Cleaning Services Jobs in Bengaluru

Position: Customer Lifecycle Manager Location: Bengaluru Department: Marketing Job Type: Full-Time About Laundryheap: Laundryheap is a fast-growing tech start-up that is revolutionizing the laundry and dry cleaning industry. We offer fast, reliable service with a 24-hour turnaround, currently operating in 14 global markets. As we expand and grow our dynamic team, we continue to disrupt the industry and deliver exceptional service to our customers worldwide. Role Objective: We are looking for a Customer Lifecycle Manager to drive customer engagement, retention, and long-term value (LTV) in a fast-paced, global environment. This role is crucial in fostering repeat customers on the Laundryheap app and website, utilizing data-driven strategies to enhance customer engagement across various digital channels. The ideal candidate will have a deep understanding of user journeys, retention marketing, and the importance of lifecycle marketing in enhancing customer satisfaction and maximizing customer lifetime value. Your primary objective: How do we make customers place order after order on Laundryheap s app? This will involve leveraging all available resources, including data, tools, cross-functional teams, and marketing channels. Key Responsibilities: Lifecycle Campaign Design & Execution: Define, design, and deploy customer communication journeys aligned with key lifecycle stages, using customer intent signals and lifecycle triggers across multiple channels (SMS, WhatsApp, Email, Push, In-App messaging). The goal is to drive timely actions, leading to habit formation and sustained engagement. Campaign Management: Manage end-to-end campaign setup, including logic, segmentation, creative assets, QA, launch, monitoring, and ongoing optimization. Own campaign design and execution using CRM tools like Braze, defining trigger logic, target audiences, templates, and communication frequency. Performance Analysis & Optimization: Monitor and analyze campaign performance using key platform and channel-specific metrics (e.g., deliverability, conversion rate (CVR), repeat purchase rate, frequency, and LTV). Conduct A/B and multivariate tests to refine messaging, cadence, and channel mix. Localization & Global Collaboration: Ensure all campaigns are localized and relevant to different global markets, working with in-market teams to ensure accurate translations and local insights. Collaborate with Brand, Product, and Customer Research teams to meet campaign goals. Data-Driven Insights & Reporting: Translate customer data and lifecycle metrics into actionable insights for campaign improvement. Leverage data to craft targeted, insight-led campaigns that influence user behavior. Collaboration & Creativity: Work closely with designers and copywriters to create impactful templates that drive customer engagement and conversions. Coordinate with cross-functional teams to ensure a seamless customer experience. Must-Have Experience & Skills: Experience: 3 5 years of hands-on customer lifecycle management experience, preferably in E-commerce or on-demand web and app-based businesses. CRM & Tools Expertise: Proven experience working with CRM tools and content management systems like Customer.io, Braze, or similar platforms. Analytical Skills: Strong analytical skills with the ability to interpret customer data, identify behavioral patterns, and translate insights into actionable strategies. Technical Knowledge: Understanding of email deliverability, push notifications, in-app messaging, and SMS/WhatsApp performance optimization and best practices. Project Management & Organizational Skills: Excellent project management and organizational skills, with the ability to manage multiple initiatives across global markets in a fast-paced, performance-driven environment. Communication & Copywriting: Strong written communication skills with a customer-first mindset, capable of developing persuasive and engaging messaging. Growth Mindset: Comfortable working in a test-and-learn environment, always striving for optimization and efficiency to improve lifecycle outcomes. Be part of a dynamic and fast-growing team in a globally expanding company. Work on innovative projects that push the boundaries of customer engagement. Competitive compensation and benefits in a high-performance culture. Opportunities for personal and professional growth in an international business.

Position: Vendor Management Associate Location: Bengaluru Department: Partner Operations Job Type: Full-Time About Laundryheap: Laundryheap is a fast-growing tech start-up that is transforming the laundry and dry cleaning industry. We offer a revolutionary service that picks up, cleans, and delivers laundry within 24 hours, and are currently available in 14 markets worldwide. After our successful launch, we are expanding our team to drive further growth and continue our global expansion. The Role: As a Vendor Management Associate, you will be a key player in supporting and enhancing the performance of our partner facilities across various regions. Reporting directly to the Compliance Manager, you will be responsible for ensuring smooth daily operations, resolving partner issues, and maintaining high-quality standards and scalability within our partner network. Your role will be crucial in driving performance, consistency, and operational excellence within our partner operations. Key Responsibilities: Oversee Daily Operations: Ensure consistent, high-quality service delivery from partner facilities, monitoring operations to maintain Laundryheap's standards. Partner Onboarding & Offboarding: Manage the end-to-end process for onboarding and offboarding partners, ensuring they meet operational standards and align with our business goals. Monitor & Support Partner Performance: Track and monitor Key Performance Indicators (KPIs) and partner performance, ensuring that operational targets are consistently met. Provide ongoing support to partners as needed. Conduct Regular Check-ins & Reviews: Lead virtual check-ins with partners to review their progress, address concerns, and reinforce expectations. Conduct monthly performance reviews covering key metrics such as capacity, quality, complaints, payments, and audit outcomes. Issue Resolution & Escalation Management: Proactively resolve partner issues and manage escalations to ensure minimal service disruptions and optimal partner satisfaction. Training & Development: Identify training needs for both new and existing partners and ensure that performance standards are consistently met. Organize and deliver training when necessary. Cross-Functional Collaboration: Collaborate with internal teams (e.g., Regional Associates, Operations) to support order processing, inventory management, and administrative tasks, ensuring smooth operational flow across functions. Continuous Improvement: Contribute to cross-functional initiatives, process improvements, and sourcing strategies to enhance overall partner performance and operational efficiency. Skills & Requirements: Strong Communication & Relationship Management: Excellent interpersonal skills with the ability to build and maintain positive relationships with internal teams and external partners. Analytical Ability: Strong analytical skills, with the ability to interpret data and present actionable insights to improve operational processes. Organizational Skills: Highly organized, proactive, and detail-oriented, with the ability to multitask and stay focused in a fast-paced, dynamic environment. Accountability & Adaptability: Strong sense of ownership and accountability, with the ability to adapt to changing priorities and work autonomously. Language Skills (Good to Have): Proficiency in French, Spanish, Hindi, Urdu, Arabic, or Bengali is a plus. Preferred Experience: CRM & BI Tools: Familiarity with CRM platforms, Business Intelligence tools, or Google Data Studio for performance tracking and reporting. International Operations: Exposure to managing international operations or B2B commercial processes, preferably in high-growth environments. Relevant Industry Experience: 2+ years of experience in a high-growth, operations-focused role. Experience in the laundry or dry cleaning industry is a plus. At Laundryheap, we offer a fast-paced, collaborative environment where you can take ownership of your role, grow your skills, and make a real impact from day one. If you're looking to build your career in operations and be part of a supportive and ambitious team, we'd love to have you on board.

Position: Customer Support Associate - Escalation Specialist Location: Bengaluru Department: Customer Operations Job Type: Full-Time About Laundryheap: Laundryheap is an award-winning, industry-leading startup revolutionizing the laundry and dry cleaning service. We offer fast and reliable service, collecting, cleaning, and delivering items within 24 hours, making us one of the quickest services in the industry. With our headquarters in the UK and operations in 14 international markets, we are rapidly expanding across Europe, Asia, and North America. As we continue to grow, we are looking for an Escalation Specialist to join our dynamic Customer Operations team in Bengaluru. This is an exciting opportunity to make a real impact by turning challenging customer experiences into positive resolutions. The Role: As part of our Escalations team, you will be the voice that handles escalated or complex customer queries. Your ability to manage customer issues, such as claims and refunds, will play a key role in maintaining customer satisfaction and loyalty. You will work across multiple time zones to support our global customer base. This role requires someone who is energetic, detail-oriented, and adaptable to work in rotating shifts. If you thrive in a fast-paced, customer-centric environment and are ready to take ownership of challenging customer situations, this is the role for you. Key Responsibilities: Investigate & Resolve Complex Queries: Manage escalated customer issues (e.g., claims, refunds), thoroughly investigating and getting to the root cause to reduce future problems. Propose Fair, Customer-Centric Solutions: Utilize creativity and problem-solving skills to offer fair and customer-focused solutions, all while adhering to company policies and processes. Analyze Customer Trends: Share insights and highlight recurring issues or trends to improve overall customer journeys and internal processes. Collaborate Across Teams: Build strong relationships with colleagues across the Operations and wider business teams to ensure consistent service delivery. Deliver Timely Outcomes: Ensure fair and timely outcomes for customers while maintaining Laundryheap s brand reputation. Meet KPIs: Consistently meet and exceed key performance indicators (KPIs) that drive business results and improve customer experience. What We re Looking For: Excellent English Communication Skills: Strong written and spoken communication skills with an ability to interact clearly and professionally with customers. Customer Service Experience: Prior experience in customer service or operations, ideally within e-commerce, consumer services, or fast-paced industries. Confident & Clear Communicator: Ability to handle challenging conversations with customers and write professional, clear, and empathetic responses. Strong Attention to Detail: Ability to focus on quality and speed, ensuring customer queries are resolved effectively. Problem Solver: A proactive approach to solving problems and finding innovative solutions, with a focus on improving processes for the future. Tech-Savvy: Comfortable using various tools and adapting quickly to new systems and processes. Adaptability: Ability to thrive in a dynamic, fast-paced environment and handle multiple tasks simultaneously. Prioritization Skills: Ability to prioritize tasks effectively and manage customer expectations. (Bonus) French Language Skills: Additional proficiency in French would be a plus. Location: Willingness to commute to our Bengaluru office (WeWork location). Global Exposure: Work with a rapidly growing global brand and gain exposure to international markets and complex customer operations. Collaborative Environment: Join a dynamic team where your ideas are valued, and you can actively contribute to how we improve and deliver customer support worldwide. Career Growth: Be part of a fast-growing company where opportunities for learning and professional development are abundant. Make an Impact: Directly contribute to shaping how we support and delight our customers across the world.

Position: Associate - Logistics Operations Department: Logistics & Linen Operations Location: Bengaluru Employment Type: Full-Time About Laundryheap: Laundryheap is a fast-growing, award-winning startup revolutionizing the laundry and dry cleaning industry. Operating in 14 global markets and expanding rapidly across Europe, Asia, and North America, we re proud to offer one of the quickest services in the business delivering clean clothes within 24 hours. Role Overview: As an Associate in Logistics Operations, you ll play a key role in ensuring the smooth execution of our live delivery operations. Reporting to the Assistant Regional Manager, you will manage real-time driver activity, optimize routes, and provide essential support to our drivers, ensuring operational excellence and customer satisfaction. What You ll Do: 1. Operations & Route Management: Oversee live delivery operations to ensure routes are executed smoothly and orders are completed on time. Provide real-time support to drivers via chat, calls, or internal platforms. Optimize route plans for maximum efficiency and minimal delays. Proactively resolve any on-route issues such as delays, misrouted deliveries, or driver emergencies. 2. Driver Support & Performance: Address inbound driver queries related to payments, schedules, feedback, and general support. Log driver interactions, escalate unresolved issues, and ensure follow-ups are completed. Ensure adequate driver coverage across multiple time zones to meet live operational demand. 3. Operations & Project Support: Contribute to team goals by supporting or initiating projects aimed at streamlining operations. Maintain internal documentation and knowledge bases to ensure up-to-date resources. Monitor KPIs, identify performance bottlenecks, and ensure service level agreements (SLAs) are met. Collaborate with teams across regions (UK, US, Singapore) to ensure smooth cross-functional operations. Required Skills & Experience: Education: Bachelor s degree or equivalent. Experience: 3 5 years in operations, logistics, or support (experience in international environments is a plus). Skills: Strong communication skills, both verbal and written. Ability to handle high-pressure, fast-paced environments with poise. Experience with driver or agent onboarding (calls/video) and live operational support. Proficient in email, chat support tools, and Google Sheets/MS Excel. Flexibility to work night or rotational shifts. Strong stakeholder management skills. A proactive, solution-oriented mindset with a focus on empathy. Preferred Skills: Experience in international support chat (US/EU region preferred). Background in startups, logistics, or last-mile delivery operations. Familiarity with live route planning tools and CRM systems. Analytical mindset with an ability to interpret operational data. Why You Should Join Us: Growth & Impact: Be part of a fast-paced, international startup where your contributions make a tangible impact on day-to-day operations. Global Collaboration: Work alongside teams from across the globe, contributing to innovative solutions and continuous improvement. Career Growth: Enjoy high visibility in a flat team structure and rapid career growth opportunities. Qualification : Bachelors degree or equivalent

Position: Senior Associate - Logistics - US Voice Process Department: Logistics & Linen Operations, Fleet Operations Employment Type: Full time Location: Bengaluru Overview Laundryheap is an award-winning and industry-leading startup that is revolutionizing laundry and dry cleaning. We collect, clean, and return customers' items in as little as 24 hours, often making us the fastest in our industry. Headquartered in the UK, our service is available in 14 international markets, and we re currently in the process of expanding further across Europe, Asia, and North America. We are currently looking for a Senior Associate Driver Operations US Voice Process to join our fast-growing Fleet team at our office in Bangalore, India. As we are an international brand working with different time zones, we require the potential candidate to be flexible to work in shift patterns. You ll make a difference: Reporting to the Senior Division Manager, as the Senior Associate Driver Operations US Voice Process you will be responsible for supporting the Fleet Team for the EU market and ensuring the entire supply of contractors (Partner Drivers) is taken care of. The roles & responsibilities can be broadly outlined as follows: Recruiting Partner Drivers: Make outbound calls to potential drivers and guide them through our recruitment process. Driver Support: Handle inbound emails and chats from drivers, assisting with payment questions, feedback, work confirmation, and contract issues. Quality Assurance: Investigate and correct any errors made by partner drivers. Mentorship: Guide and support team members to achieve their goals and improve. KPI management: Monitor Key Performance Indicators (KPIs) for the team, Identify areas for improvement and implement strategies to achieve KPI targets. Coordination: Liaise with drivers globally and collaborate with teams in London, the US, and Singapore. Driver Management: Respond to driver queries, manage performance, and ensure driver supply meets client demand. Project Leadership: Lead projects to improve our operations. Required skills: Bachelor s degree or equivalent. Proven experience with a minimum of 3 years. Excellent communication skills, both verbal and written, with the ability to explain the process and policies clearly to drivers. Past experience working in the night shifts/rotational shifts. Email and chat process experience. Ability to work in a fast-paced and dynamic environment, handling multiple driver-related issues simultaneously. Foster a collaborative and positive work environment. Empathy and a customer-centric approach to problem-solving, ensuring a positive experience for drivers. Preferred Skills: Previous experience in International voice process (US/EU calling), preferably with exposure to supporting drivers. Previous experience in operations and logistics is a big plus! Previous experience in a startup is a big plus! Qualification : Bachelors degree or equivalent

Job Title: Facilities Manager Location: Bengaluru Role Overview The Facilities Manager ensures the smooth, safe, and sustainable operation of all physical infrastructure and services supporting the organization s activities. This role requires a blend of technical expertise, leadership, strategic vision, and a commitment to sustainability, safety, and operational excellence. Key Responsibilities 1. Communication & Leadership Lead and coordinate teams across maintenance, cleaning, security, and other facility-related functions. Delegate tasks effectively and maintain clear communication channels within teams and with other departments. Propose facility improvements and collaborate with stakeholders to implement solutions. 2. Technical Proficiency & Maintenance Oversee operation and maintenance of facility machinery and systems including electrical systems, HVAC, generators, boilers, and IT infrastructure. Conduct regular assessments and troubleshoot issues promptly to minimize downtime and ensure cost-effective operations. Manage vendor relationships for equipment servicing and maintenance contracts. 3. Safety & Crisis Management Develop and implement safety protocols, emergency response plans, and hazard mitigation strategies. Monitor compliance with safety regulations and standards to provide a secure work environment. Coordinate security services and ensure technological systems (CCTV, alarms, etc.) are operational. 4. Sustainability Initiatives Evaluate and improve energy efficiency across facilities (e.g., lighting, insulation, windows). Implement eco-friendly cleaning practices and promote recycling and waste reduction programs. Conduct sustainability training and hire contractors aligned with environmental goals. 5. Team & Conflict Management Manage schedules, workflow, and performance of maintenance, cleaning, and security teams. Resolve conflicts and promote a collaborative work culture. 6. Budgeting & Financial Oversight Prepare and manage the facilities budget, balancing operational efficiency with cost constraints. Plan for equipment lifecycle management, staffing, training, and other necessary expenditures. 7. Analytical Thinking & Strategic Planning Analyze operational data to optimize resource allocation and process improvements. Conduct risk assessments and safety audits to guide facility enhancements. Set goals aligned with organizational priorities and monitor progress. 8. Networking & Professional Development Build and maintain relationships with vendors, contractors, and industry professionals. Stay updated on emerging technologies, innovations, and regulatory changes affecting facilities management. Leverage network insights to improve facility operations and team capabilities. 9. Vision & Innovation Develop and execute a forward-looking facilities strategy aligned with the company s mission and growth objectives. Promote a culture of continuous improvement and innovation within the facilities team. Required Skills and Qualifications Proven experience in facilities management or related role. Strong technical knowledge of building systems, electrical, HVAC, and maintenance operations. Excellent communication and team leadership skills. Proficient in budgeting, financial planning, and vendor management. Demonstrated ability to manage safety protocols and emergency preparedness. Analytical mindset with strong problem-solving skills. Commitment to sustainability and eco-friendly practices. Preferred Qualifications Degree in Engineering, Facilities Management, or related field. Certification in Facility Management (e.g., IFMA, BIFM) is a plus. Experience with modern facility management software and tools. Knowledge of local safety and environmental regulations. Qualification : Degree in Engineering, Facilities Management, or related field.

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.

Data Architect Bangalore, India Location: Bangalore (Bengaluru) Experience: 10 to 15 Years Industry: IT & Data Systems Job Summary: We are seeking an experienced Data Architect with a strong background in designing and implementing enterprise-scale data solutions. The ideal candidate will have expertise in building data lakes, warehouses, and pipelines, with deep knowledge of cloud platforms, data management, and industry best practices. Key Responsibilities: Design, develop, and maintain complex data architectures including data lakes, data warehouses, data marts, and efficient schema design Build and optimize scalable data pipelines for extraction, transformation, and loading (ETL/ELT) processes Apply Agile methodologies in project delivery and collaborate within cross-functional teams Perform data profiling, cleansing, conversion, and ensure high-quality data management for both structured and unstructured data Implement CI/CD and Infrastructure as Code (IaC) practices using tools like GitHub, Jenkins, CloudFormation, and Azure Resource Manager Manage database systems and tools such as PostgreSQL, Oracle, Snowflake, Teradata, MongoDB, Hadoop, and others Utilize data modeling tools like Erwin, Power Designer, and Toad for effective data architecture design Leverage cloud platforms including AWS and Microsoft Azure, with hands-on experience in services like AWS Glue, DMS, Lambda, Azure Data Factory, Synapse, and Data Lake Storage Work with programming and scripting languages including SQL, PL/SQL, Python, Spark, YAML, and JSON Use containerization and automation tools such as Docker, Ansible, and NodeJS for efficient deployment Ensure compliance with cybersecurity principles and frameworks such as NIST Lead data governance initiatives and enforce best practices in data quality and security Preferred Qualifications: ITIL certification and experience with Agile methodology Knowledge of code review and version control best practices, especially in GitHub Familiarity with data science tools and AI/ML frameworks like R, Keras, or TensorFlow Experience with natural language processing (NLP) and machine learning concepts Background in regulated industries, with pharma manufacturing experience highly preferred Exposure to multi-site, global IT projects and manufacturing operations Lead innovative data architecture projects within a dynamic and fast-paced environment Work with cutting-edge cloud technologies and big data ecosystems Collaborate with global teams on impactful enterprise solutions Access to professional growth opportunities in data governance, AI, and cloud technologies

Manager Client Services GetThere Support Team Location: Bengaluru, Karnataka, India Employment Type: Full-time About Serko Serko is a leading global technology platform revolutionizing business travel and expense management. We connect passionate travelers and technologists through the world s premier business travel marketplace. As an equal opportunity employer, we celebrate diversity and inclusion, fostering an authentic and collaborative workplace culture. Join us as we expand our footprint in India and transform corporate travel with innovative solutions. Position Overview: Manager Client Services GetThere Platform Serko is hiring an experienced Application Manager to lead our Bengaluru-based support team for GetThere, a multi-GDS (Global Distribution System) online booking tool trusted by thousands of corporate clients worldwide. This role combines hands-on case management with strategic team leadership to ensure exceptional customer support and operational excellence. Key Responsibilities Lead & Mentor Support Team: Manage and develop the Bangalore-based GetThere customer support team, ensuring efficient resolution of day-to-day client cases. Case Management: Personally handle complex customer issues, delivering timely and high-quality support solutions. Process Improvement: Design and implement optimized support workflows to enhance team productivity and customer satisfaction. Cross-functional Collaboration: Coordinate with global teams to align on support strategies and share industry best practices. Reporting & Analytics: Track key support metrics and prepare detailed reports to guide leadership decisions. Required Skills & Qualifications Proven experience managing application support teams, ideally in the travel technology or SaaS sectors. Strong knowledge of travel industry GDS platforms such as Sabre, Amadeus, and Travelport. Proficiency in Microsoft Office Suite (Outlook, Word, Excel). Exceptional problem-solving skills with the ability to perform under pressure. Excellent communication and leadership capabilities. Bachelor s degree in Information Technology, Business, or a related field. Competitive Salary & Benefits: Attractive base pay with medical benefits and discretionary incentives linked to individual and company performance. Career Growth: Access to dedicated learning & development platforms and opportunities to shape your career path. Flexible Work Policy: Supportive work environment promoting work-life balance. Innovative Culture: Collaborate with engaged teams driven to deliver impactful, high-quality business travel solutions. Apply today to join Serko s fast-growing Bengaluru hub and be part of the future of global business travel technology! Qualification : Bachelors degree in Information Technology, Business, or a related field.

Role: Senior Analyst Machine Learning Performance & Testing Location: Bengaluru, Karnataka, India Experience: 3 5 Years Employment Type: Permanent, Full-Time About the Role We are seeking a skilled and detail-oriented Senior Analyst with strong experience in ML model performance testing, load testing, and end-to-end (E2E) automation. This role is focused on ensuring scalable, low-latency deployment of production-grade machine learning models. The ideal candidate will be proficient in evaluating model performance under varied workloads, building robust test frameworks, and enhancing system monitoring. Key Responsibilities Conduct load testing and performance benchmarking for machine learning models under varying requests per second (RPS) scenarios. Develop and automate end-to-end test cases to validate model readiness and support smooth rollouts. Monitor and improve model scalability, response time, and error rates across production environments. Collaborate with ML engineers, backend developers, and QA test teams to ensure seamless integration and testing workflows. Identify and address bottlenecks in model inference, helping improve performance for high-volume, low-latency applications. Set up alerting and observability pipelines for model health using industry-standard tools. Required Skills & Tools Performance Testing & Monitoring: ML Load Testing, Job Monitoring, Model Scalability Evaluation Platforms & Tools: Databricks, MLflow, Seldon, Kubeflow, Tecton, Jenkins Cloud Services: Experience with AWS and deploying/testing models in cloud environments Programming Languages: Proficiency in at least one of the following Python, Java, Scala Experience: Working with production-level ML models, especially involving high data volumes and real-time inference Strong communication skills and ability to work in cross-functional teams Preferred Qualifications Hands-on experience with CI/CD pipelines for ML systems Knowledge of A/B testing and canary deployments for ML models Experience building testing frameworks for ML infrastructure at scale Understanding of monitoring and alerting best practices in production ML systems Be at the forefront of ML operations and model performance optimization Collaborate with industry-leading engineers and contribute to cutting-edge AI deployments Gain deep exposure to real-time data systems, cloud platforms, and enterprise-scale ML testing Competitive compensation and an innovative, fast-paced work environment

Artificial Intelligence Engineer Experience: 3 - 8 Years Location: Bangalore (Work from Office) Job Overview We are seeking a talented and experienced Artificial Intelligence Engineer to join our dynamic team. You will be responsible for designing, training, and deploying advanced AI and machine learning models to solve complex business problems. The ideal candidate will have strong expertise in Python, deep learning frameworks, and handling large datasets, coupled with the ability to integrate AI solutions seamlessly into existing systems. Technical Skills Proficiency in programming languages such as Python, R, or Java. Strong experience with machine learning algorithms (regression, classification, clustering). Hands-on expertise with deep learning frameworks like TensorFlow and PyTorch. Skilled in data manipulation, cleaning, and preprocessing techniques. Experience integrating AI models into existing applications and systems. Familiarity with cloud platforms (AWS, Azure, GCP) for AI model deployment. Preferred Skills Proficiency in Python with NLP libraries such as OpenAI s GPT, LangChain, etc. Knowledge of Large Language Models (LLMs) and fine-tuning methodologies. Experience with Retrieval-Augmented Generation (RAG) to enhance AI responses. Ability to develop and host APIs (preferably on IIS). Basic understanding of SQL and expertise in training, tuning, and deploying models leveraging SQL databases. Benefits Flexible working hours Learning and development opportunities Medical and insurance benefits Company Core Values Positive attitude and collaborative approach to achieving team goals. Clear and respectful communication skills (verbal and written). Emphasis on teamwork over individualism it s all about the we , not the me **. Growth mindset with a commitment to continuous learning and skill improvement. About In4Velocity Since 2004, In4Velocity has been a trusted partner for real estate, construction, and infrastructure companies, helping streamline their operations through innovative technology. Our flagship product, In4Suite , provides a comprehensive, unified ecosystem connecting all aspects of real estate organizations for a full 360-degree view. Supported by a powerful Business Intelligence system and unparalleled global support, our product is the go-to platform for digital transformation in real estate development and construction management worldwide. Join us to be part of a pioneering force driving innovation and progress in the real estate domain.

Data Engineer Location: Bengaluru Department: Global Strategic Services Data Engineering EMEA Type: Full-Time | Hybrid About Cognite Cognite is a global SaaS company at the forefront of industrial digital transformation. Our core platforms Cognite Data Fusion (CDF) and Cognite Atlas AI leverage AI and data to solve complex challenges across oil & gas, chemicals, pharma, manufacturing, and energy sectors. Recognized globally for innovation, Cognite helps businesses improve efficiency, reduce costs, and operate more sustainably. Our Values Impact: We focus on outcomes that truly make a difference. Ownership: We take responsibility and work inclusively to deliver success. Relentless: We are persistent problem-solvers who view challenges as growth opportunities. About the Team You ll join Cognite s Global Customer Success (GCS) organization spanning offices in Oslo, Austin, Houston, Tokyo, and now Bengaluru. The GCS team includes Project Managers, Data Engineers, Data Scientists, and Solution Architects, all working on high-impact industrial use cases across regions including MENA and SEA. About the Role As a Data Engineer, you'll play a key role in solving real-world industrial problems by designing, building, and optimizing scalable data architectures. You ll create robust pipelines to integrate and contextualize data using Cognite Data Fusion, working closely with cross-functional teams. This is also a growth role with the opportunity to step into a Tech Lead position. Key Responsibilities Design and implement scalable data solutions using Cognite Data Fusion. Integrate data sources using Cognite connectors, SQL, Python/Java, and REST APIs. Develop custom data models for cleansing, discovery, and mapping. Work with data scientists, architects, and PMs to deliver client outcomes. Conduct code reviews and apply best practices in maintainability and quality. Support customers and partners with data engineering tasks and challenges. Collaborate with Engineering and Product teams to influence product roadmap. What You ll Bring Bachelor's or Master s in Computer Science or related field. 3 5 years of experience in data-focused, customer-facing roles. Strong experience with Python, SQL, and REST APIs for production-grade pipelines. Familiarity with data from industrial domains like oil & gas or manufacturing is a plus. Experience with Kubernetes, Azure/GCP, and modern DevOps practices. Comfortable with Git, CI/CD, and cloud-native deployment workflows. A proactive, collaborative mindset with a passion for problem-solving and learning. Join a diverse global team with 70+ nationalities and a strong commitment to DEI. Work in a modern hybrid environment at our Bengaluru office (Rathi Legacy, Hoodi). Be part of a flat, transparent culture with direct access to leadership. Build cutting-edge solutions and influence how industries evolve digitally. Learn from top engineers and contribute to ambitious, high-impact projects. Enjoy a respectful, fun, and collaborative workplace where your voice matters. If you re excited to build data infrastructure that powers real change in heavy industries, Cognite offers you a platform to grow, lead, and innovate. We welcome candidates from all backgrounds and identities apply today and be part of something meaningful. Qualification : Bachelor's or Masters in Computer Science or related field.

Senior Data Engineer Location: Bengaluru Department: Global Strategic Services Data Engineering EMEA Type: Full-Time | Hybrid About Cognite Cognite is a global SaaS leader driving industrial digital transformation. Our platforms Cognite Data Fusion and Cognite Atlas AI enable companies across Energy, Utilities, Manufacturing, and Chemicals to solve complex challenges using AI, contextual data, and automation. Cognite is backed by top-tier investors and recognized with global innovation awards. Our Values Impact: We deliver results that matter. Ownership: We take initiative, act inclusively, and embrace accountability. Relentless: We pursue excellence and innovation with resilience. About the Role As a Senior Data Engineer, you ll lead the development of scalable data solutions that empower critical industries to make informed decisions. You ll work on high-impact projects across regions, collaborating with solution architects, data scientists, and product teams. This is a growth role with room to influence product direction and mentor junior engineers. Key Responsibilities Architect and implement robust data pipelines using Cognite Data Fusion, Python, SQL, and REST APIs. Lead integrations, data modeling, and transformation tasks using cloud-native technologies. Design custom data models for discovery, mapping, and cleansing industrial data. Collaborate closely with cross-functional teams to deliver digital solutions. Conduct code reviews and champion engineering best practices. Contribute to Cognite s SDKs and internal tools. Translate customer use cases into scalable, reusable data engineering frameworks. Mentor team members and support customer onboarding when needed. What You ll Bring Bachelor s or Master s in Computer Science or related field (or equivalent experience). 5+ years in a data-intensive, customer-facing engineering role. Expertise in Python, SQL, REST APIs, and pipeline orchestration. Experience with distributed computing, Kubernetes, and cloud platforms (Azure, GCP). Familiarity with data from industrial domains like oil & gas or manufacturing is a plus. Strong DevOps mindset with hands-on experience in Git, CI/CD, and deployments. Proactive and collaborative; able to work independently and solve complex challenges. A growth mindset with willingness to ask for help and share knowledge openly. Be part of a global team spanning 70+ nationalities with strong DEI focus. Work at our Bengaluru office (Rathi Legacy, Hoodi) in a modern hybrid environment. Enjoy flat hierarchy, fast decision-making, and high ownership culture. Collaborate with world-class professionals on industry-transforming projects. Shape the future of industrial data and drive real-world impact at scale. If you re passionate about solving meaningful problems with cutting-edge data technologies, apply today. We welcome applicants from all backgrounds and experiences you might be the perfect fit, even if you don t meet every single requirement. Qualification : Bachelors or Masters in Computer Science or related field (or equivalent experience).

Data Scientist Location: Bengaluru Department: Global Strategic Services Data Science EMEA Type: Full-Time | Hybrid About Cognite Cognite is a global SaaS leader harnessing AI and data to solve complex business challenges across industries such as Oil & Gas, Chemicals, Pharma, Manufacturing, and Energy. Our flagship solutions include Cognite Atlas AI, an industrial agent workbench, and the Cognite Data Fusion (CDF) platform. Recognized as a 2022 Technology Innovation Leader and the 2024 Microsoft Energy and Resources Partner of the Year, Cognite is at the forefront of industrial digital transformation. Our Values Impact: We focus on meaningful results. Ownership: We take responsibility, foster inclusivity, and share success. Relentless: We pursue innovation with determination and resilience. Who You Are 3+ years of industry experience (or academic equivalent) in Oil & Gas, Manufacturing, or Power & Utilities, developing analytical solutions for production optimization, predictive maintenance, and related applications (e.g., well monitoring, event prediction, production planning). 1+ years serving as a domain expert on internal or customer projects. Proficient in Python and its data ecosystem (pandas, numpy), and ML libraries such as scikit-learn, Keras, etc. Skilled in data visualization tools like PowerBI, Grafana, Tableau, or web frameworks like Plotly Dash, Streamlit. Advocates for software best practices, including automated testing and documentation. Experienced with version control systems such as Git. Comfortable contributing to large-scale software projects. Pragmatic thinker able to balance short- and long-term tradeoffs. Trusted advisor on machine learning applications, with excellent communication skills for technical stakeholders and customers. Experienced mentor and quality assurer for junior team members. Cloud experience, including building streaming models and deploying serverless functions. Track record working across diverse industries. Eager to stay current with advances in generative AI and explore its practical applications for customers. Be part of a diverse global team with 70+ nationalities and a strong commitment to Diversity, Equality, and Inclusion (DEI). Work from our Bengaluru office (Rathi Legacy, Hoodi) in a modern hybrid environment. Benefit from a flat organizational structure with direct access to decision-makers. Collaborate on impactful, ambitious projects alongside talented professionals across industries. Engage with our community through internal HUBs and open conversations. Make an Impact Join Cognite and help transform industrial sectors by enabling better decisions through AI and data. We encourage candidates of all backgrounds to apply. If you re ready to grow and innovate with us, apply today!

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

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

Job Title: Business Intelligence (BI) Lead Life Sciences Sector About the Role: As the BI Lead, you will spearhead and develop Business Intelligence (BI) projects within the team, focusing on constructing an analytical data layer, developing custom BI reporting solutions, monitoring platform performance, and enabling self-serve reporting for Regional Business Units (RBU) and Global Business Units (GBU). Your primary responsibility is to deliver high-quality contributions to client projects in the life sciences sector. These tasks will range from basic analysis and problem-solving to assisting in the creation of more complex solutions. You ll demonstrate a comprehensive understanding of pharmaceutical data assets, including IQVIA, CRM, and MCM data, as well as country-specific variations. Key duties include training and upskilling Business Units (BUs) to use the self-serve layer effectively for report and dashboard creation, assessing data requirements for decision-making, and ensuring data accuracy. You ll work closely with engineering and data platform teams to improve data availability and reliability, while collaborating on client proposals and solution strategies. Additionally, you will contribute to documentation and specifications, design presentations, and actively engage in the consulting methodologies and life sciences market to continuously grow your knowledge. Key Responsibilities: Lead BI projects, including building and maintaining an analytical data layer, and developing BI solutions for reporting and visualization. Deliver high-quality, timely contributions to life sciences client projects, ranging from basic analysis to complex solutions. Utilize pharmaceutical data assets (IQVIA, CRM, MCM) and understand regional data variations. Train Business Units (BUs) to efficiently use the self-serve reporting layer for creating reports and dashboards. Assess data requirements, identify suitable data sources, ensure data accuracy, and perform necessary transformations for decision-making. Establish and track business metrics, and perform in-depth process analysis to identify areas for improvement. Collaborate with engineering and data platform teams to enhance data availability and reliability. Review and analyze client requirements, contribute to proposal development, and create tailored client solutions. Create detailed documentation, including specifications and quantitative/qualitative analyses. Present client deliverables within established frameworks, adapting presentations to audience needs. Stay engaged in consulting methodologies, life sciences market trends, and professional development opportunities. Manage project-based responsibilities under the guidance of senior consultants and directors. Desired Candidate Profile: Proficiency in SQL and BI platforms, particularly Power BI (Spotfire knowledge is a plus). Extensive experience with data transformation/ETL, data modeling, and a strong understanding of data platforms and ETL processes. Hands-on experience with Power BI, including the creation of reports, dashboards, and visualizations, and experience in environments such as Salesforce, Snowflake, or Azure. Skilled in migrating SSRS reports/Tabular reports to Power BI Paginated Reports. Advanced knowledge of Power Query M and experience building sophisticated DAX queries. Experience implementing static and dynamic Row Level Security, along with extensive knowledge in dataset design, data cleansing, and aggregation. Understanding of relational database structures, principles, and practices. Solid SQL skills, including the ability to write complex queries and create SQL views for custom datasets. Strong proficiency in Excel, PowerPoint, and Access, with VBA knowledge considered a plus. Proven ability to build relationships with multiple stakeholders (BI engineers, Data Engineers, Consulting teams, Product Managers). Familiarity with Software Development Life Cycle (SDLC) and Agile methodologies. Experience with technical project execution, including proposal writing, creating BRD, PDD, SDD, and user documentation. Excellent verbal and written communication skills. Previous experience in application or implementation support is required. Strong problem-solving skills and a macro-level approach to research and analytics. Good to Have: Experience with other BI technologies (e.g., Tableau, Looker Studio, ThoughtSpot). Knowledge of Python/R. Experience with Microsoft Power Platform tools (e.g., PowerApps, Power Automate). Hands-on experience with Canvas App Configuration, Canvas App Functions, Power Portals, Power Automate Desktop, and custom connectors. Familiarity with Azure services, AI builder, Virtual Agents, and SharePoint list customization. Microsoft Power Platform certification is a plus. Qualifications: Bachelor s or Master s degree in Computer Science, Information Technology, or a related field. 6-8 years of relevant experience. Demonstrated collaborative approach, working effectively across teams to achieve objectives. Knowledge of core business processes and their impact on decision-making and growth. Familiarity with consulting methodologies, tools, and techniques. Up-to-date with current industry trends and insights into competitors and marketplace dynamics. Proficiency in time management, Scrum methodologies, and agile working practices. Qualification : Bachelors or Masters degree in Computer Science, Information Technology, or a related field.

Job Title: AI Engineer Group: Platform & Energy Business Unit: CARIAD Business Unit India Location: Whitefield, Bangalore Experience: 5 to 9 years About CARIAD (Car, I Am Digital) CARIAD is an automotive software company that brings together the Volkswagen Group's software capabilities and builds upon them to drive innovation across the automotive industry. We are developing a unified technology and software platform, including a vehicle operating system, a vehicle cloud platform, and a new architecture for all Volkswagen Group brands. Operating under a licensing agreement with CARIAD SE in Germany, CARIAD India is at the heart of transforming automotive mobility through technology. Join us and become part of a team that is building the future of automotive software. With a talented team of over 360 experts at CARIAD India and 6,000+ global CARIDIANs, you will work on cutting-edge platforms and technologies, from firmware and bootloaders to AUTOSAR, Linux/QNX BSP, and service-oriented architecture-based middleware components. Job Description We are looking for an AI Engineer to join our team and contribute to developing innovative AI models and solutions for the automotive industry. As an AI Engineer, you will work with large language models (LLMs), deep learning frameworks, and natural language processing (NLP) techniques, creating impactful AI applications. You will play a key role in AI model development, training, fine-tuning, and integrating AI solutions across automotive platforms. Key Responsibilities: AI Model Development: Design, develop, and implement advanced AI models, specifically leveraging deep learning frameworks like TensorFlow, PyTorch, and Scikit-learn. LangChain Expertise: Utilize LangChain to integrate generative AI capabilities into platforms and applications, ensuring efficient and scalable AI implementations. Large Language Models (LLMs): Implement and fine-tune large language models (LLMs), exploring new ways to enhance their performance and apply them to real-world automotive challenges. NLP Techniques: Apply natural language processing (NLP) techniques to improve AI systems' understanding and processing of textual data. Data Handling: Work with large datasets, performing data preprocessing, cleaning, and analysis to ensure the quality and accuracy of AI models. System Integration: Collaborate with both frontend and backend teams to integrate AI solutions into automotive software platforms. Model Training and Fine-tuning: Lead the training of machine learning models, fine-tune them for specific use cases, and optimize for real-time applications in the automotive domain. Collaboration: Work closely with cross-functional teams, including engineers, data scientists, and product managers, to ensure successful AI application development and deployment. Required Skills and Experience: Educational Background: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. AI Expertise: Proven experience in developing AI models, particularly using Python and frameworks like TensorFlow, PyTorch, or Scikit-learn. LangChain Knowledge: Strong expertise in LangChain and its use in building generative AI solutions. Large Language Models (LLMs): Solid understanding of LLMs and practical experience implementing them in various applications. NLP Experience: Experience with natural language processing (NLP) techniques, including text processing, semantic analysis, and machine translation. Data Handling: Ability to work with large datasets, performing efficient data preprocessing, cleaning, and analysis. Frontend and Backend Systems: Hands-on experience in both frontend and backend systems, ensuring smooth integration of AI models into full-stack applications. Model Training: Experience in training and fine-tuning machine learning models, especially LLMs, to improve accuracy and performance. Good to Have: Automotive Domain Experience: Familiarity with the automotive industry and how AI can be applied to automotive systems, such as autonomous driving, in-vehicle infotainment, and smart diagnostics. Innovative Environment: Work on cutting-edge AI technologies and contribute to the digital transformation of the automotive industry. Career Growth: Opportunity to develop your career and grow within a global company that values creativity, innovation, and continuous learning. Collaborative Culture: Work alongside a talented and motivated team of experts from around the world to solve complex challenges. About CARIAD India CARIAD India is an integral part of the global CARIAD team, contributing to the advancement of automotive software technologies. By joining CARIAD India, you'll be part of a dynamic team driving innovation in the automotive industry, developing groundbreaking technologies, and creating a positive impact on the future of mobility. Qualification : Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Job/Position Summary: Data Engineer Responsibilities: Implement data pipelines that meet design and are efficient, scalable, and maintainable. Implement best practices including proper use of source control, participation in code reviews, data validation and testing. Timely deliveries while working on projects. Act as advisor/mentor and helps junior data engineers in their deliverables. Must Have Skills: Should have experience of at least 4+ years with Data Engineering. Strong experience of design, implementation and fine-tuning big data processing pipelines in production environment. Experience with big tools like Hadoop, Spark, Kafka, Hive, Databricks. Experience in programming at least one of with Python, Java, Scala, Shell Script. Experience with relational SQL and NO SQL databases like PostgresSQL, MYSQL, Cassandra etc. Experience with any data visualization tool (Plotly, Tableau, Power BI, Google Data Studio, Quick sight etc.). Good To Have Skills: Should have Basic Knowledge of CI/CD Pipeline. Experience in working on at least one Cloud (AWS or Azure or GCP). For AWS: - Experience with AWS Cloud services like EC2, S3, EMR, RDS, Athena, Glue, Lambda, EMR. For Azure: -Experience with Azure Cloud services like Azure Blob/Data Lake GEN2, Delta Lake, Databricks, Azure SQL, Azure DevOps, Azure Data Factory, Power BI. For GCP: - Experience with GCP Cloud services Big Query, Cloud Storage bucket, DataProc, Dataflow, Pub Sub, Cloud Function, Data Studio. Sound familiarity in Versioning tools (Git, SVN etc.). Experience Mentoring students is desirable. Knowledge of latest developments in Machine Learning, Deep Learning, Optimization in Automotive domain. Open minded approach to explore multiple algorithms to design optimal solution. History of contribution to articles/blogs/whitepapers etc. in Analytics. History of contribution to Open Source. Requirement: ESSENTIAL SKILLS /COMPETENCIES Data Engineering Hadoop Kafka CI/CD Cloud

Your Impact As a Data Science Analyst at McKinsey, you will collaborate closely with the Insights & Analytics (IA) group and consulting teams to solve analytically complex client problems in the marketing domain. You will apply advanced analytical and modeling techniques, drawing insights through statistical techniques and predictive modeling to guide marketing efforts. Your primary responsibility will be client service, with an additional focus on knowledge development within the team. Key activities will include: Performing statistical analysis and modeling to support marketing-related client engagements. Developing and refining statistical models aimed at optimizing pricing strategies and promotional activities. Providing guidance to teams on analytics projects, particularly on technique and modeling-related issues. Supporting the development and maintenance of McKinsey s proprietary marketing techniques and contributing to other knowledge development initiatives. Coaching and mentoring new hires by sharing your business, technical, and functional expertise. Delivering high-quality, client-ready end products on time, with attention to detail and performing quality checks as required. Your Growth You will be a key part of McKinsey s Growth, Marketing & Sales (GM&S) team, based in either Gurgaon or Bengaluru, primarily supporting the Insights & Analytics (IA) group of GM&S. This team leverages McKinsey's decades of experience in marketing and sales to help leading companies improve pricing, promotions, assortments, and performance management. The GM&S Solutions team blends cutting-edge software, tailored services, and deep expertise to provide clients with a comprehensive view of their commercial and financial performance. By integrating various data sources into a central data warehouse, the team enables clients to make informed decisions using advanced analytics. McKinsey Solutions fosters innovation in areas such as design thinking, mobile, and social, helping to reshape the consulting model toward asset-based solutions. This is a growing area within McKinsey, with a vibrant ecosystem of alliances, strategic acquisitions, and the development of new products and services that redefine how McKinsey works with clients. As part of McKinsey Solutions, you ll be part of a team of more than 1,000 dedicated professionals, including over 800 analysts and data scientists, working on impactful, innovative solutions. Your Qualifications and Skills Mandatory: Master s degree in Statistics, Economics, Econometrics, Computer Science, Engineering, Mathematics, or an MBA with a strong quantitative background. 2+ years of relevant work experience in analytics, business intelligence, or advanced analytics with an analytics firm. Proficiency in statistical programming software such as Python, and comfortable working with large datasets. Familiarity with R and SQL is also preferred. Experience in handling large volumes of data, including data manipulation, data cleansing, and data matching using tools like R, SQL, and Excel VBA. Strong analytical and problem-solving skills, with the ability to break down complex issues, identify root causes, and recommend actionable solutions. Knowledge of forecasting, regression analysis, and segmentation methodologies. Experience with modeling techniques, including logistic regression, linear regression, cluster analysis, CHAID, and similar approaches. Industry experience in consumer goods, telecom, or retail is a plus. Ability to thrive in a dynamic and evolving environment where priorities change frequently, and methodologies are often challenged. Capacity to work efficiently under pressure and meet tight deadlines. Qualification : Masters degree in Statistics, Economics, Econometrics, Computer Science, Engineering, Mathematics, or an MBA with a strong quantitative background.