535 Advanced Analytics Jobs - Page 17

Hiring for Big Data Engineer- Pune Job Title: Big Data Engineer Experience Level: Mid-Level (4+ Years) Job Summary: We are seeking a highly skilled Big Data Engineer to join our data engineering team. The ideal candidate will have experience in designing, developing, and optimizing large-scale data processing systems. You will work with big data technologies to build scalable data pipelines, support advanced analytics, and enable real-time decision-making across the organization. Key Responsibilities: Design and develop scalable data pipelines to ingest, transform, and store structured and unstructured data. Build and maintain distributed processing systems using tools like Apache Spark, Hadoop, Kafka, and Hive . Work closely with data scientists, analysts, and business users to understand data requirements. Ensure data quality, integrity, and lineage across all stages of the pipeline. Develop ETL/ELT processes and optimize existing workflows for performance and reliability. Integrate data from various sources including APIs, databases, and cloud storage systems. Monitor and troubleshoot data pipeline issues and ensure uptime and reliability. Implement data security and governance best practices. Stay updated with the latest trends and technologies in big data and cloud platforms.

Job Description Job Role: Job Summary: The Analytics Insights Lead is responsible for leveraging data to generate actionable insights that drive strategic business decisions. This role involves designing, managing, and implementing advanced analytics solutions, collaborating with cross-functional teams, and fostering a datadriven culture across the organization. Key Responsibilities: 1. Data Analysis & Insights o Conduct advanced analyses to identify trends, opportunities, and risks. o Deliver actionable recommendations to improve business performance and customer outcomes. o Develop predictive models and dashboards to monitor KPIs. 2. Strategic Collaboration o Work closely with leadership to understand business goals and align analytics initiatives. o Partner with cross-functional teams (e.g., Sales, Marketing, Operations) to translate data insights into strategies. o Lead discussions to integrate insights into decision-making processes. 3. Data Management & Visualization o Design and maintain intuitive dashboards and reports using tools like Tableau, Power BI, or Looker. o Ensure data accuracy and integrity through rigorous quality checks. o Develop storytelling frameworks to present complex data in a simple and compelling manner. 4. Innovation & Process Improvement o Identify opportunities to enhance analytics capabilities with emerging tools and technologies. o Streamline data pipelines and processes for improved efficiency and scalability. Qualifications 5+ years of experience in data analytics, data science, or related roles Proven track record of delivering insights that drive business results. Soft Skills: Strong analytical mindset with excellent problem-solving skills. Exceptional communication and storytelling abilities to present data-driven insights to nontechnical audiences. Ability to manage multiple projects, prioritize tasks, and meet deadlines

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it , our most valuable asset is our people. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage an d passion to drive life-changing impact to ZS. Our most valuable asset is our people . At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems—the ones that comprise us as individuals, shape who we are and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. Data Science Associate Consultant Data Science Associate Consultant (DSA) design, develop and execute high-impact analytics solutions for large, complex, structured and unstructured data sets (including big data) to help clients make better fact-based decisions. What You’ll D o Stay updated with the latest developments in Deep Learning and AI research. Implement and fine-tune advanced models in deep learning, with a focus on Transformers for sequential data (e.g., time series, text, and vision). Apply knowledge of large language model (LLM) fine-tuning and alignment approaches to improve model performance. Utilize active learning techniques to train models more efficiently and effectively. Collaborate with cross-functional teams to develop and deploy machine learning models in production. Contribute to research projects aimed at advancing the field of AI and machine learning. Develop advanced algorithms that solve problems of large dimensionality in a computationally efficient and statistically effective manner Collaborate with clients and other ZS stakeholders to effectively integrate and communicate analysis findings Contribute to the evaluation of emerging datasets and technologies that may contribute to our analytical platform Owning the development of select assets/accelerators for efficient scaling of capability, with a focus on leveraging generative AI and deep learning methodologies. Integrate engineering principles into data science workflows, optimizing algorithms for performance, scalability, and maintainability. Collaborate with the engineering team to implement and deploy data science solutions into production, ensuring seamless integration with existing systems. Utilize software engineering best practices for version control, code review, testing, and documentation to maintain high-quality, reliable, and reproducible data science workflows. What You’ll Bring Bachelor's or master's degree or PhD in Computer Science (or Statistics) from a premier institute, and strong academic performance with analytic and quantitative coursework is required 4-7 years of Data Science experience, including proficiency in generative AI, deep learning, statistical techniques, and engineering integration for scalable solutions Knowledge of programming (e.g. Java/Python/R); Knowledge of big data/advanced analytics concepts and algorithms (e.g. text mining, social listening, recommender systems, predictive modeling, etc.) Excellent oral and written communication skills. Strong attention to detail, with a research-focused mindset; Excellent critical thinking and problem-solving skills; High motivation, good work ethic and maturity. Exposure to Generative AI and its usage to solve problems is a plus. Perks & Benefits ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To Complete Your Application Candidates must possess or be able to obtain work authorization for their intended country of employment.An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At www.zs.com

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it , our most valuable asset is our people. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage an d passion to drive life-changing impact to ZS. Our most valuable asset is our people . At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems—the ones that comprise us as individuals, shape who we are and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. What you’ll do Lead end to end projects using cloud technologies to solve complex business problems Provide technology expertise to maximize value for clients and project teams Drive strong delivery methodology to ensure projects are delivered on time, within budget and to client’s satisfaction Ensure technology solutions are scalable, resilient, and optimized for performance and cost Guide coach and mentor project team members for continuous learning and professional growth Demonstrate expertise , facilitation, and strong interpersonal skills in internal and client interactions Collaborate with ZS experts to drive innovation and minimize project risks Work globally with team members to ensure a smooth project delivery Bring structure to unstructured work for developing business cases with clients Assist ZS Leadership with business case development, innovation, thought leadership and team initiatives What you’ll bring Candidates must either be in their junior year of a Bachelor's degree or in their first year of a Master's degree specializing in Business Analytics, Computer Science, MIS, MBA, or a related field with academic excellence 5+ years of consulting experience in leading large-scale technology implementations Strong communication skills to convey technical concepts to diverse audiences Significant supervisory, coaching, and hands on project management skills Extensive experience with major cloud platforms like AWS, Azure and GCP Deep knowledge of enterprise data management, advanced analytics, process automation, and application development Familiarity with industry- standard products and platforms such as Snowflake, Databricks, Redshift, Salesforce, Power BI, Cloud. Experience in delivering projects using agile methodologies Additional skills Capable of managing a virtual global team for the timely delivery of multiple projects

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it , our most valuable asset is our people. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage an d passion to drive life-changing impact to ZS. Our most valuable asset is our people . At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems—the ones that comprise us as individuals, shape who we are and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. ZS’s Digital and Technology group focuses on driving end to end Digital Transformation that includes Digital Strategy, Human centered Design, exploiting emerging technologies, and purposeful change management to improve customer and company results. The types of solutions include Digital Strategy and Advisory services, end to end Transformation Management, Enterprise Data, Analytics and AI, Intelligent Automation, reimagining business processes with digital first lens and building Digital Products, Solutions and Digital Platforms leveraging Big Data Technologies, AI/ML and Advance Analytics, Digital Platform configuration and integrations. We provide a complete spectrum of technology solutions, from strategy and roadmap definition to full scale implementation and on-going operations. Our team possesses deep expertise in leading digital transformation, enterprise data analytic and AI, Data science and advanced analytics and building end to end digital. Manager- Enterprise Architect in Tech and Cloud Advisory ZS's Technology Advisory Group ensures our future information, technology and architectural landscape is built to plan and evolve as our business grows, striving to balance future-proofing our end-to-end technology stack while accelerating the speed of innovation and streamlining the delivery of business capability. This role will be responsible for supporting the growth and development of our Technology Advisory Practice within the ZS Technology Services business. The successful candidate will work closely with ZS practice leadership and be responsible for evolving our practice, enriching our practice assets and collaterals, building, and managing client relationships, generating new business engagements, and providing thought leadership in the Technology and Architecture Area. What You’ll Do Design robust and scalable solutions consistent with ZS and industry practices; take advantage of the existing assets and maintaining a balance between architecture requirements and specific client needs Drive technical architecture and design discussions with internal and client groups to brainstorm and finalize technology solutions Collaborate with the Architecture & Engineering expertise centre leadership to define technology roadmap and work with delivery team to put together a plan for technical implementation with and stay on track Stay current on latest technology trends and architecture patterns, and lead the effort to develop ZS POV for strategic decision-making Engage with clients to understand their needs and provide tailored solutions. Advance ZS’ technology offerings by innovating and scaling tech assets, driving feasibility analysis to select technologies/platforms that provide the best solution Define and establish a technical strategy, standards, and guidelines in the data architecture domain Groom junior team members and maintain a culture of rapid learning and explorations to drive innovations / POCs on emerging technologies and architecture patterns Participate and support the business development activities. What You’ll Bring Bachelor's degree with specialization in Computer Science, IT or other computer related disciplines 8+ years of relevant experience in designing semantic architecture at an enterprise-scale. Strong engineering mindset to build highly available and robust architecture frameworks, technology solutions and reusable assets Expertise in one or more of initiatives like cloud strategy, IT transformation, and application portfolio assessment. Excellent communication and client engagement skills and ability to work in a fast-paced and dynamic environment. Experience in providing architecture alternatives, product evaluation and recommendations, POVs for implementation/adoption . Experience in scaling technology solutions aimed at solving complex business problems. Knowledge of all phases of solution development for large-scale solutions and experience working in agile teams with short release cycles. Strong technical team leadership, mentorship and collaboration abilities. Perks & Benefits: ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel: Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To Complete Your Application: Candidates must possess or be able to obtain work authorization for their intended country of employment.An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At www.zs.com

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it , our most valuable asset is our people. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage an d passion to drive life-changing impact to ZS. Our most valuable asset is our people . At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems—the ones that comprise us as individuals, shape who we are and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. About Advanced Data Science (ADS) ZS’s Advanced Data Science group is focused on creating practical impact for clients across various industries such as Healthcare and Bio-Tech, Hi-Tech & Telecommunication, Financial Services and Travel through advanced analytics and emerging data sources. Emerging datasets include both unstructured datasets (for example, text, voice, image, etc.) and semi-structured datasets (for example, patientlevel records). Advanced analytical techniques span a range of innovative machine learning, artificial intelligence, advanced statistics and optimization approaches. Being part of the ADS group at ZS will be an opportunity for you to work on cutting-edge solutions, utilizing new age data sources to shape innovations across multiple areas, for our clients and the broader ZS community. A key enabler of our services is leveraging data in delivering client solutions. The data available about customers is getting richer and the problems that our customers are trying to answer continue to evolve. In our endeavor to stay ahead in providing solutions to these evolving complex problems, ZS has set up an Advanced Data Science which has three major focus areas Research the evolving datasets and advanced analytical techniques to develop new offerings/solutions Deliver client impact by collaboratively implementing these solutions Provide thought leadership by developing the ZS Point of View in this space Data Science Managers (DSMs) design, develop and execute analytic techniques on large, complex, structured and unstructured data sets (including big data) to help clients make better fact-based decisions. DSMs will develop new offerings/solutions, drive client impact by delivering client solutions and shape the ZS point of view in this space. You will be responsible for applying analytical techniques to model complex business problems, uncovering insights, and identifying opportunities using statistical, algorithmic, mining, and visualization techniques. What You’ll Do: Lead and mentor a team of data scientists, providing guidance and support to ensure the successful execution of client projects. Develop and implement data science strategies that align with the overall goals of the AI team and the organization. Drive business and strategy development through project delivery and client relationship management; Develop/sell new business opportunities Direct multiple projects simultaneously, honing analytic and project management skills; Play a key role in development of data science capabilities and offerings that create scale and advance our analytic platform; Motivate, coach and serve as a role model for project team members Provide thought leadership and innovation through research and publication. What You’ll Bring PhD degree in Computer Science, Statistics or related discipline; 8+ years of relevant post-collegiate work experience; in lieu of a PhD, 10+ years of work experience may substitute. Experience with big data, claims analytics, advanced analytics concepts and algorithms (e.g. text mining, social listening, recommender systems, predictive modeling, Gen AI, proficiency with large language models etc.); Relevant programming background (e.g. Python/R); Strong understanding of relevant tools/platforms (e.g. cloud platforms such AWS/Azure); Proven track record of business development Agile project planning and project management experience; Team management and skill development experience; Relevant domain knowledge preferred; (healthcare, pharma); Excellent oral and written communication skills; Strong attention to detail, with a research-focused mindset; Excellent critical thinking and problem solving skills; Perks & Benefits: ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel: Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To Complete Your Application: Candidates must possess or be able to obtain work authorization for their intended country of employment.An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At www.zs.com

About the Role We are seeking a highly skilled and experienced Data Architect to join our team. The ideal candidate will have at least 18 years of experience in Data engineering and Analytics and a proven track record of designing and implementing complex data solutions. As a senior principal data architect, you will be expected to design, create, deploy, and manage Blackbaud’s data architecture. This role has considerable technical influence within the Data Platform, Data Engineering teams, and the Data Intelligence Center of Excellence at Blackbaud. This individual acts as an evangelist for proper data strategy with other teams at Blackbaud and assists with the technical direction, specifically with data, of other projects. What you'll do Develop and direct the strategy for all aspects of Blackbaud’s Data and Analytics platforms, products and services Set, communicate and facilitate technical direction more broadly for the AI Center of Excellence and collaboratively beyond the Center of Excellence Design and develop breakthrough products, services or technological advancements in the Data Intelligence space that expand our business Work alongside product management to craft technical solutions to solve customer business problems. Own the technical data governance practices and ensures data sovereignty, privacy, security and regulatory compliance. Continuously challenging the status quo of how things have been done in the past. Build data access strategy to securely democratize data and enable research, modelling, machine learning and artificial intelligence work. Help define the tools and pipeline patterns our engineers and data engineers use to transform data and support our analytics practice Work in a cross-functional team to translate business needs into data architecture solutions. Ensure data solutions are built for performance, scalability, and reliability. Mentor junior data architects and team members. Keep current on technologydistributed computing, big data concepts and architecture. Promote internally how data within Blackbaud can help change the world. What you'll bring 18+ years of experience in data and advanced analytics At least 8 years of experience working on data technologies in Azure/AWS Expertise in SQL and Python Expertise in SQL Server, Azure Data Services, and other Microsoft data technologies. Expertise in Databricks, Microsoft Fabric Strong understanding of data modeling, data warehousing, data lakes, data mesh and data products. Experience with machine learning Excellent communication and leadership skills. Preferred Qualifications Experience working with .Net/Java and Microservice Architecture Stay up to date on everything Blackbaud, follow us on Linkedin, X, Instagram, Facebook and YouTube Blackbaud is a digital-first company which embraces a flexible remote or hybrid work culture. Blackbaud supports hiring and career development for all roles from the location you are in today! Blackbaud is proud to be an equal opportunity employer and is committed to maintaining an inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, physical or mental disability, age, or veteran status or any other basis protected by federal, state, or local law.

We are seeking a Senior Manager - Data Analytics to lead enterprise-scale data science and analytics initiatives, focused on activating curated datasets and modernizing the organizations data infrastructure. This role will lead the strategy, design, and implementation of scalable analytics models in partnership with our enterprise data warehouse and big data platforms. The ideal candidate will combine deep technical expertise in data science and engineering with the business acumen to influence senior stakeholders and drive high-impact decisions. Key Responsibilities: Team Management :Direct and mentor the data science team to design, build, and deploy advanced analytics models and solutions Data Pipeline :Design scalable pipelines and workflows for large-scale data processing with high reliability and performance Model Development:Oversee development of ML/AI-driven predictive and prescriptive models with a focus on operationalization. Big Data Strategy: Drive scalable analytics solutions using Spark, Hadoop, Snowflake, S3, and cloud-native big data architectures Code Optimization: Supervise automation and optimization of data integration and analysis workflows using SQL, Python, and modern tools Cloud Management: Manage datasets on Snowflake and similar platforms with emphasis on governance and best practices. Model Maintenance: Define practices for model monitoring, retraining, and documentation to ensure long-term relevance and compliance. Stakeholder Engagement: Collaborate with stakeholders to understand needs, prioritize projects, and create solutions that drive measurable outcomes Continuous Improvement: Champion innovation by integrating emerging technologies and techniques into the team s toolkit. Drive a culture of continuous improvement by staying abreast of advancements in data science and integrating innovative methods into workflows. Mentorship : Foster growth, collaboration, and knowledge sharing within the data science team and across the broader analytics community. Basic Qualifications Masters OR Ph.D. with 15 years with 10+ years of relevant experience in Data Science , Statistics, operational research or related field. Hands-on experience with machine learning models, both supervised and unsupervised, in large-scale production settings Proficiency in Python, SQL, and modern ML frameworks. Extensive experience with big data technologies such as Hadoop, Spark, MapReduce , and Snowflake. Track record of translating data into business impact and influencing senior stakeholders. Strong foundation in data modeling and governance aligned with data warehouse best practices. Excellent written and verbal communication skills. Preferred Qualifications: Experience with orchestration tools (eg, Airflow, dbt). Familiarity with BI/Visualizatio n tools such as Tableau, Looker, or Power BI. Experience working with cross-functional business units Background in building and leading enterprise-level data science or advanced analytics programs. Understanding of ethical implications and governance practices related to data science and ML. WHAT YOU CAN EXPECT FROM US: Pure Innovation : We celebrate those who think critically, like a challenge and aspire to be trailblazers. Pure Growth : We give you the space and support to grow along with us and to contribute to something meaningful. We have been Named Fortunes Best Large Workplaces in the Bay Area , Fortunes Best Workplaces for Millennials and certified as a Great Place to Work ! Pure Team : We build each other up and set aside ego for the greater good

Maersk is a global leader in integrated logistics and have been industry pioneers for over a century. Through innovation and transformation we are redefining the boundaries of possibility, continuously setting new standards for efficiency, sustainability, and excellence. At Maersk, we believe in the power of diversity, collaboration, and continuous learning and we work hard to ensure that the people in our organisation reflect and understand the customers we exist to serve. With over 100,000 employees across 130 countries, we work together to shape the future of global trade and logistics. Join us as we harness cutting-edge technologies and unlock opportunities on a global scale. Together, let's sail towards a brighter, more sustainable future with Maersk. Position Summary The Regional Solutions & Service Engineer develops solutions working closely with MbM Product team, Sales and Opportunity Management based on modules that address the customers requirements with cost-effective, high quality logistics solutions which can be effectively implemented and executed Location: Mumbai / Gurgaon Must-Have Skills: Strong expertise in data analytics and data mining Extensive experience in SCM solution design and implementation Deep understanding of large-scale SCM processes Proficiency in Profit and Loss design and analysis Proven track record in cost optimization strategies Industrial experience in manufacturing, automotive, and chemical sectors preferred (Open for other) Job Responsibilities Develop solutions in line with MbM strategy and customer needs Basic supply chain analytics projects Analysis and compatibility against business processes to execute required solution and solution changes. Analyse end-to-end supply chain of Clients for potential cost saving opportunity Identify and analyse potential configuration gaps using various MbM technology platforms/ application. Interpret and analyse gathered customer requirements and translate into a solution proposal, Develop and maintain solution concepts. Configure Solution Building blocks - maximise use of existing solutions already successfully operated Quantify the solution resource and implementation requirements e.g. FTEs, costs, EDI development, facilities, capabilities, equipment/services Work with Product/IT to develop alternative Solutions in case of capability gaps where applicable. Clearly outline solutions in appropriate formats for presentation to customers and handover to the implementation team. Management dashboards to show profit levels, HC expenditures and other such meaningful metrics across customers, verticals and geographies. Financial and operational benchmarking Review and support customer solutions and implementations Act as custodian of sustainable operational quality and efficiency Project manage the solution design process to ensure on-time delivery Channel requests for re-engineering, re-development of Solution Building Blocks to product managers. Regular review of cost to serve Vs pricing and tie it with P&L. Maintain the repository of the global pricing database and update with relevant changes. Accountable for: Analytics of current supply chain model of the customer. Solution quality, its implementation and execution Visibility on Operating Cost drivers and Execution of the initiatives Review and respond to the queries on the solutions if any seeked by the Opportunity Management Evaluation Board (OMEB) Skills Required Education: Masters degree from recognized university. Degree in Operations or Supply Chain Management preferred. Experience: Minimum 7 years of experience in transportation with experience in solution designing and supply chain. 5+ years experience in the analytics, design or operations of international supply chains Project management experience will be an advantage. Direct experience in one or more core industry verticals Analytical with proficiency in translating complex requirements into tangible solutions Effective interpersonal and communication skills In-depth understanding o f End-to-end International logistics concepts Strong financial acumen Excellent interpersonal and presentation skills Be able to work independently, and willing to travel upon business requirements Skills to manage sensitive customers and personalities Behavioural Assertive/decisive and pro-active High sense of urgency & persistence Confidence in dealing with people and building lasting relationships/networks Ambitious and result oriented self-starter with initiative and strong drive Problem solving skills and customer service skills Other Outstanding verbal, written & presentation skills Ability to work in a matrix organization and influence decision making Ability to interface with senior leadership stakeholders within & outside the organization. Internal Stakeholders: Regional product heads, Global product teams, Commercial teams, Operations teams. External Stakeholders: Customers, Suppliers Reports into Regional Head of Solution & Services.

Role & responsibilities Work Areas - As part of the Credit Portfolio Risk Analytics (CPRA) Wholesale team the candidate would be working on: 1. Develop statistical PD models to accurately capture inherent credit risk in underwriting and track model performance on an ongoing basis 2. Estimate risk parameters such as PD, LGD and CCF to be used for Banks risk management and reporting purposes 3. Develop Risk Dashboard covering various dimensions to monitor the portfolio, conduct industry analysis and outlook assessment 4. Designing of new early warning triggers by tapping various internal/external sources, rollout of various MIS pertaining to internal ratings 5. Regulatory reporting as per Basel capital computation standards (Standardized and Advanced IRB approach), provisioning computations as per IndAS, IFRS and CECL guidelines ensuring SOX compliance 6. Develop advanced analytics models making use of machine learning for predicting credit risk 7. Conduct Stress testing on the Banks portfolio under various scenarios i.e. Concentration, Climate risk etc. 8. Conduct detailed product analysis and outlook assessment for risk management using various data sources both internal and external such as Bureau etc. 9. Maintenance and revision of various credit risk and regulatory policies 10. Presentation and review with senior management Qualification - 2 years full time Post-graduate degree (preferably in Statistics or an MBA or Economics degree with a strong quantitative underpinning)

At Amazon, were evolving on how sellers connect with millions of customers worldwide through our Marketplace platform. With over 2 million active sellers globally, we recognize that successful product listings are crucial to both seller success and customer satisfaction. However, weve identified that creating detailed, accurate product listings remains a significant challenge for many sellers. Thats where our Grocery Catalog Operations Intelligence (GCOI) team steps in. Were transforming the seller experience by taking on the complex task of building product creation files ourselves, eliminating a major friction point in the listing process. Our team combines operational excellence with data-driven intelligence to streamline the entire catalog management process. Through advanced analytics and business intelligence, we deliver actionable insights that drive strategic decisions across US Grocery operations. About the team GCOI team drives operational excellence through continuous innovation and defect elimination, delivering seamless and reliable experiences for customers and stakeholders. Our commitment centers on maximizing resource efficiency while eliminating operational waste, leveraging data-driven metrics to enhance performance, and providing strategic support across Catalog programs. Through our BI capabilities, we deliver actionable insights that power informed decision-making across US Grocery operations. - Bachelors degree - Speak, write, and read fluently in English - Experience with Microsoft Office products and applications - Experience with Excel

In this role you will build complex product solutions that leverage machine learning and advanced analytics to solve for payments fraud and abuse. You will be responsible for defining the product features, partnering with engineering to design solutions, creating a phased rollout plan, and working across a broad stakeholder group to deliver results. This role calls for an individual to showcase high judgment and decision making skills to balance customer experience with financial impact. There will be a steep learning curve, adding a fair amount of business skills to the individual. Our ideal candidate has a track record of Product Delivery of complex, multi-faceted products, is driven by data, and has the written and spoken ability to engage with and influence cross-functional stakeholders. In this position you will: - Build and manage product solutions to protect Amazon Pay from Fraud Abuse, including socializing the vision and results with Senior Leaders across Amazon - Work with ML scientists and leverage advanced analytics team to identify Modus Operandi being used by bad actors. Translate the learnings into product roadmap to systematically mitigate payment frauds. - Work with Payment Instrument and category leaders to assess and mitigate vulnerabilities in planned launches - Abstract requirements to create platform solutions that can have a multiplier impact across clients of the fraud and abuse platform - Collaborate with Global Identity and Account Integrity teams to influence and build upstream interventions to detect and prevent fraud and abuse - Lead automation initiatives to drive efficiency in investigation, fraud resolution and reporting - Deep dive and analyze key business performance metrics, identify gaps and define measurement frameworks to support actionable insights A successful candidate will be highly analytical, resourceful and customer-focused. They will have a proven track record in taking end-to-end ownership and successfully delivering results in a fast-paced and dynamic business environment. A day in the life You will start your day reviewing key metrics and fraud patterns from different regions. You might meet with machine learning teams to discuss new detection models, collaborate with engineering teams on security feature implementations, or present product roadmaps to senior leadership. You will analyze trends, make strategic decisions about risk thresholds, and work across teams to implement solutions that protect both customers and the business. About the team The Customer Trust team is central to Amazon Pays mission of becoming the most trusted payment experience globally. We are a diverse group of problem solvers who combine analytical thinking with customer obsession to build innovative security solutions. Our team works across multiple geographies and collaborates with various Amazon teams to protect millions of transactions daily. - 5+ years experience in building product with new and emerging technologies - 7+ years experience diving deep in data to understand the customer behavior including the ability to identify and solve ambiguous problems - Comfortable working with large sets of data; Experience with ML based decision making systems and data analytics tools such as Quicksight, Tableau - Excellent verbal and written communication skills with an innate understanding of presenting data to different levels of leadership and sections of the organization - Ability to operate multi-nationally with overseas business partners. Solid experience supporting key control projects/initiatives - Full Time MBA from Tier-I B-Schools - Demonstrated data-driven decision making and quantitative analysis skills (including deep knowledge of Excel, SQL, or statistics) - Machine Learning, Tableau or other broadly used analytics tool certifications - Relevant experience in managing e-commerce fraud and abuse

Skill required: Delivery - Sales Reporting Designation: I&F Decision Sci Practitioner Senior Mgr Qualifications: Any Graduation Years of Experience: 16 to 25 years About Accenture What would you do Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Song, Technology, Industry X and Operations services all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 800,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com.In todays business environment, growth isnt just about building value - it s fundamental to long-term business survival. So how do organizations sustain themselvesThe key is a new operating modelone that s anchored around the customer and propelled by intelligence to deliver outstanding experiences across the enterprise at speed and at scale. You will deliver breakthrough business outcomes for clientsby harnessing talent, data and intelligence to redefine their operating models.Within Operations, our Sales Operations Transformation team is rapidly expanding. We take a > What are we looking for Sales Data Reporting & Insights Sales Analytics & Insights Sales Functional Expertise:Deep understanding of end-to-end sales lifecycle processes including Sales Support, Pricing & Quoting, Bid & Proposal Management, Contract Lifecycle, Order Management, and Incentives. Analytical & Data-Driven Mindset:Strong skills in data analysis, business intelligence, and visualization using tools like Power BI, Tableau, or equivalent. Ability to generate actionable insights and drive decision-making. Stakeholder Management Consulting & Communication Skills Leadership & Team Development Innovative & Future-Focused Roles and Responsibilities: Lead the end-to-end delivery of AI, analytics, and visualization solutions across sales operations workstreams. Align team objectives with Sales Excellence and Sales Transformation strategy Drive solution design, data strategy, and execution across data science and BI tracks. Oversee solution scalability, reusability, and integration into business processes. Manage, mentor, and grow a high-performing team including L8/L9 Data Scientists and Power BI developers. Provide technical and functional guidance to team members. Conduct regular performance reviews, skill development sessions, and team health checks. Oversee capacity planning and work allocation. Collaborate with senior business leaders, sales stakeholders, and global teams to define problem statements, KPIs, and success metrics. Serve as the client-facing SME for all analytics and visualization needs in the sales domain. Ensure strong communication of findings, models, and visualizations through effective storytelling. Ensure high-quality delivery of data science models (predictive, diagnostic, prescriptive) and dashboards. Review and validate model outcomes, dashboards, and visual designs. Encourage adoption of best practices in code management, versioning, and model documentation. Ensure data quality, governance, and secure access across platforms. Qualification Any Graduation

AHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation. AtAHEAD, we prioritize creating a culture of belonging,where all perspectives and voices are represented, valued, respected, and heard. We create spaces to empower everyone to speak up, make change, and drive the culture at AHEAD. We are an equal opportunity employer,anddo not discriminatebased onan individual's race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, maritalstatus,or any other protected characteristic under applicable law, whether actual or perceived. We embraceall candidatesthatwillcontribute to the diversification and enrichment of ideas andperspectives atAHEAD. AHEAD is looking for a Sr. Data Engineer (L3 support) to work closely with our dynamic project teams (both on-site and remotely). This Data Engineer will be responsible for hands-on engineering of Data platforms that support our clients advanced analytics, data science, and other data engineering initiatives. This consultant will build and support modern data environments that reside in the public cloud or multi-cloud enterprise architectures. The Data Engineer will have responsibility for working on a variety of data projects. This includes orchestrating pipelines using modern Data Engineering tools/architectures as well as design and integration of existing transactional processing systems. The appropriate candidate must be a subject matter expert in managing data platforms. Responsibilities: A Sr. Data Engineer should be able to build, operationalize and monitor data processing systems Create robust and automated pipelines to ingest and process structured and unstructured data from various source systems into analytical platforms using batch and streaming mechanisms leveraging cloud native toolset Implement custom applications using tools such as EventHubs, ADF and other cloud native tools as required to address streaming use cases Engineers and maintain ELT processes for loading data lake (Cloud Storage, data lake gen2) Leverages the right tools for the right job to deliver testable, maintainable, and modern data solutions Respond to customer/team inquiries and escalations and assist in troubleshooting and resolving challenges Works with other scrum team members to estimate and deliver work inside of a sprint Research data questions, identifies root causes, and interacts closely with business users and technical resources Should possess ownership and leadership skills to collaborate effectively with Level 1 and Level 2 teams. Must have experience in raising tickets with Microsoft and engaging with them to address any service or tool outages in production. Qualifications: 7+ years of professional technical experience 5+ years of hands-on Data Architecture and Data Modelling SME level 5+ years of experience building highly scalable data solutions using Azure data factory, Spark, Databricks, Python 5+ years of experience working in cloud environments (AWS and/or Azure) 3+ years of programming languages such as Python, Spark and Spark SQL. Should have strong knowledge on architecture of ADF and Databricks. Able to work with Level1 and Level 2 teams to resolve platform outages in production environments. Strong client-facing communication and facilitation skills Strong sense of urgency, ability to set priorities and perform the job with little guidance Excellent written and verbal interpersonal skills and the ability to build and maintain collaborative and positive working relationships at all levels Strong interpersonal and communication skills (Written and oral) required Should be able to work in shifts Should have knowledge on azure Dev Ops process. Key Skills: Azure Data Factory, Azure Data bricks, Python, ETL/ELT, Spark, Data Lake, Data Engineering, EventHubs, Azure delta, Spark streaming Why AHEAD: Through our daily work and internal groups like Moving Women AHEAD and RISE AHEAD, we value and benefit from diversity of people, ideas, experience, and everything in between. We fuel growth by stacking our office with top-notch technologies in a multi-million-dollar lab, by encouraging cross department training and development, sponsoring certifications and credentials for continued learning. USA Employment Benefits include - Medical, Dental, and Vision Insurance - 401(k) - Paid company holidays - Paid time off - Paid parental and caregiver leave - Plus more! See benefits https://www.aheadbenefits.com/ for additional details. The compensation range indicated in this posting reflects the On-Target Earnings (OTE) for this role, which includes a base salary and any applicable target bonus amount. This OTE range may vary based on the candidates relevant experience, qualifications, and geographic location.

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it , our most valuable asset is our people. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage an d passion to drive life-changing impact to ZS. Our most valuable asset is our people . At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems—the ones that comprise us as individuals, shape who we are and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. ZS’s India Capability & Expertise Center (CEC) houses more than 60% of ZS people across three offices in New Delhi, Pune and Bengaluru. Our teams work with colleagues around the world to deliver real-world solutions to the clients who drive our business. The CEC maintains standards of analytical, operational and technologic excellence to deliver superior results to our clients. ZS’s Beyond Healthcare Analytics (BHCA) Team is shaping one of the key growth vectors for ZS. Beyond Healthcare engagements are comprised of clients from industries like Quick service restaurants, Technology, Food & Beverage, Hospitality, Travel, Insurance, Consumer Products Goods & other such industries across North America, Europe & South East Asia region. BHCA India team currently has presence across New Delhi, Pune and Bengaluru offices and is continuously expanding further at a great pace. BHCA India team works with colleagues across clients and geographies to create and deliver real world pragmatic solutions leveraging AI SaaS products & platforms, Generative AI applications, and other Advanced analytics solutions at scale. WhatYou’llDo Design and implement highly available data pipelines using spark and other big data technologies Work with data science team to develop new features to increase model accuracy and performance Create standardized data models to increase standardization across client deployments Troubleshooting and resolve issues in existing ETL pipelines. Complete proofs of concept to demonstrate capabilities and connect to new data sources Instill best practices for software development, ensure designs meet requirements, and deliver high-quality work on schedule. Document application changes and development updates. WhatYou’llBring A master’s or bachelor’s degree in computer science or related field from a top university. 4+ years' overall experience; 2+ years’ experience in data engineering using Apache Spark and SQL. 2+ years of experience in building and leading a strong data engineering team. Experience with full software lifecycle methodology, including coding standards, code reviews, source control management, build processes, testing, and operations. In-depth knowledge of python, sql, pyspark, distributed computing, analytical databases and other big data technologies. Strong knowledge of one or more cloud environments such as aws, gcp, and azure. Familiarity with the data science and machine learning development process Familiarity with orchestration tools such as Apache Airflow Strong analytical skills and the ability to develop processes and methodologies. Experience working with cross-functional teams, including UX, business (e.g. Marketing, Sales), product management and/or technology/IT/engineering) is a plus. Characteristics of a forward thinker and self-starter that thrives on new challenges and adapts quickly to learning new knowledge. Perks & Benefits ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To Complete Your Application Candidates must possess or be able to obtain work authorization for their intended country of employment.An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At www.zs.com

We are seeking a highly skilled Advanced Analytics Specialist to join our dynamic team. The successful candidate will be responsible for leveraging advanced analytics techniques to derive actionable insights, inform business decisions, and drive strategic initiatives. This role requires a deep understanding of data analysis, statistical modeling, machine learning, and data visualization. In this role, you will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. You will work closely with customers, product managers, and development teams to understand business requirements and design custom AI solutions that address complex challenges. Experience with tools like Github Copilot, Amazon Code Whisperer etc. is desirable. Success is our passion, and your accomplishments will reflect this, driving your career forward, propelling your team to success, and helping our clients to thrive. Day-to-Day Duties: Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Documentation and Knowledge SharingDocument solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members. Industry Trends and InnovationStay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Develop and implement advanced analytical models and algorithms to solve complex business problems, analyze large datasets to uncover trends, patterns, and insights that drive business performance. Collaborate with cross-functional teams to identify key business challenges and opportunities, Create and maintain data pipelines and workflows to ensure the accuracy and integrity of data, Design and deliver insightful reports and dashboards to communicate findings to stakeholders. Stay up to date with the latest advancements in analytics, machine learning, and data science. Provide technical expertise and mentorship to junior team members. QualificationsBachelor’s or master’s degree in data science, Statistics, Mathematics, Computer Science, or a related field. Proven experience in advanced analytics, data science, or a similar role. Proficiency in programming languages such as Python, R, or SQL. Experience with data visualization tools like Tableau, Power BI, or similar. Strong understanding of statistical modelling and machine learning algorithms. Excellent analytical, problem-solving, and critical thinking skills. Ability to communicate complex analytical concepts to non-technical stakeholders. Experience with big data technologies (e.g., Hadoop, Spark) is a plus Preferred technical and professional experience Familiarity with cloud-based analytics platforms (e.g., AWS, Azure). Knowledge of natural language processing (NLP) and deep learning techniques. Experience with project management and agile methodologies

Skill required : Delivery - Sales Reporting Designation : I&F Decision Sci Practitioner Manager Qualifications :Any Graduation Years of Experience :13 to 18 years The key is a new operating modelone that s anchored around the customer and propelled by intelligence to deliver outstanding experiences across the enterprise at speed and at scale. You will deliver breakthrough business outcomes for clientsby harnessing talent, data and intelligence to redefine their operating models. Within Operations, our Sales Operations Transformation team is rapidly expanding. We take a bold and modern approach to sales excellencecombining deep operational expertise, cutting-edge technology, and data-driven insights to optimize sales performance and empower go-to-market teams to succeed. As the Team Lead, and a key member of the Sales Operations Transformation - Sales Data, Reporting & Insights, you will head a cross-functional team of Data Scientists and Visualization experts working within the Sales Operations transformation space. The ideal candidate brings a strong background in advanced analytics, business intelligence, and sales domain knowledge, along with a proven track record in project delivery, stakeholder management, and team leadership. What are we looking for? Sales Data Reporting & Insights Sales Analytics & Insights Sales Functional Expertise: Deep understanding of end-to-end sales lifecycle processes including Sales Support, Pricing & Quoting, Bid & Proposal Management, Contract Lifecycle, Order Management, and Incentives. Analytical & Data-Driven Mindset: Strong skills in data analysis, business intelligence, and visualization using tools like Power BI, Tableau, or equivalent. Ability to generate actionable insights and drive decision-making. Stakeholder Management Consulting & Communication Skills Leadership & Team Development Innovative & Future-Focused Roles and Responsibilities: Lead the end-to-end delivery of AI, analytics, and visualization solutions across sales operations workstreams. Align team objectives with Sales Excellence and Sales Transformation strategy Drive solution design, data strategy, and execution across data science and BI tracks. Oversee solution scalability, reusability, and integration into business processes. Manage, mentor, and grow a high-performing team including L8/L9 Data Scientists and Power BI developers. Provide technical and functional guidance to team members. Conduct regular performance reviews, skill development sessions, and team health checks. Oversee capacity planning and work allocation. Collaborate with senior business leaders, sales stakeholders, and global teams to define problem statements, KPIs, and success metrics. Serve as the client-facing SME for all analytics and visualization needs in the sales domain. Ensure strong communication of findings, models, and visualizations through effective storytelling. Ensure high-quality delivery of data science models (predictive, diagnostic, prescriptive) and dashboards. Review and validate model outcomes, dashboards, and visual designs. Encourage adoption of best practices in code management, versioning, and model documentation. Ensure data quality, governance, and secure access across platforms.

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

Role: Data Analytics Min 5+ Years experience in Data Analytics Hands on experience in SQL, Python, Marketing Analytics Domain, Understanding on Story Telling, Insights Generation Shift: General Mode: Hybrid Location Bengaluru/ Mumbai Immediate Joiners Preferred Call Anumeha @ 6376649769 Send resume to anumeha@manningconsulting.in

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAP PO/PI & APIs Development Good to have skills : AAAP (Accenture Advanced Analytics Platform)Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will engage in the design, construction, and configuration of applications tailored to meet specific business processes and application requirements. Your typical day will involve collaborating with team members to understand project needs, developing innovative solutions, and ensuring that applications function seamlessly to support organizational goals. You will also participate in testing and troubleshooting to enhance application performance and user experience, contributing to the overall success of the projects you are involved in. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the documentation of application processes and workflows.- Engage in continuous learning to stay updated with the latest technologies and methodologies. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP PO/PI & APIs Development.- Good To Have Skills: Experience with AAAP (Accenture Advanced Analytics Platform).- Strong understanding of application integration techniques.- Experience in developing and deploying APIs for various applications.- Familiarity with troubleshooting and debugging application issues. Additional Information:- The candidate should have minimum 3 years of experience in SAP PO/PI & APIs Development.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

#LI-LP1 We are seeking a highly skilled and experienced Data Scientist Lead to leverage large datasets for identifying opportunities in product and process optimization. The ideal candidate will utilize models to evaluate the effectiveness of various strategies. This role requires a strong background in data mining, data analysis, data tools, model building and implementation, algorithm development, and simulation execution. A proven track record of driving business results through data-driven insights and the ability to collaborate effectively with diverse stakeholders and functional teams are essential. The successful candidate will be passionate about uncovering data-driven solutions and partnering with stakeholders to enhance business outcomes. Strong management and leadership abilities are a must. Your main duties in flying with us: Collaborate with stakeholders to define data science related business requirements. Identify and automate the collection of valuable data sources. Develop predictive models and machine learning algorithms. Analyze data to identify patterns and trends, translating them into actionable insights (e.g., through Tableau and presentations).Create advanced analytics models to address business needs. Recognize business needs and formulate hypotheses accordingly. Establish plans and monitor team performance. Develop , manage, and evaluate the team to achieve desired results. Build AI/ML models and the capability to improve and fine-tune AI/ML models. Mandatory belongings that you must prepare: Minimum of 8 years of experience as a Data Scientist, with at least 2 years in a leadership role. Bachelor s degree in Computer Science, Statistics, Mathematics, or a related quantitative field. Master and PhD s degree is preferred. Solid understanding of data science and machine learning principles, with demonstrated experience in solving data science challenges. Experience working with diverse data types, including image, NLP, and time series data. Experience with productionalize LLM and GenAI, adept in RAG, MCP and LLM fine tuning. Understanding of the data discovery process to generate business insights. Experience with Cloud Technology, preferably Google Cloud Platform. Proficiency in programming, preferably Python. Excellent communication and collaboration skills for working with cross-functional teams. Strong leadership skills. Creative , innovative, and possesses critical thinking abilities.

Skill required: Delivery - Data Analysis & Interpretation Designation: I&F Decision Sci Practitioner Sr Analyst Qualifications: Any Graduation Years of Experience: 5 to 8 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Song, Technology, Industry X and Operations services all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 800,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com.In todays business environment, growth isnt just about building value - it s fundamental to long-term business survival. So how do organizations sustain themselvesThe key is a new operating modelone that s anchored around the customer and propelled by intelligence to deliver outstanding experiences across the enterprise at speed and at scale. You will deliver breakthrough business outcomes for clientsby harnessing talent, data and intelligence to redefine their operating models. Within Operations, our Sales Operations Data Analytics, Reporting & Insights team is rapidly expanding. We take a bold and modern approach to sales excellencecombining deep operational expertise, cutting-edge technology, and data-driven insights to optimize sales performance and empower go-to-market teams to succeed.As a key member of the Sales Reporting team, you will lead a cross-functional team of Data Analytics, Visualization, and Data Modeling experts working within the Sales Operations space. The ideal candidate brings a strong background in business intelligence, reporting, visualization and advanced analytics in sales domain. The candidate will have a proven track record in project delivery, stakeholder management, and team leadership. The candidate will adeptly balance hands-on reporting and analytics tasks, and team management. What are we looking for Strong command over Power Query, Power Pivot, Power BI (or similar visualization platforms) and BI architecture for visual storytelling and dashboarding. Deep understanding of Python (Pandas, NumPy, etc) for automation, and data modeling. Hands-on experience with SQL, data management, data flows, and data modeling practices. Hands-on experience with Power Automate flows, Power Apps, Dataverse (or similar automation platforms). Proficiency in Microsoft Excel for data analysis and reporting. Strong background in Sales Operations, CRM data, and Sales Reporting. Proven experience in leading teams that deliver interactive dashboards, reporting automation and advanced data flows and modeling. Excellent stakeholder management and communication skills; working with global, cross-functional teams. Working knowledge of Machine Learning (ML), Natural Language Processing (NLP), and advanced technologies such as Artificial Intelligence (AI). Consulting & Communication Skills Roles and Responsibilities: Ensure high-quality delivery of reports, dashboards and data models. Ensure data quality, governance, and secure access across platforms Author, review and validate dashboards, visual designs, and model outcomes. Encourage adoption of best practices in code management, versioning, and documentation. Manage, and mentor a high-performing team of SQL, Python, Power Platform, Power BI (or similar platforms) developers, and Data Analytics practitioners. Proactively lead work allocation, delivery timelines, data quality, review metrics and KPIs. Manage multiple projects and tasks while maintaining high attention to detail Provide technical and functional guidance to team members. Conduct regular performance reviews, skill development sessions, and team health checks. Collaborate with senior business leaders, stakeholders and global teams to define problem statements, solutions, KPIs, and success metrics. Serve as the client-facing SME for all analytics and visualization needs in the sales domain. Strong communication of data analytics, and visualizations through effective storytelling. Ensure proactive communication of status, updates, asks, achievements, and challenges. Qualification Any Graduation

Skill required: Delivery - Sales Reporting Designation: I&F Decision Sci Practitioner Sr Analyst Qualifications: Any Graduation Years of Experience: 5 to 8 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Song, Technology, Industry X and Operations services all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 800,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com.In todays business environment, growth isnt just about building value - it s fundamental to long-term business survival. So how do organizations sustain themselvesThe key is a new operating modelone that s anchored around the customer and propelled by intelligence to deliver outstanding experiences across the enterprise at speed and at scale. You will deliver breakthrough business outcomes for clientsby harnessing talent, data and intelligence to redefine their operating models. Within Operations, our Sales Operations Data Analytics, Reporting & Insights team is rapidly expanding. We take a bold and modern approach to sales excellencecombining deep operational expertise, cutting-edge technology, and data-driven insights to optimize sales performance and empower go-to-market teams to succeed.As the Team Lead, and a key member of the Sales Reporting, you will lead a cross-functional team of Data Analytics, Visualization, and Data Modeling experts working within the Sales Operations space. The ideal candidate brings a strong background in business intelligence, reporting, visualization and advanced analytics in sales domain. The candidate will have a proven track record in project delivery, stakeholder management, and team leadership. The candidate will adeptly balance hands-on reporting and analytics tasks, and team management. What are we looking for Sales Operations Functional Expertise:Deep understanding of end-to-end sales lifecycle processes including Sales Support, Pricing & Quoting, Bid & Proposal Management, Contract Lifecycle, Order Management, and Incentives. Sales Transformation:Proven experience in leading or supporting large-scale sales operations transformation projectspreferably for external clientswith a focus on process standardization, consolidation, and operating model redesign. Sales Analytics & Insights Sales Reporting and Visualization:Strong skills in Sales, data analysis, business intelligence, and visualization. Ability to generate actionable insights and drive decision-making. Stakeholder Management Consulting & Communication Skills Leadership & Team Development Innovative & Future-Focused Roles and Responsibilities: Ensure high-quality delivery of reports, dashboards and data models. Ensure data quality, governance, and secure access across platforms Author, review and validate dashboards, visual designs, and model outcomes. Encourage adoption of best practices in code management, versioning, and documentation. Manage, and mentor a high-performing team of SQL, Python, Power Platform, Power BI (or similar platforms) developers, and Data Analytics practitioners. Proactively lead work allocation, delivery timelines, data quality, review metrics and KPIs. Manage multiple projects and tasks while maintaining high attention to detail Provide technical and functional guidance to team members. Conduct regular performance reviews, skill development sessions, and team health checks. Collaborate with senior business leaders, stakeholders and global teams to define problem statements, solutions, KPIs, and success metrics. Serve as the client-facing SME for all analytics and visualization needs in the sales domain. Strong communication of data analytics, and visualizations through effective storytelling. Ensure proactive communication of status, updates, asks, achievements, and challenges. Qualification Any Graduation

Skill required: Delivery - Sales Reporting Designation: I&F Decision Sci Practitioner Assoc Mgr Qualifications: Any Graduation Years of Experience: 10 to 14 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Song, Technology, Industry X and Operations services all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 800,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com.In todays business environment, growth isnt just about building value - it s fundamental to long-term business survival. So how do organizations sustain themselvesThe key is a new operating modelone that s anchored around the customer and propelled by intelligence to deliver outstanding experiences across the enterprise at speed and at scale. You will deliver breakthrough business outcomes for clientsby harnessing talent, data and intelligence to redefine their operating models. Within Operations, our Sales Operations Data Analytics, Reporting & Insights team is rapidly expanding. We take a bold and modern approach to sales excellencecombining deep operational expertise, cutting-edge technology, and data-driven insights to optimize sales performance and empower go-to-market teams to succeed.As the Team Lead, and a key member of the Sales Reporting, you will lead a cross-functional team of Data Analytics, Visualization, and Data Modeling experts working within the Sales Operations space. The ideal candidate brings a strong background in business intelligence, reporting, visualization and advanced analytics in sales domain. The candidate will have a proven track record in project delivery, stakeholder management, and team leadership. The candidate will adeptly balance hands-on reporting and analytics tasks, and team management. What are we looking for Sales Operations Functional Expertise:Deep understanding of end-to-end sales lifecycle processes including Sales Support, Pricing & Quoting, Bid & Proposal Management, Contract Lifecycle, Order Management, and Incentives. Sales Transformation:Proven experience in leading or supporting large-scale sales operations transformation projectspreferably for external clientswith a focus on process standardization, consolidation, and operating model redesign. Sales Analytics & Insights Sales Reporting and Visualization:Strong skills in Sales, data analysis, business intelligence, and visualization. Ability to generate actionable insights and drive decision-making. Stakeholder Management Consulting & Communication Skills Leadership & Team Development Innovative & Future-Focused Roles and Responsibilities: Ensure high-quality delivery of reports, dashboards and data models. Ensure data quality, governance, and secure access across platforms Author, review and validate dashboards, visual designs, and model outcomes. Encourage adoption of best practices in code management, versioning, and documentation. Manage, and mentor a high-performing team of SQL, Python, Power Platform, Power BI (or similar platforms) developers, and Data Analytics practitioners. Proactively lead work allocation, delivery timelines, data quality, review metrics and KPIs. Manage multiple projects and tasks while maintaining high attention to detail Provide technical and functional guidance to team members. Conduct regular performance reviews, skill development sessions, and team health checks. Collaborate with senior business leaders, stakeholders and global teams to define problem statements, solutions, KPIs, and success metrics. Serve as the client-facing SME for all analytics and visualization needs in the sales domain. Strong communication of data analytics, and visualizations through effective storytelling. Ensure proactive communication of status, updates, asks, achievements, and challenges. Qualification Any Graduation

Skill required: Delivery - Sales Reporting Designation: I&F Decision Sci Practitioner Analyst Qualifications: Any Graduation Years of Experience: 3 to 5 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Song, Technology, Industry X and Operations services all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 800,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com.In todays business environment, growth isnt just about building value - it s fundamental to long-term business survival. So how do organizations sustain themselvesThe key is a new operating modelone that s anchored around the customer and propelled by intelligence to deliver outstanding experiences across the enterprise at speed and at scale. You will deliver breakthrough business outcomes for clientsby harnessing talent, data and intelligence to redefine their operating models. Within Operations, our Sales Operations Data Analytics, Reporting & Insights team is rapidly expanding. We take a bold and modern approach to sales excellencecombining deep operational expertise, cutting-edge technology, and data-driven insights to optimize sales performance and empower go-to-market teams to succeed.As a key member of the Sales Reporting, you will lead a cross-functional team of Data Analytics, Visualization, and Data Modeling experts working within the Sales Operations space. The ideal candidate brings a strong background in business intelligence, reporting, visualization and advanced analytics in sales domain. The candidate will have a proven track record in project delivery, stakeholder management, and team leadership. The candidate will adeptly balance hands-on reporting and analytics tasks, and team management. What are we looking for Sales Operations Functional Expertise:Deep understanding of end-to-end sales lifecycle processes including Sales Support, Pricing & Quoting, Bid & Proposal Management, Contract Lifecycle, Order Management, and Incentives. Sales Transformation:Proven experience in leading or supporting large-scale sales operations transformation projectspreferably for external clientswith a focus on process standardization, consolidation, and operating model redesign. Sales Analytics & Insights Sales Reporting and Visualization:Strong skills in Sales, data analysis, business intelligence, and visualization. Ability to generate actionable insights and drive decision-making. Stakeholder Management Consulting & Communication Skills Ability to work well in a team Innovative & Future-Focused Roles and Responsibilities: Ensure high-quality delivery of reports, dashboards and data models. Ensure data quality, governance, and secure access across platforms Author, review and validate dashboards, visual designs, and model outcomes. Encourage adoption of best practices in code management, versioning, and documentation. Manage, and mentor a high-performing team of SQL, Python, Power Platform, Power BI (or similar platforms) developers, and Data Analytics practitioners. Proactively lead work allocation, delivery timelines, data quality, review metrics and KPIs. Manage multiple projects and tasks while maintaining high attention to detail Provide technical and functional guidance to team members. Conduct regular performance reviews, skill development sessions, and team health checks. Collaborate with senior business leaders, stakeholders and global teams to define problem statements, solutions, KPIs, and success metrics. Serve as the client-facing SME for all analytics and visualization needs in the sales domain. Strong communication of data analytics, and visualizations through effective storytelling. Ensure proactive communication of status, updates, asks, achievements, and challenges. Qualification Any Graduation