Asset Data Analyst - London, United Kingdom - DeepMind

Description

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact.

We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law.

If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.
We are a path to real world impact, beyond ABC products and services or making our research public.
Artificial Intelligence could be one of humanity's most useful inventions.

At Google DeepMind, we're a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence.

We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.

We are seeking a driven Impact Data Analyst with a passion for using data to drive social impact in our Life Sciences, Climate and Environment and Education efforts.

This highly collaborative role will be instrumental in transforming complex data sets into actionable insights, handling ad hoc stakeholder requests, and developing robust data analysis infrastructure.

Impact Analysis:
Design and execute in-depth analyses to measure the impact of our work
Translate complex data findings into clear, visually compelling reports, presentations, and dashboards customised for diverse collaborators

Ad Hoc Analysis:
Respond effectively to data-driven queries from various collaborators, providing prompt and accurate analysis

Collaboration:
Work closely with GDI teams to understand their data needs and drive project objectives based on insights

Data Infrastructure Development:
Build and maintain data pipelines and processes to ensure clean, organised, and accessible data
In order to set you up for success as an Impact Data Analyst at Google DeepMind, we look for the following skills and experience:

Python Proficiency:
Mastery of Python for data manipulation, analysis, and visualisation (e.g., Solid foundation in statistical techniques necessary for robust impact analysis, including hypothesis testing, regression modelling, and experimental design.

Data Storytelling:
A proactive and analytical mentality with a talent for identifying trends, patterns, and anomalies within data sets.

Project Management Skills:
You are capable of both executing independently,and providing end-to-end project leadership when needed

Domain Knowledge:

Familiarity with any of the following is a plus: sustainability metrics, life sciences data and metrics, or educational assessment techniques.

Collaborative Software Development:

Data Science Foundations:

Understanding of machine learning principles and techniques for text analysis and natural language processing will be an asset for predictive modelling and advanced insights.