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- Tasks: Join a team to develop and deliver innovative data science products using cutting-edge technologies.
- Company: Market-leading digital content agency and media network with a focus on growth.
- Benefits: Gain hands-on experience, competitive salary, and opportunities for professional development.
- Why this job: Make a real impact by translating data insights into actionable recommendations.
- Qualifications: Degree in Data Science or related field with solid skills in Python and SQL.
- Other info: Collaborative environment with excellent career growth opportunities.
The predicted salary is between 28800 - 48000 £ per year.
As a Junior Data Scientist, you will contribute to the development and delivery of data science products, working alongside senior data scientists. You will be involved in implementing and refining supervised learning, bandit algorithms, and generative AI models, as well as supporting experimentation and analysis. You will write production-quality Python code, collaborate on cloud-based deployments, and help translate data insights into actionable recommendations that drive business impact. This role provides hands-on experience while allowing you to take ownership of well-scoped components within larger projects. This is a fantastic opportunity for an early-career data scientist with an analytical background to join and grow within a market leading digital content agency and media network.
CORE RESPONSIBILITIES
- Model Development: Assist in developing, testing, and improving machine learning models, with a focus on bandit algorithms and experimentation frameworks.
- Experimentation: Support the setup, execution, and analysis of A/B tests and online experiments to evaluate the impact of our generative AI-driven products.
- Production Support: Assist with deploying and monitoring models and experiments on GCP (Airflow, Docker, Cloud Run, SQL databases, etc.), following existing patterns and CI/CD workflows.
- Data Analysis: Perform exploratory data analysis, data validation, and basic feature engineering to support modelling and experimentation efforts.
- Collaboration: Work closely with senior data scientists, engineers, and product stakeholders to understand business problems and translate them into actionable tasks.
SKILLS REQUIRED FOR THIS ROLE
- Essential Functional/Job-specific skills
- Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, Statistics, or a related field with 1+ years of relevant work experience.
- Solid foundation in SQL and Python, including experience with common libraries such as Pandas, NumPy, Scikit-learn, Matplotlib, and Statsmodels.
- Basic understanding of supervised learning, experimentation, causal inference, and concepts in reinforcement learning and multi-armed bandits.
- Foundational knowledge of probability, statistics, and linear algebra.
- Working knowledge of Git, including version control and collaboration through pull requests and code reviews.
- Ability to write good documentation and ability to explain analysis results clearly to technical and non-technical audiences.
- Familiarity with deploying machine learning models in production cloud environments (GCP or AWS).
- Essential core skills
- Communication
- Collaboration
- Organisation
- Delivering Results
- Solutions Focused
- Adaptability
Junior Data Scientist in London employer: TechBiz Global GmbH
Contact Detail:
TechBiz Global GmbH Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the data science field on LinkedIn or at local meetups. We can’t stress enough how valuable personal connections can be in landing that Junior Data Scientist role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and machine learning. We love seeing practical applications of your knowledge, so make sure to highlight any A/B tests or models you've worked on.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. We recommend practicing coding challenges and discussing your past projects. Be ready to explain your thought process and how you approach problem-solving in data science.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for passionate individuals who want to grow with us in the exciting world of data science.
We think you need these skills to ace Junior Data Scientist in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that match the Junior Data Scientist role. We want to see your Python prowess and any projects you've worked on that involve machine learning or data analysis.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how you can contribute to our team. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Projects: If you've got any personal or academic projects, don’t hold back! Include links to your GitHub or any relevant portfolios. We’re keen to see your coding skills and how you approach problem-solving in real-world scenarios.
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 proactive and keen to join our team!
How to prepare for a job interview at TechBiz Global GmbH
✨Know Your Tech Stack
Make sure you brush up on your Python and SQL skills before the interview. Familiarise yourself with libraries like Pandas, NumPy, and Scikit-learn, as these will likely come up in discussions. Being able to demonstrate your coding abilities and understanding of data manipulation will impress the interviewers.
✨Understand the Role
Dive deep into the job description and understand the core responsibilities. Be prepared to discuss how you can contribute to model development and experimentation. Think of examples from your past experiences where you've used supervised learning or worked on A/B tests, as this will show your practical knowledge.
✨Prepare for Collaboration Questions
Since this role involves working closely with senior data scientists and other stakeholders, be ready to talk about your teamwork experiences. Have a few examples in mind that showcase your communication skills and how you’ve successfully collaborated on projects in the past.
✨Show Your Passion for Data Science
Let your enthusiasm for data science shine through during the interview. Discuss any personal projects or relevant coursework that demonstrates your commitment to the field. This will help convey your eagerness to learn and grow within the company, which is something we value at StudySmarter.
