At a Glance
- Tasks: Leverage data to drive impactful decisions and solve complex business challenges.
- Company: Join a thriving global financial services partner with a focus on innovation.
- Benefits: Enjoy a performance bonus, generous leave, sabbaticals, health plans, and more.
- Other info: Collaborative culture with excellent career growth opportunities and a focus on diversity.
- Why this job: Make a real difference in a dynamic environment while working with cutting-edge technologies.
- Qualifications: Experience in data science or a strong desire to learn; proficiency in Python, R, SQL.
The predicted salary is between 54000 - 66000 £ per year.
- Data Scientist - Financial Services - London (hybrid / remote)
- Overview
Are you passionate about leveraging data to drive impactful decisions?
Do you thrive in a collaborative and innovative environment?
We are seeking a dynamic and skilled Data Scientist to join our forward-thinking team.
This is your opportunity to work with cutting-edge technologies, solve complex business challenges, and make a real difference in a company that values creativity, diversity, and inclusion.
#Team Candour are working exclusively with a thriving, global financial services partner as they embark on the development of a dedicated new Data hub to support their global operations from their London offices.
The Data Scientist openings are part of the first phase of expansion and the start of what will be a remarkable transformation journey.
As well as a game changing career opportunity, this organisation offer one of the most comprehensive benefits we've seen here including:
- Performance-related bonus based on company & personal performance
- 25 days of annual leave plus two additional company days.
- A four-week paid sabbatical after every five years of service.
- Private health & dental plans
- Financial support for gym memberships.
- Outstanding pension contributions
- 4x life insurance coverage.
Responsibilities
As a Data Scientist, you will
- Develop innovative approaches to business challenges by leveraging industry standards, emerging methodologies, and empirical research.
- Design and implement end-to-end data solutions, working with diverse datasets (internal and third-party) to derive actionable insights.
- Apply advanced machine learning and statistical modeling techniques to solve complex problems.
- Collaborate with data scientists, data engineers, and pricing teams to enhance analytics practices across the organization.
- Contribute to the adoption of data science techniques in underwriting processes, particularly within the Major Property team.
Qualifications
We are looking for a professional with
- Experience in data science, advanced analytics, or a strong desire to learn.
- A proven track record of developing predictive and prescriptive analytics to inform business decisions.
- Proficiency in analytical tools and programming languages such as Python, R, and SQL.
- A keen interest in machine learning techniques, from linear models to deep learning.
- A degree in a STEM field (preferred but not essential).
- Experience in finance, insurance, or e-commerce (advantageous but not required).
- Day-to-Day
Your typical day will involve
- Collaborating with cross-functional teams to understand business challenges and design data-driven solutions.
- Analyzing large and complex datasets to uncover trends and insights.
- Building and refining predictive models to support decision-making processes.
- Sharing your findings with stakeholders in a clear and impactful way.
- Staying up-to-date with the latest advancements in data science and applying them to real-world problems.
- #J-18808-Ljbffr
Data Scientist - London 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 - London
✨Get Involved in Data Science Meetups
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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 - London
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.
