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Principal Data EngineerJob TitlePrincipal Data Engineer<h4>Summary of the Role</h4>As a Principal Data Engineer, you’ll design and maintain scalable data systems that support analytics and decision-making. You’ll collaborate with cross-functional teams and help shape our data capabilities while supporting others in their growth.<h4>In this role you’ll</h4><ul><li><h4>Design and maintain reliable, scalable data pipelines for both batch and real-time processing.</h4></li><li>Develop and manage ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) workflows using tools such as Apache Spark, Databricks, and Apache Kafka.</li><li>Work closely with data scientists, analysts, and software engineers to build data-driven solutions.</li><li>Support data quality, lineage, and governance across platforms, and improve system performance through tuning and resource management.</li><li>Apply data protection protocols including encryption, access control, and anonymization to ensure data security.</li></ul> <h4>About the Ideal Candidate:</h4><ul><li><h4>Design and implement robust, scalable data pipelines using  Apache Spark, Scala, Kafka, Python and Databricks.  </h4></li><li>Develop and maintain data lakes and warehouses using Delta Lake and SQL</li><li>Implement CI/CD pipelines using Azure, Jenkins</li><li>Should be handson on Python / Scala</li><li>Support analytics and reporting platforms such as Power BI, Qlik Sense, and Kibana.  </li></ul>Diversity &amp; InclusionAmadeus aspires to be a leader in Diversity, Equity and Inclusion in the tech industry, enabling every employee to reach their full potential by fostering a culture of belonging and fair treatment, attracting the best talent from all backgrounds, and as a role model for an inclusive employee experience.  Amadeus is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to gender, race, ethnicity, sexual orientation, age, beliefs, disability or any other characteristics protected by law.

Amadeus India Pvt Ltd

Data Engineer

Senior Data Scientist ISenior Data Scientist IAre you interested in working with data Engineers and analytics to solve problems?  Are you interested in bringing and building up your NLP and (gen) AI expertise to projects?About our team: In RDP, we are describing the world of scientific research as accurately as possible by profiling a wide range of entities, from People and Organizations to research artefacts such as Publications and Grants all the way to topics and concepts that characterize what research is about. Our entity-linking and disambiguation systems integrate data from a diverse set of sources that include millions of research articles to demonstrate market leading performance. The RDP team is large, full of talented people, and highly cross-functional and collaborative: As a data scientist, you will be working together with software engineers, analysts, product managers, and architects on selected areas of focus, and be part of the wider RDP Data Science team. About the Role: As a Data Scientist for the source domain, your focus will be on improving the quality of our links between sources (e.g scientific journals) and works (e.g. articles in scientific journals) as well as source entity extraction. You will work closely with our engineers, architects, product managers and other data scientists within the Sources domain to continually improve Sources systems and your base data will be millions of scientific publications. With data quality being vital to Elsevier’s success, there is a strong focus on measuring and improving data quality and coverage. At the same time, the increasingly large volumes of data from increasingly diverse sources requires you to maintain and develop systems and models that scale well. We tackle some of the hardest data science challenges to solve pressing customer needs and we are looking for a talented, enthusiastic, and collaborative colleague to join our ranks. Responsibilities:-<ul><li>You are passionate about the possibilities of creating value for customers by interconnecting data and improving the quality and richness of data at scale. </li></ul><ul><li>You like to work with others as part of a multidisciplinary team to achieve a common goal, and you are eager to contribute and put your ideas across. </li></ul><ul><li>Wiling to learn new things and come up with practical solutions to technical challenges. </li></ul><ul><li>An interest in the data you’re working with. Our data is largely text based. </li></ul>Requirements:<ul><li>Hands-on experience developing (components of) large scale data science solutions. </li></ul><ul><li>Preferably, a formal qualification in computer science, computational linguistics, data science, machine learning, or other quantitative disciplines. </li></ul><ul><li>Demonstrable coding skills in Python. </li></ul><ul><li>Knowledge of applying machine learning techniques. </li></ul><ul><li>Experience working with data in files (e.g. csv or parquet) </li></ul><ul><li>An understanding of statistics for the purpose of quantitative analysis. </li></ul><ul><li>Experience with Databricks and/or Spark or Pandas </li></ul><ul><li>Familiarity with tools such as Git or Jira </li></ul><ul><li>Familiarity with agile methodologies </li></ul><ul><li>Experience with NLP. </li></ul><ul><li>Experience with databases </li></ul>Work in a Way That Works for You: We promote a healthy work/life balance and provide various well-being initiatives, shared parental leave, study assistance, and sabbaticals to help you meet both your immediate responsibilities and long-term goals. Working for You: We offer comprehensive benefits to support your health and well-being, including: <ul><li>Health insurance for you and your family. </li><li>Enhanced health insurance options at competitive rates. </li><li>Group life insurance for financial security. </li><li>Group accident insurance for protection against accidental death and permanent disability. </li><li>Flexible working arrangements for work-life balance. </li><li>Employee assistance programs for personal and work-related support. </li><li>Medical screenings prioritize your well-being. </li><li>Modern family benefits, including maternity, paternity, and adoption support. </li><li>Long-service awards to recognize dedication. </li><li>New baby gifts to celebrate parenthood. </li><li>Subsidized meals at specific locations. </li><li>Various paid time-off options, including casual leave, sick leave, privilege leave, compassionate leave, special sick leave, and public holidays. </li><li>Free transportation for home-office-home travel in select locations. </li></ul>About Business: We are a global leader in information and analytics, helping researchers and healthcare professionals advance science and improve health outcomes. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science, research, health education, interactive learning, and exceptional healthcare and clinical practice. At Elsevier, your work contributes to addressing the world's grand challenges and creating a more sustainable future. We harness innovative technologies to support science and healthcare, partnering for a better world.  We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our <a href="https://nam11.safelinks.protection.outlook.com/?url=https%3A%2F%2Fforms.office.com%2Fr%2FeVgFxjLmAK&amp;data=05%7C02%7CSharon.Martin%40lexisnexis.com%7C2104edc7df90474aaf1108dd8cccf948%7C9274ee3f94254109a27f9fb15c10675d%7C0%7C0%7C638821534169028029%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&amp;sdata=2Dm7y%2B%2Flckb5oqa13cjE0WAV1kG%2BuqVQDi4dpvwoM5E%3D&amp;reserved=0" rel="noopener noreferrer" target="_blank">Applicant Request Support Form</a> or please contact 1-855-833-5120.Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. 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Elsevier

Data Scientist

Senior Data Scientist I<a name="_Hlk190363855">About Chubb</a>Chubb is a world leader in insurance. With operations in 54 countries and territories, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. The company is defined by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength and local operations globally. Parent company Chubb Limited is listed on the New York Stock Exchange (NYSE: CB) and is a component of the S&amp;P 500 index. Chubb employs approximately 43,000 people worldwide. Additional information can be found at: <a href="http://www.chubb.com">www.chubb.com</a>.<a name="_Hlk185614897">About Chubb India</a>At Chubb India, we are on an exciting journey of digital transformation driven by a commitment to engineering excellence and analytics. We are proud to share that we have been officially certified as a Great Place to Work® for the third consecutive year, a reflection of the culture at Chubb where we believe in fostering an environment where everyone can thrive, innovate, and grow.With a team of over 2500 talented professionals, we encourage a start-up mindset that promotes collaboration, diverse perspectives, and a solution-driven attitude. We are dedicated to building expertise in engineering, analytics, and automation, empowering our teams to excel in a dynamic digital landscape.We offer an environment where you will be part of an organization that is dedicated to solving real-world challenges in the insurance industry. Together, we will work to shape the future through innovation and continuous learning.Position Details:<ul><li>Function/Department: Advanced Analytics</li><li>Location: Bangalore, India</li><li>Employment Type: Full-time</li><li>Role Overview – Full stack Data Scientist</li></ul>We are seeking a full stack data scientist in Advanced Analytics team, who will be at the foreftont of developing new innovative data driven solutions with bleeding edge machine learning and AI solution end to end. AIML Data Scientist is a technical job that uses AI &amp; machine learning techniques to automate underwriting processes, improve claims outcomes and/or risk solutions. This person will develop vibrant data science solutions which require data engineering, AlML algorithms and Ops engineering skills to develop and deploy it for the business. Ideal candidate for this role is someone with a strong education in computer science, data science, statistics, applied math or a related field, and who is eager to tackle problems with innovative thinking without compromising detail business insights. You are adept at solving diverse problems by utilizing a variety of different tools, strategies, machine learning techniques, algorithms and programming languages. Major Responsibilities:<ul><li>Work with business partners globally, determine analyses to be performed, manage deliverables against timelines, present of results and implement the model.</li><li>Use broad spectrum of Machine Learning, text and image AI models to extract impactful features from structured/unstructured data. </li><li>Develop and implement models that help with automating, getting insights, make smart decisions; Ensure that the model is able to meet the desired KPIs post-production.</li><li>Develop and deploy scalable and efficient machine learning models.</li><li>Package and publish codes and solutions in reusable format python package format- (Pypi, Scikit-learn pipeline,..)</li><li>Keep the code ready for seamless building of CI/CD pipelines and workflows for machine learning applications.</li><li>Ensure high quality code that meets business objectives, quality standards and secure web development guidelines.</li><li>Building reusable tools to streamline the modeling pipeline and sharing knowledge</li><li>Build real-time monitoring and alerting systems for machine learning systems.</li><li>Develop and maintain automated testing and validation infrastructure.</li><li>Troubleshoot pipelines across multiple touchpoints like CI Server, Artifact storage and Deployment cluster.</li><li>Implement best practices for versioning, monitoring and reusability.</li></ul><ul><li>Sound understanding of ML concepts, Supervised / Unsupervised Learning, Ensemble Techniques, Hyperparameter Good knowledge of Random Forest, XGBoost, SVM, Clustering, building data pipelines in Azure/Databricks, deep learning models, OpenCV, Bert and new transformer models for NLU, LLM application in ML</li><li>Strong experience with Azure cloud computing and containerization technologies (like Docker, Kubernetes).</li><li>4-6 years of experience in delivery end to end data science models. </li><li>Experience with Python/OOPs programming languages and data science frameworks like (Pandas, Numpy, TensorFlow, Keras, PyTorch, sklearn).</li><li>Knowledge of DevOps tools such as Git, Jenkins, Sonar, Nexus is must.</li><li>Building python wheels and debugging build process.</li><li>Data pipeline building and debugging (by creating and following log traces).</li><li>Basic knowledge of DevOps practices.</li><li>Concepts of Unit Testing and Test-Driven development.</li><li>SDE skills like OOP and Functional programming are an added advantage.</li><li>Experience with Databricks and its ecosystem is an added advantage.</li><li>analytics/statistics/mathematics or related domain.</li></ul>Why Chubb?Join Chubb to be part of a leading global insurance company!Our constant focus on employee experience along with a start-up-like culture empowers you to achieve impactful results.<ul><li>Industry leader: Chubb is a world leader in the insurance industry, powered by underwriting and engineering excellence</li><li>A Great Place to work: Chubb India has been recognized as a Great Place to Work® for the years 2023-2024 and 2024-2025</li><li>Laser focus on excellence: At Chubb we pride ourselves on our culture of greatness where excellence is a mindset and a way of being. We constantly seek new and innovative ways to excel at work and deliver outstanding results</li><li>Start-Up Culture: Embracing the spirit of a start-up, our focus on speed and agility enables us to respond swiftly to market requirements, while a culture of ownership empowers employees to drive results that matter</li><li>Growth and success: As we continue to grow, we are steadfast in our commitment to provide our employees with the best work experience, enabling them to advance their careers in a conducive environment</li></ul>Employee BenefitsOur company offers a comprehensive benefits package designed to support our employees’ health, well-being, and professional growth. Employees enjoy flexible work options, generous paid time off, and robust health coverage, including treatment for dental and vision related requirements. We invest in the future of our employees through continuous learning opportunities and career advancement programs, while fostering a supportive and inclusive work environment. Our benefits include:<ul><li>Savings and Investment plans: We provide specialized benefits like Corporate NPS (National Pension Scheme), Employee Stock Purchase Plan (ESPP), Long-Term Incentive Plan (LTIP), Retiral Benefits and Car Lease that help employees optimally plan their finances</li><li>Upskilling and career growth opportunities: With a focus on continuous learning, we offer customized programs that support upskilling like Education Reimbursement Programs, Certification programs and access to global learning programs.</li><li>Health and Welfare Benefits: We care about our employees’ well-being in and out of work and have benefits like Hybrid Work Environment, Employee Assistance Program (EAP), Yearly Free Health campaigns and comprehensive Insurance benefits.</li></ul>Join UsWith you Chubb is better. Whether you are solving challenges on a global stage or creating innovative solutions for local markets, your contributions will help shape the future. If you value integrity, innovation, and inclusion, and are ready to make a difference, we invite you to be part of Chubb India’s journey.Apply Now: Chubb India Career page<h4>Experience Level</h4>Senior Level

Chubb Group

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

Sr Technical Lead-Data Engg<h4>Area(s) of responsibility</h4>Python Coder:Overall experience 9-12 yrs.<ul type="disc"><li>Develop and maintain Python-based applications and scripts to support AI and automation initiatives.</li><li>Collaborate with team members to integrate code with other systems and tools.</li><li>Troubleshoot, optimize, and document code for reliability and scalability.</li></ul><h4>Experience Level</h4>Senior Level

Birlasoft Limited

Senior Software Automation Engineer

Lead Data Scientist-Operations ResearchAbout Us:As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers.Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful.Overview about TIIAt Target, we have a timeless purpose and a proven strategy. And that hasn’t happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target’s global team and has more than 4,000 team members supporting the company’s global strategy and operations.Pyramid overviewA role with Target Data Science &amp; Engineering means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams, you’ll be challenged to harness Target’s impressive data breadth to build the algorithms that power solutions our partners in Marketing, Supply Chain Optimization, Network Security and Personalization rely on.About You<ul><li>Bachelor’s/Master’s/PhD in Mathematics, Statistics, Operations Research, Industrial Engineering, Computer Science, or a related quantitative field.</li><li>6+ years of direct, hands-on experience building optimization models (e.g., linear, mixed-integer, network flow, or combinatorial).</li><li>Strong proficiency in Python and Spark for developing and deploying optimization-based solutions.</li><li>Solid understanding of operations research techniques and their application in real-world business problems.</li><li>Experience building large scale optimization models/ ability to build models with smart heuristic solutions</li><li>Demonstrated experience working on end-to-end solution delivery, preferably with production-grade implementation.</li><li>Strong verbal and written communication skills: able to translate technical detail into business insight, and vice versa.</li><li>Strong analytical thinking, data transformation, and problem-solving ability, especially under ambiguity.</li><li>Team player with the ability to collaborate effectively across cross-functional, geographically distributed teams.</li></ul>Preferred Experience:<ul><li>Familiarity with supply chain data and business processes.</li><li>Experience working with large datasets.</li><li>Experience deploying solutions at scale for business impact.</li><li>Background in clean code practices, version control (Git), and collaborative development environments.</li></ul>Know More About Us here:<ul><li>Life at Target- <a href="https://india.target.com/" rel="noopener noreferrer" target="_blank">https://india.target.com/</a></li><li>Benefits- <a href="https://india.target.com/life-at-target/workplace/benefits" rel="noopener noreferrer" target="_blank">https://india.target.com/life-at-target/workplace/benefits</a></li><li>Culture- <a href="https://india.target.com/life-at-target/belonging" rel="noopener noreferrer" target="_blank">https://india.target.com/life-at-target/belonging</a></li></ul><h4>Experience Level</h4>Senior Level

Target Corporation India Pvt Ltd

Business Data Analyst

Data Science ManagerWho We AreAt Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities. The RoleAs a Data Scientist at Kyndryl you are the bridge between business problems and innovative solutions, using a powerful blend of well-defined methodologies, statistics, mathematics, domain expertise, consulting, and software engineering. You'll wear many hats, and each day will present a new puzzle to solve, a new challenge to conquer. You will dive deep into the heart of our business, understanding its objectives and requirements – viewing them through the lens of business acumen, and converting this knowledge into a data problem. You’ll collect and explore data, seeking underlying patterns and initial insights that will guide the creation of hypotheses. In this role, you will embark on a transformative process of business understanding, data understanding, and data preparation. Utilizing statistical and mathematical modeling techniques, you'll have the opportunity to create models that defy convention – models that hold the key to solving intricate business challenges. With an acute eye for accuracy and generalization, you'll evaluate these models to ensure they not only solve business problems but do so optimally. Additionally, you're not just building and validating models – you’re deploying them as code to applications and processes, ensuring that the model(s) you've selected sustains its business value throughout its lifecycle. Your expertise doesn't stop at data; you'll become intimately familiar with our business processes and have the ability to navigate their complexities, identifying issues and crafting solutions that drive meaningful change in these domains. You will develop and apply standards and policies that protect our organization's most valuable asset – ensuring that data is secure, private, accurate, available, and, most importantly, usable. Your mastery extends to data management, migration, strategy, change management, and policy and regulation. If you're ready to embrace the power of data to transform our business and embark on an epic data adventure, then join us at Kyndryl. Together, let's redefine what's possible and unleash your potential. Your Future at Kyndryl Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won’t find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here. Who You AreWho You Are You’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others. Required Skills and Experience •12+ years in IT , Knowledge of modeling tools and programming languages, e.g., Azure ML, Vortex AI AutoML, SageMaker, or Python •Excellent problem-solving, analytical, and critical thinking skills •Communication and presentation skills, with the ability to convey complex data insights to both technical and non-technical audiences •Ability to manage multiple projects simultaneously, while maintaining a high level of attention to detail Preferred Skills and Experience •Degree in a quantitative discipline, such as mathematics, statistics, computer science, or mechanical engineering •Professional certification, e.g., Open Certified Data Scientist •Cloud platform certification, e.g., AWS Certified Machine Learning – Specialty, Google Cloud Professional Machine Learning Engineer, or Microsoft Certified: Azure Data Scientist Associate •Understanding of social coding and Integrated Development Environments, e.g., GitHub and Visual Studio •Experience in at least one domain, e.g., cybersecurity, IT service management, financial services, or health care Being YouDiversity is a whole lot more than what we look like or where we come from, it’s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we’re not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you – and everyone next to you – the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That’s the Kyndryl Way. What You Can ExpectWith state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter – wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations.  At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed.Get Referred! If you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact's Kyndryl email address.

Kyndryl Solutions Private Limited

Lead Data Engineer (Ab Initio, ETL, Redshift, AWS, Data warehousing)About GlobalFoundriesGlobalFoundries is a leading full-service semiconductor foundry providing a unique combination of design, development, and fabrication services to some of the world’s most inspired technology companies. With a global manufacturing footprint spanning three continents, GlobalFoundries makes possible the technologies and systems that transform industries and give customers the power to shape their markets. For more information, visit <a href="http://www.gf.com/" rel="noopener noreferrer" target="_blank">www.gf.com</a>.Introduction:               The Data Solutions Group is responsible for integrating manufacturing and engineering data out of a high variety of source systems used in the semiconductor engineering and production process. The data warehouse solutions are used in the GLOBALFOUNDRIES Fabs in Dresden, in the US and in Singapore, and the Data Solutions Group is responsible to conceptualize and provide timely, high-quality solutions that address analysis needs of engineers in a leading-edge semiconductor foundryYour Job:  Professional with strong technical solution design, builds, and maintains data infrastructure and systems responsible for managing and optimizing data pipelines, ensuring data quality, and implementing data management strategies.  Working closely with the Data Product Design team, translating the design requirement into a viable technical data product.Responsibilities include: <ul><li>Leading projects: Working on complex, cross-functional projects, and acting as a subject matter expert </li><li>Building data Solution: Creating secure, stable, and scalable data pipelines, managing analytics platforms </li><li>Design Standards and Framework: Provides appropriate consulting, interfacing, standards and framework for data pipelines, </li><li>Advising Junior Data Engineers: Providing guidance to the fellow data engineers, operations support and implementation partners and making recommendations </li><li>Evaluating access control: Evaluating and reporting on access control processes to determine data asset security </li><li>Developing documentation: Creating technical documentation that supports best practices </li></ul>Required Qualification:<ul><li>Experience in preparing Data warehouse design artifacts based on given requirements – Defining Standards, Building Frameworks, and Source-Target Mapping</li><li>Strong analytical and data modeling skills including logical and physical schema design</li><li>Deep understanding of database technology and data use within analytic platforms </li><li>Strong programming skills with SQL and PySpark, </li><li>Experience with AWS cloud Services including EMR, Redshift/Postgres</li><li>Experience in other Cloud / ETL technologies including Databricks, Snowflakes, Ab Initio</li><li>Good Understanding of other programming languages Python, Java</li><li>Proven experience with large, complex database projects in environments producing high-volume data </li><li>Demonstrated Problem solving skills; familiarity with various root cause analysis methods; experience in documenting identified problems and determined resolutions.</li><li>Experience in analyzing Performance Issues analysis and Tuning</li></ul>Preferred Qualifications:<ul><li>Master’s degree in information technology, Electrical Engineering or similar relevant fields.</li><li>Proven experience (10 years minimum) with Datawarehouse design, build performance tuning and optimization</li><li>Very good knowledge of data warehouse architecture approaches and trends, and high interest to apply and further develop that knowledge, including understanding of Dimensional Modelling and ERD design approaches,</li><li>Experience in developing streaming applications Spark Streaming, Flink, Storm, etc.</li><li>Excellent conceptual abilities compared with very good technical documentation skills, e.g. ability to understand and document complex data flows as part of business / production processes,</li><li>Familiarity with SDLC concepts and processes</li></ul>Additional Skill:<ul><li>Experience in semiconductor / High Tech Manufacturing industry</li><li>Experience with reporting data solutions and business intelligence tools</li><li>Knowledge of statistical data analysis and data mining</li><li>Experience in test management, test case definition and test processes</li></ul>GlobalFoundries is an equal opportunity employer, cultivating a diverse and inclusive workforce. We believe having a multicultural workplace enhances productivity, efficiency and innovation whilst our employees feel truly respected, valued and heard.As an affirmative employer, all qualified applicants are considered for employment regardless of age, ethnicity, marital status, citizenship, race, religion, political affiliation, gender, sexual orientation and medical and/or physical abilities.All offers of employment with GlobalFoundries are conditioned upon the successful completion of background checks, medical screenings as applicable and subject to the respective local laws and regulations.To ensure that we maintain a safe and healthy workplace for our GlobalFoundries employees, please note that offered candidates who have applied for jobs in India will have to be fully vaccinated prior to their targeted start date. For new hires, the appointment is contingent upon the provision of a copy of their COVID-19vaccination document, subject to any written request for medical or religious accommodation.Information about our benefits you can find here: <a href="https://gf.com/about-us/careers/opportunities-asia" rel="noopener noreferrer" target="_blank">https://gf.com/about-us/careers/opportunities-asia</a> <h4>Experience Level</h4>Senior Level

Globalfoundries Engineering Private Limited

Senior AI Engineering ManagerJob Characteristics:Demonstrates ability to extensively use and apply data science principles, methods, theories, and concepts to assignments where precedents may not exist. Demonstrates working knowledge and interconnectivity of other related disciplines. Provides solutions to a wide range of difficult problems through design and execution of data science research. Demonstrates ability and initiative to identify, experiment and collaborate on novel approaches to data science solutions. Makes significant contributions to the exploration, refinement and deployment of data science solutions.Education/Work Experience:Degree or advanced degree in data science, mathematics, statistics, computer science or related field. BS and 8-10 years related experience or MS and 5 years related experience or PhD and less than 2 years experience.Independence level/Reports to:Provides basic leadership and individually contributes to key data science projects/experiments of moderate scope and complexity with high impact on the business. Acts with considerable latitude in determining technical approach required to meet desired objectives. Normally reports to Director, Data Science Manager, or senior technical leader.<h4>Experience Level</h4>Senior Level

Ecolab Food Safety & Hygiene Solutions Private Limited

Chapter Lead CDAO Decision Science TechOrganization: At CommBank, we never lose sight of the role we play in other people’s financial wellbeing. Our focus is to help people and businesses move forward to progress. To make the right financial decisions and achieve their dreams, targets, and aspirations. Regardless of where you work within our organisation, your initiative, talent, ideas, and energy all contribute to the impact that we can make with our work. Together we can achieve great things.Job Title:  Chapter Lead CDAO Decision Science TechLocation: BangaloreBusiness &amp; Team:Retail Banking Services (RBS) is the public face of CommBank, delivering a seamless banking experience for the future, to more than 10 million individuals and small businesses. We offer market-leading products and services, supported by some of the world’s best systems and processes.Impact &amp; contribution:As a Chapter Lead CDAO Decision Science, you will play a key role in the design, development, and deployment of state-of-the-art AI models in different areas in Retail Banking. In this role you will lead and mentor a team of talented data scientists to deliver high quality solutions leveraging machine learning, statistical modelling, and generative AI. You will also be supporting the uplift of AI capability across the group, empowering teams to deliver best outcomes for our customers and business. This role involves close collaboration with stakeholders, product owners, engineers, and other teams to develop and implement best in class AI solutions supporting group strategy.Roles &amp; Responsibilities:You will be responsible for the development and management of key modelling assets within the team, with an objective to foster a team vision and approach that utilises state of the art data science and statistical techniques. You will be expected to drive higher quality/ efficient use of data through continuous process improvements. <ul><li>Lead and drive data science projects independently, owning the end-to-end process from data collection to model deployment. Apply advanced statistical and predictive modelling techniques to build, maintain, and improve multiple decision systems.</li><li>Lead, mentor and guide junior data scientists in the team to deliver projects and outcomes for the business.</li><li>Ability to write well designed, modular and optimized code.</li><li>Work with technical experts to lead their teams and work towards the best solutions for the development of AI.</li><li>Collaborate with stakeholders to identify opportunities to drive value with AI solutions. Partner with business and cross-functional teams to drive the development and integration of best-in-class AI solutions. </li><li>Present complex results to senior business and non-technical stakeholders, translating AI solutions into actionable business strategies.</li><li>Drive innovation by defining and owning capability uplift roadmaps to deliver excellence across data science and decision science across the group.</li><li>Strongly support the adoption of data science across the organization. Contribute to the strategic planning and direction of data science initiatives within the organisation.</li><li>Stay abreast of emerging technologies and industry trends, continuously enhancing expertise in data science methodologies and tools.</li><li>Be customer obsessed, with a keen eye to understand the why and the what that impacts customers, and who are excited by the prospect of what exceptional customer service can mean and look like in a leading Australian bank.</li><li>Strong problem solving and critical thinking skills.</li><li>Curious, fast learning capability and team player attitude is a must.</li><li>Ability to communicate clearly and effectively.</li><li>Demonstrated expertise through blogposts, research, participation in competitions, speaking opportunities, patents and paper publications.</li><li>Most importantly - ability to identify and translate theories into real applications to solve practical problems.</li></ul>Essential Skills: <ul><li>More than 12 years of relevant experience in Data Science.  </li><li>Strong hands-on programming experience in Python (mandatory), R, SQL, Hive and Spark. Knowledge of H2O.ai, GitHub, Big Data and ML Engineering.</li><li>Knowledge of commonly used data structures and algorithms.</li><li>Solid foundation of Statistics and core ML algorithms at a mathematical (under the hood) level.</li><li>Knowledge of Time Series, NLP and Deep Learning and Generative AI is preferred.</li><li>Must have been part of projects building and deploying predictive models in production (financial services domain preferred) involving large and complex data sets.</li><li>Understanding of principles of software engineering (source control, Agile/ scrum/ sprint).</li><li>Excellent communication and interpersonal skills, with ability to effectively collaborate with cross-functional teams and influence decision making at all levels of organization.</li></ul>Preferred Skills:<ul><li>Knowledge of Snowflake, AWS, Azure etc.</li><li>Knowledge and hands-on experience in developing solutions with Large Language Models.</li><li>Experience in Data Science in Sales and Marketing, Campaign Analytics, Ecommerce Retail or banking products for retail or business banking is preferred.</li><li>Built and deployed large scale software applications.</li><li>Proven track record of successfully leading data science initiatives from inception to execution, delivering tangible business results.</li><li>Strong business acumen and ability to translate complex technical solutions into actionable insights for non-technical stakeholders.</li></ul>Education Qualification : Bachelor’s degree or Master’s degree in Engineering in Computer Science/Information Technology.If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through <a href="https://sidekick.hr.cba" rel="noopener noreferrer" target="_blank">Sidekick</a> to submit a valid application. We’re keen to support you with the next step in your career.We're aware of some accessibility issues on this site, particularly for screen reader users. We want to make finding your dream job as easy as possible, so if you require additional support please contact HR Direct on 1800 989 696.Advertising End Date: 09/11/2025<h4>Experience Level</h4>Senior Level

Commonwealth Bank of Australia

QA / QC Manager

Data AnalystJob Title: Data Analyst Key Responsibilities: Write and optimize complex SQL queries for data extraction, transformation, and reporting. Leverage advanced Python (Pandas, NumPy, etc.) for data analysis, automation, and building scalable scripts. Work extensively with Google Sheets for reporting, dashboards, and collaboration with business teams. Analyze large datasets, identify patterns, and provide actionable insights to support decision-making. Collaborate with cross-functional teams to solve business problems using data-driven approaches. Present findings clearly and concisely to both technical and non-technical stakeholders. Required Skills: Strong proficiency in SQL (joins, CTEs, window functions, optimization). Hands-on expertise in advanced Python for data wrangling, automation, and analysis. Good working knowledge of Google Sheets (functions, pivot tables, lookups; scripting is a plus). Excellent problem-solving ability with an analytical and structured approach. Decent communication skills to collaborate effectively with team members and stakeholders. Good to Have: Experience with data visualization tools (Tableau, Looker, Power BI). Exposure to cloud platforms (AWS, GCP, or Azure). Knowledge of version control (Git). <h4>Experience Level</h4>Mid Level

Indium Software India

Data Analyst

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

AVEVA

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

Connect Coach - Data Scientist Associate Sr.You thrive on diversity and creativity, and we welcome individuals who share our vision of making a lasting impact. Your unique combination of design thinking and experience will help us achieve new heights. As a Data Scientist Associate at JPMorgan Chase within the Asset &amp; Wealth Management, you are part of an agile team that works to enhance, design, and deliver the data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. As an emerging member of a data engineering team, you execute data solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role. Job responsibilities <ul><li>Collaborates with all of JPMorgan’s lines of business and functions to delivery software solutions. </li><li>Experiments, develop and productionize high quality machine learning models, services and platforms to make huge technology and business impact. </li><li>Designs and implement highly scalable and reliable data processing pipelines and perform analysis and insights to drive and optimize business result. </li><li>Adds to team culture of diversity, opportunity, inclusion, and respect</li></ul> Required qualifications, capabilities, and skills <ul><li>Formal training or certification on Data Science concepts and 2+ years applied experience</li><li>Solid programming skills with Python/Java or other equivalent languages. </li><li>Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics. </li><li>Expert in at least one of the following areas: Natural Language Processing, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. </li><li>Knowledge of machine learning frameworks: Tensorflow/Pytorch </li><li>Knowledge of prompt engineering. Experience in ETL data pipelines both batch and real-time data processing, Data warehousing, NoSQL DB, Elastic. </li><li>Cloud Technologies: AWS/GCP/Azure, Kubernetes </li></ul>   <h4>Experience Level</h4>Mid Level

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