2540 Data Science Jobs - Page 11

Commitment: 10-20 hours/week for 1–2 months (with potential extension).. Compensation: Among the highest in the industry, aligned with experience and expertise.. Who should apply. We are not looking for general translators, freelancers, or content writers. We are looking for the top 1% of academic and cultural experts who meet all the following:. Native fluency in one or more of the following (reading and writing):. Bengali, Gujarati, Hindi, Kannada, Malayalam, Marathi, Odia, Tamil, Telugu, or Punjabi. Strong command of English (for prompt interpretation and evaluation). Deep academic or research expertise in History or Literature & Linguistics. PhD, MPhil, or Master’s degree is preferred, but credible, extensive experience in the field is also valued.. Passion for precision, language, and cultural nuance. Based in the respective state/region where the language is natively spoken. Comfortable using AI tools like ChatGPT, Claude, Gemini, etc.. Your Role? Challenge and Teach AI Models to Understand the Depth of Indian History and Literature in Your Language. Design advanced, historically and culturally rooted prompts in your regional language that challenge state-of-the-art AI models. Evaluate model outputs for factual accuracy, literary nuance, historical context, tone, and regional relevance. Identify blind spots and weaknesses in current AI understanding within your domain. Collaborate with an international team shaping how AI understands Indian languages, history, literature, and knowledge systems. This is not a translation or content-writing gig. We're seeking true experts to shape the next generation of language models.. Show more Show less

AEP Data Architect. 10+ years of strong experience with data transformation & ETL on large data sets. Experience with designing customer centric datasets (i.e., CRM, Call Center, Marketing, Offline, Point of Sale etc.). 5+ years of Data Modeling experience (i.e., Relational, Dimensional, Columnar, Big Data). 5+ years of complex SQL or NoSQL experience. Experience in advanced Data Warehouse concepts. Experience in industry ETL tools (i.e., Informatica, Unifi). Experience with Business Requirements definition and management, structured analysis, process design, use case documentation. Experience with Reporting Technologies (i.e., Tableau, PowerBI). Experience in professional software development. Demonstrate exceptional organizational skills and ability to multi-task simultaneous different customer projects. Strong verbal & written communication skills to interface with Sales team & lead customers to successful outcome. Must be self-managed, proactive and customer focused. Degree in Computer Science, Information Systems, Data Science, or related field. Key Responsibilities. 10+ years of strong experience with data transformation & ETL on large data sets. Experience with designing customer centric datasets (i.e., CRM, Call Center, Marketing, Offline, Point of Sale etc.). 5+ years of Data Modeling experience (i.e., Relational, Dimensional, Columnar, Big Data). 5+ years of complex SQL or NoSQL experience. Experience in advanced Data Warehouse concepts. Experience in industry ETL tools (i.e., Informatica, Unifi). Experience with Business Requirements definition and management, structured analysis, process design, use case documentation. Experience with Reporting Technologies (i.e., Tableau, PowerBI). Experience in professional software development. Demonstrate exceptional organizational skills and ability to multi-task simultaneous different customer projects. Strong verbal & written communication skills to interface with Sales team & lead customers to successful outcome. Must be self-managed, proactive and customer focused. Degree in Computer Science, Information Systems, Data Science, or related field. Requirements & Qualifications. 10+ years of strong experience with data transformation & ETL on large data sets. Experience with designing customer centric datasets (i.e., CRM, Call Center, Marketing, Offline, Point of Sale etc.). 5+ years of Data Modeling experience (i.e., Relational, Dimensional, Columnar, Big Data). 5+ years of complex SQL or NoSQL experience. Experience in advanced Data Warehouse concepts. Experience in industry ETL tools (i.e., Informatica, Unifi). Experience with Business Requirements definition and management, structured analysis, process design, use case documentation. Experience with Reporting Technologies (i.e., Tableau, PowerBI). Experience in professional software development. Demonstrate exceptional organizational skills and ability to multi-task simultaneous different customer projects. Strong verbal & written communication skills to interface with Sales team & lead customers to successful outcome. Must be self-managed, proactive and customer focused. Degree in Computer Science, Information Systems, Data Science, or related field. Show more Show less

About BeGig. BeGig is the leading tech freelancing marketplace. We empower innovative, early-stage, non-tech founders to bring their visions to life by connecting them with top-tier freelance talent. By joining BeGig, you’re not just taking on one role—you’re signing up for a platform that will continuously match you with high-impact opportunities tailored to your expertise.. Your Opportunity. Join our network as an AI Agent Workflow Engineer and help build smart, autonomous systems using LLMs and multi-agent frameworks. You'll design intelligent task automation flows powered by tools like LangChain, AutoGen, CrewAI, and integrate them with APIs, vector databases, and real-world data sources.. This is a unique opportunity to work at the forefront of autonomous AI, all while enjoying complete flexibility and remote work.. Role Overview. As an AI Agent Workflow Engineer, you will:. Design Multi-Agent Systems: Create intelligent agents capable of collaboration, tool usage, and task delegation.. Build Real-Time Workflows: Implement complex workflows where agents interact with users, APIs, and external data sources.. Integrate & Deploy: Deploy agent systems into real-world products across industries like SaaS, eCommerce, operations, and content.. What You’ll Do. Agentic System Development:. Build custom AI agents using frameworks like AutoGen, CrewAI, LangChain Agents, or similar tools.. Define agent roles, behaviors, goals, and memory strategies for specific use cases (research, operations, customer support, etc.).. Set up inter-agent communication, task routing, and tool execution pipelines.. Integration & Deployment:. Connect agent workflows with APIs, databases, or third-party services.. Use vector databases (Pinecone, Weaviate, Qdrant) for retrieval-augmented generation (RAG) and persistent memory.. Deploy applications via FastAPI, Flask, or serverless environments for scalable use.. Technical Requirements & Skills. Experience: 2+ years in AI/ML, backend development, or agent systems.. Languages: Strong in Python (required); knowledge of JS/TS is a plus.. Frameworks: Hands-on experience with AutoGen, LangChain Agents, CrewAI, LlamaIndex, or similar.. LLM APIs: Proficient with OpenAI, Anthropic, Gemini, and open-source LLMs.. Databases: Familiarity with vector databases like Pinecone, FAISS, Weaviate, or Qdrant.. Bonus: Understanding of prompt engineering, chaining logic, and autonomous agent design principles.. What We’re Looking For. An engineer who can translate business goals into autonomous agent workflows.. A systems thinker who understands orchestration, data flow, and real-time execution.. A self-motivated freelancer who thrives in fast-paced environments and cutting-edge tech.. Why Join Us?. Immediate Impact: Work on real-world AI agent use cases driving real outcomes.. Remote & Flexible: Choose your hours and engagements—hourly or project-based.. Future Opportunities: BeGig keeps you matched with the latest in agent automation and GenAI engineering.. Innovative Community: Join a forward-thinking network shaping the future of intelligent systems.. Ready to orchestrate the future with AI agents?. Apply now to become a key AI Agent Workflow Engineer for our client and a valued member of the BeGig network!. Show more Show less

Role & responsibilities This Business Analyst role is focused on candidates with hands-on experience in AI and Machine Learning projects. Experience in traditional BA roles alone may not align with the requirements. Collaborate with business stakeholders to gather and document requirements for OCR and AI-driven projects and initiatives. Work with developers and data scientists and developers to design OCR/ICR solutions and AI and machine learning solutions that align with business goals. Manage and oversee OCR/ICR and AI projects from conception to implementation, ensuring timely delivery and meeting project objectives. Communicate project progress and findings to stakeholders, including non-technical team members. Create comprehensive documentation of project requirements, processes, and outcomes. Conduct testing and validation of OCR/ICR and AI models to ensure accuracy and reliability. Preferred candidate profile Proven experience as a Business Analyst or similar role, preferably in OCR/ICR, AI or data-driven projects. Relevant certifications in AI, data analysis, or project management (CBAP, PMP, AI-related certifications)

Date 18 Jun 2025 Location: Bangalore, KA, IN Company Alstom At Alstom, we understand transport networks and what moves people. From high-speed trains, metros, monorails, and trams, to turnkey systems, services, infrastructure, signalling, and digital mobility, we offer our diverse customers the broadest portfolio in the industry. Every day, 80,000 colleagues lead the way to greener and smarter mobility worldwide, connecting cities as we reduce carbon and replace cars. Your future role Take on a new challenge and apply your product management and AI expertise in a cutting-edge field. Youll work alongside innovative, collaborative, and forward-thinking teammates. You'll shape the future of our data platform and AI product, driving its vision, strategy, and roadmap to align with business objectives. Day-to-day, youll work closely with teams across the business (engineering, data science, and customer success teams), act as the primary liaison between stakeholders, and ensure the successful delivery of transformative solutions. Youll specifically take care of defining product requirements and leading agile development processes, but also monitoring performance and integrating AI capabilities. Well look to you for: Developing and communicating a clear product vision and strategy for the data platform and AI product Aligning product strategy with business objectives and market opportunities Translating business requirements into detailed user stories and technical specifications Leading agile development processes and ensuring the team understands product goals Defining acceptance criteria and collaborating with QA teams to ensure quality Monitoring key performance indicators (KPIs) and optimizing product performance Driving AI capability integration into the data platform Preparing comprehensive documentation, including user manuals and training materials Organizing and continuously improving program development processes Coordinating technical interfaces and ensuring configuration consistency All about you We value passion and attitude over experience. Thats why we dont expect you to have every single skill. Instead, weve listed some that we think will help you succeed and grow in this role: Bachelor's or Master's degree in Computer Science, Engineering, Business, or a related field Extensive knowledge of data platforms and AI technologies Experience or understanding of agile methodologies and product management practices Strong analytical and problem-solving abilities using data-driven approaches A proven track record in leading complex products and delivering value Excellent communication and interpersonal skills to engage stakeholders effectively Proficiency in project management tools and software Familiarity with managing AI/ML projects and integrating AI capabilities Experience in stakeholder engagement and managing cross-functional teams Strong documentation skills to ensure accurate and comprehensive information capture Things youll enjoy Join us on a life-long transformative journey the rail industry is here to stay, so you can grow and develop new skills and experiences throughout your career. Youll also: Enjoy stability, challenges, and a long-term career free from boring daily routines Work with new security standards for rail signalling Collaborate with transverse teams and helpful colleagues Contribute to innovative projects Utilise our flexible and inclusive working environment Steer your career in whatever direction you choose across functions and countries Benefit from our investment in your development, through award-winning learning Progress towards leadership or specialized roles within product management Benefit from a fair and dynamic reward package that recognises your performance and potential, plus comprehensive and competitive social coverage (life, medical, pension) You dont need to be a train enthusiast to thrive with us. We guarantee that when you step onto one of our trains with your friends or family, youll be proud. If youre up for the challenge, wed love to hear from you! Important to note As a global business, were an equal-opportunity employer that celebrates diversity across the 63 countries we operate in. Were committed to creating an inclusive workplace for everyone.

Date 18 Jun 2025 Location: Bangalore, KA, IN Company Alstom At Alstom, we understand transport networks and what moves people. From high-speed trains, metros, monorails, and trams, to turnkey systems, services, infrastructure, signalling and digital mobility, we offer our diverse customers the broadest portfolio in the industry. Every day, 80,000 colleagues lead the way to greener and smarter mobility worldwide, connecting cities as we reduce carbon and replace cars. Your future role Take on a new challenge and apply your comprehensive DevOps expertise in a new cutting-edge field. Youll work alongside innovative, collaborative, and forward-thinking teammates. You'll own the entire DevOps lifecycle of our products, ensuring smooth code integration with CI/CD, optimizing release management processes, and automating and managing deployment environments. Day-to-day, youll work closely with teams across the business (IoT experts, data scientists, software engineers, and data architects), standardize software development release management processes, and much more. Youll specifically take care of creating a well-informed cloud strategy and managing the adaption process, but also provide technical support and guidance to our users. Well look to you for: Ensuring smooth code integration with CI/CD pipelines Optimizing release management and automating deployment environments Creating and managing a cloud strategy (Azure and on-premise) Standardizing the software development release management process Troubleshooting and providing technical support and guidance Writing and maintaining technical documentation Guiding users on best practices for container-based applications All about you We value passion and attitude over experience. Thats why we dont expect you to have every single skill. Instead, weve listed some that we think will help you succeed and grow in this role: A Bachelor's or Masters degree in computer science & information systems or related engineering A strong background in DevOps with hands-on configuration and deployment Knowledge of Ansible, Terraform, Python, and scripting (PowerShell/Python/Bash) Familiarity with containerization technologies such as Docker and Kubernetes (CKA certification is a plus) Experience with Azure cloud-based provisioning, deployment, and monitoring Understanding of platform security best practices Proficiency in source control/configuration management including Git, and GitLab; familiarity with Azure DevOps and Visual Studio Code is a plus Collaborative spirit with proven capabilities in working with international teams Experience in working with data engineering and data science teams is a plus Things youll enjoy Join us on a life-long transformative journey the rail industry is here to stay, so you can grow and develop new skills and experiences throughout your career. Youll also: Enjoy stability, challenges and a long-term career free from boring daily routines Work with new security standards for rail signalling Collaborate with transverse teams and helpful colleagues Contribute to innovative projects Utilise our agile and flexible working environment Steer your career in whatever direction you choose across functions and countries Benefit from our investment in your development, through award-winning learning Progress towards leadership and advanced technical roles Benefit from a fair and dynamic reward package that recognises your performance and potential, plus comprehensive and competitive social coverage (life, medical, pension) You dont need to be a train enthusiast to thrive with us. We guarantee that when you step onto one of our trains with your friends or family, youll be proud. If youre up for the challenge, wed love to hear from you!

Career Area: Technology, Digital and Data : Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you'rejoining a global team who cares not just about the work we do but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don'tjust talk about progress and innovation here we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. JOB PURPOSE: The Lead Management Product team is hiring! Will you embrace that challenge The Lead Management Product Teams mission is to deliver qualitative sales and marketing leads through our digital application to our internal customersIndustries and Dealers in order to drive services revenue through our digital product. JOB DUTIES: At the Interface of Business and Analytics, the Lead Management analyst is a key player to connect these two worlds together. The Lead Management analyst main mission is to leverage various datasets and develop/sustain services leads in partnership with sales and marketing teams. The individual will also participate in specific projects aiming at further strengthening the lead management digital product. Responsibilities will include: Gather and implement business requirements for leads development Analyze feedback information to improve leads quality Provide business recommendations to internal partners based on quantitative and qualitative data Improvement, enhancement and development of specific dataset based on opportunities Drive processes improvement and automation of lead generation application Coordination with Data & BI Team Users data support and training The Lead Management analyst demonstrates excellent communication skills, being able to explain lead management analytics to customers with limited data knowledge and experience and at the same being able to interact with Data Engineers on technical details. He or she is a fast learner and is able to find creative ways to transform data into sales & marketing recommendations. Additionally, he or she should also exhibit strong planning and organization skills. If you: Like working in a challenging yet rewarding analytical international environment Truly believe that data can be translated into valuable and monetized information Like helping internal customers beyond initial requirements Want to grow and acquire new skills Do not hesitate to apply! Basic : Master or bachelors degree in finance, Accounting, Data Science, Engineering, Business administration, Economics, Marketing, Law, other Advanced SQL Knowledge Business Knowledge in a specific area or dealer exposure Excellent analytical skillsability to interpret data to solve business issues & vulgarize results for a large and diverse audience Ability to manipulate data and create meaningful visualization Aftermarket services understanding Basic programming skills in any language, preferably Python Top Candidates Will Also Have: Alteryx, Tableau and any data visualization software Advanced programming skills in any language Product knowledge, Applications knowledge, dealer knowledge Project management Track record of getting things done Fast learner Ability to work independently and reach out in a timely and relevant manner Good communication & presentation skills Ability to influence other groups and teams Posting Dates: June 17, 2025 - June 24, 2025 Caterpillar is an Equal Opportunity Employer. Not ready to applyJoin our Talent Community.

Career Area: Technology, Digital and Data : Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you'rejoining a global team who cares not just about the work we do but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don'tjust talk about progress and innovation here we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. JOB PURPOSE: The Lead Management Product team is hiring! Will you embrace that challenge The Lead Management Product Teams mission is to deliver qualitative sales and marketing leads through our digital application to our internal customersIndustries and Dealers in order to drive services revenue through our digital product. JOB DUTIES: At the Interface of Business and Analytics, the Lead Management analyst is a key player to connect these two worlds together. The Lead Management analyst main mission is to leverage various datasets and develop/sustain services leads in partnership with sales and marketing teams. The individual will also participate in specific projects aiming at further strengthening the lead management digital product. Responsibilities will include: Gather and implement business requirements for leads development Analyze feedback information to improve leads quality Provide business recommendations to internal partners based on quantitative and qualitative data Improvement, enhancement and development of specific dataset based on opportunities Drive processes improvement and automation of lead generation application Coordination with Data & BI Team Users data support and training The Lead Management analyst demonstrates excellent communication skills, being able to explain lead management analytics to customers with limited data knowledge and experience and at the same being able to interact with Data Engineers on technical details. He or she is a fast learner and is able to find creative ways to transform data into sales & marketing recommendations. Additionally, he or she should also exhibit strong planning and organization skills. If you: Like working in a challenging yet rewarding analytical international environment Truly believe that data can be translated into valuable and monetized information Like helping internal customers beyond initial requirements Want to grow and acquire new skills Do not hesitate to apply! Basic : Master or bachelors degree in finance, Accounting, Data Science, Engineering, Business administration, Economics, Marketing, Law, other Advanced SQL Knowledge Business Knowledge in a specific area or dealer exposure Excellent analytical skillsability to interpret data to solve business issues & vulgarize results for a large and diverse audience Ability to manipulate data and create meaningful visualization Aftermarket services understanding Basic programming skills in any language, preferably Python Top Candidates Will Also Have: Alteryx, Tableau and any data visualization software Advanced programming skills in any language Product knowledge, Applications knowledge, dealer knowledge Project management Track record of getting things done Fast learner Ability to work independently and reach out in a timely and relevant manner Good communication & presentation skills Ability to influence other groups and teams Posting Dates: June 17, 2025 - June 24, 2025 Caterpillar is an Equal Opportunity Employer. Not ready to applyJoin our Talent Community.

Career Area: Technology, Digital and Data : Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you'rejoining a global team who cares not just about the work we do but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don'tjust talk about progress and innovation here we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. JOB PURPOSE: The Lead Management Product team is hiring! Will you embrace that challenge The Lead Management Product Teams mission is to deliver qualitative sales and marketing leads through our digital application to our internal customersIndustries and Dealers in order to drive services revenue through our digital product. JOB DUTIES: At the Interface of Business and Analytics, the Lead Management analyst is a key player to connect these two worlds together. The Lead Management analyst main mission is to leverage various datasets and develop/sustain services leads in partnership with sales and marketing teams. The individual will also participate in specific projects aiming at further strengthening the lead management digital product. Responsibilities will include: Gather and implement business requirements for leads development Analyze feedback information to improve leads quality Provide business recommendations to internal partners based on quantitative and qualitative data Improvement, enhancement and development of specific dataset based on opportunities Drive processes improvement and automation of lead generation application Coordination with Data & BI Team Users data support and training The Lead Management analyst demonstrates excellent communication skills, being able to explain lead management analytics to customers with limited data knowledge and experience and at the same being able to interact with Data Engineers on technical details. He or she is a fast learner and is able to find creative ways to transform data into sales & marketing recommendations. Additionally, he or she should also exhibit strong planning and organization skills. If you: Like working in a challenging yet rewarding analytical international environment Truly believe that data can be translated into valuable and monetized information Like helping internal customers beyond initial requirements Want to grow and acquire new skills Do not hesitate to apply! Basic : Master or bachelors degree in finance, Accounting, Data Science, Engineering, Business administration, Economics, Marketing, Law, other Advanced SQL Knowledge Business Knowledge in a specific area or dealer exposure Excellent analytical skillsability to interpret data to solve business issues & vulgarize results for a large and diverse audience Ability to manipulate data and create meaningful visualization Aftermarket services understanding Basic programming skills in any language, preferably Python Top Candidates Will Also Have: Alteryx, Tableau and any data visualization software Advanced programming skills in any language Product knowledge, Applications knowledge, dealer knowledge Project management Track record of getting things done Fast learner Ability to work independently and reach out in a timely and relevant manner Good communication & presentation skills Ability to influence other groups and teams Posting Dates: June 17, 2025 - June 24, 2025 Caterpillar is an Equal Opportunity Employer. Not ready to applyJoin our Talent Community.

Bachelor's or masters degree in computer science, AI/ML, Data Science, or related field. 5+ years of experience in AI/ML solution design and development. Proficiency in AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Strong programming skills in Python, R, or Java. Hands-on experience with cloud platforms (AWS, Azure, GCP). Solid understanding of data engineering concepts and tools (Spark, Hadoop, Kafka, etc.). Experience with MLOps practices, including CI/CD for AI models. Strong problem-solving, communication, and leadership skills. Preferred Qualifications AI/ML certifications (AWS Certified Machine Learning, Google Professional ML Engineer, etc.) Experience in natural language processing (NLP) or computer vision. Knowledge of AI governance and ethical AI practices. Familiarity with AI model explainability and bias detection.

Highly skilled and experienced Data Engineer with AI/ML expertise. This role is essential to maintain continuity and leadership for our AI-driven initiatives, particularly Vantage AI, which is currently gaining significant traction across business units. The candidate must possess strong technical knowledge in data engineering, orchestration, machine learning, and analytics, with the ability to independently drive the design, development, and deployment of data solutions. Key Responsibilities: Development and deployment of Vantage AI. AI/ML initiatives in Anchanto. Insight generation. Apply statistical methods and predictive modeling to solve real-world problems. Machine learning and AI developments. Develop Data engineering solutions and orchestration. Essential Requirements: 2+ years of experience in data engineering or data science roles Ability to build and deploy machine learning models Expertise in AWS cloud platforms and containerization Hands on in data scraping techniques. Strong knowledge of Python and associated ML/data science libraries (eg, scikit-learn, pandas, PySpark, Sagemaker) Expertise in ETL and data pipeline design. Personal Attributes: Strong problem-solving skills. Good communication Engineering degree. Ability to work independently.

Executive Director of BSI Data Analytics Platforms will lead the Data Analytics and Platforms (DAP) team within the Business Solutions International (BSI) organization. This role is responsible for driving the strategic vision, governance, and operational excellence of data analytics, AI, data science, marketing platforms, and performance analytics & reporting. The Head will ensure alignment with business goals, oversee the development and deployment of data solutions, and manage the scaling and operations of these platforms. Major Accountabilities: Operational Excellence : Oversee the day-to-day operations of data analytics platforms, ensuring smooth and efficient functioning. Ensure compliance with regulations and standards, managing risk and governance. Develop and manage the scaling of data solutions to meet growing user demands. Collaboration and Coordination : Work closely with the Enabler DAP team to create a mirror image of the Enabler DAP within BSI. Coordinate with the broader BSI team to define the scope of work, align on priorities, and gather necessary inputs. Collaborate with designers, developers, and other stakeholders to ensure the solution meets user needs and business requirements. Collaborate closely with the DAP Strategy pillar to co-develop the strategic direction, while actively partnering with I-R-C. Analytics and Reporting : Monitor and analyse product performance, user behaviour, and adoption to inform future decisions. Oversee comprehensive testing activities, including user acceptance testing and performance testing. Manage the deployment process, ensuring smooth releases and coordinating with relevant teams for post-deployment support. Innovation and Improvement : Drive continuous improvement and innovation in data analytics and platforms. Develop strategies to drive user adoption and engagement. Ensure solutions excellence at scale and drive international operations to enable cost-efficient and adaptable commercialization support. Functional Skills and Knowledge: Business Analytics: - Strong analytical skills to interpret complex data and generate insights. - Proficiency in data analytics tools and platforms. - Incorporate competitive insights into the analytics Data Strategy: - Defining the vision and strategy for data analytics and platforms. - Ensuring alignment with business objectives and integrating data strategy into broader business strategies. AI & Data Science: - Knowledge of AI and data science principles and their application in business. - Leading the development and deployment of AI and data science solutions. Marketing Platforms: - Understanding of marketing platforms and their role in customer engagement. - Managing the operations and scaling of marketing platforms. - Experience with CRM platforms like Salesforce, Veeva, HubSpot etc Performance Analytics & Reporting: - Expertise in performance analytics to track and report on key metrics. - Developing comprehensive testing activities, including user acceptance testing and performance testing. Qualifications: Education: Advanced degree in Data Science, Computer Science, Business Administration, or a related field. Experience: Extensive experience in data analytics, AI, data science, and platform management. Proven track record of leading and managing large-scale data analytics projects. Experience in working with and leading cross-functional teams. Strong understanding of governance, compliance, and risk management in data analytics.

This role provides an exciting opportunity to be at the forefront of AI innovation, contributing to the development and implementation of solutions that push the boundaries of technology. If you are passionate about AI, thrive in a collaborative environment, and enjoy driving impactful projects, this position offers a platform for creativity and professional growth. Join us in shaping the future of AI applications Responsibilities: Cross-Functional Collaboration: Collaborate seamlessly with Engineering, Product, and Operations teams to conceptualize, design, and construct AI systems for diverse applications, including Email Suites, Conversational chatbots, and various NLP and ML use cases. Innovative Model Development: Lead the development of inventive strategies and models, ensuring practical operationalization of AI solutions in alignment with organizational goals. Ideation and Analysis: Generate ideas for exploratory analysis, actively shaping the trajectory of future projects. Provide insightful recommendations for strategic actions based on data-driven insights. Rapid Prototyping and Product Discussions: Drive the rapid prototyping of solutions, actively participating in discussions related to product and feature development. Dashboard Creation and Reporting: Develop dashboards and comprehensive documentation to effectively communicate results. Regularly monitor key data metrics, facilitating informed decision-making. Integration with Production Systems: Collaborate closely with software engineers to deploy and integrate data models into production systems. Ensure scalability, reliability, and efficiency of integrated solutions. Business Metrics Identification: Identify and analyze key business metrics, offering strategic insights. Recommend product features based on the identified metrics to enhance overall product functionality. Skills Exceptional quantitative and problem-solving skills - capable of tackling complex data-driven challenges and formulating effective solutions. Solid understanding of natural language processing (NLP) - Fundamentals, including techniques such as named entity recognition (NER), topic modeling, and sentiment analysis. Proven proficiency - In essential data science libraries, including Pandas, Numpy, SciPy, and Scikit-Learn, for data manipulation, analysis, and modeling. In-depth expertise in Python programming - Focus on data analysis, model building, and algorithmic implementation. Experience with distributed computing frameworks - Hadoop or Spark, for handling large-scale data processing and machine learning tasks. Comprehensive understanding - Supervised and unsupervised machine learning techniques, including decision trees, random forests, boosting algorithms, and clustering methods. Experience and Qualifications Masters or Bachelors degree in Machine Learning/Data Science, Applied Statistics, Mathematics, or Engineering Minimum 8+ years of relevant experience with a proven track record of developing ML solutions.

It's a chance to apply your expertise to distil complex problems into compelling insights using the best of machine learning and human creativity to deliver effective and impactful solutions for clients. Joining our advanced data science team, you'll investigate, develop, implement and deploy a range of complex applications and components while working alongside super-smart colleagues challenging and rewriting the rules, not just following them. What we expect from you 5- 7years of experience required Degree in Statistics, Maths, Physics, Economics or similar field Programming skills (Python and SQL are a must have) Analytical Techniques and Technology Logical thinking and problem solving Strong communication skills Stakeholder Management Experience with and passion for connecting your work directly to the customer experience, making a real and tangible impact Statistical Modelling and experience of applying data science into client problems.

It s a chance to apply your expertise to distil complex problems into compelling insights using the best of machine learning and human creativity to deliver effective and impactful solutions for clients. Joining our advanced data science team, you'll investigate, develop, implement and deploy a range of complex applications and components while working alongside super-smart colleagues challenging and rewriting the rules, not just following them. What we expect from you 2- 4 years of experience required Degree in Statistics, Maths, Physics, Economics or similar field Programming skills (Python and SQL are a must have) Analytical Techniques and Technology Logical thinking and problem solving Strong communication skills Experience with and passion for connecting your work directly to the customer experience, making a real and tangible impact Statistical Modelling and experience of applying data science into client problems.

Paramatrix Technologies Pvt. Ltd is looking for Junior AL/ML to join our dynamic team and embark on a rewarding career journey We are seeking a highly skilled and motivated Machine Learning Engineer to join our dynamic team The Machine Learning Engineer will be responsible for designing, developing, and deploying machine learning models to solve complex problems and enhance our products or services The ideal candidate will have a strong background in machine learning algorithms, programming, and data analysis Responsibilities:Problem Definition:Collaborate with cross-functional teams to define and understand business problems suitable for machine learning solutions Translate business requirements into machine learning objectives Data Exploration and Preparation:Analyze and preprocess large datasets to extract relevant features for model training Address data quality issues and ensure data readiness for machine learning tasks Model Development:Develop and implement machine learning models using state-of-the-art algorithms Experiment with different models and approaches to achieve optimal performance Training and Evaluation:Train machine learning models on diverse datasets and fine-tune hyperparameters Evaluate model performance using appropriate metrics and iterate on improvements Deployment:Deploy machine learning models into production environments Collaborate with DevOps and IT teams to ensure smooth integration Monitoring and Maintenance:Implement monitoring systems to track model performance in real-time Regularly update and retrain models to adapt to evolving data patterns Documentation:Document the entire machine learning development pipeline, from data preprocessing to model deployment Create user guides and documentation for end-users and stakeholders Collaboration:Collaborate with data scientists, software engineers, and domain experts to achieve project goals Participate in cross-functional team meetings and knowledge-sharing sessions

As a part of GIG, Godrej Industries Group (GIG) is in the business of oleo-chemicals, surfactants, finance & investments, and estate management. In the past few years, the group has also focused on increasing its global footprint in developing economies like Latin America, Indonesia and Africa through its FMCG arm Godrej Consumer Products Limited (GCPL) . GCPL is a leader among the Indian-born FMCG companies with leading Household and Personal Care Products. The real estate arm, Godrej Properties Limited (GPL) brings the group s philosophy of innovation and excellence to the real estate industry. It aims to deliver superior value to all stakeholders through extraordinary and imaginative spaces created out of deep customer focus and insight. The agri-business arm Godrej Agrovet Ltd (GAVL) of GILAC is dedicated to improving the productivity of Indian farmers by innovating products and services that sustainably increase crop and livestock yields. The company operates in animal feed, oil palm, agri inputs, hybrid seeds, and poultry in which it is a leader. Godrej Capital (GC) is the vertical that aims to finance your dreams. We understand what s important to you, and taking the Group s legacy of trust, we bring to you financial solutions to secure your future, creating moments of joy. www.godrejgroup.com Designation : Deputy General Manager AI Lab Location : Mumbai, India Job Purpose As a Deputy General Manager (DGM) at the Godrej AI Lab, you will play a pivotal role in leading high-impact AI programs across group businesses. You will drive the development and deployment of advanced AI solutions, foster strong stakeholder partnerships, and manage a focused team of AI engineers and executives. This position demands a combination of strategic leadership, strong execution capabilities, and a sound understanding of AI technologies. You ll work closely with business teams, IT, and external partners to deliver outcomes that matter. Roles & Responsibilities: Lead the end-to-end lifecycle of AI initiatives from business problem framing to scaled deployment. Partner with business leaders to define priorities, scope solutions, and drive adoption. Manage and mentor a team of AI engineers and senior executives to ensure execution quality and timely delivery. Translate business challenges into technically feasible and measurable AI use cases. Guide solution design, vendor evaluations, and platform/tooling choices. Ensure integration and alignment across business, data, IT, and external stakeholders. Monitor project progress and impact metrics, proactively addressing risks or delays. Contribute to the broader AI maturity journey supporting enablement, communication, or upskilling efforts as needed. Stay informed on the evolving AI landscape to bring relevant innovations into the organization. Educational Qualification: Education: Bachelor s or Master s in Computer Science, Engineering, Data Science, or a related technical discipline. MBA or certifications in AI/Gen AI are a plus. Experience: 7+ years of experience in digital transformation, AI/ML, data science, or technology-led business roles. Strong Experience in AI and Gen AI Good track record of delivering complex, multi-stakeholder projects. Demonstrated ability to manage teams and influence cross-functional senior leaders. Experience working with external tech partners and system integrators Skills: Solid understanding of AI and machine learning concepts, platforms, and applications. Ability to translate business needs into technically sound solutions. Strong project and stakeholder management skills; proven ability to lead in a matrixed setup. Strategic and analytical mindset with a bias for execution. Excellent communication, facilitation, and relationship-building skills. Comfort with ambiguity and a proactive, problem-solving approach.

About Godrej Industries Limited Group (GIG ) Godrej Industries Group (GIG), is a vibrant group of listed Godrej companies. It has a clear focus on Chemicals, FMCG, Real Estate, Agriculture and Financial Services, a set of diverse industries, most of which are defining new India s growth story. At GIG we seek to achieve this growth through fostering an inspiring place to work, while inculcating shared value through a philosophy of Good & Green . As a part of GIG, Godrej Industries Group (GIG) is in the business of oleo-chemicals, surfactants, finance & investments, and estate management. In the past few years, the group has also focused on increasing its global footprint in developing economies like Latin America, Indonesia and Africa through its FMCG arm Godrej Consumer Products Limited (GCPL) . GCPL is a leader among the Indian-born FMCG companies with leading Household and Personal Care Products. The real estate arm, Godrej Properties Limited (GPL) brings the group s philosophy of innovation and excellence to the real estate industry. It aims to deliver superior value to all stakeholders through extraordinary and imaginative spaces created out of deep customer focus and insight. The agri-business arm Godrej Agrovet Ltd (GAVL) of GILAC is dedicated to improving the productivity of Indian farmers by innovating products and services that sustainably increase crop and livestock yields. The company operates in animal feed, oil palm, agri inputs, hybrid seeds, and poultry in which it is a leader. Godrej Capital (GC) is the vertical that aims to finance your dreams. We understand what s important to you, and taking the Group s legacy of trust, we bring to you financial solutions to secure your future, creating moments of joy. www.godrejgroup.com Designation : AI Engineer AI Lab Location: Mumbai, India Job Purpose As an AI Engineer in the Godrej AI Lab, you will play a key role in developing and experimenting with AI and GenAI solutions to solve business problems. This role is deeply technical but also exploratory in nature. You will be responsible for testing feasibility, building prototypes, running experiments, and co-creating solutions with both internal teams and external partners. Your work will directly contribute to evaluating new use cases, scaling successful pilots, and embedding AI into our business workflows. All solutioning, prototyping, testing, and development will be anchored by you making this a highly engaging and interesting role at the heart of real-world AI delivery Roles & Responsibilities: Build, test, and iterate on AI and GenAI solutions using industry-standard tools and platforms. Anchor technical components of AI use cases from experimentation to solution deployment. Collaborate with managers, internal tech teams, and external partners to co-develop POCs and scalable solutions. Conduct feasibility assessments and support decision-making through rapid experimentation. Translate abstract business problems into model-ready formats, including data preparation and feature engineering. Work on GenAI components such as prompt design, LLM integration, and retrieval-augmented generation (RAG). Maintain clean, well-documented code and version control practices. Integrate solutions with APIs and backend systems as needed, in partnership with engineering teams. Support model evaluation, optimization, and iterative improvement cycles. Contribute to the AI Labs internal knowledge-sharing and tooling base Educational Qualification: Bachelor s or Master s in Computer Science, Engineering, or a related technical field. Experience: 4 6 years of hands-on experience in AI/ML, GenAI, or applied data science roles. Experience building or experimenting with AI solutions in practical business settings. Exposure to collaborative delivery with tech teams or solution partners. Skills: Strong proficiency in Python and libraries like Pandas, NumPy, scikit-learn, PyTorch, TensorFlow. Experience with GenAI APIs (OpenAI, PaLM, Hugging Face) and vector databases (e.g., Pinecone, FAISS). Working knowledge of prompt engineering, LLMs, RAG, and LangChain-style pipelines. Comfortable with code versioning (Git), API-based integration, and cloud environments (GCP, AWS, Azure). Ability to think critically, test hypotheses, and learn rapidly through experimentation. Good collaboration skills and attention to clean, modular code An inclusive Godrej If this sounds like a role for you, apply now! We look forward to meeting you.

JIDOKA SYSTEMS PRIVATE LIMITED is looking for Data Science Engineers to join our dynamic team and embark on a rewarding career journey Data Exploration and Preparation:Explore and analyze large datasets to understand patterns and trends Prepare and clean datasets for analysis and model development Feature Engineering:Engineer features from raw data to enhance the performance of machine learning models Collaborate with data scientists to identify relevant features for model training Model Development:Design and implement machine learning models to solve business problems Work on both traditional statistical models and modern machine learning algorithms Scalable Data Pipelines:Develop scalable and efficient data pipelines for processing and transforming data Utilize technologies like Apache Spark for large-scale data processing Model Deployment:Deploy machine learning models into production environments Collaborate with DevOps teams to integrate models into existing systems Performance Optimization:Optimize the performance of data pipelines and machine learning models Fine-tune models for accuracy, efficiency, and scalability Collaboration: Collaborate with cross-functional teams, including data scientists, software engineers, and business stakeholders Communicate technical concepts and findings to non-technical audiences Continuous Learning:Stay current with advancements in data science and engineering Implement new technologies and methodologies to improve data engineering processes

Role : Data Scientist with ML Knowledge. Experience : 3-4 years. Skill Set : Data Science Machine Learning Data Modelling and Statistical Analysis Experience in Python , DBs and ML packages Experience in Flask API , Cloud services (Azure, AWS, Open AI , Gemini Flash) Experience in version control and collaborating with development teams Knowledge of Deep Learning Frameworks(Pytorch / TensorFlow etc) Responsibility Sanitize, analyze, and preprocess structured and unstructured data using tools like Pandas, NumPy, SQL, and Spark. Implement ML algorithms using Python and libraries such as scikit-learn, TensorFlow, PyTorch, XGBoost.Perform feature engineering , model tuning, and validation to optimize model performance. Develop dashboards and reports using tools like Power BI, Tableau , or Streamlit for stakeholder communication. Continuously monitor and improve the performance of deployed models. Stay updated with the latest trends in ML/AI and bring innovative ideas to the table.

Title - Product Management - Product Manager - CST (Gen AI) Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About the Team: At CST Product we are redefining the experience of our customers, using AI and automations which will help us to identify the user intent with Context to provide one click resolution and adding intelligence to identify product gaps and downtime.We are also building a scalable platform to integrate with multiple products to provide Data sanity and Unified Customer experience About the Role: We're seeking an experienced Product Manager to lead the development and scaling of cutting-edge Generative AI (Gen AI) and Large Language Model (LLM) powered products for the Fintech industry. If you have a passion for building innovative products, a data-driven problem-solving mindset, and a willingness to learn, we'd love to hear from you! Responsibilities: - Build and launch Gen AI and LLM powered products that transform the Fintech industry - Collaborate with cross-functional teams, including Engineering, Design, and Data Science - Develop product roadmaps, requirements, and user stories - Analyze data to inform product decisions and measure success - Stay up-to-date with industry trends and emerging technologies : - 4-6 years of product experience, with a focus on Gen AI and LLM powered products - Hands-on experience building and scaling AI-powered products - Open to learning, inquisitive, and growth-oriented mindset - Data-driven problem-solving skills, with experience working with data analytics tools - Excellent communication, collaboration, and project management skills What We Offer: - Opportunity to develop and scale state-of-the-art Gen AI powered products for Fintech - Chance to learn from the best minds in Engineering and product domains - Competitive salary and benefits package - Collaborative, dynamic, and innovative work environment Location - Bangalore, Karnataka,Noida, Uttar Pradesh

Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About the team Being one of the largest payment platforms in the country, we aim to not only ensure a seamless experience, but also a delightful journey for our customers. We strive to enrich the customer experience by making every transaction transparent, honest, and hassle-free. The app product team ensures to deliver an outstanding user experience to the Paytm Customers by understanding the user, discerning their use patterns, and designing an app that meets their user's needs. About the Role: Business analyst focuses on data, statistical analysis and reporting to help investigate and analyze business performance, provide insights, and drive recommendations to improve performance. 1. Setup & maintain passbook dashboards for core passbook metrics 2. Helps with analytics tasks involving passbook accounts section where we track different user actions like check bal, CTR on growth cards to report & build subsequent funnels 3. Helps with analytics pipeline setup for new features like - new passbook revamp, hide payments, spend analytics, UPI statement email & download, add/edit tags, etc. 4. Owns production pipelines for email statements & suggestions within to-mobile screens & is activelyclosing the work on pipeline setup for reminders data which was earlier shared by DS 5. Helps with driving areas which are analytics driven like - CST tickets reduction flows, check balance loop creation flows, etc. 6. Also will help in setting up exhaustive analytics for new roadmap items like - Account aggregator, Cross-sell, etc. 7. Ad-hoc data requests for passbook Expectations/ : 1. Derive business insights from data with a focus on driving business level metrics. 2. Ability to interact and convince business stakeholders. 3. Developing insightful analysis about business and their strategic and operational implications. 4. Partner with stakeholders at all levels to establish current and ongoing data support and reporting needs. 5. Analyze data from multiple angles, looking for trends that highlight areas of concerns or opportunities. 6. Design, create and deliver data reports, dashboards, extract and/or deliver presentations to strategic questions. 7. Identifying data needs and driving data quality improvement projects. Key Skills Required: 1.Ideally have 4-5 years experience working on data analytics and business intelligence. Candidates from b2c consumer internet product companies are preferred. 2. Proven work experience on MS Excel, Google analytics, SQL, Data Studio, any BI Tool, business analyst or similar role. 3. Should be comfortable working in a fast-changing environment and ambiguous. 4. Critical thinking and very detail oriented. 5. In-depth understanding of datasets, data and business understanding. 6. Capable of demonstrating good business judgement. Education: Applicants must have an engineering academic background with specialization in data science . Why join us We aim at bringing half a billion Indians into the mainstream economy, and everyone working here is striving to achieve that goal. Our success is rooted in our people’s collective energy and unwavering focus on the customers, and that’s how it will always be. We are the largest merchant acquirer in India. Compensation If you are the right fit, we believe in creating wealth for you With enviable 500 mn+ registered users, 21 mn+ merchants and depth of data in our ecosystem, we are in a unique position to democratize credit for deserving consumers & merchants – and we are committed to it. India’s largest digital lending story is brewing here. It is your opportunity to be a part of the story!

Paytm is India’s leading digital payments and financial services company, which is focused on driving consumers and merchants to its platform by offering them a variety of payment use cases. Paytm provides consumers with services like utility payments and money transfers, while empowering them to pay via Paytm Payment Instruments (PPI) like Paytm Wallet, Paytm UPI, Paytm Payments Bank Netbanking, Paytm FASTag and Paytm Postpaid - Buy Now, Pay Later. To merchants, Paytm offers acquiring devices like Soundbox, EDC, QR and Payment Gateway where payment aggregation is done through PPI and also other banks’ financial instruments. To further enhance merchants’ business, Paytm offers merchants commerce services through advertising and Paytm Mini app store. Operating on this platform leverage, the company then offers credit services such as merchant loans, personal loans and BNPL, sourced by its financial partners. About the team: Paytm is witnessing a broad growth across our platform as we continue to register increased adoption of our lending products, Paytm Postpaid (BNPL), merchant loans and personal loans. Lending business is driven by data science and analytics, providing data driven solutions About the role Evangelize and demonstrate value and impact of analytics for informed business decision making by developing and deploying analytical solutions and providing data driven insights to business stakeholders to understand and solve for various lending business nuances. Expectations/: 2-5 years’ experience in analytics domain in analytics consulting and/or BFSI industry Bachelors or Master’s degree in statistics, economics, engineering, math or relevant quantitative discipline with strong academic performance is required Strong expertise in machine learning, data analytics, statistics, data management, tools such as python/R, big data, and visualisation Strong knowledge of innovation in analytics, analytics use cases and technologies Exceptional problem-solving skills with demonstrated ability to structure complex problems and develop solutions Experience in growth and development of advanced analytics as a practice Driven and proactive in taking initiatives and driving implementation in coordination with the business stakeholders Excellent communication and presentation skills Extremely strong bias for action with an impact-oriented mind set Why join us A collaborative output driven program that brings cohesiveness across businesses through technology Improve the average revenue per use by increasing the cross-sell opportunities A solid 360 feedback from your peer teams on your support of their goals Compensation: If you are the right fit, we believe in creating wealth for you With enviable 500 mn+ registered users, 21 mn+ merchants and depth of data in our ecosystem, we are in a unique position to democratize credit for deserving consumers & merchants – and we are committed to it. India’s largest digital lending story is brewing here. It’s your opportunity to be a part of the story!

Paytm is India’s leading digital payments and financial services company, which is focused on driving consumers and merchants to its platform by offering them a variety of payment use cases. Paytm provides consumers with services like utility payments and money transfers, while empowering them to pay via Paytm Payment Instruments (PPI) like Paytm Wallet, Paytm UPI, Paytm Payments Bank Netbanking, Paytm FASTag and Paytm Postpaid - Buy Now, Pay Later. To merchants, Paytm offers acquiring devices like Soundbox, EDC, QR and Payment Gateway where payment aggregation is done through PPI and also other banks’ financial instruments. To further enhance merchants’ business, Paytm offers merchants commerce services through advertising and Paytm Mini app store. Operating on this platform leverage, the company then offers credit services such as merchant loans, personal loans and BNPL, sourced by its financial partners. About the team: Paytm is witnessing a broad growth across our platform as we continue to register increased adoption of our lending products, Paytm Postpaid (BNPL), merchant loans and personal loans. Lending business is driven by data science and analytics, providing data driven solutions About the role Evangelize and demonstrate value and impact of analytics for informed business decision making by developing and deploying analytical solutions and providing data driven insights to business stakeholders to understand and solve for various lending business nuances. Expectations/: 2-6 years’ experience in analytics domain in analytics consulting and/or BFSI industry Bachelors or Master’s degree in statistics, economics, engineering, math or relevant quantitative discipline with strong academic performance is required Strong expertise in machine learning, data analytics, statistics, data management, tools such as python/R, big data, and visualisation Strong knowledge of innovation in analytics, analytics use cases and technologies Exceptional problem-solving skills with demonstrated ability to structure complex problems and develop solutions Experience in growth and development of advanced analytics as a practice Driven and proactive in taking initiatives and driving implementation in coordination with the business stakeholders Excellent communication and presentation skills Extremely strong bias for action with an impact-oriented mind set Why join us A collaborative output driven program that brings cohesiveness across businesses through technology Improve the average revenue per use by increasing the cross-sell opportunities A solid 360 feedback from your peer teams on your support of their goals Compensation: If you are the right fit, we believe in creating wealth for you With enviable 500 mn+ registered users, 21 mn+ merchants and depth of data in our ecosystem, we are in a unique position to democratize credit for deserving consumers & merchants – and we are committed to it. India’s largest digital lending story is brewing here. It’s your opportunity to be a part of the story!

Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About the Role Business analyst focuses on data, statistical analysis and reporting to help investigate and analyze business performance, provide insights, and drive recommendations to improve performance. Expectations/ : 1. Drive business insights from data with a focus on driving business level metrics. 2. Ability to interact and convince business stakeholders. 3. Developing insightful analysis about business and their strategic and operational implications. 4. Partner with stakeholders at all levels to establish current and ongoing data support and reporting needs. 5. Analyze data from multiple angles, looking for trends that highlight areas of concerns or opportunities. 6. Design, create and deliver data reports, dashboards, extract and/or deliver presentations to strategic questions. 7. Identifying data needs and driving data quality improvement projects. Key Skills Required: 1. Ideally have 2-5 years experience working on data analytics and business intelligence. Candidates from b2c consumer internet product companies are preferred. 2. Proven work experience on MS Excel, Google analytics, SQL, Data Studio, any BI Tool, business analyst or similar role. 3. Should be comfortable working in a fast-changing environment and ambiguous. 4. Critical thinking and very detail oriented. 5. In-depth understanding of datasets, data and business understanding. 6. Capable of demonstrating good business judgement. Education Applicants must have an engineering academic background with specialization in data science . Why join us : We aim at bringing half a billion Indians into the mainstream economy, and everyone working here is striving to achieve that goal. Our success is rooted in our people’s collective energy and unwavering focus on the customers, and that’s how it will always be. We are the largest merchant acquirer in India. Compensation If you are the right fit, we believe in creating wealth for you With enviable 500 mn+ registered users, 21 mn+ merchants and depth of data in our ecosystem, we are in a unique position to democratize credit for deserving consumers & merchants – and we are committed to it. India’s largest digital lending story is brewing here. It is your opportunity to be a part of the story! Location - Noida, Uttar Pradesh,Bangalore, Karnataka