At a Glance
- Tasks: Design and deploy innovative machine learning models to tackle real-world business challenges.
- Company: Join a growing, data-driven organisation focused on analytics and machine learning.
- Benefits: Enjoy bonuses, private healthcare, hybrid working, and a learning budget.
- Other info: Great career progression opportunities in a dynamic, supportive workplace.
- Why this job: Make a tangible impact with cutting-edge AI solutions in a collaborative environment.
- Qualifications: Strong programming skills in Python and experience with end-to-end data science solutions.
The predicted salary is between 63000 - 77000 £ per year.
We are a growing, data-driven organisation where analytics and machine learning are central to improving customer engagement, operational efficiency, and commercial performance. As we continue to invest in our data capability, we are looking to appoint a Data Scientist to help develop innovative, production-ready machine learning and AI solutions.
We are looking to hire a commercially minded Data Scientist to take ownership of the complete data science lifecycle, from problem definition and experimentation through to production deployment. You will work with large-scale transactional and behavioural datasets, partnering with stakeholders across the business to deliver measurable commercial impact through data.
The Data Scientist MUST have:
- Commercial experience delivering end-to-end Data Science and Machine Learning solutions
- Strong programming skills in Python, including pandas, NumPy, and Scikit-learn
- Excellent SQL skills and experience manipulating large datasets
- Experience building predictive models including classification, regression, forecasting, or anomaly detection
- Strong understanding of statistics, hypothesis testing, and experimental design
- Experience designing and analysing A/B tests and controlled experiments
- Experience deploying machine learning models into production environments
- Excellent stakeholder management and communication skills with the ability to explain technical concepts to non-technical audiences
The Data Scientist will ideally have the following attributes:
- Experience working with cloud platforms such as Azure, AWS, or GCP
- Experience building reproducible machine learning pipelines using Git and modern software development practices
- Knowledge of data visualisation tools such as Power BI, Tableau, or similar
- Experience with Azure Machine Learning or equivalent cloud ML platforms would be beneficial
- Experience developing time-series forecasting models
- Knowledge of feature engineering techniques for large-scale transactional datasets
- Familiarity with MLOps, model monitoring, and production AI systems
- Exposure to Generative AI, Large Language Models (LLMs), or Agentic AI applications would be advantageous
- Experience with OCR, document processing, or intelligent automation would be beneficial
- Knowledge of tools such as Streamlit, MLflow, or similar would be advantageous
- A proactive mindset with a passion for solving complex business problems using data
The Data Scientist role will involve:
- Designing, developing, and deploying production-ready machine learning models to solve commercial challenges
- Building classification, segmentation, forecasting, anomaly detection, and predictive models
- Designing, executing, and analysing A/B tests and statistical experiments
- Engineering robust feature pipelines from large transactional and behavioural datasets
- Taking models from prototype through validation, deployment, monitoring, and optimisation
- Developing reusable, version-controlled machine learning pipelines following engineering best practices
- Creating dashboards and visualisations to communicate analytical findings to business stakeholders
- Collaborating with commercial, product, and operational teams to identify data-driven opportunities
- Contributing to the development of AI-enabled products, including Generative AI applications where appropriate
Data Scientist in Norwich employer: Halian | Managed Services, Recruitment Agency & Contract Staffing
As a forward-thinking, data-driven organisation, we pride ourselves on fostering a dynamic work culture that prioritises innovation and collaboration. Our commitment to employee growth is evident through our comprehensive benefits package, including a learning and development budget, hybrid working options, and clear career progression pathways. Join us in a role where your expertise in data science will not only drive commercial success but also contribute to the development of cutting-edge AI solutions in a supportive and flexible environment.
Contact Details:
Halian | Managed Services, Recruitment Agency & Contract Staffing Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in Norwich
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We think you need these skills to ace Data Scientist in Norwich
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Halian | Managed Services, Recruitment Agency & Contract Staffing, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Halian | Managed Services, Recruitment Agency & Contract Staffing. 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 Halian | Managed Services, Recruitment Agency & Contract Staffing
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨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 Halian | Managed Services, Recruitment Agency & Contract Staffing!
✨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.
