At a Glance
- Tasks: Lead the bank's data science strategy and develop innovative machine learning solutions.
- Company: Join an international bank with a focus on cutting-edge technology.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on continuous improvement and innovation.
- Why this job: Make a real impact in banking by leveraging AI and data science.
- Qualifications: Strong skills in Python, SQL, and machine learning techniques required.
The predicted salary is between 63000 - 77000 £ per year.
Excellent opportunity opens to join an International Bank as their new Senior Data Scientist.
You will play a leading role in the execution of the Bank's data science strategy, and work to roll out and deliver the bank-wide data and AI roadmap.
Key Responsibilities
- Developing, testing, deploying, and maintaining machine learning and statistical models in production environments.
- Building scalable data science solutions using Python and SQL.
- Applying software engineering best practices, including version control (Git), code reviews, testing, and documentation.
- Using MLOps practices to support model deployment, monitoring, governance, and continuous improvement.
- Working with large and complex datasets
- Evaluating emerging technologies and analytical techniques to identify opportunities for innovation and business value.
- Ensuring models and analytical solutions meet regulatory, governance, and risk management standards within a financial services environment.
- Contribute to backlog refinement and sprint planning, stand-ups and retrospectives
- Reinforce Agile ways of working, using pair programming, DORA insights and best practices to help to foster an environment of continuous improvement within the team
Qualifications & Experience
- Strong practical knowledge of statistics, mathematics, and machine learning techniques, with experience developing, validating, deploying, and monitoring predictive and analytical models in production environments.
- Advanced Python and SQL skills, with experience using tools such as Jupyter/Jupyter Hub to conduct data exploration, develop machine learning solutions, and support production workflows.
- Hands-on experience applying machine learning techniques using frameworks such as XGBoost, Py Torch, or similar technologies to solve complex business problems and deliver measurable value.
- Experience translating business requirements into actionable analytical solutions, working closely with stakeholders to identify opportunities, define approaches, and deliver data-driven outcomes.
- Strong communication skills, with the ability to explain complex technical concepts and analytical findings to both technical and non-technical audiences.
- Experience working with modern data platforms, software engineering best practices, and data science tooling to develop scalable and maintainable analytical solutions.
- Experience with Large Language Models (LLMs), Generative AI, Retrieval-Augmented Generation (RAG), or other emerging AI technologies is advantageous.
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Senior Data Scientist - ML Engineer - Python - GenAI - Banking employer: Rothstein Recruitment
Rothstein Recruitment is an exceptional employer, offering a dynamic work environment in the heart of London where innovation and collaboration thrive. Employees benefit from a strong focus on professional development, with ample opportunities for growth within the investment sector, alongside a supportive culture that values client relationships and strategic thinking. Joining our team means being part of a prestigious firm that prioritises excellence and rewards dedication in managing UHNW client portfolios.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist - ML Engineer - Python - GenAI - Banking
✨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 Rothstein Recruitment!
✨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 Senior Data Scientist - ML Engineer - Python - GenAI - Banking at Rothstein Recruitment.
✨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 Rothstein Recruitment.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Scientist - ML Engineer - Python - GenAI - Banking at Rothstein Recruitment, 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 Senior Data Scientist - ML Engineer - Python - GenAI - Banking
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 Rothstein Recruitment, 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 Rothstein Recruitment. 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 Rothstein Recruitment
✨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 Rothstein Recruitment!
✨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.
