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- Tasks: Work with unstructured data and create innovative solutions alongside developers.
- Company: Exciting start-up focused on innovation and collaboration.
- Benefits: Flexible work options, competitive pay, and opportunities for growth.
- Why this job: Join a dynamic team and lead projects that make a real difference.
- Qualifications: Proficiency in programming languages and analytical tools.
- Other info: Part-time roles available with a minimum commitment of 10 hours per week.
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.
LOCATION: London, UK; Toronto, CA; Montreal, CA; New York, NY; Remote work available.
EMPLOYMENT TYPE: Contract, Permanent, Intern, Part-Time.
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 London employer: Arborimpact
Contact Detail:
Arborimpact Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land DATA SCIENTIST in London
✨Tip Number 1
Network like a pro! Reach out to fellow data enthusiasts on LinkedIn or at 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 brushing up on common data science questions and practical tasks. Practice coding challenges and be ready to discuss how you've tackled unstructured data in the past.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications from go-getters like you. Make sure to highlight your innovative ideas and how you can contribute to our team.
We think you need these skills to ace DATA SCIENTIST in 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 functions.
Be Creative: We love go-getters who can bring fresh ideas to the table. Don’t just list your experience; tell us how you’ve used analytical tools like SAS, Hadoop, or Spark to innovate in your past roles.
Tailor Your Application: Take a moment to customise your application for the Data Scientist role. Mention specific projects where you collaborated with developers to integrate SQL databases and APIs, as this is key for us.
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 don’t miss out on any important updates from 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 these languages, as you might be asked to solve a problem during the interview.
✨Familiarise Yourself with Analytical Tools
Get hands-on experience with tools like SAS, Hadoop, and Spark. If you can, prepare a few examples of how you've used these tools in past projects. This will show your potential employer that you not only know the tools but can also apply them effectively.
✨Prepare for Unstructured Data Questions
Since the role involves working with unstructured data, think about your previous experiences handling such data. Be ready to discuss specific challenges you faced and how you overcame them, as this will demonstrate your problem-solving skills.
✨Show Your Innovative Side
As a start-up, they value fresh ideas and innovation. Come prepared with a couple of suggestions on how you could improve their current processes or tools. This will highlight your proactive attitude and willingness to contribute from day one.
