At a Glance
- Tasks: Analyse large datasets to enhance fraud detection models and optimise machine learning performance.
- Company: Join a leading firm in fraud prevention with a focus on innovation.
- Benefits: Fully remote work, competitive pay, and opportunities for professional growth.
- Other info: Collaborative team environment with potential for career advancement.
- Why this job: Make a real impact in fraud detection while working with cutting-edge technology.
- Qualifications: Experience as a Data Scientist, strong Python and SQL skills required.
The predicted salary is between 50000 - 65000 £ per year.
Contract: 6 months
Engagement: Inside IR35
Location: Fully remote, with occasional travel to the London office.
The Role
We're looking for an experienced Applied Data Scientist to help improve the performance of our production fraud detection models. Working within our Fraud Intelligence team, you'll analyse large-scale datasets, identify new behavioural signals and optimise machine learning models to improve fraud detection accuracy while reducing false positives. This is a highly practical role suited to someone who enjoys working with complex data and delivering measurable improvements to live production models. You'll work closely with Machine Learning Engineers and Product teams to continually enhance the intelligence powering our fraud prevention platform.
Responsibilities
- Analyse large-scale fraud and transaction datasets.
- Engineer new features to improve fraud detection performance.
- Optimise production machine learning models.
- Improve model performance against key metrics including F1 Score, Precision and Recall.
- Identify behavioural patterns associated with fraudulent activity.
- Analyse behavioural biometric and device intelligence data.
- Design and execute model evaluation experiments.
- Build Python-based analytical workflows.
- Write complex SQL against Azure Data Lake.
- Present recommendations based on statistical analysis.
- Work closely with Machine Learning Engineers to transition successful improvements into production.
Essential Skills
- Commercial experience as a Data Scientist or Applied Data Scientist.
- Strong Python and Pandas.
- Advanced SQL.
- Experience working with Azure Data Lake or similar cloud data platforms.
- Experience working with very large datasets.
- Strong feature engineering experience.
- Experience improving production classification models.
- Excellent understanding of F1 Score, Precision, Recall and model evaluation.
- Experience working with highly imbalanced datasets.
Desirable
- Fraud detection.
- Financial crime.
- Payments.
- Banking.
- Behavioural biometrics.
- Device intelligence.
- Transaction monitoring.
- Risk scoring.
Data Scientist in Slough employer: Xcede Recruitment
Join a leading global consumer fintech that values innovation and collaboration, offering a dynamic work environment in the heart of Central London. With a strong focus on employee growth, you will have the opportunity to lead impactful product initiatives while enjoying a competitive day rate and a hybrid working model. This company fosters a culture of experimentation and data-driven decision-making, making it an excellent employer for those looking to make a meaningful impact in the fintech space.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in Slough
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Xcede Recruitment before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Xcede Recruitment.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Xcede Recruitment.
We think you need these skills to ace Data Scientist in Slough
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Xcede Recruitment, 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 Xcede Recruitment, 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 Xcede Recruitment’s attention and show the tangible impact of your work.
How to prepare for a job interview at Xcede Recruitment
✨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 Xcede Recruitment.
✨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 Xcede Recruitment.
✨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 Xcede Recruitment.
