At a Glance
- Tasks: Transform complex data into actionable insights for social housing.
- Company: Mobysoft, a pioneering company in social housing analytics since 2003.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Join a small, dynamic team with a focus on collaboration and impact.
- Why this job: Make a real difference in social housing through innovative data science.
- Qualifications: Experience in data science, analytics, and AI technologies.
The predicted salary is between 55000 - 70000 £ per year.
Mobysoft, founded in 2003, is seeking a Senior Data Scientist to transform complex rent arrears, tenant risk and repairs history data into evidence-based insights. The role operates in a small central team partnering with product and engineering on a shared roadmap, with limited line management responsibilities.
You will work on early-warning, forecasting, contact strategies, prescriptive analytics, and AI agents, deploying models in production and monitoring drift, alongside NLP/NN work.
Senior Data Scientist - Social Housing Analytics & AI in Manchester employer: Mobysoft
Mobysoft is an exceptional employer located in the vibrant city of Manchester, offering a dynamic work culture that prioritises collaboration and innovation. As a Digital Marketing Manager, you will benefit from ample opportunities for professional growth while contributing to meaningful outcomes in the housing sector. With a focus on strategic impact and a supportive team environment, Mobysoft stands out as a place where your contributions truly matter.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist - Social Housing Analytics & AI in Manchester
✨Get Involved in Data Science Meetups
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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 Mobysoft.
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We think you need these skills to ace Senior Data Scientist - Social Housing Analytics & AI in Manchester
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 Mobysoft, 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 Mobysoft. 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 Mobysoft
✨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 Mobysoft!
✨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.
