Intelligent Automation - Data Scientist - Associate

Posted 4 Days Ago
Bengaluru, Karnataka
Hybrid
Entry level
Financial Services
We’re one of the world’s biggest technology-driven companies
The Role
As an Associate Data Scientist, you will analyze complex datasets, develop predictive models, collaborate with cross-functional teams, and generate data visualizations to support business decision-making. Your responsibilities will include data cleaning, testing hypotheses, and applying new data science techniques.
Summary Generated by Built In

Job Description
Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? This is a unique opportunity for you to work in the Data Science team to partner with the Business.
As an Associate Data Scientist within our cross-functional team, you will be responsible for analyzing complex datasets, developing predictive models, and generating actionable insights. Collaborating closely with data engineers, product managers, and business analysts, you will support data-promoten decision-making and innovation. Your role will be crucial in creating solutions that utilize our big data, enhance our capabilities, and contribute to the success of our organization.
Job responsibilities:

  • Analyze large and complex datasets to identify trends, patterns, and insights that drive business decisions.
  • Develop and implement predictive models and machine learning algorithms to solve business problems.
  • Create clear and compelling data visualizations to communicate findings and insights to stakeholders.
  • Work collaboratively with cross-functional teams to understand business needs and translate them into data science solutions.
  • Clean, preprocess, and transform data to ensure quality and accuracy for analysis and modeling.
  • Design and conduct experiments to test hypotheses and validate models.
  • Update latest developments in data science and machine learning, and apply new techniques and tools as appropriate.


Required qualifications, capabilities and skills:

  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field; a Master's degree
  • Programming skills in Python or R or a similar language.
  • Understanding data analysis and statistical modeling techniques.
  • Proficiency with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
  • Familiarity in data visualization tools such as Power BI, or Matplotlib.
  • Strong problem-solving skills and attention to detail.
  • Excellent communication skills, with the ability to convey complex data insights to non-technical stakeholders.
  • Experience with SQL and database management
  • Ability to work effectively in a fast-paced, collaborative environment.


About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
About the Team
J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.

Top Skills

Python
R
The Company
HQ: New York, NY
289,097 Employees
Hybrid Workplace
Year Founded: 1799

What We Do

JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands.

Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products.

Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com.

©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.

Why Work With Us

Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.

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Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Flexible
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