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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.
- Benefits: Flexible working, career growth, and access to cutting-edge tools.
- Why this job: Make a real impact with innovative tech while collaborating with industry visionaries.
- Qualifications: 8+ years in AI solutions, strong communication skills, and experience in mentoring.
- Other info: Dynamic environment with opportunities for continuous learning and professional development.
The predicted salary is between 36000 - 60000 £ 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:
- 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.
- You’ll also be a key contributor leading business development through proposal writing, solutioning, and client presentations.
Key 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, 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 technical and professional expertise:
- 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! Get out there and connect with people in the industry. Attend meetups, webinars, or even just grab a coffee with someone who works at IBM. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and data science. This is your chance to demonstrate your expertise and creativity, so make it shine!
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to data science roles. Think about how you can translate complex data into actionable insights, just like you'd do for clients at IBM.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the IBM team and ready to make an impact!
We think you need these skills to ace Data & Analytics Data Scientist - Advanced Analytics Professional London, GB
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with AI solutions, advanced analytics, and any relevant projects that showcase your skills in machine learning and data science.
Craft a Compelling Cover Letter: Your cover letter should tell a story about your journey in data science. Share specific examples of how you've tackled complex problems and delivered impactful results for clients, showing your passion for the field.
Showcase Your Communication Skills: Since this role involves stakeholder management, emphasise your communication skills in your application. Mention instances where you've successfully translated technical concepts into actionable insights for non-technical audiences.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way to ensure your application gets the attention it deserves, and you can easily track your progress!
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, as well as the tools you used. This will show that you not only understand the theory but can also apply it in real-world scenarios.
✨Showcase Your Communication Skills
As a Data Scientist, you'll need to translate complex data into actionable insights for clients. Practice explaining your past projects in simple terms, focusing on how your work impacted the business. This will demonstrate your ability to communicate effectively with stakeholders.
✨Prepare for Scenario Questions
Expect questions that ask how you would approach specific business challenges using data. Think about examples from your experience where you’ve successfully solved problems or improved processes. This will help you illustrate your strategic thinking and problem-solving abilities.
✨Emphasise Collaboration and Mentorship
IBM values teamwork and mentoring junior staff. Be prepared to discuss how you've worked in cross-functional teams and any experience you have in coaching others. Highlighting your collaborative spirit will align well with their culture of innovation and continuous learning.
