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- Tasks: Design and develop AI-driven services that meet user needs at a national scale.
- Company: Join a forward-thinking organisation leading the AI revolution.
- Benefits: Excellent salary, flexible working options, and comprehensive benefits package.
- Why this job: Make a real impact by transforming complex data into innovative AI solutions.
- Qualifications: Proficient in Python with experience in machine learning and data analysis.
- Other info: Opportunity to shape the future of AI in a dynamic and evolving environment.
The predicted salary is between 36000 - 60000 £ per year.
We are now looking for a talented Applied Data Scientist to support the next phase of our AI-enabled digital product suite. This is an opportunity to design, develop and deliver intelligent, data-driven services that are simpler, clearer and faster, genuinely meeting user needs at national scale.
You will play a key role in exploring complex datasets, building production-ready machine learning and generative AI solutions, and working closely with multidisciplinary teams to translate real user problems into impactful AI capabilities.
Key Responsibilities Include:- Exploring, analysing and interpreting large, complex and diverse datasets to uncover insights and opportunities for AI-driven improvement.
- Designing, building, evaluating and optimising machine learning, deep learning and generative AI models for real-world service applications.
- Collaborating with engineers, product managers, designers and policy stakeholders to translate user needs into scalable AI solutions.
- Contributing to AI-enabled capabilities such as intelligent automation, natural language understanding, prediction and decision support.
- Ensuring responsible, ethical and secure use of AI and data aligned with governance, privacy and public sector standards.
- Communicating technical findings, model behaviour and limitations clearly to both technical and non-technical audiences.
- Supporting experimentation, evaluation and continuous improvement of AI systems in production environments.
- Staying current with emerging AI research, tooling, model capabilities and best practice.
- Strong proficiency in Python for data science, machine learning and AI development.
- Experience developing and deploying machine learning or deep learning models.
- Knowledge of natural language processing, transformers or generative AI techniques.
- Solid grounding in statistics, probability and experimental design.
- Experience working with large datasets using SQL or cloud data platforms.
- Ability to explain complex AI concepts to diverse technical and non-technical stakeholders.
- Experience collaborating within multidisciplinary digital or product teams.
- Clear commitment to ethical, transparent and responsible AI development.
- Comfort working in fast-moving, evolving and sometimes ambiguous environments.
- Experience working with large language models via APIs or open-source frameworks.
- Fine-tuning or evaluating generative AI systems.
- Knowledge of MLOps, monitoring and lifecycle management.
- Experience with cloud AI/ML services and scalable data platforms.
- Exposure to reinforcement learning, graph machine learning or advanced deep learning techniques.
- Data visualisation or decision-intelligence tooling experience.
- Experience within government, public sector or other regulated environments.
- Mentoring colleagues or supporting wider AI capability development.
This is a unique opportunity to shape how AI is applied across the organisation and help shape the business AI journey.
Applied Data Scientist in Birmingham employer: New Albany Plain Local Schools
Contact Detail:
New Albany Plain Local Schools Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied Data Scientist in Birmingham
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups or webinars, and connect with potential colleagues 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 or AI. This gives you a chance to demonstrate your expertise and creativity, making you stand out to employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical folks.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications from passionate candidates who are eager to contribute to our AI journey. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Applied Data Scientist in Birmingham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Applied Data Scientist role. Highlight your proficiency in Python, machine learning, and any relevant projects you've worked on. We want to see how you can contribute to our AI-enabled digital product suite!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background aligns with our mission at StudySmarter. Don’t forget to mention your experience with complex datasets and collaboration with multidisciplinary teams.
Showcase Your Projects: If you've worked on any interesting 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 real-world applications of your skills, especially in machine learning and generative AI.
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 submit all your materials in one go. Plus, it shows us you’re serious about joining the StudySmarter team!
How to prepare for a job interview at New Albany Plain Local Schools
✨Know Your Data Science Stuff
Make sure you brush up on your Python skills and be ready to discuss your experience with machine learning and AI development. Be prepared to explain how you've tackled complex datasets in the past and the impact of your work.
✨Show Off Your Collaboration Skills
Since this role involves working with multidisciplinary teams, think of examples where you've successfully collaborated with engineers, product managers, or designers. Highlight how you translated user needs into effective AI solutions.
✨Communicate Clearly
Practice explaining complex AI concepts in simple terms. You might be asked to present your findings to non-technical stakeholders, so being able to communicate effectively is key. Use relatable examples to illustrate your points.
✨Stay Current with AI Trends
Familiarise yourself with the latest AI research and tools. Being knowledgeable about emerging trends will not only impress your interviewers but also show your commitment to continuous improvement in the field.