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For Companies At a Glance
- Tasks: Design and develop cutting-edge AI solutions using advanced technologies.
- Company: Join IBM CIC, a leader in hybrid cloud and AI innovation.
- Benefits: Flexible working, 25 days holiday, training opportunities, and competitive pension plan.
- Why this job: Make a real impact in AI while growing your career with industry experts.
- Qualifications: Strong Python skills and experience with AI frameworks required.
- Other info: Diverse and inclusive culture with excellent career growth opportunities.
The predicted salary is between 36000 - 60000 ÂŁ per year.
At IBM CIC, we deliver deep technical and industry expertise to a wide range of public and private sector clients in the UK. A career in IBM CIC means you’ll have the opportunity to 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. Curiosity and a constant quest for knowledge serve as the foundation to success here. You’ll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions which impact a wide network of clients, who may be at their site or one of our CIC or IBM locations. Our culture of evolution centres on long‑term career growth and development opportunities in an environment that embraces your unique skills and experience.
We Offer
- Many training opportunities from classroom to e‑learning, mentoring and coaching programmes and the chance to gain industry recognised certifications
- Regular and frequent promotion opportunities to ensure you can drive and develop your career with us
- Feedback and checkpoints throughout the year
- Diversity & Inclusion as an essential and authentic component of our culture through our policies and processes as well as our Employee Champion teams and support networks
- A culture where your ideas for growth and innovation are always welcome
- Internal recognition programmes for peer‑to‑peer appreciation as well as from manager to employees
- Tools and policies to support your work‑life balance from flexible working approaches, sabbatical programmes, paid paternity leave, maternity leave and an innovative maternity returners scheme
- More traditional benefits, such as 25 days holiday (in addition to public holidays), online shopping discounts, an Employee Assistance Programme, a group personal pension plan of an additional 5% of your base salary paid by us monthly to save for your future.
Your role and responsibilities
As a Senior Data Scientist in Artificial Intelligence, you’ll build upon your foundational skills and take on a more significant role in the design and development of AI solutions.
Responsibilities
- Lead the design, development, and deployment of AI solutions using cutting‑edge technologies, focusing on foundation models and large language models
- Collaborate with senior team members to define cognitive computing strategies and guide the full AI project lifecycle
- Conduct in‑depth exploratory data analysis, feature engineering, and model selection for structured and unstructured data
- Utilise advanced analytics techniques, including NLP and ML, to extract insights and drive decision‑making
- Mentor junior team members and promote knowledge‑sharing within the team
Join our team and contribute to the development of groundbreaking AI solutions that drive business success. If you’re passionate about pushing the boundaries of artificial intelligence and have a knack for solving complex problems, we’d love to hear from you.
Preferred Education
Bachelor’s Degree
Required Technical and Professional Expertise
- Strong proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, or Keras
- In‑depth understanding of foundation models and large language models
- Familiarity with cloud platforms (AWS, Azure, GCP) and related services
- Excellent communication, leadership, and problem‑solving skills
- Proven track record of delivering AI solutions in a professional setting
Preferred Technical and Professional Experience
- Experience with generative AI models
- Knowledge of modern UI frameworks (Backbone.js, AngularJS, React.js, Ember.js, Bootstrap, JQuery)
- Familiarity with relational and NoSQL databases (SQL, Postgres, DB2, MongoDB)
- Understanding of various operating systems (Linux, Windows, iOS, Android)
As an equal opportunities’ employer, we welcome applications from individuals of all backgrounds. However, to be eligible for this role, you must have the valid right to work in the UK. Unfortunately, we do not offer visa sponsorship and have no future plans to do so. You must be a resident in the UK and have been living continuously in the UK for the last five years. You must be able to hold or gain a UK government security clearance.
Data Scientist (Gen AI) in Manchester employer: IBM
Contact Detail:
IBM Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist (Gen AI) in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI and data science. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. Get comfortable explaining your thought process and how you tackle problems, as this is key in demonstrating your expertise.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Scientist (Gen AI) in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with AI frameworks and any projects that showcase your skills in Python, NLP, and ML. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to express your passion for AI and how you can contribute to our team. Share specific examples of your work and how they relate to the responsibilities mentioned in the job description.
Showcase Your Curiosity: At StudySmarter, we value curiosity! In your application, mention any instances where you've challenged the norm or explored new ideas in your previous roles. This will show us that you're not just about the basics but are eager to innovate.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our culture and values.
How to prepare for a job interview at IBM
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI frameworks like TensorFlow and PyTorch. Be ready to discuss your experience with foundation models and large language models, as these are key to the role. Show them you’re not just familiar but passionate about the tech!
✨Show Off Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex problems in previous roles. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help demonstrate your analytical thinking and decision-making abilities.
✨Get Familiar with Their Culture
Research IBM CIC’s culture and values, especially their focus on curiosity and innovation. Think of ways you can contribute to their environment and be ready to discuss how your unique skills align with their goals. This shows you’re not just looking for a job, but a place where you can grow.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Ask about their current AI projects or how they support career development. This not only demonstrates your enthusiasm but also helps you gauge if this is the right fit for you.
