AI Engineer / Data Engineer London

Навыки

• Amplitude
• Azure
• BI-инструменты
• CJM / JTBD
• Анализ данных
• Data Governance
• Data Quality

О компании и продукте

• They are a specialist organisation delivering innovative Data & AI solutions for enterprise clients. Their teams work on complex data transformation and AI initiatives, helping businesses modernise their data ecosystems and unlock the value of emerging technologies. They offer a collaborative environment where engineering excellence, innovation, and continuous improvement are highly valued. This role is fully remote and offers the opportunity to work on cutting-edge AI engineering challenges within a highly experienced team.
• Design, build, test, and maintain scalable data transformation pipelines using modern data architecture principles.
• Develop AI and LLM-powered workflows, including prompt engineering, vector search, structured outputs, and validation processes.
• Build and deploy AI agents with orchestration, state management, tool integrations, and failure-handling mechanisms.

Задачи

• Owning analysis from initial hypothesis through to insight and recommendation
• Analysing user journeys, behaviour, conversion and engagement to identify opportunities to improve the product
• Designing and evaluating A/B tests, control groups and experiments to understand incremental impact
• Using product analytics tools such as Amplitude
• Writing advanced SQL and using Python for deeper analysis and automation
• Building and maintaining analytical data models using dbt
• Creating self-service reporting around product performance, experimentation and key metrics
• Working with external datasets and APIs to improve the quality, coverage and accuracy of partner/business data
• Identifying data quality issues, matching records and investigating root causes
• Exploring opportunities to use AI/LLMs and automation to improve analytical and data processes
• Lead analytics projects and take ownership of delivery
• Analyse campaign and customer journey performance
• Use SQL and/or Python to generate actionable insights
• Work with tools such as GA4, Adobe Analytics or similar
• Build and develop dashboards and reporting
• Present findings to clients and senior stakeholders
• Help shape analytics roadmaps and identify opportunities for growth
• Mentor and support junior analysts
• Drug Response Prediction
• Lead the design and execution of computational approaches to predict drug response across patient populations
• Develop and validate predictive models using real-world clinical data, integrating diverse data modalities
• Identify biological and clinical signals that differentiate responders from non-responders
• Translate modeling outputs into actionable biological and clinical insights
• Data & Analysis
• Work extensively with real-world data (RWD) – EHR, claims, clinical trial data – at scale

Требования

• You’ll ideally come from a product-led, B2C, marketplace, subscription, e-commerce or digitally native environment , with experience using data to directly influence product and commercial decisions
• Key experience
• Strong hands-on SQL
• Strong Python experience
• Hands-on experience with dbt
• Experience with a product analytics or experimentation platform such as Amplitude, Mixpanel, Optimizely, OpenPanel, PostHog, Heap or similar
• Strong A/B testing and experimentation experience
• Dashboarding experience with Lightdash, Tableau or Power BI
• Good statistical understanding, including control/holdout groups and measuring incremental impact
• Experience analysing customer/user behaviour, journeys, conversion or engagement
• Ability to translate complex analysis into clear recommendations for Product and Commercial stakeholders
• Experience working with APIs, data quality, matching or enrichment would be beneficial
• An interest in AI/LLMs and how they can improve analytics workflows is a nice to have rather than essential
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• Director of Analytics
• New York
• Data Engineering
• Permanent
• We’re looking for a hands-on Director of Analytics to lead the strategy, architecture, and delivery of our global analytics platform – serving both internal stakeholders and thousands of clients worldwide
• This is a builder’s role: you’ll personally shape data pipelines, semantic models, and embedded analytics products while building and mentoring a high-caliber engineering team
• Role Details
• 10+ years in analytics/data engineering
• 5+ years leading and growing technical teams

Будет плюсом

• Integrating financial/ERP/CRM/payment systems (NetSuite, Salesforce, or similar)
• Aggregating from diverse sources, including APIs, geospatial imagery, unstructured web data, and public government records
• Exposure to feature engineering, forecasting, or AI-adjacent analytics
• Curiosity about AI tooling. No expertise needed, just a willingness to work smarter with it
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• Product Marketing Manager – Mobile Gaming
• Advanced Analytics & Marketing Insights
• Permanent
• Miami, Florida
• Location: Miami, FL (Hybrid)
• Job type: Full-time, Permanent
• We’re partnering with a leading mobile game studio in Miami, part of a major international gaming group, to hire a Product Marketing Manager for its flagship title
• This is a rare opportunity to own the full player journey for one of the most recognizable games in its genre, from first ad impression to long-term retention, and turn new content launches into viral cultural moments
• Background in cloud infrastructure, developer tools, or consumption-based revenue models
• Familiarity with modern data stacks: Snowflake, Delta Lake, dbt, Airflow
• Prior technical mentorship or informal leadership experience
• CAN’T FIND THE RIGHT OPPORTUNITY?
• STILL LOOKING?
• If you can’t see what you’re looking for right now, send us your CV anyway – we’re always getting fresh new roles through the door
• TALK TO US
• Data Talent Solutions Enquiry
• Name (Required)

Условия

• Salary: $140,000-170,000

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