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Analyst-Data Science

  • Job
    Full-time
    Entry, Junior & Mid Level
  • Data
    Research & Development
  • Gurgaon

AI generated summary

  • You need experience in Machine Learning, SQL, data wrangling, and visualization. A Master’s in a quantitative field, strong Python skills, and familiarity with NLP/Deep Learning are essential.
  • You will analyze business problems, apply NLP techniques, test algorithms, debug code in Python, and derive insights from large datasets to create scalable solutions for process improvements.

Requirements

  • Proven experience of applying using Machine Learning techniques like Regression, Classification, Supervised or Unsupervised Recommenders, Deep Learning etc.
  • Ability to work in cross functional teams
  • Excellent data wrangling and visualization skills
  • Hands on knowledge of SQL is expected
  • A research mindset with a zeal to experiment new algorithms is expected
  • Master’s in a quantitative field (e.g., Finance, Engineering, Mathematics, Statistics Computer Science or Economics) from a top institute.
  • A set of high impact research papers on applied NLP/ Deep Learning/ GenAI
  • Prior experience working with Transformers/LSTMs/CNNs preferred
  • Working knowledge of finetuning Large Language Models(LLMs) is a plus
  • Deep knowledge of Statistics and Maths and ability to dissect problems from the first principle. Exposure to fields like Linear Algebra, Bayesian Statistics, Group theory is desirable
  • Complete grip on Python environment and libraries (pandas, numpy, nltk, statsmodels, gensim, pyspark, spacy, transformers), Deep learning expertise is preferred and any of Tensorflow/Torch is preferred.

Responsibilities

  • Understand the overall business perspective and help conceptualize the business problem into a Data Science/ML roadmap
  • Have a research bend of mind and read/engage/apply new techniques and algorithms in the field to generate efficiencies/process improvements.
  • Rigorous testing of algorithms as per business norms and delivering significant working leverage over status quo and generate value for the business.
  • Capability of writing, debugging and compiling codes in multiple Machine Learning environment and understanding of Python stack is necessary
  • Research focus on problem solving through NLP(Natural Language Processing) is critical.
  • Clear application on performance testing and validation framework of machine learning models
  • Understand and deploy mathematical foundations of cutting edge NLP techniques on varied sources of data
  • Willingness to derive insights from terabyte sized data and capability to design scalable solutions is paramount

FAQs

What is the primary focus of the Analyst-Data Science role at American Express?

The primary focus is to work within the GSG Advanced Analytics team on various Data Science and Machine Learning projects, particularly in the area of Servicing.

What qualifications are required for the Analyst-Data Science position?

A proven experience in Machine Learning techniques, excellent data wrangling and visualization skills, as well as hands-on knowledge of SQL are required.

Is a specific degree necessary for this role?

Yes, a Master’s in a quantitative field such as Finance, Engineering, Mathematics, Statistics, Computer Science, or Economics is preferred.

Are there opportunities for career development in this role?

Yes, American Express offers various career development and training opportunities to support your growth.

What types of Machine Learning techniques should candidates be familiar with?

Candidates should be familiar with techniques such as Regression, Classification, Supervised or Unsupervised Recommenders, and Deep Learning.

Is experience with Natural Language Processing (NLP) important for this role?

Yes, a clear application and research focus on problem-solving through NLP is critical for this position.

What programming language is primarily used in this job?

Python is the primary programming language used, along with various libraries such as pandas, numpy, nltk, and more.

Does the company offer benefits related to mental health?

Yes, American Express offers free and confidential counseling support through their Healthy Minds program.

Is there an emphasis on teamwork for this position?

Yes, the ability to work in cross-functional teams is an important qualification for this role.

What kind of testing and validation experience is expected?

Candidates should have experience in performance testing and validation frameworks of machine learning models.

Finance
Industry
10,001+
Employees
1850
Founded Year

Mission & Purpose

At American Express, we know that with the right backing, people and businesses have the power to progress in incredible ways. Whether we’re supporting our customers’ financial confidence to move ahead, taking commerce to new heights, or encouraging people to explore the world, our colleagues are constantly striving to uphold our powerful backing promise to our customers and each other every day. These beliefs have been our North Star for 170 years as our business transformed – from helping evacuate travelers during World Wars, to ensuring the safety of our customers’ funds during the Great Depression in the U.S., to creating the Shop Small® movement to help small businesses recover from the Financial Crisis, to providing aid to communities impacted by many natural disasters and so much more. For generations, the key to our success has been the determination and resilience of our American Express colleagues. Now, as a globally integrated payments company, we work together to provide customers with access to products, insights and world-class experiences that enrich lives and build business success. Join us and let’s lead the way together.

Culture & Values

  • We Back Our Customers

    Relationships are at the heart of our business. We strive to be essential to our customers by delivering exceptional products, services and experiences every day – and promise to have their backs in everything we do.

  • We Make It Great

    We deliver an unparalleled standard of excellence in everything we do, staying focused on the biggest opportunities to be meaningful to our customers. From our innovative products to our world-class customer service, our customers expect the best—and our teams are proud to deliver it.

  • We Do What’s Right

    Customers choose us because they trust our brand and people. We earn that trust by ensuring everything we do is reliable, consistent, and with the highest level of integrity.

  • We Respect People

    We trust and respect one another for who we are and what we contribute. We are accountable to one another and empower every voice through open, courageous dialogue so others feel heard.

  • We Embrace Diversity

    We see diversity of people and experiences as fuel for the creativity and innovation we need to be and deliver our best.

  • We Stand for Inclusion

    We all have biases. However, we do not tolerate bias that excludes or minimizes anyone – all people belong. We’re committed to ensuring that we have a welcoming and inclusive culture where everyone’s voice matters and where people of all races, ethnicities, genders, gender identities, sexual orientations, ages, religions, disabilities and viewpoints can thrive.

  • We Win As a Team

    We view each other as colleagues—part of the same team, striving to deliver the brand promise to our customers and each other every day. Individual performance is essential and valued, but never at the expense of the team.

  • We Support Our Communities

    We respect our communities and are committed to working together so they can thrive and make a meaningful difference in the world.