National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Scientist Lead - Employee Platforms

JPMorgan Chase Bank, N.A.
London
4 days ago
Create job alert


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

Required qualifications, capabilities, and skills
* Bachelors or Masters in Computer Science or related field
* Strong programming skills in python and knowledge of software engineering best practices
* Strong knowledge of basic data science libraries in Python (NumPy, pandas, scikit-learn, pyspark)
* Strong knowledge of the main deep-learning frameworks such as PyTorch, TensorFlow, Keras
* Experience with Linux and shell scripting and experience with LaTeX
* Solid understanding of traditional data science techniques and experience with data engineer pipelines for big data
* Solid knowledge of RNNs, and LSTMs models

Preferred qualifications, capabilities, and skills
* Experience with cloud-native development and deployment- Knowledge of AWS cloud services is a plus.
* Familiarity with project lifecycle and version control practices.
* Experience with machine learning algorithms on graphs.
* Strong ability to collaborate in a diverse, global team 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 offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

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.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

Related Jobs

View all jobs

Data Scientist - eDV Cleared

Data Scientist

Data Scientist

Lead Data Scientist

Data Scientist

Data Scientist

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide – we refresh it every quarter so you always know who’s really scaling their artificial‑intelligence teams. Artificial intelligence hiring has roared back in 2025. The UK’s boosted National AI Strategy funding, record‑breaking private investment (£18.1 billion so far) & a fresh wave of generative‑AI product launches mean employers are jockeying for data scientists, ML engineers, MLOps specialists, AI product managers, prompt engineers & applied researchers. Below are 50 organisations that have advertised UK‑based AI vacancies in the past eight weeks or formally announced growth plans. They’re grouped into five easy‑scan categories so you can jump straight to the kind of employer – & culture – that suits you. For each company you’ll find: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, culture, mission) Use the internal links to browse current vacancies on ArtificialIntelligenceJobs.co.uk – or set up a free job alert so fresh roles land in your inbox.

Return-to-Work Pathways: Relaunch Your AI Career with Returnships, Flexible & Hybrid Roles

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.