At a Glance
- Tasks: Lead diverse teams in data science and drive innovative projects.
- Company: Leading tech company focused on mission-centric solutions.
- Benefits: Competitive salary, bonus, 25 days holiday, and security clearance bonus.
- Other info: Opportunity for career growth in a secure, high-stakes environment.
- Why this job: Make a real impact in digital transformation and cutting-edge technology.
- Qualifications: Experience in data platforms, machine learning, and programming skills.
The predicted salary is between 60000 - 75000 £ per year.
Location: Gloucester (Full-time on-site)
Salary: Competitive DOE + 6% Bonus, 25 Days Holiday, Clearance Bonus
Security Clearance: Active Enhanced DV Clearance Required
Key Skills: Team Leadership, Customer Engagement, Data Science, DevOps, Cloud, Data Platforms
Who We Are? We are a leading technology company specialising in mission-centric solutions, designing and delivering cutting-edge software at scale for both customer infrastructure and public cloud environments. With a strong heritage of innovation and expertise in Data Science, Machine Learning, Agile Software Development, Security Assurance, and Cryptographic Technologies, we help organisations overcome complex data challenges and drive digital transformation.
What Will You Be Doing? As a Data Science Lead, you will be at the forefront of technically leading diverse teams across machine learning, cloud, data engineering, DevOps, and software engineering. You will:
- Lead customer engagements and manage stakeholder relationships
- Contribute to and prepare technical bids and proposals
- Collaborate with Delivery Management to drive successful project execution
- Apply practical data science skills through hands-on development
- Work on complex, technically challenging projects at the cutting edge of the industry
- Communicate effectively with internal and external stakeholders
What Are We Looking For? We are seeking individuals with experience in one or more of the following areas:
- Building and designing scalable data platforms
- Data visualisation and techniques for data extraction
- Machine learning and advanced data analytics
- Proficiency in programming languages such as Python, Java, or C++
- DevOps techniques and cloud technologies
- Agile methodologies and team leadership
- Strong stakeholder and customer engagement skills
This role offers a unique opportunity to work on impactful projects, lead innovative teams, and drive digital transformation in a secure, high-stakes environment.
Data Science Lead in Gloucester 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 Science Lead in Gloucester
✨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 Science Lead 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.
✨Apply Directly through Our Website
When you find a suitable opening like Data Science Lead at Stryker Corporation, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Science Lead in Gloucester
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.
