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Data Scientist - AI/MLProud to share LSEG in the India is Great Place to Work certified (Jun ’25 – Jun ’26). Learn more about life and purpose of our company directly from India colleagues’ video: <a href="https://www.lseg.com/en/careers/where-we-work/bengaluru-india" rel="noopener noreferrer" target="_blank">Bengaluru, India | Where We Work | LSEG</a>Team Overview Join the Innovation &amp; Intelligence Team within the Data &amp; Analytics Operations function at the London Stock Exchange Group (LSEG). We are a dynamic group of data scientists, engineers, and analysts who deliver impactful automation and AI solutions that enhance operational performance across the organisation.We work in an agile, collaborative environment, partnering closely with Engineering and D&amp;A Operations teams to shape the technology roadmap and drive innovation. Our mission is to accelerate value delivery while building scalable, future-ready capabilities.What You’ll Do As an ML Engineer, you will:<ul><li>Design and implement solutions using AI/ML and other Automation technologies to solve real-world business challenges.</li><li>Collaborate with cross-functional teams to gather requirements and translate them into working prototypes and production-ready tools.</li><li>Build and test Proof of Concepts (POCs) and Minimum Viable Products (MVPs) to validate new ideas and approaches.</li><li>Develop and maintain data pipelines, inference workflows, and other automation components.</li><li>Continuously learn and apply emerging technologies to enhance solution effectiveness.</li><li>Contribute to a culture of innovation, experimentation, and continuous improvement.</li></ul>What We’re Looking For<ul><li>Proven experience in AI/ML solution development, ideally in a fast-paced or enterprise environment.</li><li>Strong programming skills in Python and demonstrated ability to use SQL for complex data tasks.</li><li>Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP).</li><li>Ability to think analytically and solve complex problems with creativity and rigour.</li><li>Excellent communication skills to articulate technical concepts to diverse audiences.</li><li>A proactive mindset and eagerness to learn new tools and techniques.</li></ul>Inclusion and Accessibility LSEG is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. If you require any accommodations during the recruitment process, please let us know—we’re here to support you.Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.Please take a moment to read this <a href="https://www.lseg.com/content/dam/lseg/en_us/documents/policies/lseg-global-candidate-privacy-notice.pdf" rel="noopener noreferrer" target="_blank">privacy notice</a> carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, <a href="https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fprivacyportalde-cdn.onetrust.com%2Fdsarwebform%2F5f7a2da0-bed0-45e8-ac2c-c1f297e2efdc%2F4ae30ef5-8107-4353-a0b5-1bf34dd647f6.html.&amp;data=04%7C01%7Cbhavya.rajesh%40refinitiv.com%7C5998c534e4414d538b5008d96d2cce9f%7C71ad2f6261e244fc9e8586c2827f6de9%7C0%7C0%7C637660862381817886%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&amp;sdata=tsXMrVLiU6mEDSYR3lPSoKobrJfrDcmk34w9RIHdUfI%3D&amp;reserved=0" rel="noopener noreferrer" target="_blank">your rights and how to contact us as a data subject</a>. 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London Stock Exchange Group

Data Scientist

Quant Analytics Senior AssociateJoin us for an exciting opportunity to lead complex analytics deliveries and drive innovation within Customer Identity &amp; Authentication product.As a Quant Analytics  Senior Associate within the Consumer and Community Banking - Customer Identity &amp; Authentication organization, you will be responsible for supporting advanced analytics projects across various operational functions, channels, and products. Your role will be crucial in enhancing customer experience by ensuring the provision of complete insights. Job Responsibilities: <ul><li>Support and lead partnerships with key stakeholders and product groups with strong understanding of business drivers, underlying data, and processes. </li></ul><ul><li>Lead the development, reporting, and visualization of performance metrics and KPIs. Use analytical tools such as trend analysis, segmentation, optimization, and other techniques to improve business function performance. </li></ul><ul><li>Collaborate with the Area Product Owners to formulate quantifiable goals for measurement; advise on strategies and experimentation required to achieve business goals. </li></ul><ul><li>Provide management with self-service tools to explore and report on current trends of key metrics. </li></ul><ul><li>Analyze interactions across a variety of channels to better understand customer journeys, friction points, and program performance. </li></ul><ul><li>Prepare and deliver presentations summarizing sharp insights and conclusions, often for executives, in regularly-scheduled analytics meetings chaired by the analyst in this role. </li></ul><ul><li>Support our team’s current production reporting environment, including answering questions from stakeholders, troubleshooting issues, and enhancing these processes. </li></ul><ul><li>Ensure compliance with established controls and regulatory requirements in all analytics activities. </li></ul><ul><li>Contribute to innovation and creativity within the team by actively proposing new ideas and approaches to improve processes and support effective solutions. </li><li> Mentor junior analysts and continuously explore new areas within the larger team. </li></ul> Required Qualifications, Skills and Capabilities: <ul><li>5+ years of related experience. Bachelor's degree in a quantitative or related field required. </li></ul><ul><li>Proficiency in SQL, Python, Alteryx, AWS, Snowflake and Tableau. </li></ul><ul><li>Excellent strategic thinking and problem-solving abilities. </li></ul><ul><li>Strong project management skills with the ability to manage multiple projects simultaneously. </li></ul><ul><li>Experience delivering analytics solutions following an Agile (Scrum or Kanban) methodology. </li></ul><ul><li>Familiarity with data mining, statistical modeling, machine learning, and other advanced analytics methods. </li></ul><ul><li>Robust data management skills with a focus on ensuring data quality and organization. </li></ul><ul><li>Demonstrated ability to independently make the decisions and judgements necessary to deliver quality analytics solutions. </li></ul><ul><li>Effective communication skills, both written and verbal. </li></ul><ul><li>Strong soft skills, including adaptability, emotional intelligence, and conflict resolution. </li></ul><ul><li>Demonstrated ability to analyze and solve problems, innovate, and think creatively. </li></ul> Preferred Qualifications, Skills and Capabilities<ul><li>Candidates with past Fraud Risk exposure would be preferred</li><li>Candidates should open to use and integrate AI in data to day operations</li></ul>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>Senior Level

JP Morgan Services India Pvt Ltd

Senior Analyst

Quant Analytics Associate - Data & StrategyJoin our dynamic Marketing Growth &amp; Innovation team In this pivotal role, you will have the opportunity to shape and enhance the Card Direct Mail acquisition strategy, promoting growth and innovation within Card Services. This is a unique chance to leverage your skills and make a significant impact in a key business area. As a Quant Analytics -Data &amp; Strategy Associate in the Marketing Growth &amp; Innovation team, you will improve the efficacy of the Card Direct Mail acquisition strategy.Job responsibilities<ul><li>Serve as subject matter expert for the channel, driving the build of new targeting and propensity models and profitably expanding the reach of the channel.</li><li>Collaborate with different teams and stakeholders to help build more predictability in Direct Mail acquisition relative to goals, while developing business planning capabilities.</li><li>Stay up to date on the latest marketing trends and bring innovative, new ideas to the team.</li><li>Demonstrate strong project and time management capabilities.</li><li>Contribute as a team player with excellent presentation skills.</li></ul>Required qualifications, capabilities, and skills<ul><li>4+ years of relevant applied analytics experience </li><li>Experience in Campaign analytics and segmentation. Experience in managing multiple stakeholders in different locations</li><li>Strong business and risk-management acumen with an ability to identify business opportunities, deliver results, and adjust plans as appropriate</li><li>Data analysis skillset with experience using data querying &amp; manipulation tools such as SQL, Python or R and also visualization skills like Tableau</li><li>Experience in using Microsoft Office Products like Excel, Power Point Outstanding oral and written communication skills</li><li>Bachelor’s degree or Masters in a field of high analytical rigor required.</li></ul>Preferred Qualifications, Skills and Capabilities:<ul><li>Astute customer service orientation and previous partner management experience preferred</li><li>Credit card/financial services experience preferred</li></ul>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

Aptitude Specialist

IPB CLIENT SERVICE ANALYTICS - AssociateYou are a strategic thinker passionate about driving solutions in Analytics . You have found the right team.As an Analytics Associate in our Finance team, you will spend each day defining, refining and delivering set goals for our firm. Job responsibilities:<ul><li>Demonstrate advanced programming skills in Python; write complex SQL code and automate processes to source, transform, and analyze data from multiple structured and unstructured sources.</li><li>Apply critical thinking and perform advanced analytics to solve complex, multi-faceted business problems using analytics and visualization platforms such as QlikSense, Tableau, and Alteryx.</li><li>Create and leverage analytical approaches to analyze domain-specific source data, providing accurate conclusions and identifying improvement initiatives.</li><li>Communicate ideas and results to stakeholders and leadership clearly and concisely, showcasing excellent problem-solving abilities.</li><li>Perform advanced quantitative and statistical analysis of large datasets to identify trends, patterns, and correlations for business performance improvement.</li><li>Collaborate with cross-functional teams to identify requirements and develop solutions that meet organizational business needs.</li></ul>Required qualifications, capabilities, and skills<ul><li>6+ years of working experience on analytical tools (Tableau/ Qliksense/  SQL)</li><li>At least 8+ years of exp. with Alteryx/ Python/ databricks to develop ETL pipelines</li><li>Experience building measures and metrics, and developing reporting dashboards </li><li>Strong grasp of big data disciplines, AWS, Agile (scrum) methodologies, and new technologies. Able to communicate effectively with Senior leaders to enable collaboration, decision-making, and transparency.</li><li>Experience in developing standardized solutions for data acquisition, transformation and analysis</li><li>Perform advanced quantitative and statistical analysis of large datasets to identify trends, patterns, and correlations that can be used to improve business performance. </li></ul> Preferred qualifications, capabilities, and skills<ul><li>Ability to drive projects end to end from requirement analysis, development, testing to closure</li></ul>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>Senior Level

Analyst

Logistics Data Transformation DeveloperExperience: 5 8 Years Work Location: Bangalore, India Reports to: Line Manager<h4>Your Role</h4>As a Logistics Data Transformation Developer, you will work on a wide variety of Business Transformation projects. The role would entail:<ul><li>Understanding the business transformation needs and its impact on the SAP ERP data.</li><li>Participating in customer workshops, gathering and analyzing data requirements.</li><li>Defining the data rules and implementation.</li><li>Active engagement in the entire data transformation/migration cycle.</li><li>Ownership of the module aligned to.</li><li>Communication and collaboration with internal and external project teams.</li></ul>Your Profile Ideally in-depth knowledge, and skills in the following:<ul><li>5 to 8+ years of experience in implementation / support projects/</li><li>migration projects in SAP and ability to write basic to medium level ABAP programs.</li><li>Good to have experience in SAP data migration projects.</li><li>Minimum 2+ years of experience working in SAP Logistics (SD/MM/PP &amp; QM) any of these modules</li><li>Good understanding of the master- and transactional data from functional/process perspective.</li><li>Ability to debug the ABAP code, troubleshoot and fix basic code.</li><li>Knowledge of cross functional integration points.</li><li>Very good analytical and communication skills.</li><li>A self-starter and a team player</li></ul>

Pradeepit Global Consulting Private Limited

BI Developer

Celonis ConsultantJob Description · Data Modeling: Develop, maintain, and optimize Celonis data models, ensuring data consistency and performance forprocess mining. Data modeling with Hana Data base and Vertica SQL is expected.· Data Integration: Extract, transform, and load (ETL) data from various sources (e.g., ERP, CRM, databases) into Celonis.· Process Mining: Collaborate with stakeholders to identify critical business processes and translate them into Celonis datamodels for analysis.· Dashboard Development: Build and maintain dashboards in Celonis to provide actionable insights for stakeholders.· Model Development: Create and optimize process models in OCPM to enable process visualization and diagnostics.· Optimization: Enhance performance of data models and analyses through query optimization and efficient data handling.· Overall experience in Celonis : Minimum 5+ years of experience working with Celonis.· Proficiency in SQL and ETL processes.﻿Technical Skills :1. Celonis      5+ Years Mandatory2.ETL            5+ Years Mandatory3.SQL            ﻿5+ Years Mandatory<h4>Experience Level</h4>Senior Level

Consultant

Professional, Statistical AnalysisCalling all innovators – find your future at Fiserv.We’re Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day – quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we’re involved. If you want to make an impact on a global scale, come make a difference at Fiserv.Job TitleProfessional, Statistical AnalysisRequirements:<ul><li>Necessary- Cash Advance/ banking/ Lending business understanding.</li><li>Necessary- Knowledge of market base sizing and portfolio analytics.</li><li>Data Analytics and univariate analytics using Excel, Python.</li><li>A/b testing of prices &amp; strategies, elasticity of demand.</li><li>Good to have- understanding of marketing campaign framework and executions.</li><li>Eagerness to learn new software (like Palantir, Snowflake)</li><li>Excellent communication &amp; Interpersonal skills.</li></ul>Role &amp; Responsibilities:<ul><li>Portfolio Monitoring &amp; reporting.</li><li>Analysis of total addressable market (TAM) and scope analysis.</li><li>Enhancing business rule engine and optimization of credit risk pipeline.</li><li>Ad hoc Campaign analysis and execution on need basis.</li><li>Conduct A/B price testing.</li><li>Maintain elaborate analysis and process documentation, update trackers.</li><li>Work closely with business/product team understand their need and provide the solutions.</li><li>Oversee technical pipeline upgrades by communicating requirements to DevOps team and validating outcomes.</li><li>Publish weekly MIS for Stakeholders summarizing current status of capabilities.</li></ul>Technical Skills:<ul><li>MS Excel (Must Have)</li><li>MS Powerpoint</li><li>SQL</li><li>Python</li><li>PySpark (Good to have)</li><li>PowerBI (Good to have)</li></ul>Thank you for considering employment with Fiserv.  Please:<ul><li>Apply using your legal name</li><li>Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).</li></ul>Our commitment to Diversity and Inclusion:Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law. Note to agencies:Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.Warning about fake job posts:Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.<h4>Experience Level</h4>Senior Level

Fiserv India Pvt Ltd

Research Analyst

ML and LLM Architects - Applied AI DirectorReq ID: 337570 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.We are currently seeking a ML and LLM Architects - Applied AI Director to join our team in Bangalore, Karnātaka (IN-KA), India (IN).Key Responsibilities: •    Fine-tune open-source or proprietary LLMs for domain-specific tasks •    Build classification, scoring, summarization, and anomaly detection models •    Deploy models using MLOps pipelines (model versioning, drift detection, retraining) •    Integrate models into workflows with human-in-the-loop oversight •    Optimize model performance across cloud-native environments Required Skills: •    Strong Python + ML libraries (PyTorch, Hugging Face, Transformers) •    Experience with LLM fine-tuning (LoRA, PEFT, RAG techniques) •    Familiarity with LangChain, vector DBs (Pinecone, FAISS), or similar tools •    Experience in deploying models via Docker/Kubernetes or cloud ML services •    Strong grasp of prompt engineering and AI safety best practicesAbout NTT DATANTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&amp;D to help organizations and society move confidently and sustainably into the digital future. Visit us at <a href="http://us.nttdata.com/en">us.nttdata.com</a>Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, <a href="https://us.nttdata.com/en/contact-us">https://us.nttdata.com/en/contact-us</a>.NTT DATA endeavors to make <a href="https://us.nttdata.com">https://us.nttdata.com</a> accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at <a href="https://us.nttdata.com/en/contact-us">https://us.nttdata.com/en/contact-us</a>. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click <a href="http://us.nttdata.com/en/compliance#eeos">here</a>. If you'd like more information on your EEO rights under the law, please click <a href="http://us.nttdata.com/en/compliance#know-your-rights">here</a>. For Pay Transparency information, please click<a href="http://us.nttdata.com/en/compliance#ppnp"> here</a>.<h4>Experience Level</h4>Senior Level

NTT DATA Global Delivery Services Ltd

Junior Architect

Customer Data Governance & MDM AnalystAVEVA is creating software trusted by over 90% of leading industrial companies.Key Responsibilities<ul><li>Customer Master Data Management<ul><li>Maintain customer master data workflows (create/update) within the MDM ecosystem (Informatica IDQ &amp; MDM).</li><li>Support account hierarchy management to ensure correct relationships and roll-ups.</li><li>Own enrichment of new customer records and ensure completeness of key attributes (ID numbers, industry, geography, address).</li></ul></li><li>Data Quality &amp; Match/Merge<ul><li>Define and monitor data quality rules, metrics, and thresholds.</li><li>Perform regular match &amp; merge validations to eliminate duplicates and maintain a single source of truth.</li><li>Investigate, resolve, and document data quality issues and root causes.</li></ul></li><li>Data Alignment &amp; Process Automation<ul><li>Aligning customer data across core business systems and maintaining consistency.</li><li>Collaborate with IT to automate customer onboarding and updates.</li><li>Ensure application of data standards across systems.</li></ul></li><li>Governance &amp; Stakeholder Collaboration<ul><li>Participate in data governance forums, contribute to policies and best practices.</li><li>Act as a point of contact for customer data-related inquiries and escalations.</li></ul></li><li>Reporting &amp; Monitoring<ul><li>Prepare regular reports on customer data quality and completeness.</li><li>Highlight trends, risks, and opportunities for process improvement.</li></ul></li></ul>Skills &amp; Qualifications<ul><li>Bachelor’s degree in computer science, Information Systems, Data Science, or related field.</li><li>2–5 years of experience in Data Quality, Data Governance, or MDM roles.</li><li>Strong analytical and problem-solving skills with a focus on data accuracy.</li><li>Proficiency in SQL, Excel, and data analysis techniques.</li><li>Familiarity with CRM systems (e.g., Salesforce) preferred.</li><li>Understanding of data governance principles and data management best practices.</li><li>Excellent attention to detail and ability to work with cross-functional teams.</li><li>Strong communication skills to collaborate with stakeholders at all levels.</li><li>Knowledge of data visualization tools (e.g., Power BI) is a plus.</li></ul>India Benefits include:  Gratuity, Medical and accidental insurance, very attractive leave entitlement, emergency leave days, childcare support, maternity, paternity and adoption leaves, education assistance program, home office set up support (for hybrid roles), well-being supportIt’s possible we’re hiring for this position in multiple countries, in which case the above benefits apply to the primary location. Specific benefits vary by country, but our packages are similarly comprehensive.Find out more: aveva.com/en/about/careers/benefits/Hybrid workingBy default, employees are expected to be in their local AVEVA office three days a week, but some positions are fully office-based. Roles supporting particular customers or markets are sometimes remote.Hiring processInterested? Great! Get started by submitting your cover letter and CV through our application portal. AVEVA is committed to recruiting and retaining people with disabilities. Please let us know in advance if you need reasonable support during your application process.Find out more: aveva.com/en/about/careers/hiring-processAbout AVEVAAVEVA is a global leader in industrial software with more than 6,500 employees in over 40 countries. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life – such as energy, infrastructure, chemicals, and minerals – safely, efficiently, and more sustainably.We are committed to embedding sustainability and inclusion into our operations, our culture, and our core business strategy. Learn more about how we are progressing against our ambitious 2030 targets: sustainability-report.aveva.com/Find out more: aveva.com/en/about/careers/AVEVA requires all successful applicants to undergo and pass a drug screening and comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check.  Certain positions dealing with sensitive and/or third-party personal data may involve additional background check criteria.AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business.  AVEVA provides reasonable accommodation to applicants with disabilities where appropriate. If you need reasonable accommodation for any part of the application and hiring process, please notify your recruiter. Determinations on requests for reasonable accommodation will be made on a case-by-case basis.<h4>Experience Level</h4>Mid Level

AVEVA

Customer Advocacy Manager

Commercial Data Intelligence AnalystAVEVA is creating software trusted by over 90% of leading industrial companies.Key Responsibilities<ul><li>Commercial Data Intelligence – Deliver and advance the commercial data strategy to ensure a “single version of the truth” for reporting, analytics, and AI/ML initiatives. Contribute to data warehouse and data lake initiatives to enable advanced analytics and AI-ready datasets.</li><li>Data Engineering Pipelines – Design and maintain ETL/ELT pipelines using Microsoft-based tools (e.g., Data Factory, Synapse, Fabric pipelines), ensuring data quality, integrity, and timeliness. Drive adoption of standardized data infrastructure by replacing non-standard data sources (Excel, manual files, SharePoint) with governed pipelines and curated datasets.</li><li>AI-Ready Data Preparation – Structure, cleanse, and enrich data to make it suitable for machine learning models, predictive analytics, and recommendation engines. Collaborate with data science teams to enable feature engineering and model deployment.</li><li>Data Analysis – Perform deep-dive and ad-hoc analyses, generating actionable insights to address commercial challenges and opportunities, with a focus on improving data pipelines and usability.</li><li>Stakeholder Engagement – Collaborate with senior commercial, sales, and operations leaders to understand requirements, design analytical solutions, and ensure data outputs meet business needs.</li><li>SQL &amp; Data Modelling – Develop, optimize, and maintain complex SQL queries and data models to support scalable analytics and AI workflows.</li><li>Continuous Improvement – Identify and implement opportunities to improve data workflows, streamline manual processes, and enhance the reliability of commercial datasets. Stay current with Microsoft Fabric and cloud data engineering best practices.</li></ul>Skills &amp; Qualifications<ul><li>Bachelor’s degree in data engineering, Computer Science, Information Systems, or a related field.</li><li>3–5 years of experience in data integration, data engineering, or commercial data management roles.</li><li>Strong SQL skills for data extraction, transformation, and validation across large datasets.</li><li>Experience with cloud-based data platforms (Azure Synapse, Microsoft Fabric, Databricks, or similar).</li><li>Knowledge of data modeling concepts (star schema, normalization / denormalization) and ETL best practices.</li><li>Familiarity with Salesforce data structures and other commercial systems is a plus.</li><li>Ability to design AI/ML-ready datasets and support analytics teams in feature engineering.</li><li>Strong problem-solving skills with attention to detail and commitment to data quality.</li></ul>Excellent communication and collaboration skills to work with cross-functional stakeholders.India Benefits include:  Gratuity, Medical and accidental insurance, very attractive leave entitlement, emergency leave days, childcare support, maternity, paternity and adoption leaves, education assistance program, home office set up support (for hybrid roles), well-being supportIt’s possible we’re hiring for this position in multiple countries, in which case the above benefits apply to the primary location. Specific benefits vary by country, but our packages are similarly comprehensive.Find out more: aveva.com/en/about/careers/benefits/Hybrid workingBy default, employees are expected to be in their local AVEVA office three days a week, but some positions are fully office-based. Roles supporting particular customers or markets are sometimes remote.Hiring processInterested? Great! Get started by submitting your cover letter and CV through our application portal. AVEVA is committed to recruiting and retaining people with disabilities. Please let us know in advance if you need reasonable support during your application process.Find out more: aveva.com/en/about/careers/hiring-processAbout AVEVAAVEVA is a global leader in industrial software with more than 6,500 employees in over 40 countries. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life – such as energy, infrastructure, chemicals, and minerals – safely, efficiently, and more sustainably.We are committed to embedding sustainability and inclusion into our operations, our culture, and our core business strategy. Learn more about how we are progressing against our ambitious 2030 targets: sustainability-report.aveva.com/Find out more: aveva.com/en/about/careers/AVEVA requires all successful applicants to undergo and pass a drug screening and comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check.  Certain positions dealing with sensitive and/or third-party personal data may involve additional background check criteria.AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business.  AVEVA provides reasonable accommodation to applicants with disabilities where appropriate. If you need reasonable accommodation for any part of the application and hiring process, please notify your recruiter. Determinations on requests for reasonable accommodation will be made on a case-by-case basis.<h4>Experience Level</h4>Mid Level

Data Analyst

Sr Software Engineer, Data Science<h4>Company Description</h4>LinkedIn was built to help professionals achieve more in their careers, and every day millions of people use our products to make connections, discover opportunities and gain insights. Our global reach means we get to make a direct impact on the world’s workforce in ways no other company can. We’re much more than a digital resume – we transform lives through innovative products and technology.Creating economic opportunities for every member of the global workforce is a responsibility we all share. To truly transform the global economy, we must evolve the way we hire and enable our talent to serve people of all backgrounds and experiences. LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer.<h4>Job Description</h4>This role will be based in Bangalore, India.  At LinkedIn, our approach to flexible work is centred on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.  LinkedIn’s Data Science team leverages big data to empower business decisions. The Trust Data Science team at LinkedIn works in close partnership with the trust engineering, content moderator  and product teams to identify opportunities to develop and enhance LinkedIn member experiences. A few examples include: enabling our trust &amp; security team (content reviewers) to be effective through data driven insights and minimize damage to our members, optimize member account access experience while defending attacks, provide insights to improve feed content quality on site, analyze trust/security features’ performance through product A/B testing, etc.We are now looking for a talented and driven individual to accelerate our efforts and be a major part of our data-centric culture. This person will work closely with product managers, content moderation team, engineers, designers, product marketing, and the trust infrastructure team to develop and deliver tools or data structures that provide actionable recommendations to business partners. Successful candidates will exhibit technical acumen and business savvy, with a passion for making an impact by enabling both producers and consumers of data insight to work smarter.Responsibilities:<ul><li>Work with a team of high-performing analytics, data science professionals, and cross-functional teams to identify business opportunities, optimize product performance or go to market strategy</li><li>Build data expertise, act like an owner for the company and manage complex data systems for a product or a group of products</li><li>Performing all of the necessary data transformations to serve products that empower data-driven decision making</li><li>Establishing efficient design and programming patterns for engineers as well as for non-technical partners</li><li>Designing, integrating and documenting technical components for data flows or applications that perform analysis at a massive scale</li><li>Ensuring best practices and standards in our data ecosystem are shared across teams.</li><li>Understand the analytical objectives to make logical recommendations and drive informed actions</li><li>Engage with internal platform teams to prototype and validate tools developed in-house to derive insight from very large datasets or automate complex algorithms</li><li>Initiate and drive projects to completion with minimal guidance</li><li>Contribute to engineering innovations that fuel LinkedIn’s vision and mission</li></ul><h4>Qualifications</h4><ul><li>Bachelor in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, etc.</li><li>5+ years relevant industry or relevant academia experience working with large amounts of data</li><li>3 + years' experience with SQL/Relational databases</li><li>3 + years' experience with manipulating massive-scale structured and unstructured data.</li><li>Experience with distributed data systems such as Hadoop and related technologies (Spark, Presto, Pig, Hive, etc.).</li><li>Background in at least one programming language (e.g., R, Python, Java, Scala, PHP, JavaScript)</li><li>Experience with data modelling, ETL (Extraction, Transformation &amp; Load) concepts, and patterns for efficient data governance.</li><li>Working knowledge of Unix and Unix-like systems, git and review board.</li></ul><h4>Additional Information</h4>Preferred Qualifications:<ul><li>Masters or Ph.D. degree in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, etc.</li><li>Bachelors with 5+ years or Masters with 3+ years of industry experience</li><li>Experience in developing data pipelines using Spark and Hive</li><li>Experience with either data workflows/modeling, front-end engineering, or back-end engineering</li><li>Experience in either the front-end or back-end development of data-powered applications. Suggested Skills:</li><li>Deep understanding of technical and functional designs for relational and MPP Databases, Reporting and Data Mining systems</li><li>Strong communication skills, with the ability to synthesize, simplify and explain complex problems to different audiences.</li><li>Experience working with databases that power APIs for front-end applications.</li><li>Experience in data visualization and dashboard design including tools such as Tableau, R visualization packages, D3, and other Javascript libraries, etc.</li></ul>India Disability Policy LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_9-12-2023.pdfGlobal Data Privacy Notice for Job Candidates ​Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.<h4>Experience Level</h4>Senior Level

Linkedin Technology Information Pvt Ltd

Software Engineer 1

IN_Senior Associate_Databricks-- Data and Analytics_Advisory_Pan IndiaLine of ServiceAdvisoryIndustry/SectorNot ApplicableSpecialismData, Analytics &amp; AIManagement LevelSenior AssociateJob Description &amp; SummaryAt PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.Why PWCAt PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more <a href="https://www.pwc.in/about-us.html" rel="noopener noreferrer" target="_blank">about us</a>.At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.Responsibilities:We are seeking a talented Data Engineer with strong expertise in Databricks, specifically in Unity Catalog, PySpark, and SQL, to join our data team. You’ll play a key role in building secure, scalable data pipelines and implementing robust data governance strategies using Unity Catalog.Design and implement ETL/ELT pipelines using Databricks and PySpark. Work with Unity Catalog to manage data governance, access controls, lineage, and auditing across data assets. Develop high-performance SQL queries and optimize Spark jobs. Collaborate with data scientists, analysts, and business stakeholders to understand data needs. Ensure data quality and compliance across all stages of the data lifecycle. Implement best practices for data security and lineage within the Databricks ecosystem. Participate in CI/CD, version control, and testing practices for data pipelines. Required Skills:Proven experience with Databricks and Unity Catalog (data permissions, lineage, audits). Strong hands-on skills with PySpark and Spark SQL. Solid experience writing and optimizing complex SQL queries. Familiarity with Delta Lake, data lakehouse architecture, and data partitioning. Experience with cloud platforms like Azure or AWS. Understanding of data governance, RBAC, and data security standards. Preferred Qualifications: Databricks Certified Data Engineer Associate or Professional. Experience with tools like Airflow, Git, Azure Data Factory, or dbt. Exposure to streaming data and real-time processing. Knowledge of DevOps practices for data engineering.Mandatory skill sets:DatabricksPreferred skill sets:DatabricksYears of experience required:7-14 yearsEducation qualification:BE/BTECH, ME/MTECH, MBA, MCAEducation (if blank, degree and/or field of study not specified)Degrees/Field of Study required: MBA (Master of Business Administration), Bachelor of Technology, Bachelor of EngineeringDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)Required SkillsDatabricks PlatformOptional SkillsAccepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 28 more}Desired Languages (If blank, desired languages not specified)Travel RequirementsNot SpecifiedAvailable for Work Visa Sponsorship?NoGovernment Clearance Required?NoJob Posting End Date<h4>Experience Level</h4>Senior Level

PriceWaterhouseCoopers Pvt Ltd ( PWC )

Data Engineer

Machine Learning Engineer II<h4>Overview</h4>Working at AtlassianAtlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.<h4>About JSM</h4><a href="https://www.atlassian.com/software/jira/service-management">Jira Service Management</a> (JSM) empowers Dev and Ops teams to collaborate at high-velocity, so they can respond to business changes and rapidly deliver fantastic service experiences to employees and customers. JSM empowers every team, from IT to HR to Legal, to quickly set up a service desk, continuously adapt to scale needs and deliver outstanding service experiences without the complexity of traditional ITSM solutions. By connecting Dev and Ops, JSM accelerates critical development work, eliminates toil, and tracks changes with ease, with a complete audit trail for every change. In short, it enables high-velocity ITSM.<h4>About the team</h4>Agent AI focuses on improving productivity of agents using AI who are working on resolving requests of help-seekers. There are multiple stages in lifecycle of agents - starting from identifying correct category of ticket to closure of tickets, automating all these stages with intervention of AI to assist agents in every possible way. We have our built-in AI engine that combines model based on NLP as well as generative AI to come up with innovative solutions to support agents in quicker resolution of requests.<h4>Responsibilities</h4>What you'll do<ul><li>5+ years of related industry experience in the ML domain</li><li>Expertise in Python or Java with and the ability to write performant production-quality code, familiarity with SQL, knowledge of Spark and cloud data environments (e.g. AWS, Databricks)</li><li>Experience building and scaling machine learning models in business applications using large amounts of data</li><li>Ability to communicate and explain data science concepts to diverse audiences, craft a compelling story</li><li>Focus on business practicality and the 80/20 rule; very high bar for output quality, but recognize the business benefit of "having something now" vs "perfection sometime in the future"</li><li>Agile development mindset, appreciating the benefit of constant iteration and improvement</li></ul><h4>Qualifications</h4><h4>It's great, but not required, if you have</h4><ul><li>Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space</li><li>Experience in developing deep learning-based models and working on LLM-related applications</li><li>Excelling in solving ambiguous and complex problems, being able to navigate through uncertain situations, breaking down complex challenges into manageable components and developing innovative solutions</li></ul>Benefits &amp; PerksAtlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit <a href="http://go.atlassian.com/perksandbenefits">go.atlassian.com/perksandbenefits</a>.About AtlassianAt Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.To learn more about our culture and hiring process, visit <a href="http://go.atlassian.com/crh">go.atlassian.com/crh</a>.<h4>Experience Level</h4>Mid Level

Atlassian India Llp

Data Annotation Engineer

IN_Senior Associate_ AWS Data Engineer_D&A_Advisory_PAN IndiaLine of ServiceAdvisoryIndustry/SectorNot ApplicableSpecialismData, Analytics &amp; AIManagement LevelSenior AssociateJob Description &amp; SummaryAt PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.Why PWCAt PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more <a href="https://www.pwc.in/about-us.html" rel="noopener noreferrer" target="_blank">about us</a>.At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.Responsibilities:- Design and build data pipelines &amp; Data lakes to automate ingestion of structured and unstructured data that provide fast, optimized, and robust end-to-end solutions - Knowledge about the concepts of data lake and data warehouse - Experience working with AWS big data technologies - Improve the data quality and reliability of data pipelines through monitoring, validation and failure detection. - Deploy and configure components to production environments - Technology: Redshift, S3, AWS Glue, Lambda, SQL, PySpark, SQLMandatory skill sets:AWS Data EngineerPreferred skill sets:AWS Data EngineerYears of experience required:4-8Education qualification:B. Tech/MBA/MCA / M. TecEducation (if blank, degree and/or field of study not specified)Degrees/Field of Study required: Bachelor of Technology, MBA (Master of Business Administration), Bachelor of EngineeringDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)Required SkillsData EngineeringOptional SkillsAccepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 more}Desired Languages (If blank, desired languages not specified)Travel RequirementsAvailable for Work Visa Sponsorship?Government Clearance Required?Job Posting End Date<h4>Experience Level</h4>Senior Level

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