Senior Analytics Engineer (with ML/AI experience) (London)

Job Description

hackajob is collaborating with Simply Business to connect them with exceptional professionals for this role.

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Senior Analytics Engineer - Analytics Engineering

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Our story - continued commitment to doing the right thing

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2005 seems like a long time ago. Simply Business – a small company with a big idea. To transform the way that other small businesses could get the insurance that they need. To reduce time, hassle and jargon wherever possible while introducing the simplicity, choice and value that small businesses are entitled to. To protect them from harm. To keep their livelihoods safe. And to do all this with the promise of positive service. Delivered by happy people, working flexibly, learning constantly. With a restlessly innovative spirit. Within a business committed to doing the right thing. All of the time.

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As we’ve grown, we’ve tried hard to keep true to this. To ourselves, to our 800 strong team and to the 3.5m customers that we’ve served so far. And as we move forward, as we enter a big new market, as we grow responsibly, as we improve our products, as we offer our customers more of what they need, of what they deserve, we’ll hold onto the focus of that small company with the big idea. Protecting and serving businesses across the UK and the US. From barbers to bakers, consultants to cleaners, they are the backbone of the economy.

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And we’ll continue to stand by them. Bit by bit helping their dreams grow, just like ours.

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Why do we need this role?

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This role will sit within the global Data and Analytics team (DNA) in Simply Business. DNA has been central to empowering data-driven decision making at SB. We have invested heavily in our data pipeline, data engineering, business intelligence and machine learning capabilities.

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The Senior Analytics Engineer is a senior technical role responsible for thedesign 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.

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A key responsibility is pioneering 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.

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Operating with autonomy, the role requires technical expertise and strategic thinking to set technical standards, mentor junior engineers, and drive best practices in data governance, quality assurance, and documentation.

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We are looking for someone with a strong technical background that loves the challenge of working on complex projects in a fast-paced environment.

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As Senior Analytics Engineer, you will:

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• \nDesign and build the data models in our data warehouse, ensuring they are AI and ML ready\n

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• \nIntegrate new sources of data to enrich our analytical capabilities and provide the necessary datasets for AI/ML models\n

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• \nWork with various business and engineering teams to ensure reliable, scalable, robust architecture for our analytics platform, with a focus on feature engineering pipelines\n

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• \nManaging our ELT pipelines that feed reporting systems and analytical teams\n

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• \nWork with the engineering and product teams to ensure application design accommodates reporting and analytics requirements, particularly for AI and ML features\n

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What are we looking for:

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• \n3+ years of analytics or data engineering experience\n

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• \nExperience modeling and transforming data using tooling such as dbt\n

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• \nExperience with cloud data warehouses such as Snowflake or Databricks\n

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• \nExperience in building ML features \n

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• \nAny experience in real time streaming tools and frameworks, e.g. Apache Flink, is a plus\n

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• \nAny experience evaluating new tools and processes to drive the adoption and usability of AI and ML ready data\n

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• \nFamiliarity with a variety of programming languages\n

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• \nKnowledge of the insurance domain will be an added bonus\n

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