Data Scientist Lead- Python, ML & Gen AI in Glasgow

Data Scientist Lead- Python, ML & Gen AI in Glasgow

Glasgow Full-Time 63000 - 77000 £ / year (est.) On-site
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At a Glance

  • Tasks: Lead innovative data science projects using Python, ML, and Gen AI to solve real business challenges.
  • Company: Join J.P. Morgan, a global leader in financial services with a commitment to diversity and inclusion.
  • Benefits: Competitive salary, professional development, and a collaborative work environment.
  • Other info: Opportunity for career growth and mentorship in a fast-paced, innovative setting.
  • Why this job: Make an impact by developing cutting-edge AI solutions in a dynamic and supportive team.
  • Qualifications: Advanced degree in a relevant field and strong Python programming skills required.

The predicted salary is between 63000 - 77000 £ per year.

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Data Scientist within Corporate Sector in Governance and Controls Technology (GCT), you will design and deliver trusted, market-leading products in a secure, stable, and scalable way. You will work across multiple technical areas and business functions, partnering with your team to deliver solutions that matter to our customers and the firm. You help strengthen our engineering culture through ownership, continuous improvement, and inclusive collaboration.

Job responsibilities:

  • Collaborate with cross-functional teams to identify business requirements and develop data-driven solutions using AIML, Agentic/GenAI frameworks in a fast-paced environment.
  • Hands-on experience in working on LLMs and agentic frameworks, such as Langchain/LangGraph and similar technologies.
  • Developing AI/ML and Gen AI/Agentic AI solutions to address impactful business needs.
  • Hands-on experience in all machine learning techniques, supervised, unsupervised, and semi-supervised techniques.
  • Strong experience in natural language processing (NLP) and its applications.
  • Solid coding level in Python programming language, with experience in leveraging available libraries, like Tensorflow, Keras, Pytorch, Scikit-learn, or others, to dedicated projects.
  • Working with other team members to productionize end-to-end AI/ML solutions.
  • Engaging in research and development of innovative relevant solutions.
  • Coaching and mentoring other AI/ML team members towards both personal and professional success.
  • Collaborating with other teams across the firm to attain the mission and vision of the team and the firm.
  • Engaging with stakeholders and understanding business requirements.
  • Act as a self-starter, independently taking initiative in driving assignments to completion and solving problems without escalation.

Required qualifications, capabilities, and skills:

  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices.
  • Practical cloud native experience.
  • Advanced degree in Computer Science, Data Science, Mathematics, or a related field.
  • Applied experience in data science, machine learning, or related areas.
  • Strong programming skills in Python with experience in PySpark, Spark SQL, and manipulating data.
  • Experience LLM Orchestration and Agentic AI libraries.
  • Proficiency in using GenAI models (OpenAI or similar) to solve business problems.
  • Experience in building AI Agents, Agentic frameworks.
  • Experience in building and managing data lakes and data processing workflows using Databricks.
  • Ability to leverage AI agents and tools, such as Co-Pilot, to enhance productivity and code quality.
  • Excellent problem-solving skills and the ability to communicate ideas and results clearly to stakeholders.
  • Strong troubleshooting and problem-solving skills.
  • Fast learner with the ability to quickly develop Proof of Concepts and advance them to production.

Preferred qualifications, capabilities, and skills:

  • Understanding of AWS components.
  • Experience integrating AI/ML models into data pipelines is a plus.
  • Experience with version control (Git) and CI/CD pipelines.
  • Financial service background.

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 recognise 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, colour, 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.

Data Scientist Lead- Python, ML & Gen AI in Glasgow employer: JPMorgan Chase & Co.

JPMorgan Chase & Co. is an exceptional employer, offering a dynamic work environment in the heart of London’s International Private Bank. With a strong emphasis on professional development, employees benefit from comprehensive training programs and opportunities for career advancement, all while enjoying a collaborative culture that values teamwork and innovation. The role of Executive Assistant not only provides a chance to work closely with senior leaders but also allows for meaningful contributions to the success of the team in a prestigious financial institution.

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Contact Details:

JPMorgan Chase & Co. Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Scientist Lead- Python, ML & Gen AI in Glasgow

✨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 JPMorgan Chase & Co.!

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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 Data Scientist Lead- Python, ML & Gen AI at JPMorgan Chase & Co..

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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 JPMorgan Chase & Co..

✨Apply Directly through Our Website

When you find a suitable opening like Data Scientist Lead- Python, ML & Gen AI at JPMorgan Chase & Co., 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 Data Scientist Lead- Python, ML & Gen AI in Glasgow

Python Programming
Machine Learning Techniques
Natural Language Processing (NLP)
AIML Frameworks
Agentic AI Solutions
Langchain/LangGraph
Data Manipulation with PySpark

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 JPMorgan Chase & Co., 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 JPMorgan Chase & Co.. 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 JPMorgan Chase & Co.

✨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 JPMorgan Chase & Co.!

✨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.