Data Scientist
Anson McCade
Charing Cross, United Kingdom
2 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
Senior Compensation
£ 120KJob location
Charing Cross, United Kingdom
Tech stack
Artificial Intelligence
Amazon Web Services (AWS)
Computer Vision
Azure
Big Data
Data Cleansing
Python
Machine Learning
TensorFlow
Feature Engineering
PyTorch
Model Validation
GIT
Scikit Learn
Machine Learning Operations
Job description
Are you a Data Scientist looking to work on challenging AI projects that deliver real-world impact?, You'll work alongside data scientists, engineers, and domain experts to design, build, and deploy data-driven solutions. This is an opportunity to work on varied and impactful projects while continuing to develop your technical expertise in AI and machine learning., * Apply statistical and machine learning techniques to solve complex business and operational challenges.
- Perform data cleaning, transformation, and feature engineering across large and diverse datasets.
- Build, train, validate, and optimise machine learning models.
- Translate technical findings into clear insights for both technical and non-technical stakeholders.
- Collaborate with engineering teams to deploy models into real-world environments.
- Keep up to date with developments across AI, machine learning, and data science.
Requirements
- Strong Python programming skills with experience across data science and machine learning workflows.
- Solid understanding of machine learning algorithms and statistical modelling.
- Experience using ML libraries such as scikit-learn, TensorFlow, or PyTorch.
- Strong knowledge of data preprocessing, feature engineering, and model evaluation.
- Experience working with large datasets and applying analytical techniques.
- Familiarity with Git and reproducible research practices.
Desirable Experience
- Exposure to cloud platforms such as AWS, Azure, or GCP.
- Knowledge of MLOps practices and tooling.
- Experience in areas such as NLP, time series analysis, or computer vision.
- Comfortable presenting technical work and insights to stakeholders.
Benefits & conditions
- The opportunity to work on meaningful AI projects with real-world impact.
- A collaborative environment focused on learning, innovation, and career development.
- Competitive salary and benefits package.
- Access to training, industry events, and research opportunities.
If you're passionate about using AI and data science to solve complex problems, we'd love to hear from you.