At a Glance
- Tasks: Design and develop AI/ML solutions to tackle data management challenges.
- Company: Join J.P. Morgan, a global leader in financial services.
- Benefits: Collaborative environment with opportunities for growth and impactful projects.
- Other info: Diverse teams focused on innovation and transformation through AI.
- Why this job: Shape the future of data and AI while driving real change.
- Qualifications: Expertise in AI/ML, Python, and data manipulation required.
The predicted salary is between 80000 - 98000 £ per year.
hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. The experience expected from applicants, as well as additional skills and qualifications needed for this job are listed below.
Join us to shape the future of data, analytics, and AI at JPMorganChase. As part of our Applied AI ML team, you will have the opportunity to work in dynamic squads focused on impactful products and projects. You'll collaborate with diverse teams, accelerate your career, and help deliver solutions that enhance our data management and governance capabilities. We value your technical expertise, solution-oriented mindset, and passion for innovation. Your contributions will directly influence how we maximize the value of data globally.
As a Vice President, Applied AI ML Lead in the Firmwide Chief Data Office's Applied AI ML team, you will design and deliver AI solutions that advance our data governance and management capabilities. You will work closely with business lines, corporate functions, and engineering teams to identify opportunities and create impactful solutions. Your role will empower you to move between tribes and squads, leveraging your strengths and interests. You will help foster a collaborative, innovative culture focused on driving transformation through AI and machine learning.
Job Responsibilities:
- Design and develop AI/ML solutions for data management challenges
- Build prototypes to demonstrate value to stakeholders
- Collaborate with business lines and corporate functions to identify needs
- Partner with engineering and data science teams for solution delivery and integration
- Maintain comprehensive documentation of models, experiments, and processes
- Deliver written, visual, and oral presentations of modeling results to stakeholders
- Stay current with research in LLM, ML, and data science
- Identify and leverage emerging techniques to enhance solutions
Required Qualifications, Capabilities, and Skills:
- Formal training or certification in data and AI/ML concepts with expert applied experience
- Proven commercial experience developing in Python and manipulating large volumes of complex data using SQL
- Extensive experience as a data scientist, AI/ML engineer, or AI/ML researcher
- Demonstrated ability to solve complex problems with multiple constraints
- Ability to articulate business needs to technical leadership and technical issues to business leadership
- Proven ability to engage constructively and collaboratively with engineers, designers, and company leaders
Preferred Qualifications, Capabilities, and Skills:
- Experience using AI agents and copilots to enhance business processes or user experiences
- Experience with data management
The Firmwide Chief Data Office is dedicated to maximizing the value and impact of data globally, with a strong focus on governance. Our teams accelerate JPMorganChase's data, analytics, and AI journey through strategy, impact optimization, privacy, governance, transformation, and talent development.
Why Join Us? You will be part of a collaborative environment where your ideas and expertise drive real change. We offer opportunities to grow, move between teams, and work on projects that matter. Your work will help shape the future of data and AI at JPMorganChase.
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 first-class business in a first-class way 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 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.
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI ML Lead in Bristol
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like J.P. Morgan!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Applied AI ML Lead at J.P. Morgan.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like J.P. Morgan.
✨Apply Directly through Our Website
When you find a suitable opening like Applied AI ML Lead at J.P. Morgan, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Applied AI ML Lead in Bristol
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at J.P. Morgan, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at J.P. Morgan. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at J.P. Morgan
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at J.P. Morgan!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
