12+ Data extraction Jobs in India
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Data AnalyticsAs a Solution Architect, you will collaborate with our sales, presales and COE teams to provide technical expertise and support throughout the new business acquisition process. You will play a crucial role in understanding customer requirements, presenting our solutions, and demonstrating the value of our products.
You thrive in high-pressure environments, maintaining a positive outlook and understanding that career growth is a journey that requires making strategic choices. You possess good communication skills, both written and verbal, enabling you to convey complex technical concepts clearly and effectively. You are a team player, customer-focused, self-motivated, responsible individual who can work under pressure with a positive attitude. You must have experience in managing and handling RFPs/ RFIs, client demos and presentations, and converting opportunities into winning bids. You possess a strong work ethic, positive attitude, and enthusiasm to embrace new challenges. You can multi-task and prioritize (good time management skills), willing to display and learn. You should be able to work independently with less or no supervision. You should be process-oriented, have a methodical approach and demonstrate a quality-first approach.
Ability to convert client’s business challenges/ priorities into winning proposal/ bid through excellence in technical solution will be the key performance indicator for this role.
What you’ll do
- Architecture & Design: Develop high-level architecture designs for scalable, secure, and robust solutions.
- Technology Evaluation: Select appropriate technologies, frameworks, and platforms for business needs.
- Cloud & Infrastructure: Design cloud-native, hybrid, or on-premises solutions using AWS, Azure, or GCP.
- Integration: Ensure seamless integration between various enterprise applications, APIs, and third-party services.
- Design and develop scalable, secure, and performant data architectures on Microsoft Azure and/or new generation analytics platform like MS Fabric.
- Translate business needs into technical solutions by designing secure, scalable, and performant data architectures on cloud platforms.
- Select and recommend appropriate Data services (e.g. Fabric, Azure Data Factory, Azure Data Lake Storage, Azure Synapse Analytics, Power BI etc) to meet specific data storage, processing, and analytics needs.
- Develop and recommend data models that optimize data access and querying. Design and implement data pipelines for efficient data extraction, transformation, and loading (ETL/ELT) processes.
- Ability to understand Conceptual/Logical/Physical Data Modelling.
- Choose and implement appropriate data storage, processing, and analytics services based on specific data needs (e.g., data lakes, data warehouses, data pipelines).
- Understand and recommend data governance practices, including data lineage tracking, access control, and data quality monitoring.
What you will Bring
- 10+ years of working in data analytics and AI technologies from consulting, implementation and design perspectives
- Certifications in data engineering, analytics, cloud, AI will be a certain advantage
- Bachelor’s in engineering/ technology or an MCA from a reputed college is a must
- Prior experience of working as a solution architect during presales cycle will be an advantage
Soft Skills
- Communication Skills
- Presentation Skills
- Flexible and Hard-working
Technical Skills
- Knowledge of Presales Processes
- Basic understanding of business analytics and AI
- High IQ and EQ
Why join us?
- Work with a passionate and innovative team in a fast-paced, growth-oriented environment.
- Gain hands-on experience in content marketing with exposure to real-world projects.
- Opportunity to learn from experienced professionals and enhance your marketing skills.
- Contribute to exciting initiatives and make an impact from day one.
- Competitive stipend and potential for growth within the company.
- Recognized for excellence in data and AI solutions with industry awards and accolades.
PythonWe’re looking for a skilled Senior Machine Learning Engineer to help us transform the Insurtech space. You’ll build intelligent agents and models that read, reason, and act.
Insurance ops are broken. Underwriters drown in PDFs. Risk clearance is chaos. Emails go in circles. We’ve lived it – and we’re fixing it. Bound AI is building agentic AI workflows that go beyond chat. We orchestrate intelligent agents to handle policy operations end-to-end:
• Risk clearance.
• SOV ingestion.
• Loss run summarization.
• Policy issuance.
• Risk triage.
No hallucinations. No handwaving. Just real-world AI that executes – in production, at scale.
Join us to help shape the future of insurance through advanced technology!
We’re Looking For:
- Deep experience in GenAI, LLM fine-tuning, and multi-agent orchestration (LangChain, DSPy, or similar).
- 5+ years of proven experience in the field
- Strong ML/AI engineering background in both foundational modeling (NLP, transformers, RAG) and traditional ML.
- Solid Python engineering chops – you write production-ready code, not just notebooks.
- A startup mindset – curiosity, speed, and obsession with shipping things that matter.
- Bonus – Experience with insurance or document intelligence (SOVs, Loss Runs, ACORDs).
What You’ll Be Doing:
- Develop foundation-model-based pipelines to read and understand insurance documents.
- Develop GenAI agents that handle real-time decision-making and workflow orchestration, and modular, composable agent architectures that interact with humans, APIs, and other agents.
- Work on auto-adaptive workflows that optimize around data quality, context, and risk signals.
Interested candidates are requested to email their resumes with the subject line "Application for [Job Title]".
Only applications received via email will be reviewed. Applications through other channels will not be considered.
Position Overview
We are seeking an experienced SAP Cutover/Data Migration Consultant with over 5 years of expertise in managing end-to-end cutover activities and data migration processes in SAP implementation or upgrade projects. The ideal candidate will have a deep understanding of SAP data structures, migration tools, and methodologies, along with exceptional project management and collaboration skills.
Key Responsibilities :
Cutover Planning and Execution
Develop detailed cutover plans, including timelines, dependencies, roles, and responsibilities.
Coordinate with business, technical, and functional teams to ensure seamless execution of cutover activities.
Identify risks and develop mitigation strategies for a smooth transition to the production environment.
Execute and monitor the cutover plan during go-live, ensuring minimal business disruption.
Data Migration Management
Lead the end-to-end SAP data migration process, including extraction, transformation, cleansing, validation, and loading.
Work closely with business stakeholders to define data migration scope, strategies, and rules.
Develop and execute data mapping and transformation scripts using tools like LSMW, BODS, or SAP Migration Cockpit.
Ensure data quality and integrity by performing rigorous testing and validation activities.
Testing and Validation
Collaborate with functional and technical teams to define and execute data migration test plans.
Perform mock migrations, reconciliation, and post-load validation to ensure successful data loads.
Resolve data discrepancies and provide root cause analysis during testing phases.
Documentation and Reporting
Prepare and maintain detailed documentation, including cutover plans, data migration scripts, and issue logs.
Provide regular status updates to project stakeholders on cutover and migration progress.
Stakeholder Collaboration
Act as a liaison between business users, technical teams, and project managers to ensure alignment of migration activities.
Conduct workshops and training sessions for business users on data readiness and cutover processes.
Required Skills & Qualifications
Education: Bachelor’s degree in Computer Science, Information Technology, or related field.
Experience: Minimum 5+ years of experience in SAP cutover planning and data migration.
Technical Skills:
Expertise in SAP data migration tools such as LSMW, SAP BODS, SAP Data Migration Cockpit, or custom ETL tools.
Strong knowledge of SAP modules (e.g., SD, MM, FICO) and their data structures.
Proficiency in data extraction, transformation, and loading techniques.
Experience with S/4HANA migrations and understanding of HANA-specific data structures (preferred).
Hands-on experience in managing legacy system data extraction and reconciliation processes.
Soft Skills:
Strong analytical, organizational, and problem-solving skills.
Excellent communication and interpersonal skills to collaborate with cross-functional teams.
Ability to manage multiple priorities and deliver within tight timelines.
Preferred Certifications:
SAP Certified Application Associate – Data Migration.
SAP Activate Project Manager Certification (preferred).
Skills & Requirements
Cutover planning, execution, SAP data migration, LSMW, SAP BODS, SAP Migration Cockpit, ETL tools, SAP SD, SAP MM, SAP FICO, data extraction, data transformation, data loading, S/4HANA migration, HANA data structures, Legacy system data reconciliation, Analytical skills, Communication skills.
Machine Learning (ML)PythonLocation: Hyderabad, Hybrid, Remote
We’re looking for a Lead Machine Learning Engineer to help us transform the Insurtech space. You’ll build intelligent agents and models that read, reason, and act.
Insurance ops are broken. Underwriters drown in PDFs. Risk clearance is chaos. Emails go in circles. We’ve lived it – and we’re fixing it. Bound AI is building agentic AI workflows that go beyond chat. We orchestrate intelligent agents to handle policy operations end-to-end:
• Risk clearance.
• SOV ingestion.
• Loss run summarization.
• Policy issuance.
• Risk triage.
No hallucinations. No handwaving. Just real-world AI that executes – in production, at scale.
What We’re Looking For
- Deep, hands-on experience in GenAI, LLM fine-tuning, and multi-agent orchestration frameworks (LangChain, DSPy, Haystack, or similar), with a track record of delivering production-ready systems.
- 6+ years of proven experience in Machine Learning and AI engineering, with a strong emphasis on leadership, architecture ownership, and scaling ML systems in real-world environments.
- A solid ML/AI engineering background spanning both foundational modeling (NLP, transformers, RAG) and traditional machine learning approaches.
- Strong Python engineering skills — you write clean, scalable, production-ready code, not just research notebooks.
- A startup mindset — curiosity, speed, resourcefulness, and a relentless focus on shipping solutions that move the needle.
- Proven ability to mentor and guide ML specialists and engineers, fostering technical growth and best practices within a fast-paced team.
- Bonus: Experience in insurance tech or document intelligence (SOVs, Loss Runs, ACORDs) is highly valued.
What You’ll Be Doing
- Own, design, and optimize major architectural components within our AI infrastructure, ensuring scalability, reliability, and performance.
- Lead the development of GenAI agents for real-time decision-making, workflow orchestration, and modular multi-agent systems interacting with APIs, humans, and other agents.
- Design and build foundation-model-based pipelines to read, extract, and reason over complex insurance documents.
- Architect and maintain auto-adaptive, feedback-driven workflows that optimize dynamically based on data quality, operational context, and risk signals.
- Provide hands-on technical leadership across AI/ML projects, ensuring scalable, production-grade code and robust deployments.
- Mentor, coach, and grow a team of ML specialists and engineers, fostering a culture of engineering excellence, continuous learning, and innovation.
- Collaborate closely with product, engineering, and operations leaders to prioritize AI-driven solutions that directly impact our customers’ workflows.
Who We Are
- Bound AI was born inside OIP InsurTech – a 1000+ person global company that powers operations for MGAs and brokers across the U.S.
- We’re backed, battle-tested, and already deployed in the wild. This isn’t “build it and they might come.” The market is here – and we’re scaling fast.
Data ScienceMachine Learning (ML)Role Overview:
We are looking for a skilled Data Scientist with expertise in data analytics, machine learning, and AI to join our team. The ideal candidate will have a strong command of data tools, programming, and knowledge of LLMs and Generative AI, contributing to the growth and automation of our business processes.
Key Responsibilities:
- Data Analysis & Visualization:
- Develop and manage data pipelines, ensuring data accuracy and integrity.
- Design and implement insightful dashboards using Power BI to help stakeholders make data-driven decisions.
- Extract and analyze complex data sets using SQL to generate actionable insights
2 Machine Learning & AI Models:
- Build and deploy machine learning models to optimize key business functions like discount management, lead qualification, and process automation.
- Apply Natural Language Processing (NLP) techniques for text extraction, analysis, and classification from customer documents.
- Implement and fine-tune Generative AI models and large language models (LLMs) for various business applications, including prompt engineering for automation tasks.
3 Automation & Innovation:
- Use AI to streamline document verification, data extraction, and customer interaction processes.
- Innovate and automate manual processes, creating AI-driven solutions for internal teams and customer-facing systems.
- Stay abreast of the latest advancements in machine learning, NLP, and generative AI, applying them to real-world business challenges.
Qualifications:
- Bachelor's or Master’s degree in Computer Science, Data Science, Statistics, or related field.
- 4-7 years of experience as a Data Scientist, with proficiency in Python, SQL, Power BI, and Excel.
- Expertise in building machine learning models and utilizing NLP techniques for text processing and automation.
- Experience in working with large language models (LLMs) and generative AI to create efficient and scalable solutions.
- Strong problem-solving skills, with the ability to work independently and in teams.
- Excellent communication skills, with the ability to present complex data in a simple, actionable way to non-technical stakeholders.
If you’re excited about leveraging data and AI to solve real-world problems, we’d love to have you on our team!
Role: HCM Oracle Cloud Implementation
JD:
Expereince in Data extraction from Oracle HCM EBS and Data load through HDL in Oracle HCM cloud
• Experience on multiple full lifecycle Oracle Fusion ERP Cloud implementation projects or similar ERP/SaaS/in-house applications
• Required to have at least 3 to 4 full life cycle implementation experience in Oracle Recruitment Cloud or similar Cloud products
- Experience in configuring workforce compensation plans
- Experience with creating compensation change statement and should be able to create security roles
- Experience in HDL and fast formula
• Experience working with global users and teams
• Work with business users and identify business requirements, conduct CRP workshops, etc.
• Work with offshore team
• Confirm unit testing of reports, interfaces, data conversion and extensions (workflow, triggers, forms, etc.)
• Support solution validation in the phases of SIT, UAT and Go Live
HTML/CSS
Javascript
XML- Overall, 4-5 years of experience
- At least 3 years of HTML/CSS development experience is required
- Must have solid working experience on HTML5, CSS3, XML
- Should be an expert on XPath/Regex expressions for complex website navigations
- Working knowledge on core JavaScript
- Experience of mentoring the junior team members will be desirable
- Must have good communication skills
Role - MIS Executive
Experience - 2 to 4 years
Job Location - Ahmedabad
- Maintenance of existing management information systems.
- Generate and distribute management reports in an accurate and timely manner.
- Use Advanced Excel capabilities, including pivot tables, look-ups, complex formulas and graphing to streamline business processes.
- Ability to understand complex data, analyze and make reports and dashboards
- Extract the data from the designated portal and update it.
- Provide recommendations to update current MIS to improve reporting efficiency and consistency.
- Perform data analysis for generating reports on a periodic basis.
- Provide strong reporting and analytical information support to the management team.
- Generate both periodic and ad hoc reports as required.
- Analyze business information to identify process improvements for increasing business efficiency and effectiveness.
- Provide support and assistance to management in issue troubleshooting and resolution.
- Handling database management by using Advanced Excel tools & MS Access
- Should be proficient with Advanced Excel Formulas such as, Pivot Table, Lookups, Index Formatting, Conditional Formatting.
- Exp in Tableau, Dashboard creation & Data crunching & extraction
- Qualification: Bachelor's degree with experience of 2 - 4 Years
- 2 to 4 Years experience in MIS and Dashboarding is a must.
Real Estate Investment Analyst Responsibilities:
Analyst will be a part of investments team & will work on transactions including acquisitions and asset management duties as required. Key responsibility area will include: • Maintaining and updating various trackers. • Real estate data extraction & entry. • Commercial real estate market research and analysis (including searching for updated reports on different markets, compiling data from various sources, updating spreadsheets and reports with important metrics). • Perform financial analysis (develop financial models, build scenarios, prepare dashboards, etc.) of real estate investments under guidance of members of the team. • Prepare investment memos, pitch and presentation materials. • Working with the Deal Team to provide and organize due diligence information. • Assist in maintaining project timelines, workplan and ensuring milestones are met on time. • Support senior staff in preparation of budget and forecast exercises, audits, reporting, portfolio planning and finance management. • Prepare information packages and related documents for raising equity and debt.
Qualifications:
We are seeking to hire individuals who are highly motivated, mature and intelligent and have demonstrated excellence in prior endeavours. The successful candidate should have: • Strong analytical and communication skills. • A desire to work in a team environment, often under pressure. • Excellent attention to detail. • Intellectual curiosity and entrepreneurial zeal. • A desire to contribute to a positive culture. • Bachelor’s degree or higher in Real Estate, Economics, Business, or Finance. • Prior experience in real estate preferred. • Fluency in Microsoft Office suite (Outlook, Excel, Word, PowerPoint, etc.).
We are Social.HR
An early-stage HR-Tech (SaaS) company. We aspire to be the leading self-driven career platform with intelligence. We are putting together a strong team of young individuals. The founders have the vision to create an intelligent, intuitive, and responsive career platform which gives you data-driven career insight and allows you to #BeTheBestYou
Who is?
An Intern will be our go-to person for all research and data-related aspects. You should be a hack who can get things done.
We Look for?
- 1. Who is going to get hands dirty
- An outside the box thinker
- Who is not afraid to challenge the conventional wisdom
- Moving decisively towards business goals
- Flexible in managing work-life balance
Are you the right fit?
- You are awesome at online research
- You are driven to make documentation and audit look like a piece of cake
- Full time must
- Have graduated or finishing up the course
We offer
The intern role is fun and it lies at the intersection of business and technology with true upside potential. Initially, the compensation will be in the form of a stipend.
Data Analytics
AngularJS (1.x)
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