At a Glance
- Tasks: Lead AI solutions and advanced analytics projects, mentoring junior team members.
- Company: Join IBM Consulting, a leader in hybrid cloud and AI transformations.
- Benefits: Competitive salary, diverse culture, and opportunities for career growth.
- Other info: Work in a dynamic environment with cutting-edge technologies and a focus on innovation.
- 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.
The predicted salary is between 80000 - 100000 £ 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
At IBM Consulting, we pride ourselves on fostering a culture of innovation and collaboration, where your expertise as a Senior Data Scientist will be valued and nurtured. With access to cutting-edge technology and a commitment to your professional growth, you'll have the opportunity to lead transformative AI projects while mentoring the next generation of data scientists. Our inclusive work environment in the UK encourages diverse perspectives, ensuring that every team member can contribute to meaningful change and client success.
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 can’t stress enough how important it is to build relationships that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI and data science. We recommend using GitHub to share your code and demonstrate your expertise to potential employers.
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. We suggest doing mock interviews with friends or mentors to boost your confidence and refine your answers.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search. Don’t hesitate to follow up after applying!
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 your application reflects your eagerness to explore new ideas and challenge the norm. Share examples of how you've driven meaningful change in your previous roles.
Tailor Your Application:Don’t just send a generic CV and cover letter. We want to see how your unique skills and experiences align with the role of Senior Data Scientist. Highlight relevant projects and technologies that match our job description.
Be Clear and Concise:When writing your application, clarity is key. Use straightforward language to explain your experience with AI solutions and analytics techniques. 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 Inside Out
Make sure you’re well-versed in the full AI project lifecycle. Brush up on your experience with advanced analytics techniques, especially in Python and frameworks like TensorFlow or PyTorch. Be ready to discuss specific projects where you’ve translated complex data into actionable insights.
✨Showcase Your Communication Skills
As a Senior Data Scientist, you'll need to act as a trusted advisor. Prepare examples of how you've effectively communicated technical concepts to non-technical stakeholders. Think about times when your communication made a significant impact on a project or client relationship.
✨Demonstrate Leadership and Mentorship
Highlight your experience mentoring junior team members. Share specific instances where you’ve guided others in their professional development or led a team through a challenging project. This will show that you can not only lead but also foster growth in others.
✨Stay Current with Trends
Familiarise yourself with the latest trends in AI and machine learning. Be prepared to discuss emerging technologies and methodologies that excite you. Showing your curiosity and passion for continuous learning will resonate well with the interviewers at IBM.
