Workflow Modeling Jobs in Bengaluru

Data Scientist I Job Type: Full-Time Category: Data Science Location: Bangalore About Bright Money Bright is a mission-driven consumer fintech company helping Americans get out of debt and build stronger financial futures powered by data science and machine learning. Our mobile platform provides personalized tools for credit building, debt paydown, budgeting, and loan refinancing. With 300,000+ users, 100,000+ reviews, and support from top-tier investors like Sequoia, Falcon Edge, and Hummingbird, Bright is one of the fastest-growing fintech startups in the U.S. We ve raised $90M+ in equity and debt funding to date. We're proud to be building a global-first, data-driven consumer tech company from India, for the world. About the Role As a Data Scientist I, you will be part of a high-impact team using data and machine learning to power Bright s core financial products. You ll work on problems that directly improve users financial outcomes modeling behavior, predicting intent, and enabling smarter, automated experiences. This is a hands-on role for someone with strong fundamentals in ML, statistics, and programming, and a desire to turn data into real-world product impact. Key Responsibilities Design and build predictive models using core concepts of machine learning, statistics, and probability. Analyze large-scale user and transactional data to extract insights and inform strategy. Collaborate cross-functionally with product managers, engineers, and business stakeholders to define and solve problems. Deploy ML models into production environments, ensuring scalability, stability, and performance. Tune, evaluate, and interpret model results to maximize business value and user outcomes. Document methodologies and workflows for reproducibility and team collaboration. Stay current with AI/ML advancements and experiment with new techniques as appropriate. Required Qualifications Bachelor s or Master s degree in Computer Science, Statistics, Mathematics, or a related quantitative field. Strong grasp of ML and statistical concepts (e.g., regression, classification, hypothesis testing, probability distributions). Proficiency in Python or R, and experience with ML libraries such as scikit-learn, TensorFlow, or PyTorch. Familiarity with model deployment tools and frameworks (e.g., Docker, Flask/FastAPI, MLflow). Understanding of how to implement and monitor models in a real-world production environment. Awareness of modern AI techniques including transformers, LLMs, and generative AI. Strong problem-solving skills, curiosity, and ability to communicate complex ideas clearly. Exposure to cloud platforms like AWS, GCP, or Azure is a plus. Bonus Points For Experience with deep learning and advanced neural network architectures. Understanding of MLOps best practices (CI/CD for ML, monitoring, retraining pipelines). Personal projects, open-source contributions, or research publications in AI/ML. What You ll Work On Model user behavior and financial patterns to power intelligent product features. Analyze complex transaction datasets to surface actionable insights. Build and deploy ML systems that personalize savings and debt management strategies. Apply deep learning, reinforcement learning, and LLMs to real-world fintech use cases. Collaborate with engineering and product teams to launch data-powered experiences in the Bright app. Experiment with cutting-edge AI technologies to innovate in consumer finance. At Bright, you ll go beyond theory you ll use data to change lives. This is your chance to build meaningful, scalable machine learning systems that empower users to take control of their financial future. Qualification : Bachelors or Masters degree in Computer Science, Statistics, Mathematics, or a related quantitative field

Associate Credit Operations Job Type: Full-Time Category: Operations Location: Bangalore About Bright Bright is a consumer fintech company dedicated to helping Americans get out of debt using advanced data science and machine learning. Our mobile app integrates all the tools needed for managing and eliminating debt covering credit score building, automated debt paydown plans, financial and budget planning, and loan refinancing across credit cards, student loans, and car loans. With 300,000+ users, 6x growth in the last year, and over 100,000 ratings and reviews, Bright is one of the fastest-growing fintech platforms in the U.S. Supported by top venture capital firms like Sequoia, Falcon Edge, and Hummingbird, Bright has raised over $40 million in funding, including a recent $50M debt financing from Encina Lender Finance. Bright is ranked among the top 8 U.S. fintech companies and is poised to become a top-100 financial institution by leveraging data science and predictive modeling. We are proud to be building the first large-scale consumer tech company from India for global markets. About Our Founders Bright was founded in 2019 by industry veterans from McKinsey s Banking Practice and data scientists from InMobi: Petko Plachkov, Avi Patchava, Varun Modi, Avinash Ramakath, and Jayashree Merwade. Role Overview As an Associate Credit Operations professional, you will play a crucial role in assessing creditworthiness, supporting loan underwriting and approval, and ensuring smooth credit operations. You will work closely with cross-functional teams to monitor credit metrics, facilitate collections, and drive improvements in operational efficiency. Key Responsibilities Conduct thorough creditworthiness assessments following company policies and guidelines. Review customer profiles and credit applications against underwriting standards. Manage loan approval processes and support decision-making with sound judgment. Utilize collection systems to assist in managing delinquent accounts and dues recovery. Monitor and report on credit-related performance metrics regularly. Handle customer conflicts and disputes with a strong customer-centric approach. Investigate customer requests by gathering relevant data and exploring all information sources. Identify opportunities for process improvements to increase efficiency and effectiveness. Collaborate with teams to ensure compliance with credit policies and regulatory requirements. 1-2 years of experience in credit assessment, underwriting, or a related role. Strong understanding of credit product workflows and end-to-end process flows. Familiarity with credit risk assessment principles and banking domain knowledge. Knowledge of the U.S. credit environment and regulatory framework is a plus. Excellent verbal and written communication skills. High analytical and investigative capabilities. Ability to manage credit-related metrics and performance indicators. Strong negotiation, interpersonal skills, and ability to handle conflicts diplomatically. Join a fast-growing fintech startup backed by leading investors. Gain exposure to credit operations and risk management in a global context. Work alongside experienced professionals passionate about transforming consumer finance. Opportunity to grow within a dynamic, collaborative environment.

3D Visualizer Design & Development Location: Bengaluru Employment Type: Full-Time About the Role: We are looking for a talented 3D Visualizer with 4 5 years of hands-on experience in interior fit-out projects. The ideal candidate will have expert proficiency in SketchUp and V-Ray, along with a strong architectural sensibility. You will play a key role in transforming conceptual designs into high-quality photorealistic renders, working closely with architects, interior designers, and project managers to ensure visualizations accurately represent materiality, lighting, and spatial intent. Familiarity with Lumion, Revit, Rhino, and AI visualization tools is a strong plus. Key Responsibilities: 3D Modelling & Rendering Create detailed 3D models for interior fit-out schemes based on design team inputs. Produce photorealistic still images and animations, ensuring accurate textures, materials, lighting, and spatial representation aligned with design intent. Concept Development Support Collaborate with design teams to refine layouts, furniture arrangements, and material palettes. Interpret architectural drawings, elevations, and finish schedules to build precise digital environments. Presentation & Communication Prepare engaging presentation materials including boards, mood boards, and walkthrough animations for client presentations. Communicate technical feedback and iteration requests effectively with designers and project stakeholders. Quality Control & Optimization Ensure all renders meet high standards of resolution, realism, and alignment with design briefs. Optimize 3D scenes to reduce render times without compromising visual quality. Research & Innovation Stay updated on the latest rendering techniques, plugins, and software updates. Experiment with new workflows and tools to continuously improve visualization quality and efficiency. Technical Skills: Primary Tools: SketchUp (advanced modeling, dynamic components) V-Ray for SketchUp (materials, lighting, render settings) Supporting Software (Advantageous): Adobe Photoshop / Lightroom (post-production) 3ds Max or Rhino (for complex geometry or alternative workflows) AI tools, Enscape, Lumion, Revit Architectural Knowledge: Strong understanding of architectural principles, spatial planning, and building systems. Ability to read and interpret floor plans, sections, and finish schedules. Soft Skills: Excellent visual communication with strong attention to detail. Proactive problem-solver with a commitment to continuous improvement. Strong time management to handle multiple projects and deadlines effectively. Collaborative mindset to work seamlessly with architects, designers, and project managers. Preferred Qualifications: Bachelor s degree in Architecture, Interior Design, 3D Animation, or a related field. 4 5 years of professional experience specializing in interior fit-out or architectural visualization. Proven portfolio demonstrating expertise in SketchUp and V-Ray interior visualizations. Qualification : Bachelors degree in Architecture, Interior Design, 3D Animation, or a related field

Position Title: Data Architect Department: R&D Engineering Location: Bangalore Experience: 15+ Years Industry: SaaS / Conversational Engagement / Customer Experience Technology About Acqueon: Acqueon is a leading provider of conversational engagement software that enables customer-centric enterprises to proactively engage with their customers across voice, messaging, and email channels. By leveraging a powerful data platform, predictive models, and intelligent workflows, we help brands enhance customer experience, improve collections, and drive revenue growth. With over 200 global clients, Acqueon is at the forefront of AI-powered customer engagement. Role Overview: We are seeking a visionary and technically hands-on Data Architect to lead the development of enterprise-scale data platforms and engineering solutions. You will work closely with Product Owners, Engineering Leadership, and cross-functional teams to define and execute a strategic technology roadmap aligned with Acqueon s business goals. As a key member of our R&D team, you ll lead the design and development of highly scalable, low-latency, fault-tolerant data systems, while mentoring top-tier engineering talent and driving high-impact product features. Key Responsibilities: Architect & Lead: Design and lead development of scalable data architectures and solutions supporting real-time and batch processing, analytics, and enterprise applications. Strategic Ownership: Define and implement the data strategy, technology roadmap, and long-term architecture vision for Acqueon s platforms. Leadership: Manage and mentor a team of senior developers and engineers, fostering innovation, ownership, and delivery excellence. Cross-functional Collaboration: Work with Product, Sales, Engineering, and Customer teams to align on feature development and delivery strategy. Project Management: Oversee the end-to-end delivery of complex features, ensuring adherence to timelines, scalability, and quality standards. System Design: Review architecture and design for robustness, performance, and fault tolerance, including multi-region, high-availability setups. R&D Enablement: Collaborate with international R&D teams and align development efforts across global product initiatives. Innovation & Optimization: Drive architectural decisions, recommend performance improvements, and ensure best practices for enterprise-scale data solutions. Required Skills & Experience: Education: Bachelor s or Master s in Computer Science, IT, or related field. Experience: 15+ years in software development and data architecture, with leadership experience in managing engineering teams. Architecture Expertise: Proven experience in designing scalable, concurrent, distributed, and highly available data systems. Database Proficiency: Strong in SQL/NoSQL databases Experience with MS SQL, Aerospike, DynamoDB, Snowflake In-depth knowledge of micro-partitions, cluster keys, warehouse cloning, time travel in Snowflake Strong in writing and tuning complex stored procedures ETL & Pipelines: Experience in building ETL pipelines and integrating data from S3, Kinesis Streams, APIs Cloud & DevOps: Strong understanding of Docker, AWS, and cloud-native deployment architectures Setting up multi-region resilience, disaster recovery strategies Technologies: Elasticsearch, AWS data services, container orchestration Big Data & Analytics: Exposure to analytical processing and statistical modeling is a plus Leadership: Strong project management skills, stakeholder engagement, and team mentoring experience Preferred Qualifications: Background in customer engagement, VDI, Cybersecurity, or Secure Access technologies Previous experience working with distributed R&D and product teams Knowledge of Acqueon, Citrix, VMware, Omnissa platforms is a plus Certifications in AWS, Snowflake, or similar technologies are an advantage Soft Skills & Behavioral Traits: Strong verbal and written communication skills Strategic thinking with hands-on execution ability High accountability and ownership mindset Ability to work in a fast-paced, dynamic, startup-like environment Comfortable with ambiguity and context-switching Team player with the ability to lead by influence and collaboration Be a part of a fast-growing, AI-driven SaaS company disrupting the customer engagement space Work on cutting-edge technologies with global product teams Ownership of end-to-end solutions and ability to shape the data platform of the future A culture that promotes innovation, agility, and career growth

Position: Snowflake Data Engineer Location: Remote/Hybrid | Bengaluru, IND What You'll Do: Design & Optimize Data Pipelines: Build and enhance data pipelines and workflows using Snowflake, Azure, and DBT for efficient data ingestion, transformation, and analytics. Boost Performance: Optimize query performance and data storage within Snowflake to ensure lightning-fast data processing and retrieval. Implement ETL/ELT: Design and implement robust ETL/ELT processes, fully leveraging Snowflake's powerful capabilities for data ingestion and transformation. Collaborate Cross-Functionally: Work closely with various teams to understand their data needs and deliver high-quality, scalable data solutions. Ensure Data Governance: Uphold stringent data security, compliance, and governance standards, including data privacy and regulatory requirements. What You'll Bring: Experience: 4-10 years in data engineering, with a minimum of 3 years directly with Snowflake. SQL Mastery: Expert-level proficiency in SQL, including advanced querying, performance tuning, and data modeling. Deep Snowflake Knowledge: In-depth understanding of Snowflake architecture, features, and best practices for optimization and data management. Data Warehousing: Strong grasp of data warehousing concepts and dimensional modeling. Microsoft Technologies: Familiarity with Microsoft SSIS, SSAS, and SSMS. IaC & CI/CD: Knowledge of Infrastructure as Code (IaC) tools like Terraform and experience with GitHub Actions for CI/CD. Workflow Orchestration: Experience with tools like Airflow for managing and automating data workflows. Problem-Solving & Communication: A proactive, positive attitude with excellent written and verbal communication skills. Education: Bachelor s degree in Computer Science, Information Systems, or a related field. Bonus Points If You Have: Migration Experience: Hands-on experience with SQL Server to Snowflake migrations, especially using Fivetran. DBT & Fivetran: Proficiency with the data build tool (dbt) for data transformation and Fivetran for data integration. Cloud Platforms: Knowledge of cloud platforms such as AWS, Azure, or GCP. Certifications: Relevant certifications like Snowflake SnowPro, AWS Certified Data Analytics, or Azure Data Engineer.

Position: Workato Developer Location: Remote/Hybrid | Bengaluru, IND We're seeking a highly skilled Workato Developer to join our team. If you have deep expertise in automation, APIs, and data integration, you'll be responsible for designing, developing, and maintaining robust integration and automation solutions using the Workato platform. Your work will be crucial in streamlining business processes and enhancing system interoperability. What You'll Do: Integration Development: Design, develop, and implement seamless integrations between various systems using the Workato platform, ensuring data consistency and accuracy across all platforms. Automation: Create and manage powerful automation workflows to optimize business processes, significantly reduce manual tasks, and improve overall operational efficiency. API Management: Work with RESTful and SOAP APIs to build integrations that connect both cloud and on-premises applications, enabling smooth and efficient data exchange. Workflow Orchestration: Design and implement end-to-end workflows that span multiple systems, ensuring smooth data flow and comprehensive process automation. Data Transformation: Develop and manage complex data transformations, mappings, and logic to ensure accurate data migration and synchronization across diverse systems. Monitoring & Troubleshooting: Proactively monitor the performance of integrations and automations, identifying and resolving issues quickly to ensure continuous reliability and optimal performance. Collaboration: Work closely with business analysts, IT teams, and other stakeholders to thoroughly understand integration requirements and translate them into effective technical solutions. Documentation: Create and maintain comprehensive technical documentation for integration designs, workflows, data mappings, and any custom scripts or configurations. Continuous Improvement: Stay updated with the latest Workato features, integration patterns, and best practices. Provide valuable recommendations to enhance existing integrations and workflows. What You'll Bring: Experience: 3+ years in integration development, with at least 1-2 years of hands-on experience specifically with Workato. Workato Expertise: Strong understanding of Workato platform capabilities, including connectors, recipes, triggers, and actions. API Proficiency: Proven experience with RESTful and SOAP APIs, including API design, development, and management. Data Integration: Solid knowledge of data integration best practices, ETL processes, and data synchronization techniques. Cloud & SaaS: Familiarity with major cloud platforms (e.g., AWS, Azure, Google Cloud) and common SaaS applications (e.g., Salesforce, NetSuite, ServiceNow). Problem-Solving: Strong problem-solving skills with the ability to troubleshoot complex integration issues. Scripting: Proficiency in scripting languages (e.g., JavaScript, Python) used in automation and integration contexts. Integration Concepts: Excellent understanding of system integration concepts, including data formats (JSON, XML), messaging patterns, and error handling. Collaboration & Communication: Ability to work effectively both independently and within a collaborative team environment. Strong communication skills to translate business requirements into technical solutions. Attention to Detail: Meticulous attention to detail and a strong commitment to delivering high-quality, reliable integrations. Education: Bachelor s degree in Computer Science, Information Technology, or a related field, or equivalent practical experience. Preferred Qualifications: Certifications: Workato Automation Pro or equivalent certification. Other Platforms: Experience with other integration platforms like MuleSoft, Zapier, or Dell Boomi. Databases: Knowledge of database systems (e.g., SQL, NoSQL) and data modeling concepts. Agile Development: Familiarity with Agile development practices and tools like Jira or Confluence. Enterprise Systems: Experience in developing integrations for ERP, CRM, and other enterprise systems.

Position: Data Science Specialist Employment Type: Full-time Location: Bangalore, On-site Experience Required: 1 to 6 years (Mindset > Experience) About the Role: We re seeking a mission-driven, hands-on Data Analytics Specialist passionate about impact. This is not a typical analytics role you will drive key business metrics across clinical operations, stakeholder reporting, and automation. Collaborate closely with leadership, radiologists, operations, product teams, and AI engineers to ensure every decision is data-driven, actionable, and scalable. If you thrive on building dashboards, automating processes, streamlining pipelines, and driving growth through insights, this is your playground. Key Responsibilities: Own Business KPIs: Take full ownership of company-wide metrics, ensuring their accuracy, relevance, and actionability through stakeholder alignment. Data Engineering: Build and optimize ETL/ELT pipelines integrating data from Postgres, ClickHouse, and other sources. Dashboards & Reporting: Design and maintain intuitive dashboards (Metabase, Power BI, Tableau, Google Data Studio) that stakeholders actively use. Backend Data Transformation: Write clean, reusable code to convert raw data into actionable insights. API Development: Build and maintain internal APIs to serve analytics data to frontend and production systems. Email Automation: Develop real-time and scheduled email reports delivering dynamic insights to stakeholders. Spreadsheet Expertise: Automate and manipulate complex data in Excel/Google Sheets for detailed analysis and reporting. AI & Automation: Collaborate with AI teams to integrate predictive algorithms and automate analytics workflows. Business Acumen: Develop deep understanding of the teleradiology ecosystem clinical workflows, operations, financials, and tech platforms. Proactive Collaboration: Identify data gaps, flag inconsistencies, recommend improvements, and work closely with leadership. Required Skills: Strong Python skills for data analytics (Pandas, NumPy, FastAPI, Jupyter, etc.) Proficient in SQL (ClickHouse, PostgreSQL) with experience optimizing queries End-to-end dashboard ownership from data modeling to UI presentation Experience building or integrating APIs for analytics Advanced spreadsheet skills and formula-driven reporting Experience working with AI/ML models in applied settings (preferred) Hands-on backend data transformations, version control, and automation Familiarity with full-stack development frameworks (bonus) Bonus / Nice to Have: Exposure to dbt, Airflow, ChromaDB, Streamlit, Plotly Knowledge of data privacy, compliance, and healthcare analytics Experience building analytics platforms for SaaS or health-tech companies Mindset We re Looking For: 10x Hustler: Ready to learn fast and go the extra mile to solve problems. Obsessed with Accuracy: Data must be flawless before release. Extreme Ownership: Proactive in driving results without waiting for instructions. Fast Learner: Able to pick up new tools and concepts quickly. Business First, Code Later: Focused on impact, not just coding. Be part of India s fastest-growing teleradiology platform Direct access to leadership and real-world business impact Build game-changing analytics systems and influence strategy Gain exposure to AI, automation, product, and operations in one role Clear ramp-up roadmap and growth plan Expectations in First 3 Months: Build an end-to-end dashboard from scratch Clean up at least one messy data pipeline Automate a stakeholder email update Validate accuracy across critical business metrics Understand full-stack platform structure and propose an improvement

Position Title: Senior Data Engineer Databricks, PySpark, Cloud Platforms Location: Bengaluru Bellandur (GTP) Employment Type: Full-time Job Summary Synechron is looking for a Senior Data Engineer to join our advanced analytics team in Bengaluru. In this role, you will architect and build scalable, high-performance data pipelines that power data science, analytics, and business intelligence initiatives. You ll work with modern tools including Databricks, PySpark, and cloud data platforms, while collaborating across teams to ensure high-quality, secure, and efficient data solutions. Key Responsibilities Design, develop, and maintain large-scale, secure, and efficient data pipelines using Databricks, PySpark, and cloud-native tools. Partner with data scientists, analysts, and business stakeholders to translate requirements into robust data solutions. Integrate data from various structured, semi-structured, and streaming sources. Ensure high standards for data quality, performance optimization, security, and cost efficiency. Drive data pipeline automation, orchestration, and monitoring using tools like Airflow. Lead troubleshooting efforts, performance tuning, and enhancements of existing pipelines. Stay informed about emerging data technologies and recommend adoption where relevant. Technical Skills Core Expertise Programming: Python (expert), SQL (advanced), PySpark. Platforms: Databricks (clusters, notebooks, workflows), AWS/Azure/GCP. Data Orchestration: Apache Airflow (or similar). Data Warehousing: Snowflake (preferred), data modeling, ETL/ELT pipelines. Streaming: Kafka or other stream processing tools. DevOps: CI/CD (GitLab CI, Jenkins), version control (Git), containerization (Docker/Kubernetes preferred). Security: Familiarity with encryption, access controls, and compliance best practices. Experience 8+ years of experience in data engineering or related roles. Proven expertise in developing and deploying scalable data pipelines using Databricks, PySpark, and SQL. Hands-on experience with cloud platforms (AWS, Azure, or GCP). Strong background in data warehousing, especially with Snowflake. Exposure to real-time data processing and orchestration tools. Experience implementing CI/CD pipelines for data workflows is a plus. Daily Responsibilities Build and optimize data ingestion, transformation, and storage workflows. Collaborate with cross-functional teams to align data solutions with business objectives. Monitor, troubleshoot, and continuously improve pipeline performance. Conduct data quality checks, ensure governance and compliance standards. Contribute to technical documentation, code reviews, and team knowledge sharing. Qualifications Bachelor s or Master s degree in Computer Science, IT, or related field. Relevant certifications (e.g., Databricks Certified Data Engineer, AWS Certified Data Analytics) are preferred. Professional Competencies Strong problem-solving and analytical mindset. Effective communicator with ability to collaborate across technical and non-technical teams. Time management and prioritization skills under tight deadlines. Proactive leadership and a passion for innovation. Commitment to ethical data use and data security. Diversity & Inclusion at Synechron Synechron is committed to building an inclusive, diverse, and equitable workplace. Through our global Same Difference DEI initiative, we celebrate and support people from all backgrounds, including race, gender, sexual orientation, religion, age, disability, and more. We offer flexible work arrangements, continuous learning, internal mobility, and mentoring programs to support every employee s growth. Qualification : Bachelors or Masters degree in Computer Science, IT, or related field

Financial Data Analyst Location: Bengaluru, India Employment Type: Full-time Department: Global Operations About Commure Commure develops AI-driven healthcare technology that reduces administrative burden for providers, enabling more patient-centered care. Our solutions cover clinical documentation, revenue cycle management, patient engagement, and more serving over 250,000 clinicians nationwide and rapidly scaling. Role Overview We are seeking a Financial Data Analyst to ensure the accuracy and integrity of revenue transaction data ingested from various Electronic Health Record (EHR) systems into our financial databases. This role combines quality assurance, data analysis, and a solid grasp of healthcare revenue cycles and compliance. Key Responsibilities Data Verification: Validate revenue transactions from EHR systems against ingested data. Quality Assurance: Develop and execute test plans, document discrepancies, and track defects in data ingestion processes. Mathematical Analysis: Use mathematical techniques to confirm financial data accuracy and integrity. Process Improvement: Collaborate with development teams to enhance data ingestion workflows and QA methods. Documentation: Maintain thorough records of QA tests, data mappings, and findings; prepare reports for stakeholders. Cross-Functional Collaboration: Work with IT, finance, and operations teams to ensure consistent data quality. Compliance: Adhere to HIPAA and other relevant regulatory standards, staying current with best practices in healthcare data handling. Qualifications Bachelor s degree in Information Systems, Computer Science, Mathematics, Healthcare Informatics, or related field. Minimum 3 years of experience in quality assurance or data analysis. Familiarity with healthcare revenue cycles and compliance standards. Advanced Microsoft Excel skills (VLOOKUP, pivot tables, macros), with experience in automation and data modeling preferred. Experience with data visualization tools such as Tableau or Power BI. Strong statistical, mathematical, and analytical abilities. Proficient in SQL and comfortable working with large datasets. Experience with automated QA/testing frameworks and methodologies. Clear communicator able to convey complex data insights to varied stakeholders. Willingness to work night shifts aligned with US time zones (EST to PST). Mission-Driven: Make a tangible impact by transforming healthcare through technology. Strong Investor Support: Backed by leading investors like General Catalyst, Sequoia, and Y Combinator. Rapid Growth: Both companies have achieved 500%+ YoY growth, with ongoing Series D funding. Comprehensive Benefits: Flexible PTO, health coverage, parental leave (subject to location). Qualification : Bachelors degree in Information Systems, Computer Science, Mathematics, Healthcare Informatics, or related field.

Job Title: Business Analyst | 3-5 Years Experience | Product Management, Strategy Consulting | Bangalore, India Location: Bangalore, Karnataka, India About Goavega: Goavega is seeking a skilled Business Analyst/Product Manager with 2 to 3 years of hands-on experience in the Energy, Media, or Sports industry domains and a total of 4 to 7 years of professional experience. This role plays a key part in driving strategic consulting, business analytics, and product design execution to deliver innovative solutions that create real business value. Key Responsibilities: Strategic Planning and Vision: Define product vision, strategy, and roadmap aligned with business goals Conduct thorough market research and competitive analysis to identify growth opportunities and potential risks Collaboration and Execution: Partner with cross-functional teams including design, development, and client stakeholders to deliver impactful products Gather, document, and translate business requirements into clear technical specifications Work closely with development teams to ensure solutions meet business objectives and are delivered on time Performance Analysis and Improvement: Monitor and analyze product performance metrics to suggest improvements and enhancements Lead user acceptance testing (UAT) and ensure products meet business and customer needs Advisory and Decision Support: Prepare and present data-driven business cases to senior leaders and clients to support strategic decisions Assist in identifying new growth opportunities and defining strategic imperatives Thought Leadership and Expertise: Conduct quantitative and qualitative market and competitive research to inform product strategy Stay updated with industry trends and contribute to thought leadership and innovation initiatives Qualifications: Bachelor s degree in Engineering, Design, Computer Science, or a related field MBA or master s degree in design or product management is preferred 2+ years of experience in product management, business analysis, strategy consulting, or business analytics Strong analytical, problem-solving, and communication skills Ability to thrive in a fast-paced, dynamic work environment Preferred Skills: Knowledge of Automotive, Energy, CPG/FMCG, Mobility hubs, Media, and Sports industry landscapes Expertise in building strategies using data analytics and research methodologies Excellent ability to simplify and present complex information for diverse audiences Proactive learner with hypothesis-led problem-solving skills Familiarity with UX/UI design principles and statistical analysis methods Experience in business case development, requirement gathering, product roadmaps, and use case creation Programming knowledge in Python is a plus Open Positions: 1 Be part of a forward-thinking company driving innovation across multiple industry verticals Collaborate with cross-functional teams to create impactful, data-driven products Opportunity to grow professionally and make strategic contributions Qualification : Bachelors degree in Engineering, Design, Computer Science, or a related field

Senior Financial Data Analytics Location: Bengaluru (Rathi Legacy, Rohan Tech Park, Hoodi) Team: Finance Staff Employment: Full-Time | Hybrid About Cognite Cognite is a global SaaS leader driving industrial digital transformation with AI and data solutions like Cognite Atlas AI and Cognite Data Fusion. Recognized for innovation and impact, we serve industries such as Oil & Gas, Chemicals, Pharma, and Manufacturing. Role Overview We re looking for a data-driven FP&A Data Analyst to strengthen our financial data infrastructure, deliver impactful analytics, and support decision-making through automation and reporting. You ll collaborate across Finance, Revenue Ops, and other teams, and contribute to FP&A software implementation and management. Key Responsibilities Build and maintain a scalable, reliable financial data foundation. Develop insightful Power BI dashboards and reports to aid financial planning and forecasting. Perform deep-dive analyses on financial trends and business drivers. Automate reporting processes and streamline data workflows. Collaborate with FP&A, Accounting, and BI teams to align insights with business goals. Support FP&A software selection, implementation, and ongoing management. Handle ad-hoc data requests, financial modeling, and scenario planning. Your Profile Bachelor s degree in Finance, Accounting, Economics, Data Science, or related (Master s/MBA preferred). 5 8 years of FP&A, data modeling, and financial reporting experience. Strong skills in Power BI (or Tableau), advanced SQL, and financial modeling. Experience automating reporting and managing FP&A tools. Familiarity with ERP/financial systems (e.g., NetSuite). Detail-oriented, analytical thinker with excellent communication and collaboration skills. SaaS/technology industry experience and project management skills are a plus. Inclusive culture with 70+ nationalities and strong DEI focus. Modern, collaborative office in Bengaluru with hybrid work options. Flat organizational structure with direct access to decision-makers. Opportunity to work on impactful projects alongside top industry talent. Engage in Cognite community events and contribute to innovative digital transformation efforts. Excited to help shape the future of financial analytics at Cognite? Apply now! Qualification : Bachelors degree in Finance, Accounting, Economics, Data Science, or related (Masters/MBA preferred).

Job Title: Operations Analyst Location: Bengaluru, India Company: ShopUp About ShopUp ShopUp is Bangladesh s leading full-stack B2B commerce platform for small businesses. With a mission to empower underserved retailers through technology, logistics, and financial services, ShopUp builds end-to-end infrastructure to solve core supply chain problems. Our India-based tech and data teams play a critical role in scaling intelligent, data-driven solutions across our platform. Role Overview We are looking for a performance-driven Operations Analyst to join our Bengaluru team. The ideal candidate will have a strong foundation in data analytics, a clear understanding of B2B commerce and logistics models, and the ability to drive cross-functional collaboration using insights derived from operational metrics. Key Responsibilities Analyze end-to-end operational data to identify bottlenecks, inefficiencies, and opportunities for optimization. Define and monitor operational KPIs; create dashboards that track performance across functions and geographies. Collaborate closely with finance, business, and tech/product teams to align operations with strategic business goals. Quantify the financial impact of inefficiencies and support data-driven decision-making for process improvements. Partner with product and operations teams to develop and refine SOPs to streamline workflows. Support the execution and tracking of operational enhancement projects through data and insights. Prepare regular performance dashboards and reports for senior leadership and key stakeholders. Qualifications Education: Bachelor s degree in Engineering, Data Science, Economics, or a related field. Experience: 3 5 years of relevant experience in operations, logistics, or business analysis, preferably in a B2B commerce or supply chain-focused organization. Key Skills Strong data analysis and problem-solving skills; ability to perform root cause analysis (RCA) and recommend actionable solutions. Proficiency in SQL (MS SQL, PostgreSQL, or MongoDB) for advanced queries and data extraction. Expertise in Excel/Google Sheets with experience in complex data modeling. Experience with BI and dashboarding tools (e.g., Power BI, Tableau, Looker Studio). Working knowledge of Python, R, or Go for data manipulation is a plus. Familiarity with ERP/CRM workflows and systems. Experience with project management tools (e.g., JIRA, Trello, Asana). Strong interpersonal and communication skills, with an ability to work cross-functionally and present insights to non-technical stakeholders. Be part of a fast-growing tech-first company solving real-world problems in emerging markets. Work alongside a talented and mission-driven team across India and Bangladesh. Enjoy a collaborative work culture with autonomy, growth opportunities, and continuous learning.

Subsurface AI Specialist Location: Bengaluru, India Company: Chevron Experience: 5+ Years Focus Areas: AI, Machine Learning, Subsurface Data Analysis, Oil & Gas Position Overview The Subsurface AI Specialist will design and implement AI solutions using advanced analytics, modeling, and machine learning to optimize subsurface exploration and production. This role enhances decision-making, automates workflows, and improves resource extraction processes. Key Responsibilities Design and implement AI solutions for subsurface exploration and production. Identify AI opportunities to improve decision-making and automate workflows. Collaborate with Chevron subsurface practitioners and IT teams to deploy innovative AI solutions. Communicate AI value propositions to stakeholders. Ensure ethical AI usage and compliance with data privacy regulations. Analyze and interpret subsurface data to support resource management and decision-making. Key Skills & Qualifications Bachelor s or Master s degree in Geosciences, Petroleum Engineering, Computer Science, or related field. Minimum 5 years of hands-on experience in AI solution development for complex business problems. Knowledge of the oil and gas value chain (upstream, midstream, downstream). Strong background in machine learning, data science, and AI technologies. Proficiency in programming languages such as Python, C++, and cloud AI/ML services like Azure and Databricks. Preferred Qualifications Experience with Agentic AI. Benefits Competitive salary and benefits package Health, dental, and vision insurance Retirement savings plan Paid time off, including vacation and sick leave Opportunities for professional development Apply Now If you are passionate about AI and innovation in the energy sector, apply today to join Chevron's Subsurface team! Equal Opportunity Statement Chevron is an equal opportunity employer, committed to diversity and inclusion in the workplace. Qualification : Bachelors or Masters degree in Geosciences, Petroleum Engineering, Computer Science, or related field.

Senior Manager Business Intelligence | Power BI | Data Strategy | SQL | Bangalore Location: Bangalore, India Reports To: Director, Business Analytics & Insights Experience: 8+ years in Business Intelligence / Analytics Leadership Industry: SaaS | Revenue Lifecycle Management | Data & Analytics About Conga: At Conga, we empower businesses to achieve transformational revenue growth by aligning teams, technology, and processes through our comprehensive Revenue Lifecycle Management solutions. We simplify complexity across contract management, order execution, fulfillment, and renewals using a unified data model built to adapt to dynamic business needs. Our culture is defined by the Conga Way a people-first framework developed with input from employees that guides everything we do from hiring to leadership to innovation. Role Overview Senior Manager, Business Intelligence: We are seeking a highly driven Senior Manager Business Intelligence to lead our Power BI development team, drive analytics strategy, and modernize how we deliver data insights across the organization. Based in Bangalore, this high-impact leadership role is responsible for building scalable reporting infrastructure, streamlining automation, and delivering clear, actionable insights for senior stakeholders and executive decision-makers. Why this role matters: This position plays a critical role in transforming business intelligence from manual reporting to dynamic, real-time dashboards using Power BI. Your contributions will shape how our business leaders consume data, identify opportunities, and make informed decisions faster and with more accuracy. Key Responsibilities: Leadership & Oversight: Manage and mentor a team of Power BI developers and data analysts, guiding prioritization, best practices, and technical problem-solving. Foster a culture of data-driven decision-making across the organization. BI Development & Data Modeling: Lead the development of interactive Power BI dashboards, leveraging advanced DAX functions and data models. Utilize SQL (preferably in Snowflake) to support backend data transformation and reporting. Stakeholder & Project Management: Collaborate with cross-functional teams, including IT and enterprise analytics, to define project scopes, business priorities, and reporting solutions. Translate ambiguous business requirements into clear, actionable technical specifications. Data Governance & Documentation: Implement and oversee data quality, security, and governance standards across all BI assets. Maintain comprehensive documentation for BI tools, data models, and business logic. Automation & Process Efficiency: Oversee automation of recurring deliverables including board reports, senior leadership dashboards, and key business performance metrics. Leverage Power Automate and other workflow tools to reduce manual effort and enhance reporting accuracy. Strategic Data Integration: Partner with enterprise data teams to improve data integration and ensure scalability and reusability of analytics assets. Qualifications: 8+ years of experience in Business Intelligence, Analytics, or Data Strategy, including team leadership. Strong hands-on experience with Power BI, DAX, and SQL (preferably with Snowflake or similar cloud platforms). Proven success in project management, requirement gathering, and stakeholder engagement across multiple business units. Bachelor s or Master s degree in Engineering, Computer Science, or related technical field. An MBA is strongly preferred. Experience in data governance, automation, and working in a SaaS or enterprise software environment is a plus. What Sets You Apart: Excellent communicator You bridge the gap between technical and non-technical stakeholders with ease. Strategic mindset You think beyond dashboards to the big picture of business impact. Problem solver You enjoy tackling complex data challenges and finding innovative solutions. Passionate leader You inspire teams, drive accountability, and bring a growth mindset to everything you do. Drive data transformation at a high-impact SaaS company. Be part of a people-first culture that values growth, innovation, and inclusivity. Work on mission-critical projects that support strategic decision-making for global leadership. Qualification : Bachelors or Masters degree in Engineering, Computer Science, or related technical field. An MBA is strongly preferred.

Data Engineer (Python/Dataiku/Spark/SAS DI) Location: Bangalore Type of Employment: Full-Time Experience Required: 3 to 5 years Job Overview: We are looking for a passionate Data Engineer with expertise in Python, Dataiku, Spark, or SAS DI to join our dynamic team. In this role, you will collaborate with clients to build data pipelines that support their Data and Analytics journey. As a member of our team, you will be responsible for driving data engineering initiatives, developing and implementing ETL solutions, and optimizing data workflows for efficiency and scalability. Key Responsibilities: Data Engineering Initiatives: Collaborate with clients to define and implement data engineering initiatives based on business needs. ETL Development: Design and develop data integration solutions using tools like Python, Dataiku, Spark, and SAS DI. Develop and maintain automated data pipelines for real-time and batch data ingestions. Performance Tuning: Conduct performance tuning and optimize queries and data models to enhance performance and scalability. Database Design: Design and implement database objects such as tables, views, schemas, and stored procedures. Ensure data quality and consistency across the data warehouse. Collaboration: Work closely with cross-functional teams to translate business requirements into technical solutions and communicate effectively with clients across multiple regions. Troubleshooting: Troubleshoot and resolve data-related issues while ensuring the quality and integrity of the data. Project & Technical Leadership: Act as the technical lead or single point of contact (SPOC) for the client and internal teams, ensuring smooth project delivery. Essential Skills: Data Engineering Tools: Experience with Python, Dataiku, Spark, and SAS DI. SQL Proficiency: Strong SQL experience for extracting data from various databases and performing data analysis. ETL Development: Expertise in designing and developing ETL processes to integrate data from diverse sources into a data mart layer. Data Modeling: Understanding of data modeling concepts, including relational and dimensional modeling. BI Knowledge: Basic understanding of Business Intelligence (BI) tools and analytics needs. Communication Skills: Excellent communication skills to understand business requirements and translate them into technical solutions. Desirable Skills: Data Analysis: Strong analytical skills to perform data analysis, especially for banking products data. BI Tools: Experience with MicroStrategy or Power BI for reporting and dashboarding. Qualifications: 3+ years of experience designing and developing scalable data integration solutions. Familiarity with data analytics and reporting needs. Technical certifications that align with your continuous learning aspirations. Qualities: Strong problem-solving skills with a systematic approach to resolving issues. Ability to influence and implement change confidently. Excellent team player who works effectively in cross-functional teams. Strong communication and presentation skills, capable of interacting with clients and presenting ideas persuasively. Fluent in English, both written and spoken, for effective communication. Opportunity to work with cutting-edge data engineering tools and technologies. Be a key player in building and optimizing data pipelines for clients data and analytics needs. Competitive salary, benefits, and a dynamic, innovative work culture.

Position: Talend Data Engineer Location: Bangalore, India Employment Type: Full-time Experience Required: 4 to 9 years Purpose of the Position: As a Talend Data Engineer, you will be responsible for designing, developing, and managing scalable ETL/ELT data pipelines both on-premise and in the cloud. You will work with technologies such as Talend Suite, Snowflake, and reporting tools to support high-impact data integration and business intelligence initiatives. Key Responsibilities: ETL/ELT Development: Design, develop, and deploy ETL/ELT workflows using Talend Data Integration and Talend Cloud. Data Transformation: Apply stored procedures for accurate and structured data processing. Reporting: Build reports using MicroStrategy and Power BI to support decision-making. Documentation: Maintain detailed documentation for pipelines, configurations, and processes to ensure data integrity and quality. Performance Monitoring: Monitor and optimize data pipelines, resolving data-related issues swiftly. Essential Skills: Hands-on experience with Talend Suite (Talend Data Integration, Talend Cloud). Strong skills in Snowflake and writing Stored Procedures. Expertise in ETL/ELT processes, data warehousing, and data modeling. Familiarity with data quality frameworks and job scheduling tools. Proficient in handling data formats like JSON, XML, CSV, and Parquet. Knowledge of Agile methodologies and tools such as JIRA. Desirable Skills: Experience with BI tools like MicroStrategy and Power BI. Proficiency in scripting languages such as Python, Java, or Shell scripting. Familiarity with cloud platforms (AWS, Google Cloud, Azure) and cloud-based data services. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or related field. 6+ years of relevant experience with Talend and data engineering projects. Key Qualities: Strong consulting, writing, and presentation skills. Self-organized and collaborative in cross-functional teams. Open to feedback and iterative improvement. Effective communicator with clients across geographies. Analytical mindset with a research-oriented approach. Apply now and become part of a high-performing team delivering scalable data solutions across industries! Qualification : Bachelor's or Master's degree in Computer Science, Engineering, or related field.

Position: Data Integration Developer (Snowflake & DBT) Location: Bangalore Employment Type: Full-time Experience Required: 5 to 7 years Purpose of the Position: This role seeks candidates who are passionate about data and motivated to address the organization's analytics challenges. As a Data Integration Developer (Snowflake & DBT), you will play a crucial role in assisting our clients with their data and analytics journey. Your responsibilities will include building robust data pipelines, enhancing data consistency, and developing the necessary infrastructure to support analytics platforms. Key Responsibilities: Technical Expertise: Develop and optimize ETL processes using Snowflake capabilities. Build and maintain advanced data models and ETL processes using DBT (Data Build Tool). Ensure efficient data transformation and integration within the data warehouse. Collaboration: Work closely with data analysts, engineers, and stakeholders to understand business requirements and translate them into technical solutions. Facilitate effective communication and collaboration across teams. Quality Assurance: Implement and oversee data quality checks and testing procedures. Ensure data accuracy, consistency, and compliance with governance policies. Documentation and Reporting: Create and maintain comprehensive documentation for ETL processes and project workflows. Provide regular updates and reports on project progress and performance metrics. Compliance and Security: Ensure all data engineering activities comply with data governance and security policies. Implement measures to protect data integrity and confidentiality. Essential Skills: Proficient in SQL: Skilled in writing efficient queries on large datasets, including CTE and database table design. Snowflake Expertise: Experience with Snowflake or other database technologies, including SQL tuning. ETL Development: Skilled in developing and optimizing ETL processes using Snowflake and other tools. DBT Experience: Familiar with DBT Core/DBT Cloud and fundamental data modeling concepts (3NF, Star, Snowflake). Data Analysis and Profiling: Experienced in data analysis and profiling tasks. Qualifications: Overall Work Experience: More than 5 years of experience, with at least 2-3 years of experience in Snowflake and DBT. Education: Bachelor's degree in Computer Science, Engineering, or a related field (Master's degree is a plus). Key Qualities: Decision Making: Ability to influence and implement change with confidence and sound decisions. Problem-Solving: Tackles problems head-on with a logical, systematic, and practical approach; follows up with developers. Communication: Ability to consult, write, and present persuasively. Team Collaboration: Works effectively in self-organized, cross-functional teams. Apply now and become an integral part of our innovative team working on cutting-edge data integration solutions! Qualification : Bachelor's degree in Computer Science, Engineering, or a related field (Master's degree is a plus).

Job Title: Data Analyst Location: Bengaluru Company: LoadShare Networks About LoadShare Networks At LoadShare, we re building India s largest intra-city logistics marketplace. Founded in 2017, we are a Series C startup backed by a strong set of investors (Tiger Global, Matrix Partners, BII, Stellaris, BeeNext, Filter Capital), focused on building a profitable and impactful business. We work with all major enterprise clients covering a wide range of intra-city use cases, including: Quick Commerce: Blinkit, Zepto, BBNow Food Delivery: Swiggy, Zomato Hyperlocal: Apollo, Licious Grocery: Reliance, Spencers, ONDC eCommerce: Flipkart, Amazon, Meesho, ShipRocket Bike Taxi: Uber, Ola Scale & Reach: Delivering over 500K orders per day across food, e-commerce, grocery, etc. Operating in 500+ towns nationwide with a fleet of 20K+ riders. Our tech platform powers 1M+ shipments daily. Role Overview As a Data Analyst at LoadShare, you will be an integral part of our Data team, responsible for designing, developing, and maintaining analytics reports and dashboards that measure, monitor, and alert the business regarding operations and product metrics. You ll work closely with internal teams to troubleshoot data issues, build ETL pipelines, and contribute to process improvements and innovation. Key Responsibilities Analyze, design, and develop analytics reports and dashboards to track key business metrics, providing insights into operational performance. Use your strong SQL skills to troubleshoot data issues in complex workflows and work with product and tech teams to resolve them. Build and maintain ETL pipelines to support data movement and integration across systems. Create ad-hoc reports as requested, ensuring timely and accurate delivery. Present findings and actionable recommendations to both business and non-technical stakeholders using effective storytelling techniques. Collaborate with product, business, and tech teams to understand the business domain and deliver insightful reports and dashboards that support business growth and optimization. Continuously improve data models, ensuring data is accessible and accurate for decision-making across the organization. Work on in-house technology projects to bring innovation and process improvements. Job Requirements Technical Skills: Strong proficiency in SQL and experience with writing and tuning SQL scripts. Around 1-2 years of experience coding in Python (experience in web scraping is a plus). Experience in data modeling, data warehousing, and building ETL pipelines. Familiarity with Business Intelligence (BI) tools such as Zoho Analytics, Metabase, Redash, Tableau, or Power BI. Collaboration: Ability to partner effectively with product, business, and tech teams to understand the business needs and develop reports and dashboards that support business growth. Communication: Strong communication skills, both written and verbal, with the ability to present complex data and insights to both technical and non-technical stakeholders. Problem-Solving: Proactive in identifying data issues, troubleshooting, and providing solutions that improve data integrity and usability. Key Skills SQL, Python, ETL Pipelines Data Modeling, Data Warehousing BI Tools: Zoho Analytics, Metabase, Redash, Tableau, Power BI Data Analysis & Reporting Communication & Collaboration

Job Title: Data Engineer Location: Bengaluru, Karnataka Experience: 5 to 8 Years Work Modality: Full-time (Work from office) Job Description: We are looking for an experienced Data Engineer to join our team and take responsibility for designing, developing, and maintaining scalable ETL/ELT pipelines. This is a full-time position based in Bengaluru, Karnataka, and you will be collaborating with cross-functional teams to define data requirements and ensure data accuracy, consistency, and integrity. Your role will also involve optimizing data workflows, automating processes, and ensuring high availability and reliability of data pipelines. Key Responsibilities: ETL/ELT Pipeline Development: Design, develop, and maintain scalable ETL/ELT pipelines to support data transformation and integration processes. Data Warehouse & Data Lake Optimization: Build and optimize data warehouses, data lakes, and real-time streaming solutions to support large-scale data operations. Collaboration & Data Requirements: Collaborate with cross-functional teams, such as product, data science, and analytics teams, to define data requirements and ensure data accuracy and consistency. Database Structure & Schema Management: Develop and maintain database structures and schemas to ensure efficient data storage and retrieval. Data Workflow Optimization: Optimize data workflows for performance, reliability, and scalability, ensuring the highest level of efficiency. Data Security & Compliance: Implement data security, governance, and compliance best practices to ensure that data is handled securely and meets industry standards. Pipeline Monitoring & Troubleshooting: Monitor, troubleshoot, and improve data pipelines to ensure uptime, reliability, and smooth data processing. Process Automation: Automate data-related processes to improve efficiency and reduce manual intervention, increasing the overall speed of data flow. Required Qualifications: Experience: 5+ years of experience in data engineering or 3-4 years of experience as a Data Engineer. Technical Skills: Strong proficiency in SQL and database management systems such as PostgreSQL, MySQL, SQL Server, etc. Experience with ETL tools such as Pentaho, Talend, Cdata, and SSIS. Exposure to Python, Java, or Scala for data processing is a plus. Experience with big data technologies such as Apache Spark, Hadoop, or Kafka. Familiarity with cloud services (AWS, Azure) and data storage solutions such as S3, Redshift, Snowflake, or BigQuery. Strong knowledge of data modeling, warehousing concepts, and data architecture best practices. Soft Skills: Excellent communication skills with the ability to collaborate effectively across teams. Strong problem-solving skills and the ability to work with large, complex datasets. What We Offer: Competitive Salary: Attractive salary based on experience and expertise. Collaborative Work Environment: Work in a dynamic and fast-paced environment with a team that fosters innovation and collaboration. Growth Opportunities: Opportunities to enhance your skills and career growth in the data engineering field. Comprehensive Benefits: Benefits package designed to support work-life balance and overall employee well-being.

Job Title: Data Scientist Location: Bengaluru Experience: 4+ Years About Linarc: Linarc is revolutionizing the construction industry. As the emerging leader in construction technology, we are redefining how projects are planned, executed, and delivered. Built for general contractors, construction managers, and trade partners, Linarc offers a next-generation platform that delivers unmatched collaboration, automation, and real-time intelligence to construction projects. Our mission is to eliminate inefficiencies, streamline workflows, and drive profitability, empowering teams to deliver projects faster, smarter, and with greater control. Join us in shaping the future of construction tech. If you thrive in a dynamic, fast-growing environment and want to make a significant impact, Linarc is the place for you. This is a full-time position based in Bengaluru. Roles and Responsibilities: Data Analysis & Modeling: Develop and implement machine learning models to address complex business problems. Build predictive models and algorithms to forecast customer behavior, product usage, and business outcomes. Conduct statistical analysis and hypothesis testing to uncover key insights and trends. Data Engineering & Processing: Clean, preprocess, and transform large-scale datasets from multiple sources. Design and optimize data pipelines for both real-time and batch processing. Business Insights & Reporting: Collaborate with business teams to define key performance indicators (KPIs). Develop dashboards and reports to effectively communicate findings and business performance. Present actionable insights and recommendations to stakeholders and leadership teams. Product Improvement: Partner with product managers to integrate data-driven insights into product features. Monitor model performance and continuously improve accuracy and scalability. Run A/B tests to evaluate the impact of product changes and optimize user experience. Research & Development: Stay updated with the latest developments in machine learning, artificial intelligence, and data science. Explore and implement new techniques and tools to drive innovative solutions and improve outcomes. Qualifications: Minimum Experience: 3 years of professional experience in Data Analytics, Data Science, AI, or Machine Learning. Technical Expertise: Deep analytical expertise in applying statistical solutions to business problems. Experience with exploratory data analysis of large datasets using tools like SQL, Hive, Spark, or similar. Proficiency in machine learning and deep learning tools such as Scikit-learn, TensorFlow, PyTorch, and familiarity with techniques like Neural Networks, Gradient Boosting, Logistic Regression, Decision Trees, Random Forests, Support Vector Machines, Clustering, etc. Experience working with visualization tools such as Tableau and Power BI. Business & Innovation: Demonstrated ability to innovate solutions and solve business problems using data science techniques. Desirable Additional Experience: 4+ years of experience in data science or machine learning in a product-focused environment. Experience working with relational or document databases. Proficiency in C, Python, PyTorch, Java, JavaScript, Node.js, React.js, or Vue.js. Strong knowledge of hypothesis testing and regression analysis. Experience in a SaaS product environment. Educational Qualifications: Bachelor s/Master s degree in Computer Science, Data Science, Mathematics, Statistics, or a related field.