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Sr. Analyst, Global Data ManagementRelocation Assistance Offered Within Country Job Number #168601 - Mumbai, Maharashtra, India Who We Are Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name! Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all. Title: Analyst - Global Data Management   Job Purpose : Global Data Management as a function has the objective to achieve one version of data in core business systems and applications, enabling correct transactional processes and analytics, resulting in use of the information as the asset valued for the Company. Data in the scope of the function include reference data, master data, content, analytic data, social data, big data, their definitions, governance processes, metrics, lifecycle and technology. Scope of the data management depends on the current Company’s strategy and what is assessed and considered as a key priority to achieve the desired business outcome.     Purpose &amp; Accountabilities : The Global Data Management (GDM) Analyst position supports business functions by providing master data expertise and managing the master data governance and maintenance processes. Providing support and liaise with the business and the Global GDM Team with related projects and issue resolution of queries. Identify and implement improvements resulting in increased operational and business efficiency.     Key Responsibilities: <ul><li>Validate and ensure that all master data is accurate, complete and fully approved during the life cycle, in accordance to external and internal standards. Release/Reject requests and provide feedback on decision</li><li>Monitor data processes to ensure compliance with process cycle times and related performance measures and KPIs,</li><li>Monitors performance indicators/metrics for data within their span of responsibility and regularly reports status to supervisor </li><li>Analyze data in the systems to support business functions when requested</li><li>Support in issues resolution</li><li>Prepares and generates data quality reports and analysis</li><li>Plans and executes data cleansing initiatives</li><li>Participates in related projects</li><li>Ensures internal control and SOX rules are followed along GDM governance process</li><li>Develops and maintains Data Management related documentation (procedures, policies, end-user manuals, training materials, etc),</li><li>Identifies improvement to Data Management governance process, tools or systems and works on their implementation when approved,</li><li>Participates in audits, cooperates with internal and external auditors providing them required information,</li><li>Analyzes data in the systems as a part of gap-fit analysis and/or Data Management standardization projects, identifies use of the certain data elements, attributes fields, proposes standardized values and works on their implementation.</li></ul>      Key Relationships: <ul><li>End-users of GDM solutions from subsidiaries within the functional scope of responsibility</li><li>Business functions representatives from all levels of organization being involved directly in GDM governance processes or being impacted by GDM</li><li>Global GDM Domain Leaders and other regional GDM team members</li><li>Other CBS Centers</li><li>Project Teams</li><li>Global IT Organization</li><li>Other stakeholders required to solve master data issue or master data related conflict</li></ul>      Experience and Education: <ul><li>Bachelor degree minimum</li><li>Experience with Master Data Tool / Technology</li><li>Working knowledge of Machine Learning/Automation tools</li></ul><ul><li>SAP or other ERP tool knowledge</li><li>2 plus years of work experience</li><li>Proficient in Reporting and/or Budgeting</li></ul>     Good to Have: <ul><li>Working knowledge of programming languages SQL, Google App scripts.</li><li>Experience with third-party data i.e., syndicated market data, Point of Sales, etc.</li><li>Working knowledge of consumer packaged goods industry</li><li>Understanding of Colgate’s processes, and tools supporting analytics (for internal candidates)</li><li>Willingness and ability to experiment with new tools and techniques</li><li>Good facilitation and project management skills</li><li>Ability to maintain personal composure and tactfully handle difficult situations.</li></ul>  Our Commitment to Inclusion Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives  to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business. Equal Opportunity Employer Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law. Reasonable accommodation during the application process is available for persons with disabilities. Please complete this <a href="https://docs.google.com/forms/d/e/1FAIpQLSdaxk_eF4utznQoVHlxmL9jVFJbOkM4Oe5CAdKOg-h9EPdLfg/viewform" target="_blank">request form</a> should you require accommodation. #LI-Hybrid<h4>Experience Level</h4>Senior Level

Colgate - Palmolive India Ltd

Data Analyst Intern

Data Scientist Senior Associate - Fraud AnalyticsWe know that people want great value combined with an excellent experience from a bank they can trust, so we launched our digital bank, Chase UK, to revolutionize mobile banking with seamless journeys that our customers love. We're already trusted by millions in the US and we're quickly catching up in the UK – but how we do things here is a little different. We're building the bank of the future from scratch, channeling our start-up mentality every step of the way – meaning you'll have the opportunity to make a real impact.  As a Data Scientist Senior Associate at JPMorgan Chase within the International Consumer Bank, you will be a part of a flat-structure organization. Your responsibilities are to deliver end-to-end cutting-edge solutions in the form of cloud-native microservices architecture applications leveraging the latest technologies and the best industry practices. You are expected to be involved in the design and architecture of the solutions while also focusing on the entire SDLC lifecycle stages. Our fraud analytics team is at the heart of this venture, focused on getting smart ideas into the hands of our customers. We're looking for people who have a curious mindset, thrive in collaborative squads, and are passionate about new technology. By their nature, our people are also solution-oriented, commercially savvy and have a head for fintech. We work in tribes and squads that focus on specific products and projects – and depending on your strengths and interests, you'll have the opportunity to move between them.  Job spec requirements:The Fraud &amp; Financial crime Product function leads the 1st line of defense business for fraud &amp; financial crime risk, including ownership of the fraud &amp; financial crime strategy and control framework across all products and channels. Working inside a specialist fraud team to ensure transaction monitoring and controls are optimized to reduce fraud &amp; financial crime risk whilst ensuring 1st class client experience – you will be supporting the product from an Analytics perspective. Job responsibilities:<ul><li>Develop and implement fraud strategies/rules to effectively detect fraudulent activities.</li><li>Analyze data to support fraud product, fraud operations, and financial crime efforts to protect the financial interests of the customers and the bank.</li><li>Analyze data to support the fraud operation team to improve efficiency and decision accuracy, including translating fraud strategy into fraud operation impact.</li><li>Collaborate with the 2nd line fraud risk teams to ensure models, rulesets, and strategies are effective.</li><li>Ensure all compliance, audit, and control frameworks are followed – using data to confirm these processes adhere to regulation standards.</li><li>Share best practices across JP Morgan Chase &amp; Co.</li><li>Communicate effectively with superior written, oral communication, and presentation skills, with experience communicating concisely and effectively with all levels of management and partners</li></ul> Required qualifications, capabilities and skills<ul><li>Master’s degree in numeric fields or STEM related fields, such as statistics, computer science, data science, etc</li><li>Knowledge of Fraud / Financial crime processes and products</li><li>Team development and management experience required.</li></ul> #ICBCareer JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our <a href="https://careers.jpmorgan.com/us/en/how-we-hire/faqs" rel="nofollow" target="_blank">FAQs</a> for more information about requesting an accommodation.<h4>Experience Level</h4>Mid Level

JP Morgan Services India Pvt Ltd

Data Scientist

Guidewire Data Analyst Experience:&nbsp;7+&nbsp;Years&nbsp;&nbsp;About the job:We are looking for a skilled Guidewire Data Analyst to support data management, analysis, and reporting needs within Guidewire-based insurance platforms. The ideal candidate will have a deep understanding of Guidewire systems (e.g., PolicyCenter, BillingCenter, and ClaimCenter) and will work closely with stakeholders to derive actionable insights, enhance data processes, and support business objectives through detailed analysis and reporting.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Know your team:At ValueMomentum’s&nbsp;Engineering Center, we are a team of passionate engineers who thrive on tackling complex business challenges with innovative solutions while transforming the P&amp;C insurance value chain. We achieve this through strong engineering foundation and continuously refining our processes, methodologies, tools, agile delivery teams, and core engineering archetypes. Our core expertise lies in six key areas: Cloud Engineering, Application Engineering, Data Engineering, Core Engineering, Quality Engineering, and Domain expertise.&nbsp;Join a team that invests in your growth. Our&nbsp;Infinity Program&nbsp;empowers you to build your career with role-specific skill development leveraging immersive learning platforms. You'll have the opportunity to showcase your talents by contributing to impactful projects.&nbsp;Responsibilities:<ul><li>Extract, clean, and analyze data from Guidewire systems (PolicyCenter, BillingCenter, ClaimCenter).</li><li>Perform data audits and validation to ensure data accuracy and completeness.</li><li>Collaborate with data engineering teams to enhance data structures and pipelines for Guidewire data.</li><li>Maintain data integrity and ensure compliance with data governance policies</li><li>Work with business users, product managers, and technical teams to understand reporting needs and translate them into technical requirements.</li><li>Support project implementations and upgrades involving Guidewire modules.</li><li>Identify trends, anomalies, and performance issues within Guidewire workflows.</li><li>Provide recommendations for optimizing business processes based on data insights.</li></ul> Requirements:<ul><li>3+ years of experience in data analysis and reporting, preferably within insurance or financial services.</li><li>Hands-on experience with Guidewire suite (PolicyCenter, BillingCenter, ClaimCenter).</li><li>Proficiency in SQL for querying large datasets.</li><li>Experience with data visualization tools (e.g., Tableau, Power BI, Looker).</li><li>Familiarity with ETL tools and processes for data integration.</li><li>Knowledge of data warehouses and reporting frameworks.</li><li>Ability to diagnose and resolve complex technical issues efficiently.</li><li>Strong written and verbal communication skills to work effectively with technical and non-technical stakeholders.</li><li>Experience working in an Agile environment.</li></ul>

ValueMomentum Software Services Pvt Ltd

Data Analyst

Business Intelligence Delivery Lead, Data Products, YouTube<h4>Minimum qualifications:</h4><ul><li>Bachelor’s degree or equivalent practical experience. </li><li>5 years of experience in system architecture and code comprehension reading in one programming language (Java, C++, Python, etc.).</li><li>5 years of experience troubleshooting technical issues for internal/external partners or customers.</li><li>5 years of experience with data analysis and SQL/MySQL.</li><li>5 years of experience in analytics and analytics development.</li><li>Experience with relational databases including SQL queries, database definition, and schema design. Experience with business intelligence and data visualization tools including Looker, Tableau, or PowerBI.</li></ul> <h4>Preferred qualifications:</h4><ul><li>Master’s degree or equivalent practical experience.</li><li>10 years of experience creating dashboards, manipulating datasets, and performing data analysis using SQL and data visualization tools (Looker, Tableau, PowerBI, Data Studio, etc.).</li><li>Experience working with product adoption, business, or media consumption data, and working with Python-based APIs and utilities.</li><li>Experience with one or more programming languages (Python, Java, C++, etc.) to deliver or manage data pipelines.</li><li>Experience converting business requests into technical requirements for insightful data products. Experience deploying data products, including working cross-functionally to deliver products and tailored communications to drive adoption.</li></ul>5 years of experience with data analysis and SQL/MySQL.5 years of experience with data analysis and SQL/MySQL.<h4>About the job</h4>YouTube Analytics and Data Science drives robust business decisions through analysis, data democratization, and actionable insights. The Users, Partnerships, and Creators Data Products team enhances the experience of front-line strategic partner managers and support operations. This is achieved by developing scalable data products and delivering cogent insights for partner engagement, creator and consumer support and go-to-market strategies across YouTube's relationships with creators, brands, media companies and distributors.In this role, you will lead the end-to-end development of our centralized reporting and analytics solutions. You will partner with Partnerships, Support, and Go-to-Market teams to translate business needs into impactful data products that drive better decision-making at scale. You will own the delivery of these solutions while advocating technical best practices among our community of BI analysts and data engineers.At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.In this role, you will lead the end-to-end development of our centralized reporting and analytics solutions. You will partner with Partnerships, Support, and Go-to-Market teams to translate business needs into impactful data products that drive better decision-making at scale. You will own the delivery of these solutions while advocating technical best practices among our community of BI analysts and data engineers.<h4>Responsibilities</h4><ul><li>Lead the end-to-end development and deployment of centralized, reports, dashboards, models, and tools to analyze and present data related to partner management, creator and consumer support. </li><li>Collaborate with Partnerships, Consumer and Creator Support Operations, and Go-to-Market (GTM) teams to identify key business questions and process pain points where data products can enhance YouTube's GTM outcomes. Translate ambiguous business requests into technical requirements for insightful data products. </li><li>Deliver and contribute to a prioritized roadmap, working cross-functionally with Data Infrastructure (DI) and Engineering to release product features that empower stakeholders to improve YouTube's support outcomes. </li><li>Deliver data products to Partner Management and User Support teams to drive better decision-making. Assist in creating Key Performance Indicators and key results for the YouTube Business Organization, and provide strategic and operational recommendations to achieve goals. </li></ul><h4>Experience Level</h4>Senior Level

Google India Pvt Ltd

Business Intelligence Manager

Business Intelligence AnalystWe’re in an unbelievably exciting area of tech and are fundamentally reshaping the data storage industry. Here, you lead with innovative thinking, grow along with us, and join the smartest team in the industry.This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us.Pure Storage, Inc. is seeking a highly skilled and experienced Lead BI Engineer - Tableau Developer to join our team. As a BI Engineer - Tableau Developer, you will be in a customer-facing role, responsible for requirements analysis, design and implementing effective data visualization solutions, creating interactive reports and dashboards, and providing valuable insights to drive data-informed decision-making across the organization. While proficiency in Tableau is the primary requirement for this role, expertise in similar tools like QlikView/Qlik Sense, Salesforce CRM Analytics , Power BI,  or AWS QuickSight will be advantageous for effectively integrating data from diverse sources.Technical Qualifications:<ul><li>8+years of experience in designing and developing interactive dashboards and reports in Tableau that effectively communicate complex data insights to non-technical users.</li><li>3+years of working knowledge on Snowflake is a Plus</li><li>Highly Proficient and hands on - Complex SQL </li><li>Familiarity with working with GTM data and exposure to Salesforce.</li><li>Having done Quality Assurance in prior roles as additional responsibilities.</li><li>Be able to operate as a Fullstack BI engineer when need be.</li><li>Experience with Salesforce Einstein Analytics &amp; SOQL is value add.</li><li>Hands-on experience on Python , Pyspark.</li><li>Develop and maintain data sources, data extracts, and data models to support reporting and analytics needs.</li><li>Stay up-to-date with the latest trends and advancements in Tableau software and data visualization techniques, and incorporate new features and capabilities into existing reports and dashboards.</li><li>Identify and troubleshoot issues with existing Tableau reports and dashboards, and implement solutions to optimize performance and usability.</li><li>Work closely with the data engineering team to ensure data quality, consistency, and accuracy.</li><li>Collaborate with business stakeholders and data analysts to understand business requirements and translate them into actionable insights and reporting solutions.</li></ul><ul><li>Bachelor's degree in Computer Science, Information Systems, Math, Statistics, or a related field.</li><li>Strong understanding of data visualization and design principles, with the ability to transform complex data sets into simple and intuitive visualizations.</li><li>Solid understanding of data modeling, database design, and SQL.</li><li>Experience with data integration, ETL, and data warehousing concepts.</li><li>Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams Strong communication skills.</li><li>An ability to talk both to the technical teams responsible for the data and comfortable explaining data and conclusions to non-technical teams.</li><li>Tableau Desktop and Tableau Server Certification is a plus.</li><li>Experience with Cloud Database systems like Snowflake or AWS Redshift will be a plus. Soft Skills:<ul><li>Be a self-starter who takes autonomy and pride in your work.</li><li>Have the ability to think independently while also working in a collaborative environment.</li><li>Not be afraid to ask for help, voice your opinion, or make suggestions for improvements.</li><li>Be a fast learner and have a passion and drive for continuous learning and challenging yourself.</li><li>Be able to have fun in the midst of stress while maintaining great attention to detail.</li><li>Adapt quickly to new situations and be forward-thinking.</li><li>Have a clear and transparent communication style.</li><li>Be creative and want to use your creativity to move the business forward.</li><li>Have a willingness and openness to learning new practices, platforms, and technologies.</li></ul> This is a full time position and the candidate is expected to report into Pure Storage’s Bangalore Office. </li></ul>WHAT YOU CAN EXPECT FROM US:<ul><li>Pure Innovation: We celebrate those who think critically, like a challenge and aspire to be trailblazers.</li><li>Pure Growth: We give you the space and support to grow along with us and to contribute to something meaningful. We have been Named Fortune's Best Large Workplaces in the Bay Area™, Fortune's Best Workplaces for Millennials™ and certified as a Great Place to Work®!</li><li>Pure Team: We build each other up and set aside ego for the greater good.</li></ul>And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources and company-sponsored team events. Check out <a href="http://purebenefits.com">purebenefits.com</a> for more information.ACCOMMODATIONS AND ACCESSIBILITY:Candidates with disabilities may request accommodations for all aspects of our hiring process. For more on this, contact us at <a href="mailto:TA-Ops@purestorage.com">TA-Ops@purestorage.com</a> if you’re invited to an interview.OUR COMMITMENT TO A STRONG AND INCLUSIVE TEAM:We’re forging a future where everyone finds their rightful place and where every voice matters. Where uniqueness isn’t just accepted but embraced. That’s why we are committed to fostering the growth and development of every person, cultivating a sense of community through our Employee Resource Groups and advocating for inclusive leadership. Pure is proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other characteristic legally protected by the laws of the jurisdiction in which you are being considered for hire.<h4>Experience Level</h4>Mid Level

Pure Storage India Pvt Ltd

BI Developer

Business Intel Engineer<h4>Description</h4>Our customers have immense faith in our ability to deliver packages timely and as expected. A well planned network seamlessly scales to handle millions of package movements a day. It accurately forecasts the package movements across the network, has monitoring mechanisms that detect failures before they even happen (such as predicting network congestion, operations breakdown). When failures do happen, it has inbuilt redundancies to mitigate impact (such as determine other routes or service providers that can handle the extra load), and avoids relying on single points of failure (service provider, node, or arc). Finally, it is cost optimal, so that customers can be passed the benefit from an efficiently set up network. Amazon Shipping (SWA) is hiring Senior Business Intelligence Engineer (BIE) to enhance the pick-up experience and reduce first-mile costs. As a Senior BIE at SWA, you will lead the data and reporting requirements for First Mile and Pickup programs. Your role will involve close engagement with senior leaders to generate insights and conduct deep dives into key metrics that directly influence organizational strategic decisions and priorities. You will demonstrate a high proficiency in complex SQL scripting, often combining various data sets from diverse sources. You will contribute to projects to improve Volume Forecasting and Capacity Panning. You will own the design, development, and maintenance of ongoing metrics, reports, dashboards, etc. to drive key business decisions. You will simplify and automate reporting, audits, and other data-driven activities. You will partner with Data Engineering to enhance data infrastructure, data availability, and broad access to customer insights. You will develop and drive best practices in data integrity, consistency, validations, and documentation. Additionally, you will act as team lead providing mentorship, reviewing product development, and offering guidance on ad-hoc leadership requests to junior team members. You will work as part of a diverse data science and engineering team comprising of Applied Scientists, Software Development Engineers, and other BIEs. Furthermore, you will also be called upon to provide business intelligence consultation beyond your team for various problem statements. If you are excited by this charter, come join us! <h4>Basic Qualifications</h4>- Bachelors or Masters in Computer Science, Mathematics, Statistics, Operations Research, Data Science, Economics, Business Administration, or a similar related discipline - 5+ years of experience in BIE/BA roles with hands-on SQL and advanced Microsoft Excel skills - Experience with statistical analytics and programming languages such as R, Python, Ruby, etc. - Experience with metric creation, theory and practice of design of experiments and statistical analysis of results - Experience with data visualization using Tableau, Quicksight, or similar tools<h4>Preferred Qualifications</h4>- Master's degree in statistics, data science, or an equivalent quantitative field - Prior Experience in Transportation Logistics business - Superior verbal and written communication and presentation skills, experience working across functional teams and senior stakeholders. - Experience with AWS technologies Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit <a href="https://amazon.jobs/content/en/how-we-hire/accommodations">https://amazon.jobs/content/en/how-we-hire/accommodations</a> for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

 Amazon India Limited 

Business Intelligence Engineer

R/R Shiny Developer EY is looking for passionate developers skilled in R and R Shiny to join our team for an exciting project. Role: R/R Shiny DeveloperExperience: 4–6 yearsNotice Period: Up to 60 days maximum Key Skills:<ul><li> Strong hands-on experience with R and R Shiny. </li><li> Experience building and deploying interactive dashboards using R Shiny</li><li> Familiar with SQL, Git, and API integrations</li></ul> If this sounds like you and you can join within 60 days, send your resume with the following details:- Current CTC: - Expected CTC:- Notice Period:- Current Location:- Preferred Location:

Ernst & Young LLP ( EY India )

Associate Application Developer

Data Scientist • Must Have: Time series, forecasting, ARIMA, SARIMA, XGBoost, Random forest, Python Coding exp• Strong expertise in time series forecasting (ARIMA, XGBoost, RandomForest, TFT, NHITS, etc.) and familiarity with deep learning frameworks (TensorFlow, PyTorch).• Excellent programming skills in Python (preferred), with proficiency in libraries such as NumPy, Pandas, scikit-learn, and visualization tools (Matplotlib, Seaborn, Plotly).• Solid conceptual understanding of machine learning algorithms, deep learning architectures, and statistical methods.• Experience with data preprocessing, feature engineering, and model evaluation. Immediate Joiners preferred If you are interested, Share your resumes to <a rel="noopener noreferrer" href="\&quot;mailto:shyamsundarr@thoucentric.com\&quot;" target="_blank">shyamsundarr@thoucentric.com</a> on or before 1st September

Thoucentric Technology Private Limited

Data Science Associate ConsultantData Science: Associate ConsultantExperience: 2.5+ yearsRequirement:<ul><li>Bachelor’s Degree in technical or quantitative field from an accredited college or university (Masters or PhD in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields is preferred) with 2.5+ years of relevant experience in Machine Learning, Statistics.</li><li>Strong mathematical background with ability to understand algorithms and methods from a mathematical viewpoint and an intuitive viewpoint.</li></ul> Must have Skills and Experience<ul><li>Excellent communication skill and should be able to frame problem statement into analytical approaches</li><li>Strong in exploratory data analyses, generate and test working hypotheses, prepare and analyze historical data and identify patterns.</li><li>Strong programming experience in Python, SQL Should have experience of working with open-source packages &amp; commercial/enterprise applications. </li><li>Excellent in machine learning, statistical methods, such as regression, classification, clustering, ensemble &amp; tree-based models, time-series analysis with hands on experience on some of them.</li><li>Familiarity with NLP concepts.</li><li>Exposure on Generative AI and retriever augmented generation use cases</li></ul> Data Science: Associate ConsultantExperience: 2.5+ yearsRequirement:<ul><li>Bachelor’s Degree in technical or quantitative field from an accredited college or university (Masters or PhD in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields is preferred) with 2.5+ years of relevant experience in Machine Learning, Statistics.</li><li>Strong mathematical background with ability to understand algorithms and methods from a mathematical viewpoint and an intuitive viewpoint.</li></ul> Must have Skills and Experience<ul><li>Excellent communication skill and should be able to frame problem statement into analytical approaches</li><li>Strong in exploratory data analyses, generate and test working hypotheses, prepare and analyze historical data and identify patterns.</li><li>Strong programming experience in Python, SQL Should have experience of working with open-source packages &amp; commercial/enterprise applications. </li><li>Excellent in machine learning, statistical methods, such as regression, classification, clustering, ensemble &amp; tree-based models, time-series analysis with hands on experience on some of them.</li><li>Familiarity with NLP concepts.</li><li>Exposure on Generative AI and retriever augmented generation use cases</li></ul> Data Science: Associate ConsultantExperience: 2.5+ yearsRequirement:<ul><li>Bachelor’s Degree in technical or quantitative field from an accredited college or university (Masters or PhD in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields is preferred) with 2.5+ years of relevant experience in Machine Learning, Statistics.</li><li>Strong mathematical background with ability to understand algorithms and methods from a mathematical viewpoint and an intuitive viewpoint.</li></ul> Must have Skills and Experience<ul><li>Excellent communication skill and should be able to frame problem statement into analytical approaches</li><li>Strong in exploratory data analyses, generate and test working hypotheses, prepare and analyze historical data and identify patterns.</li><li>Strong programming experience in Python, SQL Should have experience of working with open-source packages &amp; commercial/enterprise applications. </li><li>Excellent in machine learning, statistical methods, such as regression, classification, clustering, ensemble &amp; tree-based models, time-series analysis with hands on experience on some of them.</li><li>Familiarity with NLP concepts.</li><li>Exposure on Generative AI and retriever augmented generation use cases</li></ul> <h4>Experience Level</h4>Mid Level

Kpmg India Services Llp

Data Science Intern

Business Data Analyst Mandatory Skills- Business Analysis, efficiency in SQL, Power BI, Python SQLExperience- 5-7 Years Share your updated resume now.

Coforge

Business Data Analyst

Senior Associate L2 - DS-AI & Machine Learning Publicis Sapient is looking for a highly capable Machine Learning Engineer to join its Data CoE. As part of the team, you will be responsible for creating data-driven solutions. You will be working on various MLOps stages namely deployment, governance, reproducibility, and monitoring of ML models. You will be evaluating new or existing machine learning (ML) processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI software s predictive automation capabilities. You will be participating in the development of machine learning apps that meet business needs. You will also communicate with clients and stakeholders to understand business objectives and how to achieve them using machine learning.Your Impact:<ul><li>As a Senior Data Scientist specializing in Generative AI, you will:</li><li>Shape Next-Generation Solutions: Partner with cross-functional teams to design and implement AI-driven systems that transform user experiences and streamline business processes.</li><li>Enhance AI Through Data: Employ data-centric methodologies to improve model accuracy and responsiveness by curating high-quality datasets and optimizing real-time performance.</li><li>Finetune Industry-Specific Gen AI Models: Adapt and fine-tune large language models for domain-specific applications using advanced techniques like instruction tuning, domain adaptation, and reinforcement learning from human feedback (RLHF).</li><li>Develop Intelligent AI Agents: Architect and refine AI agents that solve complex business challenges, leveraging LLMs to deliver personalized, user-centric solutions.</li><li>Advance Generative AI Applications: Innovate with cutting-edge generative AI models such as LLM, VLM, GANs, and VAEs to create tailored applications for dynamic content creation, predictive analytics, and enhanced automation.</li><li>Scale AI with Cloud Technology: Deploy and scale LLM-based solutions on platforms like GCP, AWS&nbsp;and Azure to address real-world business problems with precision and efficiency.</li></ul> ﻿QualificationsYour Skills &amp; Experience:<ul><li>Bachelor s degree in computer science, data science, mathematics, or a related field.</li><li>At least two years experience as a machine learning engineer.</li><li>Advanced proficiency with Python, Java, and R code writing.</li><li>Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.</li><li>In-depth knowledge of mathematics, statistics, and algorithms.</li><li>Superb analytical and problem-solving abilities. Set Yourself Apart With:</li><li>Experience in Docker, Kubernetes, Kubeflow, MLflow, DVC, Cloud platforms</li><li>ML Model deployments and serving</li><li>Model Monitoring, Management and Governance</li><li>ML Feature Store and Artefact Store</li><li>Orchestration and ML Pipelines</li></ul>

Publicis Sapient Consulting Pvt Ltd

Data Annotation Engineer

Data Science + Gen AI Professional We’re Hiring! Join our Dynamic Team at Straive - Gramener<ul><li>Skills - Gen AI, RAG, LLM, Model Development</li><li>Experience - 4+ Years</li></ul> Share your updated resume now.

Straive

Tech Lead - SQL + Snowflake + ADF JobYASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation. At YASH, we’re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future. We are looking forward to hire MS SQL Professionals in the following areas : <h4>Experience</h4>5 - 7 Years<h4>Job Description</h4>Job Summary:We are looking for a skilled SQL Server, Snowflake Developer to join our data and analytics team. The ideal candidate will have strong experience in developing and maintaining data solutions using SQL Server, Snowflake. You will play a key role in building scalable data pipelines, designing data models, and delivering business intelligence solutions.Key Responsibilities:-Develop and optimize complex SQL queries, stored procedures, and ETL processes in SQL Server. -Design and implement data pipelines and models in Snowflake. -Build and maintain SSIS packages for ETL workflows. -Migrate and integrate data between on-premise SQL Server and Snowflake cloud platform. -Collaborate with business analysts and stakeholders to understand reporting needs. -Ensure data quality, performance tuning, and error handling across all solutions. -Maintain technical documentation and support data governance initiatives. Required Skills &amp; Qualifications:-5-7 years of experience with SQL Server (T-SQL). -2+ years of hands-on experience with Snowflake. -Strong understanding of ETL/ELT processes and data warehousing principles. -Experience with data modeling, performance tuning, and data integration. -Familiarity with Azure cloud platforms is a plus. -Good communication and problem-solving skills. Preferred / Good-to-Have Skills:-Experience with Azure Data Factory (ADF) for orchestrating data workflows. -Experience with Power BI or other visualization tools. -Exposure to CI/CD pipelines and DevOps practices in data environments.<h4>Required Technical/ Functional Competencies</h4>Domain/ Industry Knowledge:<ul><li>Basic knowledge of customer's business processes- relevant technology platform or product.</li><li>Able to prepare process maps, workflows, business cases and simple business models in line with customer requirements with assistance from SME and apply industry standards/ practices in implementation with guidance from experienced team members.</li></ul>Requirement Gathering and Analysis:<ul><li>Working knowledge of requirement management processes and requirement analysis processes, tools &amp; methodologies.</li><li>Able to analyse the impact of change requested/ enhancement/ defect fix and identify dependencies or interrelationships among requirements &amp; transition requirements for engagement.</li></ul>Product/ Technology Knowledge:<ul><li>Working knowledge of technology product/platform standards and specifications.</li><li>Able to implement code or configure/customize products and provide inputs in design and architecture adhering to industry standards/ practices in implementation.</li><li>Analyze various frameworks/tools, review the code and provide feedback on improvement opportunities.</li></ul>Architecture tools and frameworks:<ul><li>Working knowledge of architecture Industry tools &amp; frameworks.</li><li>Able to identify pros/ cons of available tools &amp; frameworks in market and use those as per Customer requirement and explore new tools/ framework for implementation.</li></ul>Architecture concepts and principles:<ul><li>Working knowledge of architectural elements, SDLC, methodologies.</li><li>Able to provides architectural design/ documentation at an application or function capability level and implement architectural patterns in solution &amp; engagements and communicates architecture direction to the business.</li></ul>Analytics Solution Design:<ul><li>Knowledge of statistical &amp; machine learning techniques like classification, linear regression modelling, clustering &amp; decision trees.</li><li>Able to identify the cause of errors and their potential solutions.</li></ul>Tools &amp; Platform Knowledge:<ul><li>Familiar with wide range of mainstream commercial &amp; open-source data science/analytics software tools, their constraints, advantages, disadvantages, and areas of application.</li></ul><h4>Required Behavioral Competencies</h4>Accountability:<ul><li>Takes responsibility for and ensures accuracy of own work, as well as the work and deadlines of the team.</li></ul>Collaboration: <ul><li>Shares information within team, participates in team activities, asks questions to understand other points of view.</li></ul>Agility:<ul><li>Demonstrates readiness for change, asking questions and determining how changes could impact own work.</li></ul>Customer Focus:<ul><li>Identifies trends and patterns emerging from customer preferences and works towards customizing/ refining existing services to exceed customer needs and expectations.</li></ul>Communication:<ul><li>Targets communications for the appropriate audience, clearly articulating and presenting his/her position or decision.</li></ul>Drives Results:<ul><li>Sets realistic stretch goals for self &amp; others to achieve and exceed defined goals/targets.</li></ul>Resolves Conflict:<ul><li>Displays sensitivity in interactions and strives to understand others’ views and concerns.</li></ul><h4>Certifications</h4>
Mandatory At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale. Our Hyperlearning workplace is grounded upon four principles<ul><li>Flexible work arrangements, Free spirit, and emotional positivity</li><li>Agile self-determination, trust, transparency, and open collaboration</li><li>All Support needed for the realization of business goals,</li><li>Stable employment with a great atmosphere and ethical corporate culture</li></ul><h4>Experience Level</h4>Senior Level

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