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For Companies At a Glance
- Tasks: Design innovative data science solutions and bridge business with tech teams.
- Company: Dynamic company in Norwich offering flexible work arrangements.
- Benefits: Competitive pay, remote work options, and opportunities for professional growth.
- Why this job: Make a real impact by solving complex business problems with cutting-edge data science.
- Qualifications: Experience in data science, programming, and strong problem-solving skills.
- Other info: Join a collaborative team with a focus on innovation and career advancement.
The predicted salary is between 36000 - 60000 £ per year.
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.
Your Responsibilities
- Solution & Data Model Design
- Solution Design & Architecture
- 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.
- Select appropriate ML/AI techniques (e.g., regression, classification, NLP, forecasting, clustering).
- Data & Analytics Engineering Alignment
- Work closely with data engineers to define data models and schemas, data quality rules, and ETL / ELT pipelines.
- Define feature stores, training datasets, and inference pipelines.
- Model Development & Deployment Strategy
- Guide data scientists on model selection and evaluation strategies, experiment tracking and reproducibility.
- Design MLOps frameworks for CI/CD of ML models, model versioning and governance, and monitoring drift, accuracy, and bias.
- Technology & Platform Governance
- Define standards for programming languages and frameworks, cloud vs on-prem deployments, and security, privacy, and compliance.
- Ensure adherence to data governance, regulatory, and risk controls (especially in BFSI).
- Documentation & Best Practices
- Produce high level architecture diagrams, low level design documents, and non-functional requirement specifications.
- Establish best practices and reusable design patterns.
Your Profile
- Essential Skills / Knowledge / Experience
- Data Science & ML: Supervised and unsupervised learning, time series, NLP, recommendation systems (as applicable).
- Programming: Python (NumPy, Pandas, Scikit learn); Optional: R, SQL.
- Data Platforms: Relational & NoSQL databases, big data frameworks (Spark, Hive, Databricks).
- MLOps & Deployment: Model lifecycle management, CI/CD pipelines, containerization (Docker, Kubernetes desirable), model packaging and REST APIs.
- Cloud & Tools: Any combination of AWS / Azure / GCP analytics and ML services, MLflow, Azure ML, SageMaker, Vertex AI, version control (Git).
- 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 Data Science in Norwich employer: Stackstudio Digital Ltd.
Contact Detail:
Stackstudio Digital Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Solution Designer Data Science in Norwich
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect 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 data science projects, especially those involving ML pipelines or analytics solutions. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to explain complex concepts in simple terms, just like you would with stakeholders in a real-world scenario.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Data Solution Designer Data Science in Norwich
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Data Solution Designer. Highlight your experience with data science, ML techniques, and any relevant projects that showcase your skills in designing scalable solutions.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've tackled complex business problems with data solutions, and don’t forget to mention your experience with stakeholder management!
Showcase Your Technical Skills: We want to see your technical prowess! Be sure to list your programming skills, familiarity with data platforms, and any cloud services you’ve worked with. Mentioning tools like AWS, Azure, or GCP can really make you stand out.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining the StudySmarter team!
How to prepare for a job interview at Stackstudio Digital Ltd.
✨Know Your Data Science Inside Out
Make sure you brush up on your data science concepts, especially supervised and unsupervised learning. Be ready to discuss specific techniques like regression, NLP, and clustering, as well as how they apply to real-world business problems.
✨Showcase Your Solution Design Skills
Prepare to talk about your experience in designing end-to-end data solutions. Highlight any projects where you defined architectures for analytics platforms or ML pipelines, and be ready to explain how you ensured scalability and security in your designs.
✨Communicate Like a Pro
Since this role involves bridging various teams, practice explaining complex data science concepts in simple terms. Think of examples where you've successfully communicated with stakeholders or facilitated decision-making in an Agile environment.
✨Familiarise Yourself with Tools and Technologies
Get comfortable with the tools mentioned in the job description, like Python, AWS, and MLOps frameworks. If you have experience with CI/CD pipelines or containerization, be prepared to discuss how you've used these in past projects.