At a Glance
- Tasks: Lead innovative AI/ML projects and collaborate with cross-functional teams to deliver impactful solutions.
- Company: Join a forward-thinking corporate sector focused on governance and technology.
- Benefits: Competitive salary, remote work options, and opportunities for professional growth.
- Other info: Dynamic environment with mentorship opportunities and career advancement.
- Why this job: Make a real difference in the tech world while pushing the boundaries of AI and machine learning.
- Qualifications: Strong Python skills and experience with AI/ML frameworks 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/Gen AI frameworks in a fast-paced environment.
- Hands on experience in working on LLMs and agentic frameworks, such as Langchain/Lang Graph 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 Py Spark, Spark SQL, and manipulating data.
- Experience LLM Orchestration and Agentic AI libraries
- Proficiency in using Gen AI models (Open AI 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 component.
- Experience integrating AI/ML models into data pipelines is a plus.
- Experience with version control (Git) and CI/CD pipelines.
- Financial service background
Data Scientist Lead- Python, ML & Gen AI in Scotland employer: JP Morgan Chase
Morgan is an exceptional employer, offering a dynamic work culture that prioritises diversity and inclusion while fostering employee growth through comprehensive coaching and development opportunities. As a global leader in financial services, we empower our teams to drive impactful product management and AI enablement, ensuring that every employee can contribute meaningfully to our clients' success in a collaborative environment located at the heart of the financial sector.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist Lead- Python, ML & Gen AI in Scotland
✨Get Involved in Data Science Meetups
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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 JP Morgan Chase.
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We think you need these skills to ace Data Scientist Lead- Python, ML & Gen AI in Scotland
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 JP Morgan Chase, 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 JP Morgan Chase. 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 JP Morgan Chase
✨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 JP Morgan Chase!
✨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.
