Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and develop advanced AI solutions using machine learning and deep learning techniques.
- Company: Join a forward-thinking company at the forefront of AI innovation.
- Benefits: Competitive pay, 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 Slough employer: Avensys Consulting
Contact Detail:
Avensys Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in Slough
✨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 technical questions and case studies related to data science. Practice explaining your thought process clearly, as communication is key in cross-functional teams.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented Data Scientists, and applying directly can give you a better chance of getting noticed.
We think you need these skills to ace Data Scientist in Slough
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 sure to mention specific projects or experiences that relate to the job description.
Showcase Your Projects: If you've worked on any cool data science projects, make sure to include them in your application. Whether it's a personal project or something from your previous job, we love seeing practical examples of your skills in action!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you'll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative!
How to prepare for a job interview at Avensys Consulting
✨Know Your Tech Inside Out
Make sure you’re well-versed in the key technologies mentioned in the job description, like Python, TensorFlow, and SQL. Brush up on your machine learning algorithms and be ready to discuss how you've applied them in past projects.
✨Showcase Your Projects
Prepare to talk about specific projects where you've designed and deployed AI solutions. Highlight your role in data cleaning, feature engineering, and model optimisation. Use clear examples to demonstrate your impact and the results achieved.
✨Collaborate Like a Pro
Since this role involves cross-functional collaboration, think of examples where you've worked with different teams. Be ready to discuss how you translated business problems into AI solutions and how you communicated complex ideas effectively.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s current AI projects or challenges they face. This shows your genuine interest in the role and helps you understand how you can contribute to their goals.
