At a Glance
- Tasks: Support innovative transaction monitoring initiatives using machine learning in business banking.
- Company: Join a leading analytics centre of excellence in Glasgow or Edinburgh.
- Benefits: Flexible onsite work, competitive pay, and opportunities for professional growth.
- Other info: Exciting chance to learn and grow in the financial services sector.
- Why this job: Make a real impact on financial crime prevention with cutting-edge technology.
- Qualifications: Strong Python skills, machine learning knowledge, and experience with large datasets.
The predicted salary is between 45000 - 55000 £ per year.
Location - Glasgow, (Edinburgh is also fine)
Duration - 6 months
Onsite Requirements - 2-3 days onsite
The Analytics Centre of Excellence is looking for experienced ML Engineers to support a new initiative focused on Transaction Monitoring (TM) for Business Banking. A similar machine learning-driven transaction monitoring capability is already underway within Retail Banking, and the team is now expanding these capabilities into the Business Banking space.
Required Skills
- Strong Python programming skills, including data analysis using libraries such as Pandas
- Strong understanding of Machine Learning, including both supervised and unsupervised techniques
- Experience with tree-based and boosting algorithms such as XGBoost, LightGBM, and related approaches
- Experience working with large-scale datasets, ideally using PySpark
- Strong analytical and SQL skills for handling, querying, and interpreting complex datasets
- Ability to communicate insights effectively through visualisations using tools such as Matplotlib, Plotly, or similar
Nice to Have
- Exposure to model interpretability techniques such as SHAP and LIME
- Previous experience within the Banking / Financial Services sector
- Familiarity with Financial Crime, AML, Compliance, or Transaction Monitoring domains
What We're Looking For
Candidates with a strong data science and machine learning background who are keen to apply their skills to real-world financial crime and transaction monitoring challenges. While prior domain experience is beneficial, strong technical capability and a willingness to learn the business context are most important.
Data Science / ML Engineer in Glasgow employer: TXP Technology x People Careers
TXP is an excellent employer for EPOS Engineers, offering competitive pay and a supportive work culture that values teamwork and professional growth. With opportunities for overtime and travel allowances, employees can enjoy a rewarding experience while working on diverse projects across the UK. The company fosters a dynamic environment where engineers can enhance their skills and advance their careers in the IT sector.
Contact Details:
TXP Technology x People Careers Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Science / ML Engineer in Glasgow
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We think you need these skills to ace Data Science / ML Engineer in Glasgow
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at TXP Technology x People Careers, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to TXP Technology x People Careers, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab TXP Technology x People Careers’s attention and show the tangible impact of your work.
How to prepare for a job interview at TXP Technology x People Careers
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at TXP Technology x People Careers.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at TXP Technology x People Careers.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at TXP Technology x People Careers.
