At a Glance
- Tasks: Use data analytics and AI to tackle complex business challenges.
- Company: Leading global consulting firm with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and make a real impact with cutting-edge technology.
- Qualifications: 1-2 years of experience in data science and programming skills in Python or R.
- Other info: Embrace lifelong learning in a collaborative environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading global consulting firm is seeking a Data Scientist at Consultant level in Belfast. The role involves using data analytics and AI solutions to solve complex business problems, working collaboratively in a hybrid model.
Candidates should have 1-2 years’ experience in scalability and technical delivery, with programming skills in Python or R. Strong familiarity with data wrangling, machine learning, and cloud platforms is essential. A commitment to lifelong learning and innovation are key aspects of this role.
Hybrid Data Scientist Consultant — AI & Analytics in Belfast employer: KPMG International Limited
Contact Detail:
KPMG International Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Data Scientist Consultant — AI & Analytics in Belfast
✨Tip Number 1
Network like a pro! Reach out to current employees at the firm on LinkedIn. A friendly chat can give us insights into the company culture and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data analytics projects, especially those involving Python or R. This will help us demonstrate our technical delivery capabilities during interviews.
✨Tip Number 3
Stay updated on AI trends! Follow industry news and be ready to discuss how recent advancements can solve business problems. This shows our commitment to lifelong learning and innovation.
✨Tip Number 4
Apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can tailor our submission to highlight our relevant experience in scalability and cloud platforms.
We think you need these skills to ace Hybrid Data Scientist Consultant — AI & Analytics in Belfast
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your programming skills in Python or R right from the start. We want to see how your experience with data wrangling and machine learning can help us tackle complex business problems.
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the Data Scientist role. We love seeing candidates who understand what we’re looking for.
Share Your Learning Journey: Since a commitment to lifelong learning is key for us, don’t hesitate to mention any courses, certifications, or projects that showcase your dedication to innovation and growth in the field of AI and analytics.
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 this exciting opportunity in Belfast!
How to prepare for a job interview at KPMG International Limited
✨Know Your Tech Inside Out
Make sure you brush up on your programming skills in Python or R. Be ready to discuss specific projects where you've used these languages, especially in data wrangling and machine learning. The more you can demonstrate your technical prowess, the better!
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex business problems using data analytics and AI solutions. Think about the challenges you faced, the approach you took, and the results you achieved. This will show your potential employer that you can think critically and innovate.
✨Familiarise Yourself with Cloud Platforms
Since familiarity with cloud platforms is essential for this role, make sure you know the basics of the platforms you've worked with. Be ready to discuss how you've leveraged these tools in your previous roles to enhance scalability and technical delivery.
✨Emphasise Lifelong Learning
This role values a commitment to lifelong learning, so be prepared to talk about any recent courses, certifications, or self-study you've undertaken. Highlight your passion for staying updated with the latest trends in AI and analytics, as this will resonate well with the interviewers.