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- Tasks: Work on exciting projects using Machine Learning and AI to drive data insights.
- Company: Join a leading global financial firm known for innovation and excellence.
- Benefits: Enjoy a hybrid work model with competitive pay and flexible arrangements.
- Why this job: Be part of a dynamic team making a real impact in the finance sector.
- Qualifications: Experience in Data Science or Engineering, with a focus on ML or AI required.
- Other info: Contract role for 6 months, starting ASAP with a daily rate of £550.
The predicted salary is between 66000 - 88000 £ per year.
Contract: Data Scientist / Data Engineer
Start: ASAP
Duration: 6 months
Rate: £550 a day (Deemed Inside IR35 via an Umbrella solution)
Location: Hybrid with 3 days per week in Moorgate
Reference: 19148
Immediate contract for an experienced Data Scientist or Data Engineer with a strong background in Machine Learning (ML) or Artificial Intelligence (AI) to work on a project within a global Financial institution.
Data Scientist / Data Engineer employer: Networking People (UK) Limited
Contact Detail:
Networking People (UK) Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist / Data Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in Machine Learning and Artificial Intelligence, especially those relevant to the financial sector. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Network with professionals in the data science and engineering fields, particularly those who work in finance. Attend industry meetups or webinars to make connections that could lead to referrals or insider information about the role.
✨Tip Number 3
Prepare to discuss specific projects you've worked on that showcase your skills in ML or AI. Be ready to explain your thought process, the challenges you faced, and how you overcame them, as this will highlight your problem-solving abilities.
✨Tip Number 4
Research StudySmarter's values and mission, and think about how your experience aligns with them. Being able to articulate this connection during your discussions can set you apart from other candidates.
We think you need these skills to ace Data Scientist / Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Machine Learning and Artificial Intelligence. Use specific examples of projects you've worked on that demonstrate your skills relevant to the Data Scientist/Data Engineer role.
Craft a Compelling Cover Letter: Write a cover letter that explains why you're interested in this contract position. Mention your relevant experience and how it aligns with the company's needs, particularly in the financial sector.
Showcase Technical Skills: In your application, clearly list your technical skills related to data science and engineering. Include programming languages, tools, and frameworks you are proficient in, especially those relevant to ML and AI.
Highlight Hybrid Work Experience: Since the role is hybrid, mention any previous experience you have working in a hybrid environment. Discuss how you effectively manage your time and communication in such settings.
How to prepare for a job interview at Networking People (UK) Limited
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Machine Learning and Artificial Intelligence in detail. Bring examples of projects you've worked on, and be ready to explain the methodologies you used and the outcomes achieved.
✨Understand the Financial Sector
Since the role is within a global financial institution, it's crucial to demonstrate your understanding of how data science and engineering apply to finance. Brush up on relevant financial concepts and be ready to discuss how your skills can add value to their projects.
✨Prepare for Problem-Solving Questions
Expect to face technical problem-solving questions during the interview. Practice coding challenges or case studies related to data analysis and machine learning to showcase your analytical thinking and problem-solving abilities.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready about the team, the project, or the company culture. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
