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 options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on ethical data practices and career advancement.
- Why this job: Join a dynamic team and make an impact through data science and machine learning.
- Qualifications: Experience in data science, Python or R skills, and a passion for problem-solving.
The predicted salary is between 40000 - 50000 € 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.
- Awareness 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 West Bromwich 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, enhancing your skills in data science while contributing to meaningful projects that drive real-world impact. Located in a vibrant area, the company also prioritises data ethics and responsible practices, making it a rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in West Bromwich
✨Tip Number 1
Network like a pro! Reach out to people in the data science field, attend meetups or webinars, and connect with professionals on LinkedIn. 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 data science projects, models, and visualisations. This is your chance to demonstrate your expertise in Python, R, and machine learning techniques to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and case studies. Practice explaining your thought process and findings clearly, especially to non-technical audiences, as communication is key in this role.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented data scientists. Make sure your application stands out by tailoring it to highlight your experience with real-world problems and your understanding of data ethics.
We think you need these skills to ace Data Scientist in West Bromwich
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with data science, machine learning, and any relevant programming languages like Python or R. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data science and how you can contribute to our multidisciplinary teams. Keep it engaging and make sure to mention any specific projects that relate to the job.
Showcase Your Projects:If you've worked on any data science projects, whether in a professional setting or as personal endeavours, include them in your application. We love seeing practical examples of your work, especially if they demonstrate your ability to solve real-world problems.
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 the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at AWTG Ltd
✨Know Your Data Science Tools
Make sure you're well-versed in Python, R, or any other relevant programming languages. Brush up on your knowledge of machine learning techniques and statistical methods, as these will likely come up during the interview.
✨Prepare Real-World Examples
Think of specific projects where you've applied data science to solve real-world problems. Be ready to discuss the challenges you faced, the methods you used, and the outcomes you achieved. This will show your practical experience and problem-solving skills.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. You might be asked to present your findings to non-technical audiences, so being able to communicate effectively is key. Use visualisations to help convey your insights.
✨Understand Data Ethics
Familiarise yourself with data ethics, privacy, and security issues. Be prepared to discuss how you consider these factors in your work, as this shows that you take responsible data use seriously, which is crucial for any data science role.
