At a Glance
- Tasks: Use data to solve complex business problems and shape product direction.
- Company: Join a leading recruitment agency in the analytics field with a focus on innovation.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Dynamic team environment with excellent career development opportunities.
- Why this job: Make a real impact by influencing product features and customer experiences with data.
- Qualifications: Experience in SQL, Python, and applying statistical techniques in a commercial setting.
The predicted salary is between 80000 - 90000 £ per year.
Location: Brighton | Hybrid - 3 days a week in the office, reducing to 2 days from Jan 27
Salary: £80,000 - £90,000 dependent on experience
Do you enjoy using data to solve complex business problems rather than simply responding to requests? We're looking for a commercially minded Senior Product Data Scientist to become the data specialist within a cross-functional product squad. Working alongside Product Managers, Engineers and Designers, you'll use data to shape product direction, challenge assumptions and deliver meaningful customer and commercial outcomes.
This is an opportunity for someone who enjoys asking questions, forming hypotheses and using data to influence what gets built. You'll combine analytical thinking, experimentation and technical expertise to solve real business problems, helping to develop data-powered products and features.
- Analyse customer and operational data to identify opportunities, trends and areas for improvement.
- Apply statistical thinking, experimentation and hypothesis testing to validate ideas and measure success.
- Build analytical solutions using SQL and Python to support product development and commercial decision-making.
- Help shape data-driven product features and continuously improve how data is used across the product.
About you:
- Commercial experience in a hands-on technical data role, ideally within a product-led, marketplace or e-commerce environment.
- Strong SQL skills with experience querying complex datasets and a good understanding of data modelling principles.
- Commercial experience using Python for data analysis, statistical modelling and rapid prototyping.
- Experience applying experimentation techniques, including hypothesis testing and A/B testing, to solve business problems and support product decisions.
- Naturally curious with excellent critical thinking skills, able to identify opportunities, challenge assumptions and use data to influence outcomes.
- An interest in modern AI tooling and a desire to continue developing across product analytics, data science and data engineering.
If you're looking for a role where you can combine product thinking, analytics and technical expertise to influence customer experiences and commercial outcomes, we want to hear from you.
Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.
(Senior) Data Scientist (Remote) in Brighton employer: Datatech Analytics
Datatech Analytics is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration within the secure government and defence sectors. Employees benefit from meaningful projects that have a direct impact on national security, alongside opportunities for professional growth and development in cutting-edge technologies. With a hybrid working model and a focus on employee well-being, this role provides a unique chance to contribute to critical transformation programmes while enjoying a supportive and engaging workplace.
StudySmarter Expert Advice🤫
We think this is how you could land (Senior) Data Scientist (Remote) in Brighton
✨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 Datatech Analytics!
✨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 (Remote) at Datatech Analytics.
✨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 Datatech Analytics.
✨Apply Directly through Our Website
When you find a suitable opening like (Senior) Data Scientist (Remote) at Datatech Analytics, 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 (Remote) in Brighton
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 Datatech Analytics, 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 Datatech Analytics. 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 Datatech Analytics
✨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 Datatech Analytics!
✨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.
