At a Glance
- Tasks: Use data to deliver insights and drive data-led solutions.
- Company: Exciting tech company in London with a hybrid work culture.
- Benefits: Competitive salary, career growth, and flexible working options.
- Other info: Collaborative environment with opportunities for professional development.
- Why this job: Join a dynamic team and make an impact with your data skills.
- Qualifications: 2 years of data science experience and hands-on Workday knowledge.
The predicted salary is between 50000 - 60000 £ per year.
Workday Data Scientist | London (Hybrid)
Salary
- £50,000-£60,000 |
- Permanent
- We're looking for a talented
Workday Data Scientist with around 2 years of experience to join an exciting and innovative tech company in London.
You’ll work with data to deliver actionable insights, support business decision-making, and help drive data-led solutions across the organisation.
What we are looking for
- Around 2 years of experience in data science, analytics, or a related field.
Essential: Hands-on Workday experience.
- Strong analytical and problem-solving skills.
- Ability to communicate complex data insights clearly.
- A proactive, collaborative approach and enthusiasm for technology.
What we offer
- Competitive salary of £50,000-£60,000.
- Permanent position based in London.
- Hybrid working environment.
- Opportunity to grow your career within an exciting tech company.
- #J-18808-Ljbffr
Workday Data Scientist in London employer: Annapurna HR Ltd
Annapurna HR Ltd is an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of London. With a strong focus on employee growth, we provide ample opportunities for professional development and the chance to make a significant impact on organisational success through our strategic reward and performance programmes. Our hybrid work model ensures flexibility while maintaining a supportive environment that values each team member's contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Workday Data Scientist in London
✨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 Annapurna HR Ltd!
✨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 Workday Data Scientist at Annapurna HR Ltd.
✨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 Annapurna HR Ltd.
✨Apply Directly through Our Website
When you find a suitable opening like Workday Data Scientist at Annapurna HR Ltd, 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 Workday Data Scientist in 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 Annapurna HR Ltd, 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 Annapurna HR Ltd. 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 Annapurna HR Ltd
✨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 Annapurna HR Ltd!
✨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.
