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- Tasks: Design and develop advanced AI solutions using machine learning and deep learning.
- Company: Join a forward-thinking company at the forefront of AI innovation.
- Benefits: Competitive salary, travel opportunities, and a chance to work with cutting-edge technology.
- Why this job: Make an impact by solving real-world problems with data-driven AI solutions.
- Qualifications: Strong Python skills and experience in machine learning and AI projects.
- Other info: Dynamic role with opportunities for growth and collaboration across teams.
The predicted salary is between 36000 - 60000 £ per year.
Duration: Initially 6 months
Location: Waterside, UK & once a month travel to Europe
We are seeking a highly skilled Data Scientist – AI to design, develop, and deploy advanced machine learning and artificial intelligence solutions. The ideal candidate will work on large datasets, build predictive models, and collaborate cross-functionally to deliver scalable, data-driven products.
Key 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.
Required Skills & Qualifications
- Classic Machine learning (Regression, predictive Analysis, Classification, Clustering)
- Machine learning Model Optimisation
- 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 in London employer: Avensys Consulting
Contact Detail:
Avensys Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving machine learning and AI. This is your chance to demonstrate what you can do beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and practising common data science questions. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Scientist in London
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 like Python or TensorFlow. 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 you can contribute to our team. Be specific about your experiences and how they relate to the job description.
Showcase Your Projects: If you've worked on any cool projects, especially those involving NLP or computer vision, make sure to mention them! We love seeing practical applications of your skills, so don’t hold back on sharing your achievements.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Avensys Consulting
✨Know Your Tech Inside Out
Make sure you brush up on your technical skills, especially in Python and machine learning frameworks like TensorFlow or PyTorch. Be ready to discuss your experience with specific algorithms and how you've applied them in past projects.
✨Showcase Your Projects
Prepare to talk about your previous work with AI/ML projects. Bring examples of predictive models you've built or data pipelines you've managed. This will help demonstrate your hands-on experience and problem-solving abilities.
✨Understand the Business Context
Research the company and its products. Think about how your skills can solve their specific business problems. Being able to connect your technical expertise to real-world applications will impress the interviewers.
✨Practice Communication Skills
Since collaboration is key in this role, practice explaining complex concepts in simple terms. Prepare to discuss how you've worked with cross-functional teams and how you can effectively communicate your findings and solutions.
