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- Tasks: Join a dynamic team as a Data Scientist, tackling real-world data challenges.
- Company: Work with a public sector client focused on impactful projects.
- Benefits: Enjoy flexible work arrangements and competitive pay rates.
- Why this job: Make a difference in the public sector while honing your data science skills.
- Qualifications: Experience in Python, SQL, AWS, and AI fields is essential.
- Other info: Active SC clearance is required for this role.
The predicted salary is between 108000 - 118080 £ per year.
Length: Data Scientist Location: Flexible, ad-hoc travel Length: 12-month engagement IR35 Status: Inside IR35 Pay Rate: £500 – £540 per day Clearance: SC ClearanceOne of my public sector clients are currently looking for a Data Scientist to join them on a flexible hybrid basis for 12 months. They are interested in Data Scientists with experience of working in an Agile environment amongst multi-disciplinary teams. Past experience of working within the public sector would be ideal. Ideal candidate will also hold active SC clearance. Essential Skills: Experience writing high quality production-grade Python code, using a range of libraries and frameworks: Pandas, numpy, scipy, scikit-learn, Tensorflow, PyTorch, OpenCV, Pydantic etc. Experience with Oracle database and/or PostgreSQL. Being able to understand and write SQL queries to extract and manipulate data from existing and new relational (SQL) data stores is a key requirement. Experience using AWS cloud technologies and ecosystem including: S3, lambda functions, AWSTextract, CodeCommit, Cloud9, SageMaker etc. Proven experience in a range of AI and data science fields: data wrangling, data visualisation, natural language processing, computer vision, deep learning, and statistical inference. Are you interested in this position? If so, then please respond with you…
Data Scientist employer: Lawrence Harvey
Contact Detail:
Lawrence Harvey Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Make sure to highlight your experience in Agile environments. Since the role involves working with multi-disciplinary teams, showcasing your ability to collaborate and adapt in such settings will set you apart.
✨Tip Number 2
If you have past experience in the public sector, be ready to discuss specific projects or challenges you've faced. This will demonstrate your understanding of the unique requirements and dynamics of public sector work.
✨Tip Number 3
Familiarize yourself with the specific Python libraries mentioned in the job description. Being able to discuss your hands-on experience with these tools will show that you're well-prepared for the technical demands of the role.
✨Tip Number 4
Since SC clearance is a requirement, if you already hold it, make sure to mention it early in your conversation. If not, be prepared to discuss your eligibility and any relevant security clearances you may have had in the past.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your experience in data science, particularly in an Agile environment. Mention any past roles in the public sector and how they relate to the job requirements.
Showcase Technical Skills: Clearly list your proficiency in Python and the specific libraries mentioned in the job description, such as Pandas, NumPy, and TensorFlow. Provide examples of projects where you utilized these skills.
Demonstrate Database Knowledge: Include details about your experience with Oracle and PostgreSQL databases. Highlight your ability to write SQL queries and how you've used them to manipulate data in previous roles.
Mention Cloud Experience: If you have experience with AWS technologies, be sure to mention it. Describe how you've used services like S3 or SageMaker in your projects to show your familiarity with cloud environments.
How to prepare for a job interview at Lawrence Harvey
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and the specific libraries mentioned in the job description. Bring examples of past projects where you utilized Pandas, NumPy, or TensorFlow, and be ready to explain your coding decisions.
✨Demonstrate Agile Experience
Since the role requires working in an Agile environment, share your experiences collaborating within multi-disciplinary teams. Highlight any specific Agile methodologies you've used and how they contributed to project success.
✨Discuss Your Public Sector Experience
If you have worked in the public sector before, make sure to mention it. Discuss the unique challenges you faced and how you overcame them, as this will show your understanding of the environment you'll be working in.
✨Prepare for Technical Questions
Expect technical questions related to SQL queries and AWS technologies. Brush up on your knowledge of Oracle and PostgreSQL, and be ready to explain how you've used AWS services like S3 or SageMaker in your previous roles.
