Contract Data Scientist - ML Model Engineer (London)
Contract Data Scientist - ML Model Engineer (London)

Contract Data Scientist - ML Model Engineer (London)

London Full-Time 36000 - 60000 £ / year (est.) No home office possible
Go Premium
A

At a Glance

  • Tasks: Develop and implement machine learning models to tackle complex business challenges.
  • Company: Tech-focused company in Greater London with a passion for innovation.
  • Benefits: Full-time role with opportunities for professional growth and innovation.
  • Why this job: Join a dynamic team and make a real impact in the data science field.
  • Qualifications: Proficiency in Python and a degree in a related field; advanced degrees preferred.
  • Other info: Exciting environment with continuous learning and development opportunities.

The predicted salary is between 36000 - 60000 £ per year.

A tech-focused company in Greater London is seeking a Data Scientist to develop and implement machine learning models that solve complex business problems. The successful candidate will analyze large data sets and continuously improve model performance.

Required skills include proficiency in Python and a Bachelor's degree in a related field. A Master's or Ph.D. is preferred.

This full-time position offers opportunities for driving innovation in the field of data science.

Contract Data Scientist - ML Model Engineer (London) employer: American IT Systems

Join a dynamic tech-focused company in Greater London, where innovation thrives and your contributions as a Contract Data Scientist will directly impact business solutions. With a collaborative work culture that prioritises professional growth, you'll have access to cutting-edge resources and opportunities to enhance your skills in machine learning. Enjoy the unique advantage of working in a vibrant city known for its tech scene, fostering both personal and career development.
A

Contact Detail:

American IT Systems Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Contract Data Scientist - ML Model Engineer (London)

✨Tip Number 1

Network like a pro! Reach out to professionals in the data science field on LinkedIn or at local meetups. We can’t stress enough how valuable personal connections can be in landing that dream job.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your machine learning projects. We recommend including links to GitHub repos or any relevant work that highlights your Python proficiency and problem-solving abilities.

✨Tip Number 3

Prepare for interviews by brushing up on common data science questions and case studies. We suggest practising with friends or using mock interview platforms to build confidence and refine your answers.

✨Tip Number 4

Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates. Let’s get you that job!

We think you need these skills to ace Contract Data Scientist - ML Model Engineer (London)

Machine Learning
Python
Data Analysis
Model Development
Statistical Analysis
Problem-Solving Skills
Innovation
Bachelor's Degree in a Related Field
Master's or Ph.D. (Preferred)
Performance Improvement

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with machine learning and Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data science and how you can contribute to our team. Keep it engaging and personal – we love to see your personality come through.

Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex problems using data. We’re looking for innovative thinkers, so share any unique approaches or solutions you’ve developed in your previous roles.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts!

How to prepare for a job interview at American IT Systems

✨Know Your Models

Make sure you brush up on the machine learning models you've worked with. Be ready to discuss how you've implemented them in past projects and the impact they had. This shows your practical experience and understanding of model performance.

✨Python Proficiency is Key

Since proficiency in Python is a must, be prepared to demonstrate your coding skills. You might be asked to solve a problem on the spot or explain your thought process while coding. Practising common data manipulation tasks can really help you shine.

✨Data Analysis Skills Matter

Be ready to talk about your experience with analysing large data sets. Have examples ready that showcase your analytical skills and how you've used data to drive decisions. This will highlight your ability to tackle complex business problems.

✨Show Your Passion for Innovation

This role is all about driving innovation, so share your thoughts on the latest trends in data science and machine learning. Discuss any personal projects or research you've done that demonstrates your enthusiasm for the field. It’s a great way to stand out!

Contract Data Scientist - ML Model Engineer (London)
American IT Systems
Location: London
Go Premium

Land your dream job quicker with Premium

You’re marked as a top applicant with our partner companies
Individual CV and cover letter feedback including tailoring to specific job roles
Be among the first applications for new jobs with our AI application
1:1 support and career advice from our career coaches
Go Premium

Money-back if you don't land a job in 6-months

A
  • Contract Data Scientist - ML Model Engineer (London)

    London
    Full-Time
    36000 - 60000 £ / year (est.)
  • A

    American IT Systems

    50-100
Similar positions in other companies
UK’s top job board for Gen Z
discover-jobs-cta
Discover now
>