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<div style="">Who we are?</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™ (2022-24), 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="">Curious about the role? What your typical day would look like?</div><div style=""><br></div><div style="">We’re seeking a dynamic Solutions Leader to drive growth within our AI Engineering Solutions team. You will lead initiatives to expand our AI solutions portfolio, working closely with senior stakeholders and cross-functional teams to deliver cutting-edge solutions that solve complex client challenges. If you have a background in AI engineering with a deep understanding of both technology and demand generation, this role offers an exciting opportunity to make a lasting impact.</div><div style="">As part of this role, you will:</div><div style="">· Lead the articulation of Tiger’s AI solutions’ value propositions, collaborating closely with consulting teams, technical leaders, and domain SMEs.</div><div style="">· Partner with sales teams and client partners to create targeted demand generation campaigns and support business development efforts.</div><div style="">· Work alongside technical teams to design, prototype, and showcase solutions that demonstrate real-world impact for clients.</div><div style="">· Develop sales assets, including solution presentations, POCs, case studies, and white papers, that strengthen our market presence.</div><div style="">· Establish Tiger’s thought leadership by coordinating marketing initiatives, publishing blogs, and participating in industry conferences.</div><div style="">Identify key trends in AI, relevant technologies, and industry-specific requirements to continually enhance our solution offerings.</div>

TA India - Chennai - CLO

Growth - AI Engineering

<div style="">MLOPS Lead-</div><div style="">Experience - 3.6 tp 8 Years</div><div style="">Location : Chennai / Bangalore / Hyderabad</div><div style=""><br></div><div style="">As a Senior MLOps Engineer, &nbsp;the role requires hands-on experience in building and managing ML Systems in Production with excellent MLOPS Skill sets. The position would &nbsp;be responsible for building machine learning pipelines and ML Application &nbsp;services and providing machine learning engineering support for Production teams .</div><div style="">This role operates at the crossroads of Machine Learning, Software/Data Engineering, and DevOps, leveraging best practices from each domain to optimize the deployment and management of machine learning models in production environments.</div><div style="">The Position would also be expected to be able to enhance the Technology stack, focusing on continuous improvements in the reliability, automation and efficiency of the Platform Solutions.</div><div style=""><br></div><div style=""><b style="font-weight: 700">Roles and responsibilities</b></div><ul>  <li style="">Manage ML Platform infrastructure to automate and accelerate model development and deployment</li>  <li style="">Define and build scalable ML pipelines that enables data scientists to build better models</li>  <li style="">Build dashboards and other Monitoring tools to optimize performance and Infrastructure Costs</li>  <li style="">Monitor and provide support to infrastructure and in production systems</li>  <li style="">Identify possible issues and performance leakages in the system and perform optimization</li>  <li style="">Mentoring team members through code review and knowledge sharing</li>  <li style="">Lead, mentor, and manage a team of Mlops engineers, fostering a collaborative and high-performance environment.</li>  <li style="">Oversee the team’s project management, ensuring timely and successful delivery of data solutions.</li>  <li style="">Design, develop, and maintain data science models and algorithms along with the DS team &nbsp;to drive business insights and decision-making onto the ML Platforms</li>  <li style="">Implement and manage CI/CD pipelines of Core Solution Packages and Applications</li>  <li style="">Containerize applications and workflows using Docker and App Service for consistent environments and deployment.</li>  <li style="">Work closely with various teams, including data science, engineering, and business units, to align ML Platform Solution with client goals.</li>  <li style="">Facilitate communication and collaboration between team members and other departments to ensure cohesive project execution.</li>  <li style="">Provide technical support and insights to cross-functional teams as needed.</li>  <li style="">Ensure ML systems comply with security standards and best practices in a cloud environment.</li>  <li style="">Identify and address technical debt in current ML projects, incorporating best MLOps practices.</li></ul><div style="">Preferred Experience</div><ul>  <li style="">8 + years of hands-on experience at scale in data science / ML engineering</li>  <li style="">Excellent hands on skills to write clean and structured SQL, Python and Shell programs</li>  <li style="">Good experience with infrastructure, including Cloud Computing, Linux OS, Networks, Kubenetes, Docker, Infrastructure as Code, RDBMS and NoSQL Databases</li>  <li style="">Good understanding of &nbsp;Machine learning concepts and MLops Best practices.</li>  <li style="">Quality experience in serving real-time, production-level machine learning models</li>  <li style="">Proven experience leading and Managing a team</li>  <li style="">Excellent communication skills</li>  <li style="">5+ years hands-on experience with Azure Cloud Technologies such as Azure Databricks, Azure DevOps, Azure App Service, Docker, Azure Key Vault, and other managed Azure services.</li>  <li style="">Proficient in AWS technologies, including Athena, Glue, ECS, EKS, and VPC, as well as AWS SageMaker for deploying machine learning models, improving automation, and implementing essential checks.</li>  <li style="">Proficiency in Python for developing automation Scripts, and Pipelines</li>  <li style="">Familiarity with Infrastructure as Code (IaC) tools such as Terraform or AWS CloudFormation for managing cloud infrastructure.</li>  <li style="">Basic Familiarity with the Data Science and Machine Learning lifecycle, as well as frameworks like scikit-learn, PyTorch, and TensorFlow.</li></ul>

Kandanchavadi - OMR Chennai (Offshore Delivery Centre) 

MLOps Engineer -ML Platforms

<div style=""><b style="font-weight: 700">Key Responsibilities:</b></div><div style="">● <b style="font-weight: 700">Azure Databricks Management:</b> Oversee and optimize Azure Databricks environments to ensure efficient and effective data processing and analytics. Implement best practices for configuration, scaling, and performance tuning of Databricks clusters.</div><div style="">● <b style="font-weight: 700">Hive Metastore Management:</b> Manage and optimize Hive Metastore integrations within Azure environments. Ensure data consistency, security, and performance for metadata management across big data applications. Configure or adjust heap memory for metastore and other configurations for increasing performance and troubleshoot jvm related issues for hive.</div><div style="">● <b style="font-weight: 700">Presto Operations:</b> Administer and enhance Presto deployments to support fast and scalable SQL query processing. Implement best practices for optimizing query performance and resource utilization.</div><div style="">● <b style="font-weight: 700">Automation &amp; CI/CD:</b> Develop and maintain automation workflows for managing Databricks, Hive Metastore, and Presto deployments. Implement and manage CI/CD pipelines using Azure DevOps and GitHub to streamline deployments and updates.</div><div style="">● <b style="font-weight: 700">Optimization &amp; Performance:</b> Continuously monitor and analyze the performance of Databricks, Hive Metastore, and Presto. Provide recommendations for system improvements, resource optimization, and cost-efficiency.</div><div style="">● <b style="font-weight: 700">Security &amp; Compliance:</b> Ensure that Azure Databricks, Hive Metastore, and Presto environments adhere to security policies and regulatory requirements. Conduct security assessments and implement data protection best practices.</div><div style="">● <b style="font-weight: 700">Documentation &amp; Handover:</b> Create and maintain detailed documentation for Databricks, Hive Metastore, and Presto configurations and processes. Ensure comprehensive and up-to-date handover of documentation to support teams for ongoing maintenance.</div><div style="">● <b style="font-weight: 700">Knowledge Sharing:</b> Provide training and share expertise with internal teams to enhance their understanding of Azure Databricks, Hive Metastore, and Presto. Ensure effective communication of best practices and operational procedures.</div><div style="">● <b style="font-weight: 700">Stakeholder Communication:</b> Engage with stakeholders, including project managers and developers, to provide updates on platform performance, technical issues, and solutions. Ensure clear and effective communication throughout project and operational activities.</div><div style="">● <b style="font-weight: 700">Continuous Improvement:</b> Stay informed about emerging Azure technologies and industry trends. Identify and implement opportunities for process improvements and contribute to the development of new tools and strategies.</div>

TA India - Hyderabad - ODC

Azure Platform Architect/ Data Architect – Databricks & Presto

<h3 style="font-size: 1.17em"><b style="font-weight: 700">Key Responsibilities:</b></h3><ol>  <li style=""><b style="font-weight: 700">Database Management:</b></li></ol><div style="">○ Install, configure, and maintain Azure SQL Database and other Azure-based database solutions.</div><div style="">○ Ensure the availability, performance, and security of all Azure databases.</div><div style="">○ Perform routine database maintenance, monitoring, and performance tuning.</div><div style="">○ Implement and manage high-availability (HA) and disaster recovery (DR) solutions using Azure services like Azure Site Recovery and Always On availability groups.</div><ol>  <li style=""><b style="font-weight: 700">Database Security:</b></li></ol><div style="">○ Implement data encryption, authentication, and authorization solutions to protect sensitive data.</div><div style="">○ Manage database security by creating, configuring, and managing roles, users, and permissions.</div><ol>  <li style=""><b style="font-weight: 700">Backup &amp; Recovery:</b></li></ol><div style="">○ Design and implement backup and recovery strategies for Azure SQL Databases.</div><div style="">○ Regularly test recovery procedures to ensure minimal downtime and data loss during critical failures.</div><ol>  <li style=""><b style="font-weight: 700">Performance Optimization:</b></li></ol><div style="">○ Conduct database tuning and performance optimization to enhance query performance.</div><div style="">○ Monitor performance trends and proactively address bottlenecks.</div><ol>  <li style=""><b style="font-weight: 700">Database Automation:</b></li></ol><div style="">○ Implement automation for routine database operations using Azure automation tools such as PowerShell and Azure Logic Apps.</div><div style="">○ Create and maintain database automation scripts for tasks such as backups, restores, and data refreshes.</div><ol>  <li style=""><b style="font-weight: 700">Database Upgrades &amp; Patching:</b></li></ol><div style="">○ Apply database patches and upgrades in Azure environments to ensure compliance and performance.</div><div style="">○ Plan and execute database migrations and updates with minimal disruption.</div><ol>  <li style=""><b style="font-weight: 700">Monitoring &amp; Troubleshooting:</b></li></ol><div style="">○ Use Azure Monitor, Azure Log Analytics, and other tools to monitor the health of databases.</div><div style="">○ Diagnose and resolve database-related issues, ensuring high availability.</div><ol>  <li style=""><b style="font-weight: 700">Collaboration:</b></li></ol><div style="">○ Work closely with development teams to design and support database solutions for application needs.</div><div style="">○ Collaborate with security and network teams to ensure database integrity and compliance with best practices.</div><ol>  <li style=""><b style="font-weight: 700">Documentation:</b></li></ol><div style="">○ Maintain up-to-date documentation of all database configurations, processes, and procedures.</div><div style="">○ Create detailed incident reports and root cause analyses for major database issues.</div>

Azure Database Administrator

<div style=""><b style="font-weight: 700">Key Responsibilities:</b></div><ol>  <li style=""><b style="font-weight: 700">Service Delivery Management:</b>    <ul>      <li style="">Oversee the delivery of services and solutions to ensure they meet or exceed client expectations.</li>      <li style="">Develop and implement strategies to enhance service delivery efficiency and effectiveness.</li>      <li style="">Act as the primary point of contact for clients, addressing any issues or concerns promptly.</li>    </ul>  </li>  <li style=""><b style="font-weight: 700">Process Alignment:</b>    <ul>      <li style="">Collaborate with cross-functional teams to align processes and workflows with business objectives.</li>      <li style="">Identify opportunities for process improvements and drive initiatives to optimize service delivery.</li>    </ul>  </li>  <li style=""><b style="font-weight: 700">Architecture Finalization:</b>    <ul>      <li style="">Work closely with technical and architect teams to finalize and validate service architectures.</li>      <li style="">Ensure that architectural designs align with client requirements and best practices.</li>    </ul>  </li>  <li style=""><b style="font-weight: 700">Team Management:</b>    <ul>      <li style="">Lead and manage a team of technical team, providing guidance, support, and performance feedback.</li>      <li style="">Foster a collaborative and high-performance team environment.</li>    </ul>  </li>  <li style=""><b style="font-weight: 700">Chargeback Management:</b>    <ul>      <li style="">Implement and manage chargeback processes for project costs (Platform and Labor) to first-party customers.</li>      <li style="">Ensure accurate and transparent billing for services delivered and resolve any discrepancies.</li>    </ul>  </li>  <li style=""><b style="font-weight: 700">New Project/Service Enablement and Retirement:</b>    <ul>      <li style="">Design comprehensive plans for the enablement of new projects and the retirement of legacy systems or services.</li>      <li style="">Develop detailed timelines and milestones for project enablement and service retirement.</li>      <li style="">Present these plans to leadership for review, feedback, and finalization.</li>      <li style="">Take actionable steps based on leadership feedback and ensure seamless execution of enablement and retirement plans.</li>    </ul>  </li>  <li style=""><b style="font-weight: 700">Azure and SQL Skills:</b></li></ol><div style="">● Employ SQL querying skills to analyse data, generate reports, and support decision-making processes.</div><ol>  <li style=""><b style="font-weight: 700">Reporting and Documentation:</b></li></ol><div style="">● Prepare and present regular reports on service delivery performance, project status, and team productivity.</div><div style="">● Maintain comprehensive documentation related to service delivery, architecture, chargeback processes, and project plans.</div>

Service Delivery Manager - Platforms

<div style=""><b style="font-weight: 700">Key Responsibilities:</b></div><div style="">● <b style="font-weight: 700">Advanced Troubleshooting:</b> Handle high-complexity incidents and problems related to Azure services (Data &amp; Integration Services resources like Databricks, ADF, SQL, Machine Learning workspace, Azure Web Apps, Azure Kubernetes etc.), including but not limited to performance optimization, and security issues. Provide advanced troubleshooting and root cause analysis for critical issues.</div><div style="">● <b style="font-weight: 700">Incident and Problem Management:</b> Lead the investigation and resolution of escalated L2 issues. Develop and implement long-term solutions to prevent recurrence of issues. Coordinate with other teams to ensure timely and effective resolution of complex problems.</div><div style="">● <b style="font-weight: 700">Azure Platform Optimization:</b> Analyse and optimize Azure resources for performance, cost-efficiency, and scalability. Recommend improvements to enhance system reliability and efficiency.</div><div style="">● <b style="font-weight: 700">Security &amp; Compliance:</b> Ensure that Azure environments adhere to security and compliance requirements. Perform security assessments, implement safeguards, and address vulnerabilities. Keep up to date with emerging security threats and Azure security features.</div><div style="">● <b style="font-weight: 700">Automation &amp; Scripting:</b> Develop and maintain automation scripts and tools to streamline operational tasks and enhance the efficiency of Azure resource management. Utilize PowerShell, Azure CLI, or other scripting languages as needed.</div><div style="">● <b style="font-weight: 700">Knowledge Transfer &amp; Documentation:</b> Create and maintain comprehensive documentation for support procedures, best practices, and complex issue resolutions. Provide mentorship and training to L1/L2 support engineers to enhance their technical capabilities.</div><div style="">● <b style="font-weight: 700">Customer and Stakeholder Communication:</b> Communicate effectively with internal stakeholders, including executives, to provide updates on critical issues, project status, and technical recommendations. Deliver high-quality support and foster strong relationships with key users.</div><div style="">● <b style="font-weight: 700">Continuous Improvement:</b> Stay abreast of the latest Azure technologies and industry trends. Identify opportunities for process improvements and contribute to the development of new support strategies and tools.</div>

Lead-Platform Support Engineer -Production Support

<div style=""><b style="font-weight: 700">Key Responsibilities:</b></div><div style="">● <b style="font-weight: 700">Incident Management:</b> Respond to and resolve L1 and L2 support tickets related to Azure services (Databricks, Data Factories, SQL etc.), including but not limited to virtual machines, storage accounts, and networking components.</div><div style="">● <b style="font-weight: 700">Troubleshooting &amp; Diagnosis:</b> Perform root cause analysis for reported issues, applying fixes, and escalating complex problems to higher-level support as necessary.</div><div style="">● <b style="font-weight: 700">Azure Platform Management:</b> Monitor and manage Azure resources, including VMs, storage, and networking. Perform routine maintenance tasks, such as patching and updates.</div><div style="">● <b style="font-weight: 700">Customer Support:</b> Provide clear, concise, and timely communication with internal users and stakeholders regarding incident status, resolution steps, and preventive measures.</div><div style="">● <b style="font-weight: 700">Documentation &amp; Reporting:</b> Maintain detailed documentation of issues, resolutions, and troubleshooting steps. Generate regular reports on support metrics and system performance.</div><div style="">● <b style="font-weight: 700">Knowledge Management:</b> Create and update knowledge base articles, standard operating procedures (SOPs), and training materials to facilitate ongoing support and user self-help.</div><div style="">● <b style="font-weight: 700">Collaboration:</b> Work closely with other IT teams, such as application developers, system administrators, and security professionals, to resolve cross-functional issues and enhance system performance.</div><div style="">● <b style="font-weight: 700">Compliance &amp; Security:</b> Ensure that support activities comply with company policies and industry standards, including data protection and security requirements.</div><div style=""><br></div>

Platform Support Engineer -Production Support

<div style="">Tiger Analytics is a global analytics consulting firm. With data and technology at &nbsp;&nbsp;the core of our solutions, we are solving some of the toughest problems out &nbsp;&nbsp;there. Our culture is modelled around expertise and mutual respect with a &nbsp;&nbsp;team first mindset.</div><div style=""><br></div><div style="">Working &nbsp;&nbsp;at Tiger, you’ll be at the heart of this AI revolution. You’ll work with &nbsp;&nbsp;teams that push the boundaries of what-is-possible and build solutions that &nbsp;&nbsp;energize and inspire. We &nbsp;&nbsp;are headquartered in the Silicon Valley and have our delivery centres across &nbsp;&nbsp;the globe. The below role is for our Chennai, Hyderabad or Bangalore office.</div><div style=""><br></div><div style=""><b style="font-weight: 700">About the role:</b></div><div style=""><br></div><div style="">As <b style="font-weight: 700">Program Lead - Technology &nbsp;&nbsp;Consulting (App)</b>, you will be key member of the teams working on end-to-end AI and analytics solutions being built for our clients. While your primary focus will be on application engineering components of the overall solution, you will collaborate with client and internal business consulting, data &nbsp;&nbsp;engineering, machine learning, data science teams and other SMEs for specific aspects of the solution. As the person responsible for the overall success of &nbsp;&nbsp;the program, you will:</div><div style="">· Drive overall program &nbsp;&nbsp;management, including problem discovery, scoping, change management and other &nbsp;&nbsp;delivery focussed activities</div><div style="">· Lead requirements elicitation using a combination of business acumen and technology understanding</div><div style="">· Translate business requirements to &nbsp;&nbsp;technical specifications with the help of analysts and technical architects</div><div style="">· Ensure all Functional and &nbsp;&nbsp;Non-Functional requirements are clearly captured and aligned with the client</div><div style="">· Work with UX designers for experience and visual design.</div><div style="">· Review solution architecture &amp; design and development estimates for conformity with client &nbsp;&nbsp;requirements</div><div style="">· Coordinate program delivery <em>(Create &nbsp;&nbsp;project plans, track milestones, review implementation, communicate updates, eradicate &nbsp;&nbsp;bottlenecks, mitigate risks, circumvent delays etc.)</em></div><div style="">· Measure and articulate value of &nbsp;&nbsp;solutions developed to help drive solution adoption by business teams.</div><div style="">· Ensure all engineering best &nbsp;&nbsp;practices are implemented throughout the program</div><div style="">This role involves a combination &nbsp;&nbsp;of hands-on contribution, customer engagement and team management.</div><div style=""><br></div><div style=""><b style="font-weight: 700">Required Skills &amp; Experience:</b></div><div style="">· 8-12 years of relevant &nbsp;&nbsp;experience, some of which has been in hands-on software development</div><div style="">· Program delivery experience in Enterprise Web Application development (Native cloud, On-premise, RDBMS/ big-data/NoSQL, Java/Python/Django/JavaScript)</div><div style="">· Project planning, execution and tracking primarily in an agile environment using frameworks such as SCRUM, &nbsp;&nbsp;Kanban etc.</div><div style="">· Well versed in various Enterprise Architectural paradigms (Especially in distributed systems) across technology &nbsp;&nbsp;stacks, working on programs with significant application engineering and development components. Exposure to Mobile Application development is a Plus</div><div style="">· Exposure to high volume data processing in batch and/or real time, and their impact on design, performance &nbsp;&nbsp;functioning, and maintenance of software system design</div><div style="">· Good experience is implementing secure coding practices and quality assurance</div><div style="">· Good experience in vulnerability assessment and security testing of Web applications</div><div style="">· Team management and client stakeholder management</div><div style="">· (Preferable) Exposure to MLOps/DevOps &nbsp;&nbsp;implementation techniques and practices so as to enable end to end automation of software development and deployment process on cloud</div>

TA India - Remote

Program Lead - Tech Consulting (App)

<div style=""><b style="font-weight: 700">Job Title: Data Engineer- Data Modelling</b></div><div style="">Tiger Analytics is a global AI and analytics consulting firm. With data and technology at the core of our solutions, our 2800+ 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="">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=""><b style="font-weight: 700">Curious about the role? What your typical day would look like?</b></div><div style="">As a Data Engineer, you will work to analyze various source and target data structures with an objective of curating related</div><div style="">data for various consumption patterns</div><div style="">On a typical day, you might</div><div style="">● Engage with the project stakeholders, understand the business requirements and analyze data.</div><div style="">● Able to understand Data quality reports and identify data patterns.</div><div style="">● Contribute to Data Modeling accelerators</div><div style="">● Create and maintain the Source to Target Data Mapping document that includes documentation of all entities,</div><div style="">attributes, data relationships, primary and foreign key structures, allowed values, codes, business rules, glossary</div><div style="">terms, etc.</div><div style="">● Gather and publish Data Dictionaries</div><div style="">● Able to communicate summary of data analysis in an effective manner.</div>

Data Engineer- Data Modelling

<div style=""><b style="font-weight: 700">Job Title: Senior / Lead Data Scientist</b></div><div style=""><b style="font-weight: 700">India Locations: Bangalore</b></div><div style=""><br></div><div style=""><b style="font-weight: 700">About the role:</b></div><div style="">As a Senior Data Scientist, you will work on a broad range of cutting-edge data analytics and machine learning problems across various industries; Seamlessly switch between roles of an Individual Contributor, team member, and data science manager as demanded by each project.</div><div style="">On a typical day, you might</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">Desired Skills and Experience:</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="">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">Mandatory </b>: Minimum 3+ years of experience in the Banking and Financial services industry</div><div style=""><br></div><div style=""><br></div>