At a Glance
- Tasks: Shape data systems from scratch and work on automation and data transformation.
- Company: Exciting media tech company with a focus on innovation.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Supportive team culture with plenty of room to learn and grow.
- Why this job: Make a real impact in a fast-paced environment while developing your data skills.
- Qualifications: 2 years' experience in data science or strong academic background with hands-on project experience.
The predicted salary is between 43200 - 72000 £ per year.
Salary: £37,000 - 45,000 per year
Requirements
- Proficiency in Python or R for data analysis and modelling.
- Hands‑on experience with machine learning libraries such as scikit‑learn, TensorFlow, or PyTorch.
- Strong understanding of data wrangling, statistics, and exploratory data analysis.
- Excellent collaboration and communication skills.
- Familiarity with data visualisation tools such as matplotlib, seaborn, Tableau, or Power BI.
- Familiarity with cloud platforms such as AWS, Azure, or GCP, and data engineering practices.
- Knowledge of SQL and database querying.
- Understanding of model deployment techniques and MLOps.
- Awareness of AI ethics, fairness, and data privacy.
- A BSc or MSc in Data Science, Computer Science, Statistics, or a related field would be beneficial.
Responsibilities
- Develop, test, and deploy machine learning models and analytics solutions.
- Clean, process, and analyse structured and unstructured data from diverse sources.
- Conduct exploratory data analysis to identify meaningful patterns and insights.
- Collaborate with senior colleagues and stakeholders to understand business challenges and define requirements.
- Create clear and effective documentation and visualisations for both technical and non-technical audiences.
- Contribute to improving data science workflows through code reviews and best practice development.
- Monitor and maintain model performance, including retraining and validation.
Technologies
- AI
- AWS
- Azure
- Cloud
- GCP
- Machine Learning
- Power BI
- PyTorch
- Python
- SQL
- Tableau
- TensorFlow
More
We are a leading technology and services business at the forefront of delivering transformational AI solutions. This Data Scientist role is based in our Derby offices on a hybrid basis, and offers the opportunity to work closely with Senior Data Scientists, engineers, and client teams in a collaborative, client‑focused environment. We offer a salary of up to £45k per annum, plus excellent benefits, and a strong opportunity to grow foundational data science skills while tackling real-world business challenges.
Data Scientist employer: Investigo
Investigo is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for professionals looking to make a significant impact in the financial sector. Located in Coventry, employees benefit from a competitive salary package, including performance bonuses and cash allowances, alongside ample opportunities for professional growth and development in a forward-thinking environment. Join us to be part of a team that values your expertise and encourages you to drive meaningful change through automation and technology.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Network like a pro! Reach out to people in the industry on LinkedIn or at local meetups. You never know who might have a lead on that perfect Junior Data Scientist role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving automation and data transformation. This will give you an edge when chatting with potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. Be ready to tackle real-world data challenges and demonstrate your curiosity about applying data in innovative ways.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Junior Data Scientist role. Highlight any relevant projects or coursework that showcase your problem-solving mindset and curiosity for data.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're excited about this opportunity. Share your passion for data science and how you see yourself contributing to our team and shaping systems from scratch.
Showcase Your Projects:If you've worked on any hands-on data projects, make sure to include them in your application. We love seeing practical examples of your work, especially those that demonstrate your ability to tackle real-world challenges.
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 this exciting opportunity in the media tech space!
How to prepare for a job interview at Investigo
✨Know Your Data Tools
Familiarise yourself with the modern tools and technologies mentioned in the job description. Brush up on your knowledge of data extraction, transformation, and automation techniques. Being able to discuss specific tools you've used or are eager to learn will show your genuine interest and readiness for the role.
✨Showcase Your Problem-Solving Skills
Prepare examples from your past experiences where you tackled real-world data challenges. Whether it's a project from your studies or a previous job, be ready to explain your thought process and how you arrived at a solution. This will highlight your strong problem-solving mindset.
✨Demonstrate Your Curiosity
Express your enthusiasm for learning and growing in the field of data science. Share any recent projects or self-initiated learning you've undertaken, especially those related to LLMs or data workflows. This will convey your genuine curiosity and commitment to the role.
✨Prepare Questions for Them
Think of insightful questions to ask during the interview about the team dynamics, the tech stack they use, or the specific challenges they face. This not only shows your interest in the position but also helps you gauge if the company is the right fit for you.
