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IN_Associate_ Azure Databricks & Synapse developer _D&A _Advisory _BangaloreLine of ServiceAdvisoryIndustry/SectorNot ApplicableSpecialismData, Analytics &amp; AIManagement LevelAssociateJob Description &amp; SummaryAt PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.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, develop, and maintain scalable data pipelines using Azure data services such as Azure Data Factory and Apache Spark. Implement efficient Extract, Transform, Load (ETL) processes to move and transform data across various sources. Design, develop, and maintain data solutions using Azure Synapse Analytics. Implement data ingestion, transformation, and extraction processes using Azure Synapse Pipelines. Knowledge about data warehousing concepts Utilize Azure SQL Database, Azure Blob Storage, Azure Data Lake Storage, and other Azure data services to store and retrieve data. Performance optimization and troubleshooting capabilities Advanced SQL knowledge, capable to write optimized queries for faster data workflows. Proven work experience in Spark, Python, SQL, Any RDBMS. Experience in designing solutions for multiple large data warehouses with a good understanding of cluster and parallelarchitecture as well as high-scale or distributed RDBMS Must be extremely well versed with handling large volume data and work using different tools to derive the required solution.Mandatory skill sets:· Hands-on experience in ADF, or Synapse Analytics · Proficiency in Python for data processing and scripting. · Strong command over SQL – writing complex queries, performance tuning, etc. · Experience working with Azure Data Lake Storage and Data Warehouse concepts (e.g., dimensional modeling, star/snowflake schemas). · Understanding CI/CD practices in a data engineering context. · Excellent problem-solving and communication skillsmPreferred skill sets:· Experienced in Delta Lake, Power BI, or Azure DevOps. · Knowledge of Databricks will be a plus · Knowledge of Spark, Scala, or other distributed processing frameworks. · Exposure to BI tools like Power BI, Tableau, or Looker. · Familiarity with data security and compliance in the cloud. · Experience in leading a development team.Years of experience required:4 – 7 yrsEducation qualification:Btech/MBA/MCAEducation (if blank, degree and/or field of study not specified)Degrees/Field of Study required: Bachelor of Technology, MBA (Master of Business Administration)Degrees/Field of Study preferred:Certifications (if blank, certifications not specified)Required SkillsDatabricks PlatformOptional SkillsAccepting Feedback, Accepting Feedback, Active Listening, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis, Intellectual Curiosity, Java (Programming Language), Market Development {+ 11 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 )

Senior Developer

Strategic Analytics - AssociateJoin the Consumer and Community Banking Fraud Risk Strategic Analytics team, where you'll have the chance to generate insightful analytics and recommendations for strategy development, implementation, and operational controls. This role offers the opportunity to be part of a team leading the way in providing strategic insights for business decisions in the Cards Business Fraud identification space. You'll be tasked with developing and communicating insights to influence strategic initiatives, using your analytical problem-solving skills and large data sets from various sources. Strong programming skills and excellent communication are essential, as is an understanding of the data repositories, tools, policies, and controls required in the risk reporting and analytics space.As a Associate - Fraud Risk Strategic Analytics in the Consumer and Community Banking Fraud Risk Strategic Analytics team, you will be at the forefront of providing strategic insights to promote business decisions for the Cards Business in Fraud identification space. You will be responsible for developing and communicating meaningful insights to influence strategic initiatives to senior leaders. You will leverage creative analytical problem-solving skills while efficiently using large data sets from a broad range of sources. Your strong programming skills coupled with excellent written and oral communication will be key in this role.Job responsibilities<ul><li>Taking ownership of card acquisitions fraud strategy and ensure clear plan is place to minimize overall fraud application loss </li><li>Monitoring credit card third party fraud risks and fraud attack trends to identify tactical and strategic responses to minimize customer and bank exposure across acquisition channels</li><li>Collaborating with operations, marketing, product, tech, loss line owners, process owners and analytics teams to develop and prioritize initiatives and resources to maximize existing capabilities. </li><li>Escalate potential risks which may result in unacceptable fraud controls and losses</li><li>Provide support, including analysis, to various strategic initiatives outlined by the business and Fraud Strategy leadership</li><li>Perform analysis of current and historic data to keep fraud systems and processes updated</li><li>Conduct periodic high fraud losses case reviews to identify gaps in fraud strategy, case management or make procedural adjustments</li><li>Develop and maintain periodic analytics to provide management with insights into emerging trends and quality of the originated accounts</li><li>Attain a detailed understanding of key performance metrics and profitability drivers, enabling the delivery of insights encompassing the full account lifecycle</li><li>Acquire an understanding of the operational processes (e.g. pre-book, post-book treatment, recovery) which will aid in understanding acquisition performance drivers</li><li>Conduct ad hoc analytics and contribute to various projects representing Risk Management</li></ul>Required qualifications, capabilities, and skills <ul><li>Bachelor's/Master’s degree in a quantitative or business discipline from an accredited college/university required</li><li>Minimum 4 years Risk Management or other quantitative experience required</li><li>Background in statistics, econometric, or other quantitative field required</li><li>Advanced understanding of SQL, SAS, SAS Enterprise Miner, or other decision tree software</li><li>Query large amounts of data and transform the raw data into actionable insights</li><li>Familiarity with risk analytic techniques. </li><li>Strong analytical, interpretive and problem solving skills with the ability to interpret large data and its impact in both operational and financial areas</li><li>Strong written and verbal communication skills and ability to interact with all levels of the organization is required with the ability to storyboard along with the ability to defend storyboard position</li><li>Proficient in Excel &amp; PowerPoint</li></ul>Preferred qualifications, capabilities and skills <ul><li>2 years of experience in Fraud risk role</li><li>Experience with Credit Card Fraud / ID theft</li><li>Strong P&amp;L knowledge and understanding of drivers of profitability</li><li>Demonstrated experience with data analysis, designing &amp; analyzing experiments, and strategy</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

JP Morgan Services India Pvt Ltd

Business Intelligence and Analytics Manager

Data & Analytics Analyst - DAJoin us as a Data &amp; Analytics Analyst<ul><li>This is an opportunity to take on a purpose-led role in a cutting edge Data &amp; Analytics team</li><li>You’ll be consulting with our stakeholders to understand their needs and identify suitable data and analytics solutions to meet them along with business challenges in line with our purpose</li><li>You’ll bring advanced analytics to life through visualisation in a meaningful way for key stakeholders, giving you excellent recognition for your work</li><li>We're offering this role at associate level</li></ul><h4>What you'll do</h4>As a Data &amp; Analytics Analyst, you’ll be using advanced analytics to develop business solutions which increase the understanding of our business, including its customers, processes, channels and products. You’ll be working closely with business stakeholders to define detailed business questions, problems or opportunities which can be supported through advanced analytics, making sure that new and existing processes are designed to be efficient, simple and automated where possible.As well as this, you’ll be:<ul><li>Working in an Agile way within multi-disciplinary data and analytics teams, co-ordinating resources from across the team and the business to achieve agreed project and scrum outcomes</li><li>Delivering data and analytics expertise and solutions, which brings commercial and customer value to business challenges</li><li>Communicating data and analytics opportunities and bringing them to life in a way that business stakeholders can understand and engage with, supporting them to select the best approach for the business needs</li><li>Using new tools, technologies and methodologies to carry out advanced analytics</li><li>Sharing relevant updates with key stakeholders bringing together advanced analytics, data science and data engineering work that is easily understandable and links back clearly to our business needs</li></ul><h4>The skills you'll need</h4>We’re looking for someone with a passion for data and analytics together with knowledge of data architecture, key tooling and relevant coding languages. Along with proficiency in advanced analytics, you’ll bring an ability to simplify data into clear data visualisations and compelling insight using appropriate systems and tooling​. You’ll also have good financial services knowledge, and the ability to identify wider business impact, risk and opportunities, making connections across key outputs and processes.You’ll also demonstrate:<ul><li>At least five years of relevant experience</li><li>Experience in Retail Banking analytics with strong data management principles​</li><li>Proficient in SQL and GitLab for data analysis and collaboration</li><li>Familiarity with remediation processes preferred</li><li>Experience of translating data and insights for key stakeholders ​</li><li>Knowledge of data engineering, data science and decisioning disciplines ​</li><li>Strong communication skills with the ability to engage with a wide range of stakeholders ​</li></ul>Hours45Job Posting Closing Date:23/10/2025<h4>Experience Level</h4>Mid Level

NatWest Group

Data Analyst

Senior Software Engineer, Data Science<h4>Company Description</h4>LinkedIn is the world’s largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters.<h4>Job Description</h4>At LinkedIn, our approach to flexible work is centered 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 and deliver data-driven insights, metrics, and tools in order to drive member engagement, business growth, and monetization efforts. With over 800 million members around the world, a focus on great user experience, and a mix of B2B and B2C programs, LinkedIn offers countless ways for an ambitious data engineer to have an impact and transform your career. 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 various cross-functional teams such as product, marketing, sales, engineering, and operations to develop infrastructure and deliver tools or data structures that enable data-driven decision-making. Successful candidates will exhibit technical acumen and business savviness with a passion for making an impact by enabling both producers and consumers of data insight to work smarter. Responsibilities: - Work with a team of high-performing data science professionals, and cross-functional teams to identify business opportunities and build scalable data solutions. - Build data expertise, act like an owner for the company and manage complex data systems for a product or a group of products. - Perform all of the necessary data transformations to serve products that empower data-driven decision making. - Build and manage data pipelines, design and architect databases. - Establish efficient design and programming patterns for engineers as well as for non-technical partners. - Design, implement, integrate and document performant systems or components for data flows or applications that power analysis at a massive scale. - Ensure best practices and standards in our data ecosystem are shared across teams. - Understand the analytical objectives to make logical recommendations and drive informed actions. - Engage with internal platform teams to prototype and validate tools developed in-house to derive insight from very large datasets or automate complex algorithms. - Be a self-starter, Initiate and drive projects to completion with minimal guidance. - Contribute to engineering innovations that fuel LinkedIn’s vision and mission.<h4>Qualifications</h4>Basic Qualifications: - Bachelor's Degree in a quantitative discipline: Computer science, Statistics, Operations Research, Informatics, Engineering, Applied Mathematics, Economics, etc. - 5+ years of relevant industry or relevant academia experience working with large amounts of data - Experience with SQL/Relational databases - Background in at least one programming languages (e.g., R, Python, Java, Scala, PHP) Preferred Qualifications: - Experience working with large amounts of data - MS or PhD in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, etc. - Experience in developing data pipelines using Spark and Hive. - Experience with data modeling, ETL (Extraction, Transformation &amp; Load) concepts, and patterns for efficient data governance.Experience with manipulating massive-scale structured and unstructured data. - Experience with distributed data systems such as Hadoop and related technologies (Spark, Presto, Pig, Hive, etc.). - Experience with either data workflows/modeling, front-end engineering, or back-end engineering. - Deep understanding of technical and functional designs for relational and MPP Databases - Experience in data visualization and dashboard design including tools such as Tableau, R visualization packages, D3, and other Javascript libraries, etc. - Knowledge of Unix and Unix-like systems, git and review board. Suggested Skills: - Java - Data Pipeline - ETL - Data Manipulation You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.<h4>Additional Information</h4>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

Senior Software Engineer

Staff Software Engineer, Data Science<h4>Company Description</h4>LinkedIn is the world’s largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters.<h4>Job Description</h4>At LinkedIn, our approach to flexible work is centered 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 and deliver data-driven insights, metrics, and tools in order to drive member engagement, business growth, and monetisation efforts. With over 800 million members around the world, a focus on great user experience, and a mix of B2B and B2C programs, LinkedIn offers countless ways for an ambitious data engineer to have an impact and transform your career. 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 various cross-functional teams such as product, marketing, sales, engineering, and operations to develop infrastructure and deliver tools or data structures that enable data-driven decision-making. Successful candidates will exhibit technical acumen and business savviness with a passion for making an impact by enabling both producers and consumers of data insight to work smarter. Responsibilities: - Work with a team of high-performing data science professionals, and cross-functional teams to identify business opportunities and build scalable data solutions. - Build data expertise, act like an owner for the company and manage complex data systems for a product or a group of products. - Perform all of the necessary data transformations to serve products that empower data-driven decision making. - Establish efficient design and programming patterns for engineers as well as for non-technical partners. - Design, implement, integrate and document performant systems or components for data flows or applications that power analysis at a massive scale. - Ensure best practices and standards in our data ecosystem are shared across teams. - Understand the analytical objectives to make logical recommendations and drive informed actions. - Engage with internal data platform teams to prototype and validate tools developed in-house to derive insight from very large datasets or automate complex algorithms. - Contribute to engineering innovations that fuel LinkedIn’s vision and mission.<h4>Qualifications</h4>Basic Qualifications: - Bachelor's Degree in a quantitative discipline: Computer Science, Statistics, Operations Research, Informatics, Engineering, Applied Mathematics, Economics, etc - 8+ years of relevant industry or relevant academia experience working with large amounts of data - Experience with SQL/Relational databases - Background in at least one programming languages (e.g., R, Python, Java, Scala, PHP, JavaScript) Preferred Qualifications: - BS and 10+ years of relevant work experience, MS and 9+ years of relevant work experience, or Ph.D. - Experience in developing data pipelines using Spark and Hive. - Experience with data modeling, ETL (Extraction, Transformation &amp; Load) concepts, and patterns for efficient data governance. - Experience in either the front-end or back-end development of data-powered applications. - Deep understanding of technical and functional designs for relational and MPP Databases, - Reporting and Data Mining systems. - Experience working in the product, sales, or marketing analytics domains. - Experience in data visualisation and dashboard design including tools such as Tableau, R visualisation packages, D3, and other JavaScript libraries, etc. - Published work in academic conferences or industry circles Suggested Skills : Data Pipeline Data Engineering Data ManipulationYou will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.<h4>Additional Information</h4>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

Data Scientist

GTM Product architect / Business Systems Analyst<h4>Job Summary</h4>You will be part of Enterprise Data &amp; Analytics team responsible for identifying analytical needs, exploring new technologies, and applying data sciences/machine learning concepts to maximize value from data assets.  Senior Data Engineer will work closely with key stakeholders both IT and Business to turn data into critical information and knowledge that can be used to make sound business decisions.  The individual must have an in-depth understanding of the business environment, an interest in going beyond the obvious, aptitude for new tools/technologies, and obsession for customer success<h4>Job Requirements</h4>•    Must possess strong subject matter expertise in at least two domains of Sales, Marketing, Install Base, Finance, and Customer Support areas.  •    Demonstrated ability to have completed multiple, complex technical projects •    Hands-on experience in SQL, RESTful APIs, and other related standards. Python, No SQL is nice to have •    Hands-on emphasis with a proven track record of building and evaluating data pipes, and delivering systems for final production •    Must have strong data orientation and keen aptitude to explore innovative ways to analyze data •    Knowledge of various development methodologies, including waterfall and agile/scrum.   •    Experience with various data systems like Oracle Data Warehouse, Snowflake, HVR, Informatica IICS •    Experience with various visualization tools like Tableau, PBI •    Experience in all phases of a Software Development Life Cycle.  Well versed in different project life cycle management methodologies – Waterfall and Agile.  •    Experience working with IT delivery teams on complex projects.   •    Ability to work collaboratively and take a lead role, as needed, within a team of other business systems analysts and cross functional peers to support deadlines.   •    Ability to handle multiple tasks concurrently.   •    Limited supervision and direction is provided, as this individual can operate and drive results and set priorities independently.   •    The ideal candidate will be a proactive contributor and subject matter expert.   •    To be successful, this individual must demonstrate favorable results through regular leadership and influencing others. •    Strong written and verbal communication skills •    Excellent problem solving and troubleshooting skills<h4>Education</h4>•    A minimum of 8 years of experience is required, including 6+ years solid relevant experience in Business Analytics. •    Bachelor of Science Degree in Computer Science, Management Information Systems, or Business, or related field is required<h4>Experience Level</h4>Senior Level

NetApp India Pvt Ltd

Application Development Analyst

Vice President – Data Science / Applied AI MLJob Summary: J.P. Morgan Compliance, Conduct, and Operational Risk (CCOR) Data Science function is at the forefront of developing innovative AI and ML solutions to enhance risk management and compliance processes. Our team leverages advanced analytics, AI, Machine learning technologies, including Large Language Models (LLMs), to transform how we manage compliance, conduct, and operational risks across the organization. Join our CCOR Data Science team as a Lead Data Scientist, where you will play a crucial role in developing AI/ML solutions to enhance compliance and risk management. Your primary responsibilities will include leveraging advance AI / ML techniques, LLMs and Agentic AI to develop and deploy models for various tasks such as anomaly detection, risk assessment, and compliance monitoring. You will work with diverse datasets to improve our risk management processes and ensure regulatory compliance. As part of a leading analytics community, you will have opportunities for skill development and career growth in AI, machine learning, and data science. Job responsibilities:<ul><li>Design, deploy, and manage AI/ML models, leverages advance AI/ML techniques, LLMs and Agentic AI for developing compliance and risk management related solution.</li><li>Conduct research on AI techniques to enhance model performance in the compliance and risk domains.</li><li>Collaborate with cross-functional teams to identify requirements, develop solutions, and deploy models in the production system.</li><li>Communicate technical concepts effectively to both technical and non-technical stakeholders.</li><li>Develop and maintain tools and frameworks for model training, evaluation, and optimization.</li><li>Analyze and interpret data to evaluate model performance and identify areas for improvement.</li></ul>Required qualifications, capabilities, and skills:<ul><li>Master’s degree in quantitative discipline or an MBA with an undergraduate degree in areas such as Computer Science, Statistics, Economics, Mathematics etc. from top tier Universities. </li><li>Minimum of 8 years of relevant experience in developing AI/ML solutions, with recent exposure to LLMs and Agentic AI.</li><li>Programming skills in Python, with experience in frameworks like PyTorch or TensorFlow.</li><li>Thorough knowledge of machine learning concepts, including transformers and language modeling.</li><li>Experience in data pre-processing, feature engineering, and data analysis.</li><li>Excellent problem-solving skills and the ability to communicate ideas and results clearly.</li><li>Familiarity with data structures and algorithms for effective problem-solving in machine learning workflows.</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>Executive Level

Senior Machine Learning EngineerWe are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us!Your opportunityAs a crucial member of our team, you'll play a pivotal role across the entire machine learning lifecycle, contributing to our conversational AI bots, RAG system and traditional ML problem solving for our observability platform.Your tasks will encompass both operational and engineering aspects, including building production-ready inference pipelines, deploying and versioning models, and implementing continuous validation processes. On the LLM side you'll fine-tune generative AI models, design agentic language chains, and prototype recommender system experiments.What you'll do In this role, you'll have the opportunity to contribute significantly to our machine learning initiatives, shaping the future of AI-driven solutions in various domains. If you're passionate about pushing the boundaries of what's possible in machine learning and ready to take on diverse challenges, we encourage you to apply and join us in our journey towards innovation.This role requires<ul><li>Proficiency in software engineering design practices.</li><li>Experience working with transformer models and text embeddings.</li><li>Proven track record of deploying and managing ML models in production environments.</li><li>Familiarity with common ML/NLP libraries such as PyTorch, Tensorflow, HuggingFace Transformers, and SpaCy.</li><li>5+ years of developing production-grade applications in Python.</li><li>Proficiency in Kubernetes and containers.</li><li>Familiarity with concepts/libraries such as sklearn, kubeflow, argo, and seldon.</li><li>Expertise in Python, C++, Kotlin, or similar programming languages.</li><li>Experience designing, developing, and testing scalable distributed systems.</li><li>Familiarity with message broker systems (e.g., Kafka, RabbitMQ).</li><li>Knowledge of application instrumentation and monitoring practices.</li><li>Experience with ML workflow management, like AirFlow, Sagemaker, etc.</li><li>Fine-tuning generative AI models to enhance performance.</li><li>Designing AI Agents for conversational AI applications.</li><li>Experimenting with new techniques to develop models for observability use cases</li><li>Building and maintaining inference pipelines for efficient model deployment.</li><li>Managing deployment and model versioning pipelines for seamless updates.</li><li>Developing tooling to continuously validate models in production environments.</li></ul>Bonus points if you have <ul><li>Familiarity with the AWS ecosystem.</li><li>Past projects involving the construction of agentic language chains</li></ul> Please note that visa sponsorship is not available for this position. Fostering a diverse, welcoming and inclusive environment is important to us. We work hard to make everyone feel comfortable bringing their best, most authentic selves to work every day. We celebrate our talented Relics’ different backgrounds and abilities, and recognize the different paths they took to reach us – including nontraditional ones. Their experiences and perspectives inspire us to make our products and company the best they can be. We’re looking for people who feel connected to our mission and values, not just candidates who check off all the boxes. If you require a reasonable accommodation to complete any part of the application or recruiting process, please reach out to <a href="mailto:resume@newrelic.com" target="_blank">resume@newrelic.com</a>.We believe in empowering all Relics to achieve professional and business success through a flexible workforce model. This model allows us to work in a variety of workplaces that best support our success, including fully office-based, fully remote, or hybrid.Our hiring process In compliance with applicable law, all persons hired will be required to verify identity and eligibility to work and to complete employment eligibility verification. Note: Our stewardship of the data of thousands of customers means that a criminal background check is required to join New Relic. We will consider qualified applicants with arrest and conviction records based on individual circumstances and in accordance with applicable law including, but not limited to, the <a href="https://sfgov.org/olse/sites/default/files/FCO%20poster2020.pdf" target="_blank">San Francisco Fair Chance Ordinance</a>. Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. New Relic does not accept unsolicited headhunter and agency resumes, and will not pay fees to any third-party agency or company that does not have a signed agreement with New Relic.New Relic develops and distributes encryption software and technology that complies with U.S. export controls and licensing requirements. Certain New Relic roles require candidates to pass an export compliance assessment as a condition of employment in any global location. If relevant, we will provide more information later in the application process.Candidates are evaluated based on qualifications, regardless of race, religion, ethnicity, national origin, sex, sexual orientation, gender expression or identity, age, disability, neurodiversity, veteran or marital status, political viewpoint, or other legally protected characteristics. Review our Applicant Privacy Notice at <a href="https://newrelic.com/termsandconditions/applicant-privacy-policy" target="_blank">https://newrelic.com/termsandconditions/applicant-privacy-policy</a><h4>Experience Level</h4>Senior Level

New Relic One India Pvt. Ltd.

Data Annotation Engineer

Data Analytics & Reporting - AnalystYou are an analytical thinker passionate about transforming data into actionable insights. You have found the right team. As a Data Analytics &amp; Reporting Analyst within our team, you will design, develop, and maintain data analytics solutions and reports to support business decision-making. Each day, you will collaborate with cross-functional teams to gather requirements, analyze data, and deliver insights that promote our business forward. Job responsibilities <ul><li>Develop and automate data workflows using Alteryx.</li><li>Write advanced SQL queries for data extraction, transformation, and analysis.</li><li>Build and maintain interactive dashboards and reports in Qlik Sense.</li><li>Utilize Python for data analysis, automation, and process optimization.</li><li>Collaborate with stakeholders to understand reporting needs and deliver effective solutions.</li><li>Ensure data accuracy, integrity, and security in all analytics processes.</li></ul>Required qualifications, capabilities, and skills<ul><li>Proficiency in Alteryx for data preparation and automation.</li><li>Advanced SQL skills for complex data manipulation and querying.</li><li>Experience with Python for data analysis and scripting.</li><li>Strong knowledge of Qlik Sense for dashboard and report development.</li><li>Excellent analytical, problem-solving, and communication skills.</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

Data Science ConsultantData Science: ConsultantExperience: 4+ yearsRequirement:<ul><li>Bachelors Degree in technical or quantitative field from an accredited college or university (Masters or PhD in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields is preferred) with 3+ years of relevant experience in Generative AI and NLP</li><li>Strong mathematical background with ability to understand algorithms and methods from a mathematical viewpoint and an intuitive viewpoint.</li></ul> Must have Skills and Experience<ul><li>Excellent communication skill, stakeholder management skill and should be able to frame problem statement into analytical approaches</li><li>Strong programming experience (at least 3+) in advanced Python including OOPs </li><li>Strong in GenAI and NLP: 
 <ul><li>Good experience in retrieval augmented generation and strong grasp in agents</li><li>Should have good understanding of transformer architecture and traditional NLP</li><li>Should have strong agentic experience </li></ul></li><li>Experience of working on AWS</li><li>Should be able to create APIs for backend</li><li>Should have a strong appetite to do research, getting familiar with latest techniques on GenAI and come up with his/her own approach and experimentation</li></ul>Additional Desirable experience:<ul><li>Should have good experience in Machine Learning / forecasting (working, finetuning and evaluation)</li></ul> Data Science: ConsultantExperience: 4+ yearsRequirement:<ul><li>Bachelors Degree in technical or quantitative field from an accredited college or university (Masters or PhD in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields is preferred) with 3+ years of relevant experience in Generative AI and NLP</li><li>Strong mathematical background with ability to understand algorithms and methods from a mathematical viewpoint and an intuitive viewpoint.</li></ul> Must have Skills and Experience<ul><li>Excellent communication skill, stakeholder management skill and should be able to frame problem statement into analytical approaches</li><li>Strong programming experience (at least 3+) in advanced Python including OOPs </li><li>Strong in GenAI and NLP: 
 <ul><li>Good experience in retrieval augmented generation and strong grasp in agents</li><li>Should have good understanding of transformer architecture and traditional NLP</li><li>Should have strong agentic experience </li></ul></li><li>Experience of working on AWS</li><li>Should be able to create APIs for backend</li><li>Should have a strong appetite to do research, getting familiar with latest techniques on GenAI and come up with his/her own approach and experimentation</li></ul>Additional Desirable experience:<ul><li>Should have good experience in Machine Learning / forecasting (working, finetuning and evaluation)</li></ul> Data Science: ConsultantExperience: 4+ yearsRequirement:<ul><li>Bachelors Degree in technical or quantitative field from an accredited college or university (Masters or PhD in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields is preferred) with 3+ years of relevant experience in Generative AI and NLP</li><li>Strong mathematical background with ability to understand algorithms and methods from a mathematical viewpoint and an intuitive viewpoint.</li></ul> Must have Skills and Experience<ul><li>Excellent communication skill, stakeholder management skill and should be able to frame problem statement into analytical approaches</li><li>Strong programming experience (at least 3+) in advanced Python including OOPs </li><li>Strong in GenAI and NLP: 
 <ul><li>Good experience in retrieval augmented generation and strong grasp in agents</li><li>Should have good understanding of transformer architecture and traditional NLP</li><li>Should have strong agentic experience </li></ul></li><li>Experience of working on AWS</li><li>Should be able to create APIs for backend</li><li>Should have a strong appetite to do research, getting familiar with latest techniques on GenAI and come up with his/her own approach and experimentation</li></ul>Additional Desirable experience:<ul><li>Should have good experience in Machine Learning / forecasting (working, finetuning and evaluation)</li></ul> <h4>Experience Level</h4>Senior Level

Kpmg India Services Llp

Data Science Intern

Data EngineerData engineer What We’re Building – and Why You Should CareGDA is Maersk’s bold leap into the future of data and AI. It’s not just a platform-it’s a transformation of how the world’s largest integrated logistics company turns its operational data into strategic intelligence. Think: real-time insights on vessel ETA and carbon emissions, metadata-driven supply chain automation, and retrieval-augmented copilots that advise planners and operators. Our data engineers don’t just build pipelines-they shape the very foundation that powers AI-native logistics.As a data engineer in the GDA-FBM team, you’ll help modernize and operationalize Maersk’s global data estate. You’ll craft reusable, observable, and intelligent pipelines that enable ML, GenAI, and domain-specific data products across a multi-cloud environment. Your code won’t just move data-it’ll move trade. What You'll Be Doing<ul><li>Ingest the world: Design and maintain ingestion frameworks for high-volume, structured and unstructured data-from operational systems, APIs, file drops, and events. Support streaming and batch use cases across latency windows.</li><li>Transform at scale: Develop transformation logic using SQL, Python, Spark, and modern declarative tools like dbt or sqlmesh. You’ll handle deduplication, windowing, watermarking, late-arriving data, and more.</li><li>Curate for trust: Collaborate with domain teams to annotate datasets with metadata, ownership, PII classification, and usage lineage. Enforce naming standards, partitioning schemes, and schema evolution policies.</li><li>Optimize for the lakehouse: Work within a modern lakehouse architecture-leveraging Delta Lake, S3, Glue, and EMR-to ensure scalable performance and queryability across real-time and historical views.</li><li>Strong expertise building data modelling and dimensional modelling. Experience in SSAS/AAS.</li><li>Experience in Azure tech stack like ADF, ADB.</li><li>Build for observability: Instrument your pipelines with quality checks, cost visibility, and lineage hooks. Integrate with OpenMetadata, Prometheus, or OpenLineage to ensure platform reliability and traceability.</li><li>Enable production-readiness: Support deployment workflows via GitHub Actions, Terraform, and IaC patterns. Your code will be versioned, testable, and safe for multi-tenant deployments.</li><li>Think platform-first: Everything you build should be reusable. You’ll help codify data engineering standards, create scaffolding for onboarding new datasets, and drive automation over repetition.</li></ul>What We’re Looking For<ul><li>Strong foundation in data engineering: You know your way around distributed systems, columnar storage formats (Parquet, Avro), data lake performance tuning, and schema evolution.</li><li>Hands-on cloud experience: You’ve worked with AWS-native services like Glue, EMR, Athena, Lambda, and object storage (S3). Bonus if you’ve used Databricks, Snowflake, or Trino.</li><li>Modern engineering practices: Familiarity with GitOps, containerized workflows (Docker, K8s), and CI/CD pipelines for data workflows. Experience with Terraform and IaC is highly valued.</li><li>Programming proficiency: Fluency in Python and SQL is a must. Bonus if you’ve worked with Scala, Jinja-templated SQL, or DSL-based modeling frameworks like dbt/sqlmesh.</li><li>Curiosity and systems thinking: You understand the tradeoffs between batch vs streaming, structured vs unstructured, cost vs latency-and you ask why before you build.</li><li>Collaboration skills: You’ll work closely with ML engineers, platform architects, security teams, and domain data owners. Ability to communicate clearly and write clean, documented code is key. </li></ul>What Makes This Role Special<ul><li>Impact at global scale: Your work will influence container journeys, terminal operations, vessel routing, and sustainability metrics across 130+ countries and $4T+ in global trade.</li><li>Platform-level thinking: You’re not just solving one use case-you’re building primitives for others to reuse. This is your chance to shape a high-leverage internal data platform.</li><li>Freedom to experiment: We don’t believe in checkbox engineering. You’ll have space to challenge the status quo, propose better tooling, and refine the foundations of our platform stack.</li><li>Career-defining scope: Greenfield. Executive visibility. Cross-domain exposure. This is not a maintenance role-it’s about creating the next chapter in Maersk’s data journey.</li></ul>If you’ve ever wanted to build a platform that moves not just data, but global trade-join us.Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements. We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing  <a href="mailto:accommodationrequests@maersk.com" rel="noopener noreferrer" target="_blank">accommodationrequests@maersk.com</a>. <h4>Experience Level</h4>Senior Level

Maersk Line India Pvt Ltd

Data Engineer

Sr Machine Learning EngineerThe CompanyPayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards.  Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day.  We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities.Job Summary:This job will design, develop, and implement machine learning models and algorithms to solve complex problems. You will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences.Job Description:Essential Responsibilities: <ul><li>Develop and optimize machine learning models for various applications.</li><li>Preprocess and analyze large datasets to extract meaningful insights.</li><li>Deploy ML solutions into production environments using appropriate tools and frameworks.</li><li>Collaborate with cross-functional teams to integrate ML models into products and services.</li><li>Monitor and evaluate the performance of deployed models.</li></ul>Minimum Qualifications:<ul><li>Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent experience.</li><li>Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.</li><li>Familiarity with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment.</li><li>Several years of experience in designing, implementing, and deploying machine learning models.</li></ul>Preferred Qualification:<ul><li>MSc or equivalent experience in a quantitative field (Computer Science, Mathematics, Engineering, Artificial Intelligence, etc.) or a bachelor's degree in engineering, science, statistics or mathematics with a strong technical background in machine learning.</li></ul><ul><li>Hands-on experience with Python or Java, along with relevant technologies such as Spark, Hadoop, Big-Query, SQL, is required. </li></ul><ul><li>Candidates must possess a comprehensive understanding of machine learning algorithms and explainable AI techniques. Additionally, expertise in at least one of the following specialized areas is required: Computer Vision, Graph Mining, Natural Language Processing (NLP), or Generative AI (GenAI).</li></ul><ul><li>Experience with Cloud frameworks such as GCP, AWS is preferred.  </li></ul><ul><li>Experience with developing machine learning models at scale from inception to business impact</li></ul><ul><li>Experience in designing ML pipelines, including model versioning, model deployment, model testing, and monitoring</li></ul><ul><li>Experience in mentoring and supporting junior data scientists or engineers .</li></ul><ul><li>Experience working in a multi-cultural and multi-location organization – an advantage.</li></ul><ul><li>Team player, responsible, delivery-oriented, details-oriented, outstanding communication skills.</li></ul>Good to Have: <ul><li>Experience with applying LLMs, prompt design, and fine-tuning methods</li></ul><ul><li>Experience with developing Gen AI applications/services for sophisticated business use cases and large amounts of unstructured data.</li></ul><ul><li>Knowledge of Payments industry, transaction risk domain.</li></ul><ul><li>Publications in prominent journals or conferences in the field of AI or successful AI/ML-related patent applications.</li></ul>Subsidiary:PayPalTravel Percent:0PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. Any such request is a red flag and likely part of a scam. To learn more about how to identify and avoid recruitment fraud please visit <a href="https://careers.pypl.com/contact-us" rel="noopener noreferrer" target="_blank">https://careers.pypl.com/contact-us</a>.For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.Our Benefits:At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit <a href="https://www.paypalbenefits.com/" rel="noopener noreferrer" target="_blank">https://www.paypalbenefits.com</a>.Who We Are:<a href="https://about.pypl.com/who-we-are/default.aspx" rel="noopener noreferrer" target="_blank">Click Here</a> to learn more about our culture and community.Commitment to Diversity and Inclusion  PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law.  In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities.  If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at <a href="mailto:paypalglobaltalentacquisition@paypal.com" rel="noopener noreferrer" target="_blank">paypalglobaltalentacquisition@paypal.com</a>.  Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.Any general requests for consideration of your skills, please <a href="https://nam11.safelinks.protection.outlook.com/?url=https%3A%2F%2Fpaypal.eightfold.ai%2Fcareers%2Fjoin%3Fdomain%3Dpaypal.com&amp;data=05%7C01%7Chmouchel%40paypal.com%7C896c661e48224f2f6c0608db51a99675%7Cfb00791460204374977e21bac5f3f4c8%7C0%7C0%7C638193561037230485%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&amp;sdata=iYNNAXZqfoYTLGNP79IEWsPoYxBR8lE1%2BqNN6c2Kmnk%3D&amp;reserved=0" rel="noopener noreferrer" target="_blank">Join our Talent Community</a>. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.<h4>Experience Level</h4>Senior Level

Paypal India Pvt Ltd

Group Manager RAMS - Data AnalyticsAt Alstom, we understand transport networks and what moves people. From high-speed trains, metros, monorails, and trams, to turnkey systems, services, infrastructure, signalling and digital mobility, we offer our diverse customers the broadest portfolio in the industry. Every day, 80,000 colleagues lead the way to greener and smarter mobility worldwide, connecting cities as we reduce carbon and replace cars. Could you be the full-time Group Manager RAMS - Data Analytics in Bangalore we’re looking for? Your future roleTake on a new challenge and apply your analytical and project management expertise in a new cutting-edge field. You’ll work alongside innovative, driven, and collaborative teammates.You'll lead a multidisciplinary team of data scientists, machine learning engineers, and big data specialists to deliver a wide variety of projects. Day-to-day, you’ll work closely with teams across the business (including Reliability and Safety domains), develop project plans, drive deliverables, and much more.You’ll specifically take care of leading resources located in multiple locations towards a common deliverable, but also communicate and influence audiences of various levels and diverse backgrounds.We’ll look to you for:<ul><li>Managing multiple projects concurrently, prioritizing and planning to meet roadmap goals and objectives</li><li>Leading without formal authority and working both independently and in team environments</li><li>Strong communication and problem-solving skills, with the ability to listen to customer needs and translate into actionable solutions</li><li>Assisting in the definition of project scope and objectives, involving all relevant stakeholders and ensuring technical feasibility</li><li>Measuring project performance using appropriate tools and techniques</li><li>Creating and maintaining comprehensive project documentation</li></ul> All about youWe value passion and attitude over experience. That’s why we don’t expect you to have every single skill. Instead, we’ve listed some that we think will help you succeed and grow in this role:<ul><li>Engineering or master’s degree in computer science, Data Science, Mathematics or similar field, or equivalent work experience</li><li>Experience in data project management and working with customers</li><li>Minimum 12+ years of experience</li><li>Knowledge of Railway, Signalling, or Traffic fields</li><li>Familiarity with Data Science modeling techniques</li><li>Basic software skills and knowledge, including at least one coding language and software release management</li><li>A Project Management Professional (PMP) or Agile project management certification (desirable)</li><li>Knowledge about software product design and requirement management (desirable)</li><li>Knowledge of Agile Methodology and related implementation (desirable)</li><li>Fluent in English; French is a plus</li></ul> Things you’ll enjoyJoin us on a life-long transformative journey – the rail industry is here to stay, so you can grow and develop new skills and experiences throughout your career.You’ll also:<ul><li>Enjoy stability, challenges and a long-term career free from boring daily routines</li><li>Work with new security standards for rail signalling</li><li>Collaborate with transverse teams and helpful colleagues</li><li>Contribute to innovative projects</li><li>Utilise our flexible working environment</li><li>Steer your career in whatever direction you choose across functions and countries</li><li>Benefit from our investment in your development, through award-winning learning</li><li>Progress towards leadership and advanced technical roles</li><li>Benefit from a fair and dynamic reward package that recognises your performance and potential, plus comprehensive and competitive social coverage (life, medical, pension)</li></ul> You don’t need to be a train enthusiast to thrive with us. We guarantee that when you step onto one of our trains with your friends or family, you’ll be proud. If you’re up for the challenge, we’d love to hear from you! Important to noteAs a global business, we’re an equal-opportunity employer that celebrates diversity across the 63 countries we operate in. We’re committed to creating an inclusive workplace for everyone.<h4>Experience Level</h4>Mid Level

Alstom Transport India Ltd

Operations Team Leader

Senior Data Engineer- Palantir FoundryAs a Senior Data Engineer, you will be responsible for designing and implementing complex data pipelines and analytics solutions to support key decision-making business processes in our Property &amp; Casualty business domain. You will gain exposure to a project that is leveraging cutting edge technology that applies Big Data and Machine Learning to solve new and emerging problems for Swiss Re Property &amp; Casualty. You will be expected to take end-to-end ownership of deliverables, gaining a full understanding of the Property &amp; Casualty data and the business logic required to deliver analytics solutions.  Key responsibilities include:      <ul type="disc"><li>Work closely with Product Owners and Architects to understand requirements, formulate solutions, and evaluate the implementation effort. </li></ul><ul type="disc"><li>Design, develop and maintain scalable data transformation pipelines. </li></ul><ul type="disc"><li>Data model Design, Data architecture implementation </li></ul><ul type="disc"><li>Working with Palantir platform for implementation </li></ul><ul type="disc"><li>Evaluate new capabilities of the analytics platform, develop prototypes and assist in drawing Development of single source of truth about our application landscape. </li></ul><ul type="disc"><li>Collaborate within a global development team to design and deliver solutions </li></ul><ul type="disc"><li>Assist stakeholders with data-related functional and technical issues </li></ul><ul type="disc"><li>Working with data governance platform for data management and stewardship. </li></ul>About the Team: This position is part of the Property &amp; Casualty Data Integration and Analytics project within the Reinsurance Data office team under Data &amp; Foundation. We are part of a global strategic initiative to make better use of our Property &amp; Casualty data and to enhance our ability to make data driven decisions across the Property &amp; Casualty reinsurance value chain. About You: You enjoy the challenge of solving complex big data analytics problems using state-of-the-art technologies as part of a growing global team of data engineering professionals. You are a self-starter with strong problem-solving skills and capable of owning and implementing solutions from start to finish.Key qualifications include:• Bachelor's degree level or equivalent in Computer Science, Data Science or similar discipline• At least 10 years of experience with a focus on large-scale distributed computing systems along with Palantir Foundry experience.• Should have strong experience in Palantir Foundry along with Pyspark &amp; Python for building and optimizing complex data pipelines • Proficiency in SQL(Spark SQL preferred) for data querying and manipulation • Extensive knowledge of data warehousing concepts and ELT techniques• Experienced with Scrum and Agile development approaches• Working in a cloud environment like Palantir Foundry is advantageous• Familiarity with HTML, CSS, JavaScript, and Gradle is plus.• Knowledge of Insurance Domain, Financial Industry or Finance function in other industries is a strong plus• Strong analytical and problem-solving skills• Self-starter with a positive outlook and an eagerness to learn• Self-directed and capable of managing own workload• Ability and enthusiasm to work in a global and multicultural environment• Exhibits strong interpersonal and communication abilities, including clear written and verbal communication in complicated contexts  About Swiss Re Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. We cover both Property &amp; Casualty and Life &amp; Health. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world. Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability. If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience.   Keywords:   Reference Code: 135723   <h4>Experience Level</h4>Senior Level

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