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For Companies At a Glance
- Tasks: Dive into data, build models, and create visual insights that drive business strategies.
- Company: Join an innovative London-based organization focused on impactful data solutions.
- Benefits: Enjoy a hybrid working model, access to cutting-edge tools, and clear career progression.
- Why this job: Shape the future with your analytical skills in a creative and collaborative environment.
- Qualifications: Degree in STEM, proficiency in Python/SQL, and understanding of machine learning required.
- Other info: Ideal for recent grads eager to make a difference in data science.
The predicted salary is between 28000 - 36000 £ per year.
Job Title: Junior Data Scientist
Location: London, UK (Hybrid Working)
Salary: £35,000 – £45,000
Are you a recent graduate with a love for data and a drive to make an impact? Join an innovative London-based organisation where your analytical skills will directly shape business strategies across customer insights, operations, and beyond. We’re on the lookout for a Junior Data Scientist to bring fresh thinking, support exciting projects, and help turn complex data into clear, actionable insights.
About the Role:
- Analyse and Discover: Dive into vast datasets to uncover trends and patterns that inform strategic decisions.
- Model Building: Assist in developing machine learning models to forecast trends, enhance processes, and support future planning.
- Develop Smart Solutions: Build and refine algorithms and tools that boost efficiency and drive informed decision-making across our business.
- Collaborate and Contribute: Work closely with colleagues in product, operations, and technology to ensure data initiatives align with our business goals.
- Visualise Impact: Craft and maintain dashboards and data visualisations that communicate insights to both technical and non-technical teams.
What You’ll Need:
- A degree in a STEM field (e.g., Mathematics, Statistics, Computer Science, Engineering) from a Russell Group university.
- Proficiency in Python and SQL for data analysis, manipulation, and model building.
- A good understanding of machine learning principles, with experience in predictive modelling techniques.
- Familiarity with data visualisation tools (such as Tableau or Power BI) to present insights effectively.
- Strong analytical skills and the ability to communicate complex data findings in a straightforward way.
Desirable Skills:
- Experience or interest in advanced data science areas such as natural language processing (NLP), large language models (LLMs), or time series forecasting.
- Experience and strong understanbding of Artificial Intelligence concepts
- Skills in using libraries like Pandas and NumPy
- Knowledge of cloud platforms like AWS, Google Cloud Platform (GCP), or Azure
- Experience in computer vision and ML techniques
What’s in it for You?:
- Progression and Growth: Join a forward-thinking team with clear pathways for career development in data science.
- Creative Work Culture: Be part of a team that champions innovation, collaboration, and continuous learning.
- State-of-the-Art Tools: Access to the latest data science technologies to help you succeed and grow in your role.
- Hybrid working model in central London
To apply, please send over your most up-to-date CV, and I’ll arrange a convenient time to discuss your application, the role, and the company in more detail.
Intellect Group | Junior Data Scientist employer: Intellect Group
Contact Detail:
Intellect Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Intellect Group | Junior Data Scientist
✨Tip Number 1
Make sure to showcase your analytical skills during the interview. Prepare examples of how you've used data to solve problems or make decisions in your previous projects or studies.
✨Tip Number 2
Familiarize yourself with the latest trends in machine learning and data visualization tools. Being able to discuss recent advancements or projects you've worked on can set you apart from other candidates.
✨Tip Number 3
Network with professionals in the data science field, especially those who work at StudySmarter or similar companies. Engaging with them on platforms like LinkedIn can provide valuable insights and potentially lead to referrals.
✨Tip Number 4
Prepare to discuss how you would approach building a machine learning model or visualizing data insights. This shows your practical understanding and readiness to contribute to the team right away.
We think you need these skills to ace Intellect Group | Junior Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant skills and experiences that align with the job description. Emphasize your proficiency in Python, SQL, and any experience with machine learning or data visualization tools.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and your desire to make an impact. Mention specific projects or experiences that demonstrate your analytical skills and ability to work with complex datasets.
Showcase Relevant Projects: If you have completed any projects related to data analysis, machine learning, or data visualization, be sure to include them in your application. Describe your role, the tools you used, and the outcomes of these projects.
Prepare for the Interview: Be ready to discuss your technical skills and how they apply to the role. Prepare to explain your understanding of machine learning principles and be ready to solve a data-related problem during the interview.
How to prepare for a job interview at Intellect Group
✨Showcase Your Analytical Skills
Prepare to discuss specific projects or coursework where you analyzed data. Be ready to explain your thought process and the tools you used, especially Python and SQL.
✨Demonstrate Machine Learning Knowledge
Brush up on machine learning principles and be prepared to discuss any relevant experience you have with predictive modeling techniques. Highlight any projects where you've built models or worked with algorithms.
✨Communicate Clearly
Practice explaining complex data findings in simple terms. The ability to communicate insights effectively to both technical and non-technical audiences is crucial for this role.
✨Familiarize Yourself with Data Visualization Tools
If you have experience with tools like Tableau or Power BI, be ready to discuss how you've used them to create dashboards or visualizations. If not, consider exploring these tools before the interview.
