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- Tasks: Develop advanced statistical and machine learning models in the financial sector.
- Company: Join a global leader in data and AI, supporting major industries like banking and healthcare.
- Benefits: Enjoy hybrid work options and continuous investment in your professional development.
- Why this job: Be part of a cutting-edge team that values innovation and personal growth.
- Qualifications: Expertise in Python, NLP, OCR, and experience with cloud platforms required.
- Other info: Interviews are ongoing, so don't miss your chance to advance your career!
The predicted salary is between 48000 - 72000 £ per year.
Company Overview:
My client is a trusted partner for major clients across a range of data and AI driven industries such as banking, insurance, health-care, retail, and more! With a global presence spanning continents and tens of thousands of professionals, there is no better place to grow and advance your career. Due to their commitment and motivation to stay at the top of their industry, there is constant investment in research and development to stay ahead of trends by working with, and developing their own, cutting-edge technology. My client believes their success stems from the calibre of people they employ and will do everything to support you and your development.
Role Overview:
As a Data Scientist you will be hands on in developing advanced statistical and machine learning models within the financial sector. Python is obviously a pre-requisite for this role, with experience required in processing and model development. You will develop end-to-end models and use a combination of NLP and OCR-based extraction techniques.
In addition to the technical expertise you will bring and develop, this is a consultant role and you will be working with key stakeholders in large financial institutions, good communication is essential.
Requirements:
- Python Expertise
- Supervised and Unsupervised Learning
- NLP and OCR Experience
- Exposure to Modern Cloud Platforms (e.g. Databricks, AWS)
- Ability to Communicate Technical Concepts
Nice to Have:
- Financial Services Experience
Interviews ongoing don't miss your chance to secure the future of your career!
Data Scientist - £80,000 - Hybrid - London employer: Tenth Revolution Group
Contact Detail:
Tenth Revolution Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - £80,000 - Hybrid - London
✨Tip Number 1
Familiarise yourself with the latest trends in data science, especially in financial services. Understanding how your skills can be applied in banking and insurance will help you stand out during discussions with potential employers.
✨Tip Number 2
Network with professionals in the industry through platforms like LinkedIn. Engaging with data science communities and attending relevant meetups can provide insights and connections that may lead to job opportunities.
✨Tip Number 3
Prepare to discuss your experience with Python and machine learning models in detail. Be ready to share specific examples of projects you've worked on, particularly those involving NLP and OCR techniques, as these are crucial for the role.
✨Tip Number 4
Practice your communication skills, as this role requires explaining complex technical concepts to stakeholders. Consider mock interviews or presentations to refine your ability to convey information clearly and effectively.
We think you need these skills to ace Data Scientist - £80,000 - Hybrid - London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, machine learning, and any relevant projects. Emphasise your skills in NLP and OCR, as well as your exposure to cloud platforms like Databricks or AWS.
Craft a Compelling Cover Letter: In your cover letter, explain why you're interested in the Data Scientist role and how your background aligns with the company's focus on data and AI. Mention your ability to communicate technical concepts effectively, as this is crucial for the role.
Showcase Relevant Projects: If you have worked on projects that involved supervised and unsupervised learning, be sure to include them in your application. Describe your role, the technologies used, and the outcomes achieved to demonstrate your hands-on experience.
Highlight Soft Skills: Since this is a consultant role, it's important to showcase your communication skills. Provide examples of how you've successfully collaborated with stakeholders or presented complex data insights in an understandable way.
How to prepare for a job interview at Tenth Revolution Group
✨Showcase Your Python Skills
Since Python expertise is a prerequisite for this role, be prepared to discuss your experience with it in detail. Bring examples of projects where you've used Python for data processing and model development, and be ready to solve a coding challenge during the interview.
✨Demonstrate Your Knowledge of Machine Learning
Familiarise yourself with both supervised and unsupervised learning techniques. Be ready to explain how you have applied these methods in past projects, and discuss specific algorithms you are comfortable with, such as Random Forest or Gradient Boosting.
✨Communicate Effectively
As this role involves working with key stakeholders, strong communication skills are essential. Practice explaining complex technical concepts in simple terms, and prepare to discuss how you would approach collaborating with non-technical team members.
✨Prepare for Cloud Platform Questions
Since exposure to modern cloud platforms like Databricks and AWS is required, brush up on your knowledge of these tools. Be ready to discuss how you've used them in previous roles, and consider any challenges you faced while working with cloud technologies.