What Jobs are available for Chief Data Officer in Delhi?

Our client is actively seeking motivated and intellectually curious Graduate Trainees to join their Data Analytics team in Delhi, Delhi . This is an exceptional opportunity for recent graduates to gain hands-on experience in a dynamic and analytical environment. As a Graduate Trainee, you will work alongside experienced data scientists and analysts, contributing to real-world projects that drive business insights. You will receive comprehensive training and mentorship, enabling you to develop critical skills in data manipulation, statistical analysis, data visualization, and predictive modeling.

Responsibilities:

• Assist in data collection, cleaning, and pre-processing from various sources.
• Support the development and execution of data analysis plans.
• Perform statistical analysis and interpret data to identify trends and patterns.
• Create compelling data visualizations and reports to communicate findings.
• Learn and apply various data modeling techniques.
• Collaborate with team members on data-driven projects.
• Participate in training sessions and workshops to enhance technical skills.
• Document data processes and methodologies.
• Contribute to brainstorming sessions for new analytical approaches.
• Assist in the validation of data integrity and accuracy.
• Adhere to all company policies and procedures, including data security protocols.

Qualifications:

• Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, Engineering, or a related quantitative field.
• Strong analytical and problem-solving skills.
• Basic understanding of statistical concepts and data analysis techniques.
• Familiarity with programming languages like Python or R is a plus.
• Knowledge of data visualization tools (e.g., Tableau, Power BI) is advantageous.
• Excellent communication and interpersonal skills.
• Ability to work collaboratively in a team environment.
• Eagerness to learn and a strong desire to develop expertise in data analytics.
• Attention to detail and commitment to producing high-quality work.
• Proactive and takes initiative to understand and contribute to projects.

This internship is based in our client's office in Delhi, Delhi , offering an immersive and educational experience in the field of data analytics. Successful interns may be considered for full-time positions based on performance and business needs.

Our client is seeking enthusiastic and ambitious recent graduates to join their prestigious Graduate Trainee program in Data Analytics, based in Delhi, Delhi, IN . This is an exceptional opportunity for individuals eager to launch their careers in the exciting field of data science and analytics. As a Graduate Trainee, you will receive comprehensive training and mentorship from industry experts, working on real-world projects that provide valuable hands-on experience. You will learn to collect, clean, analyze, and interpret large datasets to uncover insights, build predictive models, and support data-driven decision-making across various business functions. This program is designed to nurture talent and provide a strong foundation for a successful career in data analytics.

Key Responsibilities:

• Assist in collecting and organizing data from various sources.
• Perform data cleaning and preprocessing to ensure data quality and consistency.
• Conduct exploratory data analysis to identify trends, patterns, and anomalies.
• Support the development of reports and dashboards to visualize data insights.
• Learn and apply statistical methods and machine learning techniques.
• Collaborate with senior analysts and data scientists on ongoing projects.
• Contribute to data storytelling and presenting findings to stakeholders.
• Gain proficiency in data analysis tools and programming languages such as Python, R, and SQL.
• Participate in training sessions and workshops to enhance analytical skills.
• Adhere to data privacy and security policies.

Qualifications:

• Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, Engineering, or a related quantitative field.
• Strong academic record with a demonstrated interest in data analysis.
• Basic understanding of statistical concepts and analytical techniques.
• Familiarity with at least one programming language commonly used in data analysis (e.g., Python, R, SQL).
• Excellent analytical and problem-solving skills.
• Strong attention to detail and commitment to data accuracy.
• Good communication and teamwork abilities.
• Eagerness to learn and adapt to new technologies and methodologies.
• Proactive attitude and a strong desire to contribute to team goals.
• Must be eligible to work in India.

Our client is offering an exceptional Graduate Trainee opportunity in Data Analytics, designed for ambitious recent graduates looking to kickstart their careers in a data-driven environment. This is an on-site position at our **Delhi, Delhi, IN** office, providing hands-on experience and mentorship from seasoned data professionals. You will be immersed in real-world data projects, learning to extract insights, build reports, and contribute to data-informed decision-making across various business functions.

As a Graduate Trainee, you will work with large datasets, utilizing analytical tools and techniques to identify trends, patterns, and opportunities for business improvement. Your responsibilities will include data cleaning, data visualization, building dashboards, and assisting in the preparation of analytical reports. The ideal candidate will possess strong analytical and quantitative skills, a curious mind, and a passion for working with data. Familiarity with SQL for data extraction and manipulation, and basic understanding of data visualization tools (e.g., Tableau, Power BI) or statistical software (e.g., R, Python) is highly desirable.

This program is structured to provide comprehensive training and development, allowing you to gain practical experience in data analysis, reporting, and business intelligence. You will collaborate with different teams, understand their data needs, and help them leverage data to achieve their objectives. We are looking for individuals who are eager to learn, possess excellent communication skills, and have a proactive approach to problem-solving. This traineeship offers a competitive stipend and an invaluable opportunity to develop a strong foundation in data analytics, setting you on a path towards a successful career in this rapidly growing field.

Key Responsibilities:

• Assist in data collection, cleaning, and preparation processes.
• Perform data analysis to identify trends, patterns, and insights.
• Develop and maintain data visualizations and dashboards.
• Support the creation of analytical reports and presentations.
• Collaborate with business stakeholders to understand data requirements.
• Learn and apply various data analysis techniques and tools.
• Contribute to data quality initiatives.
• Assist in the testing and validation of analytical models.
• Participate in team meetings and knowledge-sharing sessions.
• Adhere to data governance and security policies.

Qualifications:

• Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
• Strong analytical and problem-solving abilities.
• Basic knowledge of SQL for data querying.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) or programming languages for data analysis (e.g., R, Python) is a plus.
• Excellent communication and interpersonal skills.
• Eagerness to learn and a proactive attitude.
• Ability to work collaboratively in a team environment.
• Detail-oriented and organized.

This is an excellent entry-level opportunity to gain practical experience in data analytics within a supportive and dynamic setting.

Embark on an exciting journey with our client, a dynamic organization seeking motivated individuals to join their team as Advanced Apprentices in Data Analytics. This program is meticulously designed to provide comprehensive training and hands-on experience in the ever-evolving field of data science and analysis. You will be immersed in real-world projects, learning to collect, clean, analyze, and interpret complex datasets to extract actionable insights. Key responsibilities will include assisting senior analysts in developing data models, creating compelling visualizations, and contributing to the formulation of data-driven strategies that inform business decisions. The role requires a keen eye for detail, strong problem-solving skills, and an insatiable curiosity about uncovering patterns within data. You will gain proficiency in industry-standard tools and programming languages such as SQL, Python, and R, alongside data visualization platforms like Tableau or Power BI. Our client is committed to fostering a supportive learning environment where you will receive mentorship from experienced professionals, attend workshops, and gradually take on more responsibility. This is an unparalleled opportunity to build a robust foundation for a successful career in data analytics. The ideal candidate will possess a foundational understanding of statistics and mathematics, a willingness to learn quickly, and excellent communication skills to present findings. While prior experience is beneficial, it is not strictly required as comprehensive training will be provided. We are looking for individuals who are proactive, eager to contribute, and possess a strong aptitude for logical thinking. Join us in our pursuit of data excellence and innovation right here in the heart of Delhi, Delhi, IN .

Our client is a forward-thinking organization at the forefront of agricultural innovation and is seeking a highly skilled Senior Agronomist specializing in remote sensing and data analytics to join their fully remote team. This pivotal role involves leveraging cutting-edge technologies to monitor crop health, optimize resource management, and enhance agricultural productivity on a large scale. You will be responsible for the acquisition, processing, and analysis of data from various sources, including satellite imagery, drone surveys, and ground-based sensors. Utilizing your expertise in GIS, statistical modeling, and machine learning, you will develop predictive models for yield forecasting, disease detection, and soil health assessment. This position demands a strong understanding of agronomic principles combined with advanced technical capabilities. You will work closely with agronomists, data scientists, and farm managers to translate complex data insights into actionable recommendations for sustainable and efficient farming practices. The successful candidate will be adept at communicating technical findings to diverse audiences and driving data-informed decision-making across the agricultural value chain. This is an exceptional opportunity to shape the future of agriculture through data-driven insights, all while working remotely.

Responsibilities:

• Acquire, process, and analyze geospatial data from satellite, aerial, and ground-based sensors for agricultural applications.
• Develop and implement algorithms for crop health monitoring, yield prediction, and stress detection using remote sensing techniques.
• Utilize GIS software (e.g., ArcGIS, QGIS) for data visualization, spatial analysis, and map creation.
• Apply statistical methods and machine learning techniques to interpret large agricultural datasets.
• Collaborate with field agronomists to ground-truth remote sensing data and validate models.
• Develop data-driven recommendations for precision agriculture practices, including irrigation, fertilization, and pest management.
• Communicate complex analytical findings and insights to stakeholders, including technical and non-technical audiences.
• Stay abreast of advancements in remote sensing technology, agricultural data analytics, and relevant software.
• Contribute to the design and implementation of data management systems for agricultural projects.
• Ensure data quality and integrity throughout the analysis pipeline.
• Prepare reports, presentations, and publications summarizing research findings and project outcomes.

Qualifications:

• Master's or Ph.D. in Agronomy, Soil Science, Remote Sensing, Agricultural Engineering, or a related field with a strong focus on data analysis.
• Minimum of 6 years of experience in applying remote sensing and data analytics to agriculture.
• Proficiency in GIS software (e.g., ArcGIS, QGIS) and remote sensing image processing tools (e.g., ENVI, ERDAS Imagine).
• Strong programming skills in Python or R for data analysis and modeling.
• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Familiarity with agricultural data standards and formats.
• Excellent understanding of crop physiology, soil science, and agronomic principles.
• Proven ability to work independently and manage projects effectively in a remote environment.
• Strong communication and presentation skills.
• Experience with cloud computing platforms (e.g., AWS, Azure, GCP) is a plus.

Our client, a leading global conglomerate, is excited to offer a fully remote Graduate Rotational Program with a specialized track in Data Analytics. This is an exceptional opportunity for high-achieving recent graduates to gain diverse experience across various business units, focusing on leveraging data to drive strategic decisions. Over the course of the program, you will tackle challenging projects, develop critical analytical skills, and receive mentorship from industry leaders.

This program is designed for individuals eager to learn, grow, and make a tangible impact. As a fully remote participant, you will collaborate with teams across different geographies, gaining a global perspective. We are committed to fostering a supportive and inclusive learning environment where you can build a strong foundation for a successful career.

Program Highlights:

• Rotational Experience: Spend time in various departments (e.g., Marketing Analytics, Operations, Finance, Product Development) applying data analytics techniques to real-world business problems.
• Skill Development: Participate in workshops and training sessions focused on data visualization tools (Tableau, Power BI), SQL, Python for data analysis, statistical modeling, and A/B testing.
• Mentorship: Receive dedicated guidance and support from experienced mentors who will help shape your professional development.
• Networking: Connect with a cohort of talented peers and senior leaders across the organization.
• Capstone Project: Apply your learnings to a significant analytical project, presenting your findings and recommendations to senior management.

Ideal Candidate Profile:

• Recent graduate (within the last 12 months) with a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Economics, Computer Science, Business Analytics, or a related quantitative field.
• Demonstrated strong analytical and problem-solving skills, with a passion for data.
• Proficiency in SQL and at least one programming language commonly used for data analysis (e.g., Python, R).
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Excellent communication and presentation skills, with the ability to explain complex data insights clearly.
• Proactive, curious, and eager to learn new technologies and methodologies.
• Ability to work independently and collaboratively in a remote team environment.
• Strong organizational skills and attention to detail.

This is a fully remote internship opportunity, providing a competitive stipend, valuable experience, and a potential pathway to full-time employment within our client's organization. Located in **Delhi, Delhi, IN**, this program aims to recruit top talent nationwide.

**Make an impact with NTT DATA**
Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion - it's a place where you can grow, belong and thrive.
**Key Responsibilities:**
+ Collaborates with various stakeholders to analyze data requirements, develop data models, and ensure the integrity and security of our data infrastructure.
+ Accountable for defining how the data will be stored, consumed, integrated and managed by different data entities and IT systems, as well as any applications using or processing that data in some way.
+ Supports the creation of a data governance framework to meet business and technology requirements while ensuring data security and compliance with regulations, and ensure it is integrated in relevant processes across the organization.
+ Works across multiple teams for the optimization of data storage and retrieval, enhance data quality and governance, and guides the organization in making informed data-driven decisions.
+ Accountable for translating business requirements into databases, data warehouses, and data streams, collaborates with other teams and business stakeholders to understand data requirements and designs appropriate data models and structures.
+ Designs and implements data integration and data flow processes to ensure efficient data movement across different systems and platforms.
+ Analyzes, plans, and defines data architecture framework, including security, reference data, metadata, and master data.
+ Accountable for defining and implementing data governance policies and procedures to ensure data accuracy, consistency, and security.
+ Works across multiple teams for the planning and facilitation of data governance communities, workshops, and meetings.
+ Analyzes existing data systems and identifies opportunities for improvement, recommending innovative solutions to enhance data management and analytics capabilities.
+ Accountable for defining and maintaining data standards, data definitions, and data dictionaries to ensure consistency and interoperability.
+ Works across multiple teams for the definition of technical standards and guidelines that pertain to data and information use, security, access and governance (including defining accountabilities in support of data quality mandates).
+ Creates diagrams showing key data entities and creates an inventory of the data needed to implement the architecture vision.
**Knowledge and Attributes:**
+ Seasoned understanding of data governance, data integration, data quality, data lifecycle processes and data management best practices, and how these impacts business performance.
+ Enterprise-wide view of the business and strong appreciation for strategy, processes and capabilities, enabling technologies, and governance.
+ Seasoned in preparing, facilitating, and driving forums, communities, workshops, and meetings with people across various levels of the organization.
+ A capable change agent and communicator knowing how to demonstrate the value of data governance, create organizational buy-in and get the organization to understand data governance.
+ Ability to collaborate and communicate effectively with team members, contributing to their success.
+ Ability to build relationships, manage business partners and navigate with ease at all levels of the organization from senior management to specialists.
+ Seasoned in developing communication and training materials and training people in Data Governance.
+ Good understanding of IT domains of information, security, application, technology infrastructure and integration
+ Problem-solving and analytical capabilities to safeguard data integrity, security, and organization
+ Good understanding of data security and privacy regulations (e.g., GDPR, CCPA) and experience implementing data protection measures.
+ Good understanding of data modelling techniques, data warehousing concepts, and database management systems.
+ Seasoned in SQL and experience with database development and performance optimization.
+ Seasoned in data visualization tools and techniques
**Academic Qualifications and Certifications:**
+ Bachelor's degree or equivalent in either Information Systems or Computer Science or a related field.
+ Certifications in data management or related areas (e.g., DAMA Certified Data Management Professional) preferred.
**Required experience:**
+ Seasoned experience working as a Data Governance Specialist or in a similar role.
+ Seasoned experience in developing and implementing data governance strategies, frameworks, and operating models.
+ Seasoned experience in developing training materials, conducting data governance workshops, and facilitating knowledge sharing sessions.
+ Seasoned experience with data management tools and technologies.
+ Seasoned experience in developing data governance frameworks, data dictionaries, data classification schemes, and data standards is desirable.
+ Seasoned experience in ensuring data governance practices align with regulatory guidelines and managing compliance audits.
**Workplace type** **:**
Hybrid Working
**About NTT DATA**
NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo.
**Equal Opportunity Employer**
NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.

Our client is looking for a talented and innovative Data Scientist to contribute to their advanced analytics initiatives in Delhi, Delhi . This position focuses on developing and implementing predictive models to drive business decisions and uncover actionable insights from large datasets. The successful candidate will be responsible for the entire data science lifecycle, from data acquisition and preprocessing to model deployment and performance monitoring. You will work closely with cross-functional teams to understand business challenges and translate them into data-driven solutions. This role requires a strong foundation in statistical analysis, machine learning algorithms, and programming skills.

Key Responsibilities:

• Collecting, cleaning, and transforming raw data from various sources to prepare it for analysis.
• Designing, developing, and validating predictive models using statistical and machine learning techniques (e.g., regression, classification, clustering, time series forecasting).
• Performing exploratory data analysis to identify trends, patterns, and anomalies.
• Evaluating model performance and iteratively improving accuracy and robustness.
• Deploying models into production environments and establishing monitoring systems to track performance.
• Communicating complex findings and insights clearly to technical and non-technical stakeholders through reports and visualizations.
• Collaborating with engineering teams to integrate models into existing systems and applications.
• Staying abreast of the latest advancements in data science, machine learning, and artificial intelligence.
• Contributing to the development of data governance and best practices within the organization.
• Mentoring junior data analysts and contributing to a data-driven culture.

Required Skills and Qualifications:

• Master's or Ph.D. in a quantitative field such as Computer Science, Statistics, Mathematics, Physics, or a related discipline.
• Proven experience (3+ years) in data science and building predictive models.
• Proficiency in programming languages such as Python or R, and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, pandas, NumPy).
• Strong understanding of machine learning algorithms and statistical modeling techniques.
• Experience with SQL and database management.
• Familiarity with big data technologies (e.g., Spark, Hadoop) is a plus.
• Excellent problem-solving and analytical skills.
• Strong communication and presentation skills.
• Ability to work effectively in a hybrid team environment.

This is an exciting opportunity for a passionate Data Scientist to make a significant impact by leveraging data to solve challenging business problems. Our client offers a stimulating work environment and opportunities for professional growth.

Our client is seeking a highly experienced and results-oriented Senior Data Scientist to join their innovative team on a fully remote basis. In this critical role, you will leverage advanced statistical modeling, machine learning, and data mining techniques to uncover actionable insights from complex datasets. Your work will directly influence strategic decision-making across various business functions, driving efficiency and identifying new opportunities. This position requires a deep understanding of predictive modeling, data visualization, and the ability to communicate technical findings to non-technical stakeholders.

Responsibilities:

• Develop, implement, and deploy predictive models to forecast business trends, customer behavior, and operational outcomes.
• Design and execute experiments to test hypotheses and validate model performance.
• Clean, transform, and preprocess large, complex datasets from various sources.
• Collaborate with business stakeholders to understand their challenges and translate them into data science problems.
• Identify opportunities for leveraging advanced analytical techniques to solve business problems.
• Build and maintain data pipelines for model training and deployment.
• Communicate complex analytical results and insights clearly and concisely to both technical and non-technical audiences through visualizations and presentations.
• Stay current with the latest advancements in data science, machine learning, and artificial intelligence.
• Mentor junior data scientists and contribute to the team's knowledge base.
• Ensure the ethical and responsible use of data and analytical models.

Qualifications:

• Master's or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
• Minimum of 7 years of professional experience as a Data Scientist or in a similar analytical role.
• Proven experience in building and deploying predictive models using machine learning algorithms (e.g., regression, classification, clustering, time series analysis).
• Proficiency in programming languages such as Python or R, and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, pandas, NumPy).
• Strong experience with SQL and working with relational databases.
• Familiarity with big data technologies (e.g., Spark, Hadoop) is a plus.
• Excellent data visualization skills using tools like Matplotlib, Seaborn, Tableau, or Power BI.
• Exceptional problem-solving abilities and strong analytical thinking.
• Outstanding communication and presentation skills, with the ability to explain complex concepts.
• Experience working effectively in a remote team environment and managing projects independently.

This role offers the flexibility of being fully remote, with the successful candidate joining our team based in **Delhi, Delhi, IN**.