At a Glance
- Tasks: Tackle data challenges using predictive analytics and AI to drive impactful solutions.
- Company: Join Mobysoft Ltd, a forward-thinking company focused on data-driven outcomes.
- Benefits: Enjoy competitive pay, flexible working options, and opportunities for professional growth.
- Other info: Be part of a dynamic team that values experimentation and continuous learning.
- Why this job: Make a real difference in tackling tenant risks and improving lives through data.
- Qualifications: Experience in data science, predictive analytics, and a passion for innovative problem-solving.
The predicted salary is between 60000 - 75000 Β£ per year.
Mobysoft Ltd seeks a Senior Data Scientist to tackle structured/tabular problems, including rent arrears and tenant risk, delivering evidence-based outcomes.
You will join a small central data & analytics function, collaborating with product and engineering on a shared roadmap and experimental approach.
Responsibilities span forecasting, prescriptive analytics, AI agents, and deployment with monitoring.
You will work in a test-and-learn culture, applying robust baselines and advanced methods as
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Senior Data Scientist β Predictive Analytics & AI Agents in Manchester employer: Mobysoft Ltd
Mobysoft is an exceptional employer, offering a dynamic work environment in Manchester that fosters innovation and collaboration. With a strong focus on employee growth, we provide comprehensive benefits including private healthcare and generous annual leave, while our commitment to social purpose ensures that your work contributes to meaningful outcomes in the social housing sector. Join us to be part of a team that values diversity, accountability, and continuous improvement, all while enjoying the flexibility of hybrid or remote working options.
StudySmarter Expert Adviceπ€«
We think this is how you could land Senior Data Scientist β Predictive Analytics & AI Agents in Manchester
β¨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 Mobysoft Ltd!
β¨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 β Predictive Analytics & AI Agents at Mobysoft Ltd.
β¨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 Mobysoft Ltd.
β¨Apply Directly through Our Website
When you find a suitable opening like Senior Data Scientist β Predictive Analytics & AI Agents at Mobysoft Ltd, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesnβt love a direct application? Itβs easier than navigating through job boards!
We think you need these skills to ace Senior Data Scientist β Predictive Analytics & AI Agents in Manchester
Some tips for your application π«‘
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. Donβt 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 Ltd, 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 youβre 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 Ltd. 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 Ltd
β¨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!
β¨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, itβll really make us stand out!
β¨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 Ltd!
β¨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how weβd 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.