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- Tasks: Lead AI solutions and advanced analytics projects, transforming data into actionable insights.
- Company: Join IBM, a global leader in technology and consulting, shaping the future of AI.
- Benefits: Enjoy flexible working, competitive salary, and opportunities for continuous learning and growth.
- Other info: Dynamic hybrid work environment with a focus on innovation and personal development.
- Why this job: Make a real impact with cutting-edge technology while collaborating with industry visionaries.
- Qualifications: 8+ years in AI solutions, strong communication skills, and experience in mentoring teams.
The predicted salary is between 80000 - 100000 £ per year.
A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio, including Software and Red Hat. Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground-breaking impact for a wide network of clients. Our culture of evolution and empathy centres on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.
At IBM, you’ll be part of a global team that’s redefining what’s possible with AI and data. You’ll have access to cutting-edge tools, a collaborative culture, and opportunities to shape the future of technology and business.
Your role and responsibilities:
- Lead the design and delivery of AI solutions, advanced analytics and automation for clients across industries.
- 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.
- 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, fostering a culture of innovation, collaboration, and continuous learning.
- 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.
- Contribute to IBM’s thought leadership by publishing white papers, speaking at conferences, and developing reusable assets and accelerators.
- 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
Required Skills & Experience:
- Proven experience (8+ years) in delivering AI solutions, advanced analytics and automation solutions in a consulting or enterprise environment.
- Excellent communication and stakeholder management skills.
- Experience leading cross-functional teams and mentoring talent.
- Strong understanding of machine learning, deep learning, NLP, and statistical modelling.
- Experience with cloud platforms (IBM Cloud, AWS, Azure, or GCP).
- Experience working with clients in sectors such as financial services, healthcare, or public sector is desirable.
Preferred technical and professional experience:
- PhD or equivalent experience is a plus (preferable in Data Science, Computer Science, Statistics, or a related field).
- Certifications in cloud platforms or data science tools (e.g., IBM Data Science Professional Certificate) are advantageous.
- Experience with data engineering tools and MLOps practices is a plus.
IBM Consulting is IBM’s consulting and global professional services business, with market-leading capabilities in business and technology transformation. With deep expertise in many industries, we offer strategy, experience, technology, and operations services to many of the most innovative and valuable companies in the world. Our people are focused on accelerating our clients’ businesses through the power of collaboration.
IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Data & Analytics Data Scientist - Advanced Analytics Professional London, GB employer: IBM
Contact Detail:
IBM Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data & Analytics Data Scientist - Advanced Analytics Professional London, GB
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Tailor your answers to show how your skills align with their values and goals. We want to see your passion!
✨Tip Number 3
Practice makes perfect! Do mock interviews with friends or use online platforms. The more comfortable you are, the better you’ll perform when it counts.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Data & Analytics Data Scientist - Advanced Analytics Professional London, GB
Some tips for your application 🫡
Show Your Curiosity: At StudySmarter, we love a curious mind! Make sure to highlight your eagerness to learn and explore new ideas in your application. Share examples of how you've challenged the norm or investigated outside your usual role.
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific skills and experiences that align with the Data Scientist role. We want to see how you can bring value to our team!
Be Clear and Concise: When writing your application, clarity is key. Use straightforward language and avoid jargon where possible. We appreciate a well-structured application that gets straight to the point while showcasing your 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’s super easy to do!
How to prepare for a job interview at IBM
✨Know Your Data Science Stuff
Make sure you brush up on your machine learning, deep learning, and statistical modelling skills. Be ready to discuss specific projects where you've applied these techniques, especially in a consulting context. This will show that you can translate complex data into actionable insights.
✨Showcase Your Communication Skills
Since you'll be acting as a trusted advisor to clients, practice articulating your thoughts clearly and confidently. Prepare to explain how you've managed stakeholder relationships in the past and how you can convey technical concepts to non-technical audiences.
✨Demonstrate Your Curiosity
IBM values curiosity and a quest for knowledge. Be prepared to discuss how you stay current with emerging technologies and methodologies in AI/ML. Share examples of how you've challenged the norm or investigated ideas outside your role to drive innovation.
✨Prepare for Collaborative Scenarios
Collaboration is key in this role, so think of examples where you've worked with cross-functional teams. Be ready to discuss how you foster a culture of innovation and continuous learning, and how you've mentored junior team members in the past.