At a Glance
- Tasks: Lead the design and delivery of advanced AI solutions while mentoring mid-level data scientists.
- Company: Join IBM, a leader in technology and innovation with a commitment to diversity.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for professional growth.
- Other info: Collaborate with clients and stakeholders to drive successful project outcomes.
- Why this job: Shape the future of AI and make a real impact in a dynamic environment.
- Qualifications: Extensive experience in AI and machine learning, with strong Python skills.
The predicted salary is between 60000 - 80000 £ per year.
We are seeking a Managing Data Scientist with strong expertise in Artificial Intelligence to lead the design, development, and delivery of advanced AI solutions. In this role, you will guide project teams, shape AI strategy, and work with stakeholders to ensure successful outcomes across complex initiatives.
Responsibilities
- Architect and deliver AI solutions using modern techniques, including foundation models and large language models.
- Define and implement AI and cognitive computing strategies aligned with organisational and project objectives.
- Lead the full lifecycle of AI solution development, from initial design through to deployment and evaluation.
- Mentor and support mid-level data scientists, promoting knowledge sharing and continuous development.
- Build strong working relationships with clients and stakeholders to ensure clear communication and effective delivery.
Required education
None
Preferred education
Bachelor's Degree
Required technical and professional expertise
- Extensive experience in AI, machine learning, and data science, with a strong focus on foundation models and large language models.
- Masterful proficiency in Python and expertise in AI frameworks such as TensorFlow, PyTorch, or Keras.
- Deep understanding of cloud platforms (AWS, Azure, GCP) and related services.
- Proven track record of delivering complex AI solutions in a professional setting.
- Exceptional communication, leadership, and problem-solving skills.
Preferred technical and professional experience
- Experience with generative AI models and deep learning architectures.
- Familiarity with modern UI frameworks (Backbone.js, AngularJS, React.js, Ember.js, Bootstrap, JQuery).
- Knowledge of relational and NoSQL databases (SQL, Postgres, DB2, MongoDB).
- Understanding of various operating systems (Linux, Windows, iOS, Android).
Security Screening
This role is subject to pre-employment screening in line with the UK Government’s Baseline Personnel Security Standard (BPSS). An additional range of Personal Security Controls referred to as National Security Vetting (NVS) may apply, this could include meeting the eligibility requirements for The Security Check (SC) or Developed Vetting (DV).
Equal Employment Opportunity Statement
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. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Data Scientist - AI in Winchester employer: IBM
At IBM, we pride ourselves on being an exceptional employer, particularly for our Data Scientist - AI role. Our collaborative work culture fosters innovation and creativity, while our commitment to employee growth ensures that you will have ample opportunities to develop your skills and advance your career. Located in a vibrant tech hub, we offer competitive benefits and the chance to work on cutting-edge AI solutions that make a real impact.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist - AI in Winchester
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or conferences related to AI and data science. Building relationships can lead to job opportunities that aren’t even advertised.
✨Show Off Your Skills
Create a portfolio showcasing your AI projects and solutions. Whether it’s through GitHub or a personal website, having tangible examples of your work can really impress potential employers and set you apart from the crowd.
✨Ace the Interview
Prepare for technical interviews by brushing up on your Python skills and understanding AI frameworks like TensorFlow and PyTorch. Practice common interview questions and be ready to discuss your past projects in detail.
✨Apply Through Our Website
Don’t forget to check out our website for the latest job openings! Applying directly through us not only shows your interest but also gives you a better chance of being noticed by our hiring team.
We think you need these skills to ace Data Scientist - AI in Winchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Scientist - AI role. Highlight your experience with AI, machine learning, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how you can contribute to our team. Be sure to mention specific experiences that demonstrate your leadership and problem-solving skills.
Showcase Your Technical Skills:Don’t forget to highlight your technical expertise in Python and AI frameworks like TensorFlow or PyTorch. We love seeing candidates who can back up their claims with real-world examples of how they've used these tools to deliver complex solutions.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to submit all your materials in one go. Plus, it helps us keep track of your application!
How to prepare for a job interview at IBM
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI, machine learning, and especially foundation models and large language models. Be ready to discuss specific projects you've worked on and how you used Python and frameworks like TensorFlow or PyTorch to deliver results.
✨Showcase Your Leadership Skills
As a Managing Data Scientist, you'll need to demonstrate your leadership abilities. Prepare examples of how you've mentored others or led project teams in the past. Highlight your communication skills and how you've built strong relationships with stakeholders.
✨Understand the Cloud Landscape
Familiarise yourself with cloud platforms like AWS, Azure, and GCP. Be prepared to discuss how you've leveraged these services in your previous roles to architect and deploy AI solutions. This will show that you can navigate the technical landscape effectively.
✨Prepare for Security Screening
Since this role involves security screening, be ready to discuss your understanding of the Baseline Personnel Security Standard (BPSS) and any relevant experience you have. It’s important to show that you’re aware of the compliance aspects of the role.
