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<div style=""><b style="font-weight: 700">Role:</b> Full Stack Data Scientist</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><b style="font-weight: 700">Domain:</b> Banking / Financial Services preferred</div><div style=""><b style="font-weight: 700">Role Overview</b></div><div style="">We are looking for a dynamic professional to join our team as a <b style="font-weight: 700">Front-End Developer with Machine Learning expertise</b>. This is a hybrid role that involves <b style="font-weight: 700">30% front-end development</b> and <b style="font-weight: 700">70% machine learning/data science</b> responsibilities. The ideal candidate will bridge the gap between intuitive UI design and intelligent ML-powered backend systems, primarily in a banking domain environment.</div><div style=""><b style="font-weight: 700">Key Responsibilities</b></div><ul>  <li style="">Design and develop responsive, user-friendly web interfaces .</li>  <li style="">Collaborate with data scientists to build, integrate, and deploy ML models into &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;production environments.</li>  <li style="">Own the complete development and deployment lifecycle for ML-powered features, &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;including UI integration.</li>  <li style="">Build and maintain scalable, cloud-based solutions using AWS services.</li>  <li style="">Work within an agile setup and coordinate closely with both engineering and &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;data science teams.</li></ul><div style=""><b style="font-weight: 700">Preferred Candidate Profile</b></div><ul>  <li style="">Proven &nbsp;expertise in:    <ul>      <li style="">Front-end development using <b style="font-weight: 700">JavaScript/React</b> (or similar frameworks)</li>      <li style="">Machine Learning using <b style="font-weight: 700">Python</b>, <b style="font-weight: 700">Scikit-learn</b>, <b style="font-weight: 700">TensorFlow</b>, or <b style="font-weight: 700">PyTorch</b></li>      <li style="">Deployment pipelines, <b style="font-weight: 700">Docker</b>, and <b style="font-weight: 700">CI/CD</b> practices</li>      <li style="">Cloud services, especially <b style="font-weight: 700">AWS</b> (Lambda, S3, SageMaker preferred)</li>    </ul>  </li></ul>

TA India - Hyderabad - ODC

Full Stack Data Scientist

<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>

TA India - Bangalore - ODC

Senior/Lead Data Scientist (Commercial Analytics, Pharma)

<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>

TA India - Remote

Qualtrics CX - Consultant/Senior Consultant

<div style=""><b style="font-weight: 700">Job Title: Senior / Lead Data Scientist</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?</b></div><div style="">As a Senior Data Scientist, your work is a combination of hands-on contribution to Loreum Ipsum, Loreum Ipsum, etc. More specifically, this will involve:</div><ul>  <li style="">Lead and contribute to developing sophisticated machine learning models, predictive analytics, and statistical analyses to solve complex business problems.</li>  <li style="">Demonstrate proficiency in programming languages such as Python or R, with the ability to write clean, efficient, and maintainable code. Experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn) is essential.</li>  <li style="">Use your robust problem-solving skills to develop data-driven solutions, analyse complex datasets, and derive actionable insights that lead to impactful outcomes.</li>  <li style="">Work closely with clients to understand their business objectives, identify opportunities for analytics-driven solutions, and communicate findings clearly and promptly.</li>  <li style="">Take ownership of end-to-end model development, from problem definition and data exploration to model training, validation, and deployment.</li>  <li style="">Collaborate with cross-functional teams, including data engineers, software developers, and business stakeholders, to integrate analytics solutions into business processes.</li>  <li style="">Leverage a profound understanding of mathematical and statistical principles to guide developing and validating advanced data science models.</li>  <li style="">Stay abreast of industry trends, emerging technologies, and best practices in data science, bringing innovative ideas to the team and contributing to continuous improvement.</li></ul><div style=""><b style="font-weight: 700">What do we expect?</b></div><ul>  <li style="">6-10 years of total DS and model development experience</li>  <li style="">A passion for writing high-quality code (Python), and the code should be modular, scalable, and end-end project execution while planning an active hands-on role</li>  <li style="">Having good problem-solving skills is essential, and it is equally important to have in-depth knowledge to solve complex problems effectively.</li>  <li style="">Comprehensive knowledge of the regression and classification concepts and mathematical backend along with SQL</li>  <li style="">Experience in <b style="font-weight: 700">Time Series Forecasting</b></li>  <li style="">Idea about other machine learning techniques (clustering, regression, ensemble learning, neural nets, time series, optimizations etc.) to their real-world problems</li>  <li style="">Encourage collaboration with various stakeholders and take complete ownership of deliverables.</li>  <li style="">Adept understanding of various data science approaches, machine learning algorithms, and statistical methods.</li>  <li style="">Excellent communication skills with presentability, articulation, storytelling capability, and ability to manage complex client situations</li>  <li style="">Effective mentoring of a team with expertise in industry/domain/functional areas.</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 Data Scientist

<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;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 andmove forward decisively. Our purpose is to provide certainty to shape a better tomorrow.</div><div style=""><br></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=""><br></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. Curious about the role? What your typical day would look like?</div><div style=""><br></div><div style=""><b style="font-weight: 700">Role Overview:</b></div><div style=""><br></div><div style="">We are looking for experienced Data Architects / Senior Data Architects to join our teams in Chennai, Bangalore, or Hyderabad. In this role, you will lead the architecture, design, and delivery of modern data platforms—including Data Lakes, Lakehouses, and Data Mesh—using Azure and Databricks. This is a hybrid role involving hands-on development, customer engagement, and technical leadership, where you will collaborate across teams to drive scalable and innovative data solutions end-to-end.</div><div style=""><br></div><div style=""><b style="font-weight: 700">Key Responsibilities:</b></div><ul>  <li style="">Architect and implement data solutions leveraging Azure and the Databricks ecosystem.</li>  <li style="">Own the complete lifecycle of data platform implementations—from requirements gathering and platform</li>  <li style="">selection to architecture design and deployment.</li>  <li style="">Work closely with data scientists, application developers, and business stakeholders to deliver enterprise-grade data solutions.</li>  <li style="">Continuously explore emerging technologies to solve business problems creatively.</li>  <li style="">Mentor and guide a team of data engineers, promoting best practices and innovation.</li>  <li style="">Contribute to broader organizational initiatives including capability building, solution development, talent acquisition, and industry events.</li></ul>

Azure Databricks Architect

<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=""><br></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=""><br></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="">Curious about the role? What your typical day would look like?</div><div style=""><br></div><div style=""><b style="font-weight: 700">Role Overview:</b></div><div style=""><br></div><div style="">We are seeking street-smart and technically strong Senior Data Engineers / Leads who can take ownership of designing and developing cutting-edge data and AI platforms using Azure-native technologies and Databricks. You will play a critical role in building scalable data pipelines, modern data architectures, and intelligent analytics solutions.</div><div style=""><br></div><div style=""><b style="font-weight: 700">Key Responsibilities:</b></div><ul>  <li style="">Design and implement scalable, metadata-driven frameworks for data ingestion, quality, and transformation across both batch and streaming datasets.</li>  <li style="">Develop and optimize end-to-end data pipelines to process structured and unstructured data, enabling the creation of analytical data products.</li>  <li style="">Build robust exception handling, logging, and monitoring mechanisms for better observability and operational support.</li>  <li style="">Take ownership of complex modules and lead the development of critical data workflows and components.</li>  <li style="">Provide guidance to data engineers and peers on best practices.</li>  <li style="">Collaborate with cross-functional teams—including business consultants, data architects, scientists, and application developers—to deliver impactful analytics solutions.</li></ul>

Azure Databricks Lead (Sr. Data Engineer)

<div style=""><b style="font-weight: 700">ML Engineer (ML Ops)</b></div><div style=""><b style="font-weight: 700">Chennai / Bangalore / 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 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?</b></div><div style="">We are looking for a Machine Learning Engineer/Sr MLE who will work on a broad range of cutting-edge data analytics and machine learning problems across a variety of industries. More specifically, you will</div><ul>  <li style="">Engage with clients to understand their business context.</li>  <li style="">Translate business problems and technical constraints into technical requirements for the desired analytics solution.</li>  <li style="">Collaborate with a team of data scientists and engineers to embed AI and analytics into the business decision processes.</li></ul><div style=""><b style="font-weight: 700">What do we expect?</b></div><ul>  <li style="">6+ years of experience with at least 4+ years of relevant <b style="font-weight: 700">MLOps experience</b>.</li>  <li style="">Proficient in a structured <b style="font-weight: 700">Python</b> (Mandate)</li>  <li style="">Proficient in any one of cloud technologies is mandatory ( AWS/ Azure/ GCP)</li>  <li style="">Proficient in <b style="font-weight: 700">Azure Databricks</b></li>  <li style="">Follows good software engineering practices and has an interest in building reliable and robust software.</li>  <li style="">Good understanding of DS concepts and DS model lifecycle.</li>  <li style="">Working knowledge of Linux or Unix environments ideally in a cloud environment.</li>  <li style="">Working knowledge of Spark/ PySpark is desirable.</li>  <li style="">Model deployment / model monitoring experience is desirable.</li>  <li style="">CI/CD pipeline creation is good to have.</li>  <li style="">Excellent written and verbal communication skills.</li>  <li style="">B.Tech from Tier-1 college / M.S or M. Tech is 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.</div><div style="">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=""><em>Additional Benefits: Health insurance (self &amp; family), virtual wellness platform, and knowledge communities.</em></div>

Senior ML Engineer (ML Ops)

<div style=""><b style="font-weight: 700">Title: Senior / Lead - AI</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="">As an <b style="font-weight: 700">AI lead</b> specializing in Generative AI, and Machine Learning Engineering (MLE), you will be at the forefront of AI innovation. Your role will involve designing, deploying, and operationalizing sophisticated models—including large language models (LLMs)—to solve complex business problems. You will work closely with cross-functional teams to create scalable, production-ready AI solutions that drive intelligent automation and creativity across industries.</div><div style=""><br></div><div style="">Your Key Responsibilities:</div><div style=""><br></div><div style="">● Generative AI, NLP &amp; MLE: Design, develop, deploy, and scale advanced applications using Generative AI models (e.g., GPT, LLaMA, Mistral), NLP techniques, and MLE/MLOps best practices to solve business challenges and unlock new opportunities.</div><div style="">● Model Customization &amp; Fine-Tuning: Apply techniques such as LoRA, PEFT, and fine-tuning of LLMs to build domain-specific models aligned with business use cases, with a focus on making them deployable in real-world environments.</div><div style="">● ML Engineering &amp; Deployment: Implement end-to-end ML pipelines—including data preprocessing, model training, versioning, testing, and deployment—using tools like MLflow, Docker, Kubernetes, and CI/CD practices.</div><div style="">● Innovative Problem Solving: Leverage cutting-edge AI and ML methodologies to solve practical business problems and deliver measurable results.</div><div style="">● Scalable AI Solutions: Ensure robust deployment, monitoring, and retraining of models in production environments, working closely with data engineering and platform teams.</div><div style="">● Data-Driven Insights: Conduct deep analysis of structured and unstructured data to uncover trends, guide decisions, and optimize AI models.</div><div style="">● Cross-Functional Collaboration: Partner with Consulting, Engineering, and Platform teams to integrate AI/ML solutions into broader architectures and business strategies.</div><div style="">● Client Engagement: Work directly with clients to understand requirements, present tailored AI solutions, and provide advisory on the adoption and operationalization of Generative AI and ML.</div>