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- Tasks: Work with unstructured data and integrate SQL databases and APIs.
- Company: Dynamic start-up focused on innovation and collaboration.
- Benefits: Flexible work options, competitive pay, and opportunities for growth.
- Why this job: Join a team that values your ideas and creativity in data science.
- Qualifications: Proficiency in programming languages and analytical tools.
- Other info: Remote work available; perfect for students seeking part-time roles.
The predicted salary is between 36000 - 60000 £ per year.
You need to have knowledge of various programming languages, such as Python, C/C++, SQL, and Java. Understanding analytical tools such as SAS, Hadoop, Spark, Hive, Pig, and R.
What You’ll Do:
- Adept at working with unstructured data
- Creating and executing functions
- Working with a front and backend developer to integrate SQL databases and APIs
Who You Are:
- We're looking for someone who is a go-getter
- We don't tell smart people how to do their jobs, we're hiring individuals who can take lead and provide ideas - As a start-up, we're always looking for ways to innovate.
- Able to manage 10 hours per week at minimum
DATA SCIENTIST in City of London employer: Arborimpact
Contact Detail:
Arborimpact Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land DATA SCIENTIST in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the industry on LinkedIn or attend local meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, SQL, or any analytical tools you've mastered. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common data science questions and coding challenges. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect with us directly.
We think you need these skills to ace DATA SCIENTIST in City of London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your knowledge of programming languages like Python, C/C++, SQL, and Java in your application. We want to see how you can use these skills to tackle unstructured data and create innovative solutions.
Be a Go-Getter: We love proactive individuals! In your written application, share examples of how you've taken the lead on projects or provided fresh ideas. Show us that you're not just waiting for instructions but are ready to innovate.
Tailor Your Application: Don’t send a generic application! Make it specific to the Data Scientist role by mentioning your experience with analytical tools like SAS, Hadoop, Spark, and R. This will help us see how you fit into our team.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Arborimpact
✨Brush Up on Your Programming Skills
Make sure you're comfortable with the programming languages mentioned in the job description, especially Python and SQL. Practise coding challenges or projects that showcase your ability to work with unstructured data, as this will demonstrate your hands-on experience.
✨Know Your Analytical Tools
Familiarise yourself with the analytical tools listed, like SAS, Hadoop, and Spark. Be prepared to discuss how you've used these tools in past projects or how you would approach a problem using them. This shows you’re not just familiar but also capable of applying your knowledge.
✨Showcase Your Innovative Side
Since the company values innovation, think of examples where you've taken the lead on a project or introduced a new idea. Be ready to share how you can contribute to their goals and help them innovate further.
✨Prepare for Collaboration Questions
As you'll be working closely with front and backend developers, prepare to discuss your experience in collaborative environments. Think of specific instances where teamwork led to successful outcomes, and be ready to explain how you can integrate SQL databases and APIs effectively.
