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Lead Data ScientistRazorpay was founded by<a href="https://www.linkedin.com/in/kumarshashank/" target="_blank"> Shashank Kumar</a> and<a href="https://www.linkedin.com/in/harshilmathur/" target="_blank"> Harshil Mathur</a> in 2014. Razorpay is building a new-age digital banking hub (Neobank) for businesses in India with the mission is to enable frictionless banking and payments experiences for businesses of all shapes and sizes. What started as a B2B payments company is processing billions of dollars of payments for lakhs of businesses across India. We are a full-stack financial services organisation, committed to helping Indian businesses with comprehensive and innovative payment and business banking solutions built over robust technology to address the entire length and breadth of the payment and banking journey for any business. Over the past year, we've disbursed loans worth millions of dollars in loans to thousands of businesses. In parallel, Razorpay is reimagining how businesses manage money by simplifying business banking (via<a href="https://razorpay.com/x/" target="_blank"> Razorpay X</a>) and enabling capital availability for businesses (via<a href="https://razorpay.com/capital/" target="_blank"> Razorpay Capital</a>). The Role:We are looking for an enthusiastic Lead Data Scientist to join our growing team. The hire will be responsible for working in collaboration with other data scientists and engineers across the organization to develop production-quality models for a variety of problems across Razorpay. Some possible problems include : making recommendations to merchants from Razorpay’s suite of products, cost optimization of transactions for merchants, automatic address disambiguation / correction to enable tracking customer purchases using advanced natural language processing techniques.As part of the DS team @ Razorpay, you’ll work with some of the smartest engineers/architects/data scientists in the industry and have the opportunity to solve complex and critical problems for Razorpay.Responsibilities:● Lead the data science team, providing guidance, mentorship, and technical expertise to drive impactful outcomes.● Apply advanced data science methodologies, mathematics, and machine learning techniques to solve intricate and strategic business problems.● Collaborate closely with cross-functional teams, including engineers, product managers, and business stakeholders, to develop and deploy robust data science solutions.● Conduct in-depth analysis of large and complex datasets to extract valuable insights and drive actionable recommendations.● Present findings, insights, and strategic recommendations to senior stakeholders in a clear and concise manner.● Identify key metrics and develop executive-level dashboards to monitor performance and support data-driven decision-making.● Oversee multiple projects concurrently, ensuring high-quality deliverables within defined timelines.● Train and mentor junior data scientists, fostering their professional growth and fostering a collaborative and innovative team environment.● Continuously improve and optimize data science solutions, evaluating their effectiveness and exploring new methodologies and technologies.● Drive the deployment of data-driven solutions into production, ensuring seamless integration and effective communication of results. Mandatory Qualifications:● 7-9 years experience in a data science role, with a track record of delivering impactful solutions in a production environment.● Advanced degree (Master's or Ph.D.) in a quantitative field, such as Computer Science, Statistics, Mathematics, or related disciplines.● Deep knowledge and expertise in advanced machine learning techniques, statistical analysis, and mathematical modeling.● Proficiency in programming languages such as Python, R, or Scala, with experience in building scalable and efficient data science workflows.● Deep experience with big data processing frameworks (e.g., Hadoop, Spark) and deep learning frameworks (e.g., TensorFlow, PyTorch).● Strong leadership skills, with the ability to guide and inspire a team, prioritize tasks, and meet project goals.● Excellent communication and presentation skills, with the ability to convey complex concepts to both technical and non-technical stakeholders.● Proven experience in driving data-driven decision-making processes and influencing strategic initiatives.● Deep experience with cloud platforms (e.g., AWS, Azure, GCP) and their data science tools and services.● A passion for staying up-to-date with the latest advancements in data science and actively exploring new techniques and technologies. Location: BangaloreRazorpay believes in and follows an equal employment opportunity policy that doesn't discriminate on gender, religion, sexual orientation, colour, nationality, age, etc. We welcome interests and applications from all groups and communities across the globe.  Follow us on <a href="https://www.linkedin.com/company/razorpay/mycompany/" target="_blank">LinkedIn</a> &amp; <a href="https://twitter.com/Razorpay" target="_blank">Twitter</a><h4>Experience Level</h4>Senior Level

Razorpay Software Pvt Ltd

Data Analyst Intern

AI Engineer Skills<ul><li>Experience with prompt engineering, LLMs, multi-agent frameworks, OpenAI, and Databricks</li></ul> <ul><li>Experience: 6 to 8 years</li><li>Notice Period: Immediate joiners preferred</li></ul> Share your updated resume now.

Enable Data

Automation Process Engineer

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

MTS - Fleet Insights Team - FlashArrayWe’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.Fleet Insights TeamThe Fleet Insights team operates at the intersection of software engineering, data engineering, and cloud-scale observability. We dig deep into customer-impacting issues, design resilient systems to detect and classify them, and build intelligent data pipelines that transform how Pure understands and supports its global fleet.As an MTS-4 engineer, you'll be both a systems builder and a data problem solver—designing large-scale services, leading technical direction, and building tools that extract actionable insights from telemetry and logs. This is a high-leverage role for someone who wants to build at scale, solve tough data problems, and make a measurable difference to Pure’s customers.WHAT YOU’LL BE DOING...<ul><li>Architect and implement backend services for ingesting, extracting, and classifying telemetry logs at scale (e.g., TALES platform).</li><li>Design data pipelines to process and analyze structured and unstructured logs, enabling real-time fleet intelligence and RCA automation.</li><li>Build scalable distributed systems using technologies like Redis, SQS, RDS, and S3 to support fault-tolerant, stateless services.</li><li>Develop and deploy microservices on cloud-native platforms (e.g., AWS, Pure1Build) using containerized infrastructure (Docker, Kubernetes).</li><li>Establish and maintain robust observability—define SLOs, build health checks, monitor job queues, and implement alerting using tools like Datadog and PagerDuty.</li><li>Create and optimize data models for failure classification, metrics aggregation, and long-term log storage using SQL-based stores (PostgreSQL, Snowflake).</li><li>Mentor junior engineers, drive technical reviews, and write high-quality design docs that guide the team’s architecture decisions.</li><li>Collaborate closely with platform, support, and product teams to align on service APIs, failure workflows, and operational ownership.</li><li>Continuously improve system reliability, cost-efficiency, and developer experience through refactoring, automation, and design iteration.</li></ul>WHAT YOU’LL NEED TO BRING TO THIS ROLE...<ul><li>8+ years of experience in software engineering and/or data engineering, building and operating backend services in Python, Go, or Java.</li><li>Strong knowledge of distributed systems fundamentals, service-oriented architecture, and asynchronous workflows.</li><li>Hands-on experience building data pipelines or log analytics systems using cloud-native tools (e.g., AWS Glue, Lambda, S3, Athena, Kafka, or equivalent).</li><li>Deep understanding of database systems—SQL and NoSQL—combined with strong data modeling and performance optimization skills.</li><li>Cloud infrastructure expertise, ideally in AWS, including IAM, cost-aware architecture, and autoscaling principles.</li><li>Familiarity with CI/CD pipelines, microservices lifecycle management, and containerization with Docker/Kubernetes.</li><li>Demonstrated ability to design and lead complex, cross-functional technical initiatives with minimal oversight.</li><li>Excellent communication skills—able to explain design trade-offs, simplify complex systems, and influence across teams.</li><li>A strong mentoring mindset and a willingness to help level-up peers and junior team members.</li><li>Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.</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>Senior Level

Dispatch Specialist

Data StewardWe’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.We are looking for a highly motivated and detail-oriented Data Steward to join our Global Sales Operations team. This role will support a wide range of operational processes including sales planning, sales compensation, data analysis and reporting, and strategic project execution. The ideal candidate is someone with strong analytical skills, a collaborative mindset, and the ability to work cross-functionally to drive data accuracy, operational excellence, and process improvement.<h4>Key Responsibilities:</h4><ul><li>Sales Planning Support annual sales planning cycle, manage plan and coverage assignments, and own account data accuracy</li><li>Data Management &amp; System Support: Maintain data accuracy in SFDC and Anaplan; identify and resolve discrepancies; support internal tools such as D&amp;B, Reltio and Anaplan</li><li>Reporting &amp; Insights: Build reports and dashboards; analyze data to deliver actionable insights that support Sales Ops initiatives and strategic decisions.</li><li>Process Improvement &amp; Documentation: Identify opportunities for automation and efficiency; document processes and support knowledge sharing across global Sales Ops functions.</li><li>Cross-Functional Coordination: Collaborate with sales, finance, and IT teams to ensure smooth execution of Sales Ops processes and continuous support for business stakeholders.</li></ul> Requirements:<ul><li>4–6 years of experience in Sales Operations, Business Operations, or related functions.</li><li>Strong working knowledge of Salesforce (SFDC) and Anaplan; familiarity with D&amp;B, Reltio and other sales tools is a plus.</li><li>Proficiency in Microsoft Excel and Google Sheets for analysis, reporting, and process management.</li><li>Familiarity with sales operations, sales planning processes, business metrics, and compensation operations.</li><li>Strong communication and coordination skills with a customer-first mindset.</li><li>Ability to quickly learn new systems, manage multiple priorities, and adapt to changing business needs.</li><li>A proactive, detail-oriented, and collaborative attitude with resilience in problem solving.</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>Senior Level

Senior Data Processing Officer

Data Scientist (Image Processing) We’re looking for Data Scientist with expertise in image processing and the following skills:<ul><li>Strong understanding of supply chain and supplier performance evaluation</li><li>Experience in procurement, supplier management, logistics, and plant operations</li><li>Proficiency in Python, PySpark, SQL, Power BI (Advanced), Databricks, Azure/AWS</li><li>Machine Learning, Data Visualization, TensorFlow, PyTorch</li><li>Power BI Desktop &amp; Service (Advanced): DAX, custom visuals, Python integration</li><li>ML &amp; AI: Predictive modeling, regression, classification, clustering, anomaly detection</li><li>Data wrangling: Pandas, NumPy, Scikit-learn, PySpark</li><li>Dev skills: Bash, Java Core, Spring Boot, REST, Gradle</li><li>Excellent communication and stakeholder management skills</li><li>Bonus: German language proficiency</li></ul> Notice period: Immediate to max 30 daysExperience: 3 – 6 Years If interested, share your updated CV.

Capgemini

Data Scientist

Product Analytics EXL is Hiring: Product Analytics Role Experience: 2 to 9 years Requirements:<ul><li>Domain expertise in Product Analytics</li><li>Strong skills in SAS (mandatory)</li><li>Experience in Product Analytics + Banking + SAS</li><li>Immediate joiners preferred (Notice period: Immediate to 60 days)</li></ul> To Apply:Send your updated resume along with the following details: Total years of experienceRelevant years of experienceCurrent organizationCurrent CTCExpected CTCNotice period

EXL Service

Product Lead

Senior Data EngineerSkill set: Azure Databricks , ADF, SQL, ETL (Data engineering) Roles &amp; Responsibilities, Mandatory: JD <ul><li>6-8 years of professional work experience in a relevant field</li><li>Good experience and hands-on with Azure Databricks, ADF, delta lake.</li><li>Experience/ prior knowledge on semi structure data and steaming, Azure synapse analytics, data lake, data warehouse. </li><li>Hands on experience with Azure Data Lake, Azure Data Factory, SQL Data Warehouse, SQL, Python, cosmos db.</li><li>Proficient in creating Azure Data Factory pipelines for ETL processing; copy activity, custom Azure development etc.</li><li>knowledge on Power bi would be beneficial.</li><li>Understand business requirements to set functional specifications for reporting applications</li></ul><h4>Experience Level</h4>Senior Level

Pradeepit Global Consulting Private Limited

Data Engineer

Power BI | HybridKey Responsibilities: Design, develop, and maintain data models, reports, and dashboards in Oracle Analytical Server. o Create and optimize SQL queries and views for data extraction and reporting. o Collaborate with business users to understand their reporting requirements and translate them into BI solutions. 3+ years of experience in business intelligence, data analytics, or a related field. o Hands-on experience with BI tools such as Power BI, Tableau, QlikView, or similar. o Strong SQL skills and experience working with databases (e.g., Oracle, MySQL, PostgreSQL). o Experience with data warehousing concepts and ETL processes. o Familiarity with cloud-based BI tools (e.g., Azure, AWS) is a plus. <h4>Experience Level</h4>Mid Level

Business Intelligence Analyst

Data Engineer (Databricks, SQL, Python) We are seeking an experienced&nbsp;Data Engineer&nbsp;with 4 to 5 years of experience, and at least 3+ years of expertise in designing and implementing data solutions using the Databricks platform. The ideal candidate will have a solid background in distributed computing, big data technologies, and cloud platforms. Key Responsibilities:<ul><li>Design, implement, and maintain scalable data solutions using&nbsp;Databricks.</li><li>Work with programming languages such as&nbsp;Python, SQL, or Scala.</li><li>Collaborate with cross-functional teams to deliver data-driven solutions.</li><li>Optimize and manage data pipelines using&nbsp;Apache Spark&nbsp;and&nbsp;cloud services&nbsp;(AWS, Azure, or GCP).</li><li>Leverage DevOps practices to automate deployments and monitor data pipelines.</li></ul> Key Skills:<ul><li>Proficiency in&nbsp;Python,&nbsp;SQL, or&nbsp;Scala.</li><li>Hands-on experience with&nbsp;Databricks&nbsp;and&nbsp;Apache Spark.</li><li>Strong knowledge of&nbsp;cloud platforms&nbsp;like AWS, Azure, or GCP.</li><li>Good understanding of&nbsp;distributed computing&nbsp;and big data technologies.</li><li>Familiarity with&nbsp;containerization&nbsp;(Docker, Kubernetes) and&nbsp;DevOps&nbsp;practices.</li></ul> Good to Have:<ul><li>Experience with&nbsp;containerization technologies&nbsp;(Docker, Kubernetes).</li><li>Knowledge of&nbsp;automated deployment and monitoring&nbsp;for data pipelines.</li></ul> Qualifications:<ul><li>Bachelor’s or Master’s degree in&nbsp;Computer Science,&nbsp;Engineering, or a related field</li></ul>

Teachmantra Solution

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

Data Engineer -Apache Spark-Java<h4>Job Responsibilities</h4>As a Techie, Do you face these challenges while pursuing opportunities? <ul><li>Navigating numerous job platforms.</li><li>Enduring lengthy interview processes. </li><li>Tedious negotiation phases.</li><li>Ambiguity about project quality.</li><li>Getting entangled in unsatisfactory work cultures.</li><li>Wavering job security.</li></ul>What are we looking for ?Actively seeking experienced senior developers in #Spark and #Kafka who are open to working in the PST timezone. Ideal candidates should possess a minimum of 6 years of hands-on experience with Spark, Kafka, #java, Postgres, and a track record of successfully delivering 3-4 Spark projects. ﻿<h4>Experience Level</h4>Senior Level

BI Reporting Analyst-3, GFO Ops Reporting & Analytics - CAO hiringQualifications &amp; Previous Experience (This is a reporting analyst (IC3) role!!)<ul><li>Candidate should have min of 7 to 10 years of overall work experience and at least 3-4 years of BI reporting &amp; operations experience is must!</li><li>Should have complete excel related knowledge such as doing complex look up functions; execution of macros to handle data blending options  </li><li>Should have experience is handling executive ops reporting tasks (Impact Analysis, Provide data Insights, Help decision making via data) </li><li>Should be aware of Cloud BI applications (Mandatory) (such as Oracle BI, OACS Analytics Cloud, Apex Tools, Data Visualization)</li><li>Additional thirdparty BI tools knowledge is an added advantage such as power BI, Alteryx, other data viz tools etc..</li><li>Project management skills (skilled) and ability to lead projects independently</li><li>Candidate should have exposure working using various AI tools (Preferred).</li><li>UAT skills are added advantage (user acceptance testing)</li><li>Should have strong verbal &amp; written communication</li></ul>Knowledge and Experience Essential<ul><li>Strong understanding of Data, Analytics &amp; Reporting principles, cutting-edge technologies, best practices and market trends.</li><li>Ability to distill customer requests and market needs into an innovative product vision, roadmap and set of themes</li><li>Work with globally distributed, remote, and cross-functional teams.</li><li>Ability to distill customer data and present insights as clear and useful business information</li><li>Familiarity with Agile approaches, design, engineering and testing methodologies</li><li>Ability to proactively engage in continuous process improvement</li><li>Structured problem solving and facilitation approaches</li><li>Ability to listen and communicate clearly with different areas of the business and customers</li><li>Clarity of verbal and written communication to unambiguously define goals and plans</li><li>Experience in B2B / Enterprise markets.</li><li>Ability to manage multiple parallel initiatives and stakeholders</li><li>Ability to work with User Experience teams, and have empathy for good design.</li><li>Ability to work with incomplete information, and comfortable with uncertainty</li></ul>#LI-DNIServe as a liaison with other divisions such as Finance, Contracts, HR, Legal, Shared Services, Accounts Receivable, Purchasing, and Risk Management in an effort to ensure accurate and timely transaction processing. Collect, input, verify, correct, and analyze data to measure key performance indicator actual versus business objectives. Provide updates to management regarding budget to actual, informing them of deviations and opportunities. Provide management with economic impact and compliance issues surrounding key business decisions and/or deals. Communicate Oracle Business Practices to the organization and monitor process and approvals for full compliance. Drive implementation of new processes and procedures.Career Level - IC3As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all.Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing <a href="mailto:accommodation-request_mb@oracle.com" rel="nofollow" target="_blank">accommodation-request_mb@oracle.com</a> or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. <h4>Experience Level</h4>Mid Level

Oracle India Private Limited

Data Analyst

Data Scientist – Generative AI Experience: 10+ yearsNote: Only candidates who can join within 15 days will be considered. Share your CV at <a rel=\"noopener noreferrer\" href=\"mailto:gauri.shah@xoriant.com\" target=\"_blank\">gauri.shah@xoriant.com</a>

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