At a Glance
- Tasks: Build and deploy AI models to drive key business decisions and enhance product development.
- Company: OVO, a forward-thinking energy company with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Work in a collaborative environment with excellent career advancement potential.
- Why this job: Join a dynamic team and make a real impact through data-driven insights.
- Qualifications: Experience in data science, machine learning, and A/B testing.
The predicted salary is between 50000 - 70000 £ per year.
OVO is seeking a Data Scientist (AI) to build and deploy foundational models that drive critical business decisions across the full data science lifecycle, from model building to evaluation and performance tracking.
Focus on analyzing product metrics, conducting A/B tests, and delivering data-driven insights to accelerate product development.
Based in the UK with a hub-based hybrid in Bristol, Glasgow, or London, you will develop ML models, conduct rigorous evaluation, create intuitive.
AI Data Scientist — UK Hybrid, ML & A/B Testing employer: Talanto
Almedia is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those passionate about machine learning and real-time personalization. With a strong emphasis on employee growth, you will have the opportunity to mentor fellow engineers while collaborating with cross-functional teams in the vibrant city of London. The hybrid working arrangements and commitment to impactful projects make Almedia a rewarding place to advance your career in AdTech.
StudySmarter Expert Advice🤫
We think this is how you could land AI Data Scientist — UK Hybrid, ML & A/B Testing
✨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 Talanto!
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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 AI Data Scientist — UK Hybrid, ML & A/B Testing at Talanto.
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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 Talanto.
✨Apply Directly through Our Website
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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 Talanto, 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 Talanto. 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 Talanto
✨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
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✨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.
