At a Glance
- Tasks: Drive decisions with data, partner with product teams, and build end-to-end data pipelines.
- Company: Join Fin, a forward-thinking company focused on AI insights and analytics.
- Benefits: Attractive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on innovation and collaboration.
- Why this job: Make an impact by influencing product strategy and crafting compelling data stories.
- Qualifications: 5+ years of experience in data science, strong SQL and Python skills required.
The predicted salary is between 60000 - 84000 £ per year.
Fin is seeking a Data Scientist for their Research, Analytics & Data Science team. This role focuses on using data to drive decisions, partnering with product teams, and building end-to-end data pipelines. Candidates should have strong SQL and Python skills and a proven track record of delivering actionable insights.
Ideal candidates possess at least 5 years of experience and are comfortable using AI tools. Responsibilities include influencing product strategy and crafting data stories for stakeholders.
Senior Data Scientist — AI Insights & Self-Serve Analytics employer: Fin
Fin is an exceptional employer that fosters a collaborative and innovative work culture, where data-driven decision-making is at the forefront of our mission. Located in a vibrant tech hub, we offer competitive benefits, continuous learning opportunities, and the chance to work with cutting-edge AI tools, empowering our employees to grow and make a meaningful impact in their roles. Join us to be part of a dynamic team that values creativity and encourages professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist — AI Insights & Self-Serve Analytics
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people 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 projects, especially those involving SQL and Python. This will give potential employers a taste of what you can do and how you can drive decisions with data.
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. Think about how you can influence product strategy and craft compelling data stories, as these are key aspects of the role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to engage with us directly.
We think you need these skills to ace Senior Data Scientist — AI Insights & Self-Serve Analytics
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your SQL and Python skills in your application. We want to see how you've used these tools to deliver actionable insights in your previous roles.
Tell Your Data Story:Craft a compelling narrative around your experience. We love candidates who can influence product strategy through data storytelling, so don’t hold back on showcasing your successes!
Be Specific About Your Experience:With at least 5 years of experience required, be specific about your past roles and projects. We’re looking for concrete examples of how you’ve partnered with product teams and built end-to-end data pipelines.
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 get to know you better!
How to prepare for a job interview at Fin
✨Know Your Data Tools
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've used these tools to drive decisions or build data pipelines. This will show that you’re not just familiar with the tech, but that you can apply it effectively.
✨Craft Your Data Stories
Prepare to share examples of how you've turned complex data into actionable insights. Think about how you can present your findings in a way that resonates with stakeholders. Practising your storytelling skills will help you communicate your value clearly.
✨Understand the Company’s Product Strategy
Do your homework on Fin and their product offerings. Understand how data science can influence their strategy and be ready to discuss how you can contribute. This shows that you’re genuinely interested in the role and have thought about how you can make an impact.
✨Showcase Your AI Experience
Since the role involves using AI tools, be prepared to talk about your experience with them. Highlight any projects where you've implemented AI solutions and the results they achieved. This will demonstrate your capability and comfort with cutting-edge technology.
