At a Glance
- Tasks: Design and deploy cutting-edge AI solutions to tackle real-world business challenges.
- Company: Join a diverse team at a leading tech firm in Belfast.
- Benefits: Enjoy health insurance, bonuses, enhanced pension, and hybrid work options.
- Other info: Collaborative culture with opportunities for continuous learning and innovation.
- Why this job: Shape the future of AI while making a tangible impact in a flexible environment.
- Qualifications: 3 years' experience in Data Science, Machine Learning, or AI Engineering.
The predicted salary is between 70000 - 90000 £ per year.
Our client is looking for a Data Scientist with strong experience in Natural Language Processing (NLP), Large Language Models (LLMs) and Machine Learning to build-out their Data Science Platform. They have a strong, diverse team in Belfast. The Data Scientist will play a key role in helping them achieve strategic goals. This is an opportunity to join a greenfield environment where you'll design and deploy production-grade machine learning models, generative AI solutions and intelligent business applications that enhance customer experience, improve operational efficiency and deliver measurable business value.
Working across Data Science, AI Engineering and MLOps, you'll develop scalable AI solutions, collaborate with business stakeholders and play a key role in shaping their AI strategy.
Data Scientist Responsibilities:- Design, develop and deploy machine learning models and AI solutions to solve complex business challenges.
- Build production-ready AI applications including intelligent assistants, chatbots, copilots and workflow automation tools.
- Develop and optimise NLP, Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) solutions.
- Build scalable data pipelines and collaborate with engineering teams to prepare data for AI and machine learning initiatives.
- Deploy, monitor and maintain models using modern MLOps practices, ensuring reliability, scalability and continuous improvement.
- Integrate AI services with enterprise applications through APIs and cloud-native architectures.
- Partner with technical and business stakeholders to identify opportunities where AI can improve customer outcomes and business performance.
- Lead proof-of-concept initiatives, evaluate emerging AI technologies and promote innovation across the organisation.
- 3 years' commercial experience in Data Science, Machine Learning or AI Engineering (with demonstrated expertise across entire ML lifecycle) e.g. preprocessing to production deployment and monitoring.
- Proven experience developing and deploying machine learning models into production.
- Experience delivering Generative AI applications, LLM-based solutions or intelligent automation platforms.
- Hands-on experience with AWS cloud services, MLOps and modern software development practices.
- Experience in highly-regulated environment (Fintech/Insurtech/Prof Services) is advantageous but not essential.
- Python
- SQL
- AWS
- Machine Learning
- Deep Learning
- NLP
- Large Language Models (LLMs)
- Generative AI
- Retrieval-Augmented Generation (RAG)
- LangChain / LangGraph / LlamaIndex / Semantic Kernel
- OpenAI / Anthropic / Amazon Bedrock / Azure OpenAI
- Scikit-learn
- TensorFlow
- PyTorch
- Pandas
- FastAPI / Flask
- REST APIs
- Vector Databases
- Docker
- Kubernetes
- Git
- CI/CD
- MLOps
- Data Pipelines
- ETL
- Model Deployment & Monitoring
- AI Governance & Observability
- Passion for AI, Machine Learning and emerging technologies.
- Strong analytical and problem-solving skills with a pragmatic, delivery-focused mindset.
- Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
- Collaborative team player who enjoys working across engineering, product and business functions.
- Curious, innovative and motivated to continually learn and apply new AI technologies.
This is an opportunity to shape an enterprise AI capability from the ground up, working with cutting-edge technologies to solve real business problems. They offer the chance to work on new AI initiatives with the autonomy to experiment, influence technical direction and make a tangible business impact, all within a flexible and collaborative working environment.
Location: Belfast Hybrid / Flexible
If you have strong commercial experience in Data Science / ML, click APPLY to send your application to Dan.
Skills: Data Science, Machine Learning, NLP, LLMBenefits: Health Insurance, Bonus, Enhanced Pension, Hybrid
Data Scientist (AI & ML) - NEW in Belfast employer: Adepta Partners Limited
Join a dynamic and innovative team as a Senior Software Engineer, where you'll not only contribute to cutting-edge software development but also enjoy the flexibility of remote working. Our supportive and collaborative engineering culture fosters continuous learning and professional growth, with generous benefits including competitive salary, annual leave, and a dedicated training budget. Embrace the opportunity to work with the latest AI technologies while mentoring fellow developers and shaping the future of our technology platform.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist (AI & ML) - NEW in Belfast
✨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 Adepta Partners Limited!
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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 Data Scientist (AI & ML) - NEW at Adepta Partners Limited.
✨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 Adepta Partners Limited.
✨Apply Directly through Our Website
When you find a suitable opening like Data Scientist (AI & ML) - NEW at Adepta Partners Limited, 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 Data Scientist (AI & ML) - NEW in Belfast
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 Adepta Partners Limited, 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 Adepta Partners Limited. 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 Adepta Partners Limited
✨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 Adepta Partners Limited!
✨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.
