American Express is hiring for a fresher entry level Data Science Research Scientist role in India

Position:

• Research Scientist (Data Science)

• Entry-level opening within the data science and advanced analytics space

• Role designed for candidates interested in applying modern data science methods in real business settings

• Involves working with large datasets, algorithms, and machine learning tools to generate insights

Company:

• American Express

• Global financial services leader with over 175 years of presence

• Known for innovation, customer service excellence, and strong employee backing

• Provides opportunities for growth, skill development, and holistic well-being

Location:

• Gurugram, Haryana, India

• Dynamic and expanding technology and business hub

• Offers exposure to global-scale projects and cross-functional collaboration

Job type:

• Full-time employment

• Long-term growth opportunities for individuals in analytics and data science

Job mode:

• Hybrid model

• Flexibility to balance in-office and remote work as per role requirements

Job requisition id:

• 25011626

Years of experience:

• Entry-level, suitable for early career professionals

• Open to candidates with 0-3 years of prior exposure in analytics or related roles

---

Company description

• American Express is one of the most recognized and respected financial institutions globally, serving millions of customers across regions.

• With more than 175 years of legacy, the company has continually reinvented itself, leading with innovation, customer focus, and technological advancements.

• Known as “Team Amex,” employees experience a supportive environment where their work has impact and their voice matters.

• American Express invests heavily in the well-being of its people, offering financial, physical, and mental health support along with career development programs.

• The organization’s leadership behaviors emphasize collaboration, integrity, and customer commitment.

• Operating across payments, credit cards, and financial services, American Express empowers businesses and individuals alike to achieve more.

• Diversity and inclusion form a core part of the company’s philosophy, ensuring equal opportunities across all levels.

• With global operations, the company provides exposure to world-class projects, advanced technologies, and challenging problem-solving opportunities.

• American Express maintains a strong presence in India, where its technology and analytics teams play a crucial role in shaping worldwide services.

• Employees are encouraged to innovate, experiment with new methods, and continuously evolve their skills to stay aligned with the fast-changing landscape of data and finance.

---

Profile overview

• This role belongs to the GSG Advanced Analytics team, which operates within the Global Servicing Group’s MIS Center of Excellence.

• The position focuses on applying data science and machine learning techniques to solve business problems across multiple domains.

• Selected candidates will be responsible for understanding business requirements, translating them into data science solutions, and implementing models that add measurable value.

• A strong research mindset is expected, as the role involves exploring new algorithms, techniques, and technologies, especially in the field of NLP.

• Candidates will be actively involved in conceptualizing problems, developing scalable solutions, and testing algorithms rigorously against business benchmarks.

• The role offers opportunities to work with large, complex datasets, requiring proficiency in programming and statistical tools.

• Exposure to cutting-edge machine learning models, performance testing frameworks, and NLP methods will form part of the core responsibilities.

• Collaboration across teams is central to this role, making communication and teamwork skills equally important as technical expertise.

• The role is ideal for individuals who want to bridge research with applied analytics, experimenting with advanced ML methods while delivering practical outcomes.

• Overall, the profile blends technical depth, problem-solving, and business impact, creating a holistic learning and growth platform for young professionals.

---

Qualifications

• Foundational requirement includes proficiency in machine learning techniques such as regression, classification, clustering, and deep learning.

• Hands-on knowledge of SQL for database interaction and data wrangling is essential.

• Ability to work with Python libraries such as pandas, numpy, nltk, gensim, and spacy.

• Exposure to deep learning frameworks like TensorFlow or PyTorch is highly desirable.

• Candidates should possess strong visualization and data storytelling skills.

• Preference is given to candidates with a Master’s degree in quantitative fields such as Statistics, Computer Science, Mathematics, Engineering, Economics, or Finance.

• Research publications in applied NLP, GenAI, or deep learning add significant value.

• Understanding of mathematical foundations including linear algebra, Bayesian statistics, and group theory is appreciated.

• Prior experience with models like Transformers, LSTMs, or CNNs is advantageous.

• A curious mindset and eagerness to experiment with new techniques are key to thriving in this position.

---

Additional info

• Employees will benefit from competitive salaries and performance-based incentives.

• The company supports retirement and financial well-being plans.

• Comprehensive medical, dental, vision, life, and disability insurance are offered depending on location.

• Flexible work arrangements with hybrid, onsite, or virtual options are provided as per business requirements.

• Parental leave policies, wellness centers, and confidential counseling support ensure overall well-being.

• Employees gain free access to mental health programs like Healthy Minds.

• Career development opportunities include structured training programs, leadership development initiatives, and exposure to cross-functional projects.

• American Express promotes equal opportunity employment, ensuring decisions are free from bias relating to race, religion, gender, identity, or disability.

• Offers of employment are conditional upon successful background checks as per local laws.

• A culture of innovation, respect, and collaboration makes the workplace one where employees can truly thrive.

Please click here to apply.