At a Glance
- Tasks: Explore data, build models, and communicate insights to drive real-world solutions.
- Company: AWTG, a forward-thinking company focused on data-driven innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on ethical data practices.
- Why this job: Join a dynamic team and make an impact with your data science skills.
- Qualifications: Experience in data science, Python or R proficiency, and strong analytical skills.
The predicted salary is between 45000 - 55000 € per year.
The Data Scientist will use data science, statistics and machine learning techniques to generate insight and develop practical solutions for AWTG and its clients. The role works with multidisciplinary teams to explore data, build models and communicate findings clearly. You will work with multidisciplinary teams across data, AI, software engineering, product, QA and delivery to create practical outcomes for clients and end users.
Key Responsibilities
- Explore, prepare, analyse and visualise data to identify patterns, trends and opportunities.
- Develop data science outputs such as models, reports, dashboards, forecasts or decision-support tools.
- Apply appropriate statistical, machine learning or analytical techniques to solve business or user problems.
- Work with data engineers, analysts, developers and product teams to deliver usable data science solutions.
- Document methods, assumptions, limitations and validation results clearly and responsibly.
- Consider data ethics, privacy and security throughout the data science life cycle.
Essential Skills And Experience
- Experience applying data science or statistical methods to real-world problems.
- Good knowledge of Python, R or similar programming languages for analysis and modelling.
- Understanding of machine learning, statistical testing, model validation and performance metrics.
- Ability to prepare, clean and transform data for analysis and modelling.
- Ability to communicate technical findings and visualisations to non-technical audiences.
- Aware of data ethics, privacy, bias, model limitations and responsible use of data.
Desirable Skills And Experience
- Experience with NLP, time series, optimisation, predictive analytics or simulation.
- Experience with cloud data platforms, notebooks, Git, APIs or data pipelines.
- Experience delivering data science outputs within Agile or multidisciplinary teams.
What Success Looks Like
- Data science outputs are valid, explainable and aligned to business needs.
- Models and analysis are documented, tested and communicated clearly.
- Insights help teams improve services, operations or decision-making.
Data Scientist in London employer: AWTG Ltd
AWTG is an exceptional employer for Data Scientists, offering a collaborative work culture that fosters innovation and creativity. With a strong emphasis on employee growth, AWTG provides opportunities to work alongside multidisciplinary teams, utilising cutting-edge technologies in a supportive environment that values data ethics and responsible practices. Located in a vibrant area, employees benefit from a dynamic atmosphere that encourages professional development and meaningful contributions to impactful projects.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups or webinars, and connect with fellow data enthusiasts. You never know who might have a lead on your dream Data Scientist role!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, models, and visualisations. This is your chance to demonstrate your expertise and make a lasting impression on potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and practising common data science questions. Be ready to discuss your past projects and how you tackled real-world problems using data.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our job listings and submit your application to join our awesome team!
We think you need these skills to ace Data Scientist in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with data science and machine learning techniques. We want to see how you've tackled real-world problems, so don’t hold back on those examples!
Showcase Your Skills:When writing your application, emphasise your knowledge of Python, R, or any other relevant programming languages. We love seeing candidates who can communicate technical findings clearly, so include any experience you have in this area.
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, especially when it comes to documenting methods and results. Make it easy for us to see your thought process and how you approach data challenges.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at AWTG Ltd
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals. Be ready to discuss your experience with Python, R, and any machine learning techniques you've used. Prepare examples of how you've applied these skills to solve real-world problems.
✨Show Off Your Communication Skills
Since you'll need to explain complex findings to non-technical audiences, practice simplifying your explanations. Think of a few key projects where you successfully communicated insights and be ready to share those stories during the interview.
✨Get Familiar with Their Work
Research AWTG and their clients to understand their business needs and challenges. This will help you tailor your answers and demonstrate how your skills can directly benefit them. Mention specific areas where you think you could add value.
✨Think About Ethics and Responsibility
Be prepared to discuss data ethics, privacy, and security. Show that you understand the importance of responsible data use and can articulate how you would approach these issues in your work as a Data Scientist.
