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- Tasks: Lead the design and delivery of innovative data and AI solutions for retail and e-commerce.
- Company: Join OBSS Technology, a leader in data-driven and AI-focused solutions for enterprises.
- Benefits: Enjoy a dynamic work environment with opportunities to work on cutting-edge technologies.
- Why this job: Be at the forefront of transforming business processes and driving innovation in retail.
- Qualifications: 8+ years in Data Science and Machine Learning; relevant degree required.
- Other info: Experience with MLOps and industry certifications are a plus.
The predicted salary is between 54000 - 84000 £ per year.
About Us At OBSS Technology, we empower organizations to achieve their goals through innovative, data-driven, and AI-focused solutions. With expertise in large-scale enterprise projects, we leverage cutting-edge technologies to transform business processes and deliver exceptional value. We are seeking an experienced Data & AI Solution Architect to join our team and spearhead transformative retail and e-commerce projects. Role Overview As a Data & AI Solution Architect, you will drive the design and delivery of cutting-edge solutions that align with our clients’ business strategies. You will oversee the end-to-end technical roadmap, lead architectural decisions, and ensure successful project execution. This role will focus on delivering impactful data and AI solutions, integrating modern machine learning techniques, and driving innovation within the retail and e-commerce domain. Responsibilities • Drive the design and implementation of large-scale data architectures and analytics projects for a retail/e-commerce client. • Incorporate advanced Data Science and AI capabilities such as Natural Language Processing (NLP), Computer Vision, Generative AI (GenAI) and LLM into client projects. • Translate complex business requirements into technical solutions, ensuring seamless integration into existing systems. Qualifications • Bachelor’s or higher degree in a relevant field such as Computer Science, Software Engineering, Data Science, Mathematics, Statistics, or related disciplines. • Minimum 8 years of experience in Data Science, Machine Learning, Deep Learning and Advanced Data Analytics projects. • Hands-on experience with modern data and ML platforms, cloud AI/Data services, major open source tools and libraries. • Experience with MLOps practices (e.g., MLflow, Kubeflow) is a plus. • Strong communication skills for translating technical concepts to non-technical stakeholders. • Experience in a number of Retail, CRM, Marketing use cases (e.g., advanced personalization, recommendation systems, segmentation, campaign targeting, CLV, churn analysis) is required. • Having industry certifications in AI, data analytics, or data science is a plus.
Data & AI Solution Architect employer: OBSS
Contact Detail:
OBSS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data & AI Solution Architect
✨Tip Number 1
Familiarize yourself with the latest trends in data architecture and AI solutions, especially in the retail and e-commerce sectors. This knowledge will help you speak confidently about how your skills can directly benefit OBSS Technology's clients.
✨Tip Number 2
Showcase your hands-on experience with modern data and ML platforms during networking opportunities. Engaging with professionals in the field can lead to valuable connections and insights that may help you stand out in the application process.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully integrated advanced Data Science and AI capabilities. Highlighting your practical experience with NLP, Computer Vision, or Generative AI will demonstrate your fit for the role.
✨Tip Number 4
Brush up on your communication skills, particularly in translating complex technical concepts into layman's terms. Being able to convey your ideas clearly to non-technical stakeholders is crucial for a Data & AI Solution Architect.
We think you need these skills to ace Data & AI Solution Architect
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Data & AI Solution Architect position. Understand the key responsibilities and qualifications required, and think about how your experience aligns with these.
Tailor Your CV: Customize your CV to highlight relevant experience in Data Science, Machine Learning, and Advanced Data Analytics. Emphasize any projects that involved retail or e-commerce, as well as your hands-on experience with modern data platforms and MLOps practices.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data-driven solutions and AI technologies. Mention specific examples of how you've successfully implemented similar projects in the past and how you can contribute to OBSS Technology's goals.
Highlight Communication Skills: Since strong communication skills are essential for this role, make sure to provide examples in your application that demonstrate your ability to translate complex technical concepts into understandable terms for non-technical stakeholders.
How to prepare for a job interview at OBSS
✨Showcase Your Technical Expertise
Be prepared to discuss your hands-on experience with data science, machine learning, and advanced analytics projects. Highlight specific technologies and platforms you've worked with, especially those relevant to retail and e-commerce.
✨Demonstrate Problem-Solving Skills
Prepare to present case studies or examples where you translated complex business requirements into effective technical solutions. This will showcase your ability to think critically and apply your knowledge in real-world scenarios.
✨Communicate Clearly with Non-Technical Stakeholders
Since strong communication skills are essential for this role, practice explaining technical concepts in simple terms. Use analogies or relatable examples to ensure clarity when discussing your ideas with non-technical team members.
✨Stay Updated on Industry Trends
Familiarize yourself with the latest advancements in AI and data science, particularly in the retail sector. Being knowledgeable about current trends and innovations will demonstrate your passion for the field and your commitment to driving impactful solutions.
