At a Glance
- Tasks: Lead innovative data science projects and tackle complex AI challenges for clients.
- Company: Dynamic firm in Manchester focused on AI and data transformation.
- Benefits: Hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Join a supportive team that values continual learning and development.
- Why this job: Make a real-world impact with cutting-edge AI solutions and collaborate with talented teams.
- Qualifications: Experience in data science, machine learning, and strong communication skills required.
The predicted salary is between 55000 - 70000 £ per year.
As a practitioner in AI & D, you are responsible for delivering Data Science on client projects. You are encouraged to devise innovative solutions to help our clients address their biggest data challenges including developing modern analytics platforms.
Responsibilities
- Apply data science, machine learning and AI techniques creatively to solve complex problems.
- Research and develop innovative solutions that deliver real-world impact.
- Pioneer implementation of new techniques and technologies.
- Participate in all phases of the lifecycle from capturing user needs and developing prototypes to scaling and managing live services.
- Be responsible for the high-quality delivery of projects.
- Shape new propositions and support winning new projects.
- Support continual learning and development in the team.
Qualifications
- Hands-on experience of applying data science or machine learning.
- Understanding of a range of machine learning architectures and models (e.g. Transformers, CNNs, Generative AI) and understand their applicability to client use cases.
- Strong communication skills, including preparing engaging and impactful reports and presentations and conveying complex issues to diverse audiences.
- Leading data teams to deliver high quality AI & Data projects for clients.
- Building productive relationships with colleagues and clients.
- Evidence of contribution to practice development, including developing new propositions, mentoring colleagues and supporting bid work.
Desirable experience
- Experience applying state-of-the-art techniques to derive insights from varied data sources.
- Experience with Data Science and Machine Learning services and toolkits from Cloud providers (AWS, Azure, GCP) or equivalent.
- Practical experience with Python and good practice tools and processes for developing high-quality code.
- Familiarity with common Python libraries for data management, statistical analysis, machine learning.
- Experience with popular machine learning frameworks such as TensorFlow and PyTorch.
- Strong understanding of statistics and probability.
- Strong knowledge of the machine learning lifecycle, from prototyping state-of-the-art to scaling and managing for enterprise use.
- Experience with one or more common workflow/pipelining frameworks (Kubeflow, MLFlow, Argo or equivalents).
- Understanding of key considerations for Ethical and Responsible AI and experience applying them.
Location: Manchester (hybrid working).
Manager, Data Science, AI & Data, AI Scaling & Transformation, Manchester employer: Hm Revenue & Customs (Hmrc)
As a leading employer in the AI and Data Science sector, we offer a dynamic work environment in Manchester that fosters innovation and creativity. Our commitment to employee growth is evident through continuous learning opportunities and a collaborative culture that encourages team members to pioneer new solutions. With a focus on delivering impactful projects and a hybrid working model, we provide a rewarding experience for those looking to make a difference in the world of data.
Contact Details:
Hm Revenue & Customs (Hmrc) Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Manager, Data Science, AI & Data, AI Scaling & Transformation, Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those using machine learning and AI techniques. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex data science concepts in simple terms, as you'll need to convey these ideas to diverse audiences. Remember, it's all about making an impact!
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight how your experience aligns with our mission of delivering high-quality AI & Data projects.
We think you need these skills to ace Manager, Data Science, AI & Data, AI Scaling & Transformation, Manchester
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the role. Highlight your hands-on experience with data science and machine learning, and show how your skills align with our needs at StudySmarter.
Showcase Your Projects:Include examples of past projects where you've applied innovative solutions in AI and data science. We love seeing real-world impact, so don’t hold back on the details!
Communicate Clearly:Strong communication skills are key! When writing your application, aim for clarity and engagement. Remember, we want to see how you can convey complex ideas simply and effectively.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows your enthusiasm for joining our team!
How to prepare for a job interview at Hm Revenue & Customs (Hmrc)
✨Know Your Data Science Stuff
Make sure you brush up on your data science and machine learning knowledge. Be ready to discuss specific techniques you've used, like Transformers or CNNs, and how they can solve real-world problems. Prepare examples of projects where you've applied these skills.
✨Showcase Your Communication Skills
Since strong communication is key for this role, practice explaining complex concepts in simple terms. Think about how you would present your findings to a non-technical audience. You might even want to prepare a mini-presentation to demonstrate your ability to convey information effectively.
✨Demonstrate Leadership Experience
Be prepared to talk about your experience leading data teams and delivering high-quality projects. Share specific examples of how you've mentored colleagues or contributed to practice development. This will show that you can not only manage projects but also inspire and support your team.
✨Familiarise Yourself with Tools and Frameworks
Get comfortable with the tools mentioned in the job description, like Python libraries, TensorFlow, and MLFlow. If you have experience with cloud services like AWS or Azure, be ready to discuss how you've used them in past projects. This will demonstrate your hands-on experience and readiness for the role.
