41 Data Exploration Jobs

As a valuable member of our team, you will collaborate with cross-functional teams to effectively translate business requirements into technical specifications for various data exploration, analysis, and modeling use cases. You will play a crucial role in gaining a comprehensive understanding of the data flow process, from applications to databases and reports. Additionally, you will be responsible for designing and implementing robust machine learning models, ensuring their successful deployment to production environments. Ideally, you should possess a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field. This educational background will provide you with the necessary foundation to excel in this role and contribute significantly to our data-driven initiatives.,

The role requires strategic thinking and technical expertise with a strong background in financial crime detection and prevention, particularly using advanced analytical methodologies. You will be responsible for designing, developing, and deploying analytics/models to detect suspicious activities and financial crime. The ideal candidate will possess technical expertise, a strategic mindset for enhancing Transaction Monitoring effectiveness, and a good familiarity with compliance regulations in the financial sector. You will be expected to design, develop, and deploy models for anomaly detection, behavior profiling, network analysis, and predictive scoring for Transaction Monitoring Solutions. Additionally, you will act as a single Point of Contact for assigned AML Transaction Monitoring Modeling related matters. Your responsibilities will include data exploration, feature engineering, and ensuring that models are accurate, efficient, and scalable. Furthermore, you will support analytical processes to enhance Transaction Monitoring red flag monitoring and optimize cases for investigation through AI/ML models and analytical processes. You will also work on improving processes such as threshold tuning, reconciliation, segmentation, and optimization associated with the Transaction Monitoring function across various products. As the role holder, you will be accountable for ensuring that all processes/models follow the Bank's governance process, including Model Risk Policy Governance and Risk-Based Rule review. Key Responsibilities: - Conceptualize, design, support, and align relevant processes and controls to industry best practices, and address any compliance gaps. - Mentor and conduct training programs to bring new joiners and the team up to speed on new business requirements. - Provide endorsement for changes or remediation activities impacting AML Optimization models and engage with relevant stakeholders for deploying the changes to production. - Work on processes such as threshold tuning, reconciliation, segmentation, and optimization associated with the Transaction Monitoring function across various products. - Work towards the collective objectives and scorecard of the business function published periodically in the form of job and performance objectives. Skills and Experience: - Provide coaching to peers and new hires to ensure they are highly engaged and performing to their potential. - Promote and embed a culture of openness, trust, and risk awareness, where ethical, legal, regulatory, and policy-compliant conduct is the norm. - Apply Group and FCC policies and processes to manage risks effectively. - Engage with Business/Segment stakeholders to understand emerging risks and ensure they are suitably addressed through Monitoring coverage. - Attend relevant business/segment/product-related working group meetings and ensure tracking and remediation of surveillance and investigations related regulatory findings. Qualifications: - 8+ years of hands-on experience in Transaction Monitoring design and development, with at least 5 years focused on financial crime threat risk mitigation. - Strong background in deploying models within TM or compliance environment with a solid understanding of AML/CFT regulations. - Strong coding skills in Python, R, SQL, and familiarity with data engineering practices for model integration.,

As a Data Analyst within the New Age Data & Analytics department, your primary objective will be to acquire a profound understanding of the business operations. Your role will involve identifying opportunities where analytical solutions can be leveraged to enhance decision-making processes and drive positive business outcomes. This position encompasses both technical and functional aspects, offering you the chance to engage closely with business stakeholders and explore innovative analytical methodologies. Your responsibilities will include scoping business requirements and priorities by thoroughly analyzing the retail portfolio. You will be expected to develop expertise in data analysis to extract valuable insights from various data sources, including source systems and data marts. Designing and implementing analytical solutions tailored to meet business needs will be a crucial part of your role. In this role, you will be encouraged to explore cutting-edge algorithms and advanced computational techniques to create robust models and analytical frameworks. Conducting case reviews to introduce innovative variable ideas and establishing processes and controls to ensure the accuracy of data, analyses, and recommendations will be essential tasks. Additionally, understanding model governance principles and tracking key model and variable metrics will be part of your responsibilities. You will be expected to challenge the status quo to drive efficiency in existing processes and foster strong relationships with multiple stakeholder teams to facilitate collaboration and achieve consensus on outcomes. Understanding the broader impact of analytical solutions on business outcomes will be a key aspect of your role. Key Result Areas for this position include developing robust analytical solutions and models, timely project delivery, and establishing effective partnerships with key stakeholders. To qualify for this role, you should hold a Bachelor's degree in Science (B.Sc), Technology (B.Tech), or Computer Applications (BCA). Additionally, a Master's degree in Science (M.Sc), Technology (M.Tech), or Computer Applications (MCA) would be advantageous. The ideal candidate should have 2 to 5 years of relevant experience in the field of data analysis. Your role as a Data Analyst presents an exciting opportunity to contribute to the strategic goals of the organization through data-driven insights and innovative analytical solutions.,

Responsibilities : Conduct feature engineering , data analysis , and data exploration to extract valuable insights. Develop and optimize Machine Learning models to achieve high accuracy and performance . Design and implement Deep Learning models , including Artificial Neural Networks (ANN) , Convolutional Neural Networks (CNN) , and Reinforcement Learning techniques. Handle real-time imbalanced datasets and apply appropriate techniques to improve model fairness and robustness . Deploy models in production environments and ensure continuous monitoring , improvement , and updates based on feedback. Collaborate with cross-functional teams to align ML solutions with business goals . Utilize fundamental statistical knowledge and mathematical principles to ensure the reliability of models. Bring in the latest advancements in ML and AI to drive innovation . Required Skills : 4-5 years of hands-on experience in Machine Learning and Deep Learning . Strong expertise in feature engineering , data exploration , and data preprocessing . Experience with imbalanced datasets and techniques to improve model generalization . Proficiency in Python , TensorFlow , Scikit-learn , and other ML frameworks . Strong mathematical and statistical knowledge with problem-solving skills. Ability to optimize models for high accuracy and performance in real-world scenarios . Preferred Skills : Experience with Big Data technologies (e.g., Hadoop , Spark ). Familiarity with containerization and orchestration tools (e.g., Docker , Kubernetes ). Experience in automating ML pipelines with MLOps practices . Experience in model deployment using cloud platforms ( AWS , GCP , Azure ) or MLOps tools .

As a GenAI Model Developer, your role will involve building and deploying GenAI Models using techniques such as RAG and Fine Tuning. You will be responsible for developing AI/ML algorithms to analyze large volumes of historical data in order to make predictions and recommendations. Additionally, you will implement and optimize deep learning models for generative tasks like image synthesis and voice applications. Collaboration with software engineers to integrate Generative AI models into production systems will be a key aspect of your role. You should be able to evaluate application cases and the problem-solving potential of AI/ML algorithms, ranking them according to their likelihood of success. This will involve comprehending data through exploration and visualization, as well as identifying discrepancies in data distribution. Working with both structured and unstructured data, you will develop various algorithms based on statistical modeling procedures and build scalable machine learning solutions for production. Leveraging cloud platforms for training and deploying large-scale solutions, with a preference for AWS, will also be part of your responsibilities. You should have a working knowledge of managing the ModelOps framework and understand CI/CD processes for product deployment. Collaborating with data engineers to build data and model pipelines, ensuring accuracy, will be essential. You are expected to take complete ownership of assigned projects and have experience working in Agile environments. Proficiency in tools such as JIRA or equivalent project tracking tools is required to succeed in this role.,

As an AVP (IC SME), MIS at Citi within the Operations Analytics & MIS team, you will play a crucial role in driving data-driven initiatives across the organization. Your primary objective will be to generate actionable intelligence for business leaders, focusing on proactive insight generation, early warning systems, automated commentaries, and acting as a vital bridge between business stakeholders and analytics capabilities. Leveraging your technical expertise, analytical skills, and leadership abilities, you will contribute to streamlining processes, improving efficiency, and achieving strategic goals. Your responsibilities will include: - Data Exploration: Understanding existing data & reporting by engaging with various platforms and individuals across business teams and technology. - Data Analysis & Interpretation: Conducting in-depth data analysis to identify trends, patterns, and anomalies, and developing data-driven insights to enhance business performance. - Data Infrastructure Management & Optimization: Managing and optimizing data infrastructure supporting reporting capabilities, ensuring scalability, reliability, and security. - Reporting Solution Design & Development: Designing, developing, and maintaining complex reporting solutions that offer actionable insights into business performance. - Technical Leadership & Mentorship: Providing guidance and mentorship to junior team members on best practices in data analysis, reporting, and data infrastructure management. - Stakeholder Management: Collaborating effectively with cross-functional teams, managing expectations, and ensuring alignment on project goals and deliverables. - Project Management: Leading multiple automation projects from inception to completion, ensuring adherence to timelines, budgets, and governance. - Dashboarding and Visualization: Developing visually compelling dashboards that support decision-making and drive adoption. - Governance & Compliance: Establishing and maintaining appropriate governance processes to ensure compliance with requirements and internal standards. Qualifications required for this role include: - Experience: At least 8+ years with a Masters in a relevant domain or 10+ years with a Bachelors in a relevant domain. - Knowledge of database management systems (e.g., DWH, EAP, SQL Server, Oracle). - Proficiency in data analysis techniques and tools (e.g., SQL, Python, data visualization software). - Strong analytical and problem-solving skills with a passion for data, analytics, and automation. - Good understanding of the banking domain, banking products, and operations in banking. - Excellent communication, interpersonal, and stakeholder management skills. - Demonstrated ability to drive change and innovation. - Ability to learn quickly and adapt to new technologies. - Experience with data visualization tools such as Tableau or Power BI is preferable. - Proven ability to lead, motivate, and develop high-performing teams. Joining Citi means becoming part of a global family of more than 230,000 dedicated individuals. It's not just a job; it's a career where you can grow, give back to your community, and make a real impact.,

Job Description: Spark, Java Strong SQL writing skills, data discovery, data profiling, Data exploration, Data wrangling skills Kafka, AWS s3, lake formation, Athena, glue, Autosys or similar tools, FastAPI (secondary) Strong SQL skills to support data analysis and imbedded business logic in SQL, data profiling and gap assessment Collaborate with development and business SMEs within technology to understand data requirements, perform data analysis to support and Validate business logic, data integrity and data quality rules within a centralized data platform Experience working within the banking/financial services industry with solid understanding of financial products and business processes

As a Data Scientist at WAC, you will play a crucial role in transforming intricate data into actionable insights that drive business strategies and foster innovation. Your primary responsibility will involve collaborating with diverse teams to create and implement data science solutions that align with our business objectives. Your tasks will include data exploration, where you will gather, cleanse, and preprocess data from a variety of sources to ensure its quality and reliability. Leveraging advanced statistical and machine learning techniques, you will conduct in-depth analyses to derive meaningful insights. Additionally, you will be responsible for developing, refining, and optimizing predictive models that tackle specific business challenges and opportunities. Creating visually engaging reports and dashboards to present findings to technical and non-technical stakeholders will be a key aspect of your role. You will also be involved in formulating and testing hypotheses, as well as designing and executing A/B tests to evaluate the impact of changes and enhancements. Your ability to communicate complex technical findings in a clear and understandable manner will be vital in supporting decision-makers. Collaboration will be integral to your work, as you will liaise with teams across the organization to grasp business goals and provide data-driven insights and recommendations. Continuous learning is encouraged, and staying abreast of the latest trends in data science, machine learning, and analytics will enable you to apply cutting-edge techniques and tools effectively. To qualify for this role, you should hold a Master's or Ph.D. degree in a relevant field such as Data Science, Statistics, Computer Science, or related disciplines. With a minimum of 4 years of experience in a Data Scientist or similar position, you must demonstrate proficiency in data analysis tools and languages like Python or R. A strong grasp of machine learning techniques and libraries, coupled with familiarity with data visualization tools such as Tableau or Power BI, is essential. Your problem-solving abilities, critical thinking skills, and aptitude for effective communication, especially in simplifying complex technical concepts for non-technical stakeholders, will be crucial. An understanding of data ethics and the responsible use of data is also expected from potential candidates. Thank you for your interest in joining Webandcrafts. We eagerly anticipate delving deeper into your application to assess your suitability for this role.,

We are looking for a highly skilled and experienced Marketing Cloud Testing team member to join our Marketing Automation team. In this role, you will work closely with brand teams, understand various data sources, build data ingestion pipelines, and test end-to-end data ingestion layers, data models, and visualization dashboards based on predefined test scripts. Your responsibilities will include building end-to-end test scripts for each release, running test scripts using testing platforms like Proton, documenting results, identifying bugs and errors, and collaborating with the development team to resolve issues. You will also audit technical developments, validate source data matching with MCI, create and update knowledge documents, design testing strategies, participate in data exploration and mapping activities, and maintain standard operating procedures for smooth operations of visualization data and insights. The ideal candidate should have a minimum of 3-4 years of experience in Dataroma/MCI as a hands-on developer, familiarity with visualization platforms like Tableau, Qlik, or Power BI, experience with data platforms and ETL tools such as Informatica, Alteryx, or DataIKU, and prior exposure to testing automation platforms. Excellent written and verbal communication skills, strong interpersonal and analytical skills, and the ability to provide efficient, timely, and reliable service to customers are essential. Knowledge of the Data Engineering & Business Intelligence ecosystem, Salesforce MCI certification, and familiarity with AppExchange deployment, Flow, Aura component, and Lightning Web component will be advantageous. At Novartis, we are committed to fostering an inclusive work environment and building diverse teams that reflect the patients and communities we serve. We strive to provide accessibility and reasonable accommodations to individuals with disabilities throughout the recruitment process. If you require an accommodation due to a medical condition or disability, please reach out to diversityandincl.india@novartis.com with your request and contact information, mentioning the job requisition number. By joining Novartis, you will become part of a community dedicated to helping people with diseases and their families through innovative science and collaborative teamwork. If you are ready to contribute to breakthroughs that positively impact patients" lives, we invite you to explore career opportunities with us. To stay connected and informed about future career opportunities at Novartis, you can sign up for our talent community here: https://talentnetwork.novartis.com/network For more information on the benefits and rewards offered at Novartis, please refer to our handbook: https://www.novartis.com/careers/benefits-rewards,

Join us as a Data Engineer, VP with the leading MNC in Banking Domain. You will be the voice of our customers, using data to tell their stories and put them at the heart of all decision-making. We will look to you to drive the build of effortless, digital-first customer experiences. If you are ready for a new challenge and want to make a far-reaching impact through your work, this could be the opportunity you are looking for. As a Data Engineer, you will simplify our organization by developing innovative data-driven solutions through data pipelines, modeling, and ETL design. You will inspire to be commercially successful while keeping our customers and the bank's data safe and secure. Your role will involve driving customer value by understanding complex business problems and requirements to correctly apply the most appropriate and reusable tools to gather and build data solutions. You will support our strategic direction by engaging with the data engineering community to deliver opportunities and carrying out complex data engineering tasks to build a scalable data architecture. Your responsibilities will include building advanced automation of data engineering pipelines through the removal of manual stages, embedding new data techniques into our business through role modeling, training, and experiment design oversight, delivering a clear understanding of data platform costs to meet your department's cost-saving and income targets, sourcing new data using the most appropriate tooling for the situation, and developing solutions for streaming data ingestion and transformations in line with our streaming strategy. To thrive in this role, you will need a strong understanding of data usage and dependencies and experience of extracting value and features from large-scale data. You will also bring practical experience of programming languages alongside knowledge of data and software engineering fundamentals. Additionally, you will need experience of ETL technical design, data quality testing, cleansing, and monitoring, data sourcing, and exploration and analysis, data warehousing, and data modeling capabilities, a good understanding of modern code development practices, experience of working in a governed and regulatory environment, and strong communication skills with the ability to proactively engage and manage a wide range of stakeholders.,

As a Product Manager at our company, you will be responsible for leveraging your expertise in product analytics and data management to contribute significantly to our product team. Your primary focus will involve analyzing user behavior, tracking product performance, and influencing the product roadmap based on data insights. By effectively extracting, exploring, and evaluating data, you will be able to spot opportunities, drive strategic product decisions, and provide value to our users and the business. In this role, you will be expected to blend analytical thinking with product strategy, seamlessly transitioning between in-depth data analysis and product implementation. Your passion for creating products driven by measurable outcomes will be instrumental in shaping our product offerings and achieving success. This position offers a unique opportunity to make a high impact within the organization and is ideal for individuals who are adept at navigating the intersection of data analytics and product development. If you are enthusiastic about building products that are informed by data-driven decisions and are eager to drive innovation, this role is perfect for you.,

Your Role 35 years of hands-on experience with BigID or similar data discovery/classification tools (e.g., Varonis, Informatica, and MIP). Strong understanding of data governance, data privacy, and compliance regulations (GDPR, CCPA, SOX, SEBI etc.). Experience working with structured data in RDBMS (Oracle, MS SQL Server, and PostgreSQL) and unstructured data sources (file servers, SharePoint, cloud repositories). Proficiency in configuring BigID policies, classifiers, data flows, and discovery and classification operations modules. Experience integrating BigID with security tools like Microsoft Information Protection, DLP solutions, or SIEM platforms. Familiarity with metadata management, data catalogs, and data lineage concepts Your Profile Design, implement, and manage data discovery and classification workflows using the BigID platform for both structured (e.g., databases, data warehouses) and unstructured data (e.g., file shares, SharePoint, email). Configure and maintain BigID connectors to integrate with enterprise data sources including databases (Oracle, SQL Server, MySQL), cloud storage (AWS S3, Azure Blob), collaboration platforms (O365, Google Drive), and more. Define and customize classification policies, sensitivity labels, and data tagging rules to align with organizational data governance and compliance frameworks (e.g., GDPR, CCPA, SEBI, DORA etc.). Collaborate with data owners, security teams, and compliance stakeholders to identify sensitive data types (PII, PCI, etc.) and apply appropriate classification and protection strategies. Integrate BigID with Microsoft Information Protection (MIP) and other DLP platforms or IRM tools to automate labeling and enforcement policies. Monitor discovery scans and classification jobs, troubleshoot issues, and optimize performance. Generate and present reports and dashboards to stakeholders, highlighting data classification coverage, risk areas, and remediation plans. What You"ll love about working hereShort Description We recognize the significance of flexible work arragemnets to provide support.Be it remote work, or flexible work hours. You will get an enviorment to maintain healthy work life balance. At the heart of our misssion is your career growth. our Array of career growth programs and diverse professions arecrafted to spport you in exploring a world of opportuneties Euip Yourself with valulable certification in the latest technlogies such as unix,Sql.

This is a full-time position with D Square Consulting Services Pvt Ltd based in Bangalore and requires 6-8 years of experience. The work mode for this role is Onsite and the candidate who can join within 15 days may only apply. As an AI/ML Engineer, you will be responsible for leading the end-to-end design, development, and deployment of advanced AI/ML solutions for digital marketing and analytics. Your role will involve driving innovation, leveraging cutting-edge techniques, and standardizing multi-cloud model deployment through collaboration to deliver profound data insights. To qualify for this role, you should have a Bachelor's degree in Computer Science, Data Science, ML, Mathematics, Statistics, Economics, or related fields with an emphasis on quantitative methods. Additionally, you should possess 6-7 years of experience in software engineering with expertise in the full lifecycle of ML model development, deployment, and operationalization. Your ability to write robust, efficient, and scalable Python, Java, Spark, and SQL code following industry best practices is crucial. You should have extensive experience with major ML frameworks such as TensorFlow, PyTorch, Scikit-learn, advanced deep learning libraries, and strong knowledge of diverse ML algorithms. Experience in deploying and managing AI/ML models on major cloud platforms like Azure, AWS, GCP is required. Experience with LLMs and generative AI is highly desirable. In this role, you will lead cross-functional teams to deliver and scale complex AI/ML solutions, architect, design, develop, train, and evaluate high-performance AI/ML models. You will drive implementation, deployment, and maintenance of AI/ML solutions, oversee data exploration, preprocessing, feature engineering, and data pipeline development. Furthermore, you will establish strategies for continuous testing, validation, and monitoring of deployed AI/ML models, collaborate with senior stakeholders to translate business requirements into scalable AI solutions, and champion the adoption of the latest AI/ML technologies and best practices. Your problem-solving skills, communication abilities, and experience in classification, time series forecasting, customer lifetime value models, LLMs, and generative AI from Retail, eCommerce, or CPG industry will be beneficial in this role. Join us in fostering innovative thinking and continuous improvement in AI/ML technologies to maximize business value.,

About the Role: We are looking for a Product Manager who possesses a solid background in product analytics and practical experience in managing data sets to become a part of our product team. Your main responsibility will revolve around shaping the product roadmap through the analysis of user behavior, continuous monitoring of product performance, and driving data-informed features. Your proficiency in extracting, exploring, and assessing data will enable you to uncover potential opportunities, make impactful product choices, and provide value for both users and the organization. This role is of high significance for individuals who are adept at blending analytical reasoning with product strategy, seamlessly transitioning between in-depth data analysis and product implementation, and have a fervor for creating products that are influenced by clear and measurable outcomes.,

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasnt happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Targets global team and has more than 4,000 team members supporting the companys global strategy and operations. Pyramid Overview As a Senior AI Engineer in Data Sciences, you will play crucial role in designing , implementing, and optimizing the AI solutions in production. Additionally, youll apply best practices in software design, participate in code reviews, create a maintainable well-tested codebase with relevant documentation. We will look to you to understand and actively follow foundational programming principles (best practices, know about unit tests, code organization, basics of CI/CD etc.) and create a well-maintainable & tested codebase with relevant documentation. You will get the opportunity to develop in one or more approved programming languages (Java, Scala, Python, R), and learn and adhere to best practices in data analysis and data understanding. Team Overview The Content Creation team within Data Sciences will help build AI solutions leveraging GenAI , computer vision and traditional ML models for various marketing or site content use-cases . The team will play a crucial role in helping Target drive relevancy with guests. P osition Overvie w Support Development of Generative AI ApplicationsArchitect and develop advanced generative AI solutions that support business objectives , ensuring high performance and scalability. Performance Tuning & Optimization Identify bottlenecks in applications and implement strategies to improve performance. Optimize machine learning models for efficiency in production environments. Collaborate Cross-FunctionallyWork closely with data scientists, product managers, and other stakeholders to gather requirements and transform them into robust technical solutions. Research & InnovationStay abreast of the latest advancements in the field of Artificial Intelligence. Propose new ideas that could lead to innovations within the organization. Deployment & Scaling Strategies Support the deployment process of applications on cloud platforms while ensuring they are scalable to handle increasing loads without compromising performance. Documentation & Quality AssuranceDevelop comprehensive documentation for projects undertaken. Implement rigorous testing methodologies to ensure high-quality deliverables. About You 4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) or equivalent experience Masters in Computer Science or o ver 3 plus years of experience in end-to-end application development, data exploration, data pipelining, API design, optimization of model latency Experience in working with image, text data, embeddings , building & deploying vision models , integrating with Gen AI services Experience working with Machine Learning frameworks such as TensorFlow, PyTorch or similar libraries Hands-on experience in libraries like NumPy, SciPy, Pandas, OpenCV, SpaCY , NLTK is expected Good understanding of Big Data and Distributed Architecture- specifically Hadoop, Hive, Spark, Docker, Kubernetes and Kafka Experience working on GPU s is preferred Experience optimizing machine learning models for performance improvements across various platforms including cloud services (AWS, Google Cloud Platform) Expertise in MLOps frameworks and hands on experience in MLOps tools like Kubeflow, MLFlow or Sagemaker Excellent problem-solving skills combined with strong analytical abilities. Know More here Life at Target - https://india.target.com/ Benefits - https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasnt happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Targets global team and has more than 4,000 team members supporting the companys global strategy and operations. Pyramid O verview As a Lead AI Engineer in Data Sciences, you will play crucial role in designing, implementing, and optimizing the AI solutions in production. Additionally, youll apply best practices in software design, participate in code reviews, create a maintainable well-tested codebase with relevant documentation. We will look to you to understand and actively follow foundational programming principles (best practices, know about unit tests, code organization, basics of CI/CD etc.) and create a well-maintainable & tested codebase with relevant documentation. You will get the opportunity to develop in one or more approved programming languages (Java, Scala, Python, R ) and learn and adhere to best practices in data analysis and data understanding. Team Overview The Content Creation team within Data Sciences will help build AI solutions leveraging GenAI , computer vision and traditional ML models for various marketing or site content use-cases . The team will play a crucial role in helping Target drive relevancy with guests . Position Overvie w Lead Development of Generative AI ApplicationsArchitect and develop advanced generative AI solutions that support business objectives , ensuring high performance and scalability. Performance Tuning & Optimization Identify bottlenecks in applications and implement strategies to improve performance. Optimize machine learning models for efficiency in production environments. Collaborate Cross-FunctionallyWork closely with data scientists, product managers, and other stakeholders to gather requirements and transform them into robust technical solutions. Mentor Junior EngineersProvide guidance and mentorship to team members on best practices in coding standards, architectural design, and machine learning techniques. Research & InnovationStay abreast of the latest advancements in the field of Artificial Intelligence. Propose new ideas that could lead to innovations within the organization. Deployment & Scaling StrategiesLead the deployment process of applications on cloud platforms while ensuring they are scalable to handle increasing loads without compromising performance. Documentation & Quality AssuranceDevelop comprehensive documentation for projects undertaken. Implement rigorous testing methodologies to ensure high-quality deliverables. About You 4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) or equivalent experience Masters in computer science or equivalent industry experience Over 6 plus years of experience in end-to-end application development, data exploration, data pipelining, API design, optimization of model latency in production environments at scale. Experience in working with image, text data, embeddings , building & deploying vision models , integrating with Gen AI services Strong expertise in Machine Learning frameworks such as TensorFlow, PyTorch or similar libraries; experience with Generative Adversarial Networks or Diffusion Models is desirable Hands-on experience in libraries like NumPy, SciPy, Pandas, OpenCV, SpaCY , NLTK is expected Experience in optimizing ML model performance using techniques such as hyperparameter tuning, feature selection, and distributed training Good understanding of Big Data and Distributed Architecture- specifically Hadoop, Hive, Spark, Docker, Kubernetes and Kafka Experience working on GPU s is preferred Proven track record of optimizing machine learning models for performance improvements across various platforms including cloud services (AWS, Google Cloud Platform) Expertise in MLOps frameworks and hands on experience in MLOps tools like Kubeflow, MLFlow or Sagemaker Deep understanding of system architecture principles related to scalability and robust application design. Excellent communication, problem-solving skills combined with strong analytical abilities. Proven leadership skills with experience mentoring junior engineers effectively Know More here Life at Target - https://india.target.com/ Benefits - https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about Target In India At Target, we have a timeless purpose and a proven strategy. And that hasnt happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Targets global team and has more than 4,000 team members supporting the companys global strategy and operations. Pyramid Overview A role with Target Data Science & Engineering means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams, youll be challenged to harness Targets impressive data breadth to build the algorithms that power solutions our partners in in Marketing, Supply Chain Optimization, Network Security and Personalization rely on. Team Overview Target Data Sciences is offering an exciting opportunity to solve state of the art problems in Promotions . Promotions are a critical lever in driving price perception and delivering exciting deals to our guests. As we develop the capabilities of our tech ecosystem, we are looking for driven and passionate individuals withpricing and promotions experienceand engineering skills who can solutions at scale. If you are that person, you can expect to be involved in: Defining, developing and integrating modules foralgorithmic decision makingwith thepricing systems. Influencing roadmaps and driving its execution with a team of talented scientists. Developing and integrating Datascience models with Pricing platformand collaborating with engineers and science team to bring it to life. Position Overview As Senior Engineer, you will join a Target Tech team responsible for Promotion forecasting and optimization. You will play crucial role in designing, implementing, and optimizing the machine learning solutions in production. Additionally, youll apply best practices in software design, participate in code reviews, create a maintainable well-tested codebase with relevant documentation. At an organizational level, you will conduct training sessions, present work to technical and non-technical peers/leaders, build knowledge on business priorities/strategic goals and leverage this knowledge while building requirements and solutions for each business need. Core responsibilities of this job are articulated within this job description. Job duties may change at any time due to business needs. About You: 4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) or equivalent experience MS in Computer Science, Applied Mathematics, Statistics, Physics or equivalent work or industry experience 4 plus years of experience in end-to-end application development, data exploration, data pipelining, API design, optimization of model latency Expertise in MLOps frameworks and hands on experience in MLOps tools preferably Google Vertex ai 2 plus years of experience deploying Machine Learning algorithms into production environments - including model and system monitoring and troubleshooting Highly proficient programming in Scala and/ or Python/Pyspark Good understanding of Big Data tech - specifically Hadoop, Kafka, Spark Experience in handling streaming data and real-time forecasting solutions deployment Solid understanding of data analysis techniques, including data cleaning, preprocessing, and visualization Demonstrated ability collaborating with data scientists, software engineers and product managers to understand the business requirements and translate to machine learning solutions at scale Excellent communication skills with the ability to clearly tell data driven stories through appropriate visualizations, graphs, and narratives Self-driven and results oriented - able to meet tight timelines Motivated, team player with ability to collaborate effectively across global team Understanding of retail industry and pricing concepts is added advantage Bonus Points: Extensive experience with Deep Learning frameworks TensorFlow, Pytorch or Keras PhD in Computer Science, Applied Mathematics, Statistics, Physics or related quantitative field Extensive experience developing highly distributed ML systems at scale Familiarity with Vertex AI and Cloud ML ecosystem will be desirable Experience in mentoring the junior team members ML skillset and career development Know More here: Life at Target - https://india.target.com/ Benefits - https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

Implement and manage data masking, tokenization, and encryption solutions to protect sensitive information. Utilize SecuPi as the preferred tool for data security operations. Evaluate alternate tools such as Immuta, Okera, Voltage Secure Data, and Fortanix when necessary. Collaborate with cross-functional teams to ensure data security measures are aligned with business requirements. Stay updated with the latest trends and best practices in data security. Ability to communicate effectively with other teams. Mandatory Skills: Data Obfuscation. Experience: 8-10 Years.

Dear Candidate, We are hiring a Test Data Engineer to create, manage, and automate test datasets. Key Responsibilities: Generate synthetic data for testing environments. Ensure privacy and compliance in data provisioning. Automate data refresh and rollback workflows. Required Skills & Qualifications: Experience with SQL, scripting, and data masking tools. Familiar with data privacy regulations (GDPR). Knowledge of CI/CD integration. Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Reddy Delivery Manager Integra Technologies

As a Manufacturing Data Analyst at our high-growth company, you will be responsible for understanding manufacturing data from clients, devising strategies to address pain points, and enhance business value. Your role will involve data exploration, analysis, and automation of data cleaning tasks. You will collaborate closely with the data science and product teams to derive valuable insights from client data. You should hold a Bachelor's or Master's degree in engineering, mathematics, Mechanical/Aerospace Engineering, and possess 4-6 years of experience working with renowned manufacturing/aerospace/automotive/consumer product companies. Proficiency in working with spreadsheets and processing large volumes of data is essential, along with experience in Python (Pandas)/R. In this role, you will be expected to understand and define relationships among entities in manufacturing data, interpret technical statements, and engage in tasks ranging from understanding business objectives to data manipulation and web scraping solutions. Collaboration with stakeholders such as machine learning engineers, data scientists, data engineers, and product managers will be a key aspect of your responsibilities. We are looking for individuals who are entrepreneurial, driven, and eager to contribute to a fast-growing SaaS company. You should have excellent written and verbal communication skills, expertise in natural language processing (NLP) techniques for text and sentiment analysis, and ideally, experience working with startups. Joining our interdisciplinary team, you will have the opportunity to work with leaders from Palantir, McKinsey, GM, and Ford. We value collaboration, diversity of thinking, and setting high standards to deliver exceptional results in a startup environment.,

Ready to build the future with AI At Genpact, we don&rsquot just keep up with technology&mdashwe set the pace. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what&rsquos possible, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on , , , and . Inviting applications for the role of Business Analyst , Data Science ! This role supports Commercial Analytics enablement, which includes understanding of business trends, provide data driven solutions. Within the Analytics, crafted to support brands and go-to-market strategies, Customer Analytics focuses on bringing and scaling analytics solutions that advances Customer centricity and transformation. The Analytics member is accountable for providing analytic expertise and delivering business insights to the Commercial organization. We&rsquore looking for a technically sound and who is interested in working within customer environment. Responsibilities: Relevant years of professional experience in implementing Analytics for business support. Must have experience with classification, regression and time series forecasting using ensemble methods with clear understanding. Well versed with data exploration and statistical inference from data. Having hands on year s experience building front end application using Streamlit / Gradio /Flask/Fast for Generative AI input and output display. Using Generative AI to work on tasks like text generation, sentiment analysis, chatbots and language translation using RAG and agent-based models. Analyze data and Generating insights using generative AI techniques for predictive modelling and data generation. Building chatbot using different scalable data source for generating charts and statement. Proficiency in programming language Python, SQL. Responsible for weekly release of upgrades and new features to enhance current algorithm. Qualifications we seek in you! Minimum Qualifications Masters or bachelor&rsquos in engineering - BE/B- Tech, BCA, MCA, BSc/MSc Master&rsquos in science or related Preferred Qualifications/ Skills R / Python and SQL certification Why join Genpact Lead AI-first transformation - Build and scale AI solutions that redefine industries Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career &mdashGain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills Grow with the best - Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace Committed to ethical AI - Work in an environment where governance, transparency, and security are at the core of everything we build Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

Project Role : Security Architect Project Role Description : Define the cloud security framework and architecture, ensuring it meets the business requirements and performance goals. Document the implementation of the cloud security controls and transition to cloud security-managed operations. Must have skills : Security Data Privacy Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Security Architect, you will define the cloud security framework and architecture, ensuring it meets the business requirements and performance goals. Your typical day will involve collaborating with various teams to assess security needs, documenting the implementation of cloud security controls, and transitioning to cloud security-managed operations. You will engage in discussions to refine security strategies and ensure compliance with industry standards, all while adapting to the evolving landscape of cloud technologies and security threats. Roles & Responsibilities:- Maintaining the integrity of data and processes in OneTrust or Securiti.ai.- Hands-on support using OneTrust or securiti.ai in data discovery, classification & data governance.- Hands-on support using OneTrust or securiti.ai in performing data security posture management.- Supporting the team with OneTrust or securiti,ai privacy assessments.- Hands-on support using OneTrust or securiti.ai for Policy & Notice Management and DPIA.- Hands-on support using OneTrust or securiti,ai for Cookie compliance, including scanning and banner.- Hands-on support using OneTrust or securiti.ai for Consent compliance and maintain records of consent.- Hands-on support using OneTrust or securiti.ai for Data Subject Requests to automate request to fulfilment to meet regulatory deadlines.- Hands-on Data retention & deletion - Manage and enforce retention policies and data deletion.- Evaluating PIA/DPIA assessments for Risk Management, including Vendors.Professional and Technical Skills: - 3-4 years of hands-on experience as an OneTrust or Securiti.ai administrator.- 3 years of work experience with data privacy regulations such as GDPR, CCPA,DPDP (mandatory).- 2 years of work experience in defining & managing DSAR, DPIA's, Consent, Cookie, TPRM & RoPA lifecycles. 2 years of work experience in performing Data Discovery , Classification, Data Governance, Data Mapping & Cataloging and Data Security Posture Management. Excellent communication skills in English - both written and verbal.- OneTrust or Securiti.ai certified Professional (required). Additional Information:- The candidate should have minimum 12 years of experience in Security Data Privacy.- A 15 year full time education is required.- This will be a work from office on all 5 days, and the resource needs to work from client location only. Qualification 15 years full time education

Project Role : Security Engineer Project Role Description : Apply security skills to design, build and protect enterprise systems, applications, data, assets, and people. Provide services to safeguard information, infrastructures, applications, and business processes against cyber threats. Must have skills : Data Loss Prevention (DLP) Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Security Engineer, you will apply security skills to design, build, and protect enterprise systems, applications, data, assets, and people. A typical day involves collaborating with various teams to implement security measures, conducting assessments to identify vulnerabilities, and ensuring that all systems are fortified against potential cyber threats. You will also engage in continuous monitoring and improvement of security protocols to safeguard sensitive information and maintain compliance with industry standards. Roles & Responsibilities:- Expected to be an SME in DLP and Data masking solution implementation and support.- Collaborate and manage the team to perform.- Demonstrates excellent problem-solving skills and the ability to collaborate effectively with diverse stakeholders- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Conduct regular security assessments and audits to identify vulnerabilities and recommend improvements.- Develop and implement security policies and procedures to ensure compliance with industry standards. Professional & Technical Skills: - Must Have Skills: Proficiency in Proofpoint and Microsoft Purview Data Loss Prevention (DLP) tools, Varonis Data Discovery and Data masking.- Creation of DLP detection and prevention policies- DLP agents compliance and incident monitoring- DLP agent upgradation- Design and implementation of Data masking solution across enterprise-wide applications- Perform Sensitive Data Discovery and analysis across enterprise data repositories- Create Technical documentation and installation/administration manuals- Strong understanding of risk management and mitigation strategies.- Experience with security frameworks and compliance standards such as ISO 27001, NIST, or GDPR, HIPAA, HiTrust- Familiarity with incident response and threat intelligence processes.- Knowledge of network security protocols and technologies. Additional Information:- The candidate should have minimum 8 years of experience in Data Loss Prevention (DLP) and Data Discovery- Good to have experience in Health care industry - Certifications on Proofpoint, Varonis is preferred.- This position is based in Coimbatore.- Willing to work in US shifts including support in late IST hours. Willing to work in office adhering to current HR policies.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Security Architect Project Role Description : Define the cloud security framework and architecture, ensuring it meets the business requirements and performance goals. Document the implementation of the cloud security controls and transition to cloud security-managed operations. Must have skills : Security Data Privacy Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Security Architect, you will define the cloud security framework and architecture, ensuring it meets the business requirements and performance goals. Your typical day will involve collaborating with various teams to assess security needs, documenting the implementation of cloud security controls, and transitioning to cloud security-managed operations. You will engage in discussions to refine security strategies and ensure compliance with industry standards, all while adapting to the evolving landscape of cloud technologies and security threats. Roles & Responsibilities:- Maintaining the integrity of data and processes in OneTrust or Securiti.ai.- Hands-on support using OneTrust or securiti.ai in data discovery, classification & data governance.- Hands-on support using OneTrust or securiti.ai in performing data security posture management.- Supporting the team with OneTrust or securiti,ai privacy assessments.- Hands-on support using OneTrust or securiti.ai for Policy & Notice Management and DPIA.- Hands-on support using OneTrust or securiti,ai for Cookie compliance, including scanning and banner.- Hands-on support using OneTrust or securiti.ai for Consent compliance and maintain records of consent.- Hands-on support using OneTrust or securiti.ai for Data Subject Requests to automate request to fulfilment to meet regulatory deadlines.- Hands-on Data retention & deletion - Manage and enforce retention policies and data deletion.- Evaluating PIA/DPIA assessments for Risk Management, including Vendors.Professional and Technical Skills: - 3-4 years of hands-on experience as an OneTrust or Securiti.ai administrator.- 3 years of work experience with data privacy regulations such as GDPR, CCPA,DPDP (mandatory).- 2 years of work experience in defining & managing DSAR, DPIA's, Consent, Cookie, TPRM & RoPA lifecycles. 2 years of work experience in performing Data Discovery , Classification, Data Governance, Data Mapping & Cataloging and Data Security Posture Management. Excellent communication skills in English - both written and verbal.- OneTrust or Securiti.ai certified Professional (required). Additional Information:- The candidate should have minimum 12 years of experience in Security Data Privacy.- A 15 year full time education is required.- This will be a work from office on all 5 days, and the resource needs to work from client location only. Qualification 15 years full time education

Project Role : Security Engineer Project Role Description : Apply security skills to design, build and protect enterprise systems, applications, data, assets, and people. Provide services to safeguard information, infrastructures, applications, and business processes against cyber threats. Must have skills : Data Loss Prevention (DLP) Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Security Engineer, you will apply security skills to design, build, and protect enterprise systems, applications, data, assets, and people. A typical day involves collaborating with various teams to implement security measures, conducting assessments to identify vulnerabilities, and ensuring that all systems are fortified against potential cyber threats. You will also engage in continuous monitoring and improvement of security protocols to safeguard sensitive information and maintain compliance with industry standards. Roles & Responsibilities:- Expected to be an SME in DLP and Data masking solution implementation and support.- Collaborate and manage the team to perform.- Demonstrates excellent problem-solving skills and the ability to collaborate effectively with diverse stakeholders- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Conduct regular security assessments and audits to identify vulnerabilities and recommend improvements.- Develop and implement security policies and procedures to ensure compliance with industry standards. Professional & Technical Skills: - Must Have Skills: Proficiency in Proofpoint and Microsoft Purview Data Loss Prevention (DLP) tools, Varonis Data Discovery and Data masking.- Creation of DLP detection and prevention policies- DLP agents compliance and incident monitoring- DLP agent upgradation- Design and implementation of Data masking solution across enterprise-wide applications- Perform Sensitive Data Discovery and analysis across enterprise data repositories- Create Technical documentation and installation/administration manuals- Strong understanding of risk management and mitigation strategies.- Experience with security frameworks and compliance standards such as ISO 27001, NIST, or GDPR, HIPAA, HiTrust- Familiarity with incident response and threat intelligence processes.- Knowledge of network security protocols and technologies. Additional Information:- The candidate should have minimum 8 years of experience in Data Loss Prevention (DLP) and Data Discovery- Good to have experience in Health care industry - Certifications on Proofpoint, Varonis is preferred.- This position is based in Coimbatore.- Willing to work in US shifts including support in late IST hours. Willing to work in office adhering to current HR policies.- A 15 years full time education is required. Qualification 15 years full time education