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Head of Data Engineering<div>Job Summary: We are seeking a pragmatic and visionary Head of Data Engineering to lead our data engineering function through its next phase of growth and transformation. This role is not about building pipelines for their own sake—it’s about ensuring data engineering becomes a strategic enabler for insights, intelligence, and innovation. </div><div> </div><div>As the steward of our data platform, you will focus on data quality, cost governance, and operational efficiency—ensuring that our data team spends time where it matters: enabling analytics, ML, and decision-making at scale. You will work closely with product, marketing, and C-suite stakeholders, translating complex technical possibilities into clear business value.</div><div> </div><div>About the Team: This is a chance to build something enduring. You’ll join a team that values clarity over complexity, outcomes over activity, and learning over ego. Reporting directly to the CTO, you’ll shape how data unlocks value across every function in the company.</div><h4>What will you do?</h4><li>Own and evolve our data engineering strategy, balancing pragmatism with forward-thinking architecture.</li><li>Ensure data quality, availability, and accessibility across the organization, with clear SLAs and accountability.</li><li>Optimize data infrastructure and operations for cost-efficiency, scalability, and ease of use.</li><li>Build and lead a high-performing team of data engineers—instilling a culture of ownership, impact, and curiosity.</li><li>Partner with data science and ML teams to operationalize models and build AI-ready pipelines and platforms.</li><li>Serve as the connective tissue between technical and non-technical stakeholders—translating needs, aligning priorities, and ensuring data drives action.</li><li>Run and continuously improve core data programs, including ETL/ELT, data observability, and metadata governance.</li><li>Stay abreast of emerging tools and practices in modern data stacks, with a keen sense of what fits versus what dazzles.</li><li>Develop and communicate a data engineering roadmap aligned with company goals and future growth.</li><li>Nurture and grow the next line of awesome leaders from your already amazing org! Manage a scale data platform like no other! Prepare to be in a candy store if you like scale and ridiculous data loads.</li><h4>Who should apply for this role?</h4><li>Proven track record of building reliable, scalable, and cost-conscious data infrastructure.</li><li>Deep expertise in modern data tooling (e.g., Snowflake, dbt, Airflow, Kafka, Databricks, etc.) and cloud-native architectures.</li><li>Track record of corralling data in a consumer facing application. </li><li>Experience supporting ML/AI initiatives and integrating data engineering with model development and deployment.</li><li>Strong understanding of data governance, lineage, observability, and security best practices.</li><li>Excellent stakeholder management and communication skills—you’re as comfortable in an exec meeting as in a code review.</li><li>A bias for impact over perfection; you know when to ship, when to invest, and when to say “no.”</li> <div>About Us</div><div>Perched firmly at the nucleus of spellbinding content and innovative technology, JioStar is a leading global media &amp; entertainment company that is reimagining the way audiences consume entertainment and sports. Its television network and streaming service together reach more than 750 million viewers every week, igniting the dreams and aspirations of hundreds of million people across geographies.</div><div> </div><div> JioStar is an equal opportunity employer. The company values diversity and its mission is to create a workplace where everyone can bring their authentic selves to work. The company ensures that the work environment is free from any discrimination against persons with disabilities, gender, gender identity and any other characteristics or status that is legally protected</div>

Viacom18 Media Pvt Ltd

Data Engineer

Senior Data Scientist<div>Job Summary:</div><div>The role requires building models using advanced statistical, AI and machine learning techniques for enabling - a unique personalized experience that helps end consumers to make quick decisions on content consumption. Forecasting / Predicting the content preferences based on the rich diverse content that varies from live sports to VOD content on the platform. Better performing recommendation engines that can optimize on not just simple outcome metrics like but complex state machines and funnel conversions like user LTV.</div><div> </div><div>About the team:</div><div>The Central Analytics team is embedded within various business &amp; product teams in a matrix structure to be a thought partner and provide comprehensive data insights to drive strategic decisions. This team is the strategic enabler for JioHotstar’s content and marketing functions. In a world where consumers have endless entertainment choices, we help decode how they spend their time and why. At the core, we analyze consumer behavior, content preferences, and evolving entertainment needs. We design and leverage experiments, apply GenAI for innovative problem-solving, and build analytical frameworks that guide key decisions. Our goal: to keep teams sharp, informed, and focused on the KPIs and drivers that truly matter. </div><h4>What will you do?</h4><li>Analyze large datasets from various sources to identify trends, patterns, and actionable insights that help define and execute data-driven strategies for the Ads platform</li><li>Design, develop, and deploy statistical models, machine learning algorithms, generative AI models, and predictive analytics to optimize ad targeting, improve campaign performance, and maximize revenue</li><li>Integrate machine learning models into production systems to deliver real-time insights and automated decision-making capabilities</li><li>Collaborate closely with cross-functional teams, including Data Engineering, Product Management, Ad Tech, and Business teams, to understand business challenges and deploy end-to-end solutions</li><li>Continuously evaluate and improve data quality and model performance to ensure consistent, reliable, and accurate insights</li><li>Develop and execute A/B testing frameworks and experimental designs to validate algorithmic improvements and quantify business impact</li><li>Stay up-to-date with the latest advancements in data science, machine learning, and AI, and proactively incorporate cutting-edge techniques into models and the Ads platform</li><li>Present findings, methodologies, and business impact of data science initiatives to technical and non-technical stakeholders</li><h4>Who should apply for this role?</h4><li>Proven experience in data science and machine learning </li><li>Strong proficiency in Python, SQL, and relevant data science libraries (Pandas, Scikit-learn, TensorFlow, PyTorch, etc.)</li><li>Expertise in building and deploying machine learning models into production systems</li><li>Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Google Cloud)Deep understanding of statistical analysis, machine learning, data mining, and predictive modeling techniques</li><li>Should be comfortable leveraging LLMs and internals </li><li>Strong problem-solving skills with the ability to translate business problems into data science solutions</li><li>Excellent verbal and written communication skills, with the ability to present complex information to non-technical stakeholders</li> <div>About Us</div><div>Perched firmly at the nucleus of spellbinding content and innovative technology, JioStar is a leading global media &amp; entertainment company that is reimagining the way audiences consume entertainment and sports. Its television network and streaming service together reach more than 750 million viewers every week, igniting the dreams and aspirations of hundreds of million people across geographies.</div><div> </div><div> JioStar is an equal opportunity employer. The company values diversity and its mission is to create a workplace where everyone can bring their authentic selves to work. The company ensures that the work environment is free from any discrimination against persons with disabilities, gender, gender identity and any other characteristics or status that is legally protected.</div>

Data Scientist

Senior Analytics ConsultantAbout this role:Wells Fargo is seeking a Senior Analytics Consultant. In this role, you will:<ul><li>Consult, review and research moderately complex business, operational, and technical challenges that require an in-depth evaluation of variable data factors</li><li>Perform moderately complex data analysis to support and drive strategic initiatives and business needs</li><li>Develop a deep understanding of technical systems and business processes to extract data driven insights while identifying opportunities for engineering enhancements</li><li>Lead or participate on large cross group projects</li><li>Mentor less experienced staff</li><li>Collaborate and consult with peers, colleagues, external contractors, and mid-level managers to resolve issues and achieve goals</li><li>Leverage a solid understanding of compliance and risk management requirements for supported area</li></ul> Required Qualifications:<ul><li>4+ years of Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education</li></ul> Desired Qualifications:<ul><li>Consult, review and research moderately complex business, operational, and technical challenges that require an in-depth evaluation of variable data factors</li><li>Perform moderately complex data analysis to support and drive strategic initiatives and business needs</li><li>Develop a deep understanding of technical systems and business processes to extract data driven insights while identifying opportunities/enhancements</li><li>Lead or participate on large cross group projects</li><li>Mentor less experienced staff</li><li>Collaborate and consult with peers, colleagues, external contractors, and mid-level managers to resolve issues and achieve goals</li><li>Leverage a solid understanding of compliance and risk management requirements for supported area</li><li>Experience in Analytics, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education</li><li>Brokerage Industry Knowledge &amp; Experience</li><li>Experience using speech analysis technology</li><li>Knowledge and understanding of NICE or Nexidia Call Recording</li><li>Ability to translate complex technical needs into straightforward requests for information and collaboration, working with a wide range of people</li><li>Teradata experience</li><li>Ability to understand and write complex SQL queries</li><li>Experience using data visualization tools such as MicroStrategy or Tableau including report creation, dashboards, and graphical data representation</li><li>Extensive knowledge and understanding of research and analysis</li><li>Strong analytical skills with high attention to detail and accuracy</li><li>Excellent verbal, written, and interpersonal communication skills</li><li>Strong organizational, multi-tasking, and prioritizing skills</li><li>Experience providing analytical support to multiple business lines in a contact center environment</li><li>Demonstrated experience working with T-SQL, SSMS, SSRS, SSIS, Power Query, Power Pivot, and Teradata, Python, R Studio, PowerBI, Tableau and other BI tools.</li></ul>Posting End Date: 5 Nov 2025*Job posting may come down early due to volume of applicants.We Value Equal OpportunityWells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.Applicants with DisabilitiesTo request a medical accommodation during the application or interview process, visit <a href='\"https://www.wellsfargojobs.com/en/diversity/disability-inclusion/\"' target='\"_blank\"'>Disability Inclusion at Wells Fargo</a>.Drug and Alcohol Policy Wells Fargo maintains a drug free workplace.  Please see our <a href='\"https://www.wellsfargojobs.com/en/wells-fargo-drug-and-alcohol-policy\"' target='\"_blank\"'>Drug and Alcohol Policy</a> to learn more.Wells Fargo Recruitment and Hiring Requirements:a. Third-Party recordings are prohibited unless authorized by Wells Fargo.b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.

Wells Fargo India Solutions Pvt Ltd

Senior Analyst

Senior Data ScientistAbout this role:Wells Fargo is seeking a Senior Quantitative Analytics SpecialistSr. Quantitative Analytics Specialist is a partner-facing role and is responsible for delivering high impact analytic and data science projects by using analytics.AI Innovation &amp; Modeling is the central analytics group tasked with solving high-impact business challenges and standing up cutting-edge analytical capabilities to be shared across Wells Fargo’s analytic community.  We are looking for a high performer to join our team and help us solve challenging and interesting business problems through rigorous data analysis and predictive modeling.In this highly consultative and visible role, you will support development analytic projects from multiple business lines using various technology and techniques ranging from but not limited to supervised, unsupervised and semi-supervised machine learning, deep-learning, NLP, Gen AI, optimization algorithms in both edge nodes and in big data environments (like hortonworks, MapR, Aster etc.) In this role, you will:<ul><li>Perform highly complex activities related to creation, implementation, and documentation</li><li>Use highly complex statistical theory to quantify, analyze and manage markets</li><li>Forecast losses and compute capital requirements providing insights, regarding a wide array of business initiatives</li><li>Utilize structured securities and provide expertise on theory and mathematics behind the data</li><li>Manage market, credit, and operational risks to forecast losses and compute capital requirements</li><li>Participate in the discussion related to analytical strategies, modeling and forecasting methods</li><li>Identify structure to influence global assessments, inclusive of technical, audit and market perspectives</li><li>Collaborate and consult with regulators, auditors and individuals that are technically oriented and have excellent communication skills</li></ul> Required Qualifications:<ul><li>4+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education</li><li>Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science</li></ul> Desired Qualifications:<ul><li>Person would be required to work individually or as part of a team on data science projects and work closely with business partners across the organization.</li><li>He/she would be developing statistical/machine learning models using various techniques (supervised, unsupervised, semi-supervised) and technologies including but not limited to SAS, R, Python, Spark, H2O, Aster etc.</li><li>Design, develop, and fine-tune Generative AI models for various banking applications.</li><li>Engineer effective prompts to optimize model performance and output relevance.</li><li>Conduct comprehensive evaluations of Gen AI models and agentic systems to ensure accuracy, reliability, and ethical compliance.</li><li>Collaborate with cross-functional teams to integrate Gen AI capabilities into existing analytics workflows.</li><li>Develop frameworks for continuous monitoring and improvement of Gen AI models</li><li>BS/BA degree or higher in a quantitative field such as applied math, statistics, engineering, physics, accounting, finance, economics, econometrics, computer sciences, or business/social and behavioral sciences with a quantitative emphasis</li><li>Experience with supervise unsupervised &amp; semi supervise learning models</li><li>Experience with Deep-learning, Artificial intelligence techniques - NLP, Text mining, Image/Voice processing, digital analytics</li><li>Experience with Gen AI frameworks such as LangChain, LlamaIndex, and Hugging Face Transformers.</li><li>Expertise in prompt engineering techniques for large language models.</li><li>Hands-on experience with Gen AI model evaluation metrics and benchmarking tools.</li><li>Knowledge of agentic workflows and autonomous AI systems.</li><li>Familiarity with model interpretability and responsible AI practices in Gen AI.</li><li>Strong proficiency in python</li></ul>Job Expectations:<ul><li>Data mining and Insights</li><li>Trend Analysis, forecasting and pattern recognition</li><li>Find opportunities in the data and able to communicate to the partners</li><li>Consult with partners to define issues/information needs</li><li>Present findings to multiple levels of management</li><li>Ensure that analyses are delivered on time, while surpassing partner expectations</li><li>Ensure partner transparency throughout the life of the project</li><li>Proactively seek opportunities to increase the value of analysis</li><li>Strong oral and written communication and consultative skills</li></ul>Posting End Date: 2 Nov 2025*Job posting may come down early due to volume of applicants.We Value Equal OpportunityWells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.Applicants with DisabilitiesTo request a medical accommodation during the application or interview process, visit <a href='\"https://www.wellsfargojobs.com/en/diversity/disability-inclusion/\"' target='\"_blank\"'>Disability Inclusion at Wells Fargo</a>.Drug and Alcohol Policy Wells Fargo maintains a drug free workplace.  Please see our <a href='\"https://www.wellsfargojobs.com/en/wells-fargo-drug-and-alcohol-policy\"' target='\"_blank\"'>Drug and Alcohol Policy</a> to learn more.Wells Fargo Recruitment and Hiring Requirements:a. Third-Party recordings are prohibited unless authorized by Wells Fargo.b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.

Lead Quantitative Model Solutions SpecialistAbout this role:Wells Fargo is seeking a Lead Quantitative Model Soultions Specialist. In this role, you will:<ul><li>Lead complex, large-scale model maintenance, optimization, and planning initiatives related to operational processes, controls, reporting, testing, implementation, and documentation</li><li>Review and analyze complex multi-faceted model operations and optimization challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors </li><li>Develop model processes and optimization strategies for short- and long-term objectives; support and provide insights regarding a wide array of business initiatives</li><li>Make decisions in complex and multi-faceted situations requiring solid understanding of agile development</li><li>Influence global assessment of model maintenance schedules inclusive of engineering, structure, and scope of review following the System Development Life Cycle process, quality, security, and compliance requirements</li><li>Strategically collaborate and consult with peers, colleagues, and managers to resolve issues and achieve goals</li></ul> Required Qualifications:<ul><li>5+ years of quantitative model solutions or quantitative model operations experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education</li></ul> Desired Qualifications:<ul><li>Overall experience of 5-14 years in Risk Analytics</li><li>Degree in applied mathematics, statistics, engineering, physics, accounting, finance, economics, econometrics, computer sciences, or business/social and behavioral sciences with a quantitative emphasis.</li><li>Strong Quantitative Skills:<ul><li>5+ years of Predictive modeling experience. Good understanding of model development and model testing.</li><li>Proficient in statistical analysis</li><li>Good Problem Solving and Analytical Skills</li></ul></li><li>Programming Skills<ul><li>2+ years of hand- on experience in Python and SQL</li><li>1+ years of experience in SAS</li></ul></li><li>Good Written and Oral Communication Skills</li><li>Ability to prioritize work, meet deadlines, achieve goals and work under pressure in a dynamic and complex environment</li><li>Detail oriented, results driven, and has the ability to navigate in a quickly changing and high demand environment while balancing multiple priorities</li><li>Understanding of bank regulatory data sets and other industry data sources</li><li>Ability to research and report on a variety of issues using problem solving skills</li><li>Ability to make timely and independent judgment decisions while working in a fast-paced and results-driven environment</li></ul> Job Expectations:<ul><li>Lead and perform various complex activities related to model implementation, production and model analytics. Provide analytical support for developing, evaluating, implementing, monitoring and executing credit and PPNR models across commercial business vertical</li><li>Development of regulatory Credit risk (including CCAR, CECL and IFRS), RRP Valuation, and PPNR models for Commercial portfolio in SAS/Python.</li><li>Lead complex model development projects independently and support multiple priorities</li><li>Migration of existing development/implementation codes from SAS to Python with thorough testing and UAT </li><li>Work closely with team to understand and enhance the data and modeling process behind existing models, develop new models, address data and model issues/findings.</li><li>Underlying portfolio data research and analytics using strong programming skills</li><li>Adhere to audit and model validation governance to ensure data and modeling process are in compliance with policy and are working as intended, address model validation and regulatory feedback issues</li><li>Support ad-hoc analytic projects</li></ul>Posting End Date: 4 Nov 2025*Job posting may come down early due to volume of applicants.We Value Equal OpportunityWells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.Applicants with DisabilitiesTo request a medical accommodation during the application or interview process, visit <a href='\"https://www.wellsfargojobs.com/en/diversity/disability-inclusion/\"' target='\"_blank\"'>Disability Inclusion at Wells Fargo</a>.Drug and Alcohol Policy Wells Fargo maintains a drug free workplace.  Please see our <a href='\"https://www.wellsfargojobs.com/en/wells-fargo-drug-and-alcohol-policy\"' target='\"_blank\"'>Drug and Alcohol Policy</a> to learn more.Wells Fargo Recruitment and Hiring Requirements:a. Third-Party recordings are prohibited unless authorized by Wells Fargo.b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.

Associate Business Analyst

Senior Analytic ConsultantAbout this role:Wells Fargo is seeking a Senior Analytic Consultant. In this role, you will:<ul><li>Consult, review and research moderately complex business, operational, and technical challenges that require an in-depth evaluation of variable data factors</li><li>Perform moderately complex data analysis to support and drive strategic initiatives and business needs</li><li>Develop a deep understanding of technical systems and business processes to extract data driven insights while identifying opportunities for engineering enhancements</li><li>Collaborate and consult with peers, colleagues, external contractors, and managers to resolve issues and achieve goals</li><li>The Lead Analytics Consultants will:</li><li>Support the design and implementation of Power BI solutions and define required supporting data architecture (e.g., data marts, centralized data sources, ad hoc data sources) for internal clients</li><li>Manipulate and process large datasets using the analytical and reporting features of multiple tools</li><li>Field ad-hoc data analysis requests from LOB leaders.  The Business Execution Consultant will Documenting and capturing execution of affiliate service relationships</li><li>Assisting in the quarterly attestation/annual termination of service relationships</li><li>Triage support for multiple support channels and Support query resolution and Assist with chaser and escalation management</li><li>Perform default, loss, and prepayment forecasting on credit sensitive positions within the Analytics Portfolio</li><li>Participate in company stress testing and capital planning efforts surrounding the securities portfolio and Treasury mortgage portfolio</li><li>Advise line of business, companywide functions, and more experienced leadership on business strategies based on research of performance metrics, trends in population distributions, predictive scenario modeling, and other complex data to maximize profits and asset growth, and minimize operating losses within risk and other operating standards</li><li>Interpret and translate regulatory defined stress test scenarios into model parameters, evaluate results of stress test results, and interpretation of model output</li><li>Provide leadership in the identification and development of new research concepts and designs</li><li>Ensure adherence to compliance and legal regulations and policies on all projects managed</li><li>Provide updates on project logs, monthly budget forecasts, monthly newsletters, and operations reviews</li><li>Assist managers and leaders in building quarterly and annual plans and forecast future market research needs for business partners supported</li><li>Mentor or manage less experienced staff, interns, and external contractors</li><li>Collaborate and consult with peers, colleagues, and more experienced managers to resolve issues and achieve goals</li><li>Lead projects, teams, or serve as a peer mentor</li></ul> Required Qualifications:<ul><li>4+ years of Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education</li></ul> Desired Qualifications:<ul><li>Advanced Excel, SQL, SSIS, Power BI/data visualization, Requirements and technical documentation, Agile experience and Nice to have: Python</li></ul> Job Expectations:<ul><li>support the design and implementation of Power BI solutions and define required supporting data architecture (e.g., data marts, centralized data sources, ad hoc data sources) for internal clients</li><li>Manipulate and process large datasets using the analytical and reporting features of multiple tools</li><li>Field ad-hoc data analysis requests from LOB leaders. </li><li>The Business Execution Consultant will:</li><li>Documenting and capturing execution of affiliate service relationships</li><li>Assisting in the quarterly attestation/annual termination of service relationships</li><li>Triage support for multiple support channels</li><li>Support query resolution</li><li>Assist with chaser and escalation management</li></ul>Posting End Date: 27 Nov 2025*Job posting may come down early due to volume of applicants.We Value Equal OpportunityWells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.Applicants with DisabilitiesTo request a medical accommodation during the application or interview process, visit <a href='\"https://www.wellsfargojobs.com/en/diversity/disability-inclusion/\"' target='\"_blank\"'>Disability Inclusion at Wells Fargo</a>.Drug and Alcohol Policy Wells Fargo maintains a drug free workplace.  Please see our <a href='\"https://www.wellsfargojobs.com/en/wells-fargo-drug-and-alcohol-policy\"' target='\"_blank\"'>Drug and Alcohol Policy</a> to learn more.Wells Fargo Recruitment and Hiring Requirements:a. Third-Party recordings are prohibited unless authorized by Wells Fargo.b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.

Senior Applied & Data ScientistAbout the jobLocation: Bangalore Career Level: IC3Oracle Cloud Infrastructure (OCI) is at the forefront of cloud innovation, blending the agility of a startup with the reliability of a leading enterprise software provider. Our AI Science team pioneers state-of-the-art machine learning solutions that empower customers and solve complex real-world problems at scale. We’re looking for an experienced Sr. Applied Science (IC3) with deep hand-on experience in Generative AI and Computer Vision area to develop highly complex and accurate data science model. In this role, you will develop of secure, scalable, and innovative AI solutions leveraging cutting-edge techniques in computer vision, Large multimodal models and other GenAI technologies.As a Senior Applied Scientist, you will develop and deploy state-of-the-art computer vision solutions leveraging generative AI technologies such as Large multimodal models and computer vision technologies such as image classification, object detection, vision grounding etc. This individual contributor(IC) role will build best-in-class computer vision solutions at scale. is perfect for a hands-on data science architecture design and is eager to drive innovation and excellence in AI and computer vision area. You will partner with the Product and Engineering managers to influence strategic decisions, drive experimentation and communicate results to higher managements. You will build best-in-class LLM/LMM/computer vision solutions for the Oracle business domain at scale. You will also partner with Product Management, Data Labelling and Engineering teams to get to develop build best-in-class computer vision solutions at scale. The ideal candidate has extensive experience with computer vision techniques, deep learning techniques, model serving, and a demonstrated ability to think strategicallyabout business, product, and technical challenges to contribute to the development of current and future vision services. Key  Responsibilities<ul><li>Development of advanced AI models and algorithms, focusing on large language model, large multimodal, computer vision and foundation models.</li><li>Design, implement and test the critical module/features of AI service that are correct, highly available, scalable, and cost-effective.</li><li>Champion best practices for testing, benchmarking, and model validation to ensure reliability and performance.</li><li>Analysis of ML models, and optimizing models for accuracy and latency.</li><li>Large-scale training &amp; production deployment with ML models.</li><li>Own data analysis, feature engineering, technique selection &amp; implementation, debugging, and maintenance of production model.</li><li>Experience implementing machine learning algorithms or research papers from scratch to production.</li><li>Work with large, complex data sets.</li><li>Proactively identify the technical issues/bugs and provide innovative solutions.</li><li>File patent and publication as by product of solving complex business problems</li><li>Partner closely with product managers, engineering leads, and annotation/data teams to define requirements, data quality assurance and acceptance of data/annotation as required.</li><li>Leverage Oracle Cloud technology.</li></ul>Preferred QualificationsPh.D. (preferred) or Master’s in Computer Science, Machine Learning, Computer Vision, or related field.<ul><li>PhD in computer vision or 2+ years of Experience designing, implementing and deploying computer vision models in production environments</li></ul>Expertise in GenAI, LLMs, LMMs, object detection, facial recognition, and image classification.Strong foundation in deep learning architectures such as CNNs, transformers, diffusion models, and multimodal models.<ul><li>Expert in at least one high level language such as Python/Java/C++</li><li>Practical experience in ML algorithm design, model training and production deployment using microservices architecture</li><li>Practical experience working in a cloud environment: Oracle Cloud (OCI), AWS, GCP, Azure or similar technology.</li><li>Experience or willingness to learn and work in Agile and iterative development processes.</li><li>Strong drive to learn and master new technologies and techniques.</li><li>Deep understanding of data structures, algorithms, and excellent problem-solving skills.</li><li>You enjoy a fast-paced work environment.</li></ul>

Oracle Financial Services Software Ltd

Senior - Dev-Data-Pipeline<h4>Description</h4>About KPMG in IndiaKPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada. KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment.Alteryx Developer 
 <table><tbody><tr><td>Equal employment opportunity information  KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you. </td></tr></tbody></table><h4>Qualifications</h4>Bachelors degree

Kpmg India Services Llp

Senior - Data Science<h4>Description</h4>About KPMG in IndiaKPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada. KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment.data science 
 <table><tbody><tr><td>Equal employment opportunity information  KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you. </td></tr></tbody></table><h4>Qualifications</h4>B.E

Analyst - Investigations<h4>Description</h4>About KPMG in IndiaKPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada. KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment.Python, SQL, Excel. Has experience in Machine learning.  <table><tbody><tr><td>Equal employment opportunity information  KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you. </td></tr></tbody></table><h4>Qualifications</h4>i. Post Graduate Diploma in Data Science and Engineering
ii. Bachelor of Technology in Electrical and Electronics Engineering

Claims Examiner

Applied Scientist 4Invent, implement and deploy state-of-the-art machine learning and/or specific domain industry algorithms and systems. Build prototypes and explore conceptually new solutions. Work collaboratively with science, engineering, and product teams  to identify customer needs in order to create and implement solutions, promote innovation and drive model implementations.  Applies data science capabilities and research findings to create and implement solutions to scale. Responsible for developing new intelligence around core products and services through applied research on behalf of our customers.  Develops models, prototypes, and experiments that pave the way for innovative products and services.  Build cloud services that work out of the box for enterprises, e.g. decision support, anomaly detection, forecasting and recommendations), natural language processing (NLP),  Natural Language Understanding (NLU),Time Series, Automatic Speech Recognition (ASR),  Machine Learning (ML), and Computer Vision (CV). Design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. Conversant on ethical problems in consideration of sciences.

Science Mentor

Senior Applied Scientist (OCI) - Product Development – Gen AI and AI Solutions EngineeringOracle Cloud Infrastructure blends the speed of a startup with the scale of an enterprise leader. Our Generative AI and AI Solutions Engineering team builds advanced AI solutions that run on powerful cloud infrastructure tackling real-world, global challenges. In this role, you will:<ul><li>Design, build, and deploy cutting-edge machine learning and generative AI systems, with a focus on Large Language Models (LLMs), AI agents, Retrieval-Augmented Generation (RAG), and large-scale search.</li><li>Collaborate with scientists, engineers, and product teams to turn complex problems into scalable, cloud-ready AI solutions for enterprises.</li><li>Develop models and services for decision support, anomaly detection, forecasting, recommendations, NLP/NLU, speech recognition, time series, and computer vision.</li><li>Run experiments, explore new algorithms, and push the boundaries of AI to optimize performance, customer experience, and business outcomes.</li><li>Ensure ethical and responsible AI practices in all solutions.</li></ul>We’re looking for a Senior Applied Scientist with deep expertise in applied ML/AI, hands-on experience building production-grade solutions, and the creativity to innovate at the intersection of AI and enterprise cloud.

Senior - Data Science<h4>Description</h4>About KPMG in IndiaKPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada. KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment.Data Science 
 <table><tbody><tr><td>Equal employment opportunity information  KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you. </td></tr></tbody></table><h4>Qualifications</h4>B.E / B.Tech / Post Graduate

Assistant Manager - Data Science<h4>Description</h4>About KPMG in IndiaKPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada. KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment.Data Science 
 <table><tbody><tr><td>Equal employment opportunity information  KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you. </td></tr></tbody></table><h4>Qualifications</h4>B.E

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