How your CV stacks up
Upload your CV to see how well it fits this job role
?%
About The Role
We are seeking a talented and analytical Data Scientist to join our team. The ideal candidate will leverage advanced analytics and machine learning techniques to extract meaningful insights from complex datasets and drive data-driven decision-making.
Requirements
- Analyze large datasets to uncover trends, patterns, and insights.
- Develop predictive models and machine learning algorithms to solve business problems.
- Collaborate with cross-functional teams to understand business needs and provide actionable insights.
- Design and implement experiments to test hypotheses and improve model performance.
- Clean, preprocess, and manipulate data for analysis and modeling.
- Communicate findings and insights to both technical and non-technical stakeholders.
- Stay current with industry trends and advancements in data science and machine learning.
- Work closely with data engineers to ensure data availability and quality.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
About The Company
Epic Taasforce (www.epictaasforce.com), a cutting-edge consultancy at the intersection of technology and talent, excels in dynamic solutions for consulting, training, and recruitment. This exclusive opportunity, curated in collaboration with our distinguished client, offers a gateway to advanced contributions and unparalleled success in the tech realm.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Apply Now
- Analyze large datasets to uncover trends, patterns, and insights.
- Develop predictive models and machine learning algorithms to solve business problems.
- Collaborate with cross-functional teams to understand business needs and provide actionable insights.
- Design and implement experiments to test hypotheses and improve model performance.
- Clean, preprocess, and manipulate data for analysis and modeling.
- Communicate findings and insights to both technical and non-technical stakeholders.
- Stay current with industry trends and advancements in data science and machine learning.
- Work closely with data engineers to ensure data availability and quality.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location