Data Scientist in Business Analytics
Poland
JPMorgan Chase & Co.
Be part of a dynamic team where your distinctive skills will contribute to a winning culture and team.
As a Data Scientist at JPMorgan Chase within the International Consumer Bank (namely, Chase UK), you serve as a seasoned member of an agile team to design and deliver trusted data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. You are responsible for developing, testing, and maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm’s business objectives.
Job responsibilities
- Collaborate with business partners, research teams and domain experts to understand business problems.
- Provide stakeholders with timely and accurate reporting.
- Perform ad hoc analysis based on diverse data sources to give decision-makers actionable insights about the performance of the products, customer behavior and market trends.
- Presents your findings in a clear, logical, and persuasive manner, illustrating them with effective visualizations.
- Collaborate with data engineers, machine learning engineers and dashboard developers to automate and optimize business processes.
- Identify unexplored opportunities to change how we do business using data.
Required qualifications, capabilities, and skills
- 3-5 years experience
- Experience across the data lifecycle
- Advanced SQL querying skills.
- Competent data analysis in Python.
- Experience in taking open ended business questions, then use big data and statistics to create analysis that can provide an answer to the questions at hand.
- Experience with customer analytics such as user behavioral analysis, survey analysis, etc.
- Demonstrated ability to think beyond raw data and to understand the underlying business context and sense business opportunities hidden in data.
- Ability to work in a dynamic, agile environment within a geographically distributed team.
- Excellent written and verbal communication skills in English.
Preferred qualifications, capabilities, and skills
- Distinctive problem-solving skills and impeccable business judgment.
- Familiarity with machine learning.
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture Big Data Business Analytics Data analysis Data pipelines Machine Learning Pipelines Python Research SQL Statistics Testing
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.