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- Tasks: Develop advanced data-driven solutions using machine learning techniques.
- Company: Join an industry-leading technology company at the forefront of innovation.
- Benefits: Earn up to £450 per day with hybrid work options and a rolling contract.
- Why this job: Work on complex projects in a high-performing team that values your expertise.
- Qualifications: Experience with ML techniques, Python, and cloud platforms like AWS or Azure required.
- Other info: This is a contract role outside IR35, perfect for those seeking flexibility.
The predicted salary is between 90000 - 135000 £ per year.
Contract role: Data Scientist : Up to £450 per day Outside IR35: 6 months rolling : Hybrid – Weekly
An industry-leading technology company is looking for an experienced Data Scientist to play a pivotal role in developing advanced data-driven solutions, leveraging machine learning techniques to support business objectives and customer requirements.
As a Data Scientist, you will bring expertise in developing and implementing machine learning models, and bridging the gap between data science and data engineering where necessary.
As a Data Scientist, you will be experienced with:
- ML techniques – linear regression, XGBoost, ensemble methods
- Python
- ETL pipelines
- AWS, Azure, or GCP
- SHAP or LIME tool familiarity
Key information:
- Up to £450 per day Outside IR35
- 6 months (rolling)
- Hybrid Weekly – Manchester
This is an exciting opportunity for a Data Scientist to work on complex solutions and development within a high-performing team.
Contract role: Data Scientist : Up to £450 per day Outside IR35: 6 months rolling : Hybrid – Weekly
*Unfortunately, due to the high volume of applications, not all submissions will receive feedback.
Locations
Data Scientist employer: Formula Recruitment
Contact Detail:
Formula Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarise yourself with the specific machine learning techniques mentioned in the job description, such as linear regression and XGBoost. Being able to discuss these methods confidently during an interview will demonstrate your expertise and readiness for the role.
✨Tip Number 2
Make sure you have hands-on experience with Python, as it's a key requirement for this position. Consider working on personal projects or contributing to open-source projects that showcase your Python skills and ability to implement machine learning models.
✨Tip Number 3
Brush up on your knowledge of ETL pipelines, as they are crucial for data preparation in data science. You could create a small project that involves building an ETL pipeline to solidify your understanding and provide a practical example to discuss in interviews.
✨Tip Number 4
If you have experience with cloud platforms like AWS, Azure, or GCP, be prepared to discuss specific projects where you've utilised these tools. Highlighting your familiarity with these platforms can set you apart from other candidates.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with machine learning techniques, Python, and any relevant ETL pipelines. Use specific examples to demonstrate your expertise in these areas.
Craft a Strong Cover Letter: In your cover letter, explain why you are interested in this Data Scientist role and how your skills align with the company's needs. Mention your familiarity with tools like SHAP or LIME, and your experience with cloud platforms such as AWS, Azure, or GCP.
Showcase Relevant Projects: If you have worked on projects that involved developing machine learning models or bridging data science and engineering, be sure to include these in your application. Highlight the impact of your work on business objectives.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a Data Scientist role.
How to prepare for a job interview at Formula Recruitment
✨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning techniques like linear regression and XGBoost. Bring examples of projects where you've successfully implemented these models, as this will demonstrate your expertise and problem-solving abilities.
✨Familiarise Yourself with ETL Processes
Since the role involves bridging data science and engineering, be ready to talk about your experience with ETL pipelines. Highlight any specific tools or frameworks you've used, and how they contributed to your data-driven solutions.
✨Discuss Cloud Experience
The job mentions AWS, Azure, or GCP, so make sure you can discuss your experience with these platforms. Be prepared to explain how you've utilised cloud services in your previous roles to enhance data processing and model deployment.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills. Think about challenges you've faced in past projects and how you overcame them, particularly in relation to machine learning and data engineering.
