At a Glance
- Tasks: Design and deliver data science solutions to tackle real-world business challenges.
- Company: Join a growing data science team in a dynamic London-based company.
- Benefits: Gain hands-on experience, learn from experts, and work on impactful projects.
- Other info: Collaborative environment with opportunities for professional growth and varied projects.
- Why this job: Make a difference by solving real data problems and enhancing your skills.
- Qualifications: 2-3 years' experience in Data Science, strong Python skills, and a curious mindset.
The predicted salary is between 35000 - 45000 £ per year.
We're looking for a Data Scientist with circa 2-3 years' experience to join a growing data science team. This is a hands-on role where you'll apply your skills to real-world problems, working alongside experienced practitioners and contributing to meaningful, production-focused work.
What you’ll be doing:
- Designing and delivering data science solutions to solve business problems
- Applying statistical and analytical techniques to explore data and test hypotheses
- Writing and maintaining Python code for data processing, analysis and modelling
- Working with real-world datasets (cleaning, validation and exploration)
- Contributing to data pipelines and supporting data engineering tasks
- Collaborating with senior data scientists and engineers across multiple projects
- Communicating insights clearly to technical and non-technical stakeholders
- Supporting responsible, ethical and compliant use of data
What we’re looking for:
Essential:
- ~2-3 years' experience in Data Science or a similar analytical role
- Strong Python skills and experience working in shared codebases
- Experience with data science / ML frameworks
- Solid understanding of data preparation, analysis and modelling
- Ability to translate data insights into practical outcomes
- Strong communication and collaboration skills
- Curious mindset with a willingness to learn and challenge assumptions
Nice to have:
- Experience with Docker / containerised environments
- Understanding of data engineering workflows
- Experience working in product or engineering-led teams
Why join?
- Work on real, impactful data problems (not just experimentation)
- Learn from experienced data scientists in a collaborative environment
- Exposure to varied projects and modern data practices.
If you're an early-career Data Scientist looking to develop your skills on meaningful work, apply now.
Associate Data Scientist in London employer: Energy Jobline ZR
Join a dynamic and innovative data science team in London, where you'll have the opportunity to work on impactful projects that make a real difference. Our collaborative work culture fosters continuous learning and growth, allowing you to develop your skills alongside experienced professionals while contributing to meaningful solutions. With a focus on ethical data use and a commitment to employee development, we offer a rewarding environment for early-career Data Scientists eager to make their mark.
StudySmarter Expert Advice🤫
We think this is how you could land Associate Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to current employees at companies you're interested in, especially those in data science roles. A friendly chat can give you insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects. Use GitHub to share your Python code and analyses. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Associate Data Scientist in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your relevant experience in data science, especially your Python skills and any work with data science frameworks. We want to see how your background aligns with the role, so don’t be shy about showcasing your projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're excited about the Associate Data Scientist position at StudySmarter. Share specific examples of how you've tackled real-world problems using data, and let us know what you can bring to our team.
Show Off Your Communication Skills:Since you'll be communicating insights to both technical and non-technical stakeholders, it's important to demonstrate your ability to convey complex ideas clearly. In your application, include examples of how you've successfully communicated data findings in the past.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to attach all your documents in one go. Plus, we love seeing applications come through our own platform!
How to prepare for a job interview at Energy Jobline ZR
✨Know Your Python Inside Out
Since strong Python skills are essential for this role, make sure you brush up on your coding abilities. Be prepared to discuss your experience with Python in detail, and maybe even solve a coding challenge during the interview.
✨Showcase Your Data Science Projects
Bring examples of your previous work to the table. Whether it's a project where you applied statistical techniques or a data pipeline you contributed to, having tangible examples will help demonstrate your hands-on experience and problem-solving skills.
✨Communicate Clearly and Confidently
You’ll need to communicate insights to both technical and non-technical stakeholders. Practice explaining complex concepts in simple terms, and be ready to discuss how you've done this in past roles or projects.
✨Embrace Curiosity and Learning
The job description mentions a curious mindset, so come prepared to discuss how you stay updated with industry trends and new technologies. Share examples of how you've challenged assumptions in your work and what you've learned from those experiences.
