Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join our team to model complex problems and develop innovative AI products.
- Company: JPMorgan Chase & Co. is a leading global financial services firm with over 200 years of history.
- Benefits: Enjoy competitive benefits, career development opportunities, and a diverse work environment.
- Why this job: Be part of a global tech team tackling significant challenges that impact people worldwide.
- Qualifications: Bachelor’s degree in Data Science or related fields; experience in data science and machine learning required.
- Other info: We value diversity and inclusion, offering a supportive environment for all employees.
The predicted salary is between 43200 - 72000 ÂŁ per year.
JPMorgan Chase & Co. is a leading global financial services firm with over 200 years of history, excelling in investment banking, consumer and small business financial services, commercial banking, financial transaction processing, and asset management. Our Corporate and Investment Bank Strategic Support Team AI Operations is committed to revolutionizing our support systems using AI, Machine Learning, and Large Language Models. We are looking for a Data Scientist to join us in applying advanced analytics and business insights to elevate our technology solutions.
The Corporate Investment Bank SST AI Ops team is dedicated to transforming how we support and manage our environment by harnessing cutting-edge technologies such as AI, ML, and LLM. Our mission is to tackle open-ended challenges by aligning state-of-the-art AI solutions with enterprise-scale demands. We develop software systems, AI models, technological processes, and intelligent frameworks that mitigate technology risks, enhance operational efficiency, and optimize investment efficacy. We are currently seeking a Data Scientist to join our team, tasked with integrating advanced analytical and quantitative techniques with business acumen to enhance our technology solutions portfolio.
Role Overview:
As a Data Scientist within the Corporate and Investment Banking Securities Services Technology Artificial Intelligence Operations team, you will model complex problems, uncover insights, manipulate terabytes of data, and develop innovative hybrid AI products that address high-impact, large-scale challenges. You will engage in statistical modeling, machine learning, visualization, and storytelling to enhance the operational value of our technological portfolio. Collaborating with software engineers, product managers, and problem owners, you will refine our data analytics tools and proactively address enterprise and Corporate and Investment Banking Security Service issues. Effective communication with both technology and business stakeholders is essential.
Job Qualifications:
- Bachelor’s degree in Data Science, Computer Science, or Computer Engineering.
- Experience in roles such as Data Scientist, Machine Learning Engineer, Software Engineer, or related fields.Experience with MLOps practices for managing the lifecycle of machine learning models, including LLMs. Experience with prompt engineering and parameter-efficient fine-tuning techniques.
- Expertisewith machine learning frameworks and libraries, particularly those that support LLMs (e.g., Hugging Face Transformers, TensorFlow, PyTorch). Understanding of natural language processing (NLP) techniques and concepts, such as tokenization, embeddings, and sequence modeling.Familiarity with pre-trained language models (e.g., GPT, BERT) and techniques for fine-tuning them for specific tasks.
- Proficient inprogramming languages such asPython (Java is a plus),Knowledge of database management and SQL.
- Ability to develop and maintain production-ready code, ensuring high quality through unit testing and code reviews.
- Experience with cloud and infrastructure deployment using Cloud Foundry Services, AWS Cloud Services, or Microsoft Azure services.
- Strong communication and storytelling skills to effectively influence non-technical audiences.
At JPMorgan Chase & Co., we value the unique skills of every employee and are committed to building a technology organization that thrives on diversity. We believe that diverse experiences, perspectives, and backgrounds contribute to a better environment for our employees and a superior product for our users and creators. We encourage professional growth and career development, offering competitive benefits and compensation. If you’re eager to advance your career as part of a global technology team tackling significant challenges that impact people and companies worldwide, we want to meet you.
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 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. Visit ourFAQs for more information about requesting an accommodation.
About the Team
J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
The Royal Veterinary College, University of London
Birmingham, Liverpool, Newport (Gwent), Norwich
#J-18808-Ljbffr
Data Scientist - Senior Associate employer: HM Revenue and Customs
Contact Detail:
HM Revenue and Customs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Senior Associate
✨Tip Number 1
Familiarise yourself with the latest advancements in AI and machine learning, especially those relevant to financial services. Understanding how these technologies are being applied in the banking sector will help you speak confidently about your insights during interviews.
✨Tip Number 2
Network with professionals in the data science and financial services fields. Attend industry conferences, webinars, or local meetups to connect with people who work at JPMorgan Chase & Co. This can provide you with insider knowledge and potentially a referral.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully implemented machine learning models or AI solutions. Be ready to explain your thought process, the challenges you faced, and how you overcame them, as this will demonstrate your problem-solving skills.
✨Tip Number 4
Brush up on your communication skills, particularly in translating complex technical concepts into layman's terms. Since effective communication with non-technical stakeholders is crucial for this role, practice explaining your past projects to friends or family who aren't in tech.
We think you need these skills to ace Data Scientist - Senior Associate
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, machine learning, and AI. Use keywords from the job description to demonstrate that you meet the qualifications and have the necessary skills.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about the role and how your background aligns with JPMorgan Chase & Co.'s mission. Mention specific projects or experiences that showcase your expertise in advanced analytics and AI.
Showcase Technical Skills: Clearly outline your proficiency in programming languages like Python and any experience with machine learning frameworks. Include examples of how you've applied these skills in previous roles, particularly in MLOps and NLP.
Highlight Communication Abilities: Since effective communication is essential for this role, provide examples of how you've successfully communicated complex technical concepts to non-technical stakeholders. This could be through presentations, reports, or collaborative projects.
How to prepare for a job interview at HM Revenue and Customs
✨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning frameworks and libraries, especially those relevant to large language models like Hugging Face Transformers or TensorFlow. Bring examples of projects where you've applied these skills, as practical demonstrations can significantly impress the interviewers.
✨Communicate Effectively
Since effective communication with both technical and non-technical stakeholders is crucial, practice explaining complex concepts in simple terms. Use storytelling techniques to illustrate how your data-driven insights have led to impactful decisions in previous roles.
✨Understand the Business Context
Familiarise yourself with JPMorgan Chase & Co.'s business model and how data science fits into their operations. Be ready to discuss how your analytical skills can enhance their technology solutions and address specific challenges faced by the Corporate and Investment Banking sector.
✨Prepare for Problem-Solving Questions
Expect to tackle open-ended problems during the interview. Brush up on your statistical modelling and machine learning techniques, and be ready to walk through your thought process when approaching a complex data challenge. This will demonstrate your analytical thinking and problem-solving abilities.
