This role exists to input into the development, implementation and maintenance of value-generating data science solutions and algorithms across the business.
Responsible for:
§ Working closely with business stakeholders to translate high-level business requirements into easy to implement technical requirements to support and deliver into the building of value-adding machine learning solutions.
§ Building, developing, and maintaining data science models and solutions.
- Communicating machine learning results, insights, and assumptions to both technical and non‑technical audiences in a clear and structured way.
- Supporting the deployment of machine learning models into production and contributing to the monitoring and maintenance of live data science solutions.
- Contributing to the improvement of existing machine learning products and tools by applying best practices and learning from new techniques and approaches.
- Supporting the adoption of new machine learning solutions within the business by contributing to documentation, knowledge sharing, and experimentation.
- Collaborating with third‑party partners and internal teams to support the delivery and improvement of data science solutions.
- Building effective working relationships with business stakeholders to understand their data needs, challenges, and priorities.
Accountable for:
- Contributing to the delivery and adoption of commercially focused, high‑quality machine learning solutions with stakeholders and the wider data science team.
- Working closely with Data Architect, ML & Data Engineers, and BI & Insights teams to ensure data science solutions are robust, scalable, and aligned with agreed standards and best practices.
- Ensuring data science solutions meet agreed quality, performance, and maintainability requirements.
- Creating and maintaining strong relationships with business stakeholders.
- Developing a growing understanding of Gymsharks data landscape and business domains relevant to assigned projects.
Essential Skills:
- Proven experience delivering commercially focused Machine Learning projects from build through to deployment and maintenance.
- Practical experience building Machine Learning solutions on a cloud‑based data platform such as GCP, AWS or Microsoft Azure.
- Extensive experience with Python and SQL (2 - 4+ years).
- Proven expertise of shallow ML frameworks - regression, classification, clustering; time series forecasting (prophet, ARIMA, SARIMA); dimensionality reduction approaches.
- Exposure to MLOps concepts.
- Knowledge of data warehousing, data modelling, and broader data architecture concepts.
- Strong communication and interpersonal skills, with the ability to explain data science outputs and concepts clearly to both technical and non‑technical stakeholders.
- Demonstrated problem‑solving and critical‑thinking skills, with the ability to work through ambiguous requirements collaboratively.
- Ability to manage multiple priorities and deliver to agreed timelines.
- Experience working in an e‑commerce or retail environment would be beneficial.
Preferred Skills:
§ Experience taking ML solutions into production within GCP.
§ Hands on experience building recommender engines would be beneficial.
§ Willingness to learn new tools and techniques; proactively keeping up to date with latest thinking and practices.
§ Passionate about data science with the ability to articulate the potential value of the field in an evolving business landscape.
§ Able to establish what does/does not align to business/functional strategies/priorities and communicate dependencies clearly.
§ Confident to challenge, and receptive to being challenged.
§ The ability to thrive in a fast-paced environment. Embracing change with a positive outlook.
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