Data Scientist Lead - Employee Platforms | London, UK

JPMorgan Chase & Co.; London; On-site; GBP 80,000 - 120,000; Full time

Job summary

Join a leading financial services firm as a Data Scientist Lead in Employee Platforms, where you will innovate with AI and Data Science to enhance client experiences. Collaborate with a dynamic team to develop cutting-edge solutions in a cloud-native environment, impacting service delivery and technological advancements. Your role will involve end-to-end software development, ensuring our Employee Compute services remain industry-leading.

Qualifications

• Experience with deep learning frameworks such as PyTorch, TensorFlow, Keras.
• Solid understanding of traditional data science techniques.

Responsibilities

• Develop and deploy machine learning models and generative AI capabilities.
• Collaborate with cross-functional teams to achieve common goals.

Skills

Python

Analytical Skills

Education

Bachelor's or Master's degree in Computer Science

Tools

NumPy

pandas

scikit-learn

PySpark

PyTorch

TensorFlow

Keras

Job description

Data Scientist Lead - Employee Platforms

Job Description

Revolutionize the future of Employee Platforms with cutting-edge AI and Data Science! Join a dynamic team dedicated to creating innovative, cloud-centric solutions that transform client experiences and drive industry-leading advancements.

As a Data Scientist Lead in Employee Platforms, you will collaborate with a team of innovators to develop AI/ML solutions. Your work will directly impact our ability to provide exceptional service to clients by delivering cutting-edge technology solutions. You will engage in end-to-end software development, from design to deployment, in a fast-paced, cloud-native environment that values continuous learning and innovation. Your contributions will help keep our Employee Compute services at the forefront of the industry.

Job responsibilities

1. Develop and deploy machine learning models and generative AI capabilities.
2. Design, code, test, and debug applications.
3. Collaborate with cross-functional teams to achieve common goals.
4. Keep stakeholders informed on development progress and benefits.
5. Manage project lifecycle and software development deliverables.
6. Solve complex problems and handle ambiguity with strong analytical skills.

Required qualifications, capabilities, and skills

1. Bachelors or Masters in Computer Science or related field.
2. Strong programming skills in Python and knowledge of software engineering best practices.
3. Knowledge of data science libraries in Python (NumPy, pandas, scikit-learn, pyspark).
4. Experience with deep-learning frameworks such as PyTorch, TensorFlow, Keras.
5. Experience with Linux, shell scripting, and familiarity with LaTeX.
6. Understanding of traditional data science techniques and experience with big data pipelines.
7. Knowledge of RNNs and LSTMs models.

Preferred qualifications, capabilities, and skills

1. Experience with cloud-native development and deployment; knowledge of AWS services is a plus.
2. Familiarity with project lifecycle management and version control practices.
3. Experience with machine learning algorithms on graphs.
4. Ability to collaborate effectively in a diverse, global team environment.

About Us

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals, and institutional investors. Our approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.

We value diversity and inclusion, recognizing that our people are our strength. We are an equal opportunity employer and do not discriminate based on race, religion, gender, or other protected attributes. We also accommodate religious practices and disability needs. For more information, visit our FAQs about requesting accommodations.

About the Team

Our Corporate Functions team covers areas such as finance, risk, human resources, and marketing. They are essential in setting our businesses, clients, and employees up for success.

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