At a Glance
- Tasks: Solve complex data problems and create impactful insights for social housing.
- Company: Join Mobysoft, a leader in data solutions for social housing since 2003.
- Benefits: Enjoy competitive salary, private healthcare, generous leave, and a supportive work environment.
- Other info: Collaborative team culture with opportunities for professional growth.
- Why this job: Make a real difference in people's lives through innovative data science.
- Qualifications: Master's or PhD in Data Science or equivalent experience required.
The predicted salary is between 60000 - 75000 £ per year.
Founded in 2003, Mobysoft provides data-based insight solutions to a wide range of social housing clients, through market-leading products, simultaneously helping keep tenants housed in homes they can enjoy and improving social housing landlords' long-term organisational health.
Our vision is a world in which intelligent technology significantly improves the quality of life for people who live in social housing and our mission is delivering accurate actionable data insights that help social housing providers ensure a consistent, equitable service.
We are an ambitious, customer‑centric, hybrid‑working Data & Analytics team, dedicated to developing a new generation of data products that unlock significant value for the social housing sector. We operate with a focused product lens, driven by curiosity and a commitment to technical excellence.
As a Senior Data Scientist you will take deep, structured/tabular problems – rent arrears, tenant risk, contact strategy, repairs history – and work them through to clear, evidence‑based outcomes. Alongside our existing senior data scientist (who leads on natural language processing (NLP) / and neural networks (NN)), you will be part of a small, central function that partners closely with product and engineering teams on a single, shared roadmap, with a one‑team mentality throughout.
We take a test‑and‑learn approach: real experiments, time‑boxed and honestly evaluated, each ending in a clear call to do more, ship what we have, or stop. We’re looking for an accomplished data scientist with strong foundations, deep structured‑data experience, and the judgement to apply the right level of complexity – from simple, robust baselines to more advanced methods where they add clear value.
Key ResponsibilitiesWhat will you be doing? Our direction of travel includes:
- Early-warning and lifecycle modelling.
- Forecasting.
- Contact strategy.
- Prescriptive analytics.
- AI agents.
- Deployment & monitoring.
- Cross‑team support.
In short, there will be lots to keep you interested, opportunities to keep your technical and interpersonal skills developing, and a real chance to drive innovation and change. This is a professional, technical role with no line management responsibilities. There will be multiple opportunities to take technical ownership of, and lead the delivery of, specific data science workstreams.
Qualifications and skillsRequired What qualifications and experience are we after?
- A Master's or PhD in Data Science, ML, AI, or a related quantitative discipline - or equivalent demonstrated commercial experience.
- 5+ years of serious commercial experience across complex problems, including transactional/event-level data, with multiple live solution deployments.
- Experience working in a test‑and‑learn way as part of a central data team collaborating closely with multiple product and engineering teams against a shared roadmap.
- A track record of committing to and delivering against time‑boxed checkpoints, producing concrete, shippable outputs on a schedule.
What technical skills are required?
- Data Engineering
- Coding
- AI Agents
- Core Statistical & ML Toolkit
- Model Craft
- Modelling Change Over Time
- Connecting Models to Real Decisions
- Engineering Discipline
- Explainability & Fairness
Desirable A background in another regulated or asset‑heavy sector - for example financial services, insurance, utilities, or the public sector – that transfers well to this problem space.
The Person You are someone who:
- Works effectively both independently and collaboratively within a team.
- Is genuinely curious about where data science and AI are heading, matched with the judgement to weigh new methods against business priorities, timescales, and problem fit.
- Communicates clearly, in writing and verbally, including with non‑technical audiences.
- Works to understand the business context, with a proven ability to align with and actively support business goals, objectives and key results (OKRs).
- Looks to build domain knowledge within the sector of application as an intrinsic part of doing good data science.
- Is focused on shipping and delivering value, as part of a team that shares that discipline.
You will behave in accordance with the MobyIdeals:
- Customer‑focused
- Collaborative
- Outcome‑orientated
- Accountable
- Courageous
- Innovative
Competitive salary and rewards package including: Private Health care, 4 x salary Life cover, 25 days annual leave, increasing to 28 after 3 years' service, salary sacrifice pension scheme and much more.
InclusionWe are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process – please contact us to request accommodation.
Senior Data Scientist 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.
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We think you need these skills to ace Senior Data Scientist 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!
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✨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!
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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
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✨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.
