At a Glance
- Tasks: Design and deliver data models to uncover revenue opportunities in global education markets.
- Company: Join a dynamic software business with a focus on innovation and growth.
- Benefits: Competitive salary, hybrid/remote work options, and a chance to shape commercial strategies.
- Other info: Collaborate across teams in a fast-paced environment with excellent career growth potential.
- Why this job: Make a real impact by translating data into strategic insights for senior leadership.
- Qualifications: 5+ years of SQL expertise and strong Python skills required.
The predicted salary is between 63000 - 77000 £ per year.
Requirements
- 5+ years of advanced SQL expertise, with a strong track record in querying, cleansing, integrating, and analysing complex datasets at scale, ideally within Databricks environments.
- Strong Python capabilities for data manipulation, statistical analysis, and predictive modelling.
- Demonstrated success in developing, validating, and continuously optimising data science models that directly contribute to revenue growth and commercial performance.
- Experience with propensity modelling and related predictive analytics techniques is highly advantageous.
- Exceptional ability to translate complex analytical findings into clear, compelling insights for senior stakeholders and cross‑functional audiences.
- Strong analytical thinking and problem‑solving skills, with proven success operating in fast‑paced, high‑growth environments with evolving business priorities.
Responsibilities
- Design and deliver a sophisticated EDU r SAM (remaining sales addressable market) model to quantify untapped revenue opportunities across global education markets.
- Partner cross‑functionally with key stakeholders to deeply understand the complexities of the education sector, including diverse subscription models, institutional procurement structures, and consortium‑based purchasing dynamics.
- Collaborate with Data Engineering teams to integrate and operationalise third‑party datasets, such as student population and institutional metrics, to create rich, actionable customer intelligence profiles.
- Work closely with the Product Marketing and Sales Strategy teams to align analytical outputs with go‑to‑market strategies, pricing frameworks, and commercial objectives at the product‑offering level.
- Design, build, and productionise scalable end‑to‑end data pipelines incorporating normalised customer attributes, behavioural signals, and finalised r SAM outputs.
- Combine the EDU r SAM with advanced propensity modelling techniques to optimise education‑focused sales motions and accelerate customer growth opportunities.
- Deliver high‑impact strategic insights on market opportunity sizing and customer propensity trends to senior leadership, enabling data‑driven decision‑making and long‑term commercial planning.
Technologies
- Databricks
- Support
- Marketing
- Python
- SQL
More
We are hiring a Data Science Engineer for a 6-month contract within our software business.
The role is based in Reading with hybrid or remote working options.
You will work across data engineering, product marketing, and sales strategy to shape commercial decision‑making and support growth in global education markets.
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Data Science Engineer in Reading 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 Engineer in Reading
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We think you need these skills to ace Data Science Engineer in Reading
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.
