442 Advanced Analytics Jobs - Page 3

Director - Portfolio Operations Delivery What you will do Let’s do this. Let’s change the world. In this vital role the Director, Portfolio Effectiveness and Optimization Results Delivery within the Customer Data & Analytics team is accountable for coordinating our delivery efforts across the internal and external team located in AIN and across India. In addition, the Director must manage relationships across a complex internal set of teams and functional groups. This position reports to the Associate Vice President, Portfolio Effectiveness and Optimization and will be responsible for the following Responsibilities Key IntegratorAct as main point of contact and representative of the Portfolio Effectiveness and Optimization team in India Talent DevelopmentHire, train, develop, and manage talent to meet organizational needs Global CollaborationAct as the primary point of contact for PE&O senior leadership in the US and the offshore team in India, either through our Contract teams or direct AIN FTEs Operational Excellence and DeliveryOversee end-to-end delivery of core data and analytics projects ensuring quality, scalability, and operational efficiency, while promoting standard processes in data governance and analytics methodologies Offshore Vendor ManagementManage offshore teams including CWs, maintaining quality of service and timely deliverables Innovation LeadershipFoster a culture of innovation, ensuring the India team remains at the forefront of emerging technologies and trends in analytics, AI Business Impact & Collaborator ManagementEnsure analytics solutions drive tangible business outcomes and collaborate with global key collaborators to refine requirements, measure impact, and report progress Financial managementOversee PE&O budget associated with offshore work in India, ensuring best negotiated rates and overall value What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Doctorate degree and 4 years of statistics, operations research, mathematics, econometrics, business administration or a quantitative field experience OR Master’s degree and 14 to 16 years of statistics, operations research, mathematics, econometrics, business administration or a quantitative field experience OR Bachelor’s degree and 16 to 18 years of statistics, operations research, mathematics, econometrics, business administration or a quantitative field experience Managerial experience, directly handling people and/or leadership experience leading teams, projects, programs or directing the allocation of resources Preferred Qualifications: Relevant data science certifications and Bio/Pharmaceutical industry experience 8+ years of innovative Data Science/Advanced Analytics leadership experience Experience in AI, Machine Learning, quantitative methods, multivariate statistics, predictive modelling and other analytics frameworks/techniques with 10+ years of experience delivering complex analytical projects Minimum 5 years of professional experience in Amazon Web ServicesRedShift, S3, Athena, etc. and industry standard Data Warehousing technologiesSnowflake, Spark, Airflow, etc. Advanced proficiency and hands on coding experience in Python/R/Scala/Java or any other Object-Oriented Programming language; ETL using SQL/shell scripting Experience in successfully completing AI/ML based Next Best Action recommendation engine to optimize against desired objective function(s) Expertise in setting up and measuring randomized controlled trials, cohort studies, and matched, case-control studies Comprehensive understanding of the components of setting up data models and running scenario planning that match the business need Experience in setting up process for data ingestion, Quality Checks etc. Thorough understanding of tagging, Google Analytics, CRM, Content Management Systems, and other components of a Digital Marketing Ecosystem. Leadership experience in building and developing dedication teams, delivering results, and shaping the future Ability to foster and encourage an environment of openness and transparency in seeking diverse opinions and empower risk-taking in idea generation, idea incubation and/or experimentation The ideal candidate will lead the creation of an analytics-driven culture that drives top-line growth, controls costs, and takes timely corrective action to reduce risks that derail plans Ability to think strategically about issues impacting an entire portfolio of therapeutics across geographies and stages of development Experience managing multiple senior key collaborators, prioritizing across a multitude of responsibilities and allocating resources to drive maximum impact Partners with business leaders to deliver high-quality predictions that guide strategic decision making Oral, written and presentation skills to explain complex concepts and controversial findings clearly to a variety of audiences, including senior management Comfortable challenging the status quo and bringing forward innovative solutions Ability to identify areas for process and systems innovation and implement change that will enhance the overall effectiveness of the team Comfortable working through and leading large-scale global change management Understanding of technology platforms and ability to partner with IS/IT and business leaders What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now and make a lasting impact with the Amgen team. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

PepsiCo -Sales Operations

The role The Data Scientist is a vital role within the Blenheim Chalcot portfolio and Oakbrook. Role is a professional who uses data to solve problems, uncover patterns, and help organizations make better decisions. You will gain hands-on experience in a fast-paced and progressive environment, where you will support us in building our next generation of GenAI enabled tech businesses. Key responsibilities and duties Develop and deploy machine learning models to support credit risk and business strategy. Refresh and maintain production models, ensuring performance and stability. Build dashboards and reports to monitor key performance Present model insights and recommendations at Credit Committees and stakeholder meetings. Drive continuous improvement of modelling approaches and feature engineering pipelines. Support ad-hoc analysis and investigations related to credit performance . About you The ideal candidate will have a track-record in delivering results in a fast-moving business and hence be comfortable with change and uncertainty. Excellent stakeholder management experience is essential to being successful in this role. Qualifications, technical and or professional experience Previous experience using a programming language with a willingness to learn SQL and R Experience with producing reports in Power BI Experience with model building and development would be advantageous About Blenheim Chalcot Blenheim Chalcot is one of the leading venture builders in the world. We have been building exciting and disruptive businesses for over 26 years across sectors including FinTech, EdTech, GovTech, Media, Sport, Charity and more. These companies are all GenAI enabled and are some of the most innovative companies in the UK and increasingly around the world. The BC team in India has been instrumental to the growth and success of Blenheim Chalcot. Established in 2014, Blenheim Chalcot India serves as a pivotal launchpad for those aiming to make a difference in the realm of innovation and entrepreneurship. Blenheim Chalcot India is driven by a mission to empower visionaries to lead, innovate, and build disruptive solutions. We support our diverse portfolio of ventures and create impactful solutions that shape global trends. We provide a range of services to help new business get off the ground, including technology, growth (marketing and sales), talent, HR, finance, legal and tax, plus so much more! One of our [insert sector e.g. FinTech or MarTech] ventures, [insert venture name], is scaling fast and we re looking to hire high energy, motivated and curious talent to support them on that journey! About Oakbrook Founded in 2011, Oakbrook has united experts in consumer lending, advanced analytics, and innovative technology, all driven by the belief that consumer lending can be more personalized and customer centric. The collective mission across our three companies is to simplify and tailor the borrowing experience. By leveraging cutting-edge technology, data, and analytics, we provide fairer access to credit that reflects each customer s unique circumstances, moving beyond outdated models that rely on averages and backward-looking assessments. Our goal is to create a more inclusive, individualized approach to lending. What we can offer you Be part of the World s Leading Digital Venture Builder Have the opportunity to be a part of and learn from the incredible diverse talent in BC Be exposed to the right mix of challenges, within a culture that promotes continuous learning and development and opportunity to work with Gen AI A fun and open, if a little cricket obsessed, atmosphere - we own the Rajasthan Royals IPL team! 24 days of annual leave &10 public holiday days Private Medical for you and your immediate family & Life Insurance for yourself Important

Accounts Lead / Lead Data Scientist (Job Order 277) Current Available Openings Position Details: Accounts Lead / Lead Data Scientist (Job Order 277) Description: Job Title: Lead Data Scientist Reports To: CEO Job Summary: We are seeking a highly skilled and experienced Data Scientist with 6+ years of hands-on experience in data science, analytics, and stakeholder engagement. The ideal candidate should have strong expertise in Python , Tableau , Snowflake , Machine Learning, Statistical testing and should be comfortable driving business insights through storytelling and daily interactions with stakeholders. Key Responsibilities: Design, build, and deploy scalable machine learning models to solve complex business problems Write and optimise complex SQL queries, particularly on the Snowflake platform Develop insightful dashboards and visualisations using Tableau Conduct data exploration, cleaning, and transformation using Python & R and relevant libraries (Pandas, NumPy, Scikit-learn, etc.) Perform A/B testing & other statistical techniques Translate analytical insights into clear, compelling stories and recommendations for stakeholders Collaborate cross-functionally with product, engineering, and business teams to understand data needs and deliver solutions Present findings and recommendations to both technical and non-technical stakeholders regularly Requirements: 6+ years of professional experience in data science or advanced analytics Strong proficiency in Python for data manipulation, analysis, and modelling Proven experience in building dashboards and reports using Tableau Expertise in writing complex SQL queries , especially on Snowflake Solid understanding of machine learning techniques, statistical tests and model deployment best practices Excellent communication and storytelling skills to convey data-driven insights Comfortable working closely with stakeholders daily to gather requirements and present findings

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 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.

Design, build, and maintain scalable and reliable data pipelines for the ingestion, transformation, and delivery of large datasets. Collaborate with analytics and business teams to understand data requirements and deliver actionable datasets. Develop and optimize ETL processes using modern data engineering tools and frameworks (e.g., Apache Airflow, Spark, SQL). Ensure data quality, integrity, and security across all stages of the data lifecycle. Implement and monitor data solutions on cloud platforms (AWS, GCP, or Azure). Troubleshoot and resolve data pipeline and infrastructure issues with a focus on continuous improvement. Build and maintain data models, warehouses, and marts to support advanced analytics and reporting. Document data architecture, workflows, and processes for internal teams. Work closely with Data Scientists and Analysts to enable advanced analytics and machine learning initiatives. Stay updated with industry trends and best practices in data engineering and analytics.

Target As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values diverse voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. About the Team Supply Chain Network Optimization (SCNO) is a global team and part of Integrated Operations Planning & Network steering within Global Supply Chain and Logistics. We are at the forefront of defining and enabling an efficient, reliable and best in class supply chain. This team uses a wide variety of engineering and advanced applied mathematical techniques (5Why s, ML, AI, OR, MILP, DES,) techniques to study and solve niche problems in supply chain across the entire value chain (Purchasing, transportation, Multi echelon inventory, last mile and process optimization) to enable the best guest experience and profitable growth for Target. About the Role As a Senior Operations Research Scientist in SCNO, you will study complex supply chain problems, develop a deep understanding of the business, and build cutting-edge solutions. The role requires strong experience working with large data sets, advanced programming skills, and a solid foundation in statistics, probability theory, machine learning, AI, simulations (such as Monte Carlo and discrete event simulation), and operations research. In addition to technical expertise, success in this role requires a strong appetite for developing business acumen, effective collaboration with cross-functional teams, and excellent communication and presentation skills. Key responsibilities include: Developing a deep understanding of business problems through data analysis, root cause investigation, and close collaboration with team members. Efficiently gathering, analyzing, and processing large data sets by writing optimized code and building scalable data solutions. Learning and leveraging existing data science tools and models across different business domains to solve real-world challenges. Designing and implementing new applied mathematical models to address complex business problems. Interpreting model results to generate actionable insights for leadership. Communicating clearly and proactively with business leaders, peers, and stakeholders. Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs. About You 6+ years of professional experience with a Bachelor's or Master's degree (3+ years for a PhD) in Mathematics, Statistics, Computer Science, or a related field. 4+ years of experience with programming in Python, PySpark, R, SQL, and open-source data science tools. 4+ years of experience applying advanced data science, AI, and operations research techniques. Strong problem-solving skills with the ability to address business challenges creatively. Skilled in cleaning, transforming, and analyzing large datasets to generate insights. Passionate about continuous learning and empirical research, with excellent communication skills, both written and verbal. Retail and supply chain experience is a plus. Team-oriented with the ability to collaborate effectively across locations and time zones. Strong written and verbal communication skills. Why Work with Us at Target Work on advanced analytics and data science projects that directly impact Target s global supply chain, including inventory and capacity planning, transportation efficiency, and purchasing strategies. We support your professional growth through learning and development opportunities, powering you take courses in Data Science, Supply Chain, Operations Research, and other subjects. We value diversity and inclusion, fostering an environment that contributes to positive customer experiences. We offer flexible work schedules and arrangements, allowing team members to succeed both at work and in their personal lives in a hybrid setting. Useful Links to Learn More About Target and Our Benefits Life at Target https://india.target.com/ Benefits https://india.target.com/life-at-target/workplace/benefits

PRIMARY FUNCTION This role leads media operations and program management capabilities for Roundel Media Acceleration Group (MAG) in Bangalore, reporting to Vice President, Roundel Media Target in India. The person is expected to be a key player in setting strategies for Roundel media capabilities; influencing product roadmap in partnership with the leadership team in US and Bangalore. The incumbent sets the strategy and annual goals for the global capabilities of media planning, trading & optimization, ad operations, program management across managed and self-service business lines. The person is expected to unlock value of a set of connected capabilities from Bangalore and plays an active role in building Roundel as a leading media company in the world delivering compelling advertising and media solutions to brands/companies. They will play a crucial role in defining and improving OKRs, fostering transparency around performance, identifying opportunities, and implementing scalable best practices. This role requires a strong ability to demonstrate strategic planning, business acumen with a keen eye on what s happening on the broader media landscape, proactive decision making and strong execution rigor. Must be able to work in a fast-paced, highly interactive environment interfacing between senior leadership and middle management and the team at large. Principal Duties and Responsibilities Gain leadership agility in a highly matrixed cross-functional team behind a strategic vision. Partner with and influence executive leaders across Roundel, marketing, and digital teams, including SVP level. Demonstrate horizontal leadership to drive cross-functional work, foster open communication, and champion a culture of shared responsibility with the goal of delivering improved outcomes. Primary key partners would include Product, Marketing, Digital, and Merchandising Prioritize key projects and management of critical issues to ensure attention and focus of Roundel s senior leadership team. Eases decision making by striving to provide full information at point of decision and by serving as a reliable, trusted and objective channel for all stakeholders Organizing, aligning and driving strategic priorities with members of the senior Roundel leadership team Owns or identifies owners to drive operational initiatives across Roundel Bangalore. Ensures alignment and timelines support the overall business strategy Managing cross-marketing (perhaps cross-enterprise) projects, coordinating and executing to Target s strategies and agenda to ensure efficient operations Ensures the work and teams responsible for integrating enterprise data and insights ties to strategic priorities at pyramid level. Engaging directly with key internal and external stakeholders, representing the organization in a clear and compelling way. Lead teams to optimize full funnel experiences on all relevant ad-platforms using tooling/automation, advanced analytics, and aligned goals/resourcing/processes to drive best in class experiences and financial results to drive and own media performance (P&L and marketshare growth) Key Competencies: Ability to work horizontally across Marketing & Digital and enterprise to ensure clear understanding of Target s strategic roadmap, DigiRev priorities and Roundel business goals Deep understanding of business strategy, implementation/operational best practices and resource planning Strategic thinker with effective, diplomatic and proactive leadership skills. Critical thinking-ability to brainstorm on complex problems and leverage thought leadership to provide solutions Excellent interpersonal skills with the ability to read people and connect with various audiences Highly credible, collaborative, and resourceful style with the ability to work independently and as a team player. Demonstrated ability to operationalize strategies across key stakeholder groups Strong executive presence and communication skills with ability to present in a variety of settings to teams and senior leadership; comfort speaking internally or externally Analytical acumen, demonstrated ability to deep dive into data, extract insights and provide guidance on actions Root cause analysis and problem solving Team Management and Development Responsible to identify and develop top talent; leading working teams to deliver on Roundel Business strategy and operational needs A leader of leaders, this person is a mentor with strong influence across not only their direct report teams, but across Roundel and M&D India Sets clear goals and objectives with ongoing coaching, performance evaluation and feedback to build the best team and do the best work Engages and inspires team to achieve challenging goals and high standards of performance. Strategic thinker with effective, diplomatic and proactive leadership skills. Reporting / Working Relationships : Reports to Vice President, Roundel Media, Target in India Reporting to this position is a team of senior media leaders across program management and media operations. Internal and External Partnerships Roundel Leadership team Target in India Sr. Leaders MINIMUM JOB REQUIREMENTS : Bachelor s degree or higher in Business, Management, Strategy and Operations or other related field 18 + years experience in leading teams; desired is 10-12 years of experience in leading teams in retail and/or retail industry Ability and experience in communicating vision in an inspiring way Ability to provide clear, and actionable feedback Able to see solutions from a Guest s perspective and deliver against business needs without sacrificing connected guest experience Ability to effective partner with key business leaders across the organization Experience and ability to present to all levels of leadership with confidence

Job Information Job Opening ID ZR_2109_JOB Date Opened 09/02/2024 Industry Technology Job Type Work Experience 4-6 years Job Title CXO Analyst City Pune City Province Maharashtra Country India Postal Code 411001 Number of Positions 4 LocationBangalore, Mumbai, Pune, Chennai, Hyderabad, Kolkata, Delhi Technical Skills: Data strategist with expertise in Product Growth, Conversion Rate Optimization (experiments) Personalisation using digital analytics skills such as Adobe Analytics, Google Analytics, and others (Quantitative and Qualitative)Proven success in acquisition marketing and retention marketing by leveraging strategic and tactical implementation of Conversion Rate Optimization (A/B Testing) and Product Optimization (Landing Page Optimization, Product-Market Fit) through data insights.Personalisation - It includes customer segmentation, targeted messaging, dynamic content, recommendations, behavioral targeting, and AI-powered personalization.Skilled in leveraging advanced analytics tools for actionable data extraction from extensive datasets such as SQL, Big Query, Excel, Python for data analysis, Power BI, and Data StudioProficient in implementing digital analytics measurement across diverse domains using tools such as Adobe Launch, Google Tag Manager, and TealiumSoft skills:Experience in client-facing projects & stakeholder mgmt, excellent communication skillsCollaborative team player, aligning product vision with business objectives cross-functionallyAvid learner, staying current with industry trends and emerging technologiesCommitted to delivering measurable results through creative thinking, exceeding performance metrics, and fostering growth check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#2B39C2;border-color:#2B39C2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered=""> I'm interested

Job Title - Pros CPQ Senior Analyst Management Level CL10 Location:Kochi Must have skills:PROS Pricing Solution Suite Good to have skills: Job Summary :The candidate will be responsible for providing functional and implementation support for Pricing and CPQ Tools Provide functional and implementation support for Pricing and CPQ Tools solutions like PROS, PriceFx, CONGA, SFDC CPQ, Zilliant, Vendavo, SAP/Oracle Pricing, Callidus Build robust pricing models using advanced analytics and artificial intelligence to track key pricing KPIs, and build leadership dashboards in visualization tools. Work on assessing pricing processes in alignment with business imperatives and client's sales strategy through client data diagnostics and gap analysis including current state assessment and future state design, Vendor assessment and selection (PROS) Work on designing and implementing pricing waterfall, pricing strategy, competitive pricing, pricing elasticity, margin analysis, pricing diagnostics, pricing catalog, and contract pricing of services, leading to a positive impact on topline and bottom line for global B2B organizations Work on B2B Pricing Analytics (Exploratory Analysis & Reporting), target state analytics recommendation Work on recommending and deploying process improvements and enablers with best-in-class KPIs Work as an integral part of the client's sales organization, towards driving efficient and effective structure pricing and discounting approach. You will work closely with our clients as Consulting Professionals who design, build, and implement strategies that can help enhance business performance within the Pricing area. Roles & Responsibilities: Act as a trusted advisor, guiding clients through best practices and digital transformation in pricing and CPQ Technical Skills: - 1-10 years of progressive industry and/or consulting experience in the Products/ Communications & High Tech/ Financial Services industry/ Resources - 3 - 5 years experience working with PROS Smart Price Optimization & Management (POM) & Smart Configure Price Quote (CPQ) - Functional experience in Pricing of Services, products, parts, and post sales services - Proficiency in MS Excel, Macro, and PowerPoint and exposure to Visualization Tools such as Power BI and Tableau - Knowledge of other Pricing & CPQ tools like PriceFx, CONGA, SFDC CPQ, Zilliant, PROS, Vendavo, SAP/Oracle Pricing, Callidus are a plus. - Nice to have certification in any one of the following or equivalent from other pricing/CPQ solutions - PROS Smart Price Optimization and Management PROS Smart Configure Price Quote" Additional Information: NA About Our Company | Accenture (do not remove the hyperlink) Qualifications Experience: Minimum 1 -10 year(s) of experience is required Educational Qualification: B.Tech/BE /Graduate

Job Title: Industry Function AI Decision Science Consultant- SC Global Network Management Level: 9- Consultant Location: Primary - Bengaluru, Secondary - Gurugram Must-Have Skills: Data Science, AI, ML, Experience with cloud platforms such as AWS, Azure, or Google Cloud, Hands-on experience in programming languages like Python, R, PySpark, and SQL Good-to-Have Skills: Deep Learning Techniques (e.g. RNN, CNN), Visualization tools like Power BI and Tableau, Exposure to tools like ChatGPT, Llama 2, Hugging Face, etc. Job Summary : As an Industry Function AI Decision Science Consultant, you will leverage your expertise in data science and Consumer Goods domain knowledge to design and deliver AI-driven solutions. Your role will include strategic analysis, project delivery, solution development, and technical execution to empower businesses with actionable insights and enable automated and augmented decision-making. Roles Responsibilities: Conduct strategic analysis of the AI, analytics, and data maturity landscape for clients in the Consumer Goods domain Lead data science engagements, manage delivery teams, and build innovative AI capabilities Develop and implement advanced analytics solutions tailored to client requirements Utilize languages like Python, PySpark, R, and SQL for data wrangling and machine learning model development Leverage cloud technologies (Azure, AWS, GCP) to integrate and implement AI solutions Translate complex data into compelling narratives for effective data storytelling Mentor junior team members and contribute to thought leadership Professional Technical Skills: Proficiency in Python, R, PySpark, and SQL Strong knowledge of traditional statistical methods, machine learning techniques, and deep learning Hands-on experience in Consumer Goods Services domain Cloud integration skills with platforms like AWS, Azure, or Google Cloud Experience with optimization techniques (exact and evolutionary) Certifications like AWS Certified Data Analytics Specialty or Google Professional Data Engineer Familiarity with visualization tools like Tableau and Power BI Exposure to large language models (e.g., ChatGPT, Llama 2) Familiarity with version control systems like Git. Additional Information: The ideal candidate will have a strong educational background in data science, computer science, or a related field, along with a proven track record of delivering impactful AI-driven solutions in the Consumer Goods industry. About Our Company | Qualifications Experience: Minimum 4-8 years of hands-on experience in data science with a focus on the Consumer Goods industry Educational Qualification: Bachelors or Masters degree in Statistics, Economics, Mathematics, Computer Science, or equivalent degree with Data Science specialization (from a premier institute)

Skill required: Delivery - Advanced Analytics Designation: I&F Decision Sci Practitioner Specialist Qualifications: Master of Engineering/Masters in Business Economics Years of Experience: 7 to 11 years What would you do? Data & AI You will be a core member of Accenture Operations global Data & AI group, an energetic, strategic, high-visibility and high-impact team, to innovate and transform the Accenture Operations business using machine learning, advanced analytics to support data-driven decisioning. What are we looking for? Extensive experience in leading Data Science and Advanced Analytics delivery teams Strong statistical programming experience – Python or working knowledge on cloud native platforms like AWS Sagemaker is preferred Azure/ GCP Experience working with large data sets and big data tools like AWS, SQL, PySpark, etc. Solid knowledge in at least more than two of the following – Supervised and Unsupervised Learning, Classification, Regression, Clustering, Neural Networks, Ensemble Modelling (random forest, boosted tree, etc) Experience in working with Pricing models is a plus Experience in atleast one of these business domains:Energy, CPG, Retail, Marketing Analytics, Customer Analytics, Digital Marketing, eCommerce, Health, Supply Chain Extensive experience in client engagement and business development Ability to work in a global collaborative team environment Quick Learner and Independently deliver results. Qualifications:Masters / Ph.D. Computer science, Engineering, Statistics, Mathematics, Economics or related disciplines. Roles and Responsibilities: Building data science models to uncover deeper insights, predict future outcomes, and optimize business processes for clients. Utilizing advanced statistical and machine learning techniques to develop models that can assist in decision-making and strategic planning. Refining and improving data science models based on feedback, new data, and evolving business needs. Data Scientists in Operations follow multiple approaches for project execution from adapting existing assets to Operations use cases, exploring third-party and open-source solutions for speed to execution and for specific use cases to engaging in fundamental research to develop novel solutions. Data Scientists are expected to collaborate with other data scientists, subject matter experts, sales, and delivery teams from Accenture locations around the globe to deliver strategic advanced machine learning / data-AI solutions from design to deployment. Qualifications Master of Engineering,Masters in Business Economics

Required Skills Technology | Sentinel SIEM Tool Administrator | Level 2 Support Technology | Securonix SIEM Tools Administrator | Level 2 Support Education Qualification : B.Sc Certification Mandatory / Desirable : Technology | Microsoft Certified: Security, Compliance, and Identity Fundamentals / CISSP/CISM/CEH/GIAC Certified Incident Handler/Certified SOC Analyst (CSA)/CompTIA Cybersecurity Analyst (CySA+)/Cisco Certified CyberOps Associate Delivery Skills required are: - Technical Skills: - *Identifying and analyzing potential threats and vulnerabilities using various tools and techniques. *Leading and managing the response to security incidents, including containment, eradication, and recovery. *Implementing and maintaining security monitoring systems, such as SIEM (Security Information and Event Management) tools. *Prioritizing and remediating vulnerabilities based on risk assessments. Operational Skills: - *Developing, implementing, and enforcing security policies, standards, and procedures. *Managing and maintaining secure configurations for systems, networks, and applications. *Overseeing the timely application of security patches and updates to systems and software. Analytical Skills: - *Analyzing logs and event data from various sources to identify patterns and anomalies. *Utilizing advanced analytics to detect and investigate security incidents. *Conducting digital forensics investigations to uncover evidence of security breaches. Collaboration and Teamwork: - *Collaborating with other IT and security teams to enhance the organization s security posture. *Coordinating response efforts during security incidents with internal and external stakeholders. *Leading incident response teams and ensuring effective communication and collaboration.

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. 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. 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. 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