At a Glance
- Tasks: Transform complex data into actionable insights and drive product strategy.
- Company: Join a globally recognised, market-leading organisation in London.
- Benefits: Influence key decisions and collaborate with senior stakeholders.
- Other info: Work with large-scale datasets in a dynamic, data-rich environment.
- Why this job: Make a real impact on product growth and business strategy.
- Qualifications: 5+ years in Data Science with strong commercial experience.
The predicted salary is between 63000 - 77000 £ per year.
Senior Data Scientist required to join a global, market-leading organisation, using data to shape product strategy, drive growth, and influence key commercial decisions. This is a highly impactful role sitting at the intersection of Data Science, Product, Growth, and Analytics. You'll work closely with product and growth teams, turning complex data into actionable insights and building data-driven solutions that directly influence how products evolve and perform.
You are:
- 5+ years of professional Data Science experience
- Strong commercial experience, using data to solve real business and product problems
- Experienced working closely with Product and/or Growth teams
- Strong across statistical analysis, experimentation, modelling, and data-driven decision making
- Comfortable taking ambiguous commercial problems and turning them into clear analytical approaches
- An excellent communicator, able to influence both technical and non-technical stakeholders
Bonus points:
- Experience with experimentation, customer behaviour, growth, or product optimisation
- Experience operating within a large-scale, data-rich technology environment
Why join?
- Join a globally recognised, market-leading organisation
- Have a direct influence on product and growth strategy
- Work with large-scale, complex datasets and high-impact commercial problems
- Collaborate closely with senior Product, Growth, and Data stakeholders
- Take a leading role in shaping how data is used to drive decisions across the business
If you're a commercially minded Data Scientist who wants to work beyond the models and have a genuine influence on product, growth, and business strategy, I'd love to hear from you.
Senior Data Scientist - AI in London employer: Oho Group Ltd
Join a dynamic and rapidly growing technology business in the fuel and energy sector, where you will have the opportunity to lead and shape a high-performing support team in a fully remote environment. With a strong focus on employee growth and innovation, the company fosters a collaborative work culture that values your input and encourages you to drive meaningful change. Enjoy the benefits of flexible working arrangements, a commitment to customer excellence, and the chance to make a significant impact in a fast-paced industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist - AI in London
✨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 Oho Group Ltd!
✨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 Senior Data Scientist - AI at Oho Group Ltd.
✨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 Oho Group Ltd.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Scientist - AI at Oho Group Ltd, 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 Senior Data Scientist - AI in London
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 Oho Group Ltd, 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 Oho Group Ltd. 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 Oho Group Ltd
✨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 Oho Group Ltd!
✨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.
