At a Glance
- Tasks: Build innovative data products and influence client engagement through analytics.
- Company: Dynamic UK-based data and analytics business with a focus on product innovation.
- Benefits: Hybrid work model, exposure to major clients, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on customer intelligence and predictive modelling.
- Why this job: Shape the future of data products and make a real impact in various sectors.
- Qualifications: Experience in Python, SQL, and a passion for data science and machine learning.
The predicted salary is between 50000 - 70000 £ per year.
Do you want to build data products, not just models? Are you ready to own product innovation from concept to launch? A UK-based data and analytics business is hiring a Data Scientist to support the design and delivery of data-led products used by major enterprise clients. The business combines consultancy delivery with proprietary data products, giving you exposure to both real-world commercial problems and scalable internal product builds.
Their focus sits heavily in customer intelligence, predictive modelling and behavioural analytics across sectors including utilities, telecoms, financial services and charities. This role will sit at the intersection of product, analytics and machine learning. You’ll help prototype, test and shape new analytical products, building models that directly influence how clients engage customers, optimise collections and improve commercial performance.
- Conduct data discovery and exploratory analysis across large customer datasets
- Evaluate emerging AI and machine learning techniques for product innovation
Location: Hybrid (minimum 2 days in London)
Skills: Python, SQL, Databricks, Azure
SQL Data Scientist employer: Harnham
As a leading UK-based data and analytics business, we pride ourselves on fostering a dynamic work culture that encourages innovation and collaboration. Our employees benefit from a hybrid working model, competitive remuneration, and opportunities for professional growth through exposure to cutting-edge technologies and real-world challenges. Join us to not only build impactful data products but also to be part of a team that values your contributions and supports your career development in a vibrant London setting.
StudySmarter Expert Advice🤫
We think this is how you could land SQL Data Scientist
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. We can’t stress enough how valuable personal connections can be in landing that SQL Data Scientist role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data products and models. Use platforms like GitHub to share your projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your SQL and Python skills, and be ready to discuss your approach to product innovation and data analysis. We recommend practising common interview questions and even doing mock interviews with friends.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you. Tailor your application to highlight your experience with customer intelligence and predictive modelling, and let’s get you that dream job!
We think you need these skills to ace SQL Data Scientist
Some tips for your application 🫡
Show Your Passion for Data Products:When writing your application, let us see your enthusiasm for building data products. Share examples of how you've taken a project from concept to launch, and highlight any innovative solutions you've developed.
Tailor Your Experience:Make sure to customise your application to reflect the skills and experiences that align with our job description. Focus on your expertise in SQL, Python, and any relevant machine learning techniques you've used in past projects.
Highlight Collaborative Projects:Since this role sits at the intersection of product, analytics, and machine learning, we want to know about your teamwork! Mention any collaborative projects where you’ve worked with cross-functional teams to deliver impactful results.
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 this exciting opportunity to shape data-led products!
How to prepare for a job interview at Harnham
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss complex queries, data manipulation, and how you've used SQL in past projects. They’ll likely want to see how you can leverage SQL for data discovery and exploratory analysis.
✨Showcase Your Product Mindset
This role is all about building data products, so think about how you can demonstrate your understanding of product innovation. Prepare examples of how you've taken a concept from idea to launch, especially in relation to data-led products. Highlight any experience with customer intelligence or predictive modelling.
✨Familiarise Yourself with Machine Learning Techniques
Since the job involves evaluating AI and machine learning techniques, be ready to discuss the latest trends and tools in this space. Brush up on your knowledge of algorithms and how they can be applied to real-world problems, particularly in sectors like telecoms or financial services.
✨Prepare Questions About Their Data Products
Interviews are a two-way street, so come armed with questions about their existing data products and future innovations. This shows your genuine interest in the role and helps you understand how you can contribute to their goals. Ask about the challenges they face in product development and how you can help solve them.
