NatWest Group is hiring for an FRESHER entry level Data Scientist role in India

Position:

Data Scientist

• Opportunity to work in a data focused role where analytical thinking, programming knowledge, and statistical methods are used to solve complex business problems.

• Role focuses on designing and implementing data science solutions that support the organization in making better decisions based on data insights.

• Position involves working with large datasets and transforming raw information into actionable intelligence that can help drive business strategies.

• The individual in this role will apply a blend of mathematics, statistics, machine learning, and programming to uncover patterns in data and support customer focused solutions.

• The role is positioned at an associate level within the organization and provides exposure to real business problems within the banking and financial services sector.

• Data scientists in this position collaborate with various teams including engineering, analytics, and business strategy teams to develop scalable analytics products.

• The role encourages curiosity, experimentation, and continuous learning to improve analytical models and data driven solutions.

• Employees will have the opportunity to work on initiatives that directly influence how the organization interacts with customers and how services are improved through data insights.

• The role also includes promoting a culture where business decisions are supported by evidence and insights derived from data analysis.

• Individuals will be encouraged to experiment with different algorithms, modeling techniques, and data exploration strategies to identify meaningful insights.

Company:

NatWest Group

• NatWest Group is a major banking and financial services organization with a long history of supporting individuals, businesses, and communities through responsible banking practices.

• The organization focuses on using technology and data driven strategies to deliver better services to customers while ensuring safety, security, and transparency in financial operations.

• Through its digital transformation initiatives, the company aims to simplify financial experiences for customers while maintaining strong governance and compliance standards.

• The company operates across multiple regions and has developed a strong presence in digital banking, analytics, and modern financial services solutions.

• Employees at the organization work in diverse teams that include professionals from data science, engineering, product development, operations, and strategy backgrounds.

• The company promotes collaboration and knowledge sharing across departments to ensure that innovative solutions are developed through collective expertise.

• NatWest Digital X, one of the core divisions of the organization, focuses on creating modern digital banking solutions that improve customer interactions and operational efficiency.

• The organization is committed to building secure digital platforms while ensuring that customer data remains protected and responsibly used.

• Teams across the organization work with advanced technologies such as cloud platforms, machine learning tools, and large scale data infrastructure.

• By encouraging experimentation and learning, the company creates an environment where employees can explore new technologies and analytical approaches to solve complex problems.

Location:

Gurugram, India

• The role is based in Gurugram, a major technology and corporate hub located near New Delhi in India.

• Gurugram has become one of the most important business districts in the country with the presence of global technology companies, financial institutions, and consulting firms.

• The NatWest campus in Gurugram offers a modern work environment with collaborative spaces designed to encourage teamwork and innovation.

• The office is situated in Candor TechSpace located in Sector 21, which is known for hosting large corporate campuses.

• The campus spans a large area and supports thousands of employees working in different business functions.

• Employees working at the Gurugram office benefit from exposure to global projects and teams located across different regions.

• The location provides strong connectivity to Delhi and other nearby cities through highways, metro networks, and public transportation.

• Professionals working here can access modern infrastructure including office facilities designed for productivity, meeting rooms, and collaborative workspaces.

• The area surrounding the campus includes residential communities, restaurants, shopping centers, and recreational spaces that support work life balance.

• The Gurugram office is an important center for technology, analytics, and operations functions within the organization.

Job type:

Full Time Permanent Role

• The role is offered as a full time permanent position within the organization.

• Employees joining this role become part of a long term team focused on building and improving data driven capabilities within the company.

• Permanent roles offer stability and opportunities for growth within the organization through internal mobility and skill development programs.

• Employees will work closely with other data professionals including data engineers, machine learning specialists, and business analysts.

• The position supports both technical learning and exposure to business strategy initiatives.

• Individuals in this role can grow into advanced analytics, machine learning, or leadership positions depending on their career interests.

• Full time employees receive access to internal training programs and professional development initiatives.

• The company encourages continuous improvement and learning through workshops, internal communities, and technical discussions.

• Long term employment allows employees to contribute to major data initiatives that evolve over time and influence strategic outcomes.

• The position also provides opportunities to work on cross functional projects involving multiple teams.

Job mode:

Hybrid Working

• The role follows a hybrid work model that combines both office and remote working arrangements.

• Employees are expected to perform their primary work responsibilities within India while having flexibility regarding where certain tasks are completed.

• Hybrid work allows team members to collaborate in person when necessary while maintaining flexibility for focused work from home.

• This arrangement supports better work life balance while ensuring that collaboration and team engagement remain strong.

• Employees may participate in in person meetings, workshops, and project discussions at the office location when required.

• Remote working days allow employees to concentrate on technical tasks such as data analysis, model development, and coding.

• The hybrid approach helps maintain productivity while allowing professionals to manage personal responsibilities effectively.

• Teams coordinate schedules to ensure effective collaboration and communication across different roles.

• Employees are provided with digital tools and platforms that support remote collaboration and project tracking.

• Hybrid work policies are designed to help employees remain productive while maintaining a supportive work environment.

Job requisition id:

R-00272379

• This role is identified internally within the company using the job requisition number R-00272379.

• The requisition ID helps candidates track the position when applying or communicating with the recruitment team.

• It also assists internal teams in managing the hiring process efficiently.

• Candidates may use this identifier when searching for the job on the company career portal.

• The job requisition ID ensures that applicants are applying to the correct position during the recruitment process.

• It helps recruiters manage application workflows and coordinate with hiring managers across departments.

• The identifier also assists in maintaining accurate records for job postings and recruitment reporting.

• Applicants may reference this ID when following up regarding their application status.

• The requisition number also helps internal systems categorize and track the role across different hiring platforms.

• Maintaining a clear identifier ensures transparency in the hiring process.

Years of experience:

0 to 3 Years

• The role is designed for individuals who are early in their careers and interested in applying data science techniques to real business challenges.

• Candidates with limited professional experience but strong academic knowledge in quantitative fields are encouraged to apply.

• Individuals with internship experience, research work, or academic projects related to data science and analytics may also be suitable for this role.

• Early career professionals who have experience working with machine learning libraries, programming languages, or data analysis tools will find this role suitable.

• Fresh graduates with strong analytical skills and interest in applying machine learning techniques to business problems can also succeed in this position.

• Candidates who have worked on academic research, competitions, or independent data projects may demonstrate the required capabilities.

• The organization values problem solving skills and curiosity over extensive work experience for this position.

• Individuals who enjoy exploring datasets, testing hypotheses, and building predictive models will benefit from the learning opportunities provided.

• Early career data professionals can gain exposure to large scale data systems and real world financial datasets.

• This experience helps build strong foundations for future roles in advanced analytics, machine learning engineering, or data leadership.

Company description

• NatWest Group is a well established financial institution that serves millions of customers through its banking products and financial services.

• The company has built a strong reputation for supporting individuals, businesses, and communities through responsible banking practices.

• Over the years, the organization has embraced technology and innovation to transform traditional banking operations into modern digital services.

• Digital transformation initiatives have become central to the company’s strategy as customer expectations continue to evolve toward faster and more convenient financial services.

• The company focuses on building secure digital platforms that allow customers to manage finances easily while maintaining strict data protection and security standards.

• Within the organization, NatWest Digital X plays an important role in developing technology solutions that enhance customer experiences and improve operational efficiency.

• Teams within this division work on building new digital products, improving data systems, and developing intelligent analytics solutions.

• Employees collaborate across departments to create technology driven solutions that support both customers and internal business functions.

• The company encourages a culture of continuous learning where employees are encouraged to explore new technologies and develop modern analytical skills.

• By combining financial expertise with technology innovation, NatWest aims to deliver reliable services while adapting to changes in the digital banking industry.

Profile overview:

• The Data Scientist role focuses on using analytical methods and machine learning techniques to extract meaningful insights from large datasets.

• Professionals in this role analyze data to identify trends, patterns, and relationships that can support business decision making.

• The position involves developing predictive models and analytical tools that help the organization better understand customer behavior and business performance.

• Data scientists work closely with business stakeholders to translate business problems into analytical questions that can be addressed using data.

• The role requires strong programming skills and knowledge of machine learning frameworks used for model development and experimentation.

• Professionals will design data pipelines and build analytical workflows that transform raw data into structured insights ready for decision making.

• The role includes developing scalable models that can eventually be deployed within production systems used by the organization.

• Data scientists collaborate with cross functional teams including engineers, analysts, and product managers to develop analytics products that create business value.

• The position encourages experimentation through hypothesis testing, model iteration, and continuous improvement of analytical solutions.

• By applying both technical expertise and business understanding, data scientists contribute to initiatives that support long term strategy and operational efficiency.

Qualifications:

• Candidates should have a strong academic background in quantitative disciplines such as mathematics, physics, engineering, statistics, or computer science.

• Academic training in data analysis, machine learning, or artificial intelligence will be beneficial for this role.

• Knowledge of statistical modeling techniques is important for building predictive models and analyzing complex datasets.

• Experience working with programming languages used in data science such as Python or similar tools will help candidates perform data analysis and model development tasks.

• Familiarity with machine learning algorithms including regression, clustering, and classification methods will be valuable for solving business problems.

• Candidates should have experience performing exploratory data analysis to identify patterns and relationships in datasets.

• Understanding data visualization techniques will help communicate analytical insights effectively to business stakeholders.

• Experience with cloud based platforms and modern data infrastructure will support model development and deployment processes.

• Strong analytical thinking and problem solving skills are required to interpret data and develop meaningful solutions.

• Communication skills are important because data scientists must present insights and explain technical concepts to both technical and non technical stakeholders.

Additional info:

• The organization encourages employees to participate in internal data communities where knowledge sharing and collaboration are promoted.

• Data scientists are expected to contribute to discussions related to analytical methods, tools, and best practices used within the company.

• Employees may work on multiple projects simultaneously depending on the needs of different business units.

• Agile working practices are commonly used within project teams to ensure efficient collaboration and faster delivery of analytics solutions.

• Teams often operate within sprint cycles where tasks are planned, executed, and reviewed regularly.

• Employees are encouraged to continuously experiment with new analytical approaches to improve model performance and insights.

• Ethical use of data and responsible model development are important considerations when building machine learning solutions.

• Professionals in this role will gain exposure to governance processes that ensure models meet regulatory and ethical standards.

• The company supports continuous learning through internal training programs and skill development opportunities.

• Employees are encouraged to expand their expertise in data science, machine learning, and cloud technologies as part of their career growth.

Please click here to apply.