Learning Agility Jobs in Gurgaon

Technical Lead Location: Gurgaon Main Responsibilities: Analyze, design, develop, test, deploy, maintain, and enhance software applications. Collaborate with architects and business analysts to define functionalities, resolve issues, and implement changes. Troubleshoot and resolve technical problems and bugs. Maintain and manage existing codebases efficiently. Perform unit testing, system testing, and bug fixing to ensure software quality. Conduct code reviews and continuously improve code standards. Manage configuration and release management tasks. Track defects and provide timely updates. Participate in project planning and status reporting. Qualifications & Work Experience: Bachelor s or Master s degree in Engineering (B.E./B.Tech/M.Tech) or MCA. 7 to 10 years of IT experience with a strong background in .NET technologies. Hands-on experience in C#, ASP.NET, MVC, ADO.NET, and SQL Server. Technical Skills: Proficient in C#, ASP.NET Framework (4.0+), MVC (4.0+). Strong knowledge of SQL Server 2008/2012, including triggers, views, and stored procedures. Experience with Entity Framework, LINQ, Web Services (WCF, REST, APIs). Good understanding of front-end technologies including HTML, CSS, jQuery, and JavaScript. Familiarity with design patterns, TFS, SSRS, and XSLT. Personal Skills: Leadership capabilities to guide and mentor the development team. Strong problem-solving skills and the ability to make impactful decisions. Excellent teamwork and communication skills. Expertise in coding, software architecture, and debugging. Commitment to continuous learning and proactive approach. Ability to take initiative and ownership. Skilled in conducting peer code reviews. Experience with deployment and configuration management. Qualification : Bachelors or Masters degree in Engineering (B.E./B.Tech/M.Tech) or MCA

Inside Sales Executive Location: Gurgaon Experience: 0 3 years Employment Type: Full-Time About the Role We are seeking a driven and results-oriented Inside Sales Executive to join our dynamic team in Gurgaon. In this role, you'll be instrumental in growing our Channel Partner Network, increasing revenue through strategic sales efforts, and enhancing our market presence through effective relationship-building and follow-ups. Whether you're just starting your career or bringing a few years of experience, this is a great opportunity to contribute to a fast-growing business and take your sales career to the next level. Key Responsibilities Acquire new Channel Partners to expand our channel business. Drive lead conversions and boost revenue through well-planned sales initiatives. Collaborate with the sales team to design and implement impactful sales strategies. Manage the end-to-end sales cycle independently, with a strong focus on closures and targets. Build strong, lasting relationships with Channel Partners through regular follow-ups and excellent customer service. Consistently achieve and exceed monthly sales targets. Enhance Square Connect's market presence and brand visibility in the region. Candidate Profile Minimum qualification: Graduate in any discipline Strong communication skills both verbal and written Confident, target-driven, and self-motivated Ability to work independently and in a team-oriented environment Prior experience in sales, telesales, or channel management (preferred but not mandatory) Opportunity to work in a fast-paced, growth-oriented environment Competitive performance-based incentives Learning and career development opportunities Be part of a brand making a strong impact in the market Qualification : Graduate in any discipline

Product Analyst - Team Lead (Risk) Location: Gurugram, Haryana (On-site) Company: Paytm India s Leading Mobile Payments & Financial Services Platform About Paytm Paytm is India s pioneer in mobile payments and financial services distribution, transforming commerce for millions of small businesses. Our mission is to empower half a billion Indians by bringing them into the mainstream economy using innovative technology. About the Team The Credit Risk Product Team plays a critical role in lending by developing efficient, scalable, and compliant risk assessment models. The team partners with data scientists, engineers, and business stakeholders to refine underwriting processes through advanced analytics and machine learning optimizing loan performance and minimizing defaults. Role Overview We are looking for a detail-oriented Product Analyst to lead credit risk initiatives. In this role, you will implement and optimize credit risk policies while ensuring compliance with regulatory requirements. You will work closely with data scientists, product managers, and credit teams to enhance underwriting models and risk decision frameworks. Key Responsibilities Analyze credit risk across multiple credit products, such as credit cards, merchant loans, and personal loans. Collaborate with business teams to understand and implement credit risk policies on the platform. Monitor and evaluate the performance of risk policies; provide actionable feedback to Product and Policy teams. Leverage alternative data sources, machine learning models, and traditional credit assessments to improve risk evaluation. Conduct testing, scenario analysis, and policy resilience measurement. Track key risk indicators (KRIs) and generate insights for management. Ensure compliance with regulatory guidelines and internal risk frameworks. Work with product and technology teams to embed risk-based decision-making into lending workflows. Qualifications 1 2 years of relevant experience, preferably in fintech or banking. Strong proficiency in SQL and Python for data analysis and manipulation. Basic understanding of APIs and streaming platforms like Kafka is a plus. Excellent analytical, problem-solving, and communication skills. Ability to thrive in a fast-paced, dynamic environment and collaborate cross-functionally. Educational background: B.Tech from reputed institutes like NIT, BITS, or equivalent. Be part of India s largest fintech lending ecosystem with 500+ million users and 21+ million merchants. Work in a fun, energetic environment designed to help you reach your full career potential. Unique opportunity to shape India s largest digital lending story and drive financial inclusion.

Associate, Technical Application Support (Customer Excellence Analyst) Location: Gurgaon, India Department: Operations Group Grade Level: 07 Job ID: 315830 Company: S&P Global Market Intelligence Overview As a Customer Excellence Analyst on the KY3P platform support team, you ll serve as a critical liaison between clients and S&P Global s internal operations. You'll support onboarding, training, issue resolution, and product adoption for major financial institutions using KY3P a platform that simplifies third-party risk management and due diligence. Key Responsibilities Act as the main point of contact during client onboarding and beyond. Ensure excellent customer service by resolving issues, answering queries, and meeting SLAs. Deliver training sessions and product demonstrations to promote platform engagement. Analyze client feedback and collaborate with internal teams to improve platform experience. Support data validation and integrity checks in coordination with business partners. Track and escalate bugs, feature requests, and product enhancement ideas. Stay current on regulatory trends and how they impact platform usage. Qualifications Education: Bachelor s degree (any field). Experience: 0 2 years (client service experience preferred). Strong communication skills with a client-focused mindset. Ability to multitask and collaborate across departments. Analytical mindset and a willingness to learn product and industry knowledge. What You ll Gain Experience supporting global banks and major financial clients. Hands-on training on industry platforms, regulations, and client management. Access to internal development programs and a strong career growth trajectory. Benefits & Culture at S&P Global Health & wellness coverage Flexible time off and family-friendly policies Learning & development resources Competitive compensation and long-term financial planning tools A global, diverse team built on values of Integrity, Discovery, and Partnership Qualification : Bachelors degree (any field).

Job Summary: Senior Application Specialist Location: Gurgaon, India Grade Level: 10 Department: Operations Group Company: S&P Global Market Intelligence Overview: As a Senior Application Specialist, you will play a pivotal role in delivering expert-level application support for thinkFolio, S&P Global s portfolio management software. You will be the primary liaison for troubleshooting and resolving client issues, maintaining service excellence, and contributing to documentation and process improvements. This role offers extensive cross-functional collaboration and interaction with global clients in the banking, asset management, and hedge fund industries. Key Responsibilities: Serve as a product expert for thinkFolio, offering technical and functional support to clients. Troubleshoot and resolve complex client issues efficiently, escalating when necessary. Manage incoming support requests, ensuring SLAs are met while maintaining clear communication. Document client issues, resolutions, and communication using internal support systems. Collaborate with global teams across business lines and senior management for knowledge sharing and resolution tracking. Contribute to the creation and maintenance of user manuals, troubleshooting guides, and knowledge base content. What You Bring: Education: Bachelor s degree in Computer Science, Information Technology, or related field. Experience: 5+ years in enterprise software support; experience in financial services or investment systems is preferred. Technical Skills: Proficiency in SQL, scripting languages, and data analysis tools. Soft Skills: Strong analytical, problem-solving, and communication skills. Ability to multitask and prioritize under pressure. Mindset: Customer-first attitude with an aptitude for learning new financial technologies and sharing knowledge. What s In It for You: Accelerated growth through exposure to enterprise software used by global financial institutions. Cross-regional collaboration and learning opportunities in a high-impact environment. Access to continuous learning, competitive compensation, wellness programs, and family-friendly benefits. The chance to be part of a global, inclusive organization driven by Integrity, Discovery, and Partnership. About S&P Global Market Intelligence: A division of S&P Global, we provide essential data, insights, and technology that enable clients to make confident decisions. We empower businesses to track markets, manage risk, and identify opportunities in a fast-changing global environment. Qualification : Bachelors degree in Computer Science, Information Technology, or related field.

Product Manager Location: Gurugram, India Type: Full-Time Experience: 2 5 Years Category: Product Management About Investwell Investwell (Excel Net Solutions Pvt. Ltd.) is India s leading enterprise software provider for financial advisors. Our SaaS platform empowers top financial planners to help millions of Indians achieve their investment goals. From enabling portfolio rebalancing to handling large-scale transactions daily, our tools drive better financial decision-making. If you re excited about building solutions that shape the future of investing, this is the place for you. Role Overview We are looking for a strategic and user-focused Product Manager to join our growing team. You will be responsible for defining product strategy, leading cross-functional initiatives, and shaping the roadmap for key modules of our fintech platform. This is a great opportunity for someone with strong analytical skills, a passion for solving real-world financial problems, and experience managing SaaS products. Key Responsibilities User Advocacy: Deeply understand and represent user needs throughout the product lifecycle. Strategy & Roadmapping: Define and evolve strategy for core product modules, ensuring alignment with company vision. Product Vision: Craft a compelling product vision and rally stakeholders around it. Prioritization & Execution: Prioritize features based on user feedback, business impact, and technical feasibility. Collaborate closely with product owners and engineering teams to drive execution. Market Analysis: Monitor the competitive landscape, track industry trends, and gather actionable customer feedback. Lifecycle Ownership: Own the product lifecycle from ideation to launch, iteration, and end-of-life decisions. Required Experience & Skills 2 5 years of core Product Management experience, preferably in a fintech or SaaS environment. Solid understanding of agile methodologies and product lifecycle management. Proficiency in product management tools such as JIRA, Trello, or Asana. Strong analytical, research, and documentation skills. Demonstrated ability to think strategically, make data-informed decisions, and manage competing priorities. Excellent communication and stakeholder management skills. Bachelor s degree in Engineering (B.Tech/BE) or equivalent professional experience. Perks & Benefits 5-day work week with flexible hours. Free group medical insurance (coverage up to 3 Lakhs) for all permanent employees. Complimentary financial planning consultations with certified professionals. Personalized guidance to begin and improve your own investment journey. A collaborative and high-growth work culture with regular team events and learning opportunities. At Investwell, you ll get to lead products that directly impact the financial well-being of millions. You'll collaborate with talented developers, designers, and stakeholders in a culture that encourages ownership, innovation, and continuous learning. Qualification : Bachelors degree in Engineering (B.Tech/BE) or equivalent professional experience.

Business Development Intern Location: Gurugram Experience: 0-1 Year Job Type: Internship Department: Marketing About Procol Procurement functions in over 80% of companies are still managed via email, Excel, and phone calls, leading to inefficiencies, delays, and cost leakages of up to 20%. Procol helps procurement teams move away from these legacy, manual processes to automated systems that are ~50% more efficient, twice as fast, and deliver 2-10% overall cost savings. Founded in 2018, Procol s secure procurement platform is trusted by many $1B+ global companies, managing over $5Bn in spend. Rated 4.9/5 on G2 and featured by Forbes, our team includes ex-Google New York, Zomato, and OYO professionals. We are backed by investors such as Blume Ventures, Peak XV Surge, Beenext, and Rainmatter. Job Description As a Business Development Intern, you will play a crucial role in identifying new leads and generating business opportunities. This is an excellent opportunity to gain hands-on experience in sales prospecting within a fast-growing startup. What You ll Do Identify potential customers and generate new business leads through various channels. Contact and qualify prospective customers. Set appointments and follow up on leads to nurture relationships. Prospect new customers through lead generation, trade shows, cold calling, and follow-up. Manage leads and sales activities using CRM software. Stay updated on market trends, competitors, and new product features. Attend networking events and trade shows to build relationships and generate leads. Collaborate with sales, marketing, and customer success teams to align strategies and share insights. What You ll Bring Hands-on experience or familiarity with sales prospecting techniques such as personalized outreach, cold emailing, and social media outreach. Excellent communication and interpersonal skills. Strong motivation to meet individual and team goals. Resilience and persistence, with the ability to bounce back from setbacks. Strong problem-solving skills and a proactive mindset. Ability to take ownership and work independently. Why You ll Love Procol Work at one of the fastest-growing startups with the potential to positively impact millions of people. Collaborate with dynamic, passionate peers who will challenge and support your growth. Gain meaningful ownership of a key part of our business while working directly with leadership. Competitive internship stipend and benefits.

Job Title: Computer Vision Researcher (3D) AI & Deep Learning | Spyne (Gurgaon) Location: Gurgaon, India | Work Mode: Full-Time, Onsite | Experience: 1 3 Years Keywords: Computer Vision Jobs India, Deep Learning Researcher, GAN Engineer, AI Research Jobs, ML Engineer, Generative AI Careers About Spyne Spyne is transforming the future of automotive retail with next-gen Generative AI. From AI-powered car visuals to a full-stack ecosystem for online vehicle commerce, we re enabling dealerships to create, price, and market inventory faster and smarter. Backed by $16M Series A funding from top VCs like Vertex Ventures and Accel Rapid expansion across the US and EU markets Achieved 5x revenue growth in 15 months aiming for another 3-4x in 2025 Leading the GenAI wave with AI-driven sourcing, pricing, CRM, and Agentic AI tools Role Overview: Computer Vision Engineer / Researcher We re hiring a passionate Computer Vision Engineer (3D) to join our Research & AI Product team. You ll work on state-of-the-art deep learning models especially GANs to develop and deploy scalable image processing and enhancement pipelines across automotive, e-commerce, food, and real estate domains. You ll play a pivotal role in building innovative AI-powered products that impact millions of images and videos, optimizing workflows for global businesses. Key Responsibilities Research & Experimentation Stay up to date with cutting-edge publications in AI, Computer Vision, and Deep Learning. Prototype innovative approaches from top-tier conferences (CVPR, NeurIPS, ICCV). AI Model Development & Deployment Train, fine-tune, and deploy models for image enhancement, segmentation, and classification using PyTorch/TensorFlow. Work on GAN Architectures Develop and optimize Generative Adversarial Networks (GANs) for image inpainting, background removal, super-resolution, and 3D scene generation. Scalable AI Infrastructure Collaborate with MLOps and Data Engineering teams to build robust AI pipelines on cloud platforms (AWS, GCP, Azure). Cross-Team Collaboration Work closely with Product Managers, Software Engineers, and Data Scientists to align AI capabilities with business goals. Mentorship & Guidance Contribute to a culture of innovation by mentoring junior researchers and participating in peer reviews. Requirements & Qualifications Education & Experience B.Tech / M.Tech in Computer Science, Artificial Intelligence, or related field (Tier 1 or Tier 2 institute preferred) 1 3 years of hands-on experience in Computer Vision, AI model development, and Deep Learning Technical Skills Deep Learning Frameworks: Strong expertise in PyTorch or TensorFlow Generative Models: Proven experience with GANs for real-world use cases Programming: Proficiency in Python, plus experience in C++ or C# Image Processing Libraries: OpenCV, PIL, NumPy, Scikit-image Cloud Platforms: Hands-on experience deploying models on AWS, GCP, or Azure Research Mindset: Ability to implement novel ideas from AI research papers into practical solutions Soft Skills & Work Ethic Strong analytical and problem-solving capabilities Excellent communication and collaboration skills Comfort in a high-performance, office-first environment (5 days/week) Familiarity with Agile, Git, Jira, and collaborative development tools At Spyne, we empower careers not just fill positions. People-First Culture: Supportive team, open communication, and trust Career Acceleration: Fast growth with performance-based promotions and ownership opportunities Health & Insurance Benefits: Comprehensive GMC, GPA, GTLI coverage for employees and families Continuous Learning: Access to LinkedIn Learning, in-house mentorship, and AI research projects Work from Office Advantage: Real-time innovation, mentorship, and collaboration at our Gurugram HQ Competitive Salary + Equity: High-impact role with potential for stock options If you're excited to work on groundbreaking AI + 3D computer vision products, thrive in a startup environment, and want to shape the future of AI-powered automotive retail, we want to hear from you. Apply now and be part of Spyne s journey as we redefine how the world sees and sells cars! Qualification : B.Tech / M.Tech in Computer Science, Artificial Intelligence, or related field (Tier 1 or Tier 2 institute preferred)

Job Title: Product Designer II UI/UX Location: Gurugram, Haryana (Onsite, 5 days/week) Working Hours: 12 PM 9 PM IST Experience: 2 4 Years | Department: Product & Design Employment Type: Full-Time About Spyne At Spyne, we are transforming how cars are marketed and sold using the power of Generative AI. What began as a bold idea to automate automotive visuals has evolved into a full-stack AI-first automotive retail ecosystem. Backed by $16M in Series A funding from top investors like Vertex Ventures and Accel, we re rapidly expanding across US and EU markets with our industry-first AI products, including Studio AI and Retail AI. Over the past 15 months, we ve experienced 5X revenue growth, with ambitious plans to scale 3 4X more this year. Now, we re leading the next wave of GenAI innovation, building AI-powered tools for sourcing, pricing, 360 imaging, CRM, and Agentic AI for dealerships. About the Role: Product Designer (UI/UX) We re looking for a talented and passionate Product Designer II to join our dynamic Product & Design team. This role is perfect for someone who wants to blend design thinking with cutting-edge AI, AR, and VR technologies to create impactful, user-first experiences for our global automotive partners. You ll play a pivotal role in shaping intuitive digital products, owning the design process end-to-end, and influencing the future of automotive retail. What You ll Do Lead UI/UX Design: Design end-to-end user experiences with intuitive, accessible, and visually compelling interfaces. Build for Emerging Tech: Design for AI, AR, and VR integrations in products that push boundaries and redefine user engagement. Create & Iterate: Develop wireframes, user flows, high-fidelity prototypes, and final visual assets using tools like Figma. Collaborate Cross-Functionally: Work closely with Product Managers, Engineers, and Data Analysts to translate ideas into functional, user-centric solutions. Align Design with Business Goals: Ensure design strategy meets key product and user outcomes. Leverage Data for Design Decisions: Analyze user behavior, feedback, and market trends to iterate effectively. Contribute to Design Systems: Build, scale, and maintain reusable components and design guidelines. Stay Ahead of Trends: Continuously explore emerging tools, patterns, and technologies in design and AI. What You ll Bring Experience & Education Bachelor s degree in Design, Human-Computer Interaction, or a related field 2 4 years of hands-on UI/UX design experience, preferably in a B2B SaaS environment Technical Skills Proficiency in tools like Figma, Sketch, and Adobe Creative Suite Experience designing for AI or automation-driven products is a strong plus Knowledge of AR/VR design principles and ability to create user flows for immersive experiences Familiarity with component-based UI systems and responsive design Soft Skills Strong problem-solving and analytical mindset Excellent communication and collaboration skills across technical and non-technical teams Detail-oriented with a user-first approach to design Comfortable working in fast-paced, iterative, and agile teams At Spyne, we go beyond just offering a job we offer a chance to create real impact in a high-growth AI startup. What You ll Love: Performance-Driven Growth: High-impact role with rapid career progression Health & Life Insurance: Comprehensive GMC, GPA, and GTLI coverage Learning & Development: Access to LinkedIn Learning, mentorship, and AI-driven projects Office-First Culture: Collaborate, learn, and build alongside a high-energy team Diverse & Inclusive Environment: One of the best male-female ratios in AI tech Be Part of the Future of Automotive AI If you re passionate about designing next-gen digital experiences and want to be part of a fast-moving, innovation-driven team, we d love to hear from you. Apply now and help shape the visual future of automotive retail. Qualification : Bachelors degree in Design, Human-Computer Interaction, or a related field

Job Title: Product Manager (LLMs & AI) Location: Gurgaon, Haryana Experience: 3-7 years Department: Product Management Employment Type: Full-Time About Spyne At Spyne, we are redefining how cars are marketed and sold with cutting-edge Generative AI. What started as a bold idea using AI-powered visuals to help dealers sell online faster has grown into a full-fledged AI-first automotive retail ecosystem. Backed by $16M in Series A funding from Vertex Ventures, Accel, and other top investors, we are scaling rapidly: Expanded across US & EU markets. Launched industry-first AI-powered Image & 360 solutions. Achieved 5X revenue growth in 15 months, with a goal for 3-4X growth this year. We are now rolling out an end-to-end GenAI Automotive Retail Suite and expanding into the US market to bring our AI-driven products to 3,000-4,000 dealers. What We Are Looking For We are looking for an experienced Product Manager to lead the development of Large Language Model (LLM)-powered applications and AI agents. This role will focus on harnessing the power of LLMs (e.g., OpenAI s GPT, Claude, or similar models) to create advanced, context-aware conversational agents and automation systems. As a Product Manager (LLMs & AI), you will work on defining and delivering AI solutions that transform the user experience, streamline processes, and unlock new business opportunities for Automotive dealers and buyers. This is a critical role in shaping Spyne s product strategy, translating user needs into AI-driven solutions, and collaborating with cross-functional teams to deliver innovative, AI-powered products. Product Strategy & Vision: Define and execute the roadmap for LLM-powered applications and AI agents, aligning with market trends and user needs. AI Innovation: Explore cutting-edge applications like chatbots, decision-support systems, and automation tools. Research & Experimentation: Collaborate with engineers and data scientists to fine-tune and deploy LLMs for real-world use cases. AI Advancements: Stay updated on emerging capabilities like multi-turn dialogue, in-context learning, and fine-tuning techniques. AI Agent Development: Build context-aware AI agents that integrate seamlessly into user workflows. Automation Solutions: Develop AI-driven tools for automating tasks like email responses, scheduling, and data extraction. User Experience & Adoption: Convert user pain points into intuitive AI-driven solutions with explainable outputs. Seamless AI-Human Interaction: Ensure smooth AI adoption by refining user interfaces and interactions. Cross-Functional Collaboration: Work closely with Engineering, Data Science, and Design teams to prototype and scale LLM-based features. AI Market Positioning: Collaborate with Sales and Customer Success teams to position AI capabilities as a key differentiator. Performance Metrics: Define and track KPIs such as accuracy, response time, and user engagement. Continuous Optimization: Enhance AI model efficiency and user satisfaction through iterative improvements. What You Must Have 1 3 years of product management experience in AI, SaaS, or data-driven products. Proven experience building or scaling LLM-powered applications (e.g., GPT, Claude). Strong familiarity with fine-tuning, prompt engineering, context management, and model evaluation. Ability to communicate AI concepts to non-technical stakeholders. Hands-on experience with Figma, Jira, and LLM APIs (OpenAI, Anthropic, Hugging Face). Data-driven mindset with a strong grasp of AI product metrics. Thrive in fast-paced, ambiguous environments. Strong Culture: A supportive and collaborative work environment that encourages innovation. Transparency & Trust: High levels of autonomy and trust in decision-making. Competitive Salary & Equity: Stock options for top performers. Health Insurance: Comprehensive coverage for employees and their dependents, including GMC, GPA, and GTLI coverage. Dynamic Growth Environment: Join a fast-paced, high-growth setting that will accelerate your professional development. Shape the Future of AI-Powered Automotive Retail If you're passionate about AI and want to play a key role in transforming the automotive retail experience, join Spyne and help us define the future of AI-powered automotive retail!

Job Title: Android Developer Location: Gurugram, Haryana (Work from Office, 5 days a week) Role: Full-Time Experience: 3-5 years About Spyne At Spyne, we are redefining how cars are marketed and sold using Generative AI. What began as an AI-powered visual merchandising platform has evolved into a comprehensive AI-first automotive retail ecosystem. With $16M in Series A funding from top investors like Vertex Ventures and Accel, we ve achieved: Expansion across the US and EU markets. Launch of industry-first AI-powered Image & 360 solutions. 5X revenue growth in just 15 months, with a goal of 3-4X more this year. As we continue expanding, we are pioneering the GenAI revolution in automotive retail with AI-driven solutions in sourcing, pricing, CRM, and Agentic AI for dealerships. What We Are Looking For We are looking for a talented Android Developer to join our Technology Team and help us build high-performance mobile applications. This role offers you the opportunity to develop Android applications that provide seamless and cutting-edge user experiences. If you have a passion for mobile development and thrive in an innovation-driven, fast-paced environment, we d love to have you on board! Develop & Maintain Android Applications: Build, optimize, and maintain high-performance mobile applications that enhance user experience. Ensure Seamless UI/UX Integration: Collaborate with designers and product teams to create pixel-perfect user interfaces. Work on Android OS Fundamentals: Implement features using modern Android development design patterns. Develop & Host SDKs: Experience in developing SDKs, hosting SDKs, and integrating third-party SDKs. Optimize for Performance & Scalability: Write clean, maintainable code, and conduct peer code reviews. Utilize Android Hardware Features: Work with Camera APIs, Wi-Fi Manager, Media Player frameworks, and more. Implement Modular Architecture: Use clean architecture with MVVM and dependency injection frameworks like Dagger and Dagger-Hilt. Ensure Test-Driven Development (TDD): Write unit tests and ensure code quality across Android applications. Stay Updated with Android Ecosystem: Continuously learn and apply new updates from the Android ecosystem to enhance app performance and features. Manage App Releases: Follow Android guidelines to publish applications on the Google Play Store. What You Must Have Education & Experience: BTech/BS/MS in Computer Science, Engineering, or related fields. 3-5 years of experience in Android application development. Technical Expertise: Strong proficiency in Java, Kotlin, and Retrofit. Expertise in Jetpack Compose and Android architecture components. Experience with dependency injection frameworks like Dagger and Dagger-Hilt. Familiarity with Clean Architecture using MVVM. Hands-on experience with SDK development and hosting. Experience with integrating third-party SDKs. Ability to develop scalable and modular applications. Problem-Solving & Collaboration: Strong debugging skills and ability to troubleshoot and optimize applications. Ability to work independently and solve complex technical challenges. Excellent communication and collaboration skills work seamlessly with cross-functional teams. Work Setup & Mindset: Comfortable working in a high-performance, in-office environment. Proactive with a strong sense of ownership and problem-solving skills. Proficiency in Agile methodologies and tools like Jira, Notion, and Asana. Comprehensive Health & Life Coverage: We care about your well-being! Enjoy GMC, GPA, and GTLI coverage for you and your family. Performance-Driven Growth: Your hard work matters! We offer a high-impact, innovation-first culture that ensures fast career progression and the chance to take ownership from day one. Elevate Learning & Development: Stay ahead with our Elevate Program, which offers access to LinkedIn Learning, mentorship, and hands-on projects. Work from Office Advantage: Immerse yourself in an office-first culture that fosters collaboration, creativity, and growth. Strong Culture: A supportive and collaborative work environment. Transparency & Trust: High levels of autonomy in decision-making. Competitive Salary & Equity: Stock options for top performers. Dynamic Growth Environment: Join a fast-paced, high-growth company that challenges and accelerates your professional development. If you love solving complex technical challenges and thrive in a fast-paced, innovative environment, this role is for you! Join Spyne and help us transform the future of automotive retail with cutting-edge Android applications! Qualification : BTech/BS/MS in Computer Science, Engineering, or related fields.

Job Title: Customer Success Manager Location: Gurgaon, India Company: Builder.ai About Builder.ai At Builder.ai, we re on a mission to make software development accessible to everyone regardless of their technical background, budget, or experience. We've already helped entrepreneurs, small businesses, and global brands like BBC, Makro, and Pepsi to build their software solutions. With over $450 million in funding and a global presence across EMEA, APAC, and the Americas, Builder.ai is poised to continue driving innovation at scale. Our dynamic, diverse team is united by a shared belief in the power of software to unlock human potential. We're excited to continue evolving our services and our team to help our customers and the world at large. About the Role We re looking for a Customer Success Manager (CSM) to join our growing team and play a critical role in ensuring customers are able to achieve their business goals using Builder Studio. As a CSM, you will help clients utilize our product effectively, ensuring the success and optimization of their applications post-launch. You will serve as the primary point of contact for our customers, helping them navigate challenges, achieve long-term success, and foster loyalty. You ll be key to the customer experience, proactively identifying opportunities for growth, and providing exceptional support. Why You Should Join Builder.ai Innovative Impact: Work with a cutting-edge product helping businesses build customizable applications with ease. Growth Opportunities: With the backing of over $450 million in funding, Builder.ai offers ample opportunities for career growth and development. Inclusive & Collaborative Culture: Be part of a diverse team that values individual perspectives and believes in working together to drive success. Perks: We offer a variety of benefits such as stock options, discretionary pay, hybrid working, private medical insurance, and more. Key Responsibilities Customer Relationship Management: Build strong, long-lasting relationships with clients by offering ongoing support, conducting regular reviews, and driving customer success. Collaboration: Work closely with the sales, delivery, technical support, and product teams to ensure optimal outcomes for customers. Proactive Support: Address customer queries, resolve issues, and identify opportunities to ensure the consistent performance of their applications. Success Planning: Develop long-term success plans tailored to each customer s needs, ensuring their application grows alongside their business. Cross-sell & Upsell: Identify and capitalize on opportunities to cross-sell or upsell relevant products and services from the Builder.ai ecosystem. Customer Renewal: Ensure that customers renew their Builder Studio subscriptions, maintaining high customer retention. Customer Advocacy: Collaborate with marketing to identify potential customer advocates who can share their success stories and serve as references. Process Improvement: Help improve customer success processes, leveraging data and customer feedback to implement actionable insights. Requirements Experience: 5+ years in a Customer Success Manager or similar customer-facing role, preferably in SaaS or AI products. Customer Engagement: Experience managing a high volume of customers and working with C-suite stakeholders. Communication Skills: Strong ability to communicate and build relationships, leading to increased customer satisfaction, reduced churn, and growth. Data-Driven: Ability to work with data to understand trends and create actionable plans to improve customer success. Cross-sell/Upsell: Proven experience in identifying opportunities for cross-selling or upselling within your customer portfolio. Organizational Skills: Ability to multitask and prioritize customer needs while maintaining attention to detail. Customer Empathy: Strong customer empathy, with the ability to understand their challenges and proactively resolve issues. Process Improvement: Experience contributing to an early-stage customer success team, driving process enhancements, and refining best practices. Benefits Compensation: Discretionary variable pay or commission scheme depending on your role. Equity: Stock options in a $450 million funded Series D scale-up. Leave: 24 days of annual leave + public holidays. Family Time: 2 Builder family days each year. Holiday Time: Time off between Christmas and New Year. Health: Fully funded Private Medical Insurance. Meals: Free lunch at our state-of-the-art working environment in Gurugram. Referral Bonus: Generous referral bonus scheme. Joining Builder.ai means becoming part of a fast-growing, globally distributed team working together to push the boundaries of software development. We re committed to creating opportunities for growth, learning, and success, and we invite you to be a part of that journey.

Senior Data Scientist | FinBox | Gurgaon Location: Gurgaon Experience: 6-8 Years About FinBox FinBox is a cutting-edge fintech company that is reshaping how financial services are provided to businesses and consumers. Since our launch in 2017, we ve developed some of the most innovative technologies in the financial services space, enabling lenders such as Banks, NBFCs, and large enterprises to create and launch credit products in just days. As a Series A-funded company, we are expanding globally with offices in India, Vietnam, Indonesia, and the Philippines. Our mission is to build the best-in-class infrastructure for lending products, helping financial services companies scale and launch credit programs that set new standards in the era of digital finance. We've helped our clients disburse billions of dollars in credit, covering a wide range of unsecured and secured products like personal loans, business loans, mortgages, and education loans. We ve made a significant impact, supporting over 100 companies and serving millions of customers every month. Why You Should Join FinBox: Innovative Environment: We foster a culture of creativity and experimentation, encouraging our team to push the boundaries of what s possible in fintech. Impactful Work: Your work will directly influence millions of lives by making credit more accessible to individuals and businesses. Growth Opportunities: As a Series A-funded startup, we offer numerous opportunities for professional development and career advancement. Collaborative Culture: Be part of a diverse, inclusive team of experts who are passionate about making a difference and supporting each other. Role Overview: As a Senior Data Scientist at FinBox, you will work at the intersection of data and business, helping to deliver impactful solutions in the lending space. You will be responsible for analyzing large datasets, extracting meaningful insights, and applying advanced data science techniques to improve products and drive business results. Key Responsibilities: Data Analysis & Insights Generation: Analyze big data to produce actionable insights that directly contribute to product improvements and business outcomes. Model Building & Experimentation: Develop and deploy algorithms to extract useful information from large datasets. Use statistical analysis and machine learning techniques to create predictive models. Data Visualization & Reporting: Create interactive dashboards and visualizations to help monitor key metrics and inform stakeholders. Automate report generation using data visualization tools. Collaborate with Teams: Work closely with business teams to translate customer requirements into problem definitions and develop algorithmic solutions to address business challenges. Data Processing & Pre-processing: Gather, clean, and preprocess relevant data for insight generation and model building. Present Complex Results: Distill complex analysis into simple, clear visualizations and explanations for stakeholders at all levels. Apply Data Science Techniques: Use techniques such as exploratory data analysis (EDA), regression analysis, decision trees, clustering, survival analysis, and more. Continuous Improvement: Apply iterative analytics to steer the continuous improvement of products and algorithms. Who You Are: Analytical Thinker: You have strong analytical skills and a passion for deriving actionable insights from complex data. Technical Proficiency: Proficient in Python, R, SQL, and Excel. Familiarity with AWS and Git is highly preferred. Data Science Knowledge: Solid understanding of statistical concepts, machine learning models, and algorithms. Knowledge of data science tools and techniques for large-scale data analysis. Data Visualization Expert: You can create clear and impactful visualizations to communicate findings effectively. Problem Solver: You thrive on tackling ambiguous problems and developing innovative solutions that directly impact the business. Collaborative: You enjoy working in a team environment and are able to translate technical concepts into business-friendly language for diverse audiences. Desired Qualifications: 6-8 years of experience in data science with a focus on machine learning and statistical modeling. Expertise in Python, R, SQL, and Excel for data analysis and visualization. Experience with AWS, Git, and other cloud-based technologies. Solid understanding of statistical concepts, machine learning algorithms, and model deployment. Experience with data visualization tools and creating dashboards. Ability to effectively communicate complex results to non-technical stakeholders. Innovative Culture: At FinBox, we love disruption and creativity. Here, you can take ownership and contribute ideas that directly impact our product and the industry. Global Impact: Work on high-impact projects with global customers, improving access to credit for millions. Career Growth: FinBox offers a fast-paced, dynamic environment where you can rapidly grow your career. Collaboration & Diversity: Join a team of talented, passionate people who value collaboration and diverse perspectives. If you re ready to make a real difference in fintech and enjoy solving complex problems with data science, apply now to be part of the FinBox team!

Principal Data Scientist | FinBox | Gurgaon Location: Gurgaon Experience: 8-11 Years About FinBox FinBox is at the forefront of transforming the financial services industry with our innovative technologies. Since our inception in 2017, we have empowered lenders, such as Banks, NBFCs, and large enterprises, to build and launch credit products quickly within days rather than months or years. As a Series A funded company, we re expanding globally with offices in India, Vietnam, Indonesia, and the Philippines. Our mission is to build world-class infrastructure for lending products, helping financial services companies scale and launch credit programs that set a new standard in digital finance. We've already helped our customers disburse billions of dollars in credit across unsecured and secured credit, including personal loans, working capital loans, business loans, mortgages, and education loans, impacting over 5 million customers every month. Why You Should Join FinBox: Innovative Environment: We cultivate creativity and experimentation. We want you to challenge the status quo and push boundaries in fintech. Impactful Work: Your contributions will have a direct, positive impact on millions of lives, making credit more accessible to individuals and businesses globally. Growth Opportunities: As a Series A-funded startup, FinBox provides tremendous opportunities for career development and professional growth. Collaborative Culture: Join a diverse, inclusive, and highly skilled team, all passionate about making a meaningful difference in the fintech world. Role Overview: As a Principal Data Scientist at FinBox, you will play a critical role in driving data science initiatives and shaping the direction of data-driven decision-making. You will leverage your deep expertise in machine learning and statistics to design and deploy predictive models, optimize algorithms, and lead experimentation processes that directly impact our products and business strategies. You will work closely with cross-functional teams to translate business requirements into data-driven solutions and collaborate on deploying models at scale. Key Responsibilities: Data Analytics & Insights: Analyze large, complex datasets to generate insights that drive business growth and measure the impact of business decisions. Model Development & Experimentation: Design, build, and deploy predictive models, using machine learning techniques such as regression, clustering, decision trees, and survival analysis. Algorithm Development: Optimize algorithms to process data efficiently, supporting better decision-making across the business. A/B Testing & Experimentation: Lead A/B testing and other experimentation methodologies to refine products and optimize business strategies. Data Visualization & Reporting: Create automated dashboards and reports using visualization tools like Tableau or Power BI to clearly communicate insights to stakeholders. End-to-End Data Processing: Manage the full lifecycle of data processing from gathering and cleaning data to creating models and deploying them in production. Stakeholder Collaboration: Collaborate with product, engineering, and business teams to translate business needs into data-driven solutions. Model Deployment: Ensure that machine learning models are effectively deployed at scale and optimized for real-time business applications. Who You Are: Experience: 8+ years of experience in data science, with a proven track record in the finance or fintech industry. Technical Expertise: Strong proficiency in Python, R, SQL, and Excel for data analysis, model development, and automation. Cloud & Version Control: Proficiency in AWS for cloud-based deployment and Git for version control. Advanced Data Science Skills: Expertise in statistical methods and machine learning techniques including regression, clustering, decision trees, bootstrapping, and survival analysis. Data Visualization: Extensive experience with data visualization tools like Tableau, Power BI, or open-source libraries (e.g., Matplotlib, Seaborn). Problem Solving & Communication: Strong problem-solving skills with the ability to distill complex models into actionable insights for business stakeholders. Deployment Experience: Experience in deploying and maintaining machine learning models at scale, focusing on automation, real-time analytics, and continuous improvement. Innovative Culture: Join a team that is dedicated to pushing the boundaries of what is possible in fintech, with an environment that fosters creativity and experimentation. Global Impact: Your work will directly influence the future of financial services, helping millions of customers access fair and accessible credit. Career Growth: As a growing startup, FinBox offers substantial opportunities for personal and professional growth. Collaborative Team: Work with a team of talented, driven professionals who believe in collaboration, inclusivity, and shared success.

Job Title: Associate Data Scientist - Social Media Analytics About this Role: Join Gartner s Social Media Analytics team, where you will help generate actionable insights from social media and internal/external Gartner data. This role is perfect for someone passionate about learning new technologies, text analytics, and working with unstructured data. As an Associate Data Scientist, you'll analyze data, draw recommendations, and visualize insights for research, using NLP, Machine Learning, and Deep Learning techniques. You will work closely with stakeholders to optimize data mining and improve the accuracy of insights generated. What You ll Do: Execute High-Impact Data Science Projects: Translate research objectives into actionable data and facts using social media and Gartner's internal/external data. Ad-hoc Modeling and Analytical Insights: Provide modeling and analytical insights to inform strategic and operational initiatives. Analyze Unstructured Data: Use advanced data science techniques to analyze unstructured text data, identifying insights and patterns. Interpret and Apply Findings: Align findings with business objectives and translate them into actionable business insights. Solve Business Challenges: Leverage Data Science, ML, and NLP to address pressing business challenges. Stakeholder Interaction: Collaborate with internal and external stakeholders to refine and improve findings. Data Science Driven Initiatives: Drive initiatives with some guidance while building strong domain expertise. Multi-tasking & Agility: Handle different projects in a fast-paced environment with strict SLAs and tight turnaround times. What You ll Need: Education: A fresher with a Master's in Engineering, Computer Science, Computer Applications, Statistics, Mathematics, Applied Mathematics, or Data Science. Alternatively, a B.E./B.Tech + Masters in Advanced Analytics or Data Science. Experience: 1-3 years of hands-on AI/ML experience, especially in Text Mining, NLP, and text analytics. Technical Skills: Expertise in Python (Pandas, Numpy, scikit-learn), SQL, TensorFlow, and other data science tools. Familiarity with AWS/Azure environments for training, testing, or deploying models. Machine Learning & NLP Knowledge: Ability to train, fine-tune, or apply ML, Deep Learning, LLMs, and NLP models. In-depth knowledge of NLP concepts and application experience. Data Preparation Skills: Expertise in data cleaning, normalization, and preparation for model training or inference. Analytical Mindset: Strong ability to identify patterns in unstructured datasets and provide actionable insights. Communication Skills: Strong written and verbal communication with the ability to structure clear, concise, and meaningful communication. Critical Thinking & Problem-Solving: Strong analytical skills and the ability to think independently to solve complex problems. Eagerness to Learn: A passion for learning about new technologies in the IT industry, Data Science, and Machine Learning. Research Techniques Understanding: Robust understanding of primary and secondary research methods. What We Offer: Flexible Hybrid Work Environment: Flexibility to work virtually when productive and meet colleagues in person for engaging, purposeful collaboration. Professional Growth: Gartner offers world-class benefits, competitive compensation, and tremendous rewards for top performers. Inclusive Work Culture: Diverse teams from various backgrounds and an environment that values collaboration and team success. Recognition as a Top Workplace: Gartner is consistently recognized as a great place to work worldwide. Join Gartner and contribute to world-class insights while developing cutting-edge technologies in the data science domain. We offer opportunities to grow, thrive, and make an impact! Qualification : A fresher with a Master's in Engineering, Computer Science, Computer Applications, Statistics, Mathematics, Applied Mathematics, or Data Science. Alternatively, a B.E./B.Tech + Masters in Advanced Analytics or Data Science.

Job Description: We are seeking a Data Engineer experience in data and analytics, proficient in big data technologies, data architecture, and customer-focused solutions. The ideal candidate will design and implement data pipelines, data lakes, and visualization solutions to create business value. Software Requirements: AWS Redshift Kubernetes Spark Python SQL DBT Dataiku Overall Responsibilities: Design and implement data pipelines, data lakes, and visualization solutions to create business value. Develop and maintain big data solutions using technologies like AWS Redshift, Kubernetes, Spark, Python, SQL, DBT, and Dataiku. Apply best practices in data architecture, modeling, and metadata management. Analyze and troubleshoot complex data issues, ensuring timely resolution. Collaborate with stakeholders to understand data requirements and deliver customer-focused solutions. Category-wise Technical Skills: Big Data Technologies: Proficiency in AWS Redshift, Kubernetes, Spark, Python, complex SQL, DBT, and Dataiku. Data Architecture & Modeling: Strong understanding of data architecture, modeling, and metadata management. Experience in designing and managing data pipelines and data lakes. Data Analysis & Troubleshooting: Excellent data analytical and troubleshooting skills. Ability to analyze and resolve complex data issues in a timely manner. Experience: 6-8 years of experience in data and analytics. Proven track record of developing and maintaining big data solutions. Day-to-Day Activity: Design, develop, and implement data pipelines and data lakes. Maintain and optimize big data solutions using various technologies. Apply best practices in data architecture and modeling. Analyze and troubleshoot data issues to ensure data integrity and availability. Collaborate with stakeholders to gather requirements and deliver data solutions. Stay updated with emerging trends in data and analytics. Qualifications: Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field. Relevant certifications in big data technologies and data engineering are a plus. Soft Skills: Strong analytical and problem-solving skills. Excellent communication and collaboration skills. Customer-focused approach with the ability to understand and meet stakeholder needs. Attention to detail and strong organizational skills. Ability to work independently and as part of a team. S YNECHRON S DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative Same Difference is committed to fostering an inclusive culture promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. Qualification : Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.

About Shiprocket: At Shiprocket, our mission is to simplify, democratize, and enhance the e-commerce experience. We empower e-commerce sellers by providing AI-driven technology and reliable services that cover everything from conversion and order fulfillment to shipping, communication, and returns management. Our platform integrates data, workflows, and supply chains at scale, offering sellers the tools they need to deliver exceptional customer experiences. We are driven by a set of values that shape our culture and success. We believe in innovation under constraints, reacting swiftly with purpose, and maintaining a frugal mindset that leads to growth. At Shiprocket, honesty is key, and we thrive on direct communication. We re not a family we re a sports team, united in our pursuit of success. Above all, we obsess over our customers. Role Overview: We are looking for a motivated and data-driven Customer Lifecycle Marketing (CLM) Lead to join our growing team. In this role, you ll be responsible for developing and executing a comprehensive customer lifecycle marketing strategy that maximizes customer lifetime value and drives sustainable growth. By leveraging data insights, you will optimize customer journeys, create personalized experiences, and foster lasting customer relationships. Key Responsibilities: Strategize & Execute: Develop and implement a comprehensive customer lifecycle marketing strategy across multiple channels (email, push notifications, in-app messages, SMS, social media). Automate & Optimize: Design, build, and optimize automated customer journeys through marketing automation platforms to engage customers at key touchpoints. Personalization: Personalize experiences for customers based on their behavior, preferences, and purchase history to drive deeper engagement. Experimentation: Conduct A/B testing and other experiments to refine campaigns, improve performance, and identify new opportunities for optimization. Data Analysis: Analyze customer data to identify valuable segments, predict churn risks, and uncover opportunities for cross-sell and upsell initiatives. Performance Tracking: Monitor key metrics such as customer lifetime value (CLV), churn rate, and customer acquisition cost (CAC), and report on the success of campaigns. Collaboration: Work closely with cross-functional teams (product, engineering, customer success) to ensure a seamless and optimized customer experience. Stay Updated: Keep abreast of emerging trends in customer lifecycle marketing and new technologies to continually improve strategies and tactics. Preferred Skills & Qualifications: Experience: 2+ years of experience in customer lifecycle marketing, with at least 4 years of experience in growth or broader marketing roles. Customer Journey Expertise: Strong understanding of customer journey mapping and user experience best practices. Marketing Automation: Experience using marketing automation platforms to execute and optimize campaigns. Analytical Skills: Strong problem-solving and analytical skills, with the ability to derive actionable insights from data. Communication Skills: Excellent written and verbal communication skills, with the ability to collaborate and present effectively. Growth Mindset: Passion for learning, adapting, and continuously improving in a fast-paced environment. Educational Background: Bachelor s degree in Marketing, Business, or a related field. Bonus Points: AI & Personalization: Experience with AI-powered personalization and recommendation engines. Startup Experience: Familiarity with working in a fast-paced, high-growth startup environment. Qualification : Bachelors degree in Marketing, Business, or a related field.

We are seeking a skilled and driven Senior Data DevOps Engineer with strong MLOps expertise to join our team. The ideal candidate will have a deep understanding of data engineering, automation in data pipelines, and operationalizing machine learning models. The role requires a collaborative professional capable of designing, deploying, and managing scalable data and ML pipelines that align with business goals. Responsibilities Develop, deploy, and manage CI/CD pipelines for data integration and machine learning model deployment Implement and maintain infrastructure for data processing and model training using cloud-based tools and services Automate data validation, transformation, and workflow orchestration processes Collaborate with data scientists, software engineers, and product teams to ensure seamless integration of ML models into production Optimize model serving and monitoring to enhance performance and reliability Maintain data versioning, lineage tracking, and reproducibility of ML experiments Proactively identify opportunities to improve deployment processes, scalability, and infrastructure resilience Ensure robust security measures are in place to protect data integrity and compliance with regulations Troubleshoot and resolve issues across the data and ML pipeline lifecycle Requirements Bachelor s or Master s degree in Computer Science, Data Engineering, or a related field 4+ years of experience in Data DevOps, MLOps, or related roles Strong proficiency in cloud platforms such as Azure, AWS, or GCP Experience with Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or Ansible Expertise in containerization and orchestration technologies (e.g., Docker, Kubernetes) Hands-on experience with data processing frameworks (e.g., Apache Spark, Databricks) Proficiency in programming languages such as Python, with knowledge of data manipulation and ML libraries (e.g., Pandas, TensorFlow, PyTorch) Familiarity with CI/CD tools (e.g., Jenkins, GitLab CI/CD, GitHub Actions) Experience with version control tools (e.g., Git) and MLOps platforms (e.g., MLflow, Kubeflow) Strong understanding of monitoring, logging, and alerting systems (e.g., Prometheus, Grafana) Excellent problem-solving skills and the ability to work independently and as part of a team Strong communication and documentation skills Nice to have Experience with DataOps concepts and tools (e.g., Airflow, dbt) Knowledge of data governance and tools like Collibra Familiarity with Big Data technologies (e.g., Hadoop, Hive) Certifications in cloud platforms or data engineering We offer Opportunity to work on technical challenges that may impact across geographies Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications Opportunity to share your ideas on international platforms Sponsored Tech Talks & Hackathons Unlimited access to LinkedIn learning solutions Possibility to relocate to any EPAM office for short and long-term projects Focused individual development Benefit package: Health benefits Retirement benefits Paid time off Flexible benefits Forums to explore beyond work passion (CSR, photography, painting, sports, etc.) Qualification : Bachelors or Masters degree in Computer Science, Data Engineering, or a related field

Company Overview: American Express is committed to providing the world s best customer experience every day. The Global Servicing Group (GSG) is central to fulfilling this mission, with over 36,000 team members working across various lines of business, including Customer Engagement, Merchant Services, Credit & Fraud. Within this structure, the Global Capacity & Contact Management (GCCM) team works towards optimizing resources and maintaining consistent customer service levels globally. Role Overview: The Planning & Data Intelligence (PDI) team within GCCM plays a pivotal role in supporting global reporting and analytics. This role involves automating, standardizing, and enhancing the reporting ecosystem to enable better decision-making through data-driven insights. The role will also involve creating a more efficient process for managing large and multiple data sets and collaborating with business partners to drive the future of reporting within the organization. Key Responsibilities: Define Data Architecture Strategy: Contribute to the development of the data architecture strategy and roadmap to enhance the PDI data ecosystem. Automation & Standardization: Analyze the current reporting structure within GCCM and work towards automating and scaling it through self-service functionalities, especially using Tableau. Reporting Innovation: Collaborate with internal partners to create new reporting dashboards within Tableau and other platforms, ensuring better self-service and efficiency. Analytics & Problem-Solving: Leverage your strong analytical skills to solve both practical and theoretical business challenges, applying machine learning, data mining, and statistical analysis techniques. KPIs & Performance Metrics: Develop and manage key performance indicators (KPIs) to promote efficiency, drive awareness, and improve reporting systems across teams. Reporting to Leadership: Provide on-demand reporting and insights to senior leadership, helping them make informed decisions. Dashboard Development & Adoption: Coordinate the development and testing of new dashboards, ensuring data validation and documentation. Assist in training teams to adopt these tools effectively. Innovation & External Research: Continuously seek new ideas and innovations from external sources to bring best practices into the team s work. Required Qualifications: Educational Background: Bachelor's degree or equivalent combination of education and work experience. Technical Expertise: Expert knowledge in VBA, SQL, Cornerstone, Hive, and Python. Familiarity with workforce management KPIs and Tableau for report building is a plus. Data Analysis & Manipulation: Experience using SAS, Big Data analytics, and statistical software for data analysis and manipulation. Problem-Solving & Analytical Skills: Strong ability to perform deep dive analyses of business metrics, providing actionable solutions and recommendations. Call Center Management Expertise: In-depth understanding of call center principles and how they impact operations. Adaptability & Communication: Ability to work in a fast-paced environment with changing demands, managing multiple tasks effectively. Exceptional written and verbal communication skills in English. Collaboration Skills: Strong interpersonal skills to collaborate and influence across different organizational levels and teams. Benefits & Perks: Competitive Compensation: Base salary with bonus incentives. Health & Wellness Support: Comprehensive medical, dental, vision, life insurance, and disability benefits (dependent on location). Flexible Working Arrangements: Hybrid, onsite, or virtual options depending on role and business needs. Paid Parental Leave: Generous paid parental leave policies (dependent on location). Wellness & Support Programs: Access to global wellness centers and confidential counseling support through the Healthy Minds program. Career Growth Opportunities: Continuous career development and training opportunities. Equal Opportunity Employer: American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Qualification : Bachelor's degree or equivalent combination of education and work experience.

Department Overview: The Sales and Business Enablement (SABE) team provides sales performance reporting and business enablement support. The Internal Governance team within SABE identifies, measures, assesses, reports, monitors, and controls operational risk exposures while ensuring compliance with regulatory and legal requirements. This position focuses on championing operational risk behaviors and actions across SABE processes and the overall implementation and governance of the risk framework. Role Overview: As an Operational Risk Analyst, you will support the development and implementation of the operational risk framework for SABE, ensuring effective risk management within processes. You will collaborate with multiple teams, perform independent testing, manage risk events, and drive continuous improvements in the risk management process. Key Responsibilities: Risk Framework Development: Support the development of an operational risk framework to ensure effective risk management within SABE processes. Communication & Training: Facilitate the understanding and use of the risk governance framework through regular communication across SABE processes. Collaboration with Governance Groups: Engage with SABE functional teams, GSG Control Management, and other governance groups (e.g., SoX office, GRC) to design and implement robust controls. Independent Testing: Conduct independent testing to monitor the effectiveness of risk controls. Audit Support: Support SABE functional teams in internal and external audits. Proactive Risk Identification: Identify high-risk areas and help implement proactive interventions. ORE Management: Manage operational risk events end-to-end, develop robust action plans to mitigate risks, and ensure timely closure. PRSA Management: Oversee the PRSA refresh exercise, adhering to internal policies and guidance. Required Qualifications: Experience: 5+ years of experience in financial services, particularly in operations, operational risk management, or audits. Education: Bachelor s degree in Business, Finance, Risk Management, or a related field. Risk Management Knowledge: Understanding of the operational risk management lifecycle and experience with tools such as Archer. Skills: Strong project management, communication, and collaboration skills. Ability to adapt quickly to changing priorities and handle multiple tasks. Interpersonal Skills: Ability to influence outcomes and build strong relationships with colleagues and partners. Self-motivation: A strong team player with the ability to manage multiple workstreams independently. Leadership Outcomes: Enterprise Thinking: Align the role s agenda with enterprise priorities, balancing the needs of customers, partners, colleagues, and shareholders. Innovation: Challenge the status quo and bring continuous innovation to the offerings. Decision Making: Demonstrate learning agility and make quick, high-integrity decisions. Customer Experience: Lead with a digital mindset to deliver the world s best customer experiences every day. Benefits & Perks: Competitive Compensation: Base salary with bonus incentives. Health & Wellness: Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location). Flexible Work Options: Hybrid, onsite, or virtual work arrangements based on role and business needs. Paid Parental Leave: Generous paid parental leave policies (depending on location). Wellness Support: Free access to global on-site wellness centers and confidential counseling support through the Healthy Minds program. Career Development: Opportunities for training and career growth. Equal Opportunity Employer: American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Qualification : Bachelors degree in Business, Finance, Risk Management, or a related field.