At a Glance
- Tasks: Lead AI solutions design and deployment, collaborating on innovative projects.
- Company: Join IBM Consulting, a leader in tech innovation and expertise.
- Benefits: Flexible work, 25 days holiday, health cover, and sabbatical options.
- Other info: Dynamic environment with opportunities for career growth and knowledge-sharing.
- Why this job: Make an impact with cutting-edge AI technologies and mentor future talent.
- Qualifications: Proficient in Python, AI frameworks, and strong problem-solving skills.
The predicted salary is between 60000 - 80000 £ per year.
In this role, you’ll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer locally based skills and technical expertise to drive innovation and adoption of new technology.
Benefits
- Tools and policies to support your work‑life balance: flexible working approaches, sabbatical programs, paid paternity leave, maternity leave and an innovative maternity returners scheme
- More traditional benefits: 25 days holiday (in addition to public holidays), private medical, dental & optical cover, online shopping discounts, an Employee Assistance Program, life assurance and a group pension plan through salary sacrifice
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
- Utilize 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
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)
Pre‑Employment 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, including eligibility for the Security Check (SC) or Developed Vetting (DV).
Equal 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 & Analytics Senior Data Scientist Professional Multiple Cities employer: IBM
IBM is an exceptional employer, offering a dynamic work environment within our Consulting Client Innovation Centers that fosters innovation and collaboration. With a strong emphasis on work-life balance, comprehensive benefits including flexible working arrangements, generous leave policies, and opportunities for professional growth, employees are empowered to thrive both personally and professionally. Join us to be at the forefront of AI solutions, while enjoying a supportive culture that values diversity and encourages knowledge-sharing.
StudySmarter Expert Advice🤫
We think this is how you could land Data & Analytics Senior Data Scientist Professional Multiple Cities
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even local tech events. The more you engage with others, the better your chances of landing that dream job.
✨Show Off Your Skills
Create a portfolio showcasing your projects and achievements. Whether it's GitHub repos or case studies, let your work speak for itself. This is your chance to shine and demonstrate your expertise in AI and analytics!
✨Ace the Interview
Prepare for interviews by practising common questions and scenarios related to data science and AI. Don’t forget to highlight your problem-solving skills and how you've led projects in the past. Confidence is key!
✨Apply Through Our Website
Make sure to apply directly through our website for the best chance at getting noticed. We love seeing candidates who are proactive and genuinely interested in joining our team!
We think you need these skills to ace Data & Analytics Senior Data Scientist Professional Multiple Cities
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your proficiency in Python and any experience with AI frameworks like TensorFlow or PyTorch. We want to see how you can contribute to our innovative projects!
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 your background aligns with our mission at StudySmarter. Don’t forget to mention any leadership or mentoring experiences you've had!
Showcase Your Projects:If you've worked on any relevant projects, make sure to include them in your application. Whether it's a personal project or something from a previous job, we love seeing practical examples of your skills in action!
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be one step closer to joining our team of talented individuals driving innovation in AI!
How to prepare for a job interview at IBM
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and get familiar with AI frameworks like TensorFlow, PyTorch, or Keras. Be ready to discuss your experience with these technologies and how you've applied them in real-world projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex data challenges. Think about times when you used advanced analytics techniques, like NLP or ML, to drive decision-making. This will demonstrate your ability to think critically and innovate.
✨Communicate Clearly and Confidently
Since excellent communication is key for this role, practice explaining your technical knowledge in simple terms. You might be asked to mentor junior team members, so showing that you can convey complex ideas clearly will set you apart.
✨Understand the Company Culture
Research IBM's values and their approach to work-life balance and innovation. Be prepared to discuss how you align with their culture and how you can contribute to their mission of delivering groundbreaking AI solutions.
