Prototyping Engineer (Data Engineering, Data Science and Machine Learning)

Prototyping Engineer (Data Engineering, Data Science and Machine Learning)

Whitehall Resources are looking for a Prototyping Engineer (Data Engineering, Data Science and Machine Learning). This role is based onsite in London for an initial 6 month contract.

Inside IR35

The Role

We are looking for a highly autonomous contractor who can take ideas and concepts, think independently, and return within a few days with a working proof of concept. This role is focused on rapid experimentation and validation, not long development cycles. The goal is to quickly assess whether ideas are viable and worth scaling.

• Build PoCs – Take loosely defined problems and turn them into proofs of concepts (PoCs) within days
• Combine data engineering, modelling and lightweight application development to test ideas end-to-end
• Convert PoCs to working Prototypes – Where a POC shows promise, there would be additional effort to grow it into a prototype (applying the concept to functional business needs) within 2‑3 weeks
• Work independently with minimal guidance and iterate quickly based on feedback and communicate results clearly.
• Strong ability to translate ideas into working solutions quickly
• Hands‑on skills across:
• Python (data processing, ML, prototyping).
• Lightweight app development (APIs, simple frontends, notebooks, dashboards).
• Solid knowledge on the statistical/mathematical fundamentals that support and proposed ML methodologies.
• Experience building end‑to‑end prototypes, not just models.
• Comfortable working in ambiguous, fast‑moving environments.
• Strong problem‑solving and independent thinking.
• Nice to have: Experience integrating LLMs or AI services into applications
• Familiarity with modern data platforms (e.g. Snowflake)
• Experience with visualisation tools (e.g. Tableau, Plotly)
• Working knowledge of marketing and advertising
• What success looks like:
• You can go from idea → working PoC in 2–3 days
• You can go from working PoC to useful prototype in 2‑3 weeks
• You unblock decisions by demonstrating feasibility quickly
• You focus on practical outcomes, not perfect code

Your Profile

• Essential skills/knowledge/experience: Strong hands‑on experience in Analytics & Reporting, with the ability to translate business requirements into measurable insights and KPIs.
• Advanced proficiency in SQL and Python for data extraction, transformation, analysis, and automation of analytical workflows.
• Solid foundation in Data Science and Machine Learning, including feature engineering, model development, evaluation, and performance monitoring.
• Practical experience with NLP techniques using scikit‑learn, applying text analytics to derive insights from unstructured data.
• Proven ability in API testing and automation, ensuring data quality, reliability, and stability of data/ML services.
• Excellent analytical and problem‑solving skills, with experience working closely with business stakeholders; exposure to Snowflake, Tableau, or Campaign Marketing analytics is an added advantage.
• Desirable skills/knowledge/experience: Strong experience in Advanced SQL
• Experience with API Testing automation
• Strong experience with Data Science
• Strong experience with Machine Learning, NLP Technologies with scikit‑learn etc.
• Strong hands‑on experience with Python (data processing, ML, prototyping)
• Strong hands‑on experience with Data engineering (APIs, data pipelines, SQL, cloud data).
• Lightweight app development (APIs, simple frontends, notebooks, dashboards)
• Solid knowledge on the statistical/mathematical fundamentals that support and proposed ML methodologies.
• Experience with cloud data platforms (e.g., Snowflake) and modern data warehousing concepts for scalable analytics and ML workloads.
• Exposure to data visualization tools such as Tableau or similar BI platforms for creating executive‑level dashboards and self‑service reporting.
• Experience working in Agile delivery models and collaborating cross‑functionally with business, analytics, and engineering teams.
• Working knowledge of campaign marketing analytics, including customer segmentation, attribution, churn, and uplift analysis is beneficial.

#J-18808-Ljbffr…