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- Tasks: Use AI/ML to tackle real-world challenges and enhance product capabilities.
- Company: Join JPMorgan Chase, a leader in risk management and compliance.
- Benefits: Competitive salary, health benefits, and opportunities for continuous learning.
- Why this job: Make a real impact with cutting-edge AI solutions in a collaborative environment.
- Qualifications: Degree in a technical field and experience with AI/ML models.
- Other info: Dynamic team culture focused on innovation and career growth.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Bring your expertise to JPMorgan Chase. As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about challenging the status quo and striving to be best in class.
As a Data Scientist Associate in our Data Science team, you will explore, pilot, and implement transformative AI solutions—including GenAI—in collaboration with Product, Engineering, and Lines of Business. In this pivotal role, you’ll join a team that values experimentation, delivery, and continuous learning, where your ideas are encouraged and operational excellence is a shared goal. You will leverage your expertise in data and advanced analytics to develop robust tools and solutions using the latest AI/ML techniques, cloud technologies, data mesh architectures, and enterprise knowledge bases. Together, we design scalable, high-quality internal solutions that integrate seamlessly into business operations, driving adoption and effective model management. By collaborating with business units, technology partners, and stakeholders, we enable our AI/ML solutions to deliver real business value and become embedded into our workflows for lasting impact.
Job responsibilities
- Apply AI/ML techniques—including LLMs, Generative AI, NLP, and coding assistants—to solve business problems and enhance product capabilities.
- Collaborate with product, business, and cross-functional teams to define project goals, requirements, and plans, participating in stakeholder-facing communications as needed and assist in designing experiments, implementing algorithms, validating results, and productionizing trustworthy, explainable AI/ML solutions.
- Deliver projects using Agile/sprint methodologies, translating business requirements into technical specifications, and supporting milestone achievement.
- Write secure, high-quality production code, review and debug code, and contribute to documentation of code repositories and technical challenges.
- Integrate advanced analytics models and applications into operational workflows to facilitate business value and adoption.
- Implement robust drift monitoring and model retraining processes to maintain accuracy and performance (ongoing performance monitoring).
Required qualifications, capabilities and skills
- Bachelor’s or Master’s degree in engineering, computer science, statistics, mathematics or a related technical or quantitative field.
- Proven track record of deploying AI, ML, and advanced analytics models in a large-scale enterprise environment.
- Hands-on experience with AI/ML algorithms, statistical modeling, and scalable data processing pipelines.
- Proficiency with machine learning frameworks such as Tensorflow, Pytorch, Scikit-Learn, and agentic workflows and frameworks such as LangChain, LangGraph, and Auto-GPT.
- Ability to convey technical concepts and results to both technical and business audiences.
- Scientific mindset with a proven ability to innovate and work both independently and collaboratively within a team.
- Ability to thrive in a matrixed environment and build effective partnerships with colleagues at various levels and across multiple locations.
Risk Management - Data Scientist Associate in Bournemouth employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Risk Management - Data Scientist Associate in Bournemouth
✨Tip Number 1
Network like a pro! Reach out to current employees at JPMorgan Chase on LinkedIn or through mutual connections. A friendly chat can give you insider info and might even lead to a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your AI/ML knowledge. Be ready to discuss how you've applied these techniques in real-world scenarios. We want to see your problem-solving skills in action!
✨Tip Number 3
Showcase your projects! Bring examples of your work that demonstrate your expertise in data science and AI solutions. This is your chance to shine and show how you can add value to the team.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're serious about joining the team at JPMorgan Chase.
We think you need these skills to ace Risk Management - Data Scientist Associate in Bournemouth
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Data Scientist Associate role. Highlight your expertise in AI/ML techniques and any relevant projects you've worked on. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about risk management and how your background makes you a great fit for this position. Don’t forget to mention your collaborative spirit and innovative mindset, as these are key to our culture.
Showcase Your Projects: If you've worked on any AI/ML projects, make sure to include them in your application. We love seeing real-world applications of your skills, so share the challenges you faced and how you overcame them. This will help us understand your problem-solving abilities!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details you need about the role and our company culture there!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your AI/ML Stuff
Make sure you brush up on your knowledge of AI and ML techniques, especially those mentioned in the job description like LLMs and Generative AI. Be ready to discuss how you've applied these technologies in past projects and how they can solve real business problems.
✨Showcase Your Collaboration Skills
Since this role involves working with cross-functional teams, prepare examples that highlight your ability to collaborate effectively. Think about times when you’ve worked with product managers or engineers to achieve a common goal and be ready to share those stories.
✨Demonstrate Your Problem-Solving Mindset
Be prepared to discuss specific challenges you've faced in deploying AI/ML models and how you overcame them. This will show your scientific mindset and ability to innovate, which are key for this role.
✨Practice Explaining Technical Concepts
You’ll need to convey complex technical ideas to both technical and non-technical audiences. Practice explaining your past projects in simple terms, focusing on the impact and value they brought to the business.
