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- Tasks: Lead AI solutions and advanced analytics projects, mentoring junior data scientists.
- Company: Join IBM Consulting, a leader in hybrid cloud and AI innovation.
- Benefits: Competitive salary, diverse culture, and opportunities for career growth.
- Why this job: Shape the future of AI while making a real impact across industries.
- Qualifications: Experience in AI project lifecycle, advanced analytics, and strong communication skills.
- Other info: Work in a dynamic environment with a focus on collaboration and empathy.
The predicted salary is between 43200 - 72000 ÂŁ 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 Senior 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.
- 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 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 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).
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.
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).
IBM is committed to creating a diverse environment and is proud to be an equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Data Scientist - AI - Senior Managing Consultant employer: IBM Computing
Contact Detail:
IBM Computing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - AI - Senior Managing Consultant
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage 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 interviews by practising common questions and scenarios related to AI and data science. We recommend doing mock interviews with friends or using online resources to get comfortable articulating your thoughts and showcasing your expertise.
✨Tip Number 3
Showcase your projects! Whether it's through a portfolio or GitHub, let your work speak for itself. We believe that demonstrating your skills through real-world applications can set you apart from other candidates.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Scientist - AI - Senior Managing Consultant
Some tips for your application 🫡
Show Your Curiosity: At StudySmarter, we love curiosity! Make sure to highlight your eagerness to explore new ideas and challenge the norm in your application. Share examples of how you've driven meaningful change in past projects.
Tailor Your Application: Don’t just send a generic application! We want to see how your unique skills and experiences align with the role. Be specific about your experience with AI solutions and data science techniques that relate to the job description.
Communicate Clearly: Excellent communication is key for us at StudySmarter. Ensure your written application is clear and concise. Use straightforward language to explain complex concepts, especially when discussing your technical expertise.
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 Computing
✨Know Your AI Inside Out
Make sure you’re well-versed in the latest AI technologies and frameworks like TensorFlow and PyTorch. Brush up on your understanding of NLP and ML methods, as you'll need to translate complex data into actionable insights during the interview.
✨Showcase Your Project Experience
Be ready to discuss your experience managing the full AI project lifecycle. Prepare specific examples where you've led projects from research to deployment, highlighting your role in mentoring junior team members and collaborating with cross-functional teams.
✨Communicate Like a Pro
Since excellent communication is key, practice articulating your thoughts clearly and confidently. Think about how you can translate technical jargon into business language that stakeholders can understand, showcasing your ability to be a trusted advisor.
✨Stay Current and Curious
Demonstrate your passion for continuous learning by discussing recent trends or emerging technologies in AI/ML. This shows that you’re not just knowledgeable but also genuinely interested in driving meaningful change in the industry.
