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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 with AI.
- Benefits: Enjoy flexible working, competitive salary, and opportunities for continuous learning and growth.
- Other info: Be part of a diverse team that values curiosity, collaboration, and personal development.
- Why this job: Make a real impact by mentoring others and driving innovation in a collaborative environment.
- Qualifications: 8+ years in AI solutions, strong communication skills, and experience with cloud platforms.
The predicted salary is between 43200 - 72000 £ per year.
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.
IBM 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, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law.
Data & Analytics Advanced Analytics - Data Scientist Professional London, GB employer: IBM
Contact Detail:
IBM Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data & Analytics Advanced Analytics - Data Scientist 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 data science projects. Whether it's machine learning models or insightful analyses, having tangible examples of your work can really impress potential employers.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to AI and data analytics. Think about how you can translate complex data into actionable insights, just like you'd do in the role 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 genuinely interested in joining the IBM team and being part of something big!
We think you need these skills to ace Data & Analytics Advanced Analytics - Data Scientist Professional London, GB
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role at IBM. Highlight your experience with AI solutions, advanced analytics, and any relevant projects that showcase your skills in machine learning and data-driven decision-making.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how your background aligns with IBM's mission. Don’t forget to mention your experience in mentoring and leading teams, as this is key for the role.
Showcase Your Communication Skills: As a Data Scientist, you'll need to communicate complex ideas clearly. In your application, demonstrate your ability to translate technical jargon into actionable insights. This could be through examples of past presentations or reports you've created.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets the attention it deserves. Plus, you’ll find all the details you need about the role and our company culture there!
How to prepare for a job interview at IBM
✨Know Your Data Science Stuff
Make sure you brush up on your knowledge of machine learning, deep learning, and statistical modelling. Be ready to discuss specific projects where you've applied these skills, especially in a consulting environment. 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 senior client stakeholders, practice articulating your thoughts clearly and confidently. Prepare examples of how you've successfully communicated technical concepts to non-technical audiences, as this is crucial for the role.
✨Prepare for Collaborative Scenarios
Expect questions about teamwork and collaboration. Think of instances where you've led cross-functional teams or mentored junior members. Highlight your ability to foster a culture of innovation and continuous learning, which aligns with IBM's values.
✨Research IBM's Culture and Values
Familiarise yourself with IBM's mission and values, especially their focus on responsible technology and collaboration. Be prepared to discuss how your personal values align with theirs and how you can contribute to their vision of being a catalyst for progress.