Data Science Developer

Data Science Developer

St Albans Temporary 36000 - 60000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Join a dynamic team to develop AI and ML solutions that drive innovation.
  • Company: QSR is at the forefront of AI technology, pushing boundaries in data science.
  • Benefits: Enjoy a hybrid work model with competitive pay and potential for growth.
  • Why this job: Be part of a cutting-edge project that makes a real impact in the tech world.
  • Qualifications: Experience in AI/ML development is essential; passion for innovation is a must.
  • Other info: Contract length is initially 6 months, with a start date in August 2025.

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

Location: Hybrid Hertfordshire (preferred) or London

Start Date: August 2025

Contract Length: 6 Months Initially (TBC)

Rate: Competitive DOE, inside IR35

Are you passionate about pushing the boundaries of AI and Machine Learning? QSR have an exciting opportunity available for an experienced AI/ML Specialist to join a cutting-edge project, driving innovation through Large Language Models.

Data Science Developer employer: Queen Square Recruitment Limited

At QSR, we pride ourselves on being an excellent employer, offering a dynamic work culture that fosters innovation and collaboration in the field of AI and Machine Learning. Our hybrid working model allows for flexibility, while our commitment to employee growth ensures that you will have access to continuous learning opportunities and career advancement. Join us in Hertfordshire or London, where you can be part of a forward-thinking team dedicated to pushing the boundaries of technology.
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Contact Detail:

Queen Square Recruitment Limited Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Science Developer

✨Tip Number 1

Familiarise yourself with the latest trends in AI and Machine Learning. Follow industry leaders on social media and engage with their content to stay updated and show your passion during interviews.

✨Tip Number 2

Build a portfolio showcasing your projects related to AI/ML. Include any relevant case studies or contributions to open-source projects, as this will demonstrate your hands-on experience and problem-solving skills.

✨Tip Number 3

Network with professionals in the field by attending meetups, webinars, or conferences focused on AI and Machine Learning. This can help you make valuable connections and learn about job opportunities before they are advertised.

✨Tip Number 4

Prepare for technical interviews by practising coding challenges and algorithm questions specific to data science. Use platforms like LeetCode or HackerRank to sharpen your skills and boost your confidence.

We think you need these skills to ace Data Science Developer

Proficiency in Python and R
Experience with machine learning frameworks (e.g., TensorFlow, PyTorch)
Strong understanding of statistical analysis and data modelling
Knowledge of AI algorithms and techniques
Data visualisation skills using tools like Tableau or Matplotlib
Experience with big data technologies (e.g., Hadoop, Spark)
Familiarity with SQL and database management
Ability to work with unstructured data
Problem-solving and critical thinking skills
Collaboration and teamwork abilities
Strong communication skills for presenting findings
Adaptability to new technologies and methodologies
Experience in deploying machine learning models
Understanding of cloud platforms (e.g., AWS, Azure)

Some tips for your application 🫡

Understand the Role: Take time to thoroughly read the job description for the Data Science Developer position. Familiarise yourself with the specific skills and experiences required, especially in AI and Machine Learning.

Tailor Your CV: Customise your CV to highlight relevant experience in AI/ML projects. Use keywords from the job description to ensure your application stands out to recruiters.

Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and Machine Learning. Mention specific projects or achievements that demonstrate your expertise and how they align with the company's goals.

Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism.

How to prepare for a job interview at Queen Square Recruitment Limited

✨Showcase Your AI/ML Knowledge

Make sure to brush up on the latest trends and technologies in AI and Machine Learning. Be prepared to discuss specific projects you've worked on, the algorithms you used, and the outcomes achieved.

✨Prepare for Technical Questions

Expect technical questions that assess your problem-solving skills and understanding of data science concepts. Practise coding challenges and be ready to explain your thought process clearly.

✨Demonstrate Your Passion

Let your enthusiasm for AI and Machine Learning shine through. Share what excites you about the field and how you stay updated with new developments. This can set you apart from other candidates.

✨Ask Insightful Questions

Prepare thoughtful questions about the company's projects and future direction in AI/ML. This shows your genuine interest in the role and helps you gauge if the company aligns with your career goals.

Data Science Developer
Queen Square Recruitment Limited
Location: St Albans
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