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- Tasks: Extract insights from data using AI and machine learning to drive business decisions.
- Company: Join a leading tech company focused on innovation and inclusivity.
- Benefits: Enjoy competitive bonuses, discounts, and generous leave policies.
- Why this job: Make a real impact with cutting-edge AI technology in a dynamic environment.
- Qualifications: 2-3 years of experience in data science and AI, with strong programming skills.
- Other info: Diverse and inclusive workplace committed to your growth and development.
The predicted salary is between 36000 - 60000 £ per year.
We are looking for a Data Science & AI Specialist to obtain value from the full range of all BT data sets using advanced DS and AI models. In this role, you will be responsible for designing, building, deploying, and operationalizing artificial intelligence and machine learning models within the AWS ecosystem. This role combines strong software engineering practices with data science knowledge, leveraging SageMaker’s full suite of tools to manage the entire ML lifecycle.
Responsibilities
- Leads the extraction and analysis of Mobile data through the application of Machine learning & AI techniques to generate insight from data to support decision-making across the business or to embed in new products and services.
- Drives model development, including data exploration, training data, feature extraction, validation and scoring.
- Develops insightful visualisations to make sophisticated analyses accessible to a broad audience.
- Drives initiatives related to fairness, ethics, interpretability, safety, robustness, and privacy in AI/ML.
- Leverages Amazon SageMaker’s capabilities, such as SageMaker Studio, Pipelines and Endpoints, to streamline building, training, evaluating and deploying models at scale.
- Implements and maintains robust Machine Learning Operations (MLOps) practices, including CI/CD pipelines, model versioning, monitoring for drift and performance, and automated retraining processes.
- Collaborates on data acquisition, preprocessing, feature engineering and data analysis to prepare large datasets for model training.
- Leads identification of opportunities and implementation of SageMaker machine learning techniques to derive business insights.
- Contributes towards development of machine learning guidelines, policies and architecture that supports scalable machine learning pipelines.
- Drives new data set sourcing, transformation and preparation of new data sets from across the BT group’s platforms to build foundational data models for data science, analytics and machine learning.
Skills
- 2-3 years+ of proven success at applying Data Science approaches or developing and shaping AI algorithms and models. (Mandatory)
- Experience with AWS cloud services for scalable AI & data solutions. (Mandatory)
- Experience in programming languages such as Python/Java and strong knowledge of AI/ML libraries. (Mandatory)
- Solid understanding of software architecture, data modeling, and various data structures.
- Knowledge of data governance practices to ensure data quality, security, and compliance.
- Demonstrates a comprehensive understanding of ethical considerations related to artificial intelligence and ability to develop and implement fair and responsible AI solutions.
- Research skills to stay up-to-date with latest AI trends and continue to learn new techniques.
- Excellent communication – the ability to listen and to share ideas clearly to a range of audiences.
- Experience in leading, managing and/or coaching others – particularly in technical roles, whether as a line manager or not.
Benefits
- Annual On Target Bonus 10% (personal and company multipliers)
- BT Pension scheme; minimum 5% employee contribution, BT contribution 10%
- Life Assurance
- Direct share scheme
- Exclusive colleague discounts on our latest and greatest BT broadband packages
- 50% off EE mobile pay monthly or SIM only plans and 50% discount for friends and family on EE SIM only plans
- My Discounts gives colleagues access to unbeatable savings on everyday purchases at hundreds of retailers
- Discounted EE TV including TNT Sport and the NOW Entertainment membership
- Great support for working parents including pay whilst on maternity, adoptive, and paternity leave
- Option to join the Healthcare Cash Plan or other benefits such as dental insurance, gym memberships etc.
- 25 days annual leave
Data Science & AI Specialist in London employer: NLP PEOPLE
Contact Detail:
NLP PEOPLE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science & AI Specialist in London
✨Tip Number 1
Network like a pro! Reach out to folks in the data science and AI community, whether it's through LinkedIn or local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AWS and machine learning. We recommend using platforms like GitHub to share your code and visualisations, making it easier for potential employers to see what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common data science and AI questions. We suggest doing mock interviews with friends or using online platforms to practice. The more comfortable you are, the better you'll perform when it counts!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate individuals like you. Plus, applying directly can sometimes give you an edge over other candidates. So, what are you waiting for? Get your application in!
We think you need these skills to ace Data Science & AI Specialist in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Science & AI Specialist role. Highlight your experience with AWS, machine learning, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and AI, and how you can contribute to our team. Be sure to mention any specific experiences that relate to the job description.
Showcase Your Projects: If you've worked on any cool data science or AI projects, make sure to include them in your application. Whether it's a personal project or something from work, 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 NLP PEOPLE
✨Know Your Data Science Stuff
Make sure you brush up on your data science and AI knowledge. Be ready to discuss specific models you've worked with, especially in the AWS ecosystem. Familiarise yourself with SageMaker tools, as they'll likely come up during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled complex data problems in the past. Think about times when you extracted insights from data or developed models that made a real impact. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Communicate Clearly
Since you'll need to make sophisticated analyses accessible to a broad audience, practice explaining your work in simple terms. Be ready to demonstrate your communication skills, as they’re just as important as your technical abilities.
✨Stay Ethical and Responsible
Be prepared to discuss ethical considerations in AI and ML. Show that you understand the importance of fairness, interpretability, and privacy in your work. This will highlight your commitment to responsible AI practices, which is crucial for this role.
