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Senior Data Scientist / Engineer
£75,000 - 75,000
Serve Legal
Buckingham Mews, London
£75,000 - 75,000
Requirements
Must:
- 6-10 years of experience in data science or data engineering, with a focus on productization or algorithm development.
- Proven track record in delivering proofs of concept (PoCs), prototypes, or pilots that have commercial utility.
- Familiarity with compliance, retail, FMCG, logistics, or consumer insight datasets is advantageous.
- Prior experience in startups, R&D, or innovation-focused teams is a plus.
- Essential programming skills in Python (Pandas, NumPy, scikit-learn, TensorFlow or PyTorch). Knowledge of R is desirable.
- Strong data engineering skills with advanced SQL and experience in ETL/ELT tools (Airflow/dbt), including cloud platforms like AWS/Azure/GCP.
- Experience in machine learning and AI, specifically in classification, regression, clustering, forecasting, and NLP techniques.
- Proficiency in analytics and visualization tools (e.g., Power BI, Tableau, Looker) and experience in developing interactive dashboards and prototypes.
- Familiarity with productization and deployment tools such as APIs/microservices, Git/GitHub, and Docker (Kubernetes is advantageous).
- Understanding of experimental design (A/B testing), data governance, and ethical AI.
Responsibilities
- Build innovative data products and algorithms by prototyping and refining predictive models (e.g., compliance forecasting, anomaly detection, NLP-based feedback analysis) and integrating solutions into client dashboards and intelligent tools.
- Actively participate in our Innovation Labs by leading the data science lifecycle, from ideation to prototype to pilot, using agile methodologies (sprints, MVPs) to collaboratively deliver validated concepts.
- Engineer the future by building scalable experimentation pipelines and ensuring a smooth handover to production systems, while also researching and piloting emerging technologies (e.g., GenAI, LLMs, advanced ML frameworks).
- Champion data innovation within the company by serving as Serve Legal's in-house data evangelist, translating complex findings into client-ready insights and influencing leadership with strategic ideas for new revenue streams and services.
Description
We are dedicated to transforming operational data into market-ready products, algorithms, and insights that redefine client value. As a member of our Innovation Labs, you will work in a dynamic environment where you can experiment, prototype, and create compelling data solutions. This role balances data science and engineering; in addition to exploring and analyzing datasets, we expect you to help establish cloud-native data foundations, including a data warehouse and supporting data pipelines. We value curiosity and experimentation and offer a remote-first, flexible environment with occasional travel to London (twice a month). We provide a competitive compensation package, including a base salary of £60,000 to £75,000, depending on location and experience, along with a 10% bonus scheme. Join us to lead a greenfield innovation function with high autonomy and the chance to make a tangible impact.
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How many Data Engineer jobs are in the UK?
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Is the UK a good place for Data Engineers?
The UK is one of the best countries to work as a Data Engineer. It has a vibrant startup community, growing tech hubs and, most important: lots of interesting jobs for people who work in tech.
Which companies are hiring for Data Engineer jobs in the UK?
ApplianSys, u-blox, Serac Group, Cencora, Unisys, NTT Data UK, BAE Systems among others, are currently hiring for Data roles in the UK.
The company with most openings is DataAnnotation as they are hiring for 46 different Data Engineer jobs in the UK. They are probably quite committed to find good Data Engineers.
The company with most openings is DataAnnotation as they are hiring for 46 different Data Engineer jobs in the UK. They are probably quite committed to find good Data Engineers.