At a Glance
- Tasks: Design and develop analytical data models for real-time decision-making.
- Company: Join a forward-thinking company leading in AI/ML analytics.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Autonomous role with mentorship opportunities and a focus on best practices.
- Why this job: Be at the forefront of AI/ML innovation and make impactful decisions.
- Qualifications: 3+ years in analytics or data engineering with ML experience.
The predicted salary is between 70000 - 90000 £ per year.
The Senior Analytics Engineer is a senior technical role responsible for the design and development of robust analytical data models. These critical data assets act as the authoritative source of truth, feeding systems across Finance, Operations, Marketing, and Enterprise Analytics. The role pioneers AI/ML readiness by championing scalable feature sets and designing low‑latency, event‑driven data models to support real‑time decisions (e.g., dynamic pricing, risk assessment) from quote to claims. Operating with autonomy, the engineer sets technical standards, mentors junior engineers, and drives best practices in data governance, quality assurance, and documentation.
Responsibilities
- Design and build data models in the data warehouse, ensuring they are AI and ML ready.
- Integrate new data sources to enrich analytical capabilities and provide necessary datasets for AI/ML models.
- Collaborate with business and engineering teams to ensure reliable, scalable, and robust architecture for the analytics platform, with a focus on feature‑engineering pipelines.
- Manage ELT pipelines that feed reporting systems and analytical teams.
- Work with engineering and product teams to ensure application design accommodates reporting and analytics requirements, particularly for AI and ML features.
Qualifications
- 3+ years of analytics or data engineering experience.
- Experience modeling and transforming data using tooling such as dbt.
- Experience with cloud data warehouses such as Snowflake or Databricks.
- Experience building ML features.
- Experience with real‑time streaming tools and frameworks (e.g., Apache Flink) is a plus.
- Experience evaluating new tools and processes to drive adoption and usability of AI and ML‑ready data.
- Familiarity with a variety of programming languages.
- Knowledge of the insurance domain is an added bonus.
Senior Analytics Engineer (with ML/AI experience) employer: 慨正橡扯
As a Senior Analytics Engineer at our company, you will thrive in a dynamic and innovative environment that champions cutting-edge technology and data-driven decision-making. We offer a collaborative work culture that prioritises employee growth through mentorship and continuous learning opportunities, alongside competitive benefits that support your well-being. Located in a vibrant area, our company not only values your contributions but also empowers you to lead impactful projects that shape the future of analytics and AI/ML integration.
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We think this is how you could land Senior Analytics Engineer (with ML/AI experience)
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We think you need these skills to ace Senior Analytics Engineer (with ML/AI experience)
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