At a Glance
- Tasks: Join us as a Data Scientist Consultant, transforming and analysing datasets daily.
- Company: KPMG Ireland is a leading global professional services firm with a strong reputation.
- Benefits: Enjoy flexible working options and access to corporate perks like training and development.
- Why this job: Be part of a dynamic team making impactful decisions through data analysis and machine learning.
- Qualifications: Experience with data cleaning, tools like Python and R, and knowledge of machine learning concepts required.
- Other info: Opportunity to work in Belfast with a focus on innovative data solutions.
The predicted salary is between 36000 - 60000 £ per year.
Skills Required
When it comes to data analysis, the ideal candidate should have experience in cleaning and transforming datasets for analysis. They should also be familiar with a range of tools including:
- Alteryx
- DataRobot
- SAS
- Databricks
- SPSS
- R
- Python
- Scala
- Java
- Spark
In addition, exposure to data visualization platforms such as Tableau or Power BI would be beneficial. A solid understanding of machine learning concepts is also important for this role.
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Data Scientist Consultant in Belfast - KPMG Ireland employer: WorksHub
Contact Detail:
WorksHub Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist Consultant in Belfast - KPMG Ireland
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as Alteryx and DataRobot. Consider taking online courses or tutorials to enhance your skills in these areas, as practical knowledge can set you apart from other candidates.
✨Tip Number 2
Showcase your experience with data cleaning and transformation by preparing a portfolio of projects. Highlight how you tackled real-world data issues and the impact of your solutions, as this demonstrates your hands-on expertise.
✨Tip Number 3
Engage with the data science community through platforms like LinkedIn or local meetups in Belfast. Networking can provide valuable insights into the industry and may even lead to referrals for the position at KPMG.
✨Tip Number 4
Brush up on your machine learning concepts and be prepared to discuss them during interviews. Understanding the latest trends and applications in machine learning will show your commitment to staying current in the field.
We think you need these skills to ace Data Scientist Consultant in Belfast - KPMG Ireland
Some tips for your application 🫡
Highlight Relevant Skills: Make sure to emphasise your experience with data cleaning and transformation. Clearly list the tools you are proficient in, such as Alteryx, DataRobot, SAS, and others mentioned in the job description.
Showcase Your Projects: Include specific examples of projects where you've used machine learning concepts or data visualisation platforms like Tableau or Power BI. This will demonstrate your practical experience and problem-solving skills.
Tailor Your CV: Customise your CV to align with the job requirements. Use keywords from the job description to ensure your application stands out to recruiters and applicant tracking systems.
Craft a Compelling Cover Letter: Write a cover letter that not only summarises your qualifications but also expresses your enthusiasm for the role at KPMG Ireland. Mention why you are interested in working specifically in Belfast and how you can contribute to their team.
How to prepare for a job interview at WorksHub
✨Showcase Your Technical Skills
Be prepared to discuss your experience with the specific tools mentioned in the job description, such as Alteryx, Python, and R. Bring examples of projects where you've used these tools to clean and transform datasets.
✨Demonstrate Your Understanding of Machine Learning
Since a solid understanding of machine learning concepts is crucial for this role, be ready to explain key concepts and perhaps even discuss a project where you applied machine learning techniques.
✨Prepare for Data Visualisation Questions
Familiarise yourself with data visualisation platforms like Tableau or Power BI. Be ready to discuss how you have used these tools to present data insights effectively in past roles.
✨Ask Insightful Questions
Prepare thoughtful questions about KPMG's approach to data science and how they leverage data analysis in their consulting services. This shows your genuine interest in the role and the company.