At a Glance
- Tasks: Lead AI projects from start to finish, turning data into actionable insights.
- Company: Join a forward-thinking consultancy that values innovation and collaboration.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Mentorship opportunities available in a dynamic, tech-driven environment.
- Why this job: Make a real impact by developing cutting-edge AI solutions for diverse clients.
- Qualifications: Experience in AI project management and advanced analytics techniques required.
The predicted salary is between 80000 - 100000 £ per year.
Responsibilities
- Strategic leadership of large end-to-end AI solutions, advanced analytics and automation engagements from discovery to deployment.
- Act as a trusted advisor to senior client stakeholders, translating business challenges into data-driven solutions and articulating the value of AI.
- Translate complex data into actionable insights and strategic recommendations.
- Collaborate with cross-functional teams including consultants, engineers, and client stakeholders.
- Design and implement machine learning models, statistical analyses, and AI solutions tailored to client needs.
- Lead business development through proposal writing, solutioning, and client presentations.
- Mentor and coach junior data scientists and analysts.
- Stay current with emerging technologies and methodologies in AI/ML and data science.
Required Education
- Bachelor's Degree
Preferred Education
- Master's Degree
Experience and Technical Skills
- Full AI Project Lifecycle: Experience in managing the full AI project lifecycle, from research and prototyping to deployment in production environments in a consulting or enterprise environment.
- Excellent communication and stakeholder management skills.
- Advanced Analytics Techniques: Experience with advanced analytics techniques for structured data, including proficiency in Python and AI frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face.
- NLP and ML Methods: Deep understanding of Natural Language Processing (NLP) and Machine Learning (ML) methods for unstructured content, with expertise in foundation models and large language models.
- AI Solution Development: Experience in architecting and delivering AI solutions using cutting-edge technologies, including tools like GitHub Copilot and Amazon Code Whisperer.
- Cloud Platforms and Services: Familiarity with cloud platforms (e.g., Kubernetes, AWS, Azure, GCP, IBM Cloud) and related services, as well as experience with relational and NoSQL databases (SQL, Postgres, DB2, MongoDB).
- Foundation in Specialized Areas: Experience with one of the following areas: NLP, Image Processing, Video Processing, Voice Processing, or Watson technologies, enabling optimization of AI solutions and driving business value.
- Proficiency in Modern UI Frameworks: Familiarity with modern UI frameworks such as Backbone.js, AngularJS, React.js, Ember.js, Bootstrap, and JQuery, allowing for seamless integration with AI solutions.
- Operating System Knowledge: Experience working with various operating systems, including Linux, Windows, iOS, and Android, facilitating smooth deployment of AI solutions across different environments.
- PhD or equivalent experience is a plus (preferable in Data Science, Computer Science, Statistics, or a related field).
Data & Analytics Data Scientist - AI - Senior Managing Consultant Professional London, GB in Whitehall employer: IBM
As a leading employer in the heart of London, we offer an exceptional work environment that fosters innovation and collaboration. Our commitment to employee growth is evident through mentorship opportunities and access to cutting-edge technologies, ensuring you stay at the forefront of AI and data science. Join us to be part of a dynamic team that values your contributions and supports your professional development while working on impactful projects that drive real business value.
StudySmarter Expert Advice🤫
We think this is how you could land Data & Analytics Data Scientist - AI - Senior Managing Consultant Professional London, GB in Whitehall
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend meetups, webinars, or conferences related to AI and data science. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI solutions or advanced analytics. This is your chance to demonstrate how you translate complex data into actionable insights. Share it on platforms like GitHub or your personal website.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to AI and data science. Be ready to discuss your experience with machine learning models and how you've tackled real-world business challenges. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Tailor your application to highlight your relevant experience and how you can contribute to our team’s success in delivering cutting-edge AI solutions.
We think you need these skills to ace Data & Analytics Data Scientist - AI - Senior Managing Consultant Professional London, GB in Whitehall
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the job description. Highlight your experience with AI solutions, advanced analytics, and any relevant projects you've led. 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 the perfect fit for this role. Share specific examples of how you've tackled similar challenges and how you can bring value to our team at StudySmarter.
Showcase Your Technical Skills:Don’t hold back on your technical prowess! Mention your experience with Python, machine learning frameworks, and cloud platforms. We love seeing candidates who are up-to-date with the latest technologies in AI and data science.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us at StudySmarter!
How to prepare for a job interview at IBM
✨Know Your AI Inside Out
Make sure you’re well-versed in the full AI project lifecycle. Brush up on your experience with tools like TensorFlow and PyTorch, and be ready to discuss specific projects where you’ve managed everything from research to deployment.
✨Speak Their Language
When talking to interviewers, use terminology that resonates with them. Be prepared to translate complex data concepts into actionable insights, showcasing your ability to communicate effectively with senior stakeholders.
✨Showcase Your Leadership Skills
As a senior managing consultant, you’ll need to demonstrate your leadership capabilities. Share examples of how you’ve mentored junior data scientists or led cross-functional teams to success in previous roles.
✨Stay Current with Trends
Keep yourself updated on the latest trends in AI and machine learning. Mention any recent technologies or methodologies you’ve explored, and be ready to discuss how they could apply to the role you’re interviewing for.
