Data Science Executive Jobs in Mumbai

Position Title: Senior Vice President Data, AI & Cloud Location: Mumbai Department: Technology Role Overview We are seeking a visionary technology leader to serve as Senior Vice President Data, AI & Cloud, responsible for architecting and executing our enterprise-wide data, AI/ML, and cloud strategy. This is a transformative leadership role that combines deep technical expertise with strong business acumen to drive innovation, operational efficiency, and intelligent decision-making across the organization. You will lead platform modernization, enable large-scale AI/ML adoption, and optimize cloud infrastructure, all while building a culture where data and AI are embedded in everyday decision-making. The ideal candidate will be both a strategic thinker and a hands-on technologist capable of translating cutting-edge developments like generative AI and LLMs into practical enterprise applications. Key Responsibilities Strategic Leadership Define and implement a cohesive strategy across Data, AI/ML, and Cloud aligned with enterprise objectives. Drive AI democratization by embedding intelligence in core workflows and decision systems. Champion a data-driven, innovation-first culture across both business and technology teams. AI Advocacy & Adoption Act as the internal evangelist for AI leading awareness, education, and enablement initiatives. Partner with cross-functional teams (product, credit, operations, etc.) to co-create impactful AI solutions. Translate advanced AI technologies (LLMs, generative AI, agentic workflows) into scalable enterprise applications. AI/ML Delivery & Innovation Lead end-to-end development and deployment of AI/ML solutions across key areas: credit scoring, collections, fraud detection, automation, and customer insights. Promote the adoption of LLMs and generative AI to power personalization and intelligent decisioning systems. Institutionalize MLOps, Infrastructure-as-Code (IaC), and model observability practices. Data Platform & Governance Overhaul and modernize data architecture with real-time, scalable, cloud-native solutions. Establish and enforce robust data governance, data quality, privacy, and compliance practices (aligned with RBI and other regulatory norms). Cloud Infrastructure & Optimization Architect and maintain a secure, scalable, cost-optimized AWS environment. Implement best-in-class DevOps, Infrastructure-as-Code, and monitoring practices using tools like Terraform, Kubernetes, and Cloud-native observability suites. Team & Capability Building Build and lead high-performing teams across Data Engineering, ML Engineering, and Cloud Operations. Mentor and inspire talent to drive innovation and cross-functional collaboration. Technology Stack AI/ML: Python, TensorFlow, PyTorch, MLflow, LangChain, LLMs, Agentic Workflows Cloud (AWS): S3, EKS, ECR, Lambda, CloudWatch, CloudTrail, IAM, SageMaker, Bedrock Databases: RDBMS, Amazon Redshift, MongoDB DevOps & Infrastructure: Terraform, Kubernetes, CI/CD tools, ETL pipelines Desired Candidate Profile 12+ years of progressive experience in data engineering, AI/ML, and cloud infrastructure roles, with at least 5 years in a leadership capacity. Proven success in leading data platform modernization and delivering enterprise-scale AI solutions in regulated industries preferably financial services. Deep hands-on expertise with Python, ML frameworks (TensorFlow, PyTorch), MLOps tools (MLflow), and generative AI platforms (LangChain, LLMs). Strong understanding of financial data, credit models, risk analytics, and compliance requirements (including RBI regulations). Bachelor s or Master s degree in Computer Science, Data Science, Engineering, or a related field. Qualification : Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field

Deputy Vice President Data Science Location: Mumbai Function: Technology Digital and Data Sciences Employment Type: Full Time Experience: 9-10 years Key Responsibilities AI & Machine Learning: Design, develop, and deploy machine learning models for predictive analytics, natural language processing (NLP), computer vision, and recommendation systems. Lead end-to-end AI project lifecycles, including model validation, production deployment, and ongoing optimization using frameworks such as TensorFlow, PyTorch, and scikit-learn. Stay abreast of the latest advancements in Generative AI and foundational models, evaluating their applicability and integration within business solutions. Collaborate with cross-functional teams to identify AI use cases and deliver tangible business impact. Data Science & Analytics: Drive the entire analytics lifecycle, from data exploration and modeling to delivering actionable insights and developing data-driven products. Partner with data engineers and analysts to develop scalable, impactful solutions that support business objectives. Leadership & Strategy: Mentor and develop junior data science professionals, fostering a culture of continuous learning and innovation. Contribute to the organization s AI and cloud strategy by helping define the roadmap and setting long-term vision. Cloud Architecture & Engineering: Architect and design scalable, cloud-native AI and data platforms primarily on Google Cloud Platform (GCP), with knowledge of AWS and Azure as alternatives. Optimize data pipelines and machine learning workflows using cloud services such as Vertex AI, SageMaker, or Azure ML. Ensure the design and implementation of secure, cost-effective, and scalable architectures supported by robust CI/CD pipelines.

Deputy Vice President Data Science Location: Mumbai Function: Technology Digital and Data Sciences Employment Type: Full Time Role Overview We are seeking a seasoned and innovative Deputy Vice President Data Science to lead cutting-edge AI and data science initiatives. The ideal candidate will drive the development and deployment of machine learning models, architect cloud-native AI platforms, and guide strategic transformation through advanced analytics. This role requires strong leadership, deep technical expertise, and the ability to collaborate across business and technology teams to deliver measurable impact. Key Responsibilities AI & Machine Learning: Design, develop, and implement advanced machine learning models for predictive analytics, NLP, computer vision, and recommendation engines. Lead end-to-end AI project lifecycles, including model validation, productionization, and continuous optimization using frameworks like TensorFlow, PyTorch, and scikit-learn. Stay current with the latest developments in Generative AI, foundation models, and LLMs; evaluate and integrate them into solutions where applicable. Identify and prioritize AI use cases in collaboration with cross-functional teams to create business value. Data Science & Analytics: Lead the complete analytics lifecycle from data exploration and model building to insight generation and product deployment. Work closely with data engineers and analysts to develop scalable, high-impact solutions that influence business outcomes. Leadership & Strategy: Mentor and develop junior team members, promoting a culture of learning, experimentation, and excellence. Contribute to enterprise-wide AI and cloud strategies, including vision setting and roadmap development. Cloud Architecture & Engineering: Architect and implement cloud-native AI and data platforms on GCP (preferred), with working knowledge of AWS or Azure. Build and optimize scalable ML workflows and data pipelines using platforms like Vertex AI, SageMaker, or Azure ML. Ensure secure, scalable, and cost-effective infrastructure, supported by CI/CD pipelines and MLOps best practices. Required Skills & Qualifications Technical Proficiency: Strong coding skills in Python and SQL. Expert-level knowledge of ML frameworks: TensorFlow, PyTorch, Hugging Face, scikit-learn. Practical experience with Large Language Models (LLMs), vector databases, and Retrieval-Augmented Generation (RAG) techniques. Cloud & Engineering: Proficient in designing solutions on Google Cloud Platform (GCP); experience with AWS or Azure is a plus. Familiarity with data tools like BigQuery, Kafka, Snowflake. Strong knowledge of MLOps, including CI/CD pipelines, model monitoring, and A/B testing frameworks. Governance & Ethics: Solid understanding of data privacy, governance, and responsible AI principles.

Crypto Quantitative Researcher Location: Mumbai Company: Qube Research & Technologies (QRT) Job Type: Full-Time About QRT Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating across all liquid asset classes. We are a data- and technology-driven firm that applies scientific methodologies to investing. Our collaborative, research-oriented culture enables us to solve complex challenges, continuously innovate, and deliver exceptional results for our investors. Role Overview We are seeking a Crypto Quantitative Researcher to join our elite global research team. In this role, your primary objective is to develop high-quality, predictive trading signals using large-scale crypto and financial datasets. You will conduct in-depth quantitative research, design and test strategies, and implement them into our production environment with support from cutting-edge infrastructure. Key Responsibilities Develop, test, and implement systematic crypto trading strategies based on predictive models and statistical patterns. Leverage structured and unstructured datasets to identify actionable insights in the digital assets space. Collaborate with fellow researchers, data scientists, and technologists to discuss methodologies, share research, and optimize signals. Integrate signals into QRT s global execution platform and monitor performance over time. Stay informed about emerging trends in cryptocurrency, decentralized finance (DeFi), and blockchain ecosystems. Required Qualifications & Experience Experience: Proven track record in developing and implementing systematic crypto strategies. Minimum 2 years of experience in quantitative research or trading within the financial industry. Education: Advanced degree (Master s/Ph.D.) in a quantitative discipline such as Mathematics, Statistics, Data Science, Physics, or Engineering. Skills & Knowledge: Strong statistical analysis and machine learning capabilities; NLP/AI experience is a plus. Deep understanding of crypto markets, DeFi protocols, and blockchain data (preferred). Proficient coding skills in Python (required); knowledge of C++ is a plus. Experience with production-level systems and latency-sensitive environments is advantageous. Ability to work independently while thriving in a collaborative, high-performance culture. Strong communication skills to work effectively with global, cross-functional teams. Work in a high-impact role within a research-led, collaborative environment. Access to sophisticated infrastructure and proprietary data. Competitive compensation aligned with performance. Programs to support wellness and a healthy work-life balance. A diverse, inclusive, and intellectually stimulating workplace. Qualification : Advanced degree (Masters/Ph.D.) in a quantitative discipline such as Mathematics, Statistics, Data Science, Physics, or Engineering.

Quantitative Data Analyst Location: Mumbai About QRT Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped QRT s collaborative mindset which enables us to solve the most complex challenges. QRT s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. We are looking for an exceptional Quantitative Developer / Analyst to join the Data Search & Analytics team. In this role, you will work directly with the Research and Trading desks to improve their productivity and efficiency. Your future role within QRT This team is integral to the firm s success. As such, your responsibilities will include: Sourcing, designing and onboarding new datasets according to trading desks priorities Becoming an expert on QRT s internal tools to help the relevant desks efficiently, using data in production of trading systems Proactively solving data related problems in order to minimize time to production Managing the full lifecycle of data sourcing projects, which includes data acquisition/exploration/engineering, prototyping and production Your present skillset Advanced programming experience in Python. C/C++, C# is a plus 3+ years of experience as a Data Engineer/Analyst/Scientist Prior experience working with commodities data is a must Post-Graduate degree in Data Science, Computer Engineering, Mathematics or Statistics Capacity to work with autonomy within a global team (researchers and data engineers) Experience with Bloomberg/Reuters data ecosystems A keen interest in financial markets, data analysis, and programming Fast learner, intellectual curiosity, problem solver Ability to work in a high-performance, high-velocity environment Excellent communication skills, both written and verbal QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Quantitative Researcher Location: Mumbai Company: Qube Research & Technologies (QRT) Job Type: Full-Time Your Future Role at QRT As a Quantitative Researcher, your primary objective will be to develop high-quality predictive signals by analyzing large and diverse datasets to identify statistical patterns and trading opportunities. You will collaborate closely with fellow researchers to share methodologies, data sets, and results, contributing to the continuous improvement of QRT s global execution platform. Monitoring and refining model performance over time will be key to maintaining the effectiveness of your strategies. Key Responsibilities Develop and validate predictive signals using advanced quantitative techniques. Analyze large datasets across multiple time frames to uncover meaningful patterns and opportunities. Collaborate with other researchers to share insights, methodologies, and datasets. Implement trading signals and integrate relevant datasets within QRT s execution platform. Continuously monitor signal behavior and model performance, making improvements as needed. Your Present Skillset Advanced degree in a quantitative discipline such as Data Science, Statistics, Mathematics, Physics, Engineering, or a related field. Proficiency in at least one programming language commonly used in quantitative research (e.g., Python, R, Matlab, C++, C#). Strong foundation in statistics, machine learning, NLP, or AI techniques is an advantage. Experience working with large datasets and conducting analysis across multiple time frames is a plus. Ability to multitask effectively in a fast-paced environment while maintaining attention to detail. Intellectual curiosity and a passion for solving complex problems by exploring new data sources and innovative methods. Capacity to work autonomously while contributing positively within a collaborative team environment.

Quantitative Researcher Macro Location: Mumbai Company: Qube Research & Technologies (QRT) Job Type: Full-Time About QRT QRT is a global quantitative and systematic investment manager operating across all liquid asset classes worldwide. We leverage technology, data, and research combined with trading expertise to solve complex challenges and generate high-quality returns for our investors. Our culture of innovation and collaboration drives our ambition to remain at the forefront of quantitative investing. Your Future Role within QRT As a Quantitative Researcher specializing in Macro strategies, you will lead the end-to-end research process from signal generation through implementation. Your primary goal will be to develop high-quality predictive signals by analyzing large and diverse macroeconomic datasets, identifying statistical patterns and investment opportunities. You will collaborate globally with researchers, data scientists, technologists, and traders to share methodologies and improve strategy performance over time. Key Responsibilities Lead full-cycle strategy research: signal generation, testing, implementation, and ongoing monitoring. Analyze large, diverse datasets to identify meaningful macroeconomic statistical patterns and opportunities. Collaborate and communicate research results, data sets, and processes with global teams. Integrate signals and datasets into QRT s global execution platform. Continuously track and optimize model performance within your strategies. Your Present Skillset Minimum 3 years of relevant experience with a proven track record in systematic strategy development. Advanced degree in a quantitative field such as Data Science, Statistics, Mathematics, Physics, Engineering, or related disciplines. Strong knowledge of statistics, machine learning, NLP, or AI techniques is advantageous. Proficiency in at least one major programming language (Python, R, Matlab, C++, C#). Experience analyzing large datasets across multiple time frames is a plus. Ability to multitask and maintain high attention to detail in a fast-paced environment. Intellectual curiosity and problem-solving mindset to explore new data sources and innovative research processes. Ability to work independently while contributing effectively within a collaborative global team. Excellent communication skills to engage with technologists, data scientists, and traders worldwide. Equal opportunity employer fostering a diverse and inclusive workplace. Empowering employees to work openly and respectfully for collective success. Comprehensive programs supporting healthy work-life balance alongside professional growth.

Position: Machine Learning Engineer Location: Vile Parle, Mumbai, Maharashtra, India Job Type: Full-Time About the Role: We are seeking an experienced Machine Learning Engineer to lead our efforts in developing Artificial Intelligence (AI) and Natural Language Processing (NLP) based products. You will be responsible for creating machine learning models, retraining systems, and building self-learning applications. The role requires exceptional skills in statistics, programming, and an in-depth understanding of data science and software engineering. Your primary goal will be to shape and build efficient, self-learning applications that meet business objectives. Key Responsibilities: Model Development: Develop machine learning models that help achieve business objectives and establish metrics to track their progress. Resource Management: Manage resources such as hardware, data, and personnel to meet project deadlines. Algorithm Selection: Analyze and rank ML/NLP algorithms based on their likelihood of success in solving a given problem. Data Analysis: Explore and visualize data to understand its nature and identify potential issues that could affect performance when the model is deployed in real-world settings. Data Acquisition & Preparation: Supervise the data acquisition process and identify additional datasets if necessary. Define the data pre-processing and feature engineering strategies required. Model Training & Tuning: Train models, tune hyperparameters, and analyze model errors, implementing strategies to overcome them. Model Deployment: Deploy models to production and ensure they meet operational requirements. Skills and Qualifications: Experience: Minimum of 3 years of experience as an ML/NLP Engineer or in a similar role. Frameworks & Libraries: Proficiency in machine learning frameworks like Keras or PyTorch and libraries such as scikit-learn, pandas. Data Handling: Expertise in visualizing and manipulating large datasets. Text Representation: Deep understanding of text representation techniques like n-grams, bag of words, sentiment analysis, etc. OpenCV: Proficiency with OpenCV for image processing. Hardware Selection: Ability to select and manage hardware to run ML models efficiently, ensuring the required latency is met. Degree: A degree in Computer Science, Mathematics, Computational Linguistics, or a related field. Qualification : Degree in Computer Science, Mathematics, Computational Linguistics or similar field

AI/ML Developer Location: Mumbai Experience: 5+ years Key Responsibilities: AI/ML Solutions Development: Develop, deploy, and maintain scalable AI/ML solutions tailored to the healthcare industry. Data Preprocessing & Structuring: Collaborate with data engineers and analysts to preprocess, clean, and structure healthcare data for machine learning applications. Model Design & Implementation: Design and implement machine learning models for real-world healthcare challenges like patient readmission prediction, disease progression modeling, and medical image analysis. Production Integration: Integrate AI/ML solutions into production environments, ensuring models are efficient, reliable, and meet client goals. Client Collaboration: Work with healthcare clients to define project requirements and KPIs, ensuring the solution brings measurable value. AI/ML Advancements: Stay up to date with the latest advancements in AI/ML, particularly in healthcare, and integrate new techniques to improve solutions. Regulatory Compliance: Ensure all AI/ML applications meet healthcare regulations (e.g., HIPAA, GDPR) and maintain high standards for patient data privacy and security. Model Monitoring & Optimization: Monitor, fine-tune, and update models post-deployment to maintain optimal performance and adapt to evolving healthcare data. Requirements: Experience: 5+ years in AI/ML, deep learning, and machine learning applications, preferably in the healthcare industry. Technical Skills: Proficiency in Python and/or R, with experience in ML libraries like TensorFlow, PyTorch, Scikit-Learn, etc. Healthcare Data Expertise: Strong understanding of healthcare data types and sources (e.g., EHR/EMR data, claims data, imaging data, genomics). Cloud Platforms: Familiarity with cloud platforms (AWS, Azure, Google Cloud) and deploying ML models in these environments. Healthcare ML Use Cases: Experience in healthcare-specific ML use cases such as patient outcome predictions, medical image classification, and NLP for clinical notes. Regulatory Knowledge: Strong understanding of healthcare privacy and regulatory standards (e.g., HIPAA, GDPR). Communication Skills: Excellent problem-solving, analytical, and communication skills, with the ability to convey complex technical ideas to non-technical stakeholders. Shift Flexibility: Ready to work in shifts to accommodate the global nature of healthcare projects. If you're passionate about developing impactful AI/ML solutions in the healthcare industry and have the required expertise, apply now for the AI/ML Developer position in Mumbai!

Job Title: Pre-Sales Business Analyst (AI/ML) Location: Mumbai Job Type: Permanent Education: Any Graduate / Post Graduate Experience: 10-14 years Openings: 3 Overview: We are seeking a skilled Pre-Sales Business Analyst with expertise in AI/ML and custom software solutions. In this role, you will serve as a key liaison between business stakeholders and technical teams, ensuring alignment in delivering AI/ML-driven solutions that meet client objectives. Key Responsibilities: Act as the primary interface between business stakeholders and technical teams for AI/ML and custom software solutions. Collaborate with clients to gather requirements, define business needs, and document functional and technical specifications. Lead pre-sales activities, including crafting proposals, presentations, RFP responses, and Proof of Concepts (PoCs). Partner with sales and technical teams to develop AI/ML solutions that align with business goals. Conduct market research, competitor analysis, and feasibility studies for AI/ML and custom application projects. Assist in defining solution architecture, pricing models, and go-to-market strategies. Create business cases, ROI analyses, and solution roadmaps to support sales initiatives. Engage with clients for demos, technical discussions, and requirements clarification. Ensure alignment between business needs and technical feasibility through collaboration with product and development teams. Stay abreast of industry trends, emerging technologies, and advancements in AI/ML to enhance solution offerings. Qualifications: 10+ years of experience as a Business Analyst, with a minimum of 4 years in pre-sales for AI/ML and custom applications. Strong communication skills in English, with experience in consulting US businesses. Deep understanding of the AI/ML landscape, with hands-on development experience in AI. Ability to engage in technical-level discussions with both customers and internal teams. A sharp focus on identifying business use cases and understanding customer challenges, aspirations, and priorities. Proven ability to research, develop, and propose solution outlines tailored to client needs. Strong capability to create clear value propositions for proposed solutions. Experience in developing implementation plans within an Agile SDLC framework. Ability to mentor and guide junior pre-sales executives. Qualification : Any Graduate / Post Graduate

Job Title: Software Engineer (AI/ML) Location: Mumbai Job Type: Permanent Education: Any Graduate / Post Graduate Experience: 2 to 3 years Openings: 3 What You Will Do: Design, develop, and deploy machine learning models and AI-driven solutions. Pre-process and analyze large datasets to derive actionable insights. Implement and optimize deep learning models, including Natural Language Processing (NLP) and computer vision. Develop and fine-tune algorithms for classification, prediction, and recommendation systems. Leverage cloud platforms (AWS, Azure, GCP) for model training and deployment. Optimize ML models for performance, scalability, and real-time inference. Collaborate with data engineers to build efficient data pipelines. Stay updated with the latest AI/ML advancements and integrate best practices into development. Work closely with cross-functional teams to understand business requirements and deliver AI solutions. Qualifications: Experience: 2-3 years in AI/ML development. Technical Skills: Strong programming skills in Python and experience with libraries like TensorFlow, PyTorch, and Scikit-Learn. Hands-on experience in deep learning, NLP, and computer vision. Expertise in handling large datasets and data pre-processing techniques. Experience in deploying ML models using cloud platforms (AWS SageMaker, Azure ML, GCP AI). Solid knowledge of machine learning algorithms, model evaluation, and hyperparameter tuning. Familiarity with database technologies (SQL, NoSQL) and big data frameworks (Spark, Hadoop). Experience in data pre-processing for structured and unstructured data (text, audio, video). Knowledge of document processing, Vision AI, Audio AI, and building AI-driven systems using Langchain and Rasa. Experience building AI chatbots and voicebots. Familiarity with DevOps and CI/CD for cloud platforms (AWS, Azure, GCP). Experience working in Agile SDLC with an iterative development mindset. Strong logical, analytical, and creative thinking, with a passion for problem-solving. Qualification : Any Graduate / Post Graduate

Job Title: Senior Software Engineer (AI/ML) Location: Mumbai Job Type: Permanent Education: Any Graduate / Post Graduate Experience: 4 to 6 years Openings: 2 What You Will Do: Design, develop, and deploy machine learning models and AI-driven solutions. Pre-process and analyze large datasets to extract meaningful insights. Implement and optimize deep learning and NLP models for various applications. Develop and fine-tune algorithms for classification, prediction, and recommendation systems. Leverage cloud platforms (AWS, Azure, GCP) for model training, deployment, and scalability. Optimize ML models for high performance, scalability, and real-time inference. Collaborate with data engineers to build efficient and reliable data pipelines. Stay updated with the latest advancements in AI/ML technologies and best practices. Work closely with cross-functional teams to understand business requirements and deliver AI solutions that address key business challenges. What Qualifications You Will Need: Experience: 4-6 years in AI/ML development, with a focus on building real-world AI systems. Technical Skills: Strong programming skills in Python, with hands-on experience in libraries like TensorFlow, PyTorch, and Scikit-Learn. Proficiency in deep learning, NLP, and computer vision. Expertise in working with large datasets and employing data pre-processing techniques. Experience in deploying machine learning models using cloud platforms (AWS SageMaker, Azure ML, GCP AI). Solid understanding of machine learning algorithms, model evaluation, and hyperparameter tuning. Familiarity with database technologies (SQL, NoSQL) and big data frameworks (Spark, Hadoop). Experience in data pre-processing for both structured and unstructured data (e.g., text, audio, video). Knowledge of document processing, Vision AI, and Audio AI technologies. Experience building AI agentic systems using Langchain and Rasa. Hands-on experience with developing AI chatbots and voicebots. Familiarity with DevOps practices and CI/CD pipelines (AWS, Azure, GCP). Experience working in Agile SDLC with an iterative development mindset. Strong logical, analytical, and creative problem-solving abilities. Qualification : Any Graduate / Post Graduate

Job Description Role Purpose: This is a strategic leadership position. Primary responsibility is to lead and grow the NIQ Qualitative business Nationally. The candidate will be responsible for driving profitable growth, including the full P&L of the business, Representing VOC and creating awareness of all your portfolio internally and externally. You will lead the India Qualitative business and team of Qualitative researchers, work closely with the various Business Vertical leaders and set a strategy that focuses on account acquisition retention and growth This role is also accountable for accurately managing an active sales pipeline and coaching the specialty seller team to better results by leveraging multiple sales drivers such as prospecting, campaigns, and other account engagement tools. Working closely with business partners across verticals to understand client challenges and ensuring strong awareness and presence of Qual with these clients. Core Responsibilities Own Qualitative Research revenue and cost OP, driving long term profitable growth. Develop and execute the Qualitative Strategy to grow share. Developing a clear blueprint on where to play and how to play and how to win. Introduce new solutions and thought leadership pieces to the team Develop and drive continuous though leadership agenda and participate in external forums. Craft India client engagement plans alongside the Vertical leaders and Business partners for target client activation at local India level. Develop sales plans and strategies accordingly to achieve sales goals in collaboration with each Vertical leader. Articulating it clearly with the Vertical business partners on opportunities for new client penetration, cross sales and upgrades leveraging the practices - Bring to Life the Go to Market plan review, adjust with vertical leaders as well partnering with Regional Qualitative Practice. Ensuring that your team of Qual researchers have a clear blue print of which accounts to focus and alignment with business partners. Serve as senior leader on Local RFP engagements working across SA&I and NielsenIQ for a unified response and representing the Qualitative research requirements. Develop KPI for the teams that focuses not just on NBD but also on client retention, win back, and larger share of continuous business. Manage sales team pipeline and assist in closing deals through strategic intervention. Set quarterly and annual sales quotas. Provide detailed sales forecasting on a monthly basis. Own client-level annual operational (OP) planning inputs with the team at the account/geo level. Create sales reports and provide feedback to SA&I India leader. Drive sales maintaining a long-term perspective to maximize overall revenue generation while being able to generate short term results. Ensure the team is scoping projects responsibly that meet SAI profitability guidelines. Partner closely with Customer Success Teams and vertical leaders to align on goals and strategy and drive shared accountability for revenue targets. Implement annual pricing increases and influence price-setting for new services. Lead and Advise on RFPs as necessary. Ensure NIQ GDF / SDF fund usage where applicable. Be a NIQ relationship driver. Liaise with local NIQ sales leaders on joint business planning, regional commercial efforts, and SAI product pushes. Voice of client Maintain & develop the commercial relationship to clients. Monitor the market and competitor products and activities and feed the same to India lead as well as regional Qual leader. Review customer activity and anticipate prospecting needs. Establish and maintain senior level key prospect/client relationships. Provide input for product development and prioritizations based on client feedback, RFPs requirements, competition analysis and market trends. Collaborate Practice leaders as well as Regional Vertical leader to capture needs and get early feedback on our mid / long term product roadmaps. Product positioning and awareness Clearly and convincingly articulate Qualitative offerings and unique value proposition, matching them with relevant client business challenges/KPIs. Where necessary adapt Regional Qual sales framework to India, linked to use cases relevant to specific target buyer personas and Verticals. Adopt and adjust Regionally built buyer personas profile and objection handling playbook to India market needs. Generate buyer personas database by verticals and help activate the same with GTM plan along with the Vertical Leaders. Facilitate the creation of client case studies to support product positioning. Lead or support T2T client meetings concerning Qual. Maintain broader Qualitative product/technical knowledge across all SAI tools. Participate in regional boot camps. Plan and Initiate local Bootcamps to train the Business partners. People management Recruit and hire Qual Research staff as the case may be. Motivate the teams to achieve their goals. Mentoring and guiding on winning techniques using your experience. Setting their targets and goals and guiding them on how to meet and exceed their KPI. Work with training team and peers to develop sales training content and protocols. Ensure internal processes are followed, including adherence to tracking customer and transactional information in CRM system and other sales and operational processes. Regular performance reviews with the team. Qualifications Expert in Qualitative Research techniques University degree in Marketing / Economics / Psychology / Sociology or related field a must. Preferred Postgraduate or MBA 15+ years working experience in Market Research - Strong understanding and appreciation of the various MR protocols such as concept testing, product testing, U&A, Segmentation, Profiling studies, BHT and so on. Proven Leader of high performing teams Expertise in (application of) one of NielsenIQ solutions is a plus Strong analytical skills Proven sales acumen Skillsets Strong sense of urgency and accounta...

Job Title: IT Officer / IT Executive About Us: At BSM, we are a global team of over 20,000 seafarers and 2,000 shore-based professionals, working across 30+ locations and managing a fleet of 650 vessels. Together, we are committed to responsible operations, ensuring the safety of our people, our fleet, and the environment. As a family-owned, multinational business, we take pride in our culture of togetherness, learning, and innovation. With a workforce representing over 80 nationalities, our diversity is our greatest strength driving innovation and setting new industry standards. Join BSM and become part of a forward-thinking organization that is shaping the future of global shipping and enabling seamless international trade. Job Objective: As an IT Officer, you will support the IT Manager in managing day-to-day IT operations within the SMC (Ship Management Centre). You will play a key role in maintaining the IT infrastructure, ensuring seamless connectivity, supporting infrastructure projects, and assisting in IT procurement and user support. Your contributions will help ensure that BSM s IT systems act as effective enablers for business success. Key Responsibilities: Ensure continuous 24x7 connectivity to BSM applications and vendor systems, minimizing downtime for the SMC office. Plan and conduct regular maintenance of IT systems, coordinating planned downtimes to minimize disruption to operations. Assist the IT Manager in liaising with vendors and procuring IT equipment as per organizational requirements and policies. Provide day-to-day IT support to users, resolving technical issues and ensuring uninterrupted workflow. Support the IT Manager in budget management for local IT needs when required. Lead or contribute to standalone IT projects, ensuring alignment with BSM standards and policies, under the guidance of the IT Manager and TDC management. Qualifications & Experience: Bachelor s degree in Computer Science, Information Technology, or a related field (or equivalent work experience). A Master s degree in Computer Science is advantageous. Industry certifications such as Microsoft, Cisco, or equivalent are a plus. Technical Skills: Experience managing SAN storage infrastructure in virtual environments. Hands-on experience with VMware vSphere. Strong understanding of Microsoft Active Directory and Windows Server 2008/2012 environments. Experience with Microsoft System Center and SQL Server 2008/2012 clustering. Familiarity with Microsoft Exchange 2010, including online archiving. Strong networking skills, particularly in virtual infrastructure and WAN connectivity. Experience with High Availability (HA), Disaster Recovery (DR), and Business Continuity Planning (BCP). Strong security mindset with a good grasp of the OSI Reference Model. Solid understanding of Microsoft Cloud / Office 365. What We Offer: Clear career development pathways with ample opportunities for professional growth. Technical and soft skills training programs to enhance your expertise. Comprehensive health insurance for you and your family. Annual performance-based bonus. Be part of a diverse and inclusive workforce, representing over 80 nationalities. Flexible work opportunities to support work-life balance. Join the ever-growing Schulte Group family and make your mark in the global shipping industry! Qualification : BA/BS in computer science related field or equivalent experience.

Position: Natural Language Processing (NLP) Engineer - Fundamental Fixed Income Team About the Role: BlackRock's active fixed income portfolio strategies span across a wide range of investment styles and segments, with a focus on alpha generation and risk management. The team uses a combination of top-down insights from lead portfolio managers and bottom-up expertise from sector specialists to deliver attractive returns in various market conditions. Join the Fundamental Fixed Income team and make a significant impact by using advanced data science techniques to solve complex problems in finance. Your Responsibilities: Work with advanced natural language processing (NLP) tools like SpaCy, NLTK, or Hugging Face, with an understanding of implementing Vector Databases. Follow best programming practices such as unit tests, code organization, and basics of CI/CD to create well-maintainable and tested codebases. Develop prototypes for individual components of software or data science solutions, leveraging basic data structures and algorithms. Collaborate with peers within PMG and iHub India (MASS Labs, RQA Labs, AI Labs) to continue research on use cases developed within firm-wide initiatives. Education and Qualifications/Skills: 7-12 years of experience in a relevant field. Motivated team player with the ability to work independently and flexibly. Proficiency in Python, including experience with machine learning libraries such as TensorFlow, PyTorch, or Keras. Solid understanding of machine learning algorithms, linear algebra, probability theory, statistics, and optimization theory. Knowledge of at least one domain such as generative AI, statistical learning, optimization, NLP, deep learning, or time series analysis. A passion for solving real-world finance problems using data science and machine learning approaches. Strong analytical thinking skills and ability to creatively solve business problems. Experience with data exploration, analysis, and creating visualizations, and implementing algorithmic solutions in ML. Self-driven, results-oriented, and able to collaborate effectively across time zones and geographies. Our Benefits: To help you stay energized, engaged, and inspired, we offer a wide range of benefits including: A strong retirement plan. Tuition reimbursement. Comprehensive healthcare options. Support for working parents and Flexible Time Off (FTO) to recharge. Our Hybrid Work Model: BlackRock s hybrid work model supports collaboration while offering flexibility. Employees are required to work at least 4 days in the office per week, with the option to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. About BlackRock: At BlackRock, we are united by one mission: helping more people experience financial well-being. Our clients use their investments to save for retirement, pay for education, buy homes, and start businesses. These investments strengthen the global economy, supporting businesses large and small, financing infrastructure projects, and fueling innovations. Our mission would not be possible without our greatest investment our people. We re committed to fostering an environment where employees feel welcomed, valued, and supported with benefits, networks, and opportunities for growth.

At DBS Transformation Group, we nurture the culture of the "World s Best Bank" (Euromoney 2018, 2019, and 2020). Our approach is both a science and an art. We immerse stakeholders in design thinking, encourage experimentation, and drive innovation across our pipeline. We build connections between corporate entrepreneurs and start-ups, focusing on solutions that transform how people live, work, and play. Our team is passionate about making banking joyful while having lots of fun along the way! Role: Transformation Lead The Transformation Lead plays a critical role in driving change and supporting key business projects within the transformation portfolio. This role involves shaping internal communication strategies, promoting transformation initiatives, and implementing innovative solutions such as Generative AI use cases across the organization. Key Responsibilities: Strategize and implement internal communication campaigns to promote a deeper understanding of the bank s transformation initiatives. Unify and elevate messaging across various Transformation Group pillars. Collaborate with internal partners (Group Marketing & Communications, HR, T&O COO communications teams) to ensure communication materials align with transformation objectives. Produce compelling content for internal platforms, such as intranet, knowledge portals, and email bulletins, ensuring optimal reach and engagement. Plan, edit, and write content to communicate organizational initiatives and projects effectively to employees and stakeholders. Drive the development and implementation of the bank s transformation agenda. Lead the implementation of Generative AI use cases for DBIL, ensuring adoption and value creation. Collaborate with Business COOs and function PM leads on the transformation book of work. Provide regular reporting and updates on Transformation Workstreams to senior management. Requirements: Independent self-starter with experience leading multi-disciplinary projects across various stakeholders. Strong storytelling skills both with words and data capable of engaging stakeholders and securing buy-in. Excellent writing, editing, and proofreading skills. Holistic thinker with an inquisitive and creative mind, considering multiple angles and perspectives. Strong interpersonal and stakeholder management skills. Experience working with cross-functional teams and senior executive management. Bachelor s degree or equivalent experience. Apply Now: We offer a competitive salary and benefits package, along with the professional advantages of a dynamic environment that supports your development and recognizes your achievements. Qualification : Bachelors/University degree or equivalent experience

Description The Sr Specialist will provide support in the CAPA management process and is the responsible Quality Approver. They will be responsible for executing quality reviewer/approver responsibilities for the NC/CAPA Management Process. This includes ensuring timely initiation and completion of investigations and CAPAs, collaborating with key stakeholders to resolve conflicts and align on the path forward, and determining when escalation to stakeholders or senior management is required to resolve issues. The Sr Specialist will have responsibility for ensuring the investigation and CAPA owners are progressing to plan by monitoring status and providing feedback and comments to direct progress during the investigation and root cause analysis/immediate cause phases, and during preparation of Corrective/Preventative action plans and effectiveness monitoring plans. They are knowledgeable and experienced in the CAPA management process and system and can guide and educate issue owners on best practices. Attention to detail, time management skills, and the ability to build and maintain relationships are essential. CAPA reviewer/approver for CAPA Management Process: Facilitate the initiation of investigations and CAPAs, and monitor progress and approvals. Collaborate with key stakeholders to support the end-to-end NC/CAPA process. Ensure that CAPA procedures and requirements are followed and met. Escalate complex issues to CIM management for resolution. Work with stakeholders, senior management, and governance bodies for awareness and resolution, as needed, including any issues impacting the progress toward completion of investigations, root cause analysis, impact analysis, and closure of CAPA Records. Review evidence and approve closure of CAPA plans. Monitor effectiveness of CAPAs to ensure the Root Cause is eliminated or reduced to acceptable level. Drive key deliverables and ensure timely completion of activities. Support/Provide regular updates for CAPA status, metric reports, and trending, as needed. Participate in and/or support internal audits and regulatory inspections, as needed. Attend, participate and/or facilitate CAPA review meetings, as needed. Perform other duties as necessary. Decision Making and Problem Solving: Ability to work independently and coordinate across CAPA and Issue Management (CIM). Consult with CIM management as need for resolution of complex issues. Requires basic management skills for cross-functional interactions and coordination. Facilitates resolution of issues and able to collaborate with stakeholders at varying levels of management across multiple organizations. A fundamental understanding of the risk management process to engage key stakeholders and mentor colleagues to capture insights and make risk-based decisions. Excellent communication and writing skills demonstrated by the ability to write executive summaries and ad hoc reports promptly and clearly as well as compile and present data to other professionals. Requires analytical skills to examine data and perform analysis. Requires decision-making skills to approve the appropriateness, effectiveness, quality and compliance of documented robust investigations, root cause analysis and corrective/preventative action plans. Working Relationships: Must be able to effectively operate in a matrixed environment and interact with cross functional leaders on a regular basis. Associate Director/Director, CAPA and Issue Management interfaces and informs as needed to discuss issues. CAPA and Issue Management team members interfaces daily as needed to manage workload; interfaces weekly in team meetings. R&D Senior Management, R&D Quality, Regulatory Affairs, Medical Affairs, and other business functions involved in owning investigations and delivering CAPA commitments - interfaces as needed to address identified issues and provide guidance on established processes. J&J partners must be able to effectively interact with third-party organizations, and marketing partners as needed to address cross-company and cross-departmental issues. Qualifications Bachelor s Degree in Life Science or related discipline or equivalent is required. Knowledge and experience with regulations and regulatory compliance issues. At least 3 years of experience in an applicable compliance field and or equivalent experience/training in a related R&D area. Experience with Non-Conformance/CAPA. Analytical and data skills. Excellent communication and writing skills demonstrated by the ability to develop clear and concise professional correspondence. Must be a problem solver, strategic thinker, and collaborator. Excellent organization, prioritization, and time management skills. Demonstrated competencies include adaptability, attention to detail, and ability to build and maintain relationships and partnerships across the organization. Ability to build and maintain cross-functional interactions and coordination. Ability to build consensus, influence, and negotiate. Knowledge in R&D related activities which may include safety related areas, safety reporting for both investigational and marketed products, clinical study coordination, etc. Knowledge of Quality Management, Project Management and/or Process Excellence concepts and practices. Qualification : Bachelors Degree in Life Science or related discipline or equivalent is required.

Description At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com/ Position Summary The Senior Statistical Programming Lead is an experienced Statistical Programmer with advanced knowledge of statistical programming methods, languages and data structures and capabilities in leading analysis and reporting activities and programming teams in accordance to departmental processes and procedures. This position is accountable for the planning, oversight and delivery of statistical programming activities supporting one or more clinical projects, compounds and/or submissions generally of low-medium complexity/criticality. The Senior Statistical Programming Lead is responsible for making decisions and recommendations that impact the efficiency, timeliness and quality of deliverables and provide leadership, direction and technical and project specific guidance to programming teams. As an experienced Statistical Programmer this position applies advanced technical and problem-solving skills to complete programming activities of high complexity that may benefit multiple project teams. In addition, the Senior Statistical Programming Lead may contribute advanced knowledge and technical skills to Therapeutic Area or departmental innovation and process improvement projects. Principal Responsibilities As a Programming Lead; Accountable for Statistical Programming team delivery for one or more clinical projects generally of low to medium complexity, scope or criticality. Coordinates and supervises programming team activities and provides technical and project specific mentorship to programming team members to ensure quality and timely statistical programming deliverables in compliance with departmental processes and procedures. Develops detailed programming strategy, specifications and plans the programming deliverables for a one or more clinical projects. May act as a section lead of programming activities supporting a clinical program, compound or submission. Performs comprehensive review of, and provides input into, project requirements and documentation. Collaborates optimally with statistical programming and cross-functional team members and counterparts to achieve project goals. As applicable, coordinates statistical programming activities outsourced to third party vendors adopting appropriate processes and methods to ensure their performance meets the agreed upon scope, timelines, and quality. As an experienced Statistical Programmer; Designs and develops programs in support of sophisticated clinical data analysis and reporting activities. Applies technical and analytical expertise to develop and implement solutions for use on clinical projects leading to increased efficiency and quality. May contribute to or lead others in an area of expertise that results in solutions growing the efficiency and quality of deliverables across multiple projects. May play the role of a Therapeutic/Disease Area Expert contributing to standards strategy and definition and providing expertise for a specific Therapeutic/Disease area across value streams. Ensures continued compliance with required company and departmental training, time reporting and other business/operational processes as required for position. May contribute to departmental innovation and process improvement projects. Principal Relationships Reports into people manager position within the functional area. Accountable to the Statistical Programming Portfolio Lead for assigned programming activities and responsibilities. Functional contacts within IDAR include but are not limited to, Statistical Programming Portfolio Lead, Statistical Programmers, peer groups within the function, Data Management, Regulatory Medical Writing. Functional contacts within Janssen (as collaborator or peer) include but are not limited to Clinical Trial Lead, Quantitative Sciences, Biostatisticians, Regulatory, Clinical - Primary interfaces within clinical project (trial), program, and submission teams. External contacts include but are not limited to external partners including CROs. Qualifications Qualifications - External Bachelor's degree or higher and/or equivalent in computer science, mathematics, data science/analytics, public health or other relevant scientific field (or equivalent theoretical/technical depth). Approximately 6-8 years programming experience with growing responsibility, preferably in a pharmaceutical/clinical trial environment. Advanced knowledge of relevant statistical programming languages including SAS (required), other relevant programming languages (e.g. R, Python etc. preferred), and data structures. Proven experience planning and coordinating programming activities and leading teams. Proven experience working with cross functional stakeholder and teams. Solid understanding of regulatory guidelines (e.g. ICH-GCP) and relevant clinical R&D concepts. Basic project management skills. Demonstrated written and verbal communication skills. Johnson & Johnson is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Qualification : Bachelor's degree or higher and/or equivalent in computer science, mathematics, data science/analytics, public health or other relevant scientific field (or equivalent theoretical/technical depth).

Indicia Worldwide is a technology-led, insight-driven communications agency with global production expertise. Why We Exist: Creating New Value At Indicia Worldwide, our philosophy is centered on creating new value. We enhance every step of a brand s journey to market by increasing marketing performance and reducing execution costs. We build mutually beneficial partnerships with our clients and their customers, driven by a balance of efficiency and effectiveness that is pioneering, entrepreneurial, and sustainable. Our substantial investment in technology and data science sets us apart in the marketplace. By leveraging data insights and marketing technology, we can measure and demonstrate the impact of our work, with ROI (Return on Investment) as the most critical metric. We are the only agency that combines creative, data, and technology expertise with production and procurement capabilities to optimize marketing performance and efficiencies. This allows us to help our clients deliver more engaging, cost-effective, and sustainable customer experiences. With a rich heritage across print, creative production, retail, data, digital, and technology, we bring these disciplines together to support global brands with their omnichannel marketing activation needs. We believe our unique proposition has the power to redefine how marketing is activated for clients worldwide now and well into the future. The Result Improved client performance by delivering brand ideas that engage consumers better, faster, and more cost-effectively at every stage of the journey to market. Purpose of the Role: Financial Analyst In this role, you will be responsible for driving financial planning, analysis, and reporting processes. Key responsibilities include: Annual Operating Plan (AOP): Compile and consolidate the AOP, working independently to manage expense planning and coordination with relevant teams and functions. Cost Analysis and Monitoring: Analyze costs vs. budget, forecast, and previous year data (excluding staff costs), providing actionable insights to support decision-making across functions and markets. Monthly Forecasting: Prepare and review monthly forecasts, identifying variances and trends compared to budgets and providing insights for course correction. Variance Analysis and Reporting: Compare monthly results with budgets, forecasts, and prior years, preparing detailed commentary to explain variances. Executive Reporting and Presentations: Develop impactful decks and reports for board meetings and executive leadership discussions. Project Support: Assist with ad hoc projects and initiatives assigned by the manager, ensuring quality and timely delivery. Cross-Functional Collaboration: Work closely with senior stakeholders, executive leadership, client partners, and finance leaders across APAC, gaining exposure in a fast-paced, collaborative environment. Skills, Knowledge, and Experience Required Chartered Accountant (CA) with 2 3 years of experience or MBA/Cost Accountant (ICWA) with 3 5 years of experience Advanced Excel skills (including macros and VBA) and PowerPoint proficiency Strong ability to build financial models, perform sensitivity and scenario analysis, and develop reporting tools/templates Experience presenting analysis and findings at senior management meetings Mindset for Success Quick Thinker: Sharp attention to detail and ability to think on your feet Adaptable and Efficient: Perform well under tight deadlines Exceptional Communicator: Deliver clear and concise updates to stakeholders Key Soft Skills for Success Strong problem-solving abilities Proactive and collaborative approach Enthusiasm for working with diverse teams and stakeholders Ability to work under pressure and accommodate different time zones Role Requirements Working Hours: 9:00 AM to 6:00 PM IST, Monday to Friday; however, the global nature of the business may require flexibility for meetings outside these hours. Location: Hybrid work model based in Malad West, Mumbai. Attendance at the office will be required as needed. We are an equal opportunities employer and are committed to accommodating the needs of all candidates. If you require any adjustments during the interview process, please inform us so we can make the necessary arrangements. Qualification : Chartered Accountant (CA) with 2-3 years of experience

About Us Indicia Worldwide is a technology-led, insight-driven communications agency with global production expertise. Our Purpose: Creating New Value At Indicia Worldwide, we are driven by a philosophy of creating new value at every step of a brand s journey to market. We achieve this by enhancing marketing performance and reducing execution costs, building mutually beneficial partnerships with our clients and their customers. Our approach balances efficiency with effectiveness and is pioneering, entrepreneurial, and above all, sustainable. Our significant investments in technology and data science set us apart in the marketplace. By leveraging data insights and marketing technology, we can measure and optimize our work, with return on investment (ROI) as the most critical metric. We are the only agency that combines creative, data, and technology expertise with production and procurement capabilities to deliver improved marketing performance and operational efficiencies. This unique blend enables us to create more engaging, cost-effective, and sustainable customer experiences for our clients. With a rich heritage spanning print, creative production, retail, data, digital, and technology, we bring together these disciplines to support global brands in their omnichannel marketing activation. Our goal is simple: improve client performance by engaging consumers with innovative brand ideas better, faster, and more cost-effectively at every step of the journey to market. Purpose of the Role As an Individual Contributor within the Finance Shared Services team, you will be responsible for executing process-driven tasks for your assigned region. These tasks include, but are not limited to: Accounts Payable (AP) Processing: Checking, acceptance, and posting of invoices Client Invoicing: AR invoices, credit notes, and rebills Intercompany Invoicing Cash Allocations: Remittance posting Statement Reconciliations: For clients and suppliers Bank Reconciliation Staff Expense Processing Client and Supplier Queries: Investigating and resolving queries Supplier Payments: Payment runs, AR/AP matching, etc. General Accounting: Consolidation, prepayments, accruals, provisions, and transactional MIS Monthly Books Closing Activities Skills, Knowledge, and Experience Required Recent graduates or individuals with up to 1 year of experience in accounting, finance, or related fields Strong academic background in Accounting (excellent academic records are highly preferred) Advanced MS Excel skills to manage data and generate reports efficiently Mindset for Success Focused and Methodical: Manage tasks with precision and efficiency Quick Learner: Align with organizational goals and priorities effectively Structured and Reliable: Maintain consistency in processes and deliver high-quality outputs Analytical Thinker: Provide accurate and insightful analyses Deadline-Oriented: Respect deadlines and deliver tasks on schedule Soft Skills for Success Effective Communication: Clearly articulate ideas for seamless collaboration Adaptability: Embrace new challenges, tools, and processes with agility Resilience Under Pressure: Perform consistently in high-pressure situations Team Collaboration: Work harmoniously with others to achieve shared goals Role Requirements Location: Hybrid work model based in Malad West, Mumbai Flexibility: Willingness to adapt to flexible work arrangements while ensuring timely delivery We are an equal opportunities employer and are committed to making reasonable adjustments to accommodate the needs of all candidates. If you require adjustments during the interview process, please let us know so we can make the necessary arrangements.