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<div style=""><b style="font-weight: 700">Title: Platform Architect – DS/ML</b></div><div style="">Location: Chennai, Bangalore, Hyderabad</div><div style=""><br></div><div style=""><b style="font-weight: 700">Who we are</b></div><div style=""><br></div><div style="">Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services &amp; solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow.</div><div style="">Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence.</div><div style="">We are a Great Place to Work-Certified™ (2022-25), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine.</div><div style=""><br></div><div style=""><b style="font-weight: 700">Curious about the role? What your typical day would look like?</b></div><div style=""><br></div><div style="">We are seeking an experienced <b style="font-weight: 700">Platform Architect</b> with deep expertise in <b style="font-weight: 700">systems design, performance engineering, cloud infrastructure, and AI/ML platform development</b> to lead the architecture of our next-generation <b style="font-weight: 700">GenAI and agentic solutions</b>. This role will be central to shaping our AI strategy, designing scalable intelligent systems, and mentoring cross-functional teams across platform, ML, and software engineering.</div><div style=""><br></div><h3 style="font-size: 1.17em"><b style="font-weight: 700">Key Responsibilities</b></h3><h4 style="font-size: 1em"><b style="font-weight: 700">Architecture &amp; Design</b></h4><div style="">● Define the technical architecture for GenAI-powered products, including RAG pipelines, agentic workflows, and inference orchestration.</div><div style="">● Design scalable, fault-tolerant systems that support low-latency LLM inference, caching, streaming, and asynchronous workflows.</div><div style="">● Design and build scalable data processing pipelines to efficiently ingest, parse, index large volumes of multi-modal data</div><div style="">● Lead architectural reviews and technology assessments across infrastructure, software engineering, and ML domains.</div><div style="">● Establish architectural standards, reusable frameworks, and technical governance processes.</div><h4 style="font-size: 1em"><b style="font-weight: 700">System Optimization</b></h4><div style="">● Guide performance profiling, bottleneck analysis, and system-level optimization across pipelines.</div><div style="">● Implement and evolve strategies for caching, batching, model routing, multi-tenancy, and compute efficiency.</div><div style="">● Ensure high availability and resiliency of AI services under multi-tenant and large-scale workloads.</div><h4 style="font-size: 1em"><b style="font-weight: 700">AI Infrastructure &amp; Orchestration</b></h4><div style="">● Collaborate with ML, Data, and DevOps teams to build robust orchestration of data pipelines (e.g., Airflow, Ray, KServe).</div><div style="">● Define best practices for integrating vector databases, feature stores, model registries, and agent frameworks.</div><div style="">Drive adoption of cost-aware architecture, usage metering, and observability for GenAI platforms.</div>

TA India - Chennai - CLO

Platform Architect – DS/ML

<div style="">Tiger Analytics is global analytics consulting firm. With data and technology at the core of our solutions, we are solving some of the toughest problems out there. Our culture is modelled around expertise and mutual respect with a team first mindset.</div><div style=""><br></div><div style="">Working at Tiger, you’ll be at the heart of this AI revolution. You’ll work with teams that push the boundaries of what-is-possible and build solutions that energize and inspire. We are headquartered in the Silicon Valley and have our delivery centres across the globe. The below role is for our Chennai or Bangalore office, or you can choose to work remotely.</div><div style=""><br></div><div style="">About the role:</div><div style=""><br></div><div style="">As a Program Lead – Healthcare Analytics &amp; Technology, you will be responsible for driving the architecture, delivery, and governance of Azure-based data solutions across multiple programs. You will play a strategic role in data transformation initiatives while mentoring team members and collaborating with stakeholders across functions. The role also requires exposure to advanced analytics, data science, and LLM integration in production environments, along with strong Healthcare domain experience.</div><div style=""><br></div><div style="">KRAs</div><div style=""><br></div><div style="">If you are looking for an entrepreneurial environment, and are passionate to work on unstructured business problems that can be solved using data, we would like to talk to you.</div><div style="">· Lead design and implementation of scalable cloud data platforms</div><div style="">· Enable advanced analytics and AI by operationalizing structured and unstructured data flows</div><div style="">· Drive data governance, security, and compliance across systems</div><div style="">· Oversee CI/CD pipelines, DevOps automation, and release management</div><div style="">· Drive data analysis, insights generation displaying strong knowledge in the Healthcare domain</div><div style="">· Collaborate with stakeholders to translate business needs into scalable data solutions</div><div style="">· Mentor team members and ensure technical alignment across cross-functional teams</div><div style="">· Independently manage multiple projects with high impact and visibility</div>

TA India - Remote

Program Lead - Healthcare Analytics & Technology

<div style="">Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services &amp; solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow.</div><div style="">Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore, and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in the Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence.</div><div style="">We are a Great Place to Work-Certified™ (2022-24), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine.</div><div style=""><br></div><div style=""><b style="font-weight: 700">About the role:</b></div><div style="">Tiger’s fast-growing Banking &amp; Financial Services vertical is looking for skilled and motivated <b style="font-weight: 700">Pega CDH Developers</b> to join our dynamic team. This role offers the opportunity to work on cutting-edge decisioning platforms, delivering high-impact solutions for major financial institutions.</div><div style="">You will be responsible for configuring, enhancing, testing, and supporting the <b style="font-weight: 700">Pega Customer Decision Hub (CDH)</b>application, including <b style="font-weight: 700">building and refining NBA strategies, decision flows, and adaptive models</b>. If you’re passionate about intelligent decisioning and want to build customer-centric solutions using the latest Pega CDH capabilities, this role is for you.</div><div style="">As part of a larger Financial Services practice, you will work on a range of <b style="font-weight: 700">business-critical initiatives, collaborate with cross-functional teams</b>, and contribute to building smarter and more personalized customer journeys.</div><div style=""><br></div><div style=""><b style="font-weight: 700">Location: &nbsp;&nbsp;</b>Hyderabad</div>

TA India - Hyderabad - ODC

Pega_CDH - BFS

<div style=""><b style="font-weight: 700">Title: &nbsp;AI Engineer – Senior / Lead / Staff</b></div><div style="">Location: Bangalore, Hyderabad</div><div style=""><br></div><div style=""><b style="font-weight: 700">Who we are?</b></div><div style=""><br></div><div style="">Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their &nbsp;toughest challenges. We offer full-stack AI and analytics services &amp; solutions to empower &nbsp;businesses to achieve real outcomes and value at scale. We are on a mission to push the &nbsp;boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move &nbsp;forward decisively. Our purpose is to provide certainty to shape a better tomorrow. Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, &nbsp;Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, &nbsp;Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in Top 10 and 40 &nbsp;Under 40 lists, exemplifying our dedication to innovation and excellence.&nbsp;</div><div style="">We are a Great Place to Work-Certified™ (2022-25), recognized by analyst firms such as Forrester, &nbsp;Gartner, HFS, Everest, ISG and others. We have been ranked among the ‘Best’ and ‘Fastest &nbsp;Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India &nbsp;Magazine.</div><div style=""><br></div><div style=""><b style="font-weight: 700">Curious about the role? What your typical day would look like?&nbsp;</b></div><div style=""><br></div><div style="">As an <b style="font-weight: 700">AI engineer </b>specializing in Agents, Generative AI, and Machine Learning Engineering (MLE), you will be at the forefront of AI innovation. Your role will involve designing, building, deploying, and operationalizing solutions for business problems across industries using large language models (LLMs) and agents. You will be part of the core AI solution development team and work closely with product development, platform engineering and enterprise architecture teams.</div><div style=""><br></div><div style=""><b style="font-weight: 700">Your Key Responsibilities:</b></div><div style="">&nbsp;● Agents, Generative AI, NLP &amp; AIOps: Design, develop, deploy, and scale advanced applications &nbsp;using LLMs (e.g., GPT, Gemini, LLaMA, Mistral), agent orchestration engines (e.g., LangGraph, &nbsp;AI foundry, Databricks Agent Bricks, ADK) NLP methods, and AIops best practices to build &nbsp;solutions to solve business problems.&nbsp;</div><div style="">● AI Engineering &amp; Deployment: Implement end-to-end AI pipelines—including data preprocessing, model training, versioning, testing, and deployment—using tools like MLflow, &nbsp;Docker, Kubernetes, and CI/CD practices.&nbsp;</div><div style="">● Innovative Problem Solving: Leverage cutting-edge AI and ML methodologies to solve practical &nbsp;business problems and deliver measurable results</div><div style="">Scalable AI Solutions: Ensure robust deployment, monitoring, and retraining of models in &nbsp;production environments, working closely with data engineering and platform teams.</div><div style="">&nbsp;● Data-Driven Insights: Conduct deep analysis of structured and unstructured data to uncover &nbsp;trends, guide decisions, and optimize AI models.&nbsp;</div><div style="">● Cross-Functional Collaboration: Partner with Consulting, Engineering, and Platform teams to &nbsp;integrate AI/ML solutions into broader architectures and business strategies.</div><div style=""><br></div><div style=""><b style="font-weight: 700">What do we expect?</b></div><div style=""><br></div><div style="">• Overall, 4-12 years of experience with real-time experience in AI, ML with recent experience &nbsp;in Agents, GenAI and AIOps.&nbsp;</div><div style="">• Expertise in Generative AI: Significant hands-on experience in building and deploying &nbsp;solutions using LLMs, Agents to solve business problems&nbsp;</div><div style="">• Hands-on experience with building and optimizing RAG agents, enterprise search &nbsp;applications, large scale unstructured data processing, prompt tuning, and setting up event &nbsp;driven architectures</div><div style="">&nbsp;• Production Readiness: Proven experience in deploying and scaling Gen AI, agents and &nbsp;other ML models including experience in performance optimization&nbsp;</div><div style="">• Deployment Tools &amp; Best Practices: Strong experience in Devops and associated &nbsp;technology such as containerization (Docker), orchestration (Kubernetes), model monitoring and cloud platforms (AWS/GCP/Azure) for deploying AI solutions at scale.&nbsp;</div><div style="">• Expertise in Software development using Python including using frameworks (such as &nbsp;Django/Flask) or other similar technologies.</div><div style="">• In-depth understanding and experience building APIs and microservices&nbsp;</div><div style="">&nbsp;• Innovation &amp; Curiosity: A passion for staying updated with the latest in Gen AI, LLMs, and &nbsp;ML engineering practices.</div><div style="">&nbsp;• Communication: Ability to translate complex technical concepts into business-friendly &nbsp;insights and recommendations.&nbsp;</div><div style="">• Eagerness to rapidly prototype ideas, experiment, and turn them into real-world solutions &nbsp;that can scale.&nbsp;</div><div style="">• Excited to explore emerging technology and frameworks in agentic and Gen AI &nbsp;technology areas</div><div style=""><br></div><div style="">You are important to us, let’s stay connected! Every individual comes with a different set of skills and qualities so even if you don’t tick all the &nbsp;boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow. We are an equal-opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire.&nbsp;</div><div style=""><br></div><div style=""><br></div>

TA India - Bangalore - ODC

 AI Engineer – Senior / Lead / Staff

<div style=""><b style="font-weight: 700">Role:</b> Machine Learning Engineer-(MLE + ReactJS/AngularJS)</div><div style=""><b style="font-weight: 700">Location:</b> Hyderabad (Hybrid Mode)<br><b style="font-weight: 700">Availability:</b> Immediate joiners or 0–30 days notice preferred<br></div><div style=""><b style="font-weight: 700">Role Overview</b><br>We are looking for a skilled and proactive professional to join our team as a Senior Machine Learning Engineer, with strong expertise in both Machine Learning and front-end technologies such as ReactJS or AngularJS. This hybrid role includes approximately focus on machine learning/data science and &nbsp;front-end development. The ideal candidate will help bridge the gap between intelligent ML systems and user-centric interface design, preferably within a banking or financial services context.</div><div style=""><b style="font-weight: 700">Key Responsibilities</b></div><ul>  <li style="">Design and build responsive, user-friendly web interfaces.</li>  <li style="">Collaborate with data scientists to develop and integrate ML models into applications.</li>  <li style="">Lead the development of ML-powered features with seamless UI integration.</li>  <li style="">Participate in agile ceremonies and work closely with cross-functional teams.</li></ul><div style=""><b style="font-weight: 700">Preferred Candidate Profile</b><br>Strong hands-on experience in Machine Learning using Python, Scikit-learn, TensorFlow, or PyTorch<br>Front-end development experience using JavaScript with ReactJS or AngularJS<br>Experience with any cloud platform (AWS, Azure, GCP, etc.)</div>

Machine Learning Engineer-(MLE + ReactJS/AngularJS)

<div style=""><b style="font-weight: 700">Senior/ Lead Data Scientist</b></div><div style=""><b style="font-weight: 700">Chennai, Bangalore and Hyderabad</b></div><div style=""><br></div><div style=""><b style="font-weight: 700">Who we are</b></div><div style="">Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest</div><div style="">challenges. We offer full-stack AI and analytics services &amp;amp; solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do</div><div style="">to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to</div><div style="">shape a better tomorrow.</div><div style="">Our team of 6000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore</div><div style="">and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life</div><div style="">Sciences, and Healthcare. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying</div><div style="">our dedication to innovation and excellence.</div><div style="">We are a Great Place to Work-Certified™ (2022-24), recognized by analyst firms such as Forrester,</div><div style="">Gartner, HFS, Everest, ISG and others. We have been ranked among the ‘Best’ and ‘Fastest Growing’</div><div style="">analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine.</div><div style="">Curious about the role? What your typical day would look like?</div><div style="">As a Senior/Lead Data Scientist, you will be at the forefront of solving high-impact business problems</div><div style="">using advanced machine learning, data engineering, and analytics solutions. You will lead and contribute to</div><div style="">projects involving the development, deployment, and monitoring of ML/AI models in GCP environment</div><div style="">across industries. The role demands a balanced mix of technical expertise, stakeholder management, and</div><div style="">leadership.</div><div style=""><b style="font-weight: 700">Key Responsibilities</b></div><div style=""> Lead and contribute to developing sophisticated machine learning models, predictive analytics, and</div><div style="">statistical analyses to solve complex business problems.</div><div style=""> Demonstrate proficiency in programming languages such as Python, with the ability to write clean,</div><div style="">efficient, and maintainable code.</div><div style=""> Use your robust problem-solving skills to develop data-driven solutions, analyse complex datasets,</div><div style="">and derive actionable insights that lead to impactful outcomes.</div><div style=""> Take ownership of end-to-end model development—from problem definition and data exploration</div><div style="">to model training, validation, deployment, and monitoring—delivering scalable solutions in real-</div><div style="">world settings.</div><div style=""> Work closely with clients to understand their business objectives, identify opportunities for</div><div style="">analytics-driven solutions, and communicate findings clearly and promptly.</div><div style=""> Collaborate with cross-functional teams, including data engineers, software developers, and</div><div style="">business stakeholders, to integrate machine learning solutions into business processes, with an</div><div style="">emphasis on production-grade deployment.</div><div style=""> Implement and scale AI/ML models on Google Cloud Platform using tools like Vertex AI</div><div style="">Workbench, Vertex AI Pipelines (Kubeflow), and BigQuery to accelerate development and</div><div style="">streamline production deployment.</div><div style=""> Deploy, serve, and manage high-performance models using Vertex AI Endpoints, Cloud Run, and</div><div style="">Cloud Composer, ensuring resilience and observability via Vertex Model Monitoring, Cloud</div><div style="">Monitoring, and Logging.</div><div style=""><br></div><div style=""><b style="font-weight: 700">What do we expect?</b></div><div style="">● 6–10 year’s experience in data science and ML model development</div><div style="">● A passion for writing high-quality, modular, and scalable code (Python), with hands-on involvement</div><div style="">across end-to-end project execution.</div><div style="">● Solid understanding of regression, classification, and statistical methods</div><div style="">● Proven experience deploying machine learning models in production using Google Cloud Vertex AI</div><div style="">(Training Jobs, Custom Training, Model Registry, Scoring Jobs, Experiment Tracking using</div><div style="">TensorBoard)</div><div style="">● Experience in orchestrating ML pipelines using Vertex AI Pipelines (Kubeflow) and/or Cloud</div><div style="">Composer (Apache Airflow)</div><div style="">● Hands-on exposure to GCP services like Vertex AI SDK, Cloud Storage, Cloud Run, and CI/CD</div><div style="">pipelines (GitHub Actions, Cloud Build)</div><div style="">● Experience with monitoring and maintaining ML models in production, using Vertex AI Model</div><div style="">Monitoring and related GCP tools</div><div style=""><br></div><div style=""><b style="font-weight: 700">Good to Have</b></div><div style="">● Experience with Generative AI tools like Vertex RAG Engine, Agent Builder, Dialogflow CX, and</div><div style="">Google Agent Development Kit (ADK)</div><div style="">● Familiarity with API management (Apigee), VPC networking, load balancers, and GCP SDKs such</div><div style="">as Discovery Engine SDK, Reasoning Engine SDK, and GKE</div><div style=""><br></div><div style=""><b style="font-weight: 700">You are important to us, let’s stay connected!</b></div><div style=""><br></div><div style="">Every individual comes with a different set of skills and qualities so even if you don’t tick all the boxes for</div><div style="">the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow. We are an</div><div style="">equal-opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect,</div><div style="">and encourage people to grow the way they desire.</div><div style=""><br></div><div style="">Note: The designation will be commensurate with expertise and experience. Compensation packages are</div><div style="">among the best in the industry.</div><div style="">Additional Benefits: Health insurance (self &amp;amp; family), virtual wellness platform, and knowledge communities.</div>

Kandanchavadi - OMR Chennai (Offshore Delivery Centre) 

Senior / Lead Data Scientist_GCP

<div style=""><b style="font-weight: 700">Job Title: &nbsp;Senior/Lead Data Scientist (Pharma)</b></div><div style=""><b style="font-weight: 700">Locations: Chennai | Hyderabad | Bangalore</b></div><div style=""><br></div><div style=""><b style="font-weight: 700">Who we are</b></div><div style="">Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services &amp; solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow.</div><div style="">Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence.</div><div style="">We are a Great Place to Work-Certified™ (2022-24), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine</div><div style=""><br></div><h3 style="font-size: 1.17em"><b style="font-weight: 700">Curious about the role? What your typical day would look like? What do we expect?</b></h3><div style="">As a <b style="font-weight: 700">Senior/Lead</b> <b style="font-weight: 700">Data Scientist (Pharma)</b>, you will be at the forefront of driving innovation through cutting-edge data analytics and machine learning applications in the Pharma domain. On a typical day, immerse yourself in the following:</div><div style="">· <b style="font-weight: 700">Analytical Translation</b>: Translate complex business problems into sophisticated analytical structures, conceptualizing solutions anchored in statistical and machine learning methodologies.</div><div style="">· <b style="font-weight: 700">Problem Solving</b>: While technical proficiency in data manipulation, statistical modeling, and machine learning is crucial, the ability to apply these skills to solve real-world business problems is equally vital.</div><div style="">· <b style="font-weight: 700">Client Engagement</b>: Establish a deep understanding of clients' business contexts, working closely to unravel intricate challenges and opportunities.</div><div style="">· <b style="font-weight: 700">Algorithmic Expertise</b>: Develop and refine algorithms and models, sculpting them into powerful tools to surmount intricate business challenges.</div><div style="">· <b style="font-weight: 700">Quantitative Mastery</b>: Conduct in-depth quantitative analyses, navigating vast datasets to extract meaningful insights that drive informed decision-making.</div><div style="">· <b style="font-weight: 700">Cross-Functional Collaboration</b>: Collaborate seamlessly with multiple teams, including Consulting and Engineering, fostering relationships with diverse stakeholders to meet deadlines and bring Analytical Solutions to life.</div><div style=""><b style="font-weight: 700">Desired Skills and Experience:</b></div><div style="">· 6-8 years of Data Science Experience in the Pharma domain, with demonstrated proficiency and hands-on experience building data science solutions in the area of Commercial Analytics.</div><div style="">· Good understanding of Real-World Data (such as patient claims data, specialty pharmacy, EMR, market access data, consumer data) and their use cases in pharmaceutical/healthcare research</div><div style="">· Good communication skills, both verbal and written. Exhibit a fervour for crafting modular, scalable, and bug-free Python code.</div><div style="">· Comfortable in SQL with additional proficiency in office tools like Excel &amp; PowerPoint. Experience in production engineering best practices (e.g. Git versioning, Docker).</div><div style="">· Excitement to collaborate with diverse stakeholders across the organization.</div><div style="">· In-depth understanding of various data science approaches, machine learning algorithms, and statistical methods. Hunger to learn new technologies and embrace change.</div><div style=""><br></div><div style=""><b style="font-weight: 700">You are important to us, let’s stay connected!</b></div><div style="">Every individual comes with a different set of skills and qualities so even if you don’t tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow. We are an equal opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire.</div><div style=""><b style="font-weight: 700">Note:</b> The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry.</div><div style="">Additional Benefits: Health insurance (self &amp; family), virtual wellness platform, and knowledge communities.</div>

Senior/Lead Data Scientist (Commercial Analytics, Pharma)

<div style="">Tiger Analytics is a global AI and analytics consulting firm. With data and technology at the core of our solutions, our 4000+ tribe is solving problems that eventually impact the lives of millions globally. Our culture is modeled around expertise and respect with a team first mindset. Headquartered in Silicon Valley, you’ll find our delivery centers across the globe and offices in multiple cities across India, the US, UK, Canada, and Singapore, including a substantial remote global workforce.</div><div style=""><br></div><div style="">We’re Great Place to Work-Certified™. Working at Tiger Analytics, you’ll be at the heart of an AI revolution. You’ll work with teams that push the boundaries of what is possible and build solutions that energize and inspire.</div><div style=""><br></div><div style="">Tiger’s growing Banking Financial Services vertical seeks self-motivated AI/ML/Data Science professionals with domain expertise in the Banking and Financial Services space and strong technical skills for a challenging role in the Banking &amp; Financial Services Analytics area.</div><div style=""><br></div><div style=""><br></div>

Data Control Analyst - BFS

<div style=""><b style="font-weight: 700">Job Title: &nbsp;Senior Hiring – AI Pricing Operations</b></div><div style=""><b style="font-weight: 700">Locations: Chennai | Hyderabad | Bangalore</b></div><div style=""><br></div><div style=""><b style="font-weight: 700">Who we are</b></div><div style="">Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services &amp; solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow.</div><div style="">Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence.</div><div style="">We are a Great Place to Work-Certified™ (2022-24), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine</div><div style=""><br></div><div style=""><b style="font-weight: 700">Curious about the role? What your typical day would look like? What do we expect?</b></div><div style=""><b style="font-weight: 700">Process Ownership and Execution:</b></div><div style=""><b style="font-weight: 700">Process Ownership and Execution:</b></div><ul>  <li style="">Demonstrates complete ownership in ensuring delivery of retail pricing recommendations for various scenarios leveraging the best in class AI solutions</li>  <li style="">Ensure accurate and on-time delivery of pricing recommendations and the deliverables associated with these pricing recommendations</li>  <li style="">Constantly seeks out inefficiencies and patterns, driving continuous improvements to optimize operational effectiveness. Employ best practices to streamline delivery operations and ensure that the delivery meets best in class quality standards</li>  <li style="">Thrives on coordinating seamlessly with cross-functional teams—technology, product, data, and client stakeholders—to keep operations running smoothly.</li>  <li style="">Is committed to tackling issues head-on by quickly identifying challenges and escalating them to maintain uninterrupted workflows.</li>  <li style="">Has insatiable diligence in maintaining detailed operational trackers and dashboards, ensuring complete transparency and strict adherence to SLAs.</li>  <li style="">Develop and maintain appropriate documentation for pricing operations</li>  <li style="">Embraces growth and adaptability by expanding responsibilities to oversee operations for multiple clients and diverse use cases over time.</li></ul><div style=""><b style="font-weight: 700">Client and Stakeholder Management:</b></div><ul>  <li style="">Act as a primary point of contact for pricing-related inquiries from clients, product teams &amp; internal stakeholders</li>  <li style="">Actively work with the clients and internal stakeholders to set expectations on the timelines, delays and risks</li>  <li style="">Partner with product management to identify and integrate new product requirements into existing structures.</li></ul><div style=""><b style="font-weight: 700">Team Management:</b></div><ul>  <li style="">Manage a team from broad spectrum of practices like Consulting, Analysts, Data Scientists, Machine Learning Engineers, frontend and backend &nbsp;engineers that support the deployment and maintenance of the pricing solution</li>  <li style="">Provide training and support to internal teams (e.g., sales, customer service) on the pricing solution, tools, and processes.</li>  <li style="">Responsible for hiring &amp; onboarding new talent into the team.</li>  <li style="">Set clear expectations, evaluating performance, providing constructive feedback, and addressing underperformance.</li>  <li style="">Effectively assigning tasks and responsibilities, empowering team members, and monitoring the delivery.</li>  <li style="">Creating a positive and engaging work environment, recognizing achievements, and fostering a sense of purpose and belonging.</li>  <li style="">Effectively managing and allocating resources (people, budget, time, tools) to achieve objectives.</li></ul><div style=""><b style="font-weight: 700">What do we expect?</b></div><ul>  <li style="">Seasoned (15+ years) in managing client operations, delivery, or service teams in data-intensive or technology-driven environments.</li>  <li style="">Develop an in-depth understanding of the pricing solution and its functionalities across the spectrum of ML algorithm, backend and front-end applications</li>  <li style="">Proven ability to manage time-sensitive, mission-critical deliverables with a strong focus on accuracy and timeliness.</li>  <li style="">Exceptional organizational skills and the ability to work effectively under tight timelines.</li>  <li style="">Experience working across overlapping time zones and collaborating with diverse teams and senior stakeholders.</li>  <li style="">Proficiency with operational tools such as Excel, Jira, ServiceNow, and dashboards.</li>  <li style="">Ownership mindset with a commitment to delivering high-quality results consistently.</li>  <li style="">Experience in retail pricing operations preferred.</li></ul><div style=""><b style="font-weight: 700">You are important to us, let’s stay connected!</b></div><div style="">Every individual comes with a different set of skills and qualities so even if you don’t tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow. We are an equal opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire.</div><div style=""><br></div><div style=""><b style="font-weight: 700">Note:</b> The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry.</div><div style="">Additional Benefits: Health insurance (self &amp; family), virtual wellness platform, and knowledge communities.</div>

Senior Hiring – AI Pricing Operations

<div style=""><b style="font-weight: 700">About the role:</b></div><div style="">Tiger’s growing Banking Financial Services vertical seeks self-motivated <b style="font-weight: 700">AI/ML/Data Science professionals</b> with <b style="font-weight: 700">domain expertise in the Banking and Financial Services space</b> and strong technical skills for a challenging role in the <b style="font-weight: 700">Banking &amp; Financial Services Analytics</b> area.</div><div style="">Tiger is seeking a technical Qualtrics specialist for this role to support the growth of the client’s CX Research and Analytics team, specifically focusing on implementing and maintaining surveys, reporting, and technical implementations in the Qualtrics platform. The candidate will have the opportunity to work together with members of the Experience Optimization and Customer Experience Transformation teams. The candidate will be tasked with building and refining surveys and maintaining dashboards within the customer experience software platform and create strategic recommendations on how the client can improve and measure the health of the customer experience.</div><div style="">As part of larger Financial Services practice, you may get to work on a broad range of business-critical problems across various work streams across the <b style="font-weight: 700">BFS analytics value chain (Credit/Fraud Risk analytics, Marketing Analytics, Customer Analytics, Operations Analytics)</b>. You will be engaging with clients and client partners to understand their business context, and work with a team of data scientists and engineers</div><div style=""><b style="font-weight: 700">Location: <br> </b>Bangalore/Hyderabad/Chennai</div><div style=""><b style="font-weight: 700">Experience: 4 to 8 years</b></div><div style=""><b style="font-weight: 700">Responsibilities</b></div><div style="">· Develop surveys and maintain dashboards within the Voice of the Customer (VoC) Qualtrics XM Engage platform.</div><div style="">· Design and document functional and technical requirements and help scope projects by understanding timelines and work.</div><div style="">· Solve complex technical implementations both independently and in a team environment.</div><div style="">· Understand and keep up-to-date the Client’s Listens program’s standard operating procedures.</div><div style="">· Analyze VoC data and create CX measurement reports and dashboards to improve net promoter score (NPS), overall customer satisfaction (CSAT), retention, and other key metrics.</div><div style="">· Maintain industry knowledge on maximizing the effectiveness of a VOC platform.</div><div style=""><br></div>