At a Glance
- Tasks: Develop and deploy machine learning solutions that drive business decisions and enhance customer experiences.
- Company: Join a forward-thinking organisation focused on data science and innovation.
- Benefits: Competitive pay, hybrid work model, and opportunities for professional growth.
- Other info: Collaborate with experts and shape data-driven strategies in a dynamic environment.
- Why this job: Tackle real-world challenges and make a measurable impact with your data skills.
- Qualifications: Experience in machine learning, Python, and strong analytical skills required.
The predicted salary is between 63000 - 77000 £ per year.
Data Scientist
Job Title
Data Scientist Type
Fix Term Contract Work Pattern
Hybrid (2-3 days per week in office Sector
- Data Science | Machine Learning | Advanced Analytics
- Duration: 06 Months
About the Role
We are seeking a talented
Data Scientist to develop and deploy machine learning solutions that directly influence business decisions, enhance customer experiences, and improve operational efficiency.
You will be responsible for translating complex business challenges into scalable data science solutions, building and deploying robust machine learning models, and delivering measurable business impact.
Working closely with Machine Learning Engineers, Software Engineers, Product Teams, and Business Stakeholders, you will help develop production-ready solutions that drive innovation and performance across the organisation.
This is an excellent opportunity for a data professional who combines strong technical expertise with commercial awareness and a passion for solving real-world business problems through data and advanced analytics.
Key Responsibilities
- Design, develop, and deploy machine learning models to solve complex business challenges.
- Translate business requirements into practical data science solutions.
- Build scalable data pipelines and end-to-end machine learning workflows.
- Conduct experimentation, model evaluation, and performance analysis using both statistical and business success metrics.
- Work with large-scale datasets in distributed computing environments.
- Collaborate with Machine Learning Engineers and Software Engineers to productionise models and ensure operational excellence.
- Identify opportunities to improve business processes through advanced analytics and machine learning techniques.
- Communicate technical findings and recommendations effectively to both technical and non-technical stakeholders.
- Stay current with emerging trends, tools, and methodologies within Data Science and Machine Learning.
- Contribute to internal knowledge sharing initiatives and promote best practices across the wider data community.
- Support the development of innovative solutions that deliver measurable business value.
- Required Skills & Experience
- Strong foundation in Machine Learning, Statistics, and Data Science methodologies.
- Extensive experience developing and implementing machine learning models using Python.
- Proven experience working with large-scale datasets and distributed computing frameworks.
- Experience taking machine learning solutions from concept through to production deployment.
• Strong software engineering practices, including
- Version control (Git)
- Code testing and validation
- Writing maintainable and reusable code
- Hands-on experience developing, tuning, and deploying machine learning models using frameworks and libraries such as:
- Scikit-learn
- XGBoost
- Tensor Flow
- Py Torch
- Equivalent machine learning frameworks
- Strong analytical and problem-solving capabilities with a scientific and data-driven mindset.
- Ability to translate complex technical concepts into clear business recommendations.
- Excellent communication and stakeholder management skills.
- Preferred Qualifications
- Master's degree, Ph D, or equivalent qualification in a quantitative discipline such as:
- Mathematics
- Computer Science
- Statistics
- Engineering
- Physics
- Related fields
Equivalent commercial experience within a Data Science role will also be considered.
- Personal Attributes
- Intellectual curiosity and a passion for continuous learning.
- Critical thinking and evidence-based decision making.
- Strong collaboration and teamwork skills.
- Commercial awareness and a focus on delivering business impact.
- Proactive approach to innovation and continuous improvement.
- Commitment to knowledge sharing and contributing to a high-performing team culture.
Why Apply?
- Work on large-scale, real-world machine learning and analytics challenges.
- Develop production-grade data science solutions with measurable impact.
- Collaborate with experienced engineers, data scientists, and business leaders.
- Gain exposure to diverse business domains and complex datasets.
- Play a key role in shaping data-driven decision-making across the organisation.
- #J-18808-Ljbffr
Data Scientist in Welwyn Garden City 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 Welwyn Garden City
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Stryker Corporation before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Stryker Corporation.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Stryker Corporation.
We think you need these skills to ace Data Scientist in Welwyn Garden City
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Stryker Corporation, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Stryker Corporation, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Stryker Corporation’s attention and show the tangible impact of your work.
How to prepare for a job interview at Stryker Corporation
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Stryker Corporation.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Stryker Corporation.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Stryker Corporation.
