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- Tasks: Analyse data to drive insights and support decision-making across the business.
- Company: Join Habito, a tech-driven company revolutionising the mortgage industry.
- Benefits: Remote-first work, flexible holidays, and enhanced maternity leave.
- Why this job: Make an impact with data while working on innovative projects in a supportive environment.
- Qualifications: Strong SQL skills, analytical degree, and experience in data analysis.
- Other info: Opportunity for growth and collaboration with the CEO and executive team.
The predicted salary is between 28800 - 48000 £ per year.
We’re looking for a Junior Data Scientist. Habito is making it easier than ever to get a mortgage, with cutting-edge technology and a straightforward service that puts customers in control. We are looking for a data scientist to undertake an in-depth analysis on an ongoing basis with the huge amount of data that we have. You will design, analyse and build a narrative around behaviours, tracking partnership and any other required data analysis. You will be the ‘go to’ person, owner and distributor of data and analytics across the business.
More about what you’ll do:
- Ensuring the business operates with a high level data-driven mindset
- Driving commercial outcomes coupled with identifying and reporting upon underutilised data
- Applying advanced statistical techniques to model user behaviour, identifying causal impact and attribution, building and benchmarking key metrics
- Delivering training across the business to ensure functional experts are empowered to understand relevant and significant data points
- Identifying data ‘gaps’ and solutions to capture more data, leveraging our competitive edge
- Applying machine learning and statistical modelling to new products
- Working closely with the CEO and Exec team
- Other adhoc projects/duties as the business requires
About you:
- Strong SQL skills, with experience cleaning, transforming, and extracting useful information from complex datasets.
- Strong understanding of relational databases and data modelling.
- Strong communication skills, comfortable with condensing complex issues and information into an understandable package for non-technical stakeholders.
- Experience with using dashboards and visualisations to present information.
- Degree in an analytical subject (Maths, Physics, Engineering, Computer Science etc).
- Solid understanding of statistics and interpretation of data.
- 2+ years of experience in an analytical role, but willing to consider strong graduate candidates as well.
- Comfortable with spreadsheets (Google Sheets, MS Excel) and their use in business modelling.
Nice-to-haves:
- Experience with Looker, or other business dashboard/BI tools (Tableau, Power BI etc).
- Familiarity with Python for scripting, data analysis, and data transformation (pandas, polars, PySpark etc).
- Familiarity with version control using Git.
- Familiarity with AWS ecosystems and tools: Redshift, S3, Athena, EMR etc.
- Familiarity with task automation and orchestration tools like Airflow, cron, Google Apps scripts, Zapier etc.
The stated experience level is a guide and does not preclude applications from candidates with more or less experience, provided the requisite skills can be demonstrated.
The benefits:
- Remote-first working
- Flexible holiday - 25 days holiday and more if you need it! (this is team dependent)
- Enhanced maternity
Junior Data Scientist employer: Habito
Contact Detail:
Habito Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Data Scientist
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect 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 analysis projects. Use platforms like GitHub to share your code and visualisations. This gives potential employers a taste of what you can do!
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and statistical techniques. Be ready to discuss how you've used data to drive decisions in past roles. Practice explaining complex concepts in simple terms for non-technical folks.
✨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 are proactive about their job search!
We think you need these skills to ace Junior Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the skills and experiences mentioned in the job description. Highlight your SQL skills, data analysis experience, and any relevant projects that showcase your ability to work with complex datasets.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data science and how you can contribute to our mission at Habito. Share specific examples of how you've used data to drive outcomes in previous roles or projects.
Showcase Your Communication Skills: Since you'll be working with non-technical stakeholders, it's crucial to demonstrate your ability to condense complex information into understandable insights. Consider including examples of how you've successfully communicated data findings in the past.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. This way, we can ensure your application gets the attention it deserves and you can easily track your progress!
How to prepare for a job interview at Habito
✨Know Your Data Inside Out
Before the interview, dive deep into your past projects involving data analysis. Be ready to discuss specific datasets you've worked with, the challenges you faced, and how you overcame them. This will show your practical experience and understanding of data-driven decision-making.
✨Brush Up on SQL and Statistics
Since strong SQL skills are a must for this role, make sure you're comfortable with writing complex queries. Practise explaining your thought process when cleaning and transforming data. Also, be prepared to discuss statistical techniques you've applied in previous roles or projects.
✨Communicate Clearly with Non-Technical Stakeholders
You’ll need to condense complex data insights into understandable narratives. Practise explaining your past analyses to friends or family who aren’t in the field. This will help you articulate your findings clearly during the interview, showcasing your communication skills.
✨Familiarise Yourself with Tools and Technologies
If you have experience with Looker, Python, or AWS tools, be ready to discuss how you've used them in your work. If not, do a bit of research on these technologies and think about how they could apply to the role. Showing that you’re proactive about learning can really impress the interviewers.
