Entity:- Accenture Strategy & Consulting Team:- Global Network Data & AI Practice:- S&C GN AI - Insurance Title:- Ind & Func AI Decision Science Manager Job location:- Bengaluru, Gurugram About S&C - Global Network:- Accenture Global Network Insurance Data & AI Practice helps our clients grow their business in entirely new ways. From strategy to execution, Accenture works with Property & Casualty insurers, Life & Retirement insurers, reinsurers and brokers across the value chain from Underwriting to Claims to Servicing and Enterprise Functions to develop analytic capabilities from accessing and reporting on data to predictive modelling to Generative AI that outperform the competition. We offer deep technical expertise in AI/ML tools, techniques & methods, along with strong strategy & consulting acumen and insurance domain knowledge. Our unique assets & accelerators coupled with diverse insurance insights and capabilities help us bring exceptional value to our clients. WHAT'S IN IT FOR YOU? Accenture Global Network is a unified powerhouse that combines the capabilities of Strategy & Consulting with the force multipliers of Data and Artificial Intelligence. It is central to Accentures future growth and Accenture is deeply invested in providing individuals with continuous opportunities for learning and growth. You'll be part of a diverse, vibrant, global community, continually pushing the boundaries of business capabilities. Accenture is also ranked 10th* on the 2023 Worlds Best Workplaces list, making it a great place to work.What you would do in this role Complete understanding of the current state of affairs in machine learning and AI Interacting with clients on regular basis, understanding their requirements and transforming that into business framework and providing advanced analytics solutions Manage a team of data scientist and data engineers Provide regular coaching to team on team management and advanced analytical concepts " Excellent written and verbal communication skills Qualifications Who we are looking for?Bachelors degree in economics, mathematics, computer science/engineering, operations research or related analytics areas;MBA from the top tier academic institutionsMinimum 7years of experience in Advanced Analytics with 4+ experience in Insurance domainExperience in working in dual shore engagement and must have experience in managing clients directlyAbility to work in new business development such as assessing pain areas for our clients, generating solutions for clientsSolution oriented mindset ability to work in diverse areas and create market leading solutionsManagerial experience in leading analytics teams including career management of offshore staff, training, recruitingSuperior analytical and problem solving skills

Entity:- Accenture Strategy & Consulting Team:- Global Network Data & AI Practice:- S&C GN AI - Insurance Title:- Ind & Func AI Decision Science Manager Job location:- Bengaluru, Gurugram About S&C - Global Network:- Accenture Global Network Insurance Data & AI Practice helps our clients grow their business in entirely new ways. From strategy to execution, Accenture works with Property & Casualty insurers, Life & Retirement insurers, reinsurers and brokers across the value chain from Underwriting to Claims to Servicing and Enterprise Functions to develop analytic capabilities from accessing and reporting on data to predictive modelling to Generative AI that outperform the competition. We offer deep technical expertise in AI/ML tools, techniques & methods, along with strong strategy & consulting acumen and insurance domain knowledge. Our unique assets & accelerators coupled with diverse insurance insights and capabilities help us bring exceptional value to our clients. WHAT'S IN IT FOR YOU? Accenture Global Network is a unified powerhouse that combines the capabilities of Strategy & Consulting with the force multipliers of Data and Artificial Intelligence. It is central to Accentures future growth and Accenture is deeply invested in providing individuals with continuous opportunities for learning and growth. You'll be part of a diverse, vibrant, global community, continually pushing the boundaries of business capabilities. Accenture is also ranked 10th* on the 2023 Worlds Best Workplaces list, making it a great place to work.What you would do in this role Complete understanding of the current state of affairs in machine learning and AI Interacting with clients on regular basis, understanding their requirements and transforming that into business framework and providing advanced analytics solutions Manage a team of data scientist and data engineers Provide regular coaching to team on team management and advanced analytical concepts " Excellent written and verbal communication skills Qualifications Who we are looking for?Bachelors degree in economics, mathematics, computer science/engineering, operations research or related analytics areas;MBA from the top tier academic institutionsMinimum 7years of experience in Advanced Analytics with 4+ experience in Insurance domainExperience in working in dual shore engagement and must have experience in managing clients directlyAbility to work in new business development such as assessing pain areas for our clients, generating solutions for clientsSolution oriented mindset ability to work in diverse areas and create market leading solutionsManagerial experience in leading analytics teams including career management of offshore staff, training, recruitingSuperior analytical and problem solving skills

Entity:- Accenture Strategy & Consulting Team:- Global Network – Data & AI Practice:- Resources Title:- Data Science Associate Director Job Location Bangalore/Gurgaon/Mumbai About S&C - Global Network :- Accenture Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading AI/ML/Statistical tools, methods and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically-informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. What you would do in this role The ideal candidate shall be, Excellent communication and interpersonal skills, with the ability to effectively engage with clients and stakeholders at all levels Strategic mindset, with the ability to drive business growth and identify new opportunities Responsible to solution architect, design, build, deploy, deliver, and monitor advanced analytics models for different client problems. Interface with clients/account team to understand engineering/business problems and translate it into analytics problems that shall deliver insights for action and operational improvements. Take initiatives and collaborate with different Accenture internal teams and support driving sales. Collaborate with different cross-functional teams, including technology, engineering, Strategy and account teams, to identify the new use cases. Provide innovation and thought leadership support to build key capability areas such as tools & technology, new solutions in supply chain planning and assets & accelerators development. Manage and mentor high-performing team of data analysts to work on large scale datasets, cloud platforms, IoT, and other similar large datasets. Qualifications Who we are looking for? Qualifications and Experience Bachelors/Master’s degree in Mathematics, Statistics, Computer Science, Computer Engineering, or related field 15+ year(s) experience as a Data Science with a focus on cloud services. Solid foundation of Statistical Modeling, Machine Learning algorithms and Experimental design. Expert knowledge of experimental test design and ability to inform business strategy based on statistical findings. Experience in Utilities, Energy, Chemical and Natural Resources experience is preferred. Understanding of programming languages such as Python, PySpark, SQL, or Scala. Implement MLOps practices to streamline the machine learning lifecycle, including model versioning, deployment, and monitoring. Solid understanding of data integration, data modeling, and data warehousing concepts. Strong analytical and problem-solving skills, with the ability to analyze complex data requirements and propose innovative solutions. Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders. Relevant certifications in Azure Data Services or cloud data engineering are highly desirable.

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : BTech or Equivalent Min 15 years of education Summary :As an AI Advisor, you will be responsible for driving business outcomes for clients through analytics using Databricks Unified Data Analytics Platform. Your typical day will involve supporting delivery leads, account management, and operational excellence teams to deliver client value through analytics and industry best practices. Roles & Responsibilities: Lead the development and deployment of advanced analytics solutions using Databricks Unified Data Analytics Platform. Conduct detailed analysis of complex data sets, employing statistical methodologies and data munging techniques for actionable insights. Collaborate with cross-functional teams, applying expertise in diverse analytics techniques, including experience in implementing various algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. Communicate technical findings effectively to stakeholders, utilizing data visualization tools for clarity. Stay updated with the latest advancements in analytics and data science, integrating innovative approaches for sustained competitive advantage. Professional & Technical Skills: Must To Have Skills:Experience with Databricks Unified Data Analytics Platform. Strong understanding of statistical analysis and machine learning algorithms. Experience with data visualization tools. Experience in implementing various analytics techniques such as linear regression, logistic regression, decision trees, and clustering algorithms. Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: The candidate should have a minimum of 7.5 years of experience in Databricks Unified Data Analytics Platform. The ideal candidate will possess a strong educational background in statistics, mathematics, computer science, or a related field, along with a proven track record of delivering impactful data-driven solutions. This position is based at our Bengaluru office. Qualifications BTech or Equivalent Min 15 years of education

Join our Payments Analytics Team for a rewarding opportunity to advance your career in data-driven decision-making. As a Quant Analytics Sr Associate within the Payments Analytics Team, you will leverage data to formulate quantifiable goals, influence business decisions, and develop strategies in collaboration with multiple stakeholders. You play a key role in developing KPIs, creating dashboards, and performing analyses to improve business function performance. Job Responsibilities Synthesize data from various sources to identify trends and patterns that enhance customer experience. Collaborate with business partners to identify opportunities for operational and efficiency improvements. Utilize advanced data discovery and mining tools to uncover relationships and trends. Convert data into actionable insights using data visualization tools. Extract data using SQL, Python, R, etc. Work with business partners to evaluate needs, develop solutions, and implement them within budget and control requirements. Required Qualifications, Capabilities, and Skills Bachelors degree in a quantitative, analytical, or related field. 8 years of experience in an advanced analytics role with excellent written and verbal communication skills. Strong SQL knowledge, including complex queries and stored procedures. Experience with relational databases and query optimization. Ability to define metrics, evaluate results, and recommend improvements. Critical and analytical thinking with a data-oriented mindset. Proficiency in advanced data visualization and presentation development. Preferred Qualifications, Capabilities, and Skills Advanced analytics experience with tools like SSRS, Power BI. Functional industry experience in product, marketing, credit/risk, or finance.

Our Purpose Title and Summary Manager - Product Management-Technical Overview: Mastercard is a technology company in the Global Payments Industry. We operate the world s fastest payments processing network, connecting consumers, financial institutions, merchants, governments and businesses in more than 210 countries and territories. Mastercard products and solutions make everyday commerce activities - such as shopping, travelling, running a business and managing finances - easier, more secure and more efficient for everyone. Enterprise Data Accessibility (EDA) program of Data & Analytics department under Services Org, looking for Manager in Software Engineering to lead, mentor and coach software engineering teams to build, enhance and deliver internal or market-facing Product, and Platforms. Someone who combines deep technical experience with great people management skills and can help elevate our teams and our approach to engineering. We are seeking a highly motivated and experienced Lead Product Manager - Technical to drive innovation and execution within the Enterprise Data Accessibility - Data Serving & Conveyance Engineering team. This role will be responsible for shaping the product strategy, defining the roadmap, and leading cross-functional teams to deliver scalable data solutions. The ideal candidate will have a strong technical background, experience with data platforms, and a passion for enabling enterprise-wide data accessibility. Responsibilities: Define and execute the product strategy and roadmap for data accessibility, serving, and conveyance solutions. Collaborate with engineering, data science, and business teams to develop scalable and high-performance data products. Work closely with internal clients to understand data access needs and translate them into technical requirements. Support the POs to define user stories that capture the functional requirements identified to meet the agreed solution and take responsibility for accepting user stories on build completion on behalf of the PMT team. Drive the development of APIs, microservices architecture, Hybrid multi-cloud data pipelines, BI solutions, SQL and Big Data technologies to enhance data availability and usability. Ensure compliance with data governance, security, and privacy regulations. Leverage AI/ML and advanced analytics to improve data accessibility and decision-making processes. Monitor product performance, gather feedback, and iterate to improve product effectiveness. Stay ahead of industry trends and emerging technologies to drive continuous innovation within the data domain. All about you The ideal candidate for this position should: - Demonstrate the ability to complete technical systems analysis and solutioning. - Solid business analysis skills and knowledge are essential, i.e. the ability to take high level requirements and drill these down into detailed functional requirements under your own initiative - Demonstrate the ability to collaboratively design solutions that both enhance the product offering, and work within the design principles. - Comfortable working at a detailed level with interface specifications & doing related data mappings to and from APIs, data pipeline and other data serving and conveyance solutions - Solid documentation skills, with the ability to define, review and evaluate requirements and identify technical/functional solutions. - Ability to work collaboratively with development and business stakeholders within an Agile team. - Able to communicate effectively with both business & technical audiences. - Payments experience is a plus but not essential. - Empowerment and accountability, demonstrating independent thinking and a collaboration mindset - Committed to deliver on time and to quality. - Willingness to learn and get stuck in.

Join us as a Data Quality Analyst, Customer & Reference Data Management Join us as part of our exciting new Arago 2.0 Programme, established to support the bank in achieving our ambition to return to green on Data Risk by end of 2026 Us ing advanced analytics, translation , and visualisation skills , you ll identify suitable data and analytics solutions to meet the needs of our stakeholders Working closely with, and leading business partners, you ll define detailed, often complex and ambiguous business issues or opportunities, and ensure new and existing processes are designed to be efficient, simple, and automated where possible Were offering this role at vice president level What youll do Arago 2.0 is structured across a number of key capabilities and workstreams to mitigate data risk, such as Data Management Maturity which will establish maturity across our data quality issue management strategy, Integrated Data Management Platform that will develop a single platform that enables improved and secure data access, Data Control by Design will deliver an uplift in data architecture and data management standards integrated into a single pane of glass view of our control environment and BCBS239 will deliver an uplifted BC B S 239 framework with clear next best actions to improve compliance. Using strong consultancy skills, you ll develop a thorough understanding of the needs of business stakeholders and identify suitable data and analytics solutions while supporting our business strategy. In doing so, you ll ensure data is sourced from approved Golden Sources, is used appropriately, and is fit for purpose. You ll drive and embed advanced analytics across your team to develop business solutions which increase understanding of the wider business covering customers, processes, channels, and products. You ll bring advanced analytics to life through visualisation, telling powerful stories and influencing important decisions. You ll also work in an agile way within multi-disciplinary data and analytics teams, leading, coaching, and coordinating resources to plan and deliver strategic agreed project and scrum outcomes. In addition to this, you ll : Articulate data and analytics opportunities and bring them to life in a way that business stakeholders can understand and engage with Look for ways to promote data literacy education, and lead and coach colleagues to foster a supportive team culture Adopt and embed new tools, technologies, and methodologies to carry out advanced analytics as part of agile and traditional project teams Partner with colleagues who specialise in data science, data engineering, and decisioning where necessary to meet agreed outcomes Champion data management, actively identifying , understanding, and sharing any data quality issues Maintain and develop external data and analytics knowledge, keeping up to date with emerging trends and tooling, and sharing updates The skills youll need To succeed in this role, you ll need knowledge of data architecture, key tooling, and relevant coding languages along with experience in translating data and insights for key stakeholders. You ll have the ability to simplify data into clear data visualisations and compelling insight using appropriate key systems and tooling . You ll also have broad knowledge of data management practices and principles . Furthermore, you ll demonstrate : Good coaching and leadership experience with the ability to support and motivate colleagues Proficient in advanced analytics An understanding of data engineering, data science, and decisioning disciplines Financial services knowledge with the ability to identify , and act upon, wider business impact, risks, and opportunities and make connections across key outputs and processes Strong communication skills with the ability to engage with a wide range of stakeholders

The Global Servicing (GS) organization delivers extraordinary customer care to Card Members, merchants and commercial clients around the world, while providing world-class credit, collections and fraud services. The GS Servicing Insights & MIS team (part of Global Servicing Enablement, GSE) is the primary point of contact for all GS information needs and is responsible for Executive Decision Support through advanced analytics and MIS. The team has a global footprint and this position will be based out of the American Express Service Center in Gurgaon, India Purpose of the Role: MIS and Analytics to support GS Responsibilities : Providing Analytical & Decision Support across GS through advanced analytics (from sourcing to staging data, generating insights to exposing them for consumption via reporting platforms/strategy implementation) Enabling business user self-service through creation of MIS capabilities Systematically identify out of pattern activities in a timely manner and address information gaps by providing insightful analytics Working independently assuming responsibility for the development, validation and implementation of projects Participate on global teams evaluating processes and making suggestions for process and system improvements Interacting with all levels of the organization across multiple time zones. Critical Factors to Success: Ensure timely and accurate MIS based on customer requirements Centrally manage MIS and key operational metrics and address functional data needs across operations and support teams Provide analytical and decision support framework and address information gaps through insightful analytics and developing lead indicators Build collaborative relationships across GS groups and participate on global teams evaluating processes and making suggestions for process and system improvements Put enterprise thinking first, connect the role s agenda to enterprise priorities and balance the needs of customers, partners, colleagues & shareholders Past Experience: Preferably a minimum 4 years experience with at least 2 years in Quantitative Business Analysis/Data Science with experience in handling large data sets Benefits Competitive base salaries Bonus incentives Support for financial-we'll-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site we'llness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities

Who you areA senior Data Scientist specializing in Advanced Analytics, with expertise in machine learning (ML), predictive modeling, and statistical analysis. Sound experience in leveraging Big-data technologies, AI, and automation to solve complex business problems and enhance decision-making. Have experience working with Cloudera Data Platform, Apache Spark, Kafka, and Iceberg tables, and you understand how to design and deploy scalable AI/ML models. Your role will be instrumental in data modernization efforts, applying AI-driven insights to enhance efficiency, optimize operations, and mitigate risks.What you’ll doAs a Data Scientist – Advanced Analytics, your responsibilities include: AI & Machine Learning Model Development Developing AI/ML models for predictive analytics, fraud detection, and customer segmentation. Implementing time-series forecasting, anomaly detection, and optimization models. Working with deep learning (DL) and Natural Language Processing (NLP) for AI-driven automation. Big Data & Scalable AI Pipelines Processing and analyzing large datasets using Apache Spark, PySpark, and Iceberg tables. Deploying real-time models and streaming analytics with Kafka. Supporting AI model training and deployment on Cloudera Machine Learning (CML). Advanced Analytics & Business Impact Performing exploratory data analysis (EDA) and statistical modelling. Delivering AI-driven insights to improve business decision-making. Supporting data quality and governance initiatives using Talend DQ. Data Governance & Security Ensuring AI models comply with Bank’s data governance and security policies. Implementing AI-driven anomaly detection and metadata management. Utilizing Thales CipherTrust for data encryption and compliance. Collaboration & Thought Leadership Working closely with data engineers, analysts, and business teams to integrate AI-driven solutions. Presenting AI insights and recommendations to stakeholders and leadership teams. Contributing to the development of best practices for AI and analytics. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 3-7 years of experience in AI, ML, and Advanced Analytics. Proficiency in Python, R, SQL, and ML frameworks (Scikit-learn, TensorFlow, PyTorch). Hands-on experience with Big-data technologies (Cloudera, Apache Spark, Kafka, Iceberg table format). Strong knowledge of statistical modelling, optimization, and feature engineering. Understanding of MLOps practices and AI model deployment. Preferred technical and professional experience Develop and implement advanced analytics models, including predictive, prescriptive, and diagnostic analytics to solve business challenges and optimize decision-making processes. Utilize tools and technologies to work with Large and complex datasets to derive analytical solutions. Build and deploy machine learning models (supervised and unsupervised), statistical models, and data-driven algorithms for forecasting, segmentation, classification, and anomaly detection. Should have strong hands-on experience in Python, Spark and cloud computing. Should be independently working and be able to deploy deep learning models using various architectures. Should be able to perform exploratory data analysis (EDA) to uncover trends, relationships, and outliers in large, complex datasets. Design and create features that improve model accuracy and business relevance. Should create insightful visualizations and dashboards that communicate findings to stakeholders. Effectively translate complex data insights into clear and actionable recommendations. Work closely with business leaders, engineers, and analysts to understand business requirements and translate them into analytical solutions that address strategic goals. Exposure to Graph AI using DGraph Enterprise. Knowledge of cloud-based AI platforms (AWS SageMaker, Azure ML, GCP Vertex AI).

Who you areA senior Data Scientist specializing in Advanced Analytics, with expertise in machine learning (ML), predictive modeling, and statistical analysis. Sound experience in leveraging Big-data technologies, AI, and automation to solve complex business problems and enhance decision-making. Have experience working with Cloudera Data Platform, Apache Spark, Kafka, and Iceberg tables, and you understand how to design and deploy scalable AI/ML models. Your role will be instrumental in data modernization efforts, applying AI-driven insights to enhance efficiency, optimize operations, and mitigate risks.What you’ll doAs a Data Scientist – Advanced Analytics, your responsibilities include: AI & Machine Learning Model Development Developing AI/ML models for predictive analytics, fraud detection, and customer segmentation. Implementing time-series forecasting, anomaly detection, and optimization models. Working with deep learning (DL) and Natural Language Processing (NLP) for AI-driven automation. Big Data & Scalable AI Pipelines Processing and analyzing large datasets using Apache Spark, PySpark, and Iceberg tables. Deploying real-time models and streaming analytics with Kafka. Supporting AI model training and deployment on Cloudera Machine Learning (CML). Advanced Analytics & Business Impact Performing exploratory data analysis (EDA) and statistical modelling. Delivering AI-driven insights to improve business decision-making. Supporting data quality and governance initiatives using Talend DQ. Data Governance & Security Ensuring AI models comply with Bank’s data governance and security policies. Implementing AI-driven anomaly detection and metadata management. Utilizing Thales CipherTrust for data encryption and compliance. Collaboration & Thought Leadership Working closely with data engineers, analysts, and business teams to integrate AI-driven solutions. Presenting AI insights and recommendations to stakeholders and leadership teams. Contributing to the development of best practices for AI and analytics. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 6-10 years of experience in AI, ML, and Advanced Analytics. Strong programming skills in Python, R, and SQL. Expertise in ML frameworks (TensorFlow, PyTorch, Scikit-learn). Experience with big data platforms (Cloudera, Apache Spark, Kafka, Iceberg). Strong background in statistical modelling, optimization, and time-series forecasting. Experience with MLOps and model deployment on cloud platforms. Preferred technical and professional experience Should have over 10 Yrs of experience in developing and maintaining the advanced analytics as a data scientist. Develop and implement advanced analytics models, including predictive, prescriptive, and diagnostic analytics to solve business challenges and optimize decision-making processes. Utilize tools and technologies to work with Large and complex datasets to derive analytical solutions. Build and deploy machine learning models (supervised and unsupervised), statistical models, and data-driven algorithms for forecasting, segmentation, classification, and anomaly detection. Should have strong hands-on experience in Python, Spark and cloud computing. Should be independently working and be able to deploy deep learning models using various architectures. Should be able to perform exploratory data analysis (EDA) to uncover trends, relationships, and outliers in large, complex datasets. Design and create features that improve model accuracy and business relevance. Should create insightful visualizations and dashboards that communicate findings to stakeholders. Effectively translate complex data insights into clear and actionable recommendations. To design, review and recommend the ML algorithms and provide a suitable solution for the business need. Work closely with business leaders, engineers, and analysts to understand business requirements and translate them into analytical solutions that address strategic goals. Experience in working with Banking Data model by implementing any analytical solution. Exposure to Graph AI using DGraph.

Job Title : GN- SC&O - S&P -Spend Analytics- Data Visualization- BI - Consultant Management Level :09 – Consultant Location :Gurgaon Must have skills :Spend Analytics, Data Visualization Good to have skills :BI Tools (Power BI, Tableau) Job Summary As a key member of the analytics team, you will work closely with consulting teams to understand and address clients business challenges. Utilizing advanced analytics tools, you will systematically analyze data to derive actionable insights that drive strategic decisions. Your deep knowledge of supply chain data, paired with a strong business acumen, will enable you to solve complex problems in this domain. You will typically lead junior analytics team members to own delivery on their assignments. Roles & Responsibilities Lead end-to-end product development of spend analytics and procurement automation solutions. A bachelor's degree in engineering, Computer Applications, Mathematics, or a related field from a Tier 1 university. 4-5 years of experience in Business Intelligence (BI) projects, specifically as a Qlik Sense, Tableau, or Power BI Developer. Proven ability to build, maintain, and enhance Qlik data visualizations that help drive business insights. Experience transitioning PowerPoint wireframes and Excel reports into interactive Qlik Sense dashboards. Excellent attention to details, high output accuracy and out-of-box thinking to bring in innovative approaches to problems/issues in data processing. Proficiency in MS Excel, MS PowerPoint, and MS Access, with the ability to handle complex data sets and present findings effectively. Professional & Technical Skills Good at technical troubleshooting, monitoring, and reporting activities. Prior experience in data / spend analysis. Good spoken and written English communication skills - should be able to participate in global team calls. Excellent spoken and written English communication skills, enabling seamless participation in global team calls and client discussions. A quick learner who thrives in a fast-paced, team-oriented environment. Additional experience in Power BI / Tableau and SQL Coding will be preferred. About Our Company | Accenture Qualification Experience :5+ years of experience Educational Qualification :BE, BTech, MBA

Join us as a Data Quality Analyst, Customer & Reference Data Management Join us as part of our exciting new Arago 2.0 Programme, established to support the bank in achieving our ambition to return to green on Data Risk by end of 2026 Us ing advanced analytics, translation , and visualisation skills , you ll identify suitable data and analytics solutions to meet the needs of our stakeholders Working closely with, and leading business partners, you ll define detailed, often complex and ambiguous business issues or opportunities, and ensure new and existing processes are designed to be efficient, simple, and automated where possible Were offering this role at vice president level What youll do Arago 2.0 is structured across a number of key capabilities and workstreams to mitigate data risk, such as Data Management Maturity which will establish maturity across our data quality issue management strategy, Integrated Data Management Platform that will develop a single platform that enables improved and secure data access, Data Control by Design will deliver an uplift in data architecture and data management standards integrated into a single pane of glass view of our control environment and BCBS239 will deliver an uplifted BC B S 239 framework with clear next best actions to improve compliance. Using strong consultancy skills, you ll develop a thorough understanding of the needs of business stakeholders and identify suitable data and analytics solutions while supporting our business strategy. In doing so, you ll ensure data is sourced from approved Golden Sources, is used appropriately, and is fit for purpose. You ll drive and embed advanced analytics across your team to develop business solutions which increase understanding of the wider business covering customers, processes, channels, and products. You ll bring advanced analytics to life through visualisation, telling powerful stories and influencing important decisions. You ll also work in an agile way within multi-disciplinary data and analytics teams, leading, coaching, and coordinating resources to plan and deliver strategic agreed project and scrum outcomes. In addition to this, you ll : Articulate data and analytics opportunities and bring them to life in a way that business stakeholders can understand and engage with Look for ways to promote data literacy education, and lead and coach colleagues to foster a supportive team culture Adopt and embed new tools, technologies, and methodologies to carry out advanced analytics as part of agile and traditional project teams Partner with colleagues who specialise in data science, data engineering, and decisioning where necessary to meet agreed outcomes Champion data management, actively identifying , understanding, and sharing any data quality issues Maintain and develop external data and analytics knowledge, keeping up to date with emerging trends and tooling, and sharing updates The skills youll need To succeed in this role, you ll need knowledge of data architecture, key tooling, and relevant coding languages along with experience in translating data and insights for key stakeholders. You ll have the ability to simplify data into clear data visualisations and compelling insight using appropriate key systems and tooling . You ll also have broad knowledge of data management practices and principles . Furthermore, you ll demonstrate : Good coaching and leadership experience with the ability to support and motivate colleagues Proficient in advanced analytics An understanding of data engineering, data science, and decisioning disciplines Financial services knowledge with the ability to identify , and act upon, wider business impact, risks, and opportunities and make connections across key outputs and processes Strong communication skills with the ability to engage with a wide range of stakeholders Hours 45 Job Posting Closing Date: 23/05/2025

At McCormick, we bring our passion for flavor to work each day. We encourage growth, respect everyones contributions and do whats right for our business, our people, our communities and our planet. Join us on our quest to make every meal and moment better. Founded in Baltimore, MD in 1889 in a room and a cellar by 25-year-old Willoughby McCormick with three employees, McCormick is a global leader in flavour. With over 14,000 employees around the world and more than $6 Billion in annual sales, the Company manufactures, markets, and distributes spices, seasoning mixes, condiments and other flavourful products to the entire food industry, retail outlets, food manufactures, food service businesses and consumers. While our global headquarters are in the Baltimore, Maryland, USA area, McCormick operates and serves customers from nearly 60 locations in 25 countries and 170 markets in Asia-Pacific, China, Europe, Middle East and Africa, and the Americas. At McCormick, we have over a 100-year legacy based on our Power of People principle. This principle fosters an unusually dedicated workforce requiring a culture of respect, recognition, inclusion and collaboration based on the highest ethical values. Position Overview Reporting to the AI, Automation and Data Science Manager, the AI / ML / Data Scientist is responsible for utilizing advanced analytics, machine learning, and automation techniques to extract actionable insights from diverse datasets. The incumbent should have a robust understanding of key AI / ML concepts and combine their expertise in data, computational science, and technology with MKC consumer-oriented business knowledge. Ultimately will drive high-value insights into the organization and steer strategic growth initiatives. Key Responsibilities Mine and analyze data from enterprise databases by applying statistics, machine learning, and analytic approaches to drive optimization and operational improvements. Collaborate with functions, functional solution leads, and strategic solution build teams to deploy scalable AI/ML-infused applications. Choose appropriate algorithms based on the nature of the problem, data structure, and desired outcomes. Train ML models using historical data and assess their performance against predefined metrics. Continuously optimize and fine-tune models for improved accuracy and efficiency. Required Qualifications & Experience Bachelors in Supply Chain, Computer Science, Data, Finance or relevant field. Automation Tools and Frameworks Programming, Testing and QA Data Analytics Technical knowledge for Data environments, transformation, models and queries Partnering across different regions and functions Interpersonal Skills Strong communication and diplomacy skills Strong analytical decision-making and direction-setting Experience working with regions and different culture McCormick & Company is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, colour, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law. WHY WORK AT MCCORMICK United by flavor. Driven by results. As a McCormick employee you ll be empowered to focus on more than your individual responsibilities. You ll have the opportunity to be part of something bigger than yourself to have a say in where the company is going and how it s growing. Between our passion for flavor, our 130-year history of leadership and integrity, the competitive and comprehensive benefits we offer, and our culture, which is built on respect and opportunities for growth, there are many reasons to join us at McCormick.

5+ years of DS and AI/ML project implementation experience in one of the cloud environments (AWS/Azure/GCP). Advanced / intermediate level certification is a plus Hands-on experience in data handling using SQL and advanced analytics tools such as Python Hands on Experience in analyzing and visualizing data using tools such as Tableau, PowerBI Experience in scoping, development, validation & deployment of explanatory, predictive, and prescriptive analytic solutions Experience in stakeholder management, driving project governance, and linking analytics to business value delivered Knowledge of Deep Learning models and its applications in Natural Language Processing (NLP), AI/GenAI and Computer Vision(CV) in solving business problems

Familiarity Role & responsibilities Leadership & Strategy Lead and manage a team of data scientists, analysts, and data architects. Define and drive the enterprise analytics strategy aligned with business goals. Collaborate with executive leadership to identify data-driven growth opportunities. Data Architecture & Modeling Design and implement robust, scalable, and high-performance data models (OLAP/OLTP, dimensional, relational, NoSQL). Develop enterprise data architecture standards, policies, and best practices. Oversee data governance, data quality, and metadata management initiatives. Advanced Analytics & Insights Build advanced analytics solutions including predictive modeling, statistical analysis, and machine learning frameworks. Translate complex data into actionable insights for stakeholders across departments. Evaluate and implement modern BI tools and platforms (e.g., Power BI, Tableau, Looker). Collaboration & Integration Partner with data engineering teams to ensure efficient ETL/ELT pipelines and data lake/warehouse infrastructure. Work closely with business units to understand needs and deliver customized data solutions. Support data privacy, security, and compliance initiatives (e.g., GDPR, HIPAA, SOC 2). Preferred candidate profile Experience with AI/ML model deployment in production. Familiarity with data mesh, data fabric, or modern data stack concepts. Knowledge of industry-specific data standards (e.g., HL7 for healthcare, ACORD for insurance).

Role & responsibilities 5+ years Hands on in Python and data science like tools pandas, NumPy, SciPy, matplotlib and strong exposure in regular expressions. 5+ years Hands on experience in Machine learning algorithms like SVM, CART, Bagging and Boosting algorithms, NLP based ML algorithms and Text mining. Hands on expertise to integrate multiple data sources in a streamlined pipeline. Strong knowledge in OOPs and creating custom python packages for serverless applications. Takes responsibility and ownership for work assignments, tasks and timelines. Functions as a "hands on" manager, engaging in the work with the team to stay relevant, current, as back-up and aware of the needs of the team. Provides transfer of knowledge to team members and support in learning. Demonstrates excellent written and verbal communication skills, strong analytical skills, and attention to detail. Strong Knowledge in SQL querying. Hands on experience in AWS services like Lambda, EC2, EMR, S3 and Athena, Batch, Textract and Comprehend. Strong Expertise in extracting text, tables, logos from low quality scanned multipage pdfs (80 - 150 dpi) and Images. Good Understanding in Probability and Statistics concepts and ability to find hidden patterns, relevant insights from the data. Expertise in Image Processing tools like OpenCV, scikit-image etc. Knowledge in Training NLP based Machine Learning and Deep Learning models to enhance and validate the text extraction process from Images and PDFs. Inquisitive thinking, passion to consistently learn and implement latest technologies and ability to manage multiple projects. Preferred candidate profile Balance team and individual responsibilities. Build analytic systems and predictive models. Build customer focused Next Best Action, Attribution & Segmentation models. Build, lead and orchestrate the global data science community. Coach, guide and direct teams of internal and vendor resources. Co-create with business / market / functions or IT platforms on requirements. Communicate complex analytical findings and implications to business leaders. Conduct and lead meetings and workshops to explain findings. Contribute to building a positive team spirit. Create alternative model approaches to assess complex model design and advance future capabilities. Design and build data set processes for modeling, data mining, and production purposes. Design and develop customized interactive reports and dashboards in Tableau. Design and develop machine learning / artificial intelligence (ML / AI) algorithms. Design and evaluate novel scalable approaches to experimentation. Design and implement prototypes using Python and Java programming language. Determine best format to execute ideas. Determine new ways to improve data and search quality, and predictive capabilities. Good to Have Knowledge in applying state of art NLP models like BERT, GPT - x, sciSpacy, Bidirectional LSTMs-CNN, RNN, AWS medical Comprehend for Clinical Named Entity Recognition (NER). Strong Leadership Skills. Deployment of custom trained and prebuilt NER models using AWS Sagemaker. Knowledge in setting up AWS Textract pipeline for large scale text processing using AWS SNS, AWS SQS, Lambda and EC2. Should have Intellectual curiosity to learn new things. ISMS responsibilities should be followed as per company policy.

Salary: 25 to 40 LPA Exp: 7 to 11 years Location: Bangalore/Gurgaon Notice: Immediate only..!! Key Skills: SQL, Advance SQL, BI tools, ETL etc Roles and Responsibilities Extract, manipulate, and analyze large datasets from various sources such as Hive, SQL databases, and BI tools. Develop and maintain dashboards using Tableau to provide insights on banking performance, market trends, and customer behavior. Collaborate with cross-functional teams to identify key performance indicators (KPIs) and develop data visualizations to drive business decisions. Desired Candidate Profile 6-10 years of experience in Data Analytics or related field with expertise in Banking Analytics, Business Intelligence, Campaign Analytics, Marketing Analytics, etc. . Strong proficiency in tools like Tableau for data visualization; Advance SQL knowledge preferred. Experience working with big data technologies like Hadoop ecosystem (Hive), Spark; familiarity with Python programming language required.

Job Descrption: Need US Healthcare Domain. Design, develop, and maintain scalable and efficient ETL pipelines using PySpark and SQL . Implement data models and data warehouses on Snowflake for advanced analytics and reporting. Perform data integration from various sources including APIs, flat files, databases, and cloud platforms. Ensure data quality, integrity, and reliability across all data platforms. Monitor and optimize data pipeline performance, identify bottlenecks, and troubleshoot issues. Collaborate with cross-functional teams to gather requirements and deliver data solutions. Document technical processes, workflows, and data flow diagrams.

Salary: 15 to 30 LPA Exp: 3 to 8 years Location: Bangalore/Gurgaon/Pune Notice: Immediate only..!! Key Skills: SAS, Advance SQL, Credit Risk Roles and Responsibilities Extract, manipulate, and analyze large datasets from various sources such as Hive, SQL databases, and ETL processes. Develop and maintain dashboards using Tableau to provide insights on banking performance, market trends, and customer behavior. Collaborate with cross-functional teams to identify key performance indicators (KPIs) and develop data visualizations to drive business decisions. Desired Candidate Profile 3-8 years of experience in Data Analytics or related field with expertise in Banking Analytics, Credit risk . Strong proficiency in tools like SAS, Advance SQL knowledge preferred. Experience working with big data technologies like Hadoop ecosystem (Hive), Spark; familiarity with Python programming language required.

This role is for a director who will work across cross functional teams as Data & Engineering, Regional Product, Business Development, Client Delivery & Governance to deliver truly differentiated products. The role is positioned to drive new ideas forward by combining creative thought leadership with innovation and industry best practices. This role will report into Vice President of Global Product Management for Financial Institutions. The successful candidate s primary responsibilities will be to: - Develop and maintain the product roadmap, KPIs, financial impact for analytics products for Financial Institutions (Beyond issuing) - Lead all key activities to drive the roadmap execution linking it to a quantifiable product scorecard, monitoring and optimization of performance - Own the end-to-end Product Management cycle for the development of product components, go-to-market plans including revenue generation - Actively engage in new innovation initiatives, data resources and capability assessment with a futuristic lens - Provide oversight and product engagement for launch, in-market testing and global rollouts. - Lead the development and implementation of key features and solutions including framework design (utilizing studio process), modelling constructs, governance requisites, customer experience and client support - Prioritize, partner and engage with Engineering and Program management teams to support existing product enhancements and new product launches managing stakeholders and business sponsors - Adapt and drive development of product enhancements continuously to customer needs, market trends, and competitive opportunities - Bring voice-of-the-customer metrics to life in a way that will inspire and drive change - Support the derivation and effectively communicate strategy and vision up and down the organization All About You - Customer centric: strong focus on delivering customer value and experienced in building strong customer relationships - Demonstrate drive for result and a desire to succeed, follow through commitments and push self and others to deliver exceptional results - Be a successful team player with strong experience in Product management/development utilizing data and building self-service user experiences - Collaborate with internal cross-functional teams to drive alignment on product roadmap, built, testing and commercialization - Prepare product specific (and occasionally program-wide) presentations for internal partners, executives and customers - Own and drive product roadmap and continuously monitor KPIs Skills & experience - Product development and management experience required; - Payment industry experience for acquiring and other financial institutions preferred especially strong experience with analytical solutions. Account to account and/or treasury experience a bonus - Previous experience in Agile product management, particularly with analytical products and business intelligence solutions - Analytical, solutions-oriented mindset, with a knack for driving execution and progress - Proven track record of collaborating effectively in cross-functional teams to deliver exceptional products and features and deriving product go-to-market. - Knowledge and skills using product management tools, (e.g. market and product plans, project timelines, marketing research, pricing, business case development) - Great organizational skills, capable of managing multiple priorities and competing tasks efficiently - Strong communication and influencing abilities, enabling effective collaboration with internal and external stakeholders - Strategic mind set to solve complex and ambiguous problems - Excellent communication, collaboration and leadership skills.

Key Skills: Advanced Analytics, Power BI, MySQL, Tableau, MSExcel, Excel Roles and Responsibilities: Demand Planning: Responsible to run the weekly demand planning and monitoring of forecast accuracy Collaborate with cross functional teams (Growth/Category) to understand demand forecast drivers; Ensure demand plan optimization in line with Customer & Product Category strategy Include causal factors (weather, natural disasters, competitor actions etc) and model events (sales promotions, marketing events etc.) into demand forecasts Develop demand forecasts at multiple levels of aggregation for multiple time horizons, across multiple regions Release of final demand plans by incorporating all inputs as per agreed timelines Supply/Replenishment Planning: Manage the entire replenishment process Ensure timely release of POs to all vendors across all cities Manage buying quantities - ensuring optimal order quantities by considering inventory norms, stock on hand, forecast and vendor constraints Collaborate with category team to ensure high levels of supply reliability (OTIF) Inventory Management: Manage inventory health - availability and ageing Define and manage Inventory Norms at a Region X SKU level Maintain desired inventory levels at each of the regions Monitor and plan for liquidation of ageing/slow moving SKUs Collaborate with City Teams and Operations to ensure accuracy of stock levels Skills Required: 2-4 years of relevant experience in an inventory management role in FMCG/Retail/Q-Com/E-Com Solid understanding of inventory management practices and procedures Rational decision-making, negotiating and influencing skills with an analytical work style Excellent inter-personal and communication skills The ability to thrive in a fast-paced environment Education: MBA/B.Tech from Tier-1 or Tier-2 institutes

About The Role : Job TitleIT Application Owner, AS LocationPune, India Role Description Deutsche Banks Strategy & Innovation Engineering team identifies, evaluates, and incubates cutting-edge technical innovation. It is part of the Chief Strategy Office of the banks Technology, Data & Innovation (TDI) function and works globally with all business lines and infrastructure functions of the bank. A focus of the team is to create value for clients and the bank using Artificial Intelligence, Large Language Models (LLM) and other advanced data-driven technologies. As a ITAO, you will be joining the innovation engineering team and contribute to the supporting and managing of new AI products and services for the entire Deutsche Bank Group. We require technical specialists to help research, design, and implement state of the art AI services, with particular focus on performing technology evaluations of AI products. You will make a real difference for senior stakeholders across core banking functions where computational, complexity and efficiency challenges abound through your own delivery and through the promotion of modern AI development best practices and techniques. Overview We are seeking a talented and experienced AI Engineer to join our team. The ideal candidate will be hands-on and drive design, development, and implementation of AI based solutions for CB Tech. This role involves working with large datasets, conducting experiments, and staying updated with the latest advancements in AI and Machine Learning. This person is expected to innovate and support the Innovation teams Tech efforts in modernizing the engineering landscape by identifying AI use cases and provide local support by owning ITAO role of AI Platform of Bank. If you are carrying engineering mindset, have a passion for AI and want to be part of developing innovative products then apply today. What we'll offer you As part of our flexible scheme, here are just some of the benefits that youll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities The IT Application owner (ITAO) is responsible for the Application Management and has to ensure that the applications are enhanced and maintained in accordance to the Banks IT Policy requirements on the application lifecycle governance. Design, develop, and deploy solutions using Advanced Analytics, Machine Learning / AI and cloud technologies that fulfil Deutsche Bank's Innovation Strategy Contribute to effective and efficient technical research and experiments, through technology evaluations, publishing AI research reports, and building proof-of-concept (POCs) Engage with business stakeholders to identify and evaluate opportunities to create value through innovative solutions Foster adoption of AI and ML by collaborating with cross-functional teams and educating stakeholders on AI driven solutions Stay up-to-date with the latest advancements in AI and Data Science Ongoing enhancement and maintenance of the application including management of scope. Ensuring that the changes to the applications in scope are fully aligned DB standards and regulations. The main focus is to guarantee the system stability and to ensure a smooth and successful transition to production, steady-state environment. Conducting strategic planning for the application. Managing strategic capacity, consumption and performance management (Forecast and management based on business plans). Ensuring policy-compliance for the application. Facilitating and contributing to the audit activities. Managing software licenses, security certificates and contracts with service providers. Ensuring documentation availability. Identifying and managing technical projects necessary to ensure required and established service levels are maintained. Working with development center team to estimate work effort throughout different phases of the functional domain deliverables. Assisting with development of configuration/monitoring/packaging/deployment/automations of AI Platforms. Identifying, documenting and communicating risks and issues discovered during delivery cycle. Your skills and experience Excellent communication and presentation skills, highly organized and disciplined. Experienced in working with multiple stakeholders. Ability to create and naturally maintain good business relationships with all stakeholders. IT Service Management, IT Governance or IT Project Management background. ITAO, TISO roles awareness, Compliance, Risk and Governance concepts with respect to financial industry. Comfortable working in VUCA (Volatility Uncertainty Complexity Ambiguity) and highly dynamic environments. ITAO will typically have a rather limited technical hands on involvement. A high-level understanding on the products/technologies below is welcomed: Google Cloud GKE, Terraform, IAM, BigQuery, Cloud Shell, Cloud Storage AI/ML AI Agents, AI concepts, ML models, AI/ML Concepts, ,Vertex AI, AutoML, BigQuery ML. MLOps & CICD Pipelines, Kubeflow, Vertex AI pipelines Proficiency in Designing, deploying and managing AI agents e..g chatbots, virtual assistants GCP Networking, Networking protocols, Security concepts, VPC, Load balancers Unix servers very basic administration Python, Shell Scripting, SQL Familiarity with fine-tuning and deploying large language models on GCP. Understanding of security best practices, including data governance, encryption, and compliance with AI-related regulations. GCP - Cloud Logging, Cloud Monitoring and AI Model Performance Tracking. 6+ years of work experience in IT; (for AVP 6+, Associate 4+) Strong problem-solving skills and a passion for AI research Good inter-personal skills with ability to co-operate and collaborate together with other teams Educational Qualifications B.E. / B. Tech. / Master's degree in computer science or equivalent Added advantage. GCP Certifications Kubernetes Certifications AI/Ml Educational background or Certifications or higher qualifications How we'll support you Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs

Data Scientist Req number: R5301 Employment type: Full time Worksite flexibility: Remote Who we are CAI is a global technology services firm with over 8,500 associates worldwide and a yearly revenue of $1 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right—whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise. Job Summary We are seeking Data Scientist with expertise in analytical modeling, ML methodologies, and data visualization to elevate our data-driven culture and deliver actionable insights that optimize business performance. The candidate must have proven success in coalescing, analyzing, synthesizing and contextualizing complex data sets (qualitative and quantitative) to deliver metrics, insights, advanced machine learning / AI analytics, with actionable recommendations that have a direct impact on business strategy and inform customer experience decisions. This is a Full-time and Remote position. Job Description What You’ll Do Understand current state architecture, including pain points. Translate Business/Customer Problems: Partner with the Customer Understanding Manager to translate business/customer challenges into data-driven hypotheses, insights, and recommendations that optimize marketing and sales performance. Insight Generation: Demonstrated experience proactively identifying and generating insights to enhance business and marketing performance, moving beyond descriptive analysis to inform strategic decisions. Storytelling with Data: Strong data analytics, visualization, and storytelling skills along with great attention to details. Modeling & Advanced Analytics: Develop and manage customer health programs, leveraging predictive analytics and machine learning models to assess customer engagement, churn risk, and growth potential. Quantify Impact of Marketing Initiatives: Perform deep-dive statistical analysis to quantify the impact of marketing initiatives on business KPIs, including revenue growth, retention rates, and customer lifetime value. Develop NPS Analysis: Support development of NPS (Net Promoter Score) analysis. Identify relevant data from internal and external sources to align NPS score to operational, financial, and experience metrics. Design and Maintain Automated Dashboards: Design and maintain automated dashboards and self-service analytics tools using Salesforce, Tableau, and Power BI to support real-time decision-making. Apply AI/ML methodologies: Utilize AL/ML techniques such as predictive modeling, clustering, key driver analysis, and NLP to uncover customer trends and improve engagement strategies. Promote Insight-Informed and Data-Driven Culture: Develop regular reports, executive briefs, and blogs to reveal market, industry, and customer trends, fostering an insight-informed and data-driven culture within the company. Develop Scorecards and Performance Dashboards: Lead the creation of scorecards and performance dashboards, ensuring marketing and sales teams have the insights needed to optimize decision-making. Drive Innovation in Data Strategy: Stay updated on evolving AI/ML methodologies, automation frameworks, and analytics best practices to drive innovation in data strategy. Experimental Design & Statistical Modeling (hierarchical linear models, regression analysis, hypothesis testing, significance testing). AI/ML Expertise (GenAI, NLP, tree-based models, deep learning, ModelOps/MLOps best practices, reinforcement learning). Data Engineering & Processing (structured/unstructured data manipulation, building ETL pipelines, Python libraries: pandas, scikit-learn, statsmodels, etc.). Data Storytelling & Visualization (Tableau, Power BI, Salesforce, Plotly, Adobe Analytics, etc.). Automated Analytics & Cloud Computing (AWS, GCP, Azure, Databricks, Snowflake, BigQuery). Strong time management and organizational skills with the ability to prioritize and execute projects independently. What You'll Need Bachelor’s degree in quantitative discipline: computer science, Statistics, Applied Mathematics, Economics, or a related field . 5-7 years of experience in advanced analytics, data science, or marketing intelligence , preferably in B2B or manufacturing industries. 4+ years Tableau experience. 4+ years of SQL development skills writing queries, transforming data, mining structured and unstructured data. Strong expertise in SQL, Python, and statistical modeling , with experience in building scalable data pipelines . Proficiency in data visualization and self-service analytics tools (Tableau, Power BI, Salesforce Analytics, etc.). Hands-on experience with AI/ML frameworks, NLP, and MLOps best practices Proven ability to synthesize complex data sets into strategic business insights that drive measurable outcomes . Strong communication skills, with the ability to translate complex technical findings into actionable business recommendations . Expert at hypothesis generation , creating data-driven business questions and experimental design techniques. Agile project management skills with the ability to manage multiple priorities and deliver high-impact results . Passion for continuous learning, research, and innovation in data analytics and AI. Physical Demands This role involves mostly sedentary work, with occasional movement around the office to attend meetings, etc. Ability to perform repetitive tasks on a computer, using a mouse, keyboard, and monitor. Reasonable accommodation statement If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to application.accommodations@cai.io or (888) 824 – 8111.

About the role We are seeking a highly skilled and experienced Data Architect to join our team. The ideal candidate will have at least 1 2 years of experience in s oftware & data engineering and a nalytics and a proven track record of designing and implementing complex data solutions. Y ou will be expected to design, create, deploy, and manage Blackbauds 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 youll be doing Develop and direct the strategy for all aspects of Blackbauds 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 we want you to have: 1 0 + years of experience in data and advanced analytics At least 8 years of experience working on data technologies in Azure/AWS Experience building modern products and infrastructure Experience working with .Net /Java and Microservice Architecture 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. Able to work flexible hours as required by business priorities ? Ability to deliver software that meets consistent standards of quality, security and operability. Stay up to date on everything Blackbaud, follow us on , , , and 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.

About The Role Technical Skills Expertise in SQL coding Hands-on experience using Microsoft SQL Servers, Visual Studio, SQL Server Analysis Services (SSAS), SQL Server Integration Services (SSIS), Experience writing Stored Procedures Architect level experience leveraging Azure StoragesADLS Gen2-Blobs, Containers, Architect level experience leveraging Azure Data Ingestion toolsAzure Data Factory (ADF), Azure Event Hubs, Azure IoT Hubs, Azure Event Grid Architect level experience using Azure Data Prep/Train toolsAzure Databricks (ADB), Azure Stream Analytics, Developer experience using Azure DatabasesSQL databases, SQL servers, Azure Synapse Analytics, Azure SQL, Dedicated SQL Pools, SQL Elastic Pools, etc., Experience using Azure DevOpsRepos, CI/CD Pipelines, Test Plans, Strong experience with NoSQL implementation (Mongo, Cassandra, Cosmos) Hands-on experience using Big Data technologies likesSpark, PySpark, Apache NiFi, RServer Studio, Alteryx, Azure Machine Learning, Kubernetes, Apache Kafka, Strong experience in scripting languages (Perl, JavaScript, Shell) Well versed in Programming languages like Python, Scala, R, Java, SQL, etc., Experience with UNIX/Linux including basic commands and shell scripting Experience with any of the following message / file formatsParquet, Avro, ORC Protobuf Experience with version control systems like Git Strong experience building BI reports, data visualizations using Microsoft Power BI Qualifications Master's or Bachelor's Degree with coursework focused on Data & Analytics, Data Science, Data Engineering, advanced algorithms, mathematics in computing, data structures, etc. Minimum 10 years of experience in the IT function Minimum 7 years of experience working on Data and Analytics projects Minimum 5 years of experience working on Advanced Analytics projects leveraging Artificial Intelligence and Machine Learning concepts Minimum 5 years of experience working on Cloud Platforms (Azure, AWS, Google Cloud Platform etc.) and any Cloud certifications (e.g. Azure Data Engineer Associate Certification) preferred Minimum 3 years of experience working on Data projects in an Agile environment and good to have any Agile (SAFe, ACP, CSM, CSPO, etc.) certifications Good to have previous Convenience Store/Petroleum industry experience Good to have previous Marketing, Loyalty, Digital Guest Experience Business domain knowledge