At a Glance
- Tasks: Develop and deploy machine learning models while analysing diverse data sources.
- Company: Leading tech company delivering transformational AI solutions.
- Benefits: Salary up to £45k, hybrid work, and excellent career growth opportunities.
- Other info: Work closely with senior colleagues and contribute to impactful projects.
- Why this job: Join a collaborative team and enhance your data science skills in a dynamic environment.
- Qualifications: Proficiency in Python or R, and familiarity with machine learning libraries.
The predicted salary is between 37000 - 45000 £ per year.
Requirements
- Proficiency in Python or R for data analysis and modelling.
- Hands-on experience with machine learning libraries such as scikit-learn, Tensor Flow, or Py Torch.
- Strong understanding of data wrangling, statistics, and exploratory data analysis.
- Excellent collaboration and communication skills.
- Familiarity with data visualisation tools such as matplotlib, seaborn, Tableau, or Power BI.
- Familiarity with cloud platforms such as AWS, Azure, or GCP, and data engineering practices.
- Knowledge of SQL and database querying.
- Understanding of model deployment techniques and MLOps.
- Awareness of AI ethics, fairness, and data privacy.
- A relevant BSc or MSc in Data Science, Computer Science, Statistics, or a related field would be beneficial.
Responsibilities
- Develop, test, and deploy machine learning models and analytics solutions.
- Clean, process, and analyse structured and unstructured data from diverse sources.
- Conduct exploratory data analysis to identify meaningful patterns and insights.
- Collaborate with senior colleagues and stakeholders to understand business challenges and define requirements.
- Create clear and effective documentation and visualisations for both technical and non-technical audiences.
- Contribute to improving data science workflows through participation in code reviews and best practice development.
- Monitor and maintain model performance, including retraining and validation.
- Technologies
- AI
- AWS
- Azure
- Cloud
- GCP
- Machine Learning
- Power BI
- Py Torch
- Python
- SQL
- Tableau
- Tensor Flow
- More
We are a leading technology and services business at the forefront of delivering transformational AI solutions.
This is a hybrid role based in our Derby offices, and we offer a salary of up to £45k per annum plus excellent benefits.
You will work closely with Senior Data Scientists, engineers, and client teams in a collaborative, client-focused environment, with a strong opportunity to grow your foundational data science skills.
- last updated 30 week of 2026
- #J-18808-Ljbffr
Data Scientist in Chesterfield employer: Stryker Corporation
Stryker Corporation is an exceptional employer that fosters a dynamic and inclusive work culture, offering employees the chance to thrive in a remote setting while being part of a leading medical communications team. With a strong emphasis on professional development and growth opportunities, employees are encouraged to enhance their skills and advance their careers, all while contributing to meaningful projects that impact healthcare globally.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in Chesterfield
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Stryker Corporation!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Scientist at Stryker Corporation.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Stryker Corporation.
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We think you need these skills to ace Data Scientist in Chesterfield
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 Stryker Corporation, 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 Stryker Corporation. 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 Stryker Corporation
✨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 Stryker Corporation!
✨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.
