At a Glance
- Tasks: Design and deploy AI models using advanced data science techniques in the AWS ecosystem.
- Company: Join BT, a leader in tech innovation with a focus on collaboration.
- Benefits: Enjoy competitive pay, bonuses, discounts, and generous leave policies.
- Why this job: Make a real impact by driving AI initiatives and shaping the future of technology.
- Qualifications: 2-3 years in data science, strong programming skills, and AWS experience required.
- Other info: Inclusive workplace encouraging diverse applicants to apply.
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.
Inclusive Hiring Statement
Studies have shown that women and people who are disabled, LGBTQ+, neurodiverse or from ethnic minority backgrounds are less likely to apply for jobs unless they meet every single qualification and criteria. We’re committed to building a diverse, inclusive and authentic workplace where everyone can be their best, so if you’re excited about this role but your past experience doesn’t align perfectly with every requirement on the Job Description, please apply anyway – you may just be the right candidate for this or other roles in our wider team.
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 (not including bank holidays), increasing with service with buy holiday option
- Volunteering days so you can give back to your local community
- Brand new electric vehicle salary sacrifice arrangement, known as ‘My EV’
Location
One Braham (4140), London, United Kingdom
Contact
Recruiter: Trevor Newman
Data Science & AI Specialist employer: NLP PEOPLE
Contact Detail:
NLP PEOPLE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science & AI Specialist
✨Tip Number 1
Network like a pro! Reach out to folks in the data science and AI community, whether through LinkedIn or local meetups. 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 AWS and machine learning. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data science and AI questions. Practice explaining your thought process clearly, as communication is key in this field. We want to see how you think, not just what you know!
✨Tip Number 4
Don’t hesitate to apply through our website! Even if you don’t tick every box, we value diverse experiences and perspectives. Your unique background could be just what we’re looking for!
We think you need these skills to ace Data Science & AI Specialist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match 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 you can bring value to our team!
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 your background aligns with our mission at StudySmarter. Keep it engaging and personal – we love to see your personality come through!
Showcase Your Projects: If you've worked on any cool data science or AI projects, make sure to mention them! Whether it's a personal project or something from a previous job, we want to see how you've applied your skills in real-world scenarios. Visuals can help too, so don’t hesitate to include links to your work.
Apply Through Our Website: We encourage you to apply directly 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 applications come in through our own platform!
How to prepare for a job interview at NLP PEOPLE
✨Know Your Data Science Fundamentals
Brush up on your data science and AI fundamentals before the interview. Be ready to discuss your experience with machine learning models, particularly in the AWS ecosystem. Highlight specific projects where you’ve applied these techniques to extract insights from data.
✨Showcase Your Technical Skills
Prepare to demonstrate your programming skills, especially in Python or Java. Have examples ready that showcase your use of AI/ML libraries and how you've implemented them in real-world scenarios. This will help you stand out as a candidate who can hit the ground running.
✨Communicate Clearly and Effectively
Since this role involves making complex analyses accessible, practice explaining your past projects in simple terms. Think about how you can convey technical concepts to non-technical audiences, as this will be crucial in your role at the company.
✨Emphasise Ethical AI Practices
Be prepared to discuss your understanding of ethical considerations in AI. Share any experiences you have with fairness, interpretability, and privacy in your projects. This shows that you’re not just technically skilled but also aware of the broader implications of your work.