At a Glance
- Tasks: Develop and deploy machine learning models to solve real-world business challenges.
- Company: Join a leading tech company at the forefront of AI solutions.
- Benefits: Competitive salary up to £45k, excellent benefits, and hybrid working.
- Other info: Exciting opportunity for career growth in a dynamic setting.
- Why this job: Grow your data science skills in a collaborative and innovative environment.
- Qualifications: Foundational data science skills and proficiency in Python or R.
Join a leading technology and services business at the forefront of delivering transformational AI solutions. As a Data Scientist, you’ll work closely with Senior Data Scientists, engineers, and client teams to develop, test, and deploy machine learning models and insights that tackle real-world business challenges.
This is an exciting opportunity for someone with foundational data science skills to grow their expertise in a collaborative and client-focused setting.
Key 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 (EDA) 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 participation in code reviews and best practice development.
- Monitor and maintain model performance, including retraining and validation.
- Proficiency in Python or R for data analysis and modelling.
- Hands-on experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Strong understanding of data wrangling, statistics, and exploratory data analysis.
- Excellent collaboration and communication skills.
- Familiarity with data visualisation tools (e.g., matplotlib, seaborn, Tableau, Power BI).
- Familiarity with cloud platforms (AWS, Azure, 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.
- Relevant qualifications (BSc/MSc in Data Science, Computer Science, Statistics, or related fields) would be beneficial.
Salary on offer is up to £45k/annum, plus excellent benefits.
Data Scientist in Derby employer: Investigo
Join a dynamic and innovative technology firm in Derby, where you will have the opportunity to develop your data science skills in a collaborative and supportive environment. With a strong focus on employee growth, the company offers excellent benefits and a hybrid work model that promotes work-life balance, making it an ideal place for those looking to make a meaningful impact through AI solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in Derby
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Investigo!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Scientist at Investigo.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Investigo.
✨Apply Directly through Our Website
When you find a suitable opening like Data Scientist at Investigo, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Scientist in Derby
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Investigo, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Investigo. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Investigo
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Investigo!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
