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For Companies At a Glance
- Tasks: Lead AI solutions and advanced analytics projects, transforming data into actionable insights.
- Company: Join IBM Consulting, a leader in tech innovation and client collaboration.
- Benefits: Competitive salary, career growth, and a culture that values your unique skills.
- Other info: Diverse and inclusive workplace with opportunities for continuous learning and development.
- Why this job: Make a real impact with cutting-edge AI technology while mentoring the next generation of data scientists.
- Qualifications: Master's degree and experience in AI project lifecycle, Python, and advanced analytics techniques.
The predicted salary is between 60000 - 80000 £ per year.
A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.
Your Role And Responsibilities
- As a Data Scientist at IBM, you will lead the design and delivery of AI solutions, advanced analytics and automation for clients across industries.
- You will work at the intersection of data science, business strategy, and technology, helping clients unlock value from their data assets while mentoring junior team members and shaping IBM’s data science capability.
- Lead end-to-end AI solutions, advanced analytics and automation engagements from discovery to deployment.
- 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.
- Contribute to 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.
Preferred Education
- Master's Degree
Required Technical And Professional Expertise
- Full AI Project Lifecycle: Experience in managing the full AI project lifecycle, from research and prototyping to deployment in production environments.
- 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).
Preferred Technical And Professional Experience
- 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).
As an equal opportunities’ employer, we welcome applications from individuals of all backgrounds. However, for you to be eligible for this role, you must have the valid right to work in the UK. Unfortunately, we do not offer visa sponsorship.
Data Scientist - AI - Managing Consultant in London employer: IBM
Contact Detail:
IBM Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - AI - Managing Consultant in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on platforms like LinkedIn. 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
Prepare for those interviews! Research common questions for Data Scientist roles and practice your responses. We recommend using the STAR method (Situation, Task, Action, Result) to structure your answers and showcase your skills effectively.
✨Tip Number 3
Showcase your projects! Create a portfolio that highlights your AI solutions and analytics work. We love seeing real examples of your skills in action, so make sure to include links to any relevant GitHub repositories or case studies.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always on the lookout for passionate individuals who are ready to challenge the norm and drive meaningful change in the world of AI.
We think you need these skills to ace Data Scientist - AI - Managing Consultant in London
Some tips for your application 🫡
Show Your Curiosity: At StudySmarter, we love curiosity! Make sure your application reflects your eagerness to explore new ideas and challenge the norm. Share examples of how you've done this in your previous roles.
Tailor Your Application: Don’t just send a generic CV and cover letter. We want to see how your skills and experiences align with the Data Scientist role. Highlight relevant projects and technologies you’ve worked with that match the job description.
Be Clear and Concise: When writing your application, clarity is key. Use straightforward language and avoid jargon where possible. We appreciate well-structured applications that get straight to the point!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at IBM
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI solutions and advanced analytics techniques. Be ready to discuss your experience with tools like TensorFlow or PyTorch, and how you've applied them in real-world projects. This will show that you're not just familiar with the theory but can also deliver practical results.
✨Showcase Your Communication Skills
Since this role involves collaborating with cross-functional teams, practice articulating complex data insights in a clear and concise manner. Prepare examples of how you've successfully communicated technical concepts to non-technical stakeholders in the past. This will demonstrate your ability to bridge the gap between data science and business strategy.
✨Prepare for Scenario Questions
Expect scenario-based questions where you'll need to outline how you'd approach a specific AI project from start to finish. Think about the full AI project lifecycle and be ready to discuss your strategies for discovery, deployment, and mentoring junior team members. This will highlight your leadership skills and project management experience.
✨Stay Current with Trends
Keep yourself updated on the latest trends in AI and machine learning. Be prepared to discuss emerging technologies and methodologies that excite you, and how they could potentially benefit IBM Consulting's clients. This shows your curiosity and commitment to continuous learning, which aligns perfectly with their culture.