About The Role We are looking for a passionate AI Engineer Intern with a solid foundation in Python , Object-Oriented Programming (OOPs) , and an interest in Generative AI (GenAI) . The ideal candidate should also have exposure to Data Science concepts and a willingness to work on real-world AI/ML projects under the mentorship of our engineering team. Key Responsibilities Assist in designing, developing, and deploying AI-driven solutions. Work with Generative AI models for tasks like text generation, summarization etc Apply Data Science techniques for data preprocessing, exploratory analysis, and model evaluation. Collaborate with the team to write clean, maintainable, and scalable Python code. Research and experiment with the latest AI and GenAI advancements. Must-Have Skills Strong knowledge of Python programming. Good understanding of Object-Oriented Programming (OOPs) concepts. Exposure to Generative AI (GenAI) models (e.g., GPT, LLaMA, or similar). Understanding of prompt engineering, tool calling, and shot-based prompting (zero-shot, one-shot, few-shot). Basic understanding of Data Science principles (data handling, feature engineering, model building). Familiarity with libraries like NumPy, Pandas, Scikit-learn Problem-solving mindset with eagerness to learn and experiment. Good communication and collaboration skills. Nice To Have (Optional) Familiarity with libraries like PyTorch/TensorFlow. Fine-tuning LLMs. Hands-on experience with AI projects (personal, academic, or hackathons). Knowledge of software development best practices (version control, testing).
About The Role We are looking for a highly skilled Analytics/AI Engineer to bridge the gap between data engineering and data analysis. You will play a critical role in building scalable data pipelines, transforming raw data into actionable insights, and enabling data-driven decision-making across the organization. Key Responsibilities Design and implement robust, scalable data pipelines using PySpark, Python, Polars and Gen-AI. Develop data models and transformation logic to support analytics and business intelligence needs. Leverage Python and Object-Oriented Programming (OOPs) principles to build reusable and maintainable data tools and workflows. Utilize Databricks and cloud-based platforms to process and manage large datasets efficiently. Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver clean, trusted data. Ensure high data quality and consistency across different systems and reports. Must-Have Skills Strong knowledge of Python programming. Good understanding of Object-Oriented Programming (OOPs) concepts. Advanced SQL skills for data manipulation and querying. Experience with PySpark, Polars for distributed and in-memory data processing. Ability to work independently in a fast-paced, agile environment. Problem-solving mindset with eagerness to learn and experiment. Good communication and collaboration skills. Nice To Have Understanding of data architecture, ETL/ELT processes, and data modelling. Knowledge on Databricks and Azure Cloud Environment. Good to have an understanding on Data Structures and Algorithms. Familiarity with best coding practices, CI/CD & version control (Git).
About Us Discover Dollar's mission is to help enterprises to create value by harnessing vast amount of unstructured data - in the form of email, chats, PDFs, and contract copies etc., using data-first approach using data science, AI and cutting-edge technologies. Why Discover Dollar We are one of the great innovative product companies in the Finance space We have a magnificent work culture and are certified Great Place to Work We have a distinguished career in both Tech & Non-Tech domain Job Description The primary role of a Financial Analysis Intern is to Audit the standard reports to identify duplicate, over and under payments for the client. Analyze agreements, invoices, purchase orders and other documentation, exploring possible missed opportunities and improving the processes. Successfully uses Audit Tools with increasing proficiency with all systems and applications including internal and client tools. Identify new claim opportunities for different clients. Work on new initiatives and participate in various KT sessions organized in the company Requirements Candidate should hold a master's degree in commerce or finance. Ideal candidate should have Commerce / Finance in both UG & PG degree. Candidate should have 0 1 years of experience Should have good verbal and writing communication Should be strong in analytical skills Displays positive and can-do attitude Note Stipend is 12,000/- per month subject to 10% TDS Work Location - Bangalore Work mode - Hybrid Duration of internship - 6 months Interview process - Aptitude round, Group discussion, HR Interview, Technical Interview
This role reports to the Manager, Finance Analytics & Reporting. The Data Analyst has an in-depth knowledge and experience which permits this role to apply judgement and derive conclusions from various data analyses completed. This position is responsible for performing quantitative analysis of complex business situations, such as strategies, performance, and solutions related to the Contact to Cash or Procure to Pay, Acquire to Retire & Record to Report workstreams. Overall, the successful candidate in this role has proven experience in driving an agenda of collaborating with Business Stakeholders and Business Partners across Finance. What You’ll Do Generate and synthesize financial analysis related to Accounts Payable and Accounts Receivable transactions Perform data analytics in SQL and MS Excel, developing models or leveraging industry accepted tools Provide data solutions and tools to promote self-service solutions for our Business Stakeholders and Business Partners Provide expertise and translate business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization Who You Are Creative and courageous, with the ability to manage in an environment of change and ambiguity to help us take bold, strategic moves in this rapidly evolving retail environment Action oriented, and comfortable taking calculated risks to better serve our customers and business Outcome focused, critical thinkers with the ability to analyze and visualize, to ensure continuous improvement across our entire business What You Bring University degree in Business, Accounting, Mathematics, Engineering or related discipline 1-3 years' work experience in data analytics and related initiatives in complex organizations Demonstrated ability to interpret financial data, drive change and improve processes Knowledge of Excel and experience with Power BI dashboard development, DAX formula creation and optimization Financial analysis and reporting expertise, large dataset modeling capabilities Excellent communication, interpersonal, analytical and time management skills Ability to multi-task and manage shifting priorities and deadlines, with attention to detail and an ability to work both independently and in a team environment Work Shift: 11 am - 8:00 pm IST
This role reports to the Manager, Finance Analytics & Reporting. The Data Specialist has an in-depth knowledge and experience which permits this role to apply judgement and derive conclusions from various data analyses completed. This position is responsible for performing quantitative analysis of complex business situations, such as strategies, performance, and solutions related to the Contact to Cash or Procure to Pay, Acquire to Retire & Record to Report workstreams. Overall, the successful candidate in this role has proven experience in driving an agenda of collaborating with Business Stakeholders and Business Partners across Finance. What You’ll Do Support reporting updates and dashboard refreshes Build new workflows to automate reporting and simplify current processes Understand and update existing code and workflows to meet changing business requirements Create and update documentation as required Provide client stakeholders with accurate, timely and insightful reporting on key performance indicators and actively play a role in driving efficiency Run reoccurring ETL processing Support Accounts Payable activities as required Who You Are Creative and courageous, with the ability to manage in an environment of change and ambiguity to help us take bold, strategic moves in this rapidly evolving retail environment Action oriented, and comfortable taking calculated risks to better serve our customers and business Outcome focused, critical thinkers with the ability to analyze and visualize, to ensure continuous improvement across our entire business What You Bring University degree in Business, Accounting, Mathematics, Engineering or related discipline 1-3 years' work experience in data analytics and scripting Experience coding in Python and VBA Experience with automation design and implementation of automated workflows Experience with OfficeScript/TypeScript and KNIME are an asset Good communication, interpersonal, analytical and time management skills Ability to multi-task and manage shifting priorities and deadlines, with attention to detail and an ability to work both independently and in a team environment Work time: 11 AM - 8:00 PM IST
About Discover Dollar Discover Dollar helps large enterprises find and prevent payment errors and revenue leakages using AI-driven analytics. $450B+ spend analyzed | $1B+ recovered >4× ROI typically within 8 weeks Risk-mitigated commercial model (pay-after-results) Our platform detects 100+ error scenarios across Accounts Payable, Contract Compliance, Deduction Management, and Spend Intelligence. About The Role We are looking for an enthusiastic and detail-oriented Recruitment Intern to join our HR team. This internship will provide hands-on exposure to end-to-end recruitment processes, candidate engagement, and employer branding initiatives. It’s an excellent opportunity for someone aspiring to build a career in HR, especially in Talent Acquisition. Key Responsibilities Own sourcing candidates through job portals (e.g. Naukri, Indeed, Internshala and other Gen AI apps), social media, and internal databases. Screen resumes and shortlist candidates based on job requirements. Schedule interviews and coordinate between candidates and hiring managers. Support in creating and posting job descriptions across platforms. Maintain and update candidate databases, trackers, and reports. Help in conducting Background verifications and offer rollouts under supervision. Assist in campus hiring drives, internship programs, and onboarding activities. Contribute ideas to enhance the candidate experience and employer branding. Master ATS (Applicant Tracking System) usage and leverage it for better business outcome. Qualifications & Skills Education: Bachelor’s degree (any discipline) or MSW in HR (preferred). Experience: Fresher or prior internship experience in recruitment is an added advantage. Skills Required: Strong written & oral communication and interpersonal skills. Good understanding of social media and online research. Ability to multitask, prioritize, and maintain confidentiality. Proficient in MS Excel, and MS Office. Eagerness to learn and contribute to a fast-paced HR environment. What You’ll Learn End-to-end recruitment lifecycle management. Exposure to multiple roles and hiring domains. Practical use of HR tools, ATS systems, and sourcing techniques. Professional communication and stakeholder coordination skills. Insights into employer branding and HR analytics.
Job Title: Lead Financial Analyst (Accounts Payable Research) Engagement: One-time Project / Short-Term Contract Work Mode: Remote – US Compensation: Result oriented incentive About Discover Dollar Discover Dollar helps enterprises unlock hidden financial value by analyzing unstructured data — invoices, contracts, emails, PDFs, chats, and more -using AI, data science, and modern audit automation. We work with global retailers and enterprises to identify revenue leakage and missed recovery opportunities. Role Overview We are looking for a Lead Financial Analyst (Accounts Payable Research) [PK1] on a contract basis for a short-term, one-time engagement. The Primary Responsibility Is To Bringing real-world Accounts Payable expertise Conducting research and documentation in Accounts Payable Processes. Creating a space for innovation and discovery Evaluating, creating and testing our audit intelligence tools Identifying gaps, edge cases, and improvement opportunities Helping our product team refine and build better solutions This is a hands-on evaluation role requiring a strong understanding of Account payable processes, invoice structures, vendor terms, financial discrepancies and more. Key Responsibilities Research & Domain Understanding Analyze and document current, emerging, and best-practice Accounts Payable processes Identify and bring experience in pain points, bottlenecks, and typical challenges faced by Account payable teams Study market trends, compliance norms, vendor terms, and invoice structures Tool Testing & Evaluation Test the core audit platform using sample datasets and scenarios. Validate system outputs related to: Overpayments Duplicate payments Pricing or contract mismatches Missed allowances or credits Identify inaccuracies and categorize them (true positives, false positives, false negatives). Research & Documentation Analyze vendor agreements, POs, invoices, and contracts to understand expected behavior. Research financial discrepancies and evaluate whether tool logic aligns with Accounts Payable /contract rules. Provide structured feedback notes, suggestions, and improvement points. Collaboration & Reporting Work closely with the product team to explain issues, gaps, and edge cases. Offer recommendations to improve audit rules, UI flows, and output formats. Document findings in a clear, systematic, and reproducible format. Requirements Education Bachelor's or master's degree in Commerce Finance Accounting Economics or a related field. Experience 3-5 years of experience in: Accounts Payable operations or audits Vendor reconciliation Invoice analysis Procurement/retail finance Recovery audits or contract compliance audits Experience spotting financial discrepancies and leakages is essential Skills Strong analytical and financial research skills Deep understanding of invoice structures, AP workflows, and 2-way / 3-way matching High precision and attention to detail Strong Excel/Sheets proficiency Good communication skills for documenting feedback Bonus: Experience with QA, SQL, or product testing What We’re Looking For A Lead financial analyst with strong domain understanding and experience of real-world Account payable operations Someone who can independently explore Account payable workflows and simulate user behavior A detail-oriented professional who can articulate discrepancies clearly Ability to work fast, think critically, and deliver high-quality insights within the project timeline Deliverables User Simulation Report End-to-end walkthrough of actions taken as a simulated Account payables/Finance user Notes on ease of use, User experience, workflow processes, and more. Impact Assessment Analysis on how the tool/Idea helps professionals in their roles Evaluation of time savings, accuracy, and workflow benefits Efficiency Evaluation How efficiently a user can identify discrepancies Steps that feel slow, confusing, or require too much manual input Gap & Opportunity Findings Cases where expected insights were missing False positives/negatives Suggestions for improving audit rules, workflow logic, and UI design Final Structured Feedback Document List of recommendations Prioritization of issues (High/Medium/Low) User-centered suggestions for product enhancement
Role Overview You will be responsible for creating a space for innovation and discovery, evaluating, creating, and testing audit intelligence tools, identifying gaps, edge cases, and improvement opportunities, and helping the product team refine and build better solutions. Key Responsibilities - Research & Domain Understanding: Study market trends, compliance norms, vendor terms, and invoice structures. - Tool Testing & Evaluation: Test the core audit platform using sample datasets and scenarios. Validate system outputs for pricing or contract mismatches, missed allowances or credits, and categorize inaccuracies. - Research & Documentation: Analyze vendor agreements, POs, invoices, and contracts. Provide structured feedback notes, suggestions, and improvement points. - Collaboration & Reporting: Work closely with the product team to explain issues, gaps, and edge cases. Offer recommendations to improve audit rules, UI flows, and output formats. Document findings clearly. Qualification Required Education: - Bachelor's or master's degree in Commerce, Finance, Accounting, Economics, or a related field. Experience: - 3-5 years of experience in vendor reconciliation, invoice analysis, procurement/retail finance, recovery audits, or contract compliance audits. - Experience spotting financial discrepancies and leakages is essential. Skills: - Strong analytical and financial research skills. - Deep understanding of invoice structures, AP workflows, and 2-way / 3-way matching. - High precision and attention to detail. - Strong Excel/Sheets proficiency. - Good communication skills for documenting feedback. - Bonus: Experience with QA, SQL, or product testing.,