Desired Candidate Profile 5+ years of experience in Credit Risk Modelling/ Fraud Modeling or related field. Strong expertise in PD, LGD Model Development ,Basel II/III regulations, CECL/CCAR requirements under IFRS9 framework. Proficiency in programming languages such as Python/R/SAS/SQL; strong understanding of machine learning algorithms an added advantage.

Tata Tele Business Services is looking for Cluster Lead to join our dynamic team and embark on a rewarding career journey. A Cluster Lead is responsible for overseeing and managing a group or cluster of related teams or departments within an organization The primary objective is to ensure efficient operations, productivity, and the achievement of strategic goals within the assigned cluster Key Responsibilities:Team Leadership:Lead and manage a team of managers or supervisors responsible for various functions within the cluster Provide guidance, mentorship, and support to team members, fostering a positive and collaborative work environment Strategic Planning:Collaborate with senior management to develop and execute cluster-specific strategies aligned with the organization's overall goals Monitor and report on progress toward strategic objectives Operations Management:Oversee the day-to-day operations and processes of the cluster, ensuring efficiency and effectiveness Identify opportunities for process improvement and implement solutions Resource Allocation:Allocate resources, including personnel, budget, and technology, to meet the cluster's operational requirements Performance Monitoring:Establish key performance indicators (KPIs) for the cluster and ensure teams are working towards these targets Regularly assess performance and take corrective actions as needed Communication and Collaboration:Foster communication and collaboration both within the cluster and with other departments or clusters Ensure the sharing of best practices and knowledge transfer Risk Management:Identify potential risks and challenges within the cluster's operations and develop strategies to mitigate them Budget Management:Develop and manage the cluster's budget, ensuring cost control and resource optimization

Oliver Wyman is looking for Manager - Data Science to join our dynamic team and embark on a rewarding career journey. Delegating responsibilities and supervising business operations Hiring, training, motivating and coaching employees as they provide attentive, efficient service to customers, assessing employee performance and providing helpful feedback and training opportunities. Resolving conflicts or complaints from customers and employees. Monitoring store activity and ensuring it is properly provisioned and staffed. Analyzing information and processes and developing more effective or efficient processes and strategies. Establishing and achieving business and profit objectives. Maintaining a clean, tidy business, ensuring that signage and displays are attractive. Generating reports and presenting information to upper-level managers or other parties. Ensuring staff members follow company policies and procedures. Other duties to ensure the overall health and success of the business.

Req ID: 318185 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Mid Data Science & AIML, GenAI Lead/Engineer to join our team in Mumbai, Maharashtra (IN-MH), India (IN). "Job DutiesJob TitleData Science & AIML, GenAI Lead/Engineer Key Responsibilities: Develop and implement traditional machine learning algorithms. Deploy at least one model in a production environment. Write and maintain Python code for data science and machine learning projects. Minimum Skills RequiredPreferred Qualifications: Knowledge of Deep Learning (DL) techniques. Experience working with Generative AI (GenAI) and Large Language Models (LLM). Exposure to Langchain. LocationNCR and Mumbai" #GenAINTT About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies.Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us atus.nttdata.com NTT DATA endeavors to make https://us.nttdata.comaccessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here. Job Segment Consulting, Database, Technology

GM Analytics Solutions is looking for a driven, dedicated and experienced Data Scientist Essential Responsibilities: As a Data Scientist, you will solve complex challenges and identify new opportunities using a combination of Data analytical expertise, business acumen, strategic thinking, and project & relationship management skills. He/she will work with the Product Owner, VP of IT capture business requirements, The Data Scientist will partner with the development team (on-site and off-shore) to execute the projects. Must have strong knowledge about statistical techniques like segmentation, predictive modeling, statistical modeling clustering, linear regression, logistic regression, SVM, Random Forest, Gradient Boosting, Optimization and time series forecasting to derive meaningful insights from data and to build high level solutions that predict and optimize business outcomes based on client's success criterion. Requirement: Minimum with 3 years hands-on in machine learning algorithms Should be familiar with Supervised and Unsupervised algorithms and should have worked on Anomaly detection. Excellent understanding of machine learning techniques and algorithms and should be proficient in some or all of the following techniques: Linear & Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Markov Chain, Monte Carlo, Gibbs Sampling, Evolutionary Algorithms, Support Vector Machines, Neural Networks, k-NN, Naive Bayes, SVM, Decision Forests etc Expert knowledge of advanced data mining and statistical modeling techniques, including Predictive modeling (e.g., binomial and multinomial regression, ANOVA); Classification techniques, Clustering, Principal Component Analysis, factor analysis; Decision Tree techniques (e.g., CART, CHAID) Should have some experience working with time series data Comfortable working with the Engineering Team to design, code, train, test, deploy and iterate on enterprise-scale machine learning systems Expert in Data processing, wrangling and visualization Experience with automated feature engineering and dealing with large datasets Should have experience in deploying machine learning model Very Good analytical thinking with problem-solving abilities Should have experience in deploying machine learning model Good knowledge on writing complex SQL queries for selecting data from database. Comfortable working with Python, Jupyter Notebook and ability to work with machine learning frameworks. Deliver results within committed scope, timeline, and budget Role & Responsibility: Works to design and develop analytical/ data mining/ machine learning/deep learning models as part of data science solutions Perform quantitative and qualitative analysis like (raw) data analysis, statistical modelling, data deep-dives etc. to acquire insights from data Data pulling or creating from different sources Responsible for analyzing data from multiple data sources (DBs, flat files, etc.), and building predictive models using Python Work to design and build an end-to-end prototype data science solution to a business problem in any specific sector/ function, more specific to healthcare domain. Develop actionable insights to drive outcome. Translate insights into an analysis report and communicates the insights back to the requestor.. Different models and their performances in Real time and Batch developed using Python (Pandas)/MLib/PySpark and opting the better solution depending on the cases Validate the models - statistically as well as from business perspective in discussions with business stakeholders Work to support and guide model deployment and model lifecycle management Map insights to action items (working with stakeholders) in order to improve business metrics Facilitate monitoring of actions to drive outcome: Monitor actions (targeted business outcomes achieved)- by providing guidance and feedback to the operations team Project governance: Ensure compliance to governance model. Seek and manage customer feedback in order to ensure strong customer satisfaction on projects Competency Requirements: Must possess the following knowledge, skills, and abilities to perform this job successfully: Familiar with standard concepts, practices, and procedures within the field. Creativity and latitude required. Ability to work in a fast-paced, result-driven, and complex healthcare setting. Ability to meet strict deadlines. Excellent analytical, problem-solving, organization and time management skills. Takes a sense of ownership Capable of embracing unexpected change in direction or priority. Excellent communication skills. Strong self-sufficiency and initiative working on database projects. This position may be modified to reasonably accommodate an incumbent with a disability. This job requires the ability to work with others in a team environment, the ability to accept direction from superiors and the ability to follow Company policies and procedures. Regular, predictable and dependable attendance is essential to the satisfactory performance of this job. GM Analytics is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor.to join our Gurgaon based team of IT professionals. The position is responsible for projects heavy in back-end database work including creating and maintaining interfaces between multiple sources and the database.

Dear Candidate, We are hiring for senior Data Scientist at Goregaon Below are the details for the same Organocation- Leading NBFC Location - Goregaon Work Mode- Work From office Roles & Responsibilities: Understanding the challenges faced by the business and translate that into a data problem Handle data in various formats easily, including both structured and unstructured data Ability to work with multiple data sources Model/ strategy development and validation Model deployment Requirements: Should be from Banking & NBFC Worked on Bureau data Develop Model like- Logistic regression, XGBoost, Random Forest, etc (Different techniques of model development) Coding- Python, XQL, Pyspark, Etc (Python is mandatory) Risk, Collections, Marketing related scorecard will work Scorecard- Application SC, Behavior SC, Fraud SC Min Exp- 5 plus Must

About The Role The leader must demonstrate an ability to anticipate, understand, and act on evolving customer needs, both stated and unstated. Through this, he/she must create a customer-centric organization and use innovative thinking frameworks to foster value-added relations. With the right balance of bold initiatives, continuous improvement, and governance, the leader must adhere to the delivery standards set by the client and eClerx by leveraging the knowledge of market drivers and competition to effectively anticipate trends and opportunities. Besides, the leader must demonstrate a capacity to transform, align, energize organization resources, and take appropriate risks to lead the organization in a new direction. As a leader, the candidate must build engaged and high-impact direct, virtual, and cross-functional teams, and take the lead towards raising the performance bar, build capability and bring out the best in their teams. By collaborating and forging partnerships both within and outside the functional area, the leader must work towards a shared vision and achieve positive business outcomes. Associate Program Manager Roles and responsibilities: Lead and provide strategic direction to teams, ensuring alignment with clients business objectives Actively collaborate with the Marketing, Marketing Operations, Marketing Technology, Risk & Controls, and Automation teams to consult and facilitate the seamless execution of marketing campaigns and initiatives Collaborate with client stakeholders to shape and execute the target operating model for data operations, data engineering, and insights teams Drive revenue growth by understanding client needs, proposing innovative commercial constructs, and capitalising on upsell & cross-sell opportunities Accountable for ensuring we are recruiting a highly skilled workforce of data engineers, data analysts and data scientists to support RTB and CTB initiatives of the Client Work closely with sales and consulting teams to expand current business and explore new transformation-led opportunities Stay updated with industry trends, and champion the adoption of cutting-edge tools, methodologies, and technologies Take ownership of team deliverables, ensuring quality checks, best practices and desired outcomes are achieved on the first attempt. Understand project requirements and equip team members with the necessary skills and training. Technical and Functional Skills: Masters / Bachelors degree in Management / Engineering / Mathematics / Statistics or any related quantitative discipline The ideal candidate must have a minimum of 8+ years of experience in Data Management, Analytics, or Decision Science, including P&L Management responsibilities Experience working in services/consulting space, building and leading large analytics business and demonstrated success in delivering to clients across industries and domains preferably Banking and Financial Services Proven track record of building and leading high growth teams; demonstrated experience in hiring, retaining, and scaling geographically dispersed, high-performing teams Experience in collaborating, communicating, and influencing different stakeholders to drive inclusion, efficiency, and creative solutions

About The Role social media analytics

We are looking for a skilled Data Scientist with strong expertise in Python, Pandas, Machine Learning, and Time Series Forecasting. The ideal candidate will be able to drive impactful Data Science solutions, optimize model performance, and work closely with clients to improve deployments. Data Scientist We are looking for a skilled Data Scientist with strong expertise in Python, Pandas, Machine Learning, and Time Series Forecasting. The ideal candidate will be able to drive impactful Data Science solutions, optimize model performance, and work closely with clients to improve deployments. Data Scientist? Mandatory Skills: Python, Pandas, EDA, ML, Time Series Forecasting, Model Optimization, Client Collaboration Good-to-Have Skills: Big Data (Spark/Hadoop), Deep Learning, Cloud Computing, NLP, Stakeholder Management Detailed JD Strong hands-on expertise in Python and Pandas Advanced skills in Exploratory Data Analysis (EDA) Strong command over Machine Learning (ML) techniques Experience in Time Series Forecasting and predictive modeling Proven problem-solving skills for model development and optimization Ability to design and drive Data Science solutions for business impact Proficiency in model performance testing and tuning Experience working directly with clients to resolve challenges and improve deployments Mandatory Skills: Python, Pandas, EDA, ML, Time Series Forecasting, Model Optimization, Client Collaboration Good-to-Have Skills: Big Data (Spark/Hadoop), Deep Learning, Cloud Computing, NLP, Stakeholder Management Detailed JD Strong hands-on expertise in Python and Pandas Advanced skills in Exploratory Data Analysis (EDA) Strong command over Machine Learning (ML) techniques Experience in Time Series Forecasting and predictive modeling Proven problem-solving skills for model development and optimization Ability to design and drive Data Science solutions for business impact Proficiency in model performance testing and tuning Experience working directly with clients to resolve challenges and improve deployments

Full time with top German MNC for location Bangalore SKILLS SET: Statistical & Mathematical Concepts Descriptive statistics, probability distributions, hypothesis testing, p-values, confidence intervals, correlation, A/B testing Data Handling & Analysis Data cleaning, missing values, outlier detection, feature engineering, feature selection, EDA, dimensionality reduction, PCA, t-SNE, time series Machine Learning Techniques Supervised: linear regression, logistic regression, decision trees, random forests, SVM, k-NN, gradient boosting, XGBoost Unsupervised: k-means, hierarchical clustering, DBSCAN, PCA, anomaly detection Model Evaluation & Optimization Accuracy, precision, recall, F1-score, ROC-AUC, RMSE, MAE, R, cross-validation, grid search, random search, bias-variance trade-off Programming & Tools Python, NumPy, Pandas, scikit-learn, matplotlib, seaborn, SQL, Jupyter Notebooks, Google Colab SQL Skills Select statements, joins (inner, outer, left, right), group by, having, subqueries, filtering, sorting, aggregations (SUM, AVG, COUNT), window functions (ROW_NUMBER, RANK, LAG, etc.), CTEs etc.

Learn to develop and apply data mining and machine learning techniques and models to extract analytic insights from healthcare and non-healthcare data sets Support the review, generation, and delivery of analytic products in support of project work, RFP responses and other business needs Assist in the development of visualizations and presentations for client deliverables Develop software solutions and applications using Python, SQL, and/or R Interface with EVERSANA analysts, data scientists, clinicians and program managers and with EVERSANA customers.

You are a highly motivated individual with strong skills in advanced analytics, problem-solving, influencing, interpersonal communication, and collaboration, then you have found the right team. Join us as an Automation and Analytics Developer within the Conduct, Compliance, and Operational Risk (CCOR) domain. In this role, you will develop and maintain a diverse range of analytical tools, reports, and dashboards to uncover insights and manage risks effectively. You will work closely with Compliance and Operational Risk Managers, as we'll as key partners across various functions, including Data Science, Technology, and Business colleagues. As a Developer in our CCOR Data Analytics team, your responsibilities will include promoting and identifying opportunities for operational reengineering, and leading automation initiatives to streamline processes. You will have the chance to shape and improve our risk and control processes using data transformation tools such as Alteryx, Python, and SQL, while applying your knowledge of data science principles. Job Responsibilities Understands and develops automation solutions for the compliance and operational risk managers; builds analytical tools, reports, and dashboards to optimize and reduce manual processes. Identifies and leads automation initiatives to streamline processes. Creates reporting, interprets results, and conveys information in a concise, straightforward, and professional manner for all levels of operational staff from supervisors to senior-level management. Comprehends data requirements and accurately addresses related data quality edits efficiently. Spearheads projects and tasks by ensuring timely completion and articulates any issues and risks to management. Ensures the integrity of data through automated extraction, translation, processing, analysis, and reporting. Required Qualifications, Skills, and Capabilities Tool Sets - Strong knowledge of Alteryx, Tableau, Python or UIPath. Proficiency in Tableau is essential for creating interactive and insightful dashboards. Analytical - Independent, logical problem solver with the ability to synthesize data, identify trends, and project outcomes. Strong understanding of data science concepts and methodologies. Technical - Proficiency in PowerPoint and Excel; knowledge of databases and API connectivity. Fast Paced Multi-Tasker - Ability to organize and prioritize multiple projects and responsibilities with accuracy, attention to detail, and limited supervision with very short turnaround times. Demonstrates the ability to react quickly and decisively in high-stress situations. Interpersonal - Strong written and verbal communication skills with the ability to influence and work collaboratively with diverse/cross-functional teams. Develop and maintain effective relationships with a wide range of stakeholders. Presentation - Ability to create presentations for all levels of management and effectively report with an executive presence. Experience creating complex reporting with compelling key messages. Risk & Controls - Ability to work on Audit, Compliance, Risk, Control and Regulatory requirements in accordance with established procedures. Demonstrates accountability for work processes and the associated risks and controls. Demonstrates the ability to raise issues to relevant stakeholders or management with respect to the control environment. Project Management - Ability to lead an initiative, prioritize work, and meet deadlines, escalating any issues to management. Preferred Qualifications, Skills, and Capabilities Alteryx/Tableau/Python certification bachelors Degree, preferably majored in Computer Science, Statistics, Math, Business Administration, Finance, or Economics At least 4 years of experience in a related field. Experience in data science projects or coursework, with a focus on data analysis and predictive modeling Working Hours 1PM-10PM

Urgent Hiring for MNC for Analytics role, which includes- Model Development/Model Validation Data Analytics Data Manager/Data Modeler Risk Strategy/Analytics Market Risk/Credit Risk SAS/Python Exposure Kindly send your updated CV at jatin@smrd.in

Roles and Responsibilities Develop predictive models using statistical modeling techniques to drive business outcomes. Design and implement machine learning algorithms for data analysis, including deep learning methods. Collaborate with stakeholders to identify business problems and develop solutions through data-driven insights. Conduct exploratory data analysis (EDA) to extract meaningful patterns from large datasets. Communicate complex technical findings effectively to non-technical audiences. Desired Candidate Profile 1-3 years of experience in Data Science or related field. B.Tech/B.E. degree in Any Specialization or B.Sc degree in Statistics. Strong proficiency in SAS, Python, R programming languages; expertise in Predictive Modeling, Statistical Modeling, Machine Learning, Deep Learning.