AI Architect London
Навыки
- A/B-тесты
- Amplitude
- AWS
- Azure
- B2C-продажи
- CJM / JTBD
- Анализ данных
Ещё 17
- Data Quality
- dbt
- E-commerce
- Google Analytics
- Google Cloud
- LLM
- Mixpanel
- Machine Learning
- MLOps
- Power BI
- Python
- React
- Snowflake
- SQL
- Статистика
- Tableau
- Terraform
О компании и продукте
- Take ownership of the end-to-end AI strategy across the organisation, from architecture and tooling through to governance and delivery
- Design, build and productionise LLM-powered workflows and AI-enabled systems used internally across operations
- Identify, scope and deliver new AI use cases that solve tangible business problems
- Build and evolve AI infrastructure without predefined blueprints, making informed architectural decisions
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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- Graduate Data Engineer
- Data Engineering
- Permanent
- This is an exciting opportunity to join a rapidly growing Tech business where you’ll help build the systems that power key commercial decisions
- You’ll work on high-impact engineering projects, gaining exposure to data, analytics, and pricing functions while taking real ownership from day one
- 10+ years in analytics/data engineering
- 5+ years leading and growing technical teams
- Proven track record delivering both internal and client-facing analytics products
- Deep expertise with Snowflake and fluency across at least two major cloud providers (AWS, Azure, GCP)
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
Условия
- Up to £44,000 base salary
- 600 annual learning and development budget
- Senior mentorship and career development opportunities
- Hybrid working model (4 days in office)
- Work abroad policy allowing up to one week per year overseas
- Salary: $140,000-170,000
Паспорт вакансии
История публикации
Появилась в Вакандии27 дней
Перепубликации1 разпубликаций всего: 2
Проверяли на источникеВидели 16 дней назад
Среди похожихНет данных25 из 30 · похожих вакансий слишком мало для сравнения
Откуда что взялось
Отмечено то, что вывели мы. Без пометки — значение назвал работодатель.
ГрейдSeniorвыведено из другого признака
Формат работыУдалённо
ГеографияЛондон, Великобританиявычитано из текста вакансии
Зарплата75 000 — 100 000 USD в год
Почему на этом месте в выдаче
Порядок выдачи объявлен контрактом: свежесть решает между днями, полнота и зарплата — внутри дня.
Полнота карточки1004 из 4 полей: грейд, формат, география, зарплата
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Проверка Вакандии
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- Найдено публикаций
- 2
Посмотреть публикации и даты
- careerОсновная публикация · 2026-08-18
- careerПовторная публикация · 2026-08-19
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Признаки мошенничества
- Просят предоплату, «залог» или деньги за обучение и оборудование.
- Требуют код из SMS, данные банковской карты или доступ к «Госуслугам».
- Быстро уводят в мессенджер и торопят с решением.
- Обещают большой доход без опыта и без деталей задач.
Настоящий работодатель не просит денег и платёжных данных до трудоустройства.
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