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For Companies At a Glance
- Tasks: Design end-to-end data science solutions and bridge teams for impactful analytics.
- Company: Join a leading tech firm focused on innovative data solutions.
- Benefits: Competitive pay, flexible working, and opportunities for professional growth.
- Why this job: Shape the future of data science and make a real difference in business.
- Qualifications: Experience in data science, ML, and strong problem-solving skills required.
- Other info: Dynamic role with a focus on collaboration and cutting-edge technology.
The predicted salary is between 60000 - 80000 £ per year.
Whitehall Resources are currently looking for a Data Solution Designer. This role will be inside of IR35, so you will be required to use an Umbrella Company.
Key Requirements:
- The Data Solution Designer – Data Science is responsible for designing end‑to‑end data science and advanced analytics solutions that translate complex business problems into scalable, secure, and high‑performance data products.
- This role bridges business stakeholders, data engineering, data science, and IT architecture teams, ensuring solutions are production‑ready and aligned with enterprise standards.
Key Responsibilities:
- Design end‑to‑end data science solutions including data ingestion, feature engineering, model development, deployment, and monitoring.
- Define logical and physical architectures for analytics platforms, ML pipelines, and AI products.
- Ensure solutions are scalable, reusable, secure, and cost‑effective.
- Work closely with data engineers to define:
- Data models and schemas.
- Data quality rules.
- Model selection and evaluation strategies.
- Experiment tracking and reproducibility.
- CI/CD of ML models.
- Model versioning and governance.
- Monitoring drift, accuracy, and bias.
- Programming languages and frameworks.
- Cloud vs on‑prem deployments.
- Security, privacy, and compliance.
Key Experience:
- Data Science & ML: Supervised and unsupervised learning, time series, NLP, recommendation systems (as applicable).
- Programming: Optional: R, SQL.
- Data Platforms: Relational & NoSQL databases.
- MLOps & Deployment: Model packaging and REST APIs, AWS / Azure / GCP analytics and ML services.
- Strong analytical and problem‑solving skills.
- Ability to explain complex data science concepts in simple business language.
- Experience working in Agile / Scrum environments.
- Stakeholder management and decision facilitation.
- BFSI domain experience (risk, fraud, AML, credit, customer analytics).
- Experience with regulatory data modelling and explainable AI (XAI).
- Exposure to GenAI, LLMs, and vector databases.
- TOGAF or cloud architecture certifications.
Data Solution Designer: End-to-End ML & Architecture in England employer: Whitehall Resources
Contact Detail:
Whitehall Resources Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Solution Designer: End-to-End ML & Architecture in England
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Data Solution Designer gig.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your end-to-end data science projects. We recommend including case studies that highlight your problem-solving abilities and how you’ve designed scalable solutions. This will make you stand out when applying through our website.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your experience with MLOps, cloud services, and data governance. We suggest practising common interview questions and even doing mock interviews with friends.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way. We believe it shows your enthusiasm for the role and keeps you fresh in the interviewer’s mind. Plus, it’s a great chance to reiterate why you’re the perfect fit for the Data Solution Designer position.
We think you need these skills to ace Data Solution Designer: End-to-End ML & Architecture in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Solution Designer role. Highlight your experience with data science, ML, and architecture, and don’t forget to mention any relevant projects that showcase your skills in designing end-to-end solutions.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this role. Talk about your experience with data engineering and how you’ve successfully bridged the gap between business and technical teams in the past.
Showcase Your Technical Skills: Don’t hold back on showcasing your technical skills! Mention your proficiency in programming languages like R or SQL, and any experience you have with cloud platforms like AWS, Azure, or GCP. This will help us see how you can contribute to our team.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Whitehall Resources
✨Know Your Data Science Fundamentals
Brush up on your data science and machine learning concepts, especially supervised and unsupervised learning. Be ready to discuss how you would approach designing end-to-end solutions and be prepared to explain complex ideas in simple terms.
✨Familiarise Yourself with MLOps
Understand the principles of MLOps, including CI/CD for ML models and model versioning. Be ready to share your thoughts on monitoring model drift and accuracy, as well as how you would ensure compliance with data governance standards.
✨Showcase Your Problem-Solving Skills
Prepare examples from your past experiences where you successfully solved complex business problems using data science. Highlight your analytical skills and how you collaborated with stakeholders to deliver scalable and secure data products.
✨Understand the BFSI Domain
If you have experience in the Banking, Financial Services, and Insurance (BFSI) sector, make sure to highlight it. Discuss any relevant projects you've worked on, especially those involving risk, fraud, or customer analytics, as this will resonate well with the interviewers.