Data Scientist Jobs

We are seeking a highly skilled Senior Architect/Lead Data Scientist with extensive experience in architecture design and implementation, particularly in the realm of Generative AI and agentic AI. The ideal candidate will possess a deep understanding of AI technologies and their application in architectural frameworks, driving innovation and efficiency in our projects. Responsibilities: Design and implement architectural solutions that leverage Generative AI and agentic AI technologies. Collaborate with cross-functional teams to define project requirements and deliver high-quality solutions. Lead architectural reviews and ensure adherence to best practices and standards. Mentor and guide junior architects and technical teams in AI-driven architecture. Stay updated with the latest trends in AI and architecture and integrate relevant advancements into our processes. Communicate effectively with stakeholders to align architectural strategies with business goals. Mandatory Skills: Strong expertise in Generative AI and agentic AI technologies. Proven experience in architectural design and implementation. Excellent problem-solving and analytical skills. Robust communication and interpersonal skills. Preferred Skills: Experience with cloud architecture and services. Familiarity with machine learning frameworks and tools. Knowledge of software development methodologies. Experience in leading architectural projects in a collaborative environment. Qualifications: Bachelors or masters degree in computer science, Information Technology, or a related field. 6-13 years of relevant experience in architecture with a focus on AI technologies. Proven track record of successful project delivery and architectural leadership. .

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Our vision is to transform how the world uses information to enrich life for all. Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Senior AI Engineer, EEF, SMAI Job Summary Join Micron Technology at a defining moment in our AI and smart manufacturing transformation. As a and AI Engineer, you will contribute to the design, development, deployment, and support of AI-powered applications that improve manufacturing operations across Micron's global network of fabs and assembly/test sites. You will work closely with data scientists, software engineers, and manufacturing stakeholders to build scalable AI solutions, web applications, APIs, and automation tools that enable data-driven decision-making and autonomous operations. Main Responsibilities • Design and build end-to-end AI solutions, including data ingestion pipelines, feature engineering, model training and inference, APIs, web applications, and observability capabilities. • Develop responsive front-end applications using React, Angular, or Streamlit, backed by Python/FastAPI services, with strong type-safe development and test coverage practices. • Support development and implementation of machine learning and AI models for structured and unstructured data. • Support development of analytics and AI solutions that improve manufacturing and operational decision-making. • Support integration of LLMs and agentic AI capabilities into manufacturing and engineering workflows. • Support integration of robotics platforms, AMRs, tool automation systems, control systems, and the Micron MES ecosystem. • Develop and maintain containerized applications using Docker and deploy solutions through Kubernetes or OpenShift environments. • Work with data platforms and modeling environments to support scalable AI application development. • Build, train and deploy predictive machine learning models. Other Responsibilities • Contribute to CI/CD pipelines and automated software release processes using tools such as GitHub Actions, while supporting monitoring, drift detection, model evaluation, and feedback loop implementation for production AI applications. • Apply Responsible AI practices, including input validation, prompt-injection prevention, PII/IP protection, model governance, and audit logging. • Support application and model optimization efforts to improve performance, reliability, scalability, and cost efficiency. • Support testing, debugging, technical documentation, installation, and maintenance activities for AI and software solutions. • Integrate AI-assisted tools and insights into daily work to improve efficiency, quality, and effectiveness while complying with organizational standards, legal requirements, and governance policies. • Contribute to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one's scope of work. • Building and executing end-to-end ML systems automating training, testing, and deploying Machine Learning models in cloud platforms. Minimum Required Qualifications / Experience • Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or a related field; equivalent industry experience accepted. • 5+ years building and shipping production web or AI applications end to end. • Experience developing and deploying web applications, APIs, or data-driven solutions. • Hands-on experience with at least one cloud platform (AWS, Azure, or GCP). Must Have Technical Skills • Strong programming skills in Python and modern Angular/TypeScript. • Data architecture, encompassing data structures and schemas, along with strong SQL writing and comprehension skills. • Experience with Docker, Kubernetes/OpenShift, and CI/CD development practices. • Working knowledge of GenAI technologies, including prompt engineering, Retrieval-Augmented Generation (RAG), LLM integration, agentic AI concepts, model evaluation, and Responsible AI practices. • Ability to apply AI literacy and digital fluency to use AI-enabled tools responsibly and effectively for research, analysis, content creation, problem-solving, operational tasks, automation, and achieving business outcomes. • Machine learning frameworks (TensorFlow, PyTorch, scikit-learn, etc.) • Prediction (regression) and classification algorithms and familiarity with deep learning, reinforcement learning and generative AI. Must Have Soft Skills • Strong analytical and problem-solving skills. • Effective communication and collaboration skills. • Ability to learn quickly and adapt in a fast-paced environment. Highly Desirable / Preferred Skills or Experience • Experience in semiconductor manufacturing, industrial automation, or smart manufacturing environments. • Exposure to MLOps, machine learning model deployment, or enterprise AI applications. • Familiarity with MES, Industrial IoT, or equipment automation systems. • Experiecne in Building AI Agents Embody Micron's Core Values • People - Respect, develop, and empower others. • Innovation - Drive continuous improvement and breakthrough thinking. • Tenacity - Show grit and determination. • Collaboration - Build trust and foster teamwork. • Customer Focus - Deliver excellence and value. • Speed - Act with purpose and set the pace. About Micron Technology, Inc. We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all . With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities - from the data center to the intelligent edge and across the client and mobile user experience. To learn more, please visit micron.com/careers All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. To request assistance with the application process and/or for reasonable accommodations, please contact [email protected] Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

Hadoop Data Engineer Location: Hyderabad Experience: 3–6 Years Employment Type: Full-Time Key Responsibilities • Design, build, and maintain scalable ETL/ELT data pipelines using Hadoop, Hive, HDFS, and Spark/PySpark • Develop and optimize complex SQL queries and Hive scripts for large-scale data processing • Write clean, efficient, and reusable Python code for data transformation and automation • Work with structured and unstructured data across distributed storage systems (HDFS) • Optimize Spark/PySpark jobs for performance, scalability, and resource efficiency • Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements • Ensure data quality, consistency, and integrity across pipelines • Troubleshoot and resolve issues related to data pipeline failures, performance bottlenecks, and cluster resource management • Participate in code reviews and follow best practices for data engineering and version control • Document technical designs, data flows, and pipeline architecture Required Skills & Experience • 3–6 years of hands-on experience in Data Engineering • Strong working knowledge of Hadoop ecosystem (HDFS, YARN, MapReduce concepts) • Proficiency in Hive for data warehousing and query optimization • Solid experience with Spark/PySpark for distributed data processing • Strong programming skills in Python • Advanced SQL skills — query optimization, joins, window functions, performance tuning Good to Have • Experience with NoSQL databases (HBase, Cassandra) • Familiarity with CI/CD pipelines for data engineering workflows Educational Qualification • Bachelor's or Master's degree in Computer Science, Information Technology, or a related field Regards, Manvendra Singh [email protected]

Job Title : Data Engineer (DE) Location : Hyderabad / Bangalore Experience range : 3-8 What we offer Our mission is simple – Building trust. Our customer's trust in us is not merely about the safety of their assets but also about how dependable our digital offerings are. That’s why, we at Kotak Group are dedicated to transforming banking by imbibing a technology-first approach in everything we do, with an aim to enhance customer experience by providing superior banking services. We welcome and invite the best technological minds in the country to come join us in our mission to make banking seamless and swift. Here, we promise you meaningful work that positively impacts the lives of many. About Our Team DEX is a central data org for Kotak Bank which manages entire data experience of Kotak Bank. DEX stands for Kotak’s Data Exchange. This org comprises of Data Platform, Data Engineering and Data Governance charter. The org sits closely with Analytics org. DEX is primarily working on greenfield project to revamp entire data platform which is on premise solutions to scalable AWS cloud-based platform. The team is being built ground up which provides great opportunities to technology fellows to build things from scratch and build one of the best-in-class data lake house solutions. The primary skills this team should encompass are Software development skills preferably Python for platform building on AWS; Data engineering Spark (pyspark, sparksql, scala) for ETL development, Advanced SQL and Data modelling for Analytics. The org size is expected to be around 100+ member team primarily based out of Bangalore comprising of ~10 sub teams independently driving their charter. As a member of this team, you get opportunity to learn fintech space which is most sought-after domain in current world, be a early member in digital transformation journey of Kotak, learn and leverage technology to build complex data data platform solutions including, real time, micro batch, batch and analytics solutions in a programmatic way and also be futuristic to build systems which can be operated by machines using AI technologies. The data platform org is divided into 3 key verticals Data Platform This Vertical is responsible for building data platform which includes optimized storage for entire bank and building centralized data lake, managed compute and orchestrations framework including concepts of serverless data solutions, managing central data warehouse for extremely high concurrency use cases, building connectors for different sources, building customer feature repository, build cost optimization solutions like EMR optimizers, perform automations and build observability capabilities for Kotak’s data platform. The team will also be center for Data Engineering excellence driving trainings and knowledge sharing sessions with large data consumer base within Kotak. Data Engineering This team will own data pipelines for thousands of datasets, be skilled to source data from 100+ source systems and enable data consumptions for 30+ data analytics products. The team will learn and built data models in a config based and programmatic and think big to build one of the most leveraged data model for financial orgs. This team will also enable centralized reporting for Kotak Bank which cuts across multiple products and dimensions. Additionally, the data build by this team will be consumed by 20K + branch consumers, RMs, Branch Managers and all analytics usecases. Data Governance The team will be central data governance team for Kotak bank managing Metadata platforms, Data Privacy, Data Security, Data Stewardship and Data Quality platform. If you’ve right data skills and are ready for building data lake solutions from scratch for high concurrency systems involving multiple systems then this is the team for you. You day to day role will include • Drive business decisions with technical input and lead the team. • Design, implement, and support an data infrastructure from scratch. • Manage AWS resources, including EC2, EMR, S3, Glue, Redshift, and MWAA. • Extract, transform, and load data from various sources using SQL and AWS big data technologies. • Explore and learn the latest AWS technologies to enhance capabilities and efficiency. • Collaborate with data scientists and BI engineers to adopt best practices in reporting and analysis. • Improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers. • Build data platforms, data pipelines, or data management and governance tools. BASIC QUALIFICATIONS For Data Engineer • Bachelor's degree in Computer Science, Engineering, or a related field • 3-5 years of experience in data engineering • Strong understanding of AWS technologies, including S3, Redshift, Glue, and EMR • Experience with data pipeline tools such as Airflow and Spark • Experience with data modeling and data quality best practices • Excellent problem-solving and analytical skills • Strong communication and teamwork skills • Experience in at least one modern scripting or programming language, such as Python, Java, or Scala • Strong advanced SQL skills Preferred Qualifications • AWS cloud technologies: Redshift, S3, Glue, EMR, Kinesis, Firehose, Lambda, IAM, Airflow • Prior experience in Indian Banking segment and/or Fintech is desired. • Experience with Non-relational databases and data stores • Building and operating highly available, distributed data processing systems for large datasets • Professional software engineering and best practices for the full software development life cycle • Designing, developing, and implementing different types of data warehousing layers • Leading the design, implementation, and successful delivery of large-scale, critical, or complex data solutions • Building scalable data infrastructure and understanding distributed systems concepts • SQL, ETL, and data modelling • Ensuring the accuracy and availability of data to customers • Proficient in at least one scripting or programming language for handling large volume data processing • Strong presentation and communications skills. • For Managers, • Customer centricity, obsession for customer • Ability to manage stakeholders (product owners, business stakeholders, cross function teams) to coach agile ways of working. • Ability to structure, organize teams, and streamline communication. • Prior work experience to execute large scale Data Engineering projects

Department Formulation Research & Development (FR&D;) Oncology Location: Hyderabad Qualification - M.Pharm (Pharmaceutics / Pharmaceutical Technology) - Freshers (2025 & 2026 Pass-outs) Role Overview We are seeking highly motivated and scientifically driven fresh graduates to join our Oncology Formulation Research & Development team as Trainee Research Associates. This role offers an excellent opportunity to build a career in pharmaceutical R&D; while working on the development of innovative oncology drug products for global regulated markets. The selected candidates will receive hands-on exposure to formulation development activities, analytical evaluation, laboratory operations, documentation practices, and regulatory requirements under the guidance of experienced scientists. Key Responsibilities - Assist in pre-formulation and formulation development activities for oncology products. - Perform laboratory experiments as per approved protocols and study plans. - Support characterization and evaluation of formulations. - Maintain laboratory notebooks, raw data records, and development reports. - Conduct literature searches, scientific reviews, and patent assessments. - Participate in stability studies and sample management activities. - Ensure compliance with cGMP, cGLP, data integrity, and safety guidelines. - Assist in preparation of technical documents, reports, and presentations. - Support scale-up, technology transfer, and process optimization activities. - Collaborate with Analytical Development, Quality Assurance, Regulatory Affairs, and Manufacturing teams. Required Skills - Strong understanding of Pharmaceutics and Pharmaceutical Sciences. - Basic knowledge of dosage forms and formulation principles. - Positive laboratory practices and documentation skills. - Strong analytical and problem-solving abilities. - Effective communication and teamwork skills. - Willingness to learn and work in a energetic research environment. Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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Job Description: Manager, Logistics Amgen’s R&D Operations organization addresses complex challenges with exceptional people, tools and processes. The team provides tactical support to ensure R&D scientists and staff receive the goods and services they require, strong logistical support, and management of external partners through robust supplier oversight and governance programs. The Manager, Logistics, is a leadership role intended to implement strategies and procedures to ensure an efficient, fit-for-purpose scientific operating model. The Manager is expected to take a lead role in staff development, operational improvement and issue management. The Manager will serve as the local point of contact for integrator and courier escalations involving R&D shipments. Facilitating daily international shipments, the successful candidate will require strong organizational skills and an ability to lead from the front. Practical expertise in operations management, project management, & shipping logistics, as well as a desire to learn supplier management are vital to success in this role. The candidate will join a team committed to exceeding productivity and operational goals on a global basis, and reports to the Biospecimen Logistics Director In addition to the above responsibilities, the Manager will assist in design and implementation of novel AI-driven logistics solutions for Amgen R&D commodities, including biospecimens, devices, and equipment. The candidate will maintain and interpret a variety of metrics and trackers to ensure budget and performance transparency. Continually evaluate current practices while finding opportunities to align, improve and re-design key processes and tools. In addition, they will participate in R&D-wide initiatives to improve operational efficiency and enable the organizational vision to be achieved. As a creative problem solver who can deliver meaningful results, this role will focus on: • Global logistics for biospecimens, equipment, and devices, including receiving, storage, shipment, tracking, and reconciliation in support of clinical trial timelines • Ensuring compliance with GCP, GLP, CLIA, and applicable import and export regulations for regulated clinical trials • Managing vendor performance, including bioanalytical laboratories and logistics suppliers, through defined KPIs, issue escalation, and continuous improvement activities • Serving as a subject matter expert for logistics processes impacting regulated clinical biospecimens, equipment, and devices • Oversight on performance of logistics vendors and bioanalytical laboratories supporting clinical sample and reagent transport and storage • Establishing and monitoring logistics KPIs, service level expectations, and quality metrics • Leading issue escalation and resolution related to logistics deviations, delays, or quality risks • Driving continuous improvement initiatives to enhance logistics reliability, compliance, and efficiency • Ensuring accurate tracking and reconciliation of biospecimens, equipment, and devices within applicable logistics and sample management systems • Leverages enterprise systems, spreadsheets, and reporting tools to monitor logistics performance and risks Basic Qualifications Doctorate degree and 2 years of biotech/pharma-related business operations/supplier management experience OR Master’s degree and 4 years of biotech/pharma-related business operations/supplier management experience OR Bachelor’s degree and 6 years of biotech/pharma-related business operations/supplier management experience OR Associate’s degree and 8 years of biotech/pharma-related business operations/supplier management experience OR High school diploma / GED and 10 years of biotech/pharma-related business operations/supplier management experience Preferred Qualifications · Degree in biology, life sciences, health, medical or clinical sciences · Strong planning and project management skills with the demonstrated ability to work effectively in a fast-paced environment with multiple high priority projects. · Experienced “integrator” role across multiple organizations, teams and processes with proven ability to advance strategic imperatives. · Proven ability to effectively implement strategies and deliver results. · Exceptional interpersonal, organizational, critical thinking and verbal/written communication skills. · Proven ability to develop collaborative internal and external relationships and navigating matrixed organizations. · Being able to adapt work and communication styles to meet organization needs. · Strong data analytics skills with experience in analytics software, (eg. Microsoft Access, Tableau, Smartsheet) as well as experience with document management applications (eg. Veeva), and portfolio planning tools and financial systems (eg. Planisware, MS Projects)

Machine Learning Engineer, Specialist About Vanguard Founded in 1975, Vanguard is one of the world's leading investment management companies. The firm offers investments, advice, and retirement services to tens of millions of individual investors around the globe-directly, through workplace plans, and through financial intermediaries. Vanguard's India Office Vanguard's office in India is a significant milestone in our global expansion. We are committed to establishing an enduring technology center in Hyderabad, Telangana and are excited to be adding talent who will focus on Artificial Intelligence (AI), mobile, and cloud-based technologies that drive our business outcomes and deliver a world-class experience for our clients. Role Summary Push the boundaries of AI innovation while contributing to impactful research and guiding the next generation of publications. We are seeking a Senior Research Engineer to join our dynamic AI research team. In this role, you will work on cutting-edge AI technologies, contribute to the development of transformative solutions, and lead research initiatives that result in high impact publications. This role is perfect for someone passionate about applying advanced AI concepts to solve real-world challenges, publishing their work in top-tier venues, and mentoring others in the pursuit of groundbreaking research. You'll collaborate with scientists, engineers, and cross-functional teams to deliver innovative solutions while contributing to the broader AI research community. Responsibilities • Conduct advanced research in AI domains, such as Generative AI, Agentic AI, Cognitive AI architectures, call transcription, and large language models; Drive the development of new algorithms, models and techniques that push the boundaries of AI technology. • Work closely with engineering teams to transition research findings into scalable, production-ready solutions; Develop prototypes and proof of concept systems that demonstrate the applicability of research findings to business problems. • Publish research in top-tier AI conferences and journals (e.g., NeurIPS, ICML, CVPR, ACL); Present findings at conferences, workshops, and internal forums to showcase advancements and foster knowledge sharing. • Mentor junior scientists and engineers in conducting high-quality research and writing impactful publications; Provide technical guidance and support to ensure research aligns with both academic and business goals. • Partner with cross-functional teams to align research priorities with business needs; Work closely with product and engineering teams to design AI solutions that are both innovative and practical • Ensure all research and solutions adhere to responsible AI principles, prioritizing safety. Qualifications and Skills • Minimum 8-10+ years of experience in machine learning engineering or data science roles • Advanced degree (Post Doctorate or PhD or master's in computer science, AI, Data Science or related field). • Minimum 5+ years of relevant work experience. • Deep understanding of cutting-edge AI research topics, such as multi-agent systems, generative models, or cognitive architectures • Familiarity with Responsible AI practices and frameworks. • Consistent publication record in top tier conferences and journals is a plus. Must Have Skills • Strong grounding in modern deep learning: transformer architectures, attention mechanisms, training/fine-tuning dynamics. • Expert-level Python and at least one DL framework (PyTorch strongly preferred). • Hands-on experience fine-tuning and adapting LLMs: SFT, LoRA/PEFT, RLHF/DPO, instruction tuning. • Prompt engineering and production model/LLM monitoring: tracking quality, latency, cost, and failure modes of deployed models. For LLM/agentic systems this means trace-level visibility into multi-step chains (which tool call failed, where a reasoning loop went wrong), not just request/response logging. • Evaluation in production: online evals, regression detection, etc. • Retrieval-augmented generation (RAG) and agentic frameworks (tool use, planning, multi-agent orchestration) • MLOps tooling: experiment tracking (W&B/MLflow), model serving (vLLM, TGI), containerization, LLM observability tooling (LangSmith, Langfuse, etc.) • Demonstrated record of taking research from prototype to deployed system. • Experience with distributed/multi-GPU training and the practical realities of scaling (DeepSpeed, FSDP, or equivalent). Nice-to-Have: • Cognitive architectures / world models. • Responsible AI depth: red teaming, evals for safety, interpretability, constitutional methods. • Cross-domain ML: multimodal, or RL beyond RLHF. • Mentorship/tech-lead experience. Location This role is based in Hyderabad, Telangana at Vanguard's India office. Only qualified external applicants will be considered. Our mission Vanguard adheres to a simple purpose: To take a stand for all investors, to treat them fairly, and to give them the best chance for investment success. Our commitment to you Vanguard takes the same long-term view of your success-at work and in life-with Benefits and Rewards packages that reflect what you care about, throughout all the phases and stages of your life. Our Total Rewards programs provide you and your loved ones with wellness support for key areas in your life: Financial wellness We're committed to enabling your financial success and provide competitive offers and programs. Physical wellness We're committed to providing benefits that support your physical health and wellness. Personal wellness We're committed to providing resources that help support the full scope of your life. How we work Vanguard has implemented a hybrid working model for most of our employees (crew members), designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

Some careers shine brighter than others. If you’re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further. HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Manager - Data Scientist In this role, you will: Key Responsibilities * Build, enhance, and maintain QlikSense dashboards and deliver actionable analytics for stakeholders. * Write, optimise, and troubleshoot SQL queries on BigQuery to support performant reporting and analysis. * Rapidly develop prototypes/POCs to validate ideas and accelerate analytics delivery. * Design and support data workflows; collaborate on data pipeline architecture and propose improvements. * Drive automation of reporting and analytics processes using an engineering mindset and modular coding practices. * Implement data governance and quality controls (validation checks, standards compliance, data integrity remediation). * Act as first responder for analytics issues—diagnose problems independently and provide consulting-style support with strong prioritisation. * Use Python for exploratory analysis and build small-scale ML models, applying ethical AI practices. * Technical stack: GCP ecosystem (BigQuery, DataProc, Dataflow, Data Fusion, Dataplex, Vertex AI), plus Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn) and ML/NLP methods (NLP, time series, supervised/unsupervised/RL). * Optional/nice-to-have capabilities: Generative AI (RAG, LLMs, prompt engineering, evaluation), vector databases (FAISS/Pinecone/Weaviate), and agentic AI tools (LangChain/LangGraph/LlamaIndex), supported by strong collaboration, resilience, flexibility, and communication skills. To be successful you will: * 3+ years of experience in data analytics, BI, and Advanced Analytics and ML. * Strong expertise in Qlik Sense and advanced SQL/Big Query skills * Experience in data governance and data quality frameworks * Proven track record in automation and performance optimization * Experience in Generative AI/LLM development and machine learning Value Proposition * Opportunity to work on enterprise-scale procurement analytics with global exposure * Scope to drive automation and engineering practices while mentoring team members You’ll achieve more at HSBC Hsbc.com/careers HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role.” Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website. ***Issued By HSBC Electronic Data Processing (India) Private LTD***

About us: Where elite tech talent meets world-class opportunities! At Xenon7, we work with leading enterprises and cutting-edge startups on exciting, cutting-edge projects that leverage the latest technologies across various domains of IT including Data, Web, Infrastructure, AI, and many others. Our expertise in IT solutions development and on-demand resources allows us to partner with clients on transformative initiatives, driving innovation and business growth. Whether it's empowering global organizations or collaborating with trailblazing startups, we are committed to delivering advanced, impactful solutions that meet todays most complex challenges. We are building a community of top-tier experts and were opening the doors to an exclusive group of exceptional AI & ML Professionals ready to solve real-world problems and shape the future of intelligent systems. Structured Onboarding Process We ensure every member is aligned and empowered: - Screening We review your application and experience in Data & AI, ML engineering, and solution delivery - Technical Assessment 2-step technical assessment process that includes an interactive problem-solving test, and a verbal interview about your skills and experience - Matching you to Opportunity We explore how your skills align with ongoing projects and innovation tracks Who We're Looking For As a Data Analyst, you will work closely with business stakeholders, data engineers, and data scientists to analyze large datasets, build scalable queries and dashboards, and provide deep insights that guide strategic decisions. Youll use Databricks for querying, transformation, and reporting across Delta Lake and other data sources.nd act on data with confidence. Requirements - 6+ years of experience in data analysis, BI, or analytics roles - Strong experience with Databricks Notebooks, SQL, and Delta Lake - Proficiency in writing complex SQL queries (joins, CTEs, window functions) - Experience with data profiling, data validation, and root-cause analysis - Comfortable working with large-scale datasets and performance tuning - Solid understanding of data modeling concepts and ETL workflows - Experience with business intelligence tools (e.g., Power BI, Tableau) - Familiarity with Unity Catalog and data access governance (a plus) - Exposure to Python or PySpark for data wrangling (a plus) Benefits At Xenon7, we're not just building AI systemswe're building a community of talent with the mindset to lead, collaborate, and innovate together. - Ecosystem of Opportunity: You'll be part of a growing network where client engagements, thought leadership, research collaborations, and mentorship paths are interconnected. Whether you're building solutions or nurturing the next generation of talent, this is a place to scale your influence. - Collaborative Environment: Our culture thrives on openness, continuous learning, and engineering excellence. You'll work alongside seasoned practitioners who value smart execution and shared growth. - Flexible & Impact-Driven Work: Whether you're contributing from a client project, innovation sprint, or open-source initiative, we focus on outcomesnot hours. Autonomy, ownership, and curiosity are encouraged here. - Talent-Led Innovation: We believe communities are strongest when built around real practitioners. Our Innovation Community isnt just a knowledge-sharing forumits a launchpad for members to lead new projects, co-develop tools, and shape the direction of AI itself. About us: Where elite tech talent meets world-class opportunities! At Xenon7, we work with leading enterprises and cutting-edge startups on exciting, cutting-edge projects that leverage the latest technologies across various domains of IT including Data, Web, Infrastructure, AI, and many others. Our expertise in IT solutions development and on-demand resources allows us to partner with clients on transformative initiatives, driving innovation and business growth. Whether it's empowering global organizations or collaborating with trailblazing startups, we are committed to delivering advanced, impactful solutions that meet todays most complex challenges. We are building a community of top-tier experts and were opening the doors to an exclusive group of exceptional AI & ML Professionals ready to solve real-world problems and shape the future of intelligent systems. Structured Onboarding Process We ensure every member is aligned and empowered: - Screening We review your application and experience in Data & AI, ML engineering, and solution delivery - Technical Assessment 2-step technical assessment process that includes an interactive problem-solving test, and a verbal interview about your skills and experience - Matching you to Opportunity We explore how your skills align with ongoing projects and innovation tracks Who We're Looking For As a Data Analyst, you will work closely with business stakeholders, data engineers, and data scientists