4842 Data Processing Jobs - Page 8

Job Title - Data Analyst Location - Pune Job Description Role Synopsis: bp is reinventing itself and digital capability is at the core of this vision. Technology Engineers work on the strategic technology platforms we exploit from the market, or come with deep skills in the implementation and integration of market solutions into our overall technology landscape. You will bring a broad base of Digital technical knowledge and a good understanding of software delivery principles. You will be familiar with lifecycle methods, with Agile delivery and the DevOps approach at the core. bp operates a field based organization and you may be deployed to work in different areas of our business over time based your skills and experience and the business adoption of technology. With your technology specialist skills you will bring transferable skills which will allow you to support immediate business demand, and to grow your skills over time. You thrive in a culture of continuous improvement within teams, encouraging and empowering innovation and the delivery of changes that optimise operational efficiency and user experience. You are curious and improve your skills through continuous learning of new technologies, trends & methods, applying knowledge gained to improve bp standards and the capabilities of the Engineering Community. You mentor others in the Team to drive improved performance across our business. You accept a culture of change and agility, evolving continuously, adapting to our changing world. You are an effective teammate, looking beyond your own area/organizational boundaries to consider the bigger picture and/or perspective of others, while understanding cultural differences. You continually enhance your self-awareness and seek input from others on your impact and effectiveness. Well organized, you balance proactive and reactive approaches and multiple priorities to complete tasks on time. You apply judgment and common sense you use insight and good judgment to inform actions and respond to situations as they arise Responsibilities: Be a link between business and digital organizations and part of a cross-disciplinary team, working closely with other analysts, product managers, data scientists, data engineers, software engineers, data managers and business partners. Provide actionable, data-driven business and product insights by combining deep statistical skills, data manipulation capabilities and eye for business. Maintain metrics and build dashboards. Autonomously complete data analysis. You apply existing data & analytics strategies relevant to your immediate scope. You partner with data engineers to define and build simple data models. You integrate existing tools to automate data ingestion, data manipulation, quality control and data analysis. Enforce to and advocate for data analytics standard processes. Present results to peers and team members Collaborates with customers. Mentor others. Qualifications: MSc in a quantitative field, preferably statistics. Hands-on experience (typically approx 3- 6 years) carrying out data analytics, data mining and product analytics in sophisticated, fast-paced environments. Applied knowledge of data analytics and data pipelining tools and approaches across all data lifecycle stages. Deep understanding of a few and a high-level understanding of several commonly available statistics approaches Advanced SQL knowledge Advanced scripting experience in R or python. Ability to write and maintain moderately complex data pipelines. Strong business insight. Customer-centric and pragmatic approach. Focus on value delivery and swift execution, while maintaining attention to detail. Good communication and customer leadership skills. Ability to lead large organizations through influence! Continuous learning and improvement mentality. Desired: Advanced analytics degree Experience with big data technologies (e.g. Hadoop, Hive, and Spark) is a plus. No prior experience in the energy industry required.

As a skilled engineer at SiteRecon, a B2B SaaS platform revolutionizing property measurements for landscapers and snow removal contractors in the $176B US market, you will play a crucial role in evaluating, enhancing, and transforming the computer vision infrastructure. Your expertise will be instrumental in transitioning from traditional CNN architectures to cutting-edge transformer-based models. You will be responsible for model design, training, and optimization to meet the demands of this frontier challenge in computer vision and GIS. You will have access to a vast aerial imagery database with a ground sample distance of 7 cm, covering 500,000+ properties across the U.S. since 2021. Additionally, you will collaborate with a team of 60 annotators mapping thousands of acres daily and have a ready market of 350+ customers for immediate deployment. Leveraging powerful compute resources for rapid model training, you will be at the forefront of solving a constrained problem using the world's highest-resolution aerial imagery to develop scalable templates for automated extraction in GIS applications. Your key responsibilities will include designing and implementing transformer-based architecture for semantic segmentation of aerial imagery, developing efficient image-to-token and token-to-image conversion pipelines, creating and maintaining training datasets, optimizing model training processes for distributed computing environments, implementing efficient inference pipelines for production deployment, and collaborating with the engineering team to integrate new models into the existing infrastructure. To excel in this role, you are expected to have a strong foundation in computer vision and deep learning fundamentals, extensive experience in training transformer models from scratch, expert-level proficiency in PyTorch, experience with ONNX or TensorRT model optimization and deployment, deep understanding of distributed computing and parallel processing, advanced Python knowledge, experience with semantic segmentation tasks, and a proven track record of handling large-scale data processing. This position requires a minimum of 5 years of hands-on deep learning experience, a track record of successfully deploying computer vision models in production, experience with vision transformer architectures, experience optimizing models for production using ONNX/TensorRT, and a background in handling high-resolution satellite/aerial imagery. A Masters/PhD in Computer Science, Machine Learning, or a related field is preferred. Your desired qualities should include a strong mathematical foundation in deep learning concepts, experience with model architecture design and optimization, the ability to conduct independent research and stay updated with the latest developments, excellence in technical documentation and communication, and self-motivation to solve complex technical challenges efficiently. What sets you apart in this role is your experience with vision transformers specifically for segmentation tasks, published research or contributions to open-source computer vision projects, experience with high-performance computing environments, a background in geospatial data processing, hands-on experience with model quantization and optimization using ONNX/TensorRT, and experience deploying optimized models in production environments. Your role is crucial as every day without improved segmentation costs real business opportunities, and we need someone who can think systematically, move fast, and deliver production-ready improvements promptly.,

As a Data Engineer with expertise in Machine Learning, Spark, Scala, and Java, your responsibilities will include utilizing your Big Data experience and 3+ years of hands-on experience in Java, Python, Scala, Spark, and Machine Learning. Your role will involve data mining, data analysis, and gathering and processing raw data at scale. In this position, you will be expected to work closely with the engineering team to integrate and build algorithms. You will also be responsible for processing unstructured data into a suitable form for analysis, supporting business decisions with ad hoc analysis, and extracting data from relational databases. Additionally, you will manipulate and explore data using quantitative, statistical, and visualization tools. Your role will entail informing the selection of appropriate modeling techniques to ensure the development of predictive models using rigorous statistical processes. You will establish and maintain effective processes for validating and updating predictive models, analyze, model, and forecast health service utilization patterns and trends. Collaboration with internal business, analytics, and data strategy partners to enhance efficiency and increase the applicability of predictive models into core software products will be a key aspect of your responsibilities. You will perform statistical analysis to prioritize maximizing success and identify areas for improvement while communicating action plans. Furthermore, you will conduct strategic data analysis and research to support business needs, identify opportunities to enhance productivity through sophisticated statistical modeling, and explore data to improve business results. Developing an understanding of business processes, goals, and strategy to provide analysis and interpretation to management will be crucial in this role. Lastly, you will gain insight into business needs and perform necessary analysis through internal discussions, ensuring that your insights contribute to the continuous improvement and success of the organization.,

As a software engineer at Google, you will play a crucial role in developing cutting-edge technologies that impact billions of users worldwide. Google's products operate at an immense scale and cover a wide range of domains such as information retrieval, distributed computing, system design, networking, security, AI, NLP, UI/UX, and mobile technologies. Your work will involve tackling complex challenges and contributing to projects that are vital to Google's ongoing success. The Platforms and Devices team at Google is responsible for developing various software platforms, including desktop and mobile environments, applications, as well as Google's first-party devices and services. The team focuses on creating seamless and innovative experiences for users by leveraging Google's AI, software, and hardware technologies. As part of this team, you will engage in research, design, and development of new technologies to enhance user interactions with computing devices. Minimum qualifications for this role include a Bachelor's degree or equivalent practical experience, along with 5 years of software development experience in multiple programming languages. Additionally, you should have 3 years of experience in testing, maintaining, or launching software products, and at least 1 year of experience in software design and architecture. You should also possess 3 years of expertise in speech/audio technology, reinforcement learning, ML infrastructure, or other ML fields, as well as experience in ML infrastructure such as model deployment, evaluation, optimization, and data processing. Preferred qualifications consist of a Master's degree or PhD in Computer Science or a related technical field, 5 years of experience in data structures/algorithms, and at least 1 year of experience in a technical leadership role. Experience in developing accessible technologies is also valued in this role. Your responsibilities will involve writing and testing product development code, collaborating with peers and stakeholders to ensure best practices in design and coding, and implementing solutions in specialized ML areas. You will be expected to leverage ML infrastructure effectively and demonstrate expertise in your chosen field.,

As a Financial Analyst in Mumbai within the Financial Markets sector, you will play a crucial role in working on back-office and middle-office processes for financial institutions. Your responsibilities will include handling various stages of the client/product life cycle, such as KYC, reference data management, legal docs, portfolio reconciliation, document capture, system reconciliation, settlements, and more. You will be expected to work on data capture, cataloging, processing, system updates, reconciliations, settlements, and fund transfers. Additionally, you will be responsible for preparing reports using MS Excel and engaging in external interactions with agents, counterparties, and clients to address queries and discrepancies related to the process. Risk identification, escalation, and timely resolution of outstanding issues to clients will be key aspects of your role. You will also be involved in trade support activities across the Trade Lifecycle, such as trade confirmation matching, pre-settlement support, reconciliation of trade positions, report generations, and settlements of cash flows. Furthermore, you will work on various capital market operational tasks, including reference data support, regulatory reporting, and front-office and back-office reconciliations. The job will require you to learn and master various financial products, including Equity Securities, Derivatives, Interest Rate Swaps, FX Spot, Options, Futures, Credit Derivatives Swaps, Commodities Derivatives, and Fixed Income products. To excel in this role, you should hold a Bachelor's Degree (B.com, BBA, BBM, BCA) or a Master's Degree (M.com, MBA, PGDM) and have 0 to 2 years of experience in investment banking operations. Basic knowledge of finance, trade life cycles, investment banking, and derivatives will be essential. Strong communication skills, teamwork abilities, and a proactive approach are highly valued. You should possess high levels of energy, enthusiasm, commitment, and productivity, along with logical and quantitative abilities to derive insights from data. Effective time management, issue resolution skills, and proficiency in planning and organizing tasks will be critical for success in this role.,

You will be responsible for leading India-based teams of software engineering staff, data scientists, and other technical professionals involved in developing AI-enabled health analytics and risk management solutions at an enterprise level. Your role will involve managing the development of AI and NLP-based analytics products from a clinical and care management perspective. Additionally, you will oversee the creation and upkeep of full-stack software solutions for health risk assessment, clinical summarization, and health equity analytics. It will also be part of your responsibility to expand our internal service tools and platforms that process healthcare datasets, EHR, claim, and care management data efficiently. Your focus will be on enhancing operational efficiency by implementing project management tools and processes to support team performance and achieve optimal results consistently. Encouraging a culture of continuous innovation and creativity will be vital, along with guiding the team to translate high-level business challenges into practical data- and AI-driven health analytics. Furthermore, you will be instrumental in growing a team of enthusiastic, skilled, and committed professionals through strategic hiring and seamless integration processes. To excel in this role, you should have experience in managing and leading internal resources across different geographies and time zones. A minimum of 10 years of software engineering experience, including maintaining and operating a software product for at least 2 years, is required. You should also possess a minimum of 5 years of hands-on experience in cloud computing, data processing, or data science. Your proficiency in team building, leadership, and effective communication in English and Hindi will be crucial for this position. Your qualifications should include a degree in computer science, mathematics, statistics, or another engineering field. Additionally, you must demonstrate a strong focus on software security and possess relevant experience in security certifications. The ability to collaborate and communicate efficiently with both technical and non-technical teams is essential. Moreover, your expertise in translating client and subject matter expert insights into product and operational requirements for technical teams will be highly valuable. Previous experience working with healthcare data or in the healthcare domain will be an advantage for this role.,

JOB TITLE: Data Analyst JOB FUNCTION: R&D SCOPE: Global WORK LOCATION: Unilever Research India - R&D Bangalore, Whitefield ABOUT UNILEVER With 3.4 billion people in over 190 countries using our products every day, Unilever is a business that makes a real impact on the world. Work on brands that are loved and improve the lives of our consumers and the communities around us. We are driven by our purpose: to make sustainable living commonplace, and it is our belief that doing business the right way drives superior performance. At the heart of what we do is our people - we believe that when our people work with purpose, we will create a better business and a better world. At Unilever, your career will be a unique journey, grounded in our inclusive, collaborative, and flexible working environment. We don't believe in the one size fits all approach and instead we will equip you with the tools you need to shape your own future. CATEGORY OR FUNCTION INTRODUCTION: Home Care is a global business with leading household cleaning and laundry brands such as OMO, Sunlight and Comfort. Ouraim is to offer products thatare unmissably superior, sustainable and greatvalue. We are organised to deliver growth and margin across our core formats. While we have a portfolio of strong global brands, and a global geographical footprint, our strength is in emerging markets where we lead the industry through market development. Within R&D, our team of world-leading scientists, researchers and professionals creates innovations that drive growth for our business and deliver positive impacts for people, society and our planet. JOB PURPOSE The purpose of this role is to support Home care users on LIMS Product . To add, LIMS system is accepted by HC at a global level and teams have started using it for experimental data capture across functions. WHAT WILL YOUR MAIN RESPONSIBILITIES BE Support: Support R&D HC users to understand various capabilities under LIMS (Unilever) for Formulation, Stability, Processing and Packaging with the technical aspects . Demonstration of LIMS functionalities for creating requests, batches for Lab, pilot trails and MPT/ 3P as well as for Material and Inventory management modules required at a site level. Content Creation: Collate requirements for the templates in LIMS, define technical scope. Build, test and validate LIMS templates . Training and transformation. Create HC Specific training materials for LIMS for different capabilities along with HC SMEs. Arrange and lead training sessions as needed. WHAT YOU NEED TO SUCCEED Experiences & Qualifications Bachelor's or master's degree in STEM subject (Science / Engineering) Minimum 2-3 years of working experience in the field of data handling, data processing. Must know LIMS as a system and should have reasonable work experience in this area. Skills Innovative. Managing stakeholders. Should be able to translate non -tech requirements to technical Power BI working knowledge is plus. Our commitment to Equality, Diversity & Inclusion Unilever embraces diversity and encourages applicants from all walks of life! This means giving full and fair consideration to all applicants and continuing development of all employees regardless of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage and civil partnership, and pregnancy and maternity.

As a Lead Software Engineer at Avoma, you will play a crucial role in shaping the client experience on the platform. Your primary responsibilities will include designing, building, and maintaining the server-side infrastructure. This position offers an exciting opportunity for individuals who are inquisitive, diligent, and eager to enhance their professional skills in a rapidly expanding startup environment. Collaborating with the early team members, you will actively contribute to establishing the foundational elements of our development strategy and processes, paving the way for future Software Engineers at Avoma. The ideal candidate for this role will possess expertise in developing B2B SaaS applications and demonstrate professionalism in balancing product roadmap requirements with customer needs. Your ultimate objective will be to ensure a seamless and enjoyable experience for all users of Avoma. As part of our team, you can expect comprehensive support for your growth and continuous development. With Avoma's fast-paced growth trajectory, there are abundant opportunities for career advancement, creativity, and taking ownership of your initiatives. In this role, your key responsibilities will include: - Developing new features and enhancements for the Avoma platform in a secure, well-tested, and high-performance manner. - Collaborating with Product Management and cross-functional Engineering teams to maintain superior quality standards in a dynamic, iterative setting. - Advocating for enhancements in product quality, security, and performance. - Addressing technical challenges of moderate complexity and scope. - Crafting code that adheres to our internal standards for style, maintainability, and best practices in a high-scale environment. - Conducting thorough code reviews to ensure the optimal performance of our backend services. - Building RESTful APIs and features for UI applications, including Web and Mobile clients. - Deploying and integrating machine learning models created by the AI team. - Taking charge of the core data processing pipeline and video processing pipeline. - Integrating third-party systems such as Calendar, CRM platforms, and Video Conferencing tools. At Avoma, we utilize the Django framework for our backend platform and React.js for frontend application development. Requirements: - Minimum of 8 years of experience as a Software Engineer, delivering high-impact software solutions. - Proficiency in Python and its frameworks, particularly Django or Flask. - Strong communication skills for effectively addressing technical, architectural, and organizational challenges. - Experience in identifying and resolving performance and optimization issues. - Comfortable working in an agile and iterative software development environment. - Positive and solution-oriented approach. - Strong collaboration, communication, and visibility skills. - Track record of leading projects from conception to production, including ideation, discussions, and implementation. - Ability to work closely with various departments within the organization. Benefits at Avoma: - Transparent salary structure ranging from INR 38,00,000 to INR 48,00,000 based on experience. - 15 days of Paid Time Off (PTO) annually in addition to company holidays. - Employee Stock Options Program. About Avoma: Avoma is an intelligent meeting assistant designed to streamline common tasks associated with customer-focused meetings. Leveraging NLP and machine learning technologies, Avoma automates meeting note summarization, key topic extraction, and action item tracking, all of which seamlessly sync with CRM systems. This innovative approach saves users time and enables them to focus on meaningful customer interactions. As a well-funded early-stage startup with a growing customer base, Avoma offers a dynamic and rewarding work environment.,

The Opportunity Join our team at Nutanix as a Staff Engineer in our Pune office, where you will play a crucial role in providing a solid Nutanix Cloud Manager (NCM) product to our customers. Your mission will be to design and build an observability platform that allows our customers to proactively monitor and manage their infrastructure and applications. By building a reliable NCM data platform and driving the adoption of best practices, you will contribute to the success of our products. This is a unique opportunity to work with cutting-edge technologies, lead and mentor engineers, and be part of a fast-paced environment where autonomy and ownership are valued. The work will range from analyzing application requirements and proposing and benchmarking databases, designing data processing pipelines to data analysis and recommending best practices based on workload. The NCM data platform provides an end-end telemetry platform that includes telemetry data collection via agents and a big data pipeline that provides capabilities such as data transformation/processing, data warehousing, and data analytics. The NCM data platform is a team of 12 people, spread across India and the US, with a mix of senior and junior engineers. The team is special because it works in a hybrid environment, prioritizing fast deliverables while dedicating time for cross-geo collaboration. The team's success lies in its ability to bring together diverse skill sets and work towards building a unified experience for Nutanix customers. About the Team At Nutanix, you'll be joining the Insights team, a dynamic and innovative group dedicated to leveraging data analytics for impactful business decision-making. With team members located in both the US and India, we foster a collaborative environment that encourages sharing diverse perspectives and ideas. Our culture is rooted in creativity and continuous improvement, allowing us to drive meaningful change and deliver exceptional results. You will report to the Director of Engineering, who values open communication and mentorship, ensuring that each team member has the support and guidance necessary to excel in their roles. Our work setup is hybrid, requiring team members to be in the office 23 days a week, which balances flexibility with the benefits of in-person collaboration. Your Role Drive technical direction and architecture for the NCM Data Platform working with other senior engineers. Design and develop the next generation of Data Platform features for on-prem and cloud. Drive data modeling discussions working with senior engineers to ensure the best solution for requirements from various service teams. Collaborate with Product Management, QA and documentation teams across multiple geographies to deliver high-quality products and services. Work across all components of a big data platform such as API gateway, message bus, databases and database abstraction layers. Mentor junior engineers and drive best practices for design/code reviews. Propose and drive adoption of best practices for operationalizing data platforms, including data catalog, tracing capabilities, configuration-driven change, etc. What You Will Bring 15+ years of experience with a Bachelors or Masters degree in computer science or related streams. Experience architecting and building highly available and scalable data platforms. Experience with one or more of the following languages (Python, Golang, C++, Java). Experience working with Database technologies and optimizing workloads. Experience working with Big Data technologies viz. Message queues/API gateways, Kubernetes ecosystem, and microservice patterns. Having an owner's mindset and prior experience of leading teams in a fast-paced and demanding environment with good knowledge of SDLC practices. Awareness of Data Marts, Data Lakes, and Data Warehouses is a plus. Experience working with one or more of the cloud platforms (AWS, Azure, GCP, etc) is a plus.

Enter & validate production/inventory data in ERP/Excel Maintain daily/weekly/monthly record & generate MIS report Resolve data discrepancies with production/stores Track machine uptime/downtime for production reporting Support audits & timely data Required Candidate profile Andheri Graduate 1–3 yrs exp. in data entry/MIS (manufacturing preferred) Proficiency in Advanced Excel, MS Office & ERP Work Schedule: 2 rotational shifts – 6:30 AM to 2:30 PM & 2:00 PM to 10:00 PM

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. Essential Responsibilities Develop and optimize machine learning models for various applications. Preprocess and analyze large datasets to extract meaningful insights. Deploy ML solutions into production environments using appropriate tools and frameworks. Collaborate with cross-functional teams to integrate ML models into products and services. Monitor and evaluate the performance of deployed models. Minimum Qualifications Minimum of 5 years of relevant work experience and a Bachelors degree or equivalent experience. Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn. Familiarity with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment. Several years of experience in designing, implementing, and deploying machine learning models.

This job will lead the design, development, and implementation of advanced monitoring and RCA(root cause analysis) functions for machine learning models and strategies to solve complex problems. You will work closely with data scientists, software engineers, and product teams to enhance services through backend application and AI/ML solutions. Your role will involve building scalable monitoring backend applications, enable RCA(root cause analysis) capabilities for detected anomalies, and fix issues in production environments to drive business insights and improve customer experiences Essential Responsibilities Develop and optimize machine learning models for various applications. Preprocess and analyze large datasets to extract meaningful insights. Deploy ML solutions into production environments using appropriate tools and frameworks. Collaborate with cross-functional teams to integrate ML models into products and services. Monitor and evaluate the performance of deployed models. Minimum Qualifications Minimum of 5 years of relevant work experience and a Bachelors degree or equivalent experience. Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn. Familiarity with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment. Several years of experience in designing, implementing, and deploying machine learning models. Preferred Qualification Lead the development , optimization and maintanance of monitoring and RCA applications to enable self-service for business partners to establish capabilities in fraud/incident detection and investigation. Build and optimize a self-service monitoring&RCA systems using Java/Python frameworks and technologies Maintain and improve existing applications , ensuring high availability and fault tolerance Collaborate with engineers from other sites, data scientists and business stakeholders to understand data requirements and deliver appropriate solutions . P roficiency in Java with Spring Boot framework and Spring ecosystem, or Python with knowledge of npm package management Experience with Maven for dependency management and build automation Solid understanding of RESTful API development and HTTP client libraries Experience with cloud-based data platforms ( e.g. Google BigQuery) Experience with relational databases (e.g., PostgreSQL, MySQL) and/or NoSQL databases (e.g., MongoDB) Experience with time-series databases (InfluxDB) Experience with Devops best practises, containaerization(Docker / Kubernetes) , version control systems (Git) and CI/CD Familiar with Linux environments; able to perform troubleshooting of scripts (Shell/Python) Good documentation skills, and have flexibility to sync up with teams across different locations /timezones remotely Experience with message queues (RabbitMQ, Apache Kafka) Experience in building GenAI based solutions Strong problem-solving skills and attention to detail Experience working in agile development environments Excellent communication and collaboration skills

This is a truly unique opportunity in which, as a senior software engineer at CloudBees, you will be the kernel of the expanding AI team, and play an instrumental role in laying out the foundation of a new SaaS product powered by data and AI. You will be a part of a US tech startup with a global team & customer reach, which provides an excellent career growth opportunity. We are looking for a pioneer who is excited to pick up new exciting technologies, experiment, learn, and chart unknown territories. What You ll Do Develop code, infrastructure, data processing and work on ML algorithms Operate a service and be accountable to its business impact Work closely with prospects and customers to resolve problems they are experiencing & make them happy What the Role Requires Bachelors degree in Computer Science or a related technical field Experience programming in Java/GoLang/Python (>2 years). Experience developing web applications Excellent problem solving and communication skills Ability to be self sufficient given the proper guidance Self-motivated and driven personality Fully proficient in English written and spoken language Comfortable working closely with support, customers and community to help resolve issues Passion for teams: building, working in them, encouraging team members to reach their potential It s great but not required to have Data processing experience Machine Learning experience Go / Python experience Experience working in Agile methodologies

Internal Firm Services Industry/Sector Management Level Senior Associate & Summary Those in application security at PwC will be responsible for providing security services to development teams including code scanning, readiness testing, and penetration testing to enable application teams to build and deploy secure applications in Production. You will utilise a riskbased methodology and shiftleft approach to engage early in the software development lifecycle. & Summary To be a contact point on Data Protection matters, focusing on tracking and timely closure of users queries and clarifications, related to the data privacy / Data Protection related matters during client and third party vendor contracting. Coordinate with stakeholders for timely closure of Data Subject related queries and action tracking from client & internal audit/compliance assessments Roles & Responsibilities (essential functions and responsibilities of the job) As a Data Privacy Analyst, you would be responsible for, Be the first subject matter expert for enquiries from staff on Data Protection and its requirements, providing them with appropriate advice and guidance. Review and provide feedback on Data Protection related clauses in the client contracts. Ensure that the third party contracts include appropriate Data Protection clauses during service introduction Ensure Compliance to Data Protection and Privacy regulations, achieving and monitoring compliance including any remedial measures Working closely with IT and Business lines, ensure that the Data Protection and Privacy requirements are part of operational procedures and ensure the reviews / consultations are closed in timely manner and within the SLA timeframe. Undertake proactive compliance check activities and implement measures that promote good Data Protection and Privacy working practices and compliance with regulatory requirements. Ensure that the principles, e.g. Privacy by design and Data Protection by default is achieved Carry out DP audits and spotchecks to monitor compliance. Maintain a risk assessment process for personal data processing done as part of client & third Party vendor onboarding including Data Protection Risk Assessments and DP Impact Assessments Ensure that the documentation requirements(DPRA, DIPA) are adhered to status tracked Mandatory skill sets Understanding of Indian and other key Data Protection laws like DPDP Act 2023 and GDPR. Desirable to have knowledge of other related regulations such as labour law, company act etc. Good understanding of computer systems, databases and applications Security. Especially on how personal data is stored and processed. Good experience of creating training & awareness programmes Data Privacy certifications, is desirable Preferred skill sets Experience in Service Now or other similar applications/tools Years of experience required 34 Years of experience in Oracle Fusion Education qualification Bachelor s degree in information technology Education Degrees/Field of Study required Bachelor of Engineering Degrees/Field of Study preferred Required Skills Data Privacy Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Application Security, Application Security Assessment, Azure Data Factory, Cloud Application Development, Cloud Security, Coding Standards, Communication, Creativity, Cybersecurity, DevOps Practices, Embracing Change, Emotional Regulation, Empathy, Endpoint Security, Forensic Investigation, Hosting Controllers, Inclusion, Information Security, Intellectual Curiosity, Learning Agility, LoadRunner (Software Testing Tool) {+ 30 more} Travel Requirements 0% No

EY- Consulting - Senior - Data Analyst We re looking for data analyst with expertise in Data Analytics for our rapidly growing Internal Audit practice within EY GDS Consulting across multiple levels and locations. This is a fantastic opportunity to be part of a leading firm whilst being instrumental in the growth of a new service offering. There are exciting opportunities to build an enriching career! Come join us if you are Interested in helping major global clients transform while recommending solutions to some of the most pressing business challenges and process inefficiencies Strong analytical skills ability to make sense out of a variety of data and its relation/applicability to the business problem or opportunity at hand Looking for a career opportunity in Gurgaon Your key responsibilities Preferred Qualifications Graduate/Postgraduate in Engineering/ Statistics/ Mathematics or any other quantitative field Understand business requirements in BI context and design data models to transform raw data into meaningful insights 3+ years of work experience on Alteryx, SQL and Tableau. Good to have skill - Power BI, Python Utilize Alteryx to design and implement data workflows that prepare, cleanse, and transform data from various sources for analysis. Write and optimize complex SQL queries to extract, manipulate, and analyse data from relational databases, ensuring data integrity and performance. Develop and maintain interactive dashboards and reports using Tableau, translating complex data sets into clear, actionable insights for stakeholders. Collaborate with business stakeholders to gather requirements, understand data needs, and translate them into effective analytical solutions. Provide guidance and mentorship to junior analysts and team members, promoting best practices in data analysis, Alteryx, SQL, and Tableau. Monitor and optimize the performance of data workflows and Tableau dashboards, ensuring efficient data processing and visualization. Self-motivated with the ability to thrive in a dynamic team environment, work across organizational departments and instill confidence with the client through work quality, time management, organizational skills, and responsiveness Demonstrated ability to manage competing priorities while working collaboratively with customers and stakeholders Understanding on ERM or standard business process knowledge around procure to pay, order to cash, inventory, journal entries etc. will be a plus Strong communication skills ability to both formulate/understand the business problem at hand as well as ability to discuss with non-data-science background stakeholders Comfortable dealing with ambiguity and competing objectives Client Management Understand the client s business related industry issues / trends. Develop strong working relationships with the client and onshore client teams Maintain excellent rapport and proactive communication with the client Market Leadership Participate / support business development initiatives. Support multiple innovation initiatives to enhance existing solutions leveraging technologies like PowerApps, Power Automate, Advanced Analytics. Support the practice in developing thought leadership content and other innovation initiatives from time to time. Quality delivery Independently execute assignments, where required Manage multiple assignments and related project teams. Meet quality guidelines within the established turnaround time (or allotted budget) for assigned requests. Constantly monitor project progress, manage risk and verify key stakeholders are kept informed about progress and expected outcomes. Demonstrate application and solution-based approach to problem solving while executing client engagements and documenting working papers. Anticipate and identify engagement related risks and escalate issues as appropriate on a timely basis. Identify process gaps and accordingly provide recommendation in areas requiring improvement based on the clients business process and industry practice. Mentor and coach junior team members, enabling them to meet their performance goals and successfully grow their careers. Operational Ensure compliance with risk management strategies, plans and activities of the firm. Manage the engagement budgets and support superiors in developing marketing collaterals, business proposals and new solution / methodology development. Supporting the engagement manager in planning and scheduling optimum staff levels for engagements. Skills and attributes for success Exceptional command on spoken and written English Globally mobile and flexible to travel to onsite locations Highly analytical, organized and meticulous consulting skills Proficient in MS-Office Suite, data analysis validation Team player with strong interpersonal skills Ability to prioritize deliverables effectively in order to achieve optimum results. Ideally, you ll also have Strong project management skills Problem solving skills Ability to think differently and innovate A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment Opportunities to work with EY Enterprise Risk Analytics team with leading businesses across a range of industries .

Were seeking top talents for our AI engineering team to develop high-quality machine learning models, services, and scalable data processing pipelines. Candidates should have a strong computer science background and be ready to handle end-to-end projects, focusing on engineering. As an Applied AI ML Associate within the Digital Intelligence team at JPMorgan, you will collaborate with all lines of business and functions to deliver innovative software solutions. You will experiment with, develop, and productionize high-quality machine learning models, services, and platforms to significantly impact both technology and business. You will design and implement highly scalable and reliable data processing pipelines, perform analysis, and provide insights to promote and optimize business results. Your contributions will be integral to a transformative journey, making a substantial impact on a wide range of customer products. Job Responsibilities Research, develop, and implement machine learning algorithms to solve complex problems related to personalized financial services in retail and digital banking domains. Work closely with cross-functional teams to translate business requirements into technical solutions and drive innovation in banking products and services. Collaborate with product managers, key business stakeholders, engineering, and platform partners to lead challenging projects that deliver cutting-edge machine learning-driven digital solutions. Conduct research to develop state-of-the-art machine learning algorithms and models tailored to financial applications in personalization and recommendation spaces. Design experiments, establish mathematical intuitions, implement algorithms, execute test cases, validate results, and productionize highly performant, scalable, trustworthy, and often explainable solutions. Collaborate with data engineers and product analysts to preprocess and analyze large datasets from multiple sources. Stay up-to-date with the latest publications in relevant Machine Learning domains and find applications for the same in your problem spaces for improved outcomes. Communicate findings and insights to stakeholders through presentations, reports, and visualizations. Work with regulatory and compliance teams to ensure that machine learning models adhere to standards and regulations. Mentor Junior Machine Learning associates in delivering successful projects and building successful careers in the firm. Participate and contribute back to firm-wide Machine Learning communities through patenting, publications, and speaking engagements. Required qualifications, capabilities and skills Expert in at least one of the following areas Natural Language Processing, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics. Demonstrated expertise in machine learning frameworks Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-Learn. Strong programming knowledge of python, spark; Strong grasp on vector operations using numpy, scipy; Strong grasp on distributed computation using Multithreading, Multi GPUs, Dask, Ray, Polars etc. Strong analytical and critical thinking skills for problem solving. Excellent written and oral communication along with demonstrated teamwork skills. Demonstrated ability to clearly communicate complex technical concepts to both technical and non-technical audiences Experience in working in interdisciplinary teams and collaborating with other researchers, engineers, and stakeholders. A strong desire to stay updated with the latest advancements in the field and continuously improve ones skills Preferred qualifications, capabilities and skills Deep hands-on experience with real-world ML projects, either through academic research, internships, or industry roles. Experience with distributed data/feature engineering using popular cloud services like AWS EMR Experience with large scale training, validation and testing experiments. Experience with cloud Machine Learning services in AWS like Sagemaker. Experience with Container technology like Docker, ECS etc. Experience with Kubernetes based platform for Training or Inferencing.

Key ResponsibilitiesUnderstand business requirements by engaging with business teams. Data extraction from valuable data sources & automating data collection process. Data processing, cleaning and validating integrity of data to be used for analysis. Exploratory data analysis to identify trends and patterns in large amount of data. Build machine learning based models using algorithms and statistical techniques like Regression, Decision trees, Boosting etc. Present insights using data visualization techniques. Propose solutions and strategies to various complex business challengesBuild GenAI models using RAG frameworks for chatbots, summarisation etc. Develop model deployement pipline using Lambda, ECS etcSkills & AttributesKnowledge of statistical programming languages like R, Python and database query languages like SQL and statistical tests like distributions, regression etc. Experience in data visualization tools like tableau, QlikSense etc. Ability to write comprehensive reports, with an analytical mind and inclination for problem-solving. Exposure in advanced techniques like GenAI, neural networks, NLP, image and speech processing. Ability to engage with stakeholders to understand business requirements and convert the same into technical problems for solution development and deployment

Clean and organize large datasets for analysis and visualization using statistical methods; verify and ensure accuracy, integrity, and consistency of data Identifying trends and patterns in data and using this information to drive business decisions Create the requirement artefacts e.g., Functional specification document, use cases, requirement traceability matrix, business test cases and process mapping documents, user stories for analytics projects Build highly impactful and intuitive dashboards that bring the underlying data to life through insights Generate ad-hoc analysis for leadership to deliver relevant, action-oriented, and innovative recommendations Operational Excellence Improve data quality by using and improving tools to automatically detect issues Develop analytical solutions or dashboards using user-centric design techniques in alignment with ACT s protocol Study industry/organization benchmarks and design/develop analytical solutions to monitor or improve business performance across retail, marketing, and other business areas Stakeholder Management Work with high-performing Functional Consultants, Data Engineers, and cross-functional teams to lead / support the complete lifecycle of visual analytical applications, from development of mock-ups and storyboards to complete production ready application Provide regular updates to stakeholders to simplify and clarify complex concepts, and communicate the output of work to business Create compelling documentation or artefacts that connects business to the solutions Coordinate internally to share key learning with other teams and lead to accelerated business performance Behavioral Skills Delivery Excellence Business disposition Social intelligence Innovation and agility Knowledge Functional Analytics (Retail Analytics, Supply Chain Analytics, Marketing Analytics, Customer Analytics, etc.) Working understanding of Statistical modelling using Analytical tools (Python, PySpark, R, etc.) Enterprise reporting systems, relational (MySQL, Microsoft SQL Server, etc.), and non-relational (MongoDB, DynamoDB) database management systems Business intelligence & reporting (Power BI, Tableau, Alteryx, etc.) Cloud computing services in Azure/AWS/GCP for analytics Education Bachelor s degree in computer science, Information Management or related technical fields Experience 2 + years for Data Analyst Relevant working experience in a quantitative/applied analytics role Experience with programming and the ability to quickly pick up handling large data volumes with modern data processing tools, e.g. by using Spark / SQL / Python

Responsibilities: About the role: As a Junior/Senior Data Engineer, youll be taking the lead in designing and maintaining complex data ecosystems. Your experience will be instrumental in optimizing data processes, ensuring data quality, and driving data-driven decision-making within the organization. Architecting and designing complex data systems and pipelines. Leading and mentoring junior data engineers and team members. Collaborating with cross-functional teams to define data requirements. Implementing advanced data quality checks and ensuring data integrity. Optimizing data processes for efficiency and scalability. Overseeing data security and compliance measures. Evaluating and recommending new technologies to enhance data infrastructure. Providing technical expertise and guidance for critical data projects. Required skills & experience: Proficiency in designing and building complex data pipelines and data processing systems. Leadership and mentorship capabilities to guide junior data engineers and foster skill development. Strong expertise in data modeling and database design for optimal performance. Skill in optimizing data processes and infrastructure for efficiency, scalability, and cost-effectiveness. Knowledge of data governance principles, ensuring data quality, security, and compliance. Familiarity with big data technologies like Hadoop, Spark, or NoSQL. Expertise in implementing robust data security measures and access controls. Effective communication and collaboration skills for cross-functional teamwork and defining data requirements. Preferred skill sets: Cloud: Azure/GCP/AWS DE Technologies: ADF, Big Query, AWS Glue etc. Data Lake & Data Warehouse : Snowflake, Data Bricks , AWS Redshift etc. Education qualification: BE/BTECH, ME/MTECH,MCA Optional Skills Accepting Feedback, Active Listening, Analytical Thinking, Artificial Intelligence, Big Data, C++ Programming Language, Coaching and Feedback, Communication, Complex Data Analysis, Creativity, Data-Driven Decision Making (DIDM), Data Engineering, Data Lake, Data Mining, Data Modeling, Data Pipeline, Data Quality, Data Science, Data Science Algorithms, Data Science Troubleshooting, Data Science Workflows, Deep Learning, Embracing Change, Emotional Regulation

Managed Service Operations Analyst Senior As the world works and lives faster, FIS is leading the way. Our fintech solutions touch nearly every market, company and person on the planet. Our teams are inclusive and diverse. Our colleagues work together and celebrate together. If you want to advance the world of fintech, we d like to ask you: Are you FIS About the role: We are looking for initiative-taking individuals with significant operational knowledge of CDO/CLO market and its reporting requirements. You will be a part of our Loan syndication and operations team which is deadline driven and requires strong focus on service quality. Work closely with account managers and relationship managers to provide clients with world-class services and swift problem resolutions. We bring together market-leading growth solutions and premiere operational services which primarily serve the investment bank and broker-dealer community with front-to-back best-of-breed solutions. Our solutions include Loan syndication, capital market, private debt, and middle market. Data processing volumes require more than a billion transactions to be processed on any given product and that requires employing the latest technology stack and best of monitoring tools. About 2500 FIS employees around the globe working with our solutions. Total $1.1 Billion Annual Revenue 68 of our clients are FIS Top 125 clients. What you will be doing: The Structured CLO/CDO team provides collateral administration services, such as cash & data reconciliations, as well as portfolio testing & payment calculations. As the primary point of contact, the Trust Account Manager works alongside trustees and accountants and administers collateral/syndicated loan portfolios along with reporting on client portfolios. As a Managed Service Operations Analyst Senior, you should be familiar with Structured finance, CDO/CLO, Loan syndication and its life cycle. Acts as a Subject Matter Expert in key areas of compliance reporting and perform critical functions related to monthly reporting. You may have to liaise with client, external resources and internal teams to research on open/ items and take appropriate actions within the deadline provided. Develop and maintain standard operating procedures for any new and existing activities to ensure processing functions are completed accurately and timely with minimal risk exposure. Liaise with other departments within the process, (Front office, middle office, back office) as well as the external contacts. Oversee daily transaction & reporting activity of assigned outsourcing relationships Support personnel at client institutions in day-to-day routines and financial processing Guarantee quality service levels, perform daily servicing activities, ensuring timeliness and accuracy Assist in developing procedures that ensure processing functions are completed accurately and timely with minimal risk exposure May select, develop, and evaluate personnel to ensure the efficient operations May establish operational objectives, work plans, and assignment delegation What you will need: Bachelor s degree or the equivalent combination of education, training, and work experience. 7 to 14 years of relevant Industry experience . Deep understanding of CLO compliance structure and thorough understanding of different terminology used in the credit agreement & collateral agreement and its interpretation. Working knowledge of cash reconciliations, waterfall calculations, compliance testing, financial transaction processing, data analysis, and reporting. Client servicing experience and excellent interpersonal skills to build high levels of customer satisfaction. Excellent verbal and written communication skills Ability to interact effectively with clients, global counterparts. Establish strong relationship with global counterparts and should be capable of handling Global Queries and Issues. Proficient in Microsoft Excel. VBA Macro will be an added advantage. Candidate should be flexible to support business in extended hours. Excellent communicator ability to discuss concerns and issues with other support team.

Your opportunity to make a real impact and shape the future of financial services is waiting for you. Let s push the boundaries of whats possible together As an Applied AI/GenAI ML Director within the Asset and Wealth Management Technology Team at JPMorgan Chase, you will provide deep engineering expertise and work across agile teams to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. You will leverage your deep expertise to consistently challenge the status quo, innovate for business impact, lead the strategic development behind new and existing products and technology portfolios, and remain at the forefront of industry trends, best practices, and technological advances. This role will focus on establishing and nurturing common capabilities, best practices, and reusable frameworks, creating a foundation for AI excellence that accelerates innovation and consistency across business functions Job Responsibilities Lead the development and implementation of GenAI and Agentic AI solutions using Python to enhance automation and decision-making processes. Oversee the design, deployment, and management of prompt-based models on LLMs for various NLP tasks in the financial services domain. Conduct and guide research on prompt engineering techniques to improve the performance of prompt-based models within the financial services field, exploring and utilizing LLM orchestration and agentic AI libraries. Collaborate with cross-functional teams to identify requirements and develop solutions to meet business needs within the organization. Communicate effectively with both technical and non-technical stakeholders, including senior leadership. Build and maintain data pipelines and data processing workflows for prompt engineering on LLMs utilizing cloud services for scalability and efficiency. Develop and maintain tools and frameworks for prompt-based model training, evaluation, and optimization. Analyze and interpret data to evaluate model performance and identify areas of improvement. Required qualifications, capabilities, and skills Formal training or certification on Machine Learning concepts and 10+ years applied experience. In addition, 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise. Hands-on experience in building Agentic AI solutions. Familiarity with LLM orchestration and agentic AI libraries. Strong programming skills in Python with experience in PyTorch or TensorFlow. Experience building data pipelines for both structured and unstructured data processing. Experience in developing APIs and integrating NLP or LLM models into software applications. Hands-on experience with cloud platforms (AWS or Azure) for AI/ML deployment and data processing. Excellent problem-solving skills and the ability to communicate ideas and results to stakeholders and leadership in a clear and concise manner. Basic knowledge of deployment processes, including experience with GIT and version control systems. Hands-on experience with MLOps tools and practices, ensuring seamless integration of machine learning models into production environments. Preferred Qualifications, Capabilities, and Skills Familiarity with model fine-tuning techniques. Knowledge of financial products and services, including trading, investment, and risk management.

This is a remote position. 1. Python PySpark 2. Azure Cloud Services such Synapse Data Bricks Data Factory (Data Bricks is mandatory) 3. OOPS Concept 4. Data Modelling with scalability Key Responsibilities: Design, develop, and maintain scalable and robust data pipelines to support data processing and analysis. Collaborate with cross-functional teams to understand data requirements and implement effective solutions. Perform data modeling and design to ensure the integrity, availability, and performance of data systems. Implement and optimize ETL processes for extracting, transforming, and loading data from various sources into our data warehouse. Identify and troubleshoot data-related issues, ensuring data quality and integrity throughout the entire data lifecycle. Stay abreast of industry best practices and emerging technologies to continuously improve data engineering processes.

Job Description Job Description: Department: Knowledge Center Reports to: Head of Knowledge Center As a Knowledge Analyst, you will be responsible for collecting, curating, and classifying strategic data from internal and external sources. You will leverage smart tools and AI-powered platforms to accelerate data processing and ensure high-quality knowledge assets are available for consulting teams. Key Responsibilities: Curate and classify data from RFPs, project deliverables, and external publications. Use AI tools (e.g., NLP, document classification, semantic search) to automate and optimize data processing. Tag and organize content in a structured knowledge repository. Collaborate with consulting teams to understand data relevance and usage. Ensure data quality, consistency, and compliance with internal standards. Generate periodic reports and insights from curated data. Qualifications Bachelor s degree in Business, Information Management, or a related field. 2+ years of experience in data curation, knowledge management, or consulting support. Familiarity with document p

Its fun to work in a company where people truly BELIEVE in what they are doing! Were committed to bringing passion and customer focus to the business. Responsibilities (KRAs / deliverables/job expectations). Lead the development and integration of AI/ML models into web applications. Architect and optimize AI-driven web solutions using frameworks like TensorFlow, PyTorch, Scikit-learn etc. Oversee the deployment of AI models using cloud services (AWS, Azure, Google Cloud). Collaborate with cross-functional teams to define AI strategies and implementation. Guide the development of scalable web applications using Angular, C#, NestJS etc. Ensure efficient data processing and model deployment in production environments. Optimize AI models for performance, accuracy, and scalability . Stay updated with the latest AI/ML trends and web development technologies. Mentor junior engineers and foster a culture of innovation. Critical Success Factors (critical / high-impact aspects of role): Strong expertise in machine learning algorithms and deep learning frameworks . Proficiency in Python, JavaScript, and web development frameworks . Experience with RESTful APIs, cloud computing, and database management . Familiarity with MLOps tools for automating machine learning workflows. Understanding of frontend and backend development for AI-powered applications. Ability to work with large datasets and optimize AI models for production. Experience: 10+ years of overall Software development experience and 4+ years of experience in AI/ML software development. If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us! Not the right fit Let us know youre interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

Its fun to work in a company where people truly BELIEVE in what they are doing! Were committed to bringing passion and customer focus to the business. Responsibilities (KRAs / deliverables/job expectations). Lead the development and integration of AI/ML models into web applications. Architect and optimize AI-driven web solutions using frameworks like TensorFlow, PyTorch, Scikit-learn etc. Oversee the deployment of AI models using cloud services (AWS, Azure, Google Cloud). Collaborate with cross-functional teams to define AI strategies and implementation. Guide the development of scalable web applications using Angular, C#, NestJS etc. Ensure efficient data processing and model deployment in production environments. Optimize AI models for performance, accuracy, and scalability . Stay updated with the latest AI/ML trends and web development technologies. Mentor junior engineers and foster a culture of innovation. Critical Success Factors (critical / high-impact aspects of role): Strong expertise in machine learning algorithms and deep learning frameworks . Proficiency in Python, JavaScript, and web development frameworks . Experience with RESTful APIs, cloud computing, and database management . Familiarity with MLOps tools for automating machine learning workflows. Understanding of frontend and backend development for AI-powered applications. Ability to work with large datasets and optimize AI models for production. Experience: 10+ years of overall Software development experience and 4+ years of experience in AI/ML software development. If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us! Not the right fit Let us know youre interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!