Data Science and AI Workstation Specialist in Reading

Data Science and AI Workstation Specialist in Reading

Reading Full-Time 55000 - 60000 £ / year (est.) Home office (partial)
Blue Square Group

At a Glance

  • Tasks: Drive AI computing adoption and support sales teams with NVIDIA-powered HP solutions.
  • Company: Join HP, a leader in innovative technology and AI solutions.
  • Benefits: Competitive salary, car allowance, sick pay, and exciting development opportunities.
  • Other info: Flexible travel across Northern Europe and potential for career growth.
  • Why this job: Shape the future of AI and make a real impact across Northern Europe.
  • Qualifications: Strong understanding of AI, Machine Learning, and technical pre-sales experience.

The predicted salary is between 55000 - 60000 £ per year.

Join HP as our NVIDIA Data Science & AI Workstation Specialist and help shape the future of AI computing across Northern Europe. You’ll drive adoption of NVIDIA-powered HP solutions, acting as the key technical and commercial expert supporting sales teams, channel partners, and customers in unlocking opportunities in AI, Machine Learning, and Data Science. Working closely with NVIDIA, HP, and strategic partners, you’ll influence go-to-market strategy, enable sales success, support technical evaluations, and position HP + NVIDIA as the leading platform for GPU-accelerated innovation. This is a high-impact, customer-facing role for a trusted advisor who combines technical depth with commercial insight and strong relationship-building skills to accelerate AI transformation across the ecosystem.

WHAT YOU’LL BE UP TO

  • Partner with HP AI/Data Science leadership to define regional priorities, align on go-to-market strategy, and drive lead conversion across Northern Europe.
  • Lead technical demonstrations, workshops, and proof-of-concept engagements showcasing the value and performance of HP + NVIDIA AI platforms.
  • Navigate technical discussions around GPU architectures, CUDA, AI frameworks, model training, and AI infrastructure performance.
  • Support the development and execution of HP’s AI workstation and GPU acceleration strategy within enterprise and channel environments.
  • Work with AI-focused channel partners, resellers, system integrators, and software vendors to expand market reach across Northern Europe.
  • Identify new growth opportunities across key verticals including Financial Services, Healthcare, Manufacturing, Research, and AI-focused organisations.

ARE YOU OUR PERFECT PARTNER?

  • Eligible to work within the UK or Germany.
  • Ability to speak German would be a bonus but not essential.
  • Flexible to travel across Northern Europe when required.
  • Strong technical understanding of AI, Machine Learning, Data Science, or GPU-accelerated computing.
  • Experience in technical pre-sales, solutions engineering, partner enablement, or customer-facing technical roles.
  • Experience working within channel, vendor, or indirect sales environments.
  • Knowledge of NVIDIA GPU technologies, AI platforms, or workstation solutions advantageous.
  • Familiarity with AI frameworks such as Python, PyTorch, TensorFlow, or related technologies desirable.

WHAT YOU CAN EXPECT FROM US

  • Competitive Salary: £55,000 - £60,000 Per Annum + Car Allowance.
  • Company Sick Pay + Life Assurance: 4 times your annual salary.
  • Access to a range of discounts and perks across our key partners & beyond.
  • Development Opportunities.

Data Science and AI Workstation Specialist in Reading employer: Blue Square Group

HP is an exceptional employer, offering a dynamic work environment where innovation meets collaboration. As a Data Science and AI Workstation Specialist, you will benefit from competitive salaries, comprehensive development opportunities, and a culture that values technical expertise and commercial insight. With a focus on AI transformation across Northern Europe, HP provides a unique platform for professional growth while working alongside industry leaders like NVIDIA.

Blue Square Group

Contact Details:

Blue Square Group Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Science and AI Workstation Specialist in Reading

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When you find a suitable opening like Data Science and AI Workstation Specialist at Blue Square Group, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Data Science and AI Workstation Specialist in Reading

Technical Understanding of AI
Machine Learning
Data Science
GPU-Accelerated Computing
Technical Pre-Sales Experience
Solutions Engineering
Partner Enablement

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Blue Square Group. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Blue Square Group

Brush Up on Your Statistics

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Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Blue Square Group!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.