Overview
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.
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.
- 4 - 7 Yrs
- Pune
- Hyderabad, Telangana, India
- Hyderabad, Telangana, India
- Hyderabad, Telangana, India
- Hyderabad, Telangana, India
- Bangalore, Karnataka, India
- Bangalore, Karnataka, India
- Bangalore, Karnataka, India