Mathematical Modelling Jobs in Bengaluru

Business Finance Location: Bengaluru Department: Finance Employment Type: Full-Time About Dozee Dozee Health AI is a pioneer in AI-powered, contactless Remote Patient Monitoring (RPM) and Early Warning Systems (EWS). Headquartered in Bengaluru, Dozee is India s #1 RPM company, transforming healthcare delivery at scale. Trusted by leading healthcare providers across India, the USA, and Africa, Dozee s solutions continuously monitor patients, detect early signs of clinical deterioration, and enable timely interventions. Role Overview We are looking for a high-impact Business Finance professional to partner closely with business leaders and drive financial discipline, strategic decision-making, and sustainable growth. This role offers a unique opportunity to work at the intersection of finance, strategy, and healthcare innovation in a fast-growing AI health-tech company. Key Responsibilities Business Partnership & Strategic Decision Support Partner with Sales, Operations, and cross-functional teams to drive commercial success and financial discipline. Lead pricing strategy, customer-level profitability analysis, and financial modelling for new products and services. Evaluate business cases for expansion, partnerships, and large strategic deals. Participate in strategic discussions, providing financial insights and risk assessment. FP&A, Budgeting & Reporting Lead the annual operating plan and rolling forecasts in collaboration with functional leaders. Track performance against budgets, prepare variance analysis, and identify risks. Own monthly and quarterly management reporting, including key financial and operational KPIs. Revenue & Cost Optimisation Monitor and improve gross margins, unit economics, and CAC/LTV metrics. Drive initiatives to optimize costs, improve working capital, and support EBITDA targets. Identify opportunities for automation and process improvements in tracking. Requirements Experience & Qualifications 2 4 years of relevant experience in Business Finance, FP&A, or Commercial Finance. CA (Qualified/Semi-qualified), MBA, or CFA preferred. Skills Strong analytical, financial modelling, and stakeholder management skills. Proficiency in Excel, Google Sheets, and BI tools. Experience with pricing and margin analysis in a SaaS or recurring revenue environment is a plus. Personal Attributes Business-oriented, proactive, and detail-focused. Comfortable working in a fast-paced, evolving environment. Why Join Dozee Be part of a mission-driven company transforming healthcare with AI. Opportunity to influence strategic decisions in a high-growth Series A+ organization. Collaborative culture with a strong focus on innovation and impact. Qualification : CA (Qualified/Semi-qualified), MBA, or CFA preferred

Job Title: Sr. Data Science Engineer Location: Bangalore Experience: 5 8+ Years Job Description As a Senior Data Science Engineer, you will develop and maintain scalable data pipelines and manage API integrations to support growing data volume and complexity. You will play a key role in ensuring data quality and enabling accurate AI model development through effective data handling and automation. Responsibilities Monitor data quality and implement processes for data cleansing and validation. Analyze data to troubleshoot and resolve data-related issues promptly. Develop automation workflows for efficient data labeling, preparation, and augmentation to improve AI model accuracy and utility. Requirements Proven experience as a Data Scientist, Data Analyst, or related role, with experience in data mining. Strong proficiency in data manipulation using Python or R; familiarity with Scala, Java, or C++ for raw data processing is a plus. Experience with business intelligence tools (e.g., Tableau) and big data frameworks like Hadoop and Spark. Strong mathematical foundation, especially in statistics and algebra. Advanced SQL skills with experience in database development, data migration, and integration. Expertise in exploratory data analysis and familiarity with common data science toolkits. Ability to communicate complex data insights clearly and effectively to non-technical stakeholders. Familiarity with data management tools and experience applying machine learning and AI techniques.

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

Job Title: Senior Data Business Partner Location: Bengaluru Department: Data & Analytics Experience: Senior-level Company: OSB India (Offshore subsidiary of OSB Group) About OSB India: OSB India (OSBI) is a wholly owned offshore subsidiary of OSB Group, a leading UK financial services provider. Established in 2004, OSBI delivers exceptional customer support and operational services to the Group s UK brands. Known for driving process excellence, innovation, and functional efficiencies, OSBI is a key strategic arm supporting the Group s long-term goals. Role Overview: We are looking for a Senior Data Business Partner to bridge the gap between business and data analytics. In this role, you will collaborate with business leaders to identify analytical needs, design data-driven solutions, and drive adoption of data across the organization. This is a high-impact role requiring strong analytical acumen, stakeholder management skills, and a passion for delivering insights that support strategic decision-making. Key Responsibilities: Build trusted relationships with business stakeholders to understand their data needs and priorities. Collaborate cross-functionally to translate complex business challenges into data solutions. Lead in-depth analysis using market-standard algorithms and modelling techniques. Ensure adherence to Data Governance standards, policies, and controls. Deliver timely, accurate, and well-documented data content and insights. Advise on analytics delivery planning across projects and business functions. Enable self-service analytics by training business users on available tools and platforms. Advocate and implement innovations in AI, Machine Learning, and data analytics. Partner with Data Engineering and Architecture teams, ensuring adherence to technical standards and best practices. Present findings and strategic insights to senior management and governance forums. Mentor team members on analytical approaches and best practices. Promote a culture of continuous improvement, innovation, and high-quality data usage. Champion the use of central data repositories, relational models, and the Data Warehouse to deliver consistent and reliable BI outputs. Identify risks related to data or projects and escalate when necessary. Support internal training efforts to improve data literacy across departments. Ensure compliance with Risk Management and Data Governance policies. Stay current on industry trends, tools, and technologies to enhance analytics capability. Candidate Profile: Qualifications: Bachelor s or Master s degree in Data Science, Computer Science, Business Analytics, Statistics, or a related field. Certifications in data analytics, data science, or relevant tools/platforms are a plus. Experience: 6+ years in a business-facing data analytics role, ideally within financial services or technology. Strong experience in data analysis, modelling, and data storytelling. Proven ability to work with senior business stakeholders and executive teams. Experience in mentoring and leading analytics professionals. Demonstrated expertise in translating business needs into actionable insights. Technical Skills: Proficiency in tools such as Power BI, Tableau, SQL, Python/R, or Excel for data analysis. Familiarity with data warehousing, ETL processes, and relational databases. Understanding of data governance, risk, and compliance frameworks. Exposure to AI/ML applications in business contexts is a strong advantage. Behavioral Competencies: Excellent communication and presentation skills. Strong business acumen with the ability to drive value from data. Strategic thinking with a problem-solving mindset. Collaborative, adaptable, and proactive. At OSBI, we believe in empowering individuals to grow both personally and professionally. Whether you re early in your career or a seasoned expert, we provide an inclusive and supportive environment to help you thrive. Be a part of a connected organization where your contributions make a difference and your career is a journey, not a destination. Qualification : Bachelors or Masters degree in Data Science, Computer Science, Business Analytics, Statistics, or a related field

Assistant Risk Modelling Manager Location: Bengaluru Department: Risk & Modelling About OneSavings Bank (OSB) Group OneSavings Bank (OSB) Group is a specialist lending and retail savings group listed on the London Stock Exchange and a member of the FTSE 250. Headquartered in Chatham, Kent, OSB is regulated by the Prudential Regulation Authority and the Financial Conduct Authority. OSB focuses on niche lending markets offering high growth and strong risk-adjusted returns, including: Buy-to-Let and commercial mortgages Residential development finance Specialist residential lending and secured funding lines We operate under trusted brands such as Kent Reliance, CCFS, InterBay Commercial, Prestige Finance, and Heritable Development Finance. Retail savings are primarily sourced through Kent Reliance via branches, online, and postal channels. Our offshore delivery and support operations are handled by OSB India, with offices in Bengaluru and Hyderabad. About OSB India Pvt Ltd OSB India, a wholly owned subsidiary of OSB Group, plays a critical role in delivering operational and customer support services. Since 2004, OSB India has focused on service excellence, process efficiency, and continuous improvement for the group s UK operations. Role Overview As the Assistant Risk Modelling Manager, you will support capital and impairment reporting, provide deep data insights, and contribute to strategic projects. This role involves analysis, stakeholder collaboration, and ensuring regulatory and internal compliance. Key Responsibilities Lead and support monthly IFRS9 impairment and IRB RWA reporting with trend analysis and insights Provide analytics to support collections and help define operational priorities Drive and deliver strategic projects, managing timelines and stakeholders Assist with IFRS9 engine code changes, conduct impact assessments, and challenge trends Identify process and model weaknesses and develop mitigating solutions Produce clear, insightful commentary for credit and audit committees, including regulatory teams Ensure compliance with model execution and operational risk requirements Maintain adherence to Finance, Risk Management, and Data Governance Policies Build strong working relationships with UK stakeholders and capture clear requirements Complete all mandatory compliance training and attestations Experience Required Minimum 7+ years in a related role in retail or mortgage finance Extensive hands-on experience in SAS, SQL, and advanced Excel Proven ability to generate and present detailed analytical and reporting outputs Experience with impairment/capital modelling processes (preferred) Comfortable managing priorities, leading tasks, and collaborating with international teams Technical & Functional Skills Expert in SAS and SQL for data analysis and reporting Working knowledge of IFRS9 (impairment) or IRB (capital) frameworks Understanding of probability/statistics in a financial risk context (preferred) Core Competencies Strong analytical thinking and problem-solving skills Effective communication skills, both written and verbal Ability to deliver clear, actionable reports to senior stakeholders Self-motivated with a proven ability to learn new technical skills and tools This role is an exciting opportunity to work at the intersection of data, risk, and strategy within a dynamic and growing financial group. If you have a strong analytical mindset and are looking to influence real business decisions, we'd love to hear from you.

Position: Manager FMRTS CT Location: Bengaluru Experience Required: 5 10 years Department: Operations About the Role: We are seeking a highly analytical and results-driven Manager FMRTS CT to lead key operational excellence initiatives across sort centers in the West region. This role focuses on improving throughput, optimizing workflows, and ensuring process adherence across the end-to-end supply chain. The ideal candidate should possess strong cross-functional leadership, data-driven decision-making, and project management skills. Key Responsibilities: Increase core Throughput Per Hour (TPH) in sort centers through layout standardization and implementation of Zone-Based Palletization (ZBP). Develop and apply mathematical models to optimize load balancing across belts, reducing defects and improving productivity. Own and drive compliance programs such as signage standardization, WIKI documentation, Guard Shack (GS) protocols, and Grace Time Truck Departure (GTTD). Analyze and improve sort center quality metrics; conduct deep dives for underperforming sites and collaborate with cross-functional teams (Operations, Linehaul, Analytics, Safety & Loss Prevention) to meet performance targets. Build and maintain a sortation path planning tool to ensure Long-Term Planning (LTP) is adhered to at the site level. Conduct Time & Motion studies to identify and eliminate non-value-adding activities, improving overall package throughput time. Partner with teams across Category Sourcing, Logistics, Warehousing, Last Mile, Finance, Tech, Warranty, and After-Sales (AFS) to ensure seamless process execution from procurement through to delivery. Address daily operational challenges and strategic issues by working closely with leadership teams across business functions. Lead and manage cross-functional project teams, set milestones, and ensure timely execution of Supply Chain Excellence initiatives. Establish data-driven process controls, tooling requirements, and audit mechanisms to ensure consistent process adherence. Drive adoption of new tools and operational playbooks, ensuring governance, compliance, and best practice implementation. Assess business and technical risks, manage escalations, and maintain a balance between operational needs and technical constraints. Investigate complex sourcing and supply chain challenges, design scalable solutions, and collaborate with engineering and stakeholder teams for implementation. Leverage analytics and technology to lead cross-functional coordination, resolve operational bottlenecks, and drive continuous improvement. What You Bring: 5 10 years of experience in operations, supply chain, or logistics, preferably within e-commerce or high-volume distribution environments. Proven experience in process optimization, data modeling, and performance analysis. Strong knowledge of warehouse/sort center operations and tooling systems. Demonstrated ability to manage cross-functional teams and deliver complex projects end-to-end. Excellent problem-solving, communication, and stakeholder management skills. Proficiency in data analysis tools and methodologies is a strong plus.

Position: Data Scientist (AI/ML Expert) Location: Pritech Park SEZ, Block 09, 4th Floor B Wing, Survey No. 51 to 64/4, Outer Ring Road, Bellandur V, Bangalore, Karnataka, India Department: Advanced Analytics Employment Type: Subexian Experience Required: 1 to 3 years Job Overview: We are looking for a talented Data Scientist with expertise in AI/ML to join our Advanced Analytics team. As a key contributor, you ll design, develop, and validate predictive models, recommendation systems, and forecasting solutions, while also collaborating with cross-functional teams to deliver cutting-edge solutions using the latest technologies. Key Responsibilities: Model Development: Design, develop, and validate predictive models, recommendation systems, and forecasting solutions using a mix of statistical, machine learning, and deep learning techniques. You will work both independently and as part of a collaborative team. Data Visualization & Reporting: Communicate actionable insights effectively through compelling dashboards, reports, and visualizations using tools such as Superset, Power BI, and Python libraries (Matplotlib, Seaborn, Plotly). AI & Tech Solutions: Collaborate with teams to design and deliver flexible, scalable solutions using advanced technologies such as AI and large language models (LLMs). API Development: Develop and integrate REST APIs and frameworks such as Flask or FastAPI for seamless deployment of machine learning models. Documentation: Maintain clear, comprehensive documentation for data workflows, model development, and analytical methodologies to ensure knowledge sharing and transparency across teams. Continuous Learning: Stay up-to-date with the latest trends and advancements in data science, algorithms, and technologies, ensuring your skills and knowledge remain cutting-edge. Required Technical Skills: Python Proficiency: Strong experience with Python and libraries like Scikit-learn, TensorFlow/PyTorch, and data visualization libraries (Matplotlib, Seaborn, Plotly). SQL: Solid hands-on experience in SQL for efficient data querying. ML Ops & Pipelines: Understanding of machine learning operations (ML Ops) and ML pipelines for streamlined model deployment. Cloud & Distributed Computing: Exposure to cloud platforms such as AWS, Azure, or GCP and distributed computing tools like Hadoop, Spark, or Pyspark is a plus. Soft Skills: Effective Communication: Strong ability to communicate complex analytical findings in a clear and engaging manner, tailoring insights for both technical and non-technical audiences. Problem-Solving: A proactive problem-solver with the ability to adapt and thrive in a fast-paced, dynamic environment. Continuous Growth: Self-motivated, curious, and always seeking opportunities for professional growth and learning. At Subex, we encourage a collaborative, innovative, and growth-driven work environment. If you're passionate about applying data science techniques to real-world challenges and want to work with cutting-edge AI/ML technologies, we d love to hear from you!

Position: Manager - Analytics Location: SEZ4, Bangalore, Karnataka, India Department: Advanced Analytics Employment Type: Subexian Experience Required: 6 to 9 years Job Overview: We are seeking an experienced Manager - Analytics to lead a team of talented data scientists in delivering impactful data-driven solutions. The ideal candidate will have a solid background in analytical methodologies, including machine learning, statistical modeling, and business analytics. You ll be responsible for collaborating with business stakeholders, driving the design and development of advanced analytics models, and ensuring the delivery of high-quality insights that support strategic decision-making. Key Responsibilities: Analytical Methodology: Research, evaluate, and implement new analytical methodologies and approaches to build innovative data-driven solutions. Utilize a blend of mathematics, statistics, machine learning, and business knowledge to solve complex problems. Business Collaboration: Work closely with business leaders and data owners to define key problems and challenges, ensuring the solutions developed have a significant impact on the business. Team Leadership: Lead and mentor a team of junior data scientists, guiding them through the development, deployment, and refinement of machine learning models in a production setting. Advanced Modeling: Utilize a wide range of analytical models, including reliability models, Markov models, stochastic models, Bayesian modeling, classification models, neural networks, and more to address business challenges effectively. Hands-On Expertise: Apply strong hands-on skills in R and Python, using libraries such as NLTK and Sklearn for developing machine learning models and data analysis. Large Data Management: Work with large datasets and distributed computing frameworks like MapReduce, Hadoop, and Hive, ensuring scalable and efficient data processing. Continuous Improvement: Stay up to date with the latest advancements in analytics and machine learning, continually enhancing models and methodologies to deliver cutting-edge insights. Required Technical Skills: Hands-on Experience in Python & R: Strong proficiency in R and Python programming, with experience in libraries such as NLTK, Sklearn, and other machine learning frameworks. Advanced Statistical & Machine Learning Techniques: Proven expertise in at least one of the following: Reliability models Markov Models Stochastic models Bayesian Modelling Classification Models Cluster Analysis Neural Networks NLP (Natural Language Processing) Deep Learning Non-parametric Methods Multivariate Statistics Big Data Tools: Experience working with large datasets and distributed computing platforms such as MapReduce, Hadoop, Hive, etc. Soft Skills: Leadership & Collaboration: Strong leadership skills with the ability to mentor a team of junior data scientists. Excellent collaboration and communication skills to work with business and technical teams. Problem-Solving & Critical Thinking: Ability to approach complex business problems analytically and come up with data-driven solutions. Continuous Learning: A passion for staying up to date with the latest trends and advancements in analytics, machine learning, and data science. At Subex, you ll have the opportunity to work on cutting-edge projects that make a tangible impact on the business. If you're passionate about leading analytics teams and leveraging data science to drive business success, we would love to have you on board.

Job Title: Software Engineer GPU Performance Location: Bengaluru Overview: We are looking for a highly skilled Software Engineer GPU Performance with a deep understanding of CUDA, GPU hardware architecture, and low-level performance optimization. The ideal candidate will have hands-on experience building high-performance GPU-based pipelines, optimizing time-continuous kernels, and dynamically managing processing loads between the CPU and GPU. Key Responsibilities: Utilize low-level CUDA APIs to implement and optimize GPU kernels and memory management strategies. Design and optimize pipelined image processing frameworks, ensuring seamless multi-block function execution and inter-block communication. Conduct low-level GPU performance analysis and optimizations using tools like: NVIDIA Nsight Compute NVIDIA Visual Profiler NVIDIA Graphics Developer Tools Optimize CUDA cores and kernels for maximum throughput, particularly in time-continuous processing scenarios. Implement dynamic load balancing between GPU kernels and processing functions. Design interleaved execution strategies between CPU and GPU, including real-time GPU control flow modifications from the CPU. Use NVIDIA Direct technologies for direct memory access from PCIe, USB, and display hardware, bypassing CPU intervention. Build systems to visualize GPU memory for debugging without requiring CPU transfers. Contribute to the design and optimization of foundational neural networks, including mathematical modeling of time-weighted kernels. Stay up to date with emerging GPU tools and platforms; exposure to NVIDIA Omniverse is a plus. Required Skills & Qualifications: Strong proficiency in C/C++. In-depth experience with low-level CUDA programming. Proficiency with Visual Studio toolchain and related debugging tools. Solid understanding of GPU hardware architecture and system-level performance tuning. Hands-on experience with GPU memory management, kernel interleaving, and CPU-GPU orchestration. Strong problem-solving skills and the ability to write clean, efficient, and maintainable code. Experience in neural network architecture design and low-level performance optimization is highly desirable. Exposure to Omniverse, real-time rendering, or simulation platforms is a bonus.

Job Title: Mechanical System Engineer - Robotics Location: Bengaluru Role and Responsibilities System Design & Integration: Analyze customer production lines to break down requirements and design mechanical systems integrating the CyRo platform. Ensure mechanical designs meet customer-specific constraints such as space, payload, and environmental conditions. Develop systems including CyRo, feeding mechanisms, sensors, fixtures, and other mechanical components for tailored automation solutions. Perform tolerance analysis to validate dimensional and functional requirements. Collaborate closely with electrical, software, and systems engineering teams to ensure seamless subsystem integration. Design mounting systems, fixtures, and interface components to facilitate integration into customer facilities when required. Mechanical Optimization: Optimize system designs by integrating mechanisms and sensors to enhance performance, modularity, and scalability. Select and design mechanisms for part presentation, feeding, reorientation, and manipulation considering space and performance constraints. Develop automation cells with modularity and scalability for current and future applications. Continuously refine workflows to improve cycle times, reduce errors, and increase operational efficiency. Modelling: Create and integrate detailed mechanical designs, including CAD layouts and fixtures, supporting customer automation solutions. Validate designs through tolerance analysis and develop calibration fixtures for robotic systems. Work cross-functionally to ensure mechanical designs integrate effectively with instrumentation, software, and controls. Documentation: Produce comprehensive documentation such as design specifications, validation reports, and scalability guidelines to ensure reproducibility. Develop detailed installation guides, maintenance manuals, and troubleshooting documentation for customer use. Skills and Experience Proficient in CAD software such as SolidWorks, CATIA, or AutoCAD. Strong grasp of mechanical engineering principles, materials science, and manufacturing processes. Experience in robotics, automation, or mechatronics is highly preferred. Familiarity with relevant industry standards and safety regulations (ISO, ANSI, OSHA). Excellent analytical, problem-solving, communication, and teamwork skills. Understanding of manufacturing processes, assembly lines, and automation cell design. Prior experience designing and integrating automation systems in production or process lines. Required Qualifications Bachelor s or Master s degree in Mechanical Engineering, Mechatronics, or related fields. Minimum 3 years of experience in mechanical design and automation systems integration. Strong knowledge of manufacturing processes and mechanical systems integration. Skilled in CAD and simulation tools. Additional Preferred Qualifications Experience with robotic automation systems and integration into manufacturing workflows. Familiarity with designing feeding mechanisms, part presentation systems, and end-of-arm tooling (EOAT) for robotics. Exposure to Autonomous Mobile Robots (AMRs) and other robotic mobility solutions. Understanding of sensors and actuators commonly used in automation (vision systems, force-torque sensors, linear actuators). Experience with plant simulation tools such as Siemens Plant Simulation or FlexSim. Qualification : Bachelors or Masters degree in Mechanical Engineering, Mechatronics, or related fields.

Job Title: Senior Manager Data Science, Data Modelling & Analytics Location: Bengaluru Department: Insights & Analysis About the Role: As a Senior Manager, you will lead a team of data scientists and analysts, driving the development and deployment of advanced analytics solutions that enable data-driven decision-making. This role blends strategic leadership with hands-on technical expertise, playing a critical part in delivering impactful insights and analytics across the organization. Key Responsibilities: Hands-On Technical Contribution: Design, develop, and deploy advanced machine learning models and statistical analyses to address complex business challenges. Utilize Python, R, SQL, and other tools to manipulate data and build predictive models. Manage end-to-end data pipelines including collection, cleaning, transformation, and visualization. Collaborate with IT and data engineering teams to integrate analytics solutions into production environments. Provide thought leadership on analytics solutions and metrics aligned with business needs. Team Leadership & Development: Lead, mentor, and manage a team of data scientists and analysts, fostering collaboration and innovation. Guide career development, conduct performance evaluations, and promote skill enhancement. Encourage continuous learning and adoption of best practices in data science methodologies. Strategic Planning & Execution: Collaborate with senior leadership to define and execute data science strategy aligned with business goals. Identify and prioritize high-impact analytics projects that deliver business value. Ensure timely and quality delivery of analytics solutions balancing scope and resources. Client Engagement & Stakeholder Management: Act as primary point of contact for clients, translating business challenges into data science solutions. Lead client presentations, workshops, and discussions, effectively communicating complex analytical concepts. Build and maintain strong client relationships, managing expectations and deliverables. Deliver regular reports and dashboards to senior management and stakeholders. Bridge communication between technical teams and business units to align analytics initiatives with organizational objectives. Cross-Functional Collaboration: Work closely with Business Intelligence, Market Analytics, and Data Engineering teams to integrate analytics into business processes. Translate complex insights into actionable recommendations for non-technical stakeholders. Facilitate data-driven workshops and presentations across the organization. Collaborate with support functions to provide timely leadership updates on operational metrics. Governance & Compliance: Ensure compliance with data governance policies and data privacy regulations (e.g., GDPR, PDPA). Implement best practices for data quality, security, and ethical analytics use. Stay abreast of industry trends and regulatory changes affecting data analytics. Qualifications: Education: Bachelor s or Master s degree in Data Science, Computer Science, Statistics, Mathematics, or related field. Experience: 12+ years in advanced analytics, data science, data modelling, machine learning, or related fields. 5+ years in leadership roles managing analytics teams and projects. Experience in BFSI, Hi-Tech, Retail, or Healthcare industries preferred. Experience with media data is a plus. Technical Skills: Proficiency in Python, R, SQL. Experience with data visualization tools like Tableau, Power BI. Familiarity with big data platforms (Hadoop, Spark) and cloud services (AWS, GCP, Azure). Strong knowledge of machine learning frameworks and libraries. Soft Skills: Excellent analytical and problem-solving skills. Strong communication and interpersonal abilities. Ability to influence and drive organizational change. Strategic thinker focused on business outcomes. Desirable Expertise: Advanced Analytics Techniques: Descriptive Analytics: Statistical analysis, data visualization. Predictive Analytics: Regression, time series forecasting, classification, market mix modelling. Prescriptive Analytics: Optimization, simulation modelling. Text Analytics: NLP, sentiment analysis. Machine Learning Techniques: Supervised Learning: Linear/logistic regression, decision trees, random forests, gradient boosting, SVMs. Unsupervised Learning: Clustering, PCA, anomaly detection. Reinforcement Learning: Q-learning, deep Q-networks. Generative AI & Large Language Models (Good to Have): Experience with GPT, Gemini, LLAMA, etc. for text generation, summarization, conversational agents. Hyperparameter tuning, prompt engineering, embeddings, fine-tuning. Additional Skills: Proficiency with Tableau or Power BI (advanced visualization). Strong data management, structuring, and harmonization skills.

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.

Software Engineer III - Machine Learning, Google One Company: Google Location: Bengaluru, Karnataka, India Minimum Qualifications: Bachelor s degree or equivalent practical experience. 2 years of experience in software development with one or more programming languages, or 1 year with an advanced degree. 2 years of experience with data structures or algorithms in either an academic or industry setting. Preferred Qualifications: Experience with Data Analytics, Privacy Data Handling, Privacy Design Document, and Mathematical Optimization. Understanding of Machine Learning (ML). Excellent software engineering and problem-solving skills through programming. Excellent communications skills. About the Job Google software engineers create next-generation technologies that transform how billions of users connect, explore, and interact with information. Our products must scale to handle vast amounts of data, and our work extends far beyond web search. We are looking for engineers with fresh ideas from a variety of areas including information retrieval, distributed computing, large-scale system design, networking, data storage, security, artificial intelligence (AI), natural language processing (NLP), UI design, and mobile technologies. As a Software Engineer at Google, you will work on projects that are critical to Google s needs, with opportunities to switch teams and projects as our fast-paced business grows. We need engineers who are versatile, show leadership qualities, and are enthusiastic about taking on new problems across the full-stack to push technology forward. Google One (G1) is Google s membership service rooted in storage, offering access to premium features. Our team works across multiple product areas to personalize user experiences through Machine Learning. The Platforms and Ecosystems product area encompasses Google's various computing software platforms across environments such as desktop, mobile, and applications. These products provide enterprises, and ultimately end users, the ability to utilize and manage services at scale. We build innovative software products from apps to TVs, from laptops to phones that impact people s lives globally. Responsibilities Write product or system development code. Collaborate with peers and stakeholders through design and code reviews to ensure best practices (e.g., style guidelines, accuracy, testability, and efficiency). Contribute to documentation or educational content and adapt based on product updates and user feedback. Triage product or system issues, debug, track, and resolve them by analyzing the source of issues and their impact on hardware, network, or service operations. Implement solutions in one or more specialized Machine Learning (ML) areas, utilize ML infrastructure, and contribute to model optimization and data processing.

Research Engineer Location: Bangalore, Karnataka, India Job Type: Full-Time Experience Level: 0-8 years Company: IBM Research India (IRL) Introduction: IBM Research is the innovation engine of IBM and is the largest industrial research organization in the world. With 12 labs across 6 continents and over 3200 researchers globally, we produce more patents daily than any other organization. At IBM Research India (IRL), we are shaping the future of computing in areas like AI, Hybrid Cloud, and Quantum Computing. Our work is at the forefront of breakthrough innovations in Foundation Models, AI systems, large-scale data engineering, and more. We are looking for top talent to join us in our exciting and dynamic projects, pushing the boundaries of innovation. As a Research Engineer, you will work on pioneering research and development in the most cutting-edge fields of AI and computing. Role Overview: The Research Engineer role at IBM India Research Lab (IRL) involves working on challenging, dynamic, and highly innovative projects in the fields of AI, machine learning, and data systems. Your responsibilities will span multiple areas including optimizing AI models for large-scale distributed systems, pre-training foundation models, and developing real-world use cases that leverage IBM s infrastructure and models. Key Responsibilities: Optimized Runtime Stacks for Foundation Models: Work on fine-tuning, inference serving, and large-scale data engineering for AI models. Focus on multi-stage tuning, reinforcement learning, inference-time compute, and preparing data for complex AI systems. Model Optimization Across Accelerators: Develop solutions to optimize models for multi-accelerator environments, particularly focusing on IBM s AIU accelerator. Work on compiler optimizations, specialized kernels, libraries, and tools to enhance model performance. Pre-training and Deployment of Foundation Models: Participate in pre-training language models and multi-modal foundation models. Work on distributed training procedures, model alignment, and creating pipelines for various tasks, including LLM-generated data pipelines. Research and Use Case Development: Develop and implement use cases that effectively leverage infrastructure and models to drive real-world value. Contribute to creating frameworks for human-data collection and deploying models on user-centric platforms. Required Education and Experience: Education: A Master s degree in Computer Science, AI, or related fields from a top institution. Experience: 0-8 years of experience working with modern ML techniques, including but not limited to model architectures, data processing, fine-tuning techniques, reinforcement learning, distributed training, and inference optimizations. Technical Skills: Experience with big data platforms such as Ray and Spark. Experience with Pytorch FSDP and HuggingFace libraries. Proficiency in programming with Python or web development technologies. Mindset and Attitude: A growth mindset and pragmatic approach to problem-solving. Preferred Experience: Research Experience: Peer-reviewed research at top machine learning or systems conferences. Advanced Technical Skills: Experience working with pytorch.compile, CUDA, Triton kernels, GPU scheduling, and memory management. Open Source Contributions: Experience working within open-source communities, contributing to or developing open-source projects. Innovative Environment: Be at the forefront of technological innovation, working on cutting-edge projects in AI, quantum computing, and more. Global Impact: Work on projects that influence both academic research and commercial product development, making a global impact. Career Development: IBM offers abundant opportunities for learning and growth, with access to the latest technologies and research. Collaborative Culture: Work with a diverse team of world-class researchers and engineers in a collaborative, open-source-driven environment. Apply today and become a part of the team that s redefining innovation. Qualification : A Masters degree in Computer Science, AI, or related fields from a top institution.

Job Description: Bachelor s degree in Mathematics, Engineering, preferably in Mechanical or a related field. Strong programming skills in any programming languages such as Python or Java or C++. Solid understanding of analytical geometry and computational geometry. Basic knowledge of CAE tools ANSA is a must. Strong analytical and problem-solving skills. Background in programming, analytical geometry, and exposure to pre-processors, particularly ANSA, is an advantage. You will receive comprehensive on-job training on python, ANSA, a leading CAE pre-processor, and ANSA scripting Sessions and exposure to commonly used ANSA API s. Preferred Skills Ability to write programs to solve mathematical or logical problems. with ANSA knowledge. Experience: 0 to 3 years Location: Bangalore Educational Qualification: BE / ME /B.Tech / M.Tech Number of Positions: 3 Qualification : BE / ME /B.Tech / M.Tech

Job Overview Join our collaborative and creative group of AI scientists and machine learning engineers as a Senior AI Scientist! In this role, you'll be instrumental in designing, building, and deploying machine learning models in AI-native applications within our Virtual Expert Platform (VEP). You'll directly impact our customers across QuickBooks, TurboTax, Mailchimp, and Credit Karma, developing AI solutions that enhance customer success by blending AI and human expertise. You'll work on some of the most exciting challenges, from forecasting, capacity planning, optimization, and variance analytics, to recommendation systems and decision systems. The solutions you create will be a key part of multi-billion-dollar services like QuickBooks Live and TurboTax Live. Responsibilities Data Analysis & Modeling: Perform hands-on data analysis and build machine learning models using large datasets. Apply data mining, machine learning (both supervised and unsupervised) to improve algorithms related to relevance and personalization. Collaboration: Work closely with product managers, software engineers, and designers to design experiments and develop minimum viable products (MVPs) that leverage AI technologies. Feature Creation & Refinement: Develop features from raw data, continuously refining models to enhance performance. You'll be experimenting with different features and applying your intuition to make improvements. A/B Testing & Optimization: Run A/B tests, collect data, perform statistical analysis, and assess the impact of your optimizations. Communicate the results to both peers and leaders. Product & Service Innovation: Collaborate with business planners to propose innovative AI-driven products and services. Ensure that AI s power is fully integrated into new services. Infrastructure Collaboration: Work with infrastructure architects to streamline systems and improve data governance for agile and responsive data manipulation. Research & Thought Leadership: Introduce cutting-edge academic or industry research to Intuit leadership to solve complex problems and fuel new business opportunities. Mentorship & Community Building: Serve as an advisor and mentor, helping to grow and nurture a vibrant AI practice within the organization. Qualifications Education: MS or PhD in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field. Experience: 5+ years of experience building AI systems using data mining algorithms and statistical modeling techniques, including: Clustering, Classification, Regression, Decision Trees, Neural Networks, Support Vector Machines, Anomaly Detection, Recommender Systems, Sequential Pattern Discovery, Text Mining, and more. 2+ years of experience in a lead or management role within AI/Data Science. Technical Skills: Proficient in Python and familiar with version control systems like Git/GitHub. Experience with distributed computing and distributed databases (e.g., Hadoop, NoSQL, Hive, Pig). Strong understanding of mathematical concepts and the ability to apply them to create original solutions. Preferred: PhD in a related field. Proven experience working with large-scale machine learning techniques and datasets. Deep experience with Hadoop and related programming environments. Strong problem-solving skills and the ability to communicate complex ideas to both technical and non-technical stakeholders. Soft Skills: Excellent communication skills and experience influencing at an executive level. Strong interpersonal skills for collaborating with technical teams and making impactful presentations to diverse stakeholders. This is an exciting opportunity to be part of a highly innovative team at the forefront of AI and machine learning. You'll be solving complex, high-impact problems that directly influence customer experiences across multiple industries. The role offers the chance to lead cutting-edge AI projects while mentoring a talented team and driving the development of transformative AI-powered solutions. Qualification : MS or PhD in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field.

FalconX is a pioneering team of operators, investors, and builders dedicated to redefining institutional access to the cryptocurrency markets. Sitting at the nexus of traditional finance and cutting-edge technology, FalconX tackles the industry's biggest challenges. The digital asset space is complex and fragmented, offering limited products and services that cater to the sophisticated trading strategies and liquidity requirements common in conventional financial markets. FalconX delivers a comprehensive, all-in-one solution for institutional clients supporting their digital asset strategies from inception to scale. Acting as the connective tissue for the ecosystem, we empower clients to seamlessly navigate the ever-evolving crypto landscape. Role: Analyst/Associate - Finance Experience: 3-8 Years Qualification: Chartered Accountant (CA) or CPA Key Responsibilities Accounting & Financial Reporting Execute day-to-day accounting, bookkeeping, and reporting as per relevant GAAP standards (US GAAP, IndAS, IFRS). Prepare and review monthly, quarterly, and annual financial statements for both standalone and consolidated entities. Assist in handling complex technical accounting matters including Revenue Recognition, Consolidation, Stock Options, Business Combinations, MTM accounting, and more. Legal Entity Management Manage jurisdiction-specific accounting, reporting, and compliance for assigned legal entities. Monitor and settle inter-company balances, and oversee transfer pricing arrangements. Operations & Reconciliation Develop an in-depth understanding of FalconX s trading and settlement processes. Support the Trade Operations & Settlements team by performing daily, weekly, and monthly reconciliations and attestation procedures. Process & Control Framework Assist in establishing and improving internal processes, policies, procedures, and control frameworks. Collaborate with external auditors, the audit committee, and other internal/external stakeholders during audits and reviews. ERP & Systems Expertise Leverage hands-on knowledge of ERP systems (such as NetSuite, Oracle, SAP), ensuring system integrity and efficiency across finance and reporting processes. What Success Looks Like Build robust in-house accounting and reporting capabilities to support FalconX s growth. Streamline finance processes to ensure real-time, accurate financial information for stakeholders. Effectively manage legal entities across jurisdictions, ensuring all regulatory, statutory, tax, and management reporting is timely and compliant. Collaborate closely with trading and trade operations teams, proactively aligning financial processes with business dynamics. Grow into a Subject Matter Expert (SME) in financial, regulatory, and operational aspects of crypto trading and digital assets. Balance multiple responsibilities, adapting to new challenges while maintaining high-quality outcomes. Required Qualifications & Skills Professional Degree: Chartered Accountant (CA) or CPA (mandatory). Experience: 3-8 years in relevant industries Banking, Broker-Dealer, Trading, or FinTech. Legal Entity Management: Proven experience handling end-to-end deliverables of legal entities, including transfer pricing arrangements. Expertise in IFRS, US GAAP reporting standards, with practical experience applying these standards. Proficiency in ERP systems (NetSuite, Oracle, SAP) and MS Excel Finance. Strong understanding of E2E trade flow, including settlements and market-making processes. Excellent analytical and problem-solving skills, coupled with attention to detail and strong communication abilities (written and verbal). Enthusiastic self-starter with the ability to multi-task, prioritize, and deliver under pressure. Keen interest in FinTech, blockchain, and digital assets, with a passion for continuous learning and cross-functional collaboration. Opportunity to work at the cutting edge of finance and technology, shaping the future of institutional crypto markets. Collaborate with a high-performing, global team of experts from top-tier financial institutions and technology firms. Be part of a fast-paced, high-growth environment, where innovation and agility are celebrated. Qualification : Professional Degree: Chartered Accountant (CA) or CPA (mandatory)

Position Summary To be a team lead and senior analyst who can work on multiple project streams for a client and applies Analytics for better business decision making especially in the area of Pharma (domain). Job Responsibilities Effectively manage the client/ onshore stakeholders, as per the business needs, to ensure successful business delivery. Work closely with the onshore/ client stakeholders to define the algorithm, break down the problem into execution steps, and run the analysis. Ensure high-quality analytics solutions/reports to the client. Project scoping, solution brainstorming and design, execution, and communication of the analysis in the client-ready formats. Lead/ contribute/ support to the RFPs/ proposals working with US stakeholders/ Axtria s client partner team. Manage and mentor the team, plan their learning and career progression. Contribute towards Axtria tools and capabilities as per the business requirements. Build organization capabilities by participating in Hackathon, solution design, and process automation. Education BE/B.Tech Work Experience Overall, 7-10 years of rich experience in marketing analytics with 5+ years of good hands-on experience in Market Mix Modeling / Promotion Response Modeling / Test & Control. Proficiency in Statistical and Probabilistic methods such as multivariate regression, hierarchical modelling, Mixed Effect modelling, SVM, Decision-Trees, Random Forest, etc. Hands-on experience in Python, and strong storyboarding skills. Good communication skills- verbal and written. Experience in leading engagements of scale, team, managing deliverables/ timelines and risk. Priority to the candidates with Marketing Mix modeling in the Pharmaceutical / Life Sciences Domain. Knowledge of Pharma data sets (sales/ promotions/ customer master) in the US/ ex-US is deeply appreciated. Attitude and willingness to learn, accept the challenging environment and have confidence in delivering results within timelines. Should be inclined towards self-motivation and self-driven to find solutions to problems. Behavioural Competencies Teamwork & Leadership Motivation to Learn and Grow Ownership Cultural Fit Talent Management Technical Competencies Problem Solving Lifescience Knowledge Communication Project Management Attention to P&L Impact Business development Capability Building / Thought Leadership Scale of revenues managed / delivered Scale of Resources Managed

Job Title: Global FP&A and Sustainability Analyst Location: Bangalore (with hybrid work model) Reporting to: Financial Planning & Analysis Manager (solid line) and Global FP&A team (dotted line) Work Model: Hybrid / Onsite (#LI-Hybrid, #LI-Onsite) About ABB At ABB, we are committed to addressing global challenges through innovation, collaboration, and sustainability. Our core values Care, Courage, Curiosity, and Collaboration along with our focus on diversity, inclusion, and equal opportunities, drive us to empower our employees and create impactful solutions for a better future. Role Overview We are looking for a proactive and analytical FP&A and Sustainability Analyst to join our Center of Excellence (CoE) team in India. In this role, you will act as a critical link between Finance and Sustainability functions, supporting the Global Business Area of Motion. You will be responsible for evaluating financial and sustainability KPIs, building and maintaining analytics dashboards, and acting as a business partner to Global Divisions and other functions. This is an exciting opportunity for a finance professional with a sustainability mindset to contribute directly to global initiatives, driving meaningful insights and improvements across the Motion business. Key Responsibilities Conduct financial analysis and validate data accuracy to support the financial reporting, planning, budgeting, and forecasting processes. Support business analytics processes by developing Power BI dashboards and other data visualization tools for internal stakeholders. Assist in ESG reporting for the Motion business area prepare reporting templates, aggregate data, and conduct data analysis to track sustainability performance. Collaborate closely with finance and sustainability teams across divisions, regions, and countries to drive alignment and ensure data accuracy. Actively participate in global initiatives and Finance/Sustainability projects, contributing insights and solutions from a local and global perspective. Provide additional finance and sustainability support during peak reporting periods, year-end, and special projects as needed. Qualifications & Experience Education: Chartered Finance Qualification (CMA, CA, ACCA, or MBA in Finance). Full-time Finance Graduate background. Experience: Minimum 2+ years of professional experience in FP&A, finance analytics, or sustainability reporting. Strong interest in Sustainability and ESG reporting (additional certification or education in Sustainability topics would be advantageous). Technical Skills: Proficiency in Microsoft Office 365, especially Excel. Hands-on experience with Power BI (dashboard creation, data modeling, visualization). Understanding of end-to-end processes, systems, and data flows in Abacus Analyzer and ATLAS is preferred. Interpersonal Skills: Excellent communication and collaboration abilities. Strong team player with the ability to work independently towards defined goals. Exceptional attention to detail and strong organizational and multitasking capabilities. About ABB Finance ABB Finance is a trusted business partner, delivering forward-looking insights and sustainable long-term results, all while maintaining the highest standards of integrity and transparency. Our global Finance team plays a crucial role in enabling innovation and supporting ABB s transformation toward a more sustainable and efficient future. Work at the intersection of Finance, Sustainability, and Data Analytics. Be part of a global team driving sustainable transformation in a leading technology company. Collaborate across divisions and geographies, expanding your global network. Enhance your technical and analytical skills with exposure to cutting-edge tools and processes. Experience a culture that values diversity, innovation, and continuous learning. Qualification : Chartered Finance Qualification (CMA, CA, ACCA, or MBA in Finance).

Senior Technical Lead FAW, Data Modelling, & OBIEE Location: Remote / Bangalore, India Experience: 7-12 Years About the Role We are seeking a Senior Technical Lead with deep expertise in Fusion Analytics Warehouse (FAW), Data Modelling, and OBIEE to design and implement cutting-edge enterprise analytics solutions. This role requires hands-on experience in FAW customization, OBIEE development, data integration, and ETL/ELT processes. As a key technical leader, you will work closely with internal teams and stakeholders to develop scalable, high-performance analytics solutions, ensuring alignment with business goals. Key Responsibilities FAW & OBIEE Development Lead the design, development, and deployment of enterprise analytics solutions using Fusion Analytics Warehouse (FAW) and OBIEE. Implement and manage FAW solutions, ensuring alignment with business requirements. Customize FAW dashboards and reports to meet specific organizational needs. Data Modelling & Integration Design, develop, and maintain robust data models, including dimensional modelling and star schema design. Provide expertise in ETL/ELT processes and data integration to support seamless data flow. Work with Oracle, SQL Server, and other database management systems to optimize data performance. OBIEE Development & Optimization Develop and maintain OBIEE reports, dashboards, and metadata repository (RPD). Troubleshoot and optimize OBIEE performance, ensuring scalability and reliability. Ensure data security and compliance across FAW, OBIEE, and related analytics platforms. Collaboration & Stakeholder Engagement Provide technical expertise in data integration, reporting, and visualization to internal teams and stakeholders. Effectively communicate complex technical concepts to non-technical stakeholders. Collaborate with cross-functional teams to ensure timely and successful project delivery. Required Qualifications & Skills Education & Experience Graduate degree in Computer Science, Information Technology, or a related field. 7-12 years of experience in enterprise analytics and business intelligence. Technical Expertise Fusion Analytics Warehouse (FAW): Hands-on experience in customization and deployment. Data Modelling: Strong knowledge of dimensional modelling and star schema design. OBIEE: Expertise in RPD development, dashboard/report creation, and performance tuning. ETL/ELT: Strong understanding of data integration processes and tools. SQL & Databases: Proficiency in Oracle, SQL Server, and other database management systems. Cloud Analytics: Familiarity with Oracle Cloud Infrastructure (OCI) and Oracle Analytics Cloud (OAC). Soft Skills Strong problem-solving and analytical skills. Excellent communication and collaboration skills. Ability to work independently and in a team-oriented environment. Lead Cutting-Edge Analytics Initiatives Work with FAW, OBIEE, and cloud-based analytics platforms. Career Growth Opportunities for learning, upskilling, and career advancement. Collaborative Environment Work alongside industry experts in a dynamic, innovative culture. Comprehensive Benefits Competitive salary, remote work flexibility, and a supportive work environment. Join Our Team & Shape the Future of Enterprise Analytics! If you are passionate about data analytics, FAW, and OBIEE, we encourage you to apply! Apply Now! Qualification : Graduate degree in Computer Science, Information Technology, or a related field.