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- Tasks: Design and develop AI models to combat financial crime and enhance compliance.
- Company: Join Napier, a cutting-edge tech firm revolutionising financial safety.
- Benefits: Enjoy comprehensive healthcare, generous leave, and flexible work options.
- Other info: Collaborative culture with exciting growth opportunities in our Belfast Tech Hub.
- Why this job: Make a real difference by using AI to protect people's money.
- Qualifications: 5+ years in Python/Go with strong data science and machine learning skills.
The predicted salary is between 50000 - 70000 £ per year.
Imagine catching criminals before they strike—that’s exactly what Napier’s AI-powered platform does! By analysing transactions and customers in real time, Napier AI’s technology empowers financial institutions to spot suspicious activity, like money laundering, and stops it in its tracks. Napier AI’s technology works like a digital detective, combining AI with smart analytics to outthink criminals and protect people’s money from becoming criminal proceeds. It’s not just about stopping crime—it’s about making the financial world safer and more trustworthy for everyone.
Collaboration, innovation and wonderful people are just some of the reasons to bring your career to Napier. Our culture is shaped by our core values that promote equality, creativity, and opportunity in everything we do. After successfully securing PI investment to fuel our ongoing growth and to further invest in our AI products, we are currently building out our Tech Hub in Belfast - this is a super exciting time to join Napier in Belfast as we expand.
The Role:
You will already be an experienced data scientist, with a STEM background who has created novel AI solutions to complex problems. You will have experience in Python development / prototyping including pandas, numpy, sklearn, tensorflow, pytorch, pyspark and you will have engaged with clients to understand their data and requirements. In addition, you will have an in-depth understanding of Machine learning (supervised and unsupervised learning, classification, clustering) and explainability techniques.
Working with the Chief Data Scientist, data science team, other teams within Napier and Clients, you will install and tune existing AML models and develop new ones (supervised and unsupervised) to solve emerging problems in the anti-money laundering landscape. Collaborating with clients, you will help them to improve efficiencies in their compliance processes, reduce false positives and false negatives in their risk identification processes by analysing their data and highlighting risks from automated analysis. You will also build prototypes aimed at ingesting clients’ data and running machine learning models. You will actively work with product and development teams to continuously build Napier’s platform.
Your day to day:
- Design, develop and deploy machine learning models to address complex challenges in the AML/financial crime space
- Install, configure and optimise existing AML models, ensuring strong performance and accuracy
- Build new models and approaches to tackle emerging risks and evolving regulatory requirements
- Work closely with clients to understand their data, challenges and compliance requirements
- Analyse client datasets to identify risk patterns, reduce false positives/negatives and improve detection outcomes
- Develop data science prototypes to ingest client data and run machine learning models
- Collaborate with the Chief Data Scientist and wider data science team to advance modelling capabilities
- Partner with product and engineering teams to continuously enhance Napier’s platform and data capabilities
- Apply machine learning techniques including classification, clustering and anomaly detection
- Ensure models are interpretable and leverage explainability techniques to support client and regulatory understanding
- Use Python and relevant libraries (e.g. pandas, numpy, scikit-learn, TensorFlow, PyTorch, PySpark) for development and experimentation
- Contribute to innovation by creating novel AI-driven solutions to complex data problems
Do you have what it takes?
- Python/Go experience (at least 5 years)
- Understanding of the statistical underpinnings of data science
- Experience in data analytics, manipulation, and transformation (e.g. pandas, pyspark. Etc.)
- Develop machine learning algorithms (supervised, unsupervised, clustering, etc.) to score data to identify patterns within an IDE
- Ability to produce production ready code deployed in containers (docker) in collaboration with a team
- Experience with PostGreSQL and efficient computation
- Experience in one or more of: time series modelling, graph knowledge base models, named entity recognition, RAG
- Ability to express complex ideas to a non-data audience
- Knowledge and experience in Go would be very beneficial
Why Napier?
- Comprehensive private healthcare through AXA covering optical, audio & dental.
- 25 days of annual leave + bank holidays, your birthday and a wellness day
- Dedicated pension plan through Aviva
- Life Insurance 4x your annual salary
- Enhanced Maternity & Paternity leave
- Income protections policy
- Work from anywhere for up to 1 month
- Access to our employee wellbeing programme.
- Gym membership discounts.
- Flexibility in work schedules and locations, ensuring a work-life balance. This role can be fulfilled either with a hybrid approach or fully in-office – depending on your preference.
- An open and flexible culture that allows you to work in the best way for you.
Please note applicants must have the right to work in the United Kingdom. We are unable to offer sponsorship or take over sponsorship of employment visas at this time.
Data Scientist in Belfast employer: Napier AI
Contact Detail:
Napier AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in Belfast
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current Napier employees on LinkedIn. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving machine learning and AI. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice explaining complex concepts in simple terms—this is key when working with clients who may not have a data background.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people at Napier. Plus, it shows you’re genuinely interested in joining our team!
We think you need these skills to ace Data Scientist in Belfast
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role at Napier. Highlight your experience with Python and machine learning, and don’t forget to mention any relevant projects that showcase your skills in tackling complex problems.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about working at Napier and how your background aligns with our mission to make the financial world safer. Be genuine and let your personality come through.
Showcase Your Technical Skills: When filling out your application, be sure to highlight your technical skills, especially in Python and data manipulation libraries like pandas and numpy. Mention any experience with machine learning models and how you've used them to solve real-world problems.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Napier AI
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and the libraries mentioned in the job description, like pandas, numpy, and TensorFlow. Brush up on your machine learning concepts, especially supervised and unsupervised learning, as you'll likely be asked to explain these during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex data problems. Think about how you’ve developed novel AI solutions or improved existing models, especially in the context of anti-money laundering or financial crime.
✨Understand the Client Perspective
Since collaboration with clients is key, be ready to talk about how you’ve engaged with clients in the past. Highlight your ability to understand their data needs and how you’ve helped them improve compliance processes or reduce false positives.
✨Demonstrate Your Team Spirit
Napier values collaboration, so be prepared to discuss how you work within a team. Share experiences where you’ve partnered with product or engineering teams to enhance platform capabilities, and emphasise your willingness to contribute to a positive team culture.