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- Tasks: Design and optimise machine learning models for exciting AI projects.
- Company: Join a forward-thinking company at the forefront of AI innovation.
- Benefits: Competitive daily rate, travel opportunities, and a dynamic work environment.
- Why this job: Make an impact in AI while travelling to Europe monthly.
- Qualifications: 12+ years experience in data science and strong Python skills required.
- Other info: Collaborative culture with opportunities for professional growth.
The predicted salary is between 72000 - 108000 £ per year.
We need someone who doesn’t need a visa to travel to Europe.
Rate: 450-500 Per day inside IR35.
Duration: Initially 6 months.
Experience: 12+ years of experience mandatory.
Travel: Travel to Europe once a month (European country).
Required Skills & Qualifications
- Classic Machine Learning (Regression, Predictive Analysis, Classification, Clustering).
Responsibilities
- Design, develop, and optimize machine learning and deep learning models.
- Work on AI/ML projects including NLP, computer vision, recommendation systems, and generative AI.
- Perform data cleaning, feature engineering, and exploratory data analysis (EDA).
- Build and manage data pipelines and model training workflows.
- Deploy models into production and monitor performance.
- Collaborate with Product, Engineering, and Business teams to translate business problems into AI solutions.
- Conduct model evaluation, A/B testing, and performance tuning.
- Document models, experiments, and technical processes.
Technical Proficiencies
- Strong proficiency in Python (NumPy, Pandas, Scikit-learn).
- Hands-on experience with Deep Learning frameworks: TensorFlow, PyTorch, or Keras.
- Experience in Natural Language Processing (NLP) and/or Computer Vision.
- Strong knowledge of Machine Learning algorithms and statistics.
- Experience with SQL/NoSQL databases and big data tools (Spark, Hadoop preferred).
- Experience with MLOps tools such as Docker, Kubernetes, CI/CD pipelines.
Preferred Skills
- Experience with LLMs / Generative AI (OpenAI, Hugging Face, LangChain).
- Cloud experience (AWS, Azure, or GCP).
- Experience building AI APIs and microservices.
Education
- Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field. (PhD preferred for advanced research roles)
Soft Skills
- Strong problem-solving and analytical thinking.
- Excellent communication and storytelling skills.
- Ability to work in fast-paced, cross-functional teams.
Data Scientist employer: Avensys Consulting UK
Contact Detail:
Avensys Consulting UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field and let them know you're on the hunt. You never know who might have a lead on that perfect role or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those involving NLP or computer vision. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with Python, deep learning frameworks, and how you've tackled real-world problems using AI solutions.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are passionate about data science. Plus, it gives us a chance to see your enthusiasm right from the start!
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with machine learning, AI projects, and any relevant tools you've used. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data science and how your background makes you a perfect fit for our team. Keep it engaging and personal.
Showcase Your Projects: If you've worked on interesting projects, especially in AI/ML, make sure to mention them! We love seeing real-world applications of your skills, so include links or descriptions of your work.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it helps us keep everything organised!
How to prepare for a job interview at Avensys Consulting UK
✨Know Your Stuff
Make sure you brush up on your machine learning algorithms and frameworks like TensorFlow and PyTorch. Be ready to discuss your past projects in detail, especially those involving NLP or computer vision, as these are key areas for the role.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex data problems. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your analytical thinking and problem-solving abilities.
✨Communicate Clearly
Since collaboration is crucial, practice explaining your technical work in simple terms. You might be asked to translate complex AI solutions into business language, so being able to tell a compelling story about your work will set you apart.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company’s projects and goals. Inquire about their current AI initiatives or how they measure the success of their models to demonstrate your enthusiasm and engagement.
