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- Tasks: Join us as a Junior Data Scientist, working on diverse client projects and data solutions.
- Company: We're a fast-growing tech consultancy in Brighton, driving innovation through data.
- Benefits: Enjoy a supportive team, ongoing training, and exciting social events.
- Why this job: This role offers hands-on experience, collaboration, and the chance to make a real impact.
- Qualifications: A degree in a related field and skills in Python, SQL, and data visualisation are essential.
The predicted salary is between 28800 - 48000 £ per year.
Location: Brighton, UK, on-site
Type: Full-Time
Salary: Competitive
About Us
We’re a fast-growing tech consultancy based in Brighton, helping clients across industries unlock the power of data to drive innovation and growth. From cutting-edge startups to established enterprises, we work with a wide range of organisations to solve complex problems using data-driven solutions.
We’re now looking for a passionate and curious Junior Data Scientist to join our dynamic team and grow with us.
What You’ll Do
- Collecting, cleaning, and preprocessing data from various sources
- Conducting exploratory data analysis to uncover trends, patterns, and insights
- Assisting in the development of machine learning models and statistical analyses
- Presenting findings through reports, dashboards, and visualisations
- Collaborating with cross-functional teams to deliver actionable business insights
- Contributing to the continuous improvement of internal tools and processes
What We’re Looking For
We don’t expect you to know everything - we’re looking for someone eager to learn and grow. The ideal candidate will have:
- A degree in Data Science, Computer Science, Mathematics, Statistics, or a related field
- Proficiency in Python and/or R for data analysis
- Experience with SQL and data manipulation
- A solid understanding of basic statistics and machine learning concepts
- Familiarity with data visualisation tools (e.g., Power BI, Tableau, or Python libraries like Matplotlib/Seaborn)
- Strong communication and teamwork skills
- A proactive attitude and enthusiasm for solving real-world problems with data
What We Offer
- A supportive and collaborative team environment
- Ongoing training, mentorship, and career development
- Opportunities to work on exciting and impactful projects across industries
- Social events
Junior Data Scientist employer: FLTalent
Contact Detail:
FLTalent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Data Scientist
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as Python, R, SQL, and data visualisation tools like Power BI or Tableau. Having hands-on experience or projects showcasing these skills can set you apart during the interview process.
✨Tip Number 2
Engage with the data science community by attending local meetups or online webinars. Networking with professionals in the field can provide valuable insights and potentially lead to referrals for the Junior Data Scientist position at StudySmarter.
✨Tip Number 3
Prepare to discuss your problem-solving approach during interviews. Be ready to share examples of how you've tackled data-related challenges in the past, even if they were part of your studies or personal projects. This demonstrates your proactive attitude and enthusiasm for the role.
✨Tip Number 4
Research StudySmarter's recent projects and case studies to understand our work better. Being able to reference specific projects during your interview will show your genuine interest in the company and how you can contribute to our mission.
We think you need these skills to ace Junior Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant skills and experiences that align with the Junior Data Scientist role. Emphasise your proficiency in Python, R, SQL, and any data visualisation tools you are familiar with.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and your eagerness to learn. Mention specific projects or experiences that demonstrate your analytical skills and teamwork abilities.
Showcase Relevant Projects: If you have worked on any data-related projects, include them in your application. Describe your role, the tools you used, and the outcomes of the projects to illustrate your hands-on experience.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at FLTalent
✨Show Your Passion for Data
Make sure to express your enthusiasm for data science during the interview. Share specific examples of projects or experiences that sparked your interest in the field, and demonstrate your eagerness to learn and grow within the role.
✨Brush Up on Technical Skills
Since the role requires proficiency in Python, R, and SQL, be prepared to discuss your experience with these tools. You might even want to practice coding challenges or data manipulation tasks to showcase your skills effectively.
✨Prepare for Problem-Solving Questions
Expect questions that assess your analytical thinking and problem-solving abilities. Be ready to walk through your thought process when tackling a data-related challenge, and consider using the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Demonstrate Teamwork and Communication Skills
As collaboration is key in this role, think of examples where you've successfully worked in a team. Highlight your communication skills by discussing how you’ve presented findings or insights to non-technical stakeholders in the past.
