At a Glance
- Tasks: Lead the development of predictive market models for Animal Health and build them yourself.
- Company: Join a forward-thinking analytics company shaping the future of Animal Health.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Work in a dynamic environment with a focus on innovation and collaboration.
- Why this job: Own an analytical product from start to finish while making impactful decisions.
- Qualifications: Proficient in Python/R with experience in data modelling and stakeholder management.
The predicted salary is between 60000 - 80000 £ per year.
We’re looking for a hands-on Data Product Manager to own and personally lead the development of our predictive market modelling solutions for the Animal Health division. This is a player-coach role: you will set the product direction for our sales and market models and roll up your sleeves to build, validate, and improve the models yourself.
You’ll be the technical and product owner for forecasting solutions that directly shape commercial decision-making – turning messy internal and external data into models the business trusts and acts on. The role suits someone equally comfortable in a stakeholder workshop and in a notebook, who wants ownership of an analytical product end to end rather than handing the modelling to someone else.
- Product & direction
- Define and own the product vision, strategy, and roadmap for our Animal Health market model – spanning historical baselining, predictive analytics, and forward forecasting (e. g. demand, market sizing, and market share evolution).
- Translate commercial questions from sales and marketing into a prioritised, wellscoped analytical roadmap, balancing rigour against speed-to-value.
- Define success in measurable terms – forecast accuracy, adoption, and demonstrable business impact – and report against it.
- Hands-on modelling & technical leadership
- Personally build, validate, and iterate the predictive and forecasting models – you will be writing and reviewing code, not just specifying it for others.
- Set the technical standard by designing scalable, reproducible data pipelines and modelling workflows for the team to build on.
- Guide and mentor data scientists and engineers – reviewing methods and approaches and acting as the senior technical voice on modelling decisions.
- Own data quality and integrity across internal sales data and external market sources, including the judgement calls when sources are imperfect.
- Stakeholders
- Be the bridge between the commercial business, data science, and engineering – communicating model logic, assumptions, and limitations in language each audience trusts.
Essential
Strong applied proficiency in Python and/or R, including modern data and ML libraries (e. g. pandas, scikit-learn, statsmodels or equivalents) and time-series / statistical forecasting methods.
- A track record of owning an analytical product end to end – from data acquisition and modelling through deployment, monitoring, and iteration.
- The judgement to frame ambiguous business questions as the right modelling approach, and to explain technical trade-offs in business terms.
- Excellent communication and stakeholder management – credible with both senior commercial leaders and technical specialists.
- Comfort with large, messy, multi-source datasets and a healthy instinct for data quality.
- Nice to have
- A background in Animal Health, pharma, or another life sciences setting.
- Experience at a large human-health data company (e. g. IQVIA, Optum, or similar) is a strong plus, though not essential.
- Familiarity with the modern data stack and cloud tooling (e. g. dbt, Snowflake /
Big Query, orchestration tools) and reproducible, version-controlled workflows.
- Prior experience leading or mentoring a small analytics or data science team.
- Practicalities
- Reporting to: Managing Director for Stonehaven Analytics AG
If you want to own a predictive analytics product end to end – and still be the person building
- the models that drive it – we’d love to hear from you
Data Product Manager in Slough employer: Stonehaven Cozmix Group
As a Data Product Manager at our company, you will thrive in a dynamic and collaborative work culture that values innovation and hands-on leadership. We offer competitive benefits, including professional development opportunities and a supportive environment that encourages personal growth, all while being located in a vibrant area that fosters creativity and connection within the Animal Health sector. Join us to make a meaningful impact by transforming data into trusted solutions that drive commercial success.
StudySmarter Expert Advice🤫
We think this is how you could land Data Product Manager in Slough
✨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 Stonehaven Cozmix Group!
✨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 Data Product Manager at Stonehaven Cozmix Group.
✨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 Stonehaven Cozmix Group.
✨Apply Directly through Our Website
When you find a suitable opening like Data Product Manager at Stonehaven Cozmix Group, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Product Manager in Slough
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 Stonehaven Cozmix Group, 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 Stonehaven Cozmix Group. 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 Stonehaven Cozmix Group
✨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 Stonehaven Cozmix Group!
✨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.
