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Senior Director - RNA<h4>Company Description</h4>WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees.<h4>Job Description</h4>About the Role:We are seeking an experienced and visionary Sr. Director – Analytics to lead our analytics strategy and execution, focusing on driving value for Hi-Tech Professional Services and Loyalty accounts. This leadership role is central to shaping our data-driven decision-making culture, enabling actionable insights, and delivering measurable impact across client engagements.As a senior leader, you will oversee advanced analytics initiatives, build high-performing teams, and partner closely with business stakeholders to develop innovative solutions that enhance customer engagement, operational efficiency, and business growth.Key Responsibilities:Lead the development and execution of analytics strategies for Hi-Tech Professional Services and Loyalty programs, ensuring alignment with business objectives.Build and manage a high-performing analytics team, fostering a culture of curiosity, innovation, and continuous learning.Collaborate closely with business leaders, account teams, and clients to understand objectives and deliver actionable insights.Design and oversee delivery of advanced analytics solutions, including predictive modeling, customer segmentation, churn analysis, and personalization strategies.Leverage data visualization tools to create intuitive dashboards and storytelling outputs for executive and operational consumption.Drive the operationalization of analytics insights into client workflows, maximizing adoption and business impact.Establish governance frameworks for data quality, security, and compliance across all analytics initiatives.Stay ahead of industry trends, emerging technologies, and best practices to continuously enhance our analytics capabilities.Manage vendor and partner relationships to bring in cutting-edge tools and solutions.Present findings, insights, and recommendations to C-level executives and client stakeholders in a clear and compelling manner.Key Requirements:15+ years of experience in analytics leadership roles, with demonstrated success in managing large, complex analytics programs.Proven expertise in Hi-Tech Professional Services environments and Loyalty account analytics.Strong understanding of customer lifecycle analytics, loyalty metrics, customer segmentation, and personalization at scale.Proficiency in advanced analytics techniques including predictive modeling, statistical analysis, and data mining.Hands-on experience with analytics tools and platforms (e.g., Python, R, SQL, Tableau, Power BI, Google Analytics, Adobe Analytics).Experience with cloud-based data and analytics environments (e.g., AWS, Azure, GCP).Excellent leadership and people management skills, with experience growing and mentoring diverse teams.Exceptional communication and storytelling abilities, with a track record of influencing senior stakeholders.Bachelor's or Master’s degree in Data Science, Statistics, Business Analytics, or a related field. Advanced certifications are a plus.What We Offer:Leadership role with high visibility and strategic influence.Opportunity to shape the analytics roadmap for marquee accounts.Collaborative and high-growth environment.Competitive compensation and benefits package.<h4>Qualifications</h4>Prior experience delivering analytics solutions for global clients in the Hi-Tech sector.Familiarity with AI/ML applications in customer engagement and loyalty optimization.Experience in Agile environments and cross-functional collaboration.Ability to manage multi-million-dollar programs and deliver business impact at scale<h4>Experience Level</h4>Executive Level

WNS Global Services Pvt Ltd

Senior Business Analyst

Senior Associate Data Analytics L2 The Senior Associate Data Analytics you’ll be thinking and delivery across multiple accounts leveraging your deep experience in data solutions to ensure success. you’ll be a lead in developing and driving our team and our business to get the most out of data. You’ll push thinking and delivery across multiple accounts leveraging your deep experience in data solutions to ensure success. The ideal applicants will be eager to help on a variety of projects and be continuously&nbsp;looking to grow their skills&nbsp;Your Impact:<ul><li>Delivering analytics and optimization solutions</li><li>Lead business requirement conversations with external partners to understand their business requirements and articulate those into measurable KPIs.</li><li>Creating experiences within optimization tools or connecting with CRM developed experiences</li><li>Designing end-to-end analytics solutions to convert requirements to Solution Design Reference (SDR), define data layer and tagging guides for analytics and marketing tools</li><li>Creating and maintaining Adobe Analytics JavaScript tags and plugins and be able to validate and debug using relevant debugging tools.</li><li>Understanding of Adobe Marketing stack and how various tools work together to build data driven businesses</li></ul> QualificationsYour Skills &amp; Experience:<ul><li>Minimum 3 years of experience in Analytics implementation</li><li>Hands-on experience with Adobe analytics, AT&amp;T, and optimizes.</li><li>Working knowledge of Adobe Launch.</li><li>Strong experience in at least the programming languages Java Scripts, HTML, R, and Python Hands-on working knowledge of Adobe (AAM) Salesforce (Krux)</li><li>Well-versed and working knowledge with Adobe Report builder, Workspace, GA console</li><li>Testing tool experience on Omnibug, Httpfox</li><li>Bachelor’s degree and year of work experience of 6 to 8 years or any combination of education, training, and/or experience that demonstrates the ability to perform the duties of the position</li></ul> Set Yourself Apart With:<ul><li>Good knowledge of web trends and core metrics</li><li>Knowledge of tag management tools like Tealium/Ensighten</li><li>Knowledge of BI Tools Tableau, Power BI, Google Data Studio, Qlikview, Datorama</li><li>Cloud knowledge on GCP/Azure/AWS</li></ul>

Publicis Sapient Consulting Pvt Ltd

Data Analyst

Senior Data Scientist As a Senior Data Scientist at Gojek, you will be at the forefront of leveraging data to drive strategic and operational improvements. You will lead complex analytical projects, mentor junior data scientists, and collaborate with cross-functional teams to develop and implement data-driven strategies that enhance our service offerings and operational efficiency. What You Will Do<ul><li>Design and implement sophisticated statistical and machine learning models to solve complex business problems, optimize service delivery, and predict user behaviour. Use techniques such as deep learning, natural language processing, and time-series analysis.</li><li>Partner with senior stakeholders, including product managers, engineers, and executives, to understand business objectives and translate them into actionable data insights. Provide strategic recommendations to drive business growth and operational excellence.</li><li>Lead and mentor a team of data scientists and analysts. Provide guidance on best practices, model development, and analytical techniques. Foster a collaborative and high-performance environment within the data science team.</li><li>Develop and enforce data governance and quality standards. Oversee data pipeline development, ensuring data accuracy, consistency, and accessibility. Advocate for and implement best practices in data management and analytics.</li><li>Design and execute A/B tests and other experimentation methodologies to assess the impact of changes in product features, user interactions, and service delivery. Analyze results and make data-driven recommendations for optimization.</li><li>Create high-impact visualizations and dashboards to communicate complex data insights to non-technical stakeholders. Present findings and recommendations in a clear, actionable manner to drive decision-making.</li><li>Stay abreast of the latest trends and advancements in data science, machine learning, and analytics. Apply innovative techniques and tools to enhance analytical capabilities and contribute to the company’s competitive edge.</li></ul> What You Will Need<ul><li>Master’s in Data Science, Statistics, Computer Science, Mathematics, or a related field. Advanced academic qualifications are highly desirable.</li><li>5-7 years of experience in data science or a related field, preferably within the on-demand services or technology industry.</li><li>Expertise in programming languages such as Python, R, or Scala, as well as proficiency with data manipulation and visualization libraries (e.g., pandas, NumPy, matplotlib, seaborn).</li><li>Understanding of statistical concepts and techniques, with experience applying them to real-world problems.</li><li>Excellent communication and interpersonal skills, with the ability to effectively convey complex technical concepts to both technical and non-technical audiences.</li><li>A passion for learning and innovation, with a desire to stay ahead of the curve in the rapidly evolving field of data science and technology.</li></ul>

Gojek

Data Scientist

Report Developer What You’ll Do:<ul><li>Develop and maintain reports using Power BI / SSRS</li><li>Design semantic models and write DAX queries</li><li>Create paginated reports and dashboards for analytics</li><li>Work with Report Builder (RDL files) to deliver high-quality insights</li><li>Collaborate with cross-functional teams to understand business requirements</li></ul> Required Skills:<ul><li>Strong experience in Power BI, SSRS report development</li><li>Hands-on with Semantic Models, DAX, and RDL files</li><li>Experience with Power BI paginated reports and analytics dashboards</li></ul> Good to Have:<ul><li>Exposure to Logi, Telerik, or other reporting technologies</li></ul> <ul><li>Experience - 4 – 6 Years</li></ul> Share your updated resume now.

Accion labs india pvt ltd

Test Analyst

Data Scientist Description<ul><li>Practical knowledge and working experience on Statistics and Operation Research methods.</li><li>Practical knowledge and working experience in tools and frameworks like Flask, PySpark, Pytorch, tensorflow, keras, Databricks, OpenCV, Pillow/PIL, streamlit, d3js, dashplotly, neo4j.</li><li>Good understanding of how to apply predictive and machine learning techniques like regression models, XGBoost, random forest, GBM, Neural Nets, SVM etc.</li><li>Proficient with NLP techniques like RNN, LSTM and Attention based models and effectively handle readily available stanford, IBM, Azure, Open AI NLP models.</li><li>Good understanding of SQL from a perspective of how to write efficient queries for pulling the data from database.</li><li>Hands on experience on any version control tool (github, bitbucket). Experience of deploying ML models into production environment experience (MLOps) in any one of the cloud platforms like Azure and AWS</li></ul> Experience: 5+ Years

Colan Infotech Pvt Ltd

Alteryx Certified Engineer We are looking for talented Alteryx Certified Engineer who are passionate about automation and data transformation. This role offers the opportunity to design and build Alteryx solutions that replace manual, Excel-based processes (EUCs), driving efficiency and accuracy across critical business operations. Experience: 5+ Years Key Responsibilities<ul><li>Collaborate with BAU SMEs to understand EUC requirements.</li><li>Design, document, and develop Alteryx workflows to automate manual processes.</li><li>Build scalable Alteryx solutions that enhance efficiency and reduce risk.</li><li>Support testing, troubleshooting, and deployment of workflows.</li><li>Ensure compliance with organizational standards and best practices.</li></ul> What We’re Looking For<ul><li> Alteryx Certification (required)</li><li> Proven expertise in Alteryx workflow design &amp; development.</li><li> Strong problem-solving and analytical skills.</li><li> Ability to engage with SMEs and translate requirements into solutions.</li><li> Experience in automation of manual/Excel-based processes (EUCs).</li></ul> How to Apply: Please send your resume. Subject line: Resume for Alteryx Certified Engineer Also mention: Current Location, CTC, ECTC, and Notice Period in your application.

Ernst & Young LLP ( EY India )

Testing Engineer

Senior Analytics Consultant – GenAI <a rel="noopener noreferrer" href="\&quot;https://www.linkedin.com/company/exl-service/\&quot;" target="_blank">EXL</a> Hiring for Senior Analytics Consultant – <a rel="noopener noreferrer" href="\&quot;https://www.linkedin.com/search/results/all/?keywords=%23genai&amp;origin=HASH_TAG_FROM_FEED\&quot;" target="_blank">GenAI</a> (Hybrid) Join our dynamic team as a Senior GenAI Engineer and work on cutting-edge solutions that drive real business impact. What You'll Do:- Design and deploy GenAI applications: Agentic AI systems, LLM-powered tools, NLP pipelines, and chatbots.- Build scalable analytics workflows using <a rel="noopener noreferrer" href="\&quot;https://www.linkedin.com/search/results/all/?keywords=%23python&amp;origin=HASH_TAG_FROM_FEED\&quot;" target="_blank">Python</a> and <a rel="noopener noreferrer" href="\&quot;https://www.linkedin.com/search/results/all/?keywords=%23sql&amp;origin=HASH_TAG_FROM_FEED\&quot;" target="_blank">SQL</a>.- Collaborate across teams to identify high-impact AI use cases.- Fine-tune <a rel="noopener noreferrer" href="\&quot;https://www.linkedin.com/search/results/all/?keywords=%23llms&amp;origin=HASH_TAG_FROM_FEED\&quot;" target="_blank">LLMs</a> and evaluate model performance.- Stay ahead with the latest <a rel="noopener noreferrer" href="\&quot;https://www.linkedin.com/search/results/all/?keywords=%23genai&amp;origin=HASH_TAG_FROM_FEED\&quot;" target="_blank">GenAI</a> frameworks and tools. What We’re Looking For:- 4–8 years in Analytics / Data Science.- 2–3 years hands-on experience with <a rel="noopener noreferrer" href="\&quot;https://www.linkedin.com/search/results/all/?keywords=%23genai&amp;origin=HASH_TAG_FROM_FEED\&quot;" target="_blank">GenAI</a> (<a rel="noopener noreferrer" href="\&quot;https://www.linkedin.com/search/results/all/?keywords=%23llms&amp;origin=HASH_TAG_FROM_FEED\&quot;" target="_blank">LLMs</a>, <a rel="noopener noreferrer" href="\&quot;https://www.linkedin.com/search/results/all/?keywords=%23nlp&amp;origin=HASH_TAG_FROM_FEED\&quot;" target="_blank">NLP</a>, <a rel="noopener noreferrer" href="\&quot;https://www.linkedin.com/search/results/all/?keywords=%23chatbots&amp;origin=HASH_TAG_FROM_FEED\&quot;" target="_blank">Chatbots</a>, <a rel="noopener noreferrer" href="\&quot;https://www.linkedin.com/search/results/all/?keywords=%23agenticai&amp;origin=HASH_TAG_FROM_FEED\&quot;" target="_blank">AgenticAI</a>).- Strong Python and SQL skills.- Experience in <a rel="noopener noreferrer" href="\&quot;https://www.linkedin.com/search/results/all/?keywords=%23prompt&amp;origin=HASH_TAG_FROM_FEED\&quot;" target="_blank">prompt</a> <a rel="noopener noreferrer" href="\&quot;https://www.linkedin.com/search/results/all/?keywords=%23engineering&amp;origin=HASH_TAG_FROM_FEED\&quot;" target="_blank">engineering</a> and custom AI agent development. Bonus Skills:- PySpark, Machine Learning, Data Engineering.- Cloud platforms (AWS, Azure, GCP).- MLOps for GenAI solutions. If interested send your resume.

EXL Service

Senior Analyst

Machine Learning Engineer Coforge is seeking a Machine Learning Engineer for positions in Greater Noida, Pune, and Hyderabad with an immediate to 10-day notice period. Key Requirements:- Experience: 4–8 years in machine learning engineering, encompassing end-to-end model development and deployment.- Programming Skills: Proficiency in Python, with knowledge of ML libraries like TensorFlow, PyTorch, and Scikit-learn.- Framework Expertise: Hands-on experience with MLOps tools such as Kubeflow, Metaflow, Ray, MLflow, or Azure ML.- Cloud Platforms: Strong understanding of AWS, Azure, and GCP for deploying ML workflows.- Containerization: Proficiency in Docker and Kubernetes for containerized model deployment.- Workflow Automation: Familiarity with orchestration tools like Apache Airflow or Prefect for automating pipelines.- Data Engineering: Understanding data preparation processes, including SQL and NoSQL databases.- Version Control: Experience in data and model versioning using tools like DVC or Git.- Monitoring Tools: Knowledge of monitoring frameworks such as Prometheus, Grafana, or ELK stack for pipeline observability.- Problem-Solving: Strong analytical and debugging skills to optimize workflows and troubleshoot production issues.- Collaboration Skills: Effective communication and teamwork abilities to collaborate with cross-functional teams. Interested individuals can forward their resumes.

Coforge

Data Annotation Engineer

AI-ML Lead Engineer This job might be for you if<ul><li>You enjoy solving problems. You love taking on difficult challenges and finding creative solutions.</li><li>You don’t know the answer but will dig until you find it.</li><li>You communicate clearly. You write well.</li><li>You are motivated and driven. You volunteer for new challenges without waiting to be asked. You will take ownership of the time you spend with us and make a difference.</li><li>You can impress our customers with your enthusiasm to solve their issues (and solve them!)</li></ul> Job DescriptionAs an AI/ML Engineer at Eximietas, you will be responsible for designing, implementing and managing strategic consulting projects that leverage Machine Learning, Deep Learning including Generative AI algorithms. You will work closely with clients to understand their business processes and requirements, conduct proof of concepts (POCs) and convert POCs to long term strategic engagements to deliver cutting-edge AI/ML solutions that drives business value. Responsibilities<ul><li>Collaborate with clients to understand their business processes, goals, and requirements.</li><li>Design and implement AI/ML solutions using state-of-the-art techniques and methodologies.</li><li>Conduct proof of concepts (POCs) and pilots to validate the feasibility and effectiveness of AI/ML solutions.</li><li>Work with cross-functional teams to map AI/ML solutions to client business processes.</li><li>Perform data analysis, data preprocessing, and feature engineering as needed.</li><li>Conduct hypothesis testing, feature extraction, feature selection, cross-validation.</li><li>Develop and deploy machine learning models in a production environment.</li><li>Apply Natural Language Processing (NLP) techniques such as topic modelling, entity extraction, summarization and sentiment analysis to relevant projects OR Design and implement projects that are tailored to Computer Vision tasks, such as Image Classification, Object detection, Image segmentation.</li><li>Communicate findings and insights effectively to both technical and non-technical stakeholders.</li><li>Ensure project deliverables meet high-quality standards and are completed on time and within budget.</li></ul> Qualifications<ul><li>Bachelor’s or master’s degree in computer science, Machine Learning, Data Science or a related field.</li><li>At least 5 to 8 years of hands-on experience in designing and delivering AI/ML solutions.</li><li>Good understanding of concepts involving Probability, Statistics, Linear Algebra, Programming and basics of Machine Learning</li><li>Strong expertise in NLP tasks, including and not limited to Topic modelling, Entity Extraction, Summarization and Sentiment analysis OR Proficiency in Computer Vision tasks including and not limited to Object detection, Image segmentation, Image classification.</li><li>Experience working within a cloud solutions environment such as AWS, Azure or Google Cloud. Familiarity with Cloud AI services and tools is a plus.</li><li>Proficiency in programming languages such as Python or R.</li><li>Familiarity with popular AI/ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).</li><li>Familiarity with MLOps is a plus</li><li>Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.</li><li>Strong communication and presentation skills.</li></ul>

Eximietas Design

Automation Process Engineer

Senior Manager Advanced Analytics, CS Ops & BIAirbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.The Analytics Center of Excellence (ACOE) at Airbnb, based in India, is a hub of knowledge and expertise that aims to provide data-driven decision-making, enabling Airbnb's business goals. The ACOE's vision is to build a world-class analytics organization that provides scalable analytics. We work with various business functions such as payments, trust, digital, customer support, hosting, sales, social, compliance, risk, platforms and partnership &amp; economics.The ACOE's delivery framework streamlines data-driven decision-making by offering a comprehensive solution for metrics, actionable dashboards, performance optimization, impact measurement, ROI analysis, opportunity prioritization, anomaly-driven alerts, root cause diagnostics, and hypothesis testing.The Community You Will Join: Airbnb’s Community Support Analytics team focuses on ensuring world-class service for our global community of guests and hosts. As an integral part of the Analytics Center of Excellence (ACOE), the team partners closely with various product and operational teams to drive data-informed decisions that enhance customer experiences and operational efficiencies.The Difference You Will Make:As a senior manager of advanced analytics , you will lead a high-performing team tasked with delivering actionable insights, developing robust data frameworks, driving advanced analytics solutions and building self-serve dashboards. Your expertise will shape and support Community Support’s strategic goals, including reducing contact volumes, increasing first contact resolution rates, and optimizing cost-effective service delivery. <h4>Why This Role Will Be a Game-Changer:</h4>Your unique blend of technical acumen, structured experimentation expertise, and leadership capabilities will help shape Airbnb’s Community Support into a function that not only resolves issues efficiently but anticipates and prevents them at scale.<h4>Key Responsibilities:</h4><ul><li>Leadership &amp; Strategy:</li><ul><li>Lead and inspire a multidisciplinary analytics team to deliver data-driven insights for Community Support.</li><li>Develop and execute an analytics strategy to align with organizational priorities, such as reducing contact volume, increasing first contact resolution (FCR), and optimizing cost-effective service delivery.</li><li>Translate Community Support priorities into actionable data strategies to enhance customer satisfaction, operational efficiency, and proactive issue resolution.</li></ul><li>Advanced Analytics Solutions:</li><ul><li>Drive analytics frameworks across Community Support AI tools, operational processes, and ambassador interactions.</li><li>Design predictive and causal modeling techniques to identify trends, optimize resourcing, and improve service experiences.</li><li>Enhance anomaly detection capabilities and integrate predictive analytics with operational dashboards to deliver real-time insights.</li></ul><li>Collaboration:</li><ul><li>Partner across functional teams such as Product, Operations, and Data Engineering to ensure alignment of insights with business objectives.</li><li>Work closely with engineering on logging improvements, instrumentation, and scalable tools.</li></ul><li>Metrics Development:</li><ul><li>Build and oversee impactful metrics such as Net Promoter Score (NPS), Time to First Touch (TTFT), First Contact Resolution (FCR), Solves Per Day (SPD), and advanced Service Quality metrics.</li><li>Introduce models for measuring and mitigating silent suffering and other nuanced customer trends.</li></ul><li>Experimentation &amp; Measurement:</li><ul><li>Lead structured experimentation, including developing power analyses, exit criteria, and statistical models for inference in key initiatives.</li></ul><li>Organizational Leadership:</li><ul><li>Foster innovation in CS analytics by organizing workshops and structured training programs tailored to address core priorities like contact volume reduction, resolution speed, and data-augmented service strategies.</li><li>Contribute to executive-level presentations that contextualize CS performance data within broader organizational objectives, ensuring insights are framed to influence senior leaders and drive strategic decision-making.</li></ul></ul>A Typical Day: <ul><li>Owning the analytics road map, prioritization &amp; delivery of solutions in the customer support space space. </li><li>Collaborating with operational teams to visualize case and interaction-level data to unpack contact reason trends and efficiencies.</li><li>Engaging with global &amp; India based stakeholders to refine Community Support reporting frameworks.</li><li>Lead data investigations, uncover root causes and identify opportunities for product managers. </li><li>Building scalable insights solutions using advanced analytics techniques.</li><li>Working closely with Product Managers and Business leads to design, execute and evaluate A/B tests. Understand common pitfalls and caveats of experimentation.</li><li>Define how to best measure the performance of Airbnb products and business through new metrics and dimensions. Align with stakeholders, understand trade offs and guardrails, prototype metrics through custom data pipelines.</li><li>Empower the team to answer data questions quickly and easily by building high-quality ground truth data sets and dashboards. </li><li>Work closely with other global operations and India analytics functions.</li><li>Drive accountability within the team and effectively manage stakeholder expectations </li><li>Hire, retain and grow talent across the right mix of functional areas to meet payment analytics needs.</li><li>Coach and mentor direct reports on both technical development and soft skills.</li><li>Adapt and grow the India customer support analytics team as the business evolves.</li></ul>Your Expertise:<ul><li>15+ years of industry experience and an advanced degree (Masters or PhD preferred) in a quantitative field such as Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, or Operations Research.</li><li>Proven expertise in leveraging analytics to shape customer support strategies, including reducing contact volumes, enhancing resolution rates, and improving service quality metrics such as NPS and FCR.</li><li>Strong proficiency in Python or R programming, SQL, data modeling, ETL processes, and data warehousing concepts to ensure scalable and efficient data pipelines.</li><li>Extensive experience in advanced statistical methodologies, including hypothesis testing, regression techniques (Linear, Logistic, Ridge, Lasso), Random Forest, NLP/Text Mining, and clustering algorithms like K-Means.</li><li>Expertise in designing and developing BI dashboards using tools like Tableau, Power BI, or Looker, with a focus on user-centric design, advanced visualizations, interactivity features, and performance optimization.</li><li>Demonstrated ability to design metrics and prototypes integrated with robust data pipelines, supporting actionable insights and decision-making.</li><li>Skilled in A/B experiment analysis, statistical data analysis, and experimental design to measure effectiveness and drive continuous improvement.</li><li>Proven communication and collaboration skills, capable of translating technical insights into actionable narratives for both technical and non-technical audiences within cross-cultural and cross-functional teams.</li><li>Experience driving data strategies, establishing centralized sources of truth, and providing direction on analytics within diverse organizational contexts.</li></ul>Our Commitment To Inclusion &amp; Belonging:Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.<h4>Experience Level</h4>Senior Level

Airbnb India Private Limited

Big Data Developer Skills Required: Big Data &amp; Hadoop Ecosystem, Python, PySparkExperience: 5-10 Years Share your updated resume now.

Net2Source

Data Scientist Lead - Fraud AnalyticsWe know that people want great value combined with an excellent experience from a bank they can trust, so we launched our digital bank, Chase UK, to revolutionize mobile banking with seamless journeys that our customers love. We're already trusted by millions in the US and we're quickly catching up in the UK – but how we do things here is a little different. We're building the bank of the future from scratch, channeling our start-up mentality every step of the way – meaning you'll have the opportunity to make a real impact.  As a Data Scientist Lead - Fraud Analytics at JPMorgan Chase within the International Consumer Bank, you will be a part of a flat-structure organization. Your responsibilities are to deliver end-to-end cutting-edge solutions in the form of cloud-native microservices architecture applications leveraging the latest technologies and the best industry practices. You are expected to be involved in the design and architecture of the solutions while also focusing on the entire SDLC lifecycle stages.Our fraud analytics team is at the heart of this venture, focused on getting smart ideas into the hands of our customers. We're looking for people who have a curious mindset, thrive in collaborative squads, and are passionate about new technology. By their nature, our people are also solution-oriented, commercially savvy and have a head for fintech. We work in tribes and squads that focus on specific products and projects – and depending on your strengths and interests, you'll have the opportunity to move between them.  Job spec requirements:The Fraud &amp; Financial crime Product function leads the 1st line of defense business for fraud &amp; financial crime risk, including ownership of the fraud &amp; financial crime strategy and control framework across all products and channels. Working inside a specialist fraud team to ensure transaction monitoring and controls are optimized to reduce fraud &amp; financial crime risk whilst ensuring 1st class client experience – you will be supporting the product from an Analytics perspective. Job responsibilities:<ul><li>Develop and implement fraud strategies/rules to effectively detect fraudulent activities.</li><li>Analyze data to support fraud product, fraud operations, and financial crime efforts to protect the financial interests of the customers and the bank.</li><li>Analyze data to support the fraud operation team to improve efficiency and decision accuracy, including translating fraud strategy into fraud operation impact.</li><li>Collaborate with the 2nd line fraud risk teams to ensure models, rulesets, and strategies are effective.</li><li>Ensure all compliance, audit, and control frameworks are followed – using data to confirm these processes adhere to regulation standards.</li><li>Share best practices across JP Morgan Chase &amp; Co.</li><li>Communicate effectively with superior written, oral communication, and presentation skills, with experience communicating concisely and effectively with all levels of management and partners</li></ul> Required qualifications, capabilities and skills<ul><li>Master’s degree in numeric fields or STEM related fields, such as statistics, computer science, data science, etc</li><li>Knowledge of Fraud/Financial Crime process and products</li><li>Team development and management experience required.</li></ul> #ICBCareerJPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our <a href="https://careers.jpmorgan.com/us/en/how-we-hire/faqs" rel="nofollow" target="_blank">FAQs</a> for more information about requesting an accommodation.<h4>Experience Level</h4>Senior Level

JP Morgan Services India Pvt Ltd

Analytics Reliability Engineer What You’ll Be Doing:<ul><li>Ensure high availability and performance of analytics platforms across AWS &amp; GCP</li><li>Design &amp; maintain robust data pipelines using Spark, Kafka, Airflow, Dataflow, and Solace</li><li>Manage advanced data stores &amp; tools: BigTable, Elasticsearch, Druid, Iceberg, Superset, and Notebooks</li><li>Administer MySQL (tuning, replication, migration), plus Postgres &amp; MongoDB on RDS/Aurora/Cloud SQL</li><li>Deploy &amp; orchestrate infrastructure using Kubernetes (EKS, GKE, Rancher), Docker, and Terraform/CloudFormation</li><li>Lead capacity planning, autoscaling, DR, and lifecycle management</li><li>Implement observability with CloudWatch, Grafana, Prometheus, Splunk, AppDynamics, and Mosaic</li><li>Troubleshoot and support React/Next.js/Node.js based UIs (TypeScript, SASS, styled-components)</li><li>Enforce security best practices: IAM, SSL/TLS, logging, proxies, and auth frameworks</li><li>Collaborate with engineering, SREs, and vendors in a cloud-native environment</li><li>Participate in on-call rotations to support 24/7 uptime</li><li>Build internal tools and automation scripts to increase efficiency</li><li>Stay updated with the latest in analytics reliability &amp; data infrastructure trends</li></ul> What You Bring:<ul><li>6–8 years of hands-on experience in data reliability engineering or SRE for analytics</li><li>Strong expertise in cloud platforms (AWS, GCP) and container orchestration with Kubernetes</li><li>Proven ability to handle large-scale data pipelines, observability stacks, and backend integrations</li><li>Experience managing both data infrastructure and modern UI stacks</li><li>Passion for reliability, automation, and continuous improvement</li></ul> <ul><li>Experience Level: 6–8 Years</li><li>Immediate Joiners Preferred!</li></ul> Share your updated resume now.

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