At a Glance
- Tasks: Transform data into actionable insights and build innovative solutions.
- Company: Join a well-established organisation with a growing Data & Analytics team.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with support for career development.
- Why this job: Make a real impact on business-critical projects and influence data usage.
- Qualifications: Degree in relevant field and strong skills in SQL, Python, and data science.
The predicted salary is between 40000 - 50000 € per year.
MCS Group is working with a well-established organisation in their search to hire a Data Scientist into a growing Data & Analytics function. This is a brilliant chance for an ambitious Data Science professional to work closely with senior stakeholders and play a key role in turning data into real business value. You'll partner with teams across the business to identify opportunities, build solutions, and deliver insights that support better decision-making and improved performance.
What You'll Be Doing
- Identify and prioritise opportunities where data can add value
- Translate business problems into data solutions
- Build, test and deploy models using a range of techniques (statistical, ML, AI)
- Work with engineering teams to source and prepare data
- Develop dashboards and reports where needed (e.g. Power BI)
- Monitor and improve models in production
- Support data governance and best practice across the organisation
What We're Looking For
- Degree in a relevant field (e.g. Data Science, Computer Science, Engineering)
- Strong experience in data science, analytics or machine learning roles
- Solid skills in SQL, Python and modern data platforms (e.g. Databricks)
- Experience building and deploying models in a production environment
- Comfortable working in an agile environment
- Strong communication skills with the ability to engage non-technical stakeholders
Why Apply?
- Work on meaningful, business-critical data projects
- Be part of a growing and well-supported data function
- Hybrid working with a Belfast base
- Opportunity to influence how data is used across the organisation
To speak in absolute confidence about this opportunity, please send an up-to-date CV via the link provided or contact Chris Busby, Associate Director - IT Recruitment, at MCS Group. Even if this position is not right for you, we may have others that are. Please visit MCS Group to view a wide selection of our current and exclusive roles. All conversations will be treated in the strictest of confidence.
Data Scientist JBLE1_NI in Belfast employer: MCS Group
MCS Group is an exceptional employer, offering Data Science professionals the chance to engage in impactful projects within a supportive and growing Data & Analytics function. With a hybrid working model based in Belfast, employees benefit from a collaborative work culture that encourages innovation and personal growth, while also having the opportunity to influence data-driven decision-making across the organisation.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist JBLE1_NI in Belfast
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, models, and dashboards. This is your chance to demonstrate how you turn data into actionable insights, just like you'll be doing in the role.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the business side of data. Be ready to discuss how you've tackled real-world problems and how you can add value to the team.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always on the lookout for passionate data professionals like you!
We think you need these skills to ace Data Scientist JBLE1_NI in Belfast
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the job description. Highlight your experience in data science, SQL, and Python, and don’t forget to mention any relevant projects that showcase your skills in building and deploying models.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you’re the perfect fit for this role. Share specific examples of how you've turned data into business value and how you’ve collaborated with stakeholders in the past.
Showcase Your Technical Skills:Don’t just list your technical skills; demonstrate them! If you’ve worked with tools like Databricks or Power BI, mention specific projects where you used these tools to deliver insights or build solutions.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and get you on our radar quickly!
How to prepare for a job interview at MCS Group
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially SQL and Python. Be ready to discuss your experience with building and deploying models, as well as any specific techniques you've used in the past. This will show that you're not just familiar with the concepts but can also apply them effectively.
✨Understand the Business Context
Before the interview, take some time to research the company and its industry. Think about how data can add value to their specific business problems. Being able to translate technical jargon into business insights will impress the interviewers and demonstrate your ability to engage with non-technical stakeholders.
✨Prepare for Practical Questions
Expect to face practical questions or case studies during the interview. Practice explaining your thought process when identifying opportunities for data solutions or building models. This will help you articulate your approach clearly and show your problem-solving skills in action.
✨Show Off Your Communication Skills
Since you'll be working closely with various teams, strong communication is key. Prepare examples of how you've successfully communicated complex data findings to non-technical audiences. This will highlight your ability to bridge the gap between data science and business needs.
