Job Summary We are seeking a highly experienced and strategic Lead Business Analyst with over 10 years of proven expertise in business analysis, data analytics, and project delivery. The ideal candidate will have deep knowledge in risk, data governance, and KPI frameworks, with a successful track record of driving complex data-driven projects, compliance transformations, and performance automation. --- Key Responsibilities · Business Analysis & Strategy o Collaborate with stakeholders to gather, define, and analyze business requirements across projects. o Develop Business Requirement Documents (BRDs) and functional specifications aligned with business goals. · Project Delivery & Data Analytics o Lead cross-functional teams to deliver data-centric projects such as scorecard creation, dashboards, and EDW redesign. o Manage end-to-end project lifecycle, ensuring timely delivery of business insights and performance dashboards. · Process Optimization & Automation o Drive process enhancements by automating KPIs, Daily reports, and workflows. o Conduct gap analysis, root cause analysis, and impact assessments to improve decision-making accuracy. · Stakeholder & Client Engagement o Serve as a point of contact for internal and external stakeholders, ensuring business objectives are translated into actionable analytics. o Deliver high-impact demos and training sessions to clients and internal teams. --- Key Requirements · 10+ years of experience in business analysis, preferably in EDW projects. · Hands-on expertise with data analytics, data quality assessment, and KPI frameworks · Technical proficiency in SQL Server, PowerBI/Tableau, Jira · Strong documentation, stakeholder management. · Experience with AI/ML product features and data governance practices is a plus --- Key Competencies · Strategic Thinking and Problem Solving · Strong Analytical and Communication Skills · Agile and Cross-functional Team Leadership · Data Strategy, Quality, and Visualization · Critical Thinking and Decision-Making Show more Show less

We are seeking a highly skilled and motivated Lead Data Scientist to join our team. In this role, you will leverage cutting-edge AI and machine learning technologies to solve complex business problems, design innovative data science solutions, and deliver projects that exceed client expectations. As a leader, you will manage a team of data scientists, collaborate with cross-functional data teams, and provide strategic and technical direction in data science while driving innovation in our product and solution offerings. Mandatory Technical Skills: • Strong statistical and machine learning intuition to address new and unique challenges. • Ability to design, develop and deploy end-to-end data science solutions, POCs and production-grade applications. • Strong proficiency in Python with OOP principles - ( 4 years of experience) • Experience developing APIs using Flask or Fast API frameworks ( 2 years of experience) • Integration knowledge with front-end applications ( 1 year of experience) • Expertise in version control systems (e.g., GitHub, GitLab, Azure DevOps) - ( 3 years of experience) • Familiarity with task management tools (e.g., Jira, Azure DevOps) - ( 2 years of experience) • Proficiency in databases, including SQL, NoSQL and vector databases ( 2 + years of experience) • Working knowledge of ML pipelines and CI/CD. • Experience with at least one of the cloud platforms (Azure, AWS, GCP) - ( 2 + years of experience) Core Excellence Areas (CEA): Candidates must have a strong understanding of fundamentals and good hands-on expertise in at least THREE of the following areas (mention your areas while applying): NLP Generative AI (NLP) Computer Vision Time Series Forecasting Recommendation Systems and Optimization Roles & Responsibilities: • Advanced AI/ML/Gen AI Implementation: o Leverage advanced AI and machine learning techniques to address complex business challenges. o Design, develop, and deliver innovative data science solutions. • Architectural Design: o Develop end-to-end generative AI solutions. o Build scalable architectures for AI/ML models and applications. • Team Leadership: o Lead and mentor a team of data scientists, fostering professional growth and technical excellence. o Provide strategic and technical guidance to ensure the team delivers high-quality projects. • Cross-functional Collaboration: o Work closely with data engineering, product, and business teams to align on objectives and integrate solutions. • Client Engagement : Maintain high levels of client satisfaction through excellent communication, delivering impactful solutions, and building strong relationships. • Innovation: Ideate and implement new approaches for products and solutions, ensuring they stay at the forefront of technology. Nice to have Skills: • Hands-on experience with PySpark, large-scale data processing using distributed frameworks and parallel processing. • Hands-on experience with Azure AI stack, ETL processes, and integration with analytics tools (e.g., Power BI, Tableau) • Knowledge of deep learning frameworks (e.g., PyTorch, TensorFlow, Keras). • Experience with cloud platforms and MLOps practices. • Project management skills to lead initiatives effectively. • Knowledge of graph-based query languages (e.g., Cypher, Gremlin) and Proficiency in graph databases. Experience & Educational Qualifications: • Minimum of 5+ years of experience solving complex machine learning problems. • At least 2+ years of hands-on experience in each of the chosen Core Excellence Areas. • Minimum of 1 year leading and managing ML projects end-to-end. • Bachelors degree in computer science, Data Science, or related field (Master’s/PG AI/ML/DS preferred).

Youll need to work closely with Data Scientists, Data Engineers, UI Engineers, Software Developers, and DevOps teams to design and implement end-to-end AI/GenAI solutions. You will: Be responsible for training, integrating, and deploying AI/GenAI/ML models in Azure/AWS ecosystem. Design and implement enterprise-quality AI/GenAI/ML applications. Optimize deployed models for performance, scalability, and efficiency. Debug and troubleshoot issues in AI/GenAI/ML pipelines and systems. Monitor model performance in production and retrain as necessary to maintain accuracy. Stay conversant with the latest trends, techniques, and tools in GenAI pipelines. Experiment with state-of-the-art methods and propose innovative solutions to complex problems. Excellent written and verbal communication skills required. Technical Skills: Excellent Python, PySpark, and SQL skills. Knowledge of GenAI stack is a big plus. Experience with Azure DevOps / AWS DevOps for ML projects, Databricks, CI/CD pipelines, and repositories. Experience with Azure/AWS MLOps/Kubeflow. Experience of training and deploying AI/GenAI/ML models into production environments and integrating them with existing systems. Knowledge of containerization tools like Docker, orchestration systems like Kubernetes, and inference platforms like Kserve / NVIDIA Triton. Knowledge of Azure / AWS ETL pipelines is a plus (but not mandatory). Soft Skills: Excellent written and verbal communication. Exceptional problem-solving and multitasking skills in a fast-paced environment. Experience Level: 8+ years of experience in ML Engineering.

Job Summary We are seeking a highly experienced and strategic Lead Business Analyst with over 10 years of proven expertise in business analysis, data analytics, and project delivery. The ideal candidate will have deep knowledge in risk, data governance, and KPI frameworks, with a successful track record of driving complex data-driven projects, compliance transformations, and performance automation. --- Key Responsibilities Business Analysis & Strategy o Collaborate with stakeholders to gather, define, and analyze business requirements across projects. o Develop Business Requirement Documents (BRDs) and functional specifications aligned with business goals. Project Delivery & Data Analytics o Lead cross-functional teams to deliver data-centric projects such as scorecard creation, dashboards, and EDW redesign. o Manage end-to-end project lifecycle, ensuring timely delivery of business insights and performance dashboards. Process Optimization & Automation o Drive process enhancements by automating KPIs, Daily reports, and workflows. o Conduct gap analysis, root cause analysis, and impact assessments to improve decision-making accuracy. Stakeholder & Client Engagement o Serve as a point of contact for internal and external stakeholders, ensuring business objectives are translated into actionable analytics. o Deliver high-impact demos and training sessions to clients and internal teams. --- Key Requirements 10+ years of experience in business analysis, preferably in EDW projects. Hands-on expertise with data analytics, data quality assessment, and KPI frameworks Technical proficiency in SQL Server, PowerBI/Tableau, Jira Strong documentation, stakeholder management. Experience with AI/ML product features and data governance practices is a plus --- Key Competencies Strategic Thinking and Problem Solving Strong Analytical and Communication Skills Agile and Cross-functional Team Leadership Data Strategy, Quality, and Visualization Critical Thinking and Decision-Making

About Us At InxiteOut Pvt. Ltd., we specialize in building next-generation AI-powered applications that solve real-world business problems. We are expanding our QA team to ensure our AI systems are robust, secure, and aligned with user expectations. Key Responsibilities Strong knowledge of Python. Configure and test AI/ML product/system. Lead the quality assurance strategy and establish automation frameworks from scratch. Manage and mentor junior QA engineers and guide them in test automation and AI system validation. Own functional and non-functional testing across complex distributed systems. Own API, integration, acceptance, system, and end-to-end (E2E) testing. Lead test planning, test case design, and execution for web, API, and AI-based systems. Design and maintain regression test suites and ensure full coverage. Collaborate with Full Stack Developers, Data Scientists, and AI Engineers to define test strategies for LLM-based features. Own testing of AI-specific behaviors including: Hallucination and factual accuracy Consistency in prompt-response pairs Retrieval-Augmented Generation (RAG) flows Collaborate with developers, product owners, and other QA engineers in Agile teams. Must-Have Skills Deep experience in Functional Testing: Advanced REST API Testing (Postman, REST Assured, etc.) Integration, Acceptance, E2E, Smoke, Sanity, System Testing Strong foundation in Non-Functional Testing: Performance and Load Testing Stress and Security Testing Proficiency in Testing Methods: Black-box, White-box, Grey-box Testing Regression Testing lifecycle ownership Expertise in automation frameworks (e.g., Selenium, Playwright, Cypress, TestNG) Strong scripting/coding skills in Python (preferable) / Java / JavaScript Familiarity with containerized environments (Docker, Kubernetes)

DATA ENGINEER II 3+ years of experience in building data Pipelines with Python/PySpark Professional experience in Azure ETL stack ( eg. ADLS, ADF, ADB, ASQL/Synapse) 3+ years of experience with SQL Proficient understanding of code versioning tools such as Git and PM tool like Jira Show more Show less

Configure and test AI/ML product/system. Perform manual testing to identify and document quality issues. Perform exploratory and black box testing for AI features. Assist in testing AI-specific scenarios such as prompt stability and hallucination edge cases. Change system configurations to extract the best quality output. Manage and review the deliveries of a team of external team of manual QA. Collaborate with developers, product owners, and other QA engineers in Agile teams. Design, develop, and execute test cases for functional and non-functional requirements. Perform API, integration, acceptance, system, and end-to-end (E2E) testing. Write and maintain basic level of automation test scripts using tools like Selenium, Playwright, or similar, preferably in Python. Conduct regression, sanity, and smoke testing during CI/CD deployments. Ensure adequate test coverage for backend services and microservices. Must-Have Skills Attention to details Aptitude to learn and understand requirements even when clear documentation may not be available Experience with Testing Methods: o Black-box, White-box, and Grey-box testing Scripting knowledge in Python Strong experience in Functional Testing: o API Testing (Postman, REST Assured, etc) o Integration Testing o Acceptance Testing o End-to-End Testing o Smoke and Sanity Testing o System Testing Good understanding of Non-Functional Testing: o Load and Performance Testing (eg, JMeter, Locust) o Stress Testing o Security Testing basics Regression testing strategies and best practices Good-to-Have (AI Testing Focus) Familiarity on testing AI/ML products/systems. Familiarity with CI/CD pipelines (Azure DevOps, Gitlab, GitHub Actions, etc) Understanding of hallucination and prompt variability in LLMs. Experience or interest in RAG (Retrieval-Augmented Generation) system testing. Familiarity with evaluating LLM (large language model) outputs. Familiarity with data labeling and validation practices. Qualifications bachelors degree in Computer Science, Engineering, or related field. ISTQB certification or equivalent is a plus.

Strong knowledge of Python. Configure and test AI/ML product/system. Lead the quality assurance strategy and establish automation frameworks from scratch. Manage and mentor junior QA engineers and guide them in test automation and AI system validation. Own functional and non-functional testing across complex distributed systems. Own API, integration, acceptance, system, and end-to-end (E2E) testing. Lead test planning, test case design, and execution for web, API, and AI-based systems. Design and maintain regression test suites and ensure full coverage. Collaborate with Full Stack Developers, Data Scientists, and AI Engineers to define test strategies for LLM-based features. Own testing of AI-specific behaviors including: o Hallucination and factual accuracy o Consistency in prompt-response pairs o Retrieval-Augmented Generation (RAG) flows Collaborate with developers, product owners, and other QA engineers in Agile teams. Must-Have Skills Deep experience in Functional Testing: o Advanced REST API Testing (Postman, REST Assured, etc) o Integration, Acceptance, E2E, Smoke, Sanity, System Testing Strong foundation in Non-Functional Testing: o Performance and Load Testing o Stress and Security Testing Proficiency in Testing Methods: o Black-box, White-box, Grey-box Testing Regression Testing lifecycle ownership Expertise in automation frameworks (eg, Selenium, Playwright, Cypress, TestNG) Strong scripting/coding skills in Python (preferable) / Java / JavaScript Familiarity with containerized environments (Docker, Kubernetes) Good-to-Have (AI Testing Focus) Exposure to testing AI/ML products/systems. Experience of integrating tests into CI/CD pipelines (GitHub Actions, GitLab, Azure DevOps etc). Hands-on experience with AI testing tools or custom frameworks. Familiarity with evaluating LLM (large language model) outputs. Experience of validating RAG-based architecture. Understanding of hallucination detection metrics and prompt tuning. Exposure to safety audits for AI applications. Collaboration experience with Full Stack, Data Science, Data Engineering DevOps teams. Qualifications bachelors or masters in computer science, Engineering, or related field. Certifications in testing or security are a plus (eg, ISTQB, OWASP).

Content Manager will be responsible for creating, managing, and optimizing content across various channels to drive brand awareness, engagement, and lead generation. This role requires a blend of strategic thinking and hands-on execution. You will work closely with our marketing, data, and product teams to deliver high-quality content that aligns with Inxite Out's brand voice and mission. Additionally, you will be responsible for creating company credentials presentations that effectively communicate Inxite Out’s offerings, expertise, and value proposition to potential clients and partners. Job Location: Bangalore / Kolkata / Remote Report To: COO & Co-Founder Responsibilities Develop and implement a comprehensive content strategy that aligns with the company’s goals and target audience. Create, edit, and publish engaging content across multiple platforms (website, blog, social media, email newsletters, etc.). Collaborate with internal teams (marketing, data, product) to create content highlighting Inxite Out’s expertise in AI and data analytics. Develop company credentials presentations that communicate the company's capabilities, case studies, and value propositions to clients and stakeholders. Manage content calendars to ensure timely delivery of content across all channels. Optimize content for SEO and track performance using analytics tools to adjust strategies for maximum impact. Conduct research to stay updated on industry trends, customer insights, and competitive landscape to inform content development. Develop thought leadership pieces, case studies, whitepapers, and other in-depth content to showcase IXO’s capabilities. Oversee the content production process, from ideation to final publication, ensuring the highest quality and consistency across all materials. Manage and maintain the company’s content repository and ensure content is up to date and easily accessible. Collaborate with external content creators, designers, and other vendors as needed. The Right Candidate Will Bachelor's degree in Marketing, Communications, Journalism, or a related field. 3+ years of experience in content management, preferably in the tech or AI industry. Strong writing, editing, and proofreading skills with a keen eye for detail. Proven experience with SEO best practices and content marketing strategies. Experience creating client-facing presentations, particularly company credentials presentations, is a must. Ability to effectively communicate technical concepts to a non-technical audience. Job Perks Opportunity to work in an innovative and fast-paced environment at the forefront of AI and data analytics. Collaborate with a talented and motivated team that is passionate about solving real-world problems. Competitive salary and benefits package. Flexible work environment with opportunities for growth and career advancement Show more Show less

Summary: We re looking for a Full Stack Developer with 4-6 years of experience who can build and maintain robust web applications from end to end. You ll work across both front-end and back-end technologies primarily React, Angular, and Python to deliver clean, scalable code and seamless user experiences. Your strong understanding of UI/UX design , database skills, and exposure to modern DevOps practices will be key to delivering high-quality, user-centered applications. Key Responsibilities: Build and maintain dynamic & responsive web applications using React and Angular. Collaborate with UI/UX designers and work with Figma files to implement modern, user-friendly interfaces. Develop server-side logic with Python and manage structured and unstructured data using SQL and NoSQL databases . Integrate DevOps practices by contributing to CI/CD pipeline development and deployment workflows. Containerize applications using Docker and manage deployments in cloud environments. Optimize applications for maximum speed, scalability, and performance. Work with cross-functional teams to define features and implement scalable solutions. Troubleshoot, debug, and resolve application issues to enhance performance and usability. Must-Have Skills: 4-6 years of full stack development experience. Advanced skills in React and Angular for front-end development. Strong proficiency in Python for back-end logic and API development. Experience with relational and non-relational databases (e.g., PostgreSQL, MySQL, MongoDB). Hands-on experience working with Figma to implement UI/UX designs . Familiarity with Git and collaborative version control practices. Experience with CI/CD tools and pipelines (e.g., GitHub Actions, GitLab CI). Solid debugging skills and a strong eye for performance optimization. Familiarity with RESTful APIs and web services. Preferred Qualifications (Good to Have): Exposure to Docker for containerization and environment management. Knowledge of cloud infrastructure and deployment (AWS, Azure). Soft Skills: Strong communication and collaboration skills across technical and design teams. Adaptable in fast-paced, agile environments with shifting priorities.

As a Lead Analyst , you will play a strategic role in leading data-driven consulting engagements, designing advanced analytics solutions, and delivering actionable insights to clients. You will collaborate with cross-functional teams, manage BI projects, and enable clients to make data-backed business decisions. Key Responsibilities: Client Consulting & Strategy Partner with clients to understand business challenges, define business objectives, and develop data-driven strategies. Translate business problems into analytics solutions by leveraging BI dashboards, predictive modelling, and AI-driven insights. Act as a trusted advisor by delivering compelling presentations and actionable recommendations to senior stakeholders. Business Intelligence & Data Visualization Design, develop, and manage scalable BI dashboards and reporting solutions using tools like Power BI and Tableau. Drive data accuracy, consistency, and security in reporting solutions across different client engagements. Enable self-service BI for clients by setting up robust data visualization and exploration frameworks. Advanced Analytics & Insights Generation Perform deep-dive analysis on business performance metrics, customer behaviour, and operational trends. Define, develop and track key performance indicators (KPIs) to measure business success and identify improvement opportunities. Project & Stakeholder Management Lead multiple analytics and BI projects, ensuring timely delivery and alignment with client expectations. Work cross-functionally with data engineers, business consultants, and technology teams to deliver holistic solutions. Communicate findings through executive reports, data stories, and interactive presentations. Team Leadership & Development Build and grow a team of BI developers, data analysts, and business consultants. Foster a data-driven culture by providing training and upskilling opportunities for internal teams. Contribute to thought leadership by publishing insights, whitepapers, and case studies. Key Qualifications & Skills: Education : Bachelors or Master s degree in Business Analytics, Data Science, Computer Science, or a related field. Experience : 6+ years in business intelligence, analytics, or data consulting roles. Technical Expertise : Strong proficiency in SQL, Python, Excel, and other data manipulation techniques. Hands-on experience with BI tools like Power BI/Tableau. Knowledge of data engineering and data modelling concepts, ETL processes, and cloud platforms (Azure/AWS/GCP). Familiarity with predictive modelling and statistical analysis. Consulting & Business Acumen: Strong problem-solving skills and ability to translate data insights into business impact. Experience working in a consulting environment, managing client relationships and expectations. Excellent communication and storytelling skills, leveraging PowerPoint to present complex data insights effectively. Project & Stakeholder Management: Ability to manage multiple projects and collaborate across teams in a fast-paced environment. Strong leadership and mentorship capabilities, fostering a culture of learning and innovation

Azure Administrator - I This will be a member role to build cutting-edge technology products. Job Location: Bangalore / Kolkata / Remote Key Responsibilities: 1. Cloud Fundamentals (Azure & AWS) o Strong understanding of core cloud concepts (IaaS, PaaS, SaaS) and hands-on experience deploying/managing Azure resources (VMs, ADLS Gen2, ADF, Azure Databricks, Web Apps, Azure Functions). o Familiarity with AWS services (EC2, S3, IAM) is a plus. 2. Azure Administration & Operations o Manage Azure user/identity access (RBAC, Azure AD) o Optimize cloud costs and performance through monitoring, scaling etc o Troubleshooting issues on cloud resources. 3. DevOps, CI/CD Pipelines & Infrastructure as Code (IaC) o Hands-on experience with Azure DevOps/GitLab (repos, branching, PR workflows). o Develop and maintain YAML-based CI/CD pipelines for automated deployments. o Automate infrastructure provisioning using ARM, Terraform etc. 4. Containerization o Ability to containerize applications (Docker) and deploy them in cloud environments. 5. Collaboration & Problem-Solving o Work closely with developers to debug and optimize cloud deployments. o Good incident resolution skills and proactive troubleshooting. o Excellent communication and an ability for learning new technologies/ skills. The Right Candidate Will 1-2 years of experience in DevOps. Expertise with CI/CD tools like GitLab CI, GitHub Actions, or Azure DevOps. Proficiency in containerization (Docker, Kubernetes) and infrastructure as code (Terraform, CloudFormation). Strong scripting and automation skills (Python, Bash, PowerShell). Knowledge of network security, IAM, and best practices in cloud security. Demonstrate problem-solving skills and the ability to work under pressure. Possess excellent communication skills and work effectively with cross-functional teams. Be detail-oriented with a focus on security, reliability, and continuous improvement. Job Perks Competitive salary to begin. Opportunities to work with leading cloud technologies and contribute to innovative projects. A collaborative, dynamic work environment focused on professional growth and learning.

LEAD ANALYST: As a Lead Analyst , you will play a strategic role in leading data-driven consulting engagements, designing advanced analytics solutions, and delivering actionable insights to clients. You will collaborate with cross-functional teams, manage BI projects, and enable clients to make data-backed business decisions. Key Responsibilities: Client Consulting & Strategy Partner with clients to understand business challenges, define business objectives, and develop data-driven strategies. Translate business problems into analytics solutions by leveraging BI dashboards, predictive modelling, and AI-driven insights. Act as a trusted advisor by delivering compelling presentations and actionable recommendations to senior stakeholders. Business Intelligence & Data Visualization Design, develop, and manage scalable BI dashboards and reporting solutions using tools like Power BI and Tableau. Drive data accuracy, consistency, and security in reporting solutions across different client engagements. Enable self-service BI for clients by setting up robust data visualization and exploration frameworks. Advanced Analytics & Insights Generation Perform deep-dive analysis on business performance metrics, customer behaviour, and operational trends. Define, develop and track key performance indicators (KPIs) to measure business success and identify improvement opportunities. Project & Stakeholder Management Lead multiple analytics and BI projects, ensuring timely delivery and alignment with client expectations. Work cross-functionally with data engineers, business consultants, and technology teams to deliver holistic solutions. Communicate findings through executive reports, data stories, and interactive presentations. Team Leadership & Development Build and grow a team of BI developers, data analysts, and business consultants. Foster a data-driven culture by providing training and upskilling opportunities for internal teams. Contribute to thought leadership by publishing insights, whitepapers, and case studies. Key Qualifications & Skills: • Education : Bachelor's or Masters degree in Business Analytics, Data Science, Computer Science, or a related field.• Experience : 6+ years in business intelligence, analytics, or data consulting roles. • Technical Expertise : Strong proficiency in SQL, Python, Excel, and other data manipulation techniques. Hands-on experience with BI tools like Power BI/Tableau. Knowledge of data engineering and data modelling concepts, ETL processes, and cloud platforms (Azure/AWS/GCP). Familiarity with predictive modelling and statistical analysis. Consulting & Business Acumen: Strong problem-solving skills and ability to translate data insights into business impact. Experience working in a consulting environment, managing client relationships and expectations. Excellent communication and storytelling skills, leveraging PowerPoint to present complex data insights effectively. Project & Stakeholder Management: Ability to manage multiple projects and collaborate across teams in a fast-paced environment. Strong leadership and mentorship capabilities, fostering a culture of learning and innovation LEAD BUSINESS ANALYST: We are seeking a highly experienced and strategic Lead Business Analyst with over 10 years of proven expertise in business analysis, data analytics, and project delivery. The ideal candidate will have deep knowledge in risk, data governance, and KPI frameworks, with a successful track record of driving complex data-driven projects, compliance transformations, and performance automation. --- Key Responsibilities Business Analysis & Strategy Collaborate with stakeholders to gather, define, and analyze business requirements across projects. Develop Business Requirement Documents (BRDs) and functional specifications aligned with business goals. Project Delivery & Data Analytics Lead cross-functional teams to deliver data-centric projects such as scorecard creation, dashboards, and EDW redesign. Manage end-to-end project lifecycle, ensuring timely delivery of business insights and performance dashboards. Process Optimization & Automation Drive process enhancements by automating KPIs, Daily reports, and workflows. Conduct gap analysis, root cause analysis, and impact assessments to improve decision-making accuracy. Stakeholder & Client Engagement Serve as a point of contact for internal and external stakeholders, ensuring business objectives are translated into actionable analytics. Deliver high-impact demos and training sessions to clients and internal teams. --- Key Requirements 10+ years of experience in business analysis, preferably in EDW projects. Hands-on expertise with data analytics, data quality assessment, and KPI frameworks Technical proficiency in SQL Server, PowerBI/Tableau, Jira Strong documentation, stakeholder management. Experience with AI/ML product features and data governance practices is a plus --- Key Competencies Strategic Thinking and Problem Solving Strong Analytical and Communication Skills Agile and Cross-functional Team Leadership Data Strategy, Quality, and Visualization Critical Thinking and Decision-Making

Job Title: Senior Data Scientist Location: Kolkata/Bangalore (Remote/Hybrid options available) Company: Inxite-out Job Overview: We are seeking a highly skilled and experienced Senior Data Scientist to join our dynamic team. This role will involve leading data science initiatives, developing advanced machine learning models, and providing actionable insights for business strategies. The ideal candidate will have a strong background in data science, statistical analysis, and business problem-solving, with a passion for delivering high-quality solutions. Key Responsibilities & Skills: Lead the development of advanced predictive and prescriptive models using machine learning, forecasting and other statistical methods Working knowledge of regression, classification, clustering, association algorithms and model optimization techniques Work closely with business stakeholders to understand requirements and translate them into data science solutions Design and implement end-to-end data science workflows, including data collection, preprocessing, feature engineering, model building, and evaluation Collaborate with cross-functional teams to deploy and integrate models into production environments Perform model validation, fine-tuning, and optimization to ensure accuracy and scalability Identify and investigate anomalies or unexpected behaviours in model outputs Build REST APIs using Fast/Flask, move models into production, ensure expected accuracies and throughput for the model Mentor and guide junior data scientists, providing technical expertise and leadership Qualifications: Bachelors or master’s in computer science, Statistics, Mathematics, Engineering, or a related field 4+ years of experience in data science or a similar analytical role, with a proven track record of delivering impactful projects Strong proficiency in python with experience in libraries like pandas, NumPy, Spacy, TensorFlow, Scikit-learn etc. Experience in working with cloud platforms (Azure), Databricks, PySpark Strong theoretical and practical knowledge of ML model development, hyper-parameter tuning, and production deployment Solid understanding of statistical analysis, data mining, feature engineering Strong problem-solving skills with the ability to think critically and adapt to complex business challenges Excellent communication skills with the ability to explain complex data-driven concepts to a non-technical audience Experience in leading and mentoring junior team members. Strong understanding of MLOps- lifecycle of a machine learning model Additional Skills (good to have): Knowledge of deep learning, CNN, MLP, OpenCV etc. Working knowledge of NLP/GenAI based solutions Experience working with SAP (S/4 HANA, BW) is a plus