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For Companies At a Glance
- Tasks: Join our data science team to develop AI algorithms and predictive models for diverse industries.
- Company: Dynamic company working with top industrial clients across various sectors.
- Benefits: Competitive salary, car scheme, 24/7 GP service, discounts, and enhanced pension.
- Why this job: Make a real impact by solving complex problems with cutting-edge data science techniques.
- Qualifications: Experience in Data Science, proficiency in Python, and strong teamwork skills.
- Other info: Exciting opportunities for learning and career growth in a supportive environment.
The predicted salary is between 28800 - 48000 £ per year.
We are looking for a junior or medior data science engineer to complement our data science team working with many of our industrial customers from various sectors, including (petro-) chemical, paper and pulp, automotive, metallurgy, telecom and food-and beverage.
Responsibilities
- You will typically work together with a more senior member of the team on projects.
- Your day job typically consists of using and extending a broad set of data science and software skills.
- Help build and improve the algorithms in scalable manner for AI-based anomaly detection and predictive modelling.
- Apply and sometimes (co-)invent and implement AI/ML algorithms for processing various types of data (timeseries, tabular etc).
- Development of computer models and doing predictive and prescriptive analytics for various applications.
- Build Proof of Concepts in notebooks, but also integrate these algorithms into the operational flow of the customer, train the users and give support.
- Interface with various data sources over various connector pipelines (SQL, Elasticsearch, Kafka, REST APIs, ...).
- Tune algorithms and data pipelines for optimal performance.
- Train, tune and deploy anomaly detection and predictive models on industrial or IoT data.
- Knack/experience of consultancy services.
Qualifications
- Previous hands-on experience in Data Science, delivering machine learning models to production.
- Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or Engineering – or equivalent.
- Proficiency in Python and relevant data science libraries (NumPy, pandas, scikit-learn etc.).
- Experience with SQL, Power BI, Git & GitHub.
- Strong knowledge of Machine Learning Algorithms and respective theory.
- Ability to work within a team, collaborating effectively with colleagues.
- Strong stakeholder management skills and the ability to influence.
- A drive to learn new technologies and techniques.
- Experience/aptitude towards research and openness to learn new technologies.
- Experience with Azure, Spark (PySpark) Kubeflow – desirable.
Benefits
- We pay competitive salaries based on experience of the candidates, along with this, you will be entitled to an award-winning range of benefits including:
- Access to our company car scheme or car allowance.
- Free confidential 24/7 GP service.
- Hundreds of discounts (including retail, childcare + gym).
- Affordable loans & enhanced pension scheme.
Data Scientist in England employer: Sneak Peek Tech
Contact Detail:
Sneak Peek Tech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in England
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI/ML algorithms. Use platforms like GitHub to share your code and notebooks, making it easy for potential employers to see what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining your projects and the impact they had. Remember, it's not just about what you know, but how you communicate it!
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight your relevant experience and enthusiasm for data science – it makes a difference!
We think you need these skills to ace Data Scientist in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your relevant experience, especially in data science and machine learning. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include any projects you've worked on that demonstrate your data science skills. Whether it's a personal project or something from your studies, we love seeing practical applications of your knowledge!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so avoid jargon unless it's necessary. Make it easy for us to see why you're a great fit!
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Sneak Peek Tech
✨Know Your Algorithms
Brush up on your knowledge of machine learning algorithms and their applications. Be ready to discuss how you've used them in past projects, especially in predictive modelling or anomaly detection. This will show that you not only understand the theory but can also apply it practically.
✨Showcase Your Coding Skills
Since proficiency in Python and relevant libraries is crucial, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot or explain your code from previous projects. Practising common data science problems can help you feel more confident.
✨Prepare for Real-World Scenarios
Think about how you would approach integrating algorithms into operational flows for customers. Be ready to discuss any experience you have with SQL, Power BI, or data pipelines. Showing that you can think critically about real-world applications will impress your interviewers.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the team’s current projects, the technologies they use, or their approach to stakeholder management. This not only shows your interest but also helps you gauge if the company is the right fit for you.
