5534 Data Science Jobs - Page 36

The ideal candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The role enables to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Role and responsibilities: Understand business problem and requirements by building domain knowledge and translate to data science problem. Conceptualize and design cutting edge data science solution to solve the data science problem, apply design-thinking concepts. Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need. Prototype and experiment the solution to successfully demonstrate the value. Independently or with support from team, execute the conceptualized solution as per plan by following project management guidelines. Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization. Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development, and practice development initiatives. Technical and Functional Skills: Bachelors degree in Computer Science with 4 to 6 years of work experience. Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification. Ability to engage clients to understand business requirements and convert the same into technical/modelling problems for solution development. Demonstrate strong interpersonal skills and a comfort interacting with clients from the C-suite to marketing managers to technical specialists. Demonstrated knowledge of analytical/statistical techniques and their applications; a working knowledge of/experience in R and Python is a plus. Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts in plain English. Ability to present results of statistical models in business language. Domain understanding of at least one preferably two verticals amongst Retail, Cable, Technology (not mandate). Knowledge of data visualization tools (Tableau, QlikView, etc.) is a plus. Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports. Ability to manage specific tasks to completion with minimal direction. Ideal candidate has been in a consulting role previously. Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc. Ability to collaborate with onsite colleagues in the US & UK. Expert in handling large data, cleansing & preparation for modelling. Very high attention to detail and quality.

Head of Data Science Experience: 12+ years Salary: Competitive Preferred Notice Period : Within 30 Days Opportunity Type: Hybrid (Bengaluru) Placement Type: Full-time (*Note: This is a requirement for one of Uplers' Clients) Must have skills: Data Science OR Subject Matter Expertise AND Industrial Software OR Oil & Gas, Power, or Chemicals AND SaaS UptimeAI (One of Uplers' Clients) is looking for: About UptimeAI: UptimeAI is leading the way in predictive analytics and AI-driven solutions to optimize operational uptime and reduce downtime for industrial and enterprise clients. Our innovative platform harnesses cutting-edge data science to deliver actionable insights, ensuring maximum efficiency and reliability. UptimeAI uniquely combines Artificial Intelligence with Subject Matter Knowledge from 200+ years of cumulative experience to explain interrelations across upstream/downstream equipment, adapt to changes, identify problems, and give prescriptive diagnosis like a human expert would. Role: Head of Data Science Industry Subject Matter Expertise (SME) Oil & Gas / Power Location: Bangalore, India Experience: 15+ years Department: Data Science Role Overview: We are seeking a highly experienced Data Science Leader with strong domain expertise in Oil & Gas, Power Generation, or Process Industries, combined with deep exposure to Data Science, AI/ML, and Industrial Software. The ideal candidate will play a critical role in shaping and guiding the development of data-driven B2B SaaS solutions for industrial applications, leveraging deep operational insight and advanced analytics. Key Responsibilities: Lead AI/ML teams to design solutions that align with real-world industrial use cases Provide domain expertise and strategic guidance in Oil & Gas, Power, or Chemicals to product, engineering, and data science teams Define product requirements and influence roadmap based on domain knowledge and market needs Serve as a thought leader in industrial IoT, predictive maintenance, asset management, and reliability engineering Support GTM teams in customer discussions, industry presentations, and positioning of the product offering Lead knowledge transfer, training, and mentoring for internal teams on industry-specific processes and pain points Qualifications: 15+ years of total experience, with at least the last 5 years in a senior leadership role leading Data Science initiatives. Mandatory: Extensive experience in manufacturing operations within Oil & Gas, Power Generation, or Chemicals Proven track record in developing and launching B2B SaaS products for industrial environments Strong understanding of industrial IoT, predictive analytics, Process Optimization, machine learning, and digital transformation Hands-on experience with Data Science / AI / ML teams Familiarity with industrial asset management, maintenance operations, and reliability engineering Excellent communication skills with the ability to bridge the gap between business and technical stakeholders Preferred: MBA or relevant advanced technical degree (e.g., Engineering, Data Science, Operations Research) Nice to Have: Global exposure across different geographies and regulatory environments Prior experience working with digital twins, SCADA, CMMS, or EAM systems Published thought leadership or public speaking experience at industry forums Why to join UptimeAI: Impact Industry-Wide Change: Contribute to transformative solutions that significantly improve operational efficiency and reliability for global clients. Collaborative and Growth-Oriented Environment: Join a talented, passionate team that values innovation, continuous learning, and professional growth. Opportunities for Leadership and Innovation: Lead pioneering projects, influence product development, and shape the future of industrial AI solutions. How to apply for this opportunity? Easy 3 Step Process: Click On Apply and register or log in to our portal Upload updated Resume & complete the Screening Form Increase your chances of getting shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Head of Data Science Experience: 12+ years Salary: Competitive Preferred Notice Period : Within 30 Days Opportunity Type: Hybrid (Bengaluru) Placement Type: Full-time (*Note: This is a requirement for one of Uplers' Clients) Must have skills: Data Science OR Subject Matter Expertise AND Industrial Software OR Oil & Gas, Power, or Chemicals AND SaaS UptimeAI (One of Uplers' Clients) is looking for: About UptimeAI: UptimeAI is leading the way in predictive analytics and AI-driven solutions to optimize operational uptime and reduce downtime for industrial and enterprise clients. Our innovative platform harnesses cutting-edge data science to deliver actionable insights, ensuring maximum efficiency and reliability. UptimeAI uniquely combines Artificial Intelligence with Subject Matter Knowledge from 200+ years of cumulative experience to explain interrelations across upstream/downstream equipment, adapt to changes, identify problems, and give prescriptive diagnosis like a human expert would. Role: Head of Data Science Industry Subject Matter Expertise (SME) Oil & Gas / Power Location: Bangalore, India Experience: 15+ years Department: Data Science Role Overview: We are seeking a highly experienced Data Science Leader with strong domain expertise in Oil & Gas, Power Generation, or Process Industries, combined with deep exposure to Data Science, AI/ML, and Industrial Software. The ideal candidate will play a critical role in shaping and guiding the development of data-driven B2B SaaS solutions for industrial applications, leveraging deep operational insight and advanced analytics. Key Responsibilities: Lead AI/ML teams to design solutions that align with real-world industrial use cases Provide domain expertise and strategic guidance in Oil & Gas, Power, or Chemicals to product, engineering, and data science teams Define product requirements and influence roadmap based on domain knowledge and market needs Serve as a thought leader in industrial IoT, predictive maintenance, asset management, and reliability engineering Support GTM teams in customer discussions, industry presentations, and positioning of the product offering Lead knowledge transfer, training, and mentoring for internal teams on industry-specific processes and pain points Qualifications: 15+ years of total experience, with at least the last 5 years in a senior leadership role leading Data Science initiatives. Mandatory: Extensive experience in manufacturing operations within Oil & Gas, Power Generation, or Chemicals Proven track record in developing and launching B2B SaaS products for industrial environments Strong understanding of industrial IoT, predictive analytics, Process Optimization, machine learning, and digital transformation Hands-on experience with Data Science / AI / ML teams Familiarity with industrial asset management, maintenance operations, and reliability engineering Excellent communication skills with the ability to bridge the gap between business and technical stakeholders Preferred: MBA or relevant advanced technical degree (e.g., Engineering, Data Science, Operations Research) Nice to Have: Global exposure across different geographies and regulatory environments Prior experience working with digital twins, SCADA, CMMS, or EAM systems Published thought leadership or public speaking experience at industry forums Why to join UptimeAI: Impact Industry-Wide Change: Contribute to transformative solutions that significantly improve operational efficiency and reliability for global clients. Collaborative and Growth-Oriented Environment: Join a talented, passionate team that values innovation, continuous learning, and professional growth. Opportunities for Leadership and Innovation: Lead pioneering projects, influence product development, and shape the future of industrial AI solutions. How to apply for this opportunity? Easy 3 Step Process: Click On Apply and register or log in to our portal Upload updated Resume & complete the Screening Form Increase your chances of getting shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Head of Data Science Experience: 12+ years Salary: Competitive Preferred Notice Period : Within 30 Days Opportunity Type: Hybrid (Bengaluru) Placement Type: Full-time (*Note: This is a requirement for one of Uplers' Clients) Must have skills: Data Science OR Subject Matter Expertise AND Industrial Software OR Oil & Gas, Power, or Chemicals AND SaaS UptimeAI (One of Uplers' Clients) is looking for: About UptimeAI: UptimeAI is leading the way in predictive analytics and AI-driven solutions to optimize operational uptime and reduce downtime for industrial and enterprise clients. Our innovative platform harnesses cutting-edge data science to deliver actionable insights, ensuring maximum efficiency and reliability. UptimeAI uniquely combines Artificial Intelligence with Subject Matter Knowledge from 200+ years of cumulative experience to explain interrelations across upstream/downstream equipment, adapt to changes, identify problems, and give prescriptive diagnosis like a human expert would. Role: Head of Data Science Industry Subject Matter Expertise (SME) Oil & Gas / Power Location: Bangalore, India Experience: 15+ years Department: Data Science Role Overview: We are seeking a highly experienced Data Science Leader with strong domain expertise in Oil & Gas, Power Generation, or Process Industries, combined with deep exposure to Data Science, AI/ML, and Industrial Software. The ideal candidate will play a critical role in shaping and guiding the development of data-driven B2B SaaS solutions for industrial applications, leveraging deep operational insight and advanced analytics. Key Responsibilities: Lead AI/ML teams to design solutions that align with real-world industrial use cases Provide domain expertise and strategic guidance in Oil & Gas, Power, or Chemicals to product, engineering, and data science teams Define product requirements and influence roadmap based on domain knowledge and market needs Serve as a thought leader in industrial IoT, predictive maintenance, asset management, and reliability engineering Support GTM teams in customer discussions, industry presentations, and positioning of the product offering Lead knowledge transfer, training, and mentoring for internal teams on industry-specific processes and pain points Qualifications: 15+ years of total experience, with at least the last 5 years in a senior leadership role leading Data Science initiatives. Mandatory: Extensive experience in manufacturing operations within Oil & Gas, Power Generation, or Chemicals Proven track record in developing and launching B2B SaaS products for industrial environments Strong understanding of industrial IoT, predictive analytics, Process Optimization, machine learning, and digital transformation Hands-on experience with Data Science / AI / ML teams Familiarity with industrial asset management, maintenance operations, and reliability engineering Excellent communication skills with the ability to bridge the gap between business and technical stakeholders Preferred: MBA or relevant advanced technical degree (e.g., Engineering, Data Science, Operations Research) Nice to Have: Global exposure across different geographies and regulatory environments Prior experience working with digital twins, SCADA, CMMS, or EAM systems Published thought leadership or public speaking experience at industry forums Why to join UptimeAI: Impact Industry-Wide Change: Contribute to transformative solutions that significantly improve operational efficiency and reliability for global clients. Collaborative and Growth-Oriented Environment: Join a talented, passionate team that values innovation, continuous learning, and professional growth. Opportunities for Leadership and Innovation: Lead pioneering projects, influence product development, and shape the future of industrial AI solutions. How to apply for this opportunity? Easy 3 Step Process: Click On Apply and register or log in to our portal Upload updated Resume & complete the Screening Form Increase your chances of getting shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Head of Data Science Experience: 12+ years Salary: Competitive Preferred Notice Period : Within 30 Days Opportunity Type: Hybrid (Bengaluru) Placement Type: Full-time (*Note: This is a requirement for one of Uplers' Clients) Must have skills: Data Science OR Subject Matter Expertise AND Industrial Software OR Oil & Gas, Power, or Chemicals AND SaaS UptimeAI (One of Uplers' Clients) is looking for: About UptimeAI: UptimeAI is leading the way in predictive analytics and AI-driven solutions to optimize operational uptime and reduce downtime for industrial and enterprise clients. Our innovative platform harnesses cutting-edge data science to deliver actionable insights, ensuring maximum efficiency and reliability. UptimeAI uniquely combines Artificial Intelligence with Subject Matter Knowledge from 200+ years of cumulative experience to explain interrelations across upstream/downstream equipment, adapt to changes, identify problems, and give prescriptive diagnosis like a human expert would. Role: Head of Data Science Industry Subject Matter Expertise (SME) Oil & Gas / Power Location: Bangalore, India Experience: 15+ years Department: Data Science Role Overview: We are seeking a highly experienced Data Science Leader with strong domain expertise in Oil & Gas, Power Generation, or Process Industries, combined with deep exposure to Data Science, AI/ML, and Industrial Software. The ideal candidate will play a critical role in shaping and guiding the development of data-driven B2B SaaS solutions for industrial applications, leveraging deep operational insight and advanced analytics. Key Responsibilities: Lead AI/ML teams to design solutions that align with real-world industrial use cases Provide domain expertise and strategic guidance in Oil & Gas, Power, or Chemicals to product, engineering, and data science teams Define product requirements and influence roadmap based on domain knowledge and market needs Serve as a thought leader in industrial IoT, predictive maintenance, asset management, and reliability engineering Support GTM teams in customer discussions, industry presentations, and positioning of the product offering Lead knowledge transfer, training, and mentoring for internal teams on industry-specific processes and pain points Qualifications: 15+ years of total experience, with at least the last 5 years in a senior leadership role leading Data Science initiatives. Mandatory: Extensive experience in manufacturing operations within Oil & Gas, Power Generation, or Chemicals Proven track record in developing and launching B2B SaaS products for industrial environments Strong understanding of industrial IoT, predictive analytics, Process Optimization, machine learning, and digital transformation Hands-on experience with Data Science / AI / ML teams Familiarity with industrial asset management, maintenance operations, and reliability engineering Excellent communication skills with the ability to bridge the gap between business and technical stakeholders Preferred: MBA or relevant advanced technical degree (e.g., Engineering, Data Science, Operations Research) Nice to Have: Global exposure across different geographies and regulatory environments Prior experience working with digital twins, SCADA, CMMS, or EAM systems Published thought leadership or public speaking experience at industry forums Why to join UptimeAI: Impact Industry-Wide Change: Contribute to transformative solutions that significantly improve operational efficiency and reliability for global clients. Collaborative and Growth-Oriented Environment: Join a talented, passionate team that values innovation, continuous learning, and professional growth. Opportunities for Leadership and Innovation: Lead pioneering projects, influence product development, and shape the future of industrial AI solutions. How to apply for this opportunity? Easy 3 Step Process: Click On Apply and register or log in to our portal Upload updated Resume & complete the Screening Form Increase your chances of getting shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Head of Data Science Experience: 12+ years Salary: Competitive Preferred Notice Period : Within 30 Days Opportunity Type: Hybrid (Bengaluru) Placement Type: Full-time (*Note: This is a requirement for one of Uplers' Clients) Must have skills: Data Science OR Subject Matter Expertise AND Industrial Software OR Oil & Gas, Power, or Chemicals AND SaaS UptimeAI (One of Uplers' Clients) is looking for: About UptimeAI: UptimeAI is leading the way in predictive analytics and AI-driven solutions to optimize operational uptime and reduce downtime for industrial and enterprise clients. Our innovative platform harnesses cutting-edge data science to deliver actionable insights, ensuring maximum efficiency and reliability. UptimeAI uniquely combines Artificial Intelligence with Subject Matter Knowledge from 200+ years of cumulative experience to explain interrelations across upstream/downstream equipment, adapt to changes, identify problems, and give prescriptive diagnosis like a human expert would. Role: Head of Data Science Industry Subject Matter Expertise (SME) Oil & Gas / Power Location: Bangalore, India Experience: 15+ years Department: Data Science Role Overview: We are seeking a highly experienced Data Science Leader with strong domain expertise in Oil & Gas, Power Generation, or Process Industries, combined with deep exposure to Data Science, AI/ML, and Industrial Software. The ideal candidate will play a critical role in shaping and guiding the development of data-driven B2B SaaS solutions for industrial applications, leveraging deep operational insight and advanced analytics. Key Responsibilities: Lead AI/ML teams to design solutions that align with real-world industrial use cases Provide domain expertise and strategic guidance in Oil & Gas, Power, or Chemicals to product, engineering, and data science teams Define product requirements and influence roadmap based on domain knowledge and market needs Serve as a thought leader in industrial IoT, predictive maintenance, asset management, and reliability engineering Support GTM teams in customer discussions, industry presentations, and positioning of the product offering Lead knowledge transfer, training, and mentoring for internal teams on industry-specific processes and pain points Qualifications: 15+ years of total experience, with at least the last 5 years in a senior leadership role leading Data Science initiatives. Mandatory: Extensive experience in manufacturing operations within Oil & Gas, Power Generation, or Chemicals Proven track record in developing and launching B2B SaaS products for industrial environments Strong understanding of industrial IoT, predictive analytics, Process Optimization, machine learning, and digital transformation Hands-on experience with Data Science / AI / ML teams Familiarity with industrial asset management, maintenance operations, and reliability engineering Excellent communication skills with the ability to bridge the gap between business and technical stakeholders Preferred: MBA or relevant advanced technical degree (e.g., Engineering, Data Science, Operations Research) Nice to Have: Global exposure across different geographies and regulatory environments Prior experience working with digital twins, SCADA, CMMS, or EAM systems Published thought leadership or public speaking experience at industry forums Why to join UptimeAI: Impact Industry-Wide Change: Contribute to transformative solutions that significantly improve operational efficiency and reliability for global clients. Collaborative and Growth-Oriented Environment: Join a talented, passionate team that values innovation, continuous learning, and professional growth. Opportunities for Leadership and Innovation: Lead pioneering projects, influence product development, and shape the future of industrial AI solutions. How to apply for this opportunity? Easy 3 Step Process: Click On Apply and register or log in to our portal Upload updated Resume & complete the Screening Form Increase your chances of getting shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Head of Data Science Experience: 12+ years Salary: Competitive Preferred Notice Period : Within 30 Days Opportunity Type: Hybrid (Bengaluru) Placement Type: Full-time (*Note: This is a requirement for one of Uplers' Clients) Must have skills: Data Science OR Subject Matter Expertise AND Industrial Software OR Oil & Gas, Power, or Chemicals AND SaaS UptimeAI (One of Uplers' Clients) is looking for: About UptimeAI: UptimeAI is leading the way in predictive analytics and AI-driven solutions to optimize operational uptime and reduce downtime for industrial and enterprise clients. Our innovative platform harnesses cutting-edge data science to deliver actionable insights, ensuring maximum efficiency and reliability. UptimeAI uniquely combines Artificial Intelligence with Subject Matter Knowledge from 200+ years of cumulative experience to explain interrelations across upstream/downstream equipment, adapt to changes, identify problems, and give prescriptive diagnosis like a human expert would. Role: Head of Data Science Industry Subject Matter Expertise (SME) Oil & Gas / Power Location: Bangalore, India Experience: 15+ years Department: Data Science Role Overview: We are seeking a highly experienced Data Science Leader with strong domain expertise in Oil & Gas, Power Generation, or Process Industries, combined with deep exposure to Data Science, AI/ML, and Industrial Software. The ideal candidate will play a critical role in shaping and guiding the development of data-driven B2B SaaS solutions for industrial applications, leveraging deep operational insight and advanced analytics. Key Responsibilities: Lead AI/ML teams to design solutions that align with real-world industrial use cases Provide domain expertise and strategic guidance in Oil & Gas, Power, or Chemicals to product, engineering, and data science teams Define product requirements and influence roadmap based on domain knowledge and market needs Serve as a thought leader in industrial IoT, predictive maintenance, asset management, and reliability engineering Support GTM teams in customer discussions, industry presentations, and positioning of the product offering Lead knowledge transfer, training, and mentoring for internal teams on industry-specific processes and pain points Qualifications: 15+ years of total experience, with at least the last 5 years in a senior leadership role leading Data Science initiatives. Mandatory: Extensive experience in manufacturing operations within Oil & Gas, Power Generation, or Chemicals Proven track record in developing and launching B2B SaaS products for industrial environments Strong understanding of industrial IoT, predictive analytics, Process Optimization, machine learning, and digital transformation Hands-on experience with Data Science / AI / ML teams Familiarity with industrial asset management, maintenance operations, and reliability engineering Excellent communication skills with the ability to bridge the gap between business and technical stakeholders Preferred: MBA or relevant advanced technical degree (e.g., Engineering, Data Science, Operations Research) Nice to Have: Global exposure across different geographies and regulatory environments Prior experience working with digital twins, SCADA, CMMS, or EAM systems Published thought leadership or public speaking experience at industry forums Why to join UptimeAI: Impact Industry-Wide Change: Contribute to transformative solutions that significantly improve operational efficiency and reliability for global clients. Collaborative and Growth-Oriented Environment: Join a talented, passionate team that values innovation, continuous learning, and professional growth. Opportunities for Leadership and Innovation: Lead pioneering projects, influence product development, and shape the future of industrial AI solutions. How to apply for this opportunity? Easy 3 Step Process: Click On Apply and register or log in to our portal Upload updated Resume & complete the Screening Form Increase your chances of getting shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Zipaworld is looking for AI/ML Intern to join our dynamic team and embark on a rewarding career journeyAssist in day-to-day departmental operations under the guidance of assigned mentors or supervisors.Support in research, data collection, documentation, and analysis tasks relevant to the assigned function or project.Learn and apply industry-relevant tools, techniques, and procedures as per organizational standards.Participate in team meetings, training sessions, and knowledge-sharing activities to gain practical exposure.Collaborate with different teams to understand workflow and contribute to short-term project goals.

So, what’s the role all about? We are seeking a skilled Senior Data Engineer to join our Actimize Watch Data Analytics team. In this role, you will collaborate closely with the Data Science team, Business Analysts, SMEs to monitor and optimize the performance of machine learning models. You will be responsible for running various analytics on data stored in S3, using advanced Python techniques, generating performance reports & visualization in Excel, and showcasing model performance & stability metrics through BI tools such as Power BI and Quick Sight. How will you make an impact? Data Integration and Management: Design, develop, and maintain robust Python scripts to support analytics and machine learning model monitoring. Ensure data integrity and quality across various data sources, primarily focusing on data stored in AWS S3. Check the data integrity & correctness of various new customers getting onboarded to Actimize Watch Analytics and Reporting: Work closely with Data Scientists, BAs & SMEs to understand model requirements and monitoring needs. Perform complex data analysis as well as visualization using Jupyter Notebooks, leveraging advanced Python libraries and techniques. Generate comprehensive model performance & stability reports, showcase them in BI tools. Standardize diverse analytics processes through automation and innovative approaches. Model Performance Monitoring: Implement monitoring solutions to track the performance and drift of machine learning models in production for various clients. Analyze model performance over time and identify potential issues or areas for improvement. Develop automated alerts and dashboards to provide real-time insights into model health. Business Intelligence and Visualization: Create and maintain dashboards in BI tools like Tableau, Power BI and QuickSight to visualize model performance metrics. Collaborate with stakeholders to ensure the dashboards meet business needs and provide actionable insights. Continuously improve visualization techniques to enhance the clarity and usability of the reports. Collaboration and Communication: Work closely with cross-functional teams, including Data Scientists, Product Managers, Business Analysts and SMEs to understand requirements and deliver solutions. Communicate findings and insights effectively to both technical and non-technical stakeholders. Provide support and training to team members on data engineering and analytics best practices and tools. Have you got what it takes? 5 to 7 years of experience in data engineering, with a focus on analytics, data science and machine learning model monitoring. Proficiency in Python and experience with Jupyter Notebooks for data analysis. Strong experience with AWS services, particularly S3 and related data processing tools. Expertise in Excel for reporting and data manipulation. Hands-on experience with BI tools such as Tableau, Power BI and QuickSight. Solid understanding of machine learning concepts and model performance metrics. Strong Python & SQL skills for querying and manipulating large datasets. Excellent problem-solving and analytical skills. Ability to work in a fast-paced, collaborative environment. Strong communication skills with the ability to explain technical concepts to non-technical stakeholders. Preferred Qualifications: Experience with other AWS services like S3, Glue as well as BI tools like QuickSight & PowerBI Familiarity with CI/CD pipelines and automation tools. Knowledge of data governance and security best practices. What’s in it for you? Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr! Enjoy NiCE-FLEX! At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. Requisition ID: 7900 Reporting into: Tech Manager Role Type: Individual Contributor

Client: TechM Location: Pan India Job Type: Fulltime Experience: 4-9 Years Budget: 18 to 19 for 4+ 25 to 26 for 6+ 7+ Below 30LPA for 8+ Job Description: 6-7 yrs of experience in IT Must have 2+ yrs of experience in Data Science, Natural language processing(NLP) and Python Must Have 1-2 yrs of experience in GenAI -with good hands-on experience in Text data analysis, Prompt Engineering, Cloud Vector DB ,Azure OpenAI models, developing and deploying Generative AI applications in production. Must have experience in atleast one end to end implementation of an Enterprise GenAI project . Department IT Department Role Developer Multiple locations Yearly salary INR3,000,000 Experience 4-9 Position Type Permanent

Responsibilities / Tasks Fullstack IOT Developer Candidate is responsible for the design and realisation of the software for our cloud and web interfaces for our single machines and complete production lines. Required Skills Bachelor s degree or equivalent with relevant experience (2 - 5 years) within similar function and international business environment. Knowledge of modern programing languages (e.g. Python, node.js) Knowledge of modern web UI (e.g. Angular, React) Knowledge Azure and Microsoft IoTEdge Self-supportive result driven team player. Willingness to travel globally (10 to 50%). Fluent in English, spoken and written. Key Responsibilities: New Developing and Programming of software on our Edge and Cloud Platform Extension and maintenance of software on our Edge and Cloud Platform Programming and conception of interface to our HMI and Data Science Platform Extend and further development of our Edge and Cloud APIs Your Profile / Qualifications Required Skills Bachelor s degree or equivalent with relevant experience (2 - 5 years) within similar function and international business environment. Knowledge of modern programing languages (e.g. Python, node.js) Knowledge of modern web UI (e.g. Angular, React) Knowledge Azure and Microsoft IoTEdge Self-supportive result driven team player. Willingness to travel globally (10 to 50%). Fluent in English, spoken and written. Did we spark your interest Then please click apply above to access our guided application process.

About the Role: Grade Level (for internal use): 12 Lead Agentic AI Developer LocationGurgaon, Hyderabad and Bangalore About The Role : A Lead Agentic AI Developer will drive the design, development, and deployment of autonomous AI systems that enable intelligent, self-directed decision-making. Their day-to-day operations focus on advancing AI capabilities, leading teams, and ensuring ethical, scalable implementations. Responsibilities AI System Design and Development Architect and build autonomous AI systems that integrate with enterprise workflows, cloud platforms, and LLM frameworks. Develop APIs, agents, and pipelines to enable dynamic, context-aware AI decision-making. Team Leadership and Mentorship Lead cross-functional teams of AI engineers, data scientists, and developers. Mentor junior staff in agentic AI principles, reinforcement learning, and ethical AI governance. Customization and Advancement Optimize autonomous AI models for domain-specific tasks (e.g., real-time analytics, adaptive automation). Fine-tune LLMs, multi-agent frameworks, and feedback loops to align with business goals. Ethical AI Governance Monitor AI behavior, audit decision-making processes, and implement safeguards to ensure transparency, fairness, and compliance with regulatory standards. Innovation and Research Spearhead R&D initiatives to advance agentic AI capabilities. Experiment with emerging frameworks (e.g.,Autogen, AutoGPT, LangChain), neuro-symbolic architectures, and self-improving AI systems. Documentation and Thought Leadership Publish technical white papers, case studies, and best practices for autonomous AI. Share insights at conferences and contribute to open-source AI communities. System Validation Oversee rigorous testing of AI agents, including stress testing, adversarial scenario simulations, and bias mitigation. Validate alignment with ethical and performance benchmarks. Stakeholder Leadership Collaborate with executives, product teams, and compliance officers to align AI initiatives with strategic objectives. Advocate for AI-driven innovation across the organization. What Were Looking For : REQUIRED S/QUALIFICATIONS Technical Expertise : 8+ years as a Senior AI Engineer , ML Architect , or AI Solutions Lead , with 5+ years focused on autonomous/agentic AI systems (e.g., multi-agent frameworks, self-optimizing systems, or LLM-driven decision engines). Expertise in Python (mandatory) and familiarity with Node.js . Hands-on experience with autonomous AI tools LangChain, Autogen, CrewAI, or custom agentic frameworks. Proficiency in cloud platforms AWS SageMaker (most preferred), Azure ML, or Google Cloud Vertex AI. Experience with MLOps pipelines (e.g., Kubeflow, MLflow) and scalable deployment of AI agents. Leadership Proven track record of leading AI/ML teams, managing complex projects, and mentoring technical staff. Ethical AI Familiarity with AI governance frameworks (e.g., EU AI Act, NIST AI RMF) and bias mitigation techniques. Communication Exceptional ability to translate technical AI concepts for non-technical stakeholders. Nice to have : Contributions to AI research (published papers, patents) or open-source AI projects (e.g., TensorFlow Agents, AutoGen). Experience with DevOps/MLOps toolsKubeflow, MLflow, Docker, or Terraform. Expertise in NLP, computer vision, or graph-based AI systems. Familiarity with quantum computing or neuromorphic architectures for AI. Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. ---- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ---- 10 - Officials or Managers (EEO-2 Job Categories-United States of America), IFTECH103.2 - Middle Management Tier II (EEO Job Group), SWP Priority Ratings - (Strategic Workforce Planning)

About the company At SBI Card, the motto Make Life Simple inspires every initiative, ensuring that customer convenience is at the forefront of all that we do. We are committed to building an environment where people can thrive and create a better future for everyone. SBI Card is proud to be an equal opportunity & inclusive employer and welcome employees without any discrimination on the grounds of race, colour, gender, religion, creed, disability, sexual orientation, gender identity, marital status, caste etc. SBI Card is committed to fostering an inclusive and diverse workplace where all employees are treated equally with dignity and respect which makes it a promising place to work. What s in it for YOU SBI Card truly lives by the work-life balance philosophy. We offer a robust wellness and wellbeing program to support mental and physical health of our employees Admirable work deserves to be rewarded. We have a well curated bouquet of rewards and recognition program for the employees Dynamic, Inclusive and Diverse team culture Gender Neutral Policy Inclusive Health Benefits for all - Medical Insurance, Personal Accidental, Group Term Life Insurance and Annual Health Checkup, Dental and OPD benefits Commitment to the overall development of an employee through comprehensive learning & development framework Role Purpose Fraud Analytics ( Prevention) Manager will need to review and study dailyApp Fraud trends and build rules and models to reduce Fraud Losses due to ID take over, First party frauds etc. He will work closely with Fraud Strategy and Fraud Ops teams to understand new fraud trends and implement new strategies. He should implement analytical tools to reduce fraud losses, control key fraud control metrics like FPR, ADR, VDR etc. and periodic rationalization of rules and trends forecasting for fraud provisioning and management reporting Role Accountability Lead the Fraud Analytics team to reduce application frauds and fraud losses and adhere to Regulatory Compliance policies through data science Analyze data on frauds and identify and recommend fraud rules rationalization to reduce frauds, enhance customer experience and ensure regulatory compliance Analyze & design rules for the fraud monitoring systems (Hunter ) to control key fraud risk metrics like FPR, ADR, VDR etc. Build fraud models using RPA for early detection of frauds, build Machine Learning predictive models to detect fraud trends Apply consumer behavior patterns, key portfolio drivers and macro-economic indicators and use data science to identify upcoming fraud trends & plug process gaps to improve forecast accuracy Prepare & publish reports for management on various key indicators i. e. consumer transaction behavior, demographic indicators and key fraud drivers Monitor fraud trends and alert decisioning, feed back the learnings/observations into the system and training people for process improvements Measures of Success AFPR, ADR, VDR Fraud Catch Rate Rule Coverage Percentage Dispute Rate Industry Benchmarking: Strive to be best in the industry on Fraud loss to Spends ratio Process Adherence as per MOU Technical Skills / Experience / Certifications In-depth knowledge of Data Analytics for predicting and analyzing large data Knowledge of Data Analytics tools including SAS, SAS-VA, Python, R, SQL, Excel, Tableau etc. Knowledge of Data Science concepts & their application on large data Competencies critical to the role Excellent Team Leading and Interpersonal Skills Mentoring the team for Upskilling and address barriers/hurdles for execution. Qualification Graduate or Masters Degree Preferred Industry Banking / Financial Services

Exp in SAS, SQL and large amounts of data US Stakeholder exp Exp of acquisition/account management credit risk models, transactional fraud models, marketing models, collections models, finance models, loss models, Loss forecasting (PD/LGD/EAD/CECL) Required Candidate profile SAS SQL Python Credit risk Credit Card Statistical Modelling Predictive Modelling

The ideal candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The role enables to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Role and responsibilities: Understand business problem and requirements by building domain knowledge and translate to data science problem. Conceptualize and design cutting edge data science solution to solve the data science problem, apply design-thinking concepts. Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need. Prototype and experiment the solution to successfully demonstrate the value. Independently or with support from team, execute the conceptualized solution as per plan by following project management guidelines. Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization. Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development, and practice development initiatives. Technical and Functional Skills: Bachelors degree in Computer Science with 4 to 6 years of work experience. Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification. Ability to engage clients to understand business requirements and convert the same into technical/modelling problems for solution development. Demonstrate strong interpersonal skills and a comfort interacting with clients from the C-suite to marketing managers to technical specialists. Demonstrated knowledge of analytical/statistical techniques and their applications; a working knowledge of/experience in R and Python is a plus. Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts in plain English. Ability to present results of statistical models in business language. Domain understanding of at least one preferably two verticals amongst Retail, Cable, Technology (not mandate). Knowledge of data visualization tools (Tableau, QlikView, etc.) is a plus. Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports. Ability to manage specific tasks to completion with minimal direction. Ideal candidate has been in a consulting role previously. Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc. Ability to collaborate with onsite colleagues in the US & UK. Expert in handling large data, cleansing & preparation for modelling. Very high attention to detail and quality.

The ideal candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The role enables to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Role and responsibilities: Understand business problem and requirements by building domain knowledge and translate to data science problem. Conceptualize and design cutting edge data science solution to solve the data science problem, apply design-thinking concepts. Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need. Prototype and experiment the solution to successfully demonstrate the value. Independently or with support from team, execute the conceptualized solution as per plan by following project management guidelines. Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization. Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development, and practice development initiatives. Technical and Functional Skills: Bachelors degree in Computer Science with 4 to 6 years of work experience. Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification. Ability to engage clients to understand business requirements and convert the same into technical/modelling problems for solution development. Demonstrate strong interpersonal skills and a comfort interacting with clients from the C-suite to marketing managers to technical specialists. Demonstrated knowledge of analytical/statistical techniques and their applications; a working knowledge of/experience in R and Python is a plus. Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts in plain English. Ability to present results of statistical models in business language. Domain understanding of at least one preferably two verticals amongst Retail, Cable, Technology (not mandate). Knowledge of data visualization tools (Tableau, QlikView, etc.) is a plus. Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports. Ability to manage specific tasks to completion with minimal direction. Ideal candidate has been in a consulting role previously. Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc. Ability to collaborate with onsite colleagues in the US & UK. Expert in handling large data, cleansing & preparation for modelling. Very high attention to detail and quality.

The ideal candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The role enables to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Role and responsibilities: Understand business problem and requirements by building domain knowledge and translate to data science problem. Conceptualize and design cutting edge data science solution to solve the data science problem, apply design-thinking concepts. Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need. Prototype and experiment the solution to successfully demonstrate the value. Independently or with support from team, execute the conceptualized solution as per plan by following project management guidelines. Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization. Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development, and practice development initiatives. Technical and Functional Skills: Bachelors degree in Computer Science with 4 to 6 years of work experience. Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification. Ability to engage clients to understand business requirements and convert the same into technical/modelling problems for solution development. Demonstrate strong interpersonal skills and a comfort interacting with clients from the C-suite to marketing managers to technical specialists. Demonstrated knowledge of analytical/statistical techniques and their applications; a working knowledge of/experience in R and Python is a plus. Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts in plain English. Ability to present results of statistical models in business language. Domain understanding of at least one preferably two verticals amongst Retail, Cable, Technology (not mandate). Knowledge of data visualization tools (Tableau, QlikView, etc.) is a plus. Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports. Ability to manage specific tasks to completion with minimal direction. Ideal candidate has been in a consulting role previously. Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc. Ability to collaborate with onsite colleagues in the US & UK. Expert in handling large data, cleansing & preparation for modelling. Very high attention to detail and quality.

The ideal candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The role enables to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Role and responsibilities: Understand business problem and requirements by building domain knowledge and translate to data science problem. Conceptualize and design cutting edge data science solution to solve the data science problem, apply design-thinking concepts. Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need. Prototype and experiment the solution to successfully demonstrate the value. Independently or with support from team, execute the conceptualized solution as per plan by following project management guidelines. Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization. Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development, and practice development initiatives. Technical and Functional Skills: Bachelors degree in Computer Science with 4 to 6 years of work experience. Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification. Ability to engage clients to understand business requirements and convert the same into technical/modelling problems for solution development. Demonstrate strong interpersonal skills and a comfort interacting with clients from the C-suite to marketing managers to technical specialists. Demonstrated knowledge of analytical/statistical techniques and their applications; a working knowledge of/experience in R and Python is a plus. Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts in plain English. Ability to present results of statistical models in business language. Domain understanding of at least one preferably two verticals amongst Retail, Cable, Technology (not mandate). Knowledge of data visualization tools (Tableau, QlikView, etc.) is a plus. Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports. Ability to manage specific tasks to completion with minimal direction. Ideal candidate has been in a consulting role previously. Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc. Ability to collaborate with onsite colleagues in the US & UK. Expert in handling large data, cleansing & preparation for modelling. Very high attention to detail and quality.

The ideal candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The role enables to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Role and responsibilities: Understand business problem and requirements by building domain knowledge and translate to data science problem. Conceptualize and design cutting edge data science solution to solve the data science problem, apply design-thinking concepts. Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need. Prototype and experiment the solution to successfully demonstrate the value. Independently or with support from team, execute the conceptualized solution as per plan by following project management guidelines. Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization. Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development, and practice development initiatives. Technical and Functional Skills: Bachelors degree in Computer Science with 4 to 6 years of work experience. Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification. Ability to engage clients to understand business requirements and convert the same into technical/modelling problems for solution development. Demonstrate strong interpersonal skills and a comfort interacting with clients from the C-suite to marketing managers to technical specialists. Demonstrated knowledge of analytical/statistical techniques and their applications; a working knowledge of/experience in R and Python is a plus. Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts in plain English. Ability to present results of statistical models in business language. Domain understanding of at least one preferably two verticals amongst Retail, Cable, Technology (not mandate). Knowledge of data visualization tools (Tableau, QlikView, etc.) is a plus. Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports. Ability to manage specific tasks to completion with minimal direction. Ideal candidate has been in a consulting role previously. Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc. Ability to collaborate with onsite colleagues in the US & UK. Expert in handling large data, cleansing & preparation for modelling. Very high attention to detail and quality.

Company: Marsh Description: We are seeking a talented individual to join our Claims team at Marsh Mc Lennan. This role will be based in Mumbai. This is a hybrid role that has a requirement of working at least three days a week in the office. The Knowledge Services team is an essential part of the strategic vision for Claims Advocacy. The Claims Advocacy team in Mumbai consists of dedicated claims professionals who support Casualty and Property claim advocates in the U.S. region. This role involves assisting Marine, Cargo & Logistics Claims Advocates in the U.S. Responsibilities include helping clients navigate their claims and managing complex insurance issues. The selected candidate will provide high-quality claims advocacy services tailored to the needs of the U.S. region. This position is located in the Mumbai office at Hiranandani. We will count on you to: Receive claim notices from US advocates and promptly notify relevant markets through the Operations team. Follow up with each market and the assigned claim adjuster to secure timely acknowledgment of the claim. Ensure that all correspondence and actions from the lead insurer are effectively communicated to all following markets. Proactively review all claims (new and old) and establish a plan of action to achieve a favourable claims resolution. Verify claims in accordance with the terms and conditions of the policy. Provide professional and timely communication with clients, brokers, and third parties to gather information and update them on the claims process. Provide regular and comprehensive status reports to account executives and claims managers. Work with the wider claims team to ensure the effective handling, processing and filing of claims on market and internal systems. Develop PowerPoint presentations for internal and external stakeholders. Chase for payments from insurers once claims have been approved to ensure prompt financial resolution. Ensure that the MClaim file is closed correctly, and all necessary documentation is completed. Collaborate with US claims advocates to support the management of complex and high-value claims, providing assistance as needed to ensure effective resolution. Assist US claims advocates by delivering data and analytics insights on high-frequency accounts, helping to identify trends and inform decision-making. What you need to have: 7-8 years of experience in the General Insurance domain across different types of claims, claims lifecycle and claim data. Graduate or masters in commerce or business administration or any equivalent education programme in Insurance domain. Should possess sound knowledge of Marine insurance claims related to cargo, vessels, or liabilities along with marine insurance laws and maritime regulations. Strong leadership skills with the ability to guide teams, make confident decisions, and drive results through collaboration and clear direction. MS Office proficiency (Word, Excel, Outlook, PowerPoint). Strong Excel proficiency. Strong verbal and written communication skills - excellent email writing skills. Must be comfortable with working on new age data management tools What makes you stand out Strong persistence and follow-up skills. Possession of relevant insurance designations such as AIC (Associate in Claims) or AII (Associate in Insurance) is highly beneficial. Knowledge and experience of resolving complex claims across a variety of relevant business lines. Proficient in data analytics tools, with a strong ability to derive actionable insights from complex datasets. Experienced in working with AI models, leveraging advanced technologies to enhance decision-making processes. Proven track record of collaborating with offshore colleagues, fostering teamwork and driving project success across geographical boundaries Why join our team: We help you be your best through professional development opportunities, interesting work and supportive leaders We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person.

Company: Marsh Description: We are seeking a talented individual to join our Data Science team at Marsh. This role will be based in Mumbai. This is a hybrid role that has a requirement of working at least three days a week in the office. Senior Manager - Data Science (AI - CoE) This role at Knowledge Services aims to provide colleagues with an exposure towards key risks faced by businesses and utilize Artificial intelligence to manage, transfer or mitigate them. Incumbent is expected to be an expert of Generative AI (OpenAI APIs), Prompt Engineering, Data Science algorithms, Business Analytics and Data Manipulation. Incumbent will also have an opportunity to contribute to cutting edge analytics platform and products. Expertise in Python is a must. Experience with Insurance or Banking industry is a plus. This position is for an individual contributor in AI and Data Science, who will develop and implement leading-edge techniques in artificial intelligence, machine learning, predictive modeling, and natural language processing as applied in commercial insurance and risk management. This position consults with senior colleagues on complex financial and statistical analyses, and develops approaches for new, market-leading AI-based tools. We will count on you to Understand and refine the Math and Statistics behind the complex AI models Build AI and machine learning algorithms based on the business ask Keep up pace with new trends in the AI world Mine and analyze data to drive optimization and implement business strategies Deploy APIs on the cloud platforms by understanding the technical ask Develop statistical custom data models and algorithms from scratch to enhance current value proposition and new product development What you need to have: Develops solutions based on Large Language Models, Advanced transformers, Advanced deep learning/Neural networks models Expertise in image based advanced models, Object detection, Video/Image processing, multimodal RAGs and other image and video models Develops and deploys API based business solutions on AWS platforms Coordinates with technology colleagues within and outside the team for support, manage, enhance and retrains deployed models Keeps pace with the fast-evolving world of AI, large language models and other type of AI solutions in the market and able to apply research level knowledge to benefit Marsh advisory businesses Designs, develops and contributes to Data architecture for complex enterprise level applications Deploys solutions on AWS cloud platforms Understands business problems to create an approach that starts with determining structured and unstructured data needs and availability, builds AI/ML models, and finalizes with results that unlock insight for clients/colleagues, deploy these solutions on web framework and enterprise wide platforms Demonstrates skill in advanced statistical analysis, data mining, and/or research techniques, combined with broader awareness of the business and ongoing research, while functioning in a collaborative role with the Data Science team and across the wider organization Stays current with ongoing research in the field and brings new approaches to the team Coaches team members on the delivery of AI-based tools and analyses and presentation of findings Masters Degree in Engineering, Computer Science, Data Science or related field 7+ years of experience in the field of Data Science, AI research or similar fields Expert Data Scientist, including expertise with AI and machine learning model building Ability to influence others within and outside of the job function regarding approach and procedures Superior detail orientation, excellent communication and interpersonal skills Expertise of modern programming languages such as Python, including NumPy, Keras, TensorFlow, SQL, and PyTorch etc Familiar with Hugging face and is library of models What makes you stand out Building, training and deploying advanced models from the scratch to the production Business impact with AI models Understanding of insurance and risk management Knowledge and demonstrated experience of advance AI concepts like training language, voice, image or computer vision models Experience of building data visualization in Plotly/Dash/D3.js Hands on experience with stochastic or econometric modelling Why join our team: We help you be your best through professional development opportunities, interesting work and supportive leaders. We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities. Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person.

Company: Oliver Wyman Description: Oliver Wyman DNA team is now looking to hire a Senior Data Analytics Specialist - we are looking for individuals with strong experience in Power BI and Tableau OW DNA Overview The Oliver Wyman DNA is a distinguished center of excellence for business analytics and data analytics within Oliver Wyman. This group leverages data and information to provide business insights to Oliver Wyman consulting teams driving positive outcomes and tangible impact for Oliver Wymans clients. The group combines cutting edge data science expertise with core consulting expertise to augment engagement teams with analytical firepower to deliver outstanding results. Key Responsibilities: Design and create interactive dashboards to effectively communicate data insights to stakeholders. Gather and extract data from various databases, Excel, and other relevant sources to support BI reporting and analysis. Engage with stakeholders to understand their reporting needs and define key performance indicators (KPIs) and ensure alignment with business objectives. Coordinate with various stakeholders to understand the data structure, collect, clean, transform, validate, and visualize datasets, ensuring the integrity of our data flows Develop data models to identify relationships and trends within the data, enhancing the understanding of business performance. Perform analysis in SQL and Python to derive actionable insights and support data-driven decision-making. Maintain and optimize existing BI reports and dashboards, ensuring accuracy and relevance of the information presented. Manage the design, development, and delivery of self-service data infrastructure Identify and manage dependencies and risks across various analytics datasets and models Education: Bachelors degree in science, Finance, Mathematics, Economics or equivalent. MS or Certificate courses in analytics preferred Experience: Overall experience of 2+ years in business intelligence tools such as Power BI, Tableau. Excellent analytical and problem-solving skills with proven ability to deliver actionable insights and proficiency in data modelling and visualization skills. Proven experience with data automation, creating dashboards in Power BI and Tableau and analytical models. Strong written and verbal communication skills with demonstrated ability to interact effectively with all levels of stakeholders (both internal and external) Fast learner with ability to learn and pick up a new tool/ platform quickly Advanced skills in MS-office, along with familiarity with Gen AI and other analytical tools preferred Experience in data analytics tools such as SQL and python is preferred Willingness to travel as required to meet client needs. Oliver Wyman, a business of Marsh McLennan (NYSEMMC), is a management consulting firm combining deep industry knowledge with specialized expertise to help clients optimize their business, improve operations and accelerate performance. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businessesMarsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person.

Company: Oliver Wyman Description: Oliver Wyman DNA team is now looking to hire a Lead Data Analytics Specialist based in our Hyderabad office. OW DNA Overview The Oliver Wyman DNA is a distinguished center of excellence for business analytics and data analytics within Oliver Wyman. This group leverages data and information to provide business insights to Oliver Wyman consulting teams driving positive outcomes and tangible impact for Oliver Wymans clients. The group combines cutting edge data science expertise with core consulting expertise to augment engagement teams with analytical firepower to deliver outstanding results. Key Responsibilities: Serve as the primary analytical resource for client teams, building trusted relationships with key stakeholders. Collaborate with senior team members to identify risks and growth opportunities, utilizing analytical insights for client benefit. Extract and manipulate data from various sources using SQL and Python for business intelligence reporting. Engage with stakeholders to understand reporting needs and align KPIs with strategic objectives. Coordinate with stakeholders to collect, clean, and validate datasets, ensuring data integrity through coding techniques. Develop and implement data models in SQL and Python to uncover trends and enhance business performance insights. Conduct in-depth analyses with SQL and Python to provide actionable insights for client decision-making. Maintain and optimize BI reports through coding improvements to ensure accuracy and relevance. Stay updated on market trends and best practices in data analytics to enhance service offerings and quality standards. Mentor junior team members in analytical coding practices, fostering a collaborative learning environment. Education: Bachelors degree in science, Finance, Mathematics, Economics or equivalent. MS or Certificate courses in analytics preferred Experience: Over 4+ years of experience in data analytics, focused on SQL and Python coding. Proficient in data analytics tools such as SQL and Python, with a solid track record of managing complex analytical projects Strong analytical and problem-solving skills, delivering actionable insights through data modelling and analysis Excellent client-facing abilities, building relationships with senior stakeholders and influencing decision-makers. Strong written and verbal communication skills, effectively engaging with stakeholders at all levels. Adaptive learner with the ability to rapidly adopt new tools and platforms, including knowledge of Gen AI Entrepreneurial mindset with a collaborative approach to problem-solving and a commitment to mentoring and developing talent. Familiarity with creating visualizations in Power BI and Tableau is a plus. Oliver Wyman, a business of Marsh McLennan (NYSEMMC), is a management consulting firm combining deep industry knowledge with specialized expertise to help clients optimize their business, improve operations and accelerate performance. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businessesMarsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person.

Company: Marsh Description: We are seeking a talented individual to join our Actuarial team at Marsh Mc Lennan. This role will be based in Mumbai. This is a hybrid role that has a requirement of working at least three days a week in the office Business Title Lead Specialist - Actuarial No. Of Roles1 LocationMumbai Last Date to Apply 18th June We will count on you to: Deliver internal and client-facing climate modelling projects within the APAC region. Contribute to the interpretation of catastrophic events within the framework of climate variability. Conduct data analysis and statistical modeling of climate trends and signals related to long-term climate change, ensuring accurate documentation of methodologies and results for a diverse range of audiences. Help organizations of all shapes and sizes access and benefit from climate risk analysis in a way relevant to their businesses. Work collaboratively in multi-disciplinary teams of engineers, actuaries, and catastrophe modelers. What you need to have: Masters degree + 2 years of work experience in the area climate modelling and/or climate risk or Ph.D., in climate risk and/or climate modelling. Advanced knowledge of current climate science research, the physical processes of climate change, global climate models, and methodologies related to CMIP, downscaling, and bias correction, including ability to work with NetCDF / raw climate data from ECMWF / reanalysis data. Demonstrated experience in integrating statistical methods with climate physical data to effectively address uncertainty. Proficiency in coding, particularly in R, Python, or any scripting language, is highly advantageous along with experience in RShiny or PowerBI for front end applications. Experience in spatial data analysis and presentation. An understanding of climate scenarios especially IPCC and NGFS would be considered a plus as would experience with econometric modeling. Ability to interact effectively with a diverse team and provide client focused insights. Exposure to consulting projects would be considered prefential Eligibility Minimum 12 months experience as Senior Specialist (C2) / Lead Specialist (D1) Should have at least On-Track or equivalent rating in last appraisal. Should not be under any Performance Counselling Plan or had any official disciplinary action within the last 3 months. Should not have applied for any other IJP in the last 3 months Disclaimer Please note that the relocation assistance shall not be provided for the said position Candidates who wish to apply for inter-location positions are required to check with the Transport Help Desk (THD) to confirm if their place of residence is within the served transport service zone Mention your employee id and official email address in the resume What makes you stand out Concepts of climate science including GCMs / RCMs and downscaling approaches. Basic concepts of statistics. Knowledge about current updates in the domain of climate risk analysis and impact of climate change in at least 2-3 sectors. Ability to communicate complex ideas effectively. Learnings from previous work experiences/academic projects. The candidate is expected to have clarity on their current career position and goals for 2-3 years. Why join our team: We help you be your best through professional development opportunities, interesting work and supportive leaders. We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities. Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being. Guy Carpenter, a business of Marsh McLennan (NYSEMMC), is a leading global risk advisory and reinsurance specialist and broker. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businessesMarsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit guycarp.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person.

The ideal candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The role enables to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Role and responsibilities: Understand business problem and requirements by building domain knowledge and translate to data science problem. Conceptualize and design cutting edge data science solution to solve the data science problem, apply design-thinking concepts. Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need. Prototype and experiment the solution to successfully demonstrate the value. Independently or with support from team, execute the conceptualized solution as per plan by following project management guidelines. Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization. Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development, and practice development initiatives. Technical and Functional Skills: Bachelors degree in Computer Science with 4 to 6 years of work experience. Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification. Ability to engage clients to understand business requirements and convert the same into technical/modelling problems for solution development. Demonstrate strong interpersonal skills and a comfort interacting with clients from the C-suite to marketing managers to technical specialists. Demonstrated knowledge of analytical/statistical techniques and their applications; a working knowledge of/experience in R and Python is a plus. Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts in plain English. Ability to present results of statistical models in business language. Domain understanding of at least one preferably two verticals amongst Retail, Cable, Technology (not mandate). Knowledge of data visualization tools (Tableau, QlikView, etc.) is a plus. Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports. Ability to manage specific tasks to completion with minimal direction. Ideal candidate has been in a consulting role previously. Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc. Ability to collaborate with onsite colleagues in the US & UK. Expert in handling large data, cleansing & preparation for modelling. Very high attention to detail and quality.