We are a digitally native technology services company where innovation, design and engineering meet scale. We use some of the latest technologies in the digital and cognitive field to empower organizations in every aspect. Right now, we’re looking for a Lead Data Scientist to join our team at Globant! You will get the chance to: Work with professionals who have created some of the most revolutionary solutions in their fields. Make an impact. Work in large-scale projects globally. Develop your career in our Studios. Each Studio represents deep pockets of expertise on the latest technologies and trends and delivers tailored solutions focused on specific challenges. Develop your career within an industry or multiple industries. Work in the city you want, and be nourished by cultural exchanges. Be empowered to choose your career path: we have more than 600 simultaneous projects, so you can choose where and how to work. Be part of an agile pod. Driven...

Echobox has access to very large granular private data sets and is currently only using a small part of this in end user products. You will work closely with our CTO to help push the boundaries of what the Echobox Artificial Intelligence is capable of achieving with this data. Key Responsibilities You will contribute to the development of prototypes that can be turned into end user products by the core development team. You will assist in the customisation of the product for new customers and trial data analyses where required. You will stay up to date with the latest advances in ML and AI. About Echobox We are a fast-growing, research-driven company building an artificial intelligence that helps online publishers overcome the challenges they face every day. Using novel machine learning techniques, we are revolutionising the publishing industry and have a track record of building things that others have ruled out as impossible. Leading names from around...

Lead Data Engineer / AWS / Python or Scala Our client is one of the world leaders in luxury fashion and they operate on one of the most sophisticated ecommerce platforms in the market. They are seeking a Lead Data Engineer as part of their expansion to build out a new Data team which will also feature Data Scientists, Machine Learning Engineers and Business Intelligence Analysts. As the Lead Data Engineer, you will take on responsibility for technical standards across Data Engineering in general and also be able to contribute significantly to their big data upkeep and further development of the platform. As a Lead Data Engineering within this business you will get an awful lot of autonomy and given that they have just received £800M in funding from their main investor, you will get masses of resources to build out the function the way you see fit! If you are a Senior Data Engineer or a Lead Data Engineer looking for their next role, we need to see the following from you:...

Summary We are looking for a motivated and high-achieving Data Scientist (Research) based in London to join the team working on our exciting machine learning product. This is a full-time placement with significant opportunities for personal development. We offer an intellectually stimulating environment, work within an interdisciplinary team and an inclusive culture. We are a high- calibre, mission-driven team building a technology that improves our world. The Company causaLens leads causal AI research. Causality is a major step towards developing true AI. Our technology transforms organisations by autonomously discovering valuable insights that optimise business outcomes. Our flagship product, time-series prediction engine, goes beyond both traditional machine learning and AutoML. It has become the industry standard in the financial sector and is increasingly being used in a wide range of industries. causaLens is run by top scientists and engineers, 70% holding a...

Being a Data Engineer at Smarkets involves working on our proprietary streaming services for the engineering and research groups. Our Research teams create strategies that require order book data which needs to be cleaned and accessible by them in a timely manner. You'll be responsible for architecting the data pipelines, building the tooling and helping spread domain knowledge to the users to aid strategy creation and ultimately increase PnL. Aside from the longer term projects the data engineers work on continually improving the system in regards to collection, processing, storage and dissemination of data across the business. Our current tech stack consists of Python, Postgres, Kafka, Redshift, BigQuey and Luigi. About you You'll be familiar with writing code in either Python or Scala. You'll enjoy collaborating with Quant Strategists to help better define the systems you'll be creating You'll have dealt with with big data volumes (at least a few Terabytes) and...

We're looking for a Data Analyst to join our team in London. You’ll have a demonstrable understanding of Retail or eCommerce consumer products and behaviour and quantitative analysis that they can combine to underpin and enhance the work of the trend forecasting editorial team. You will work closely with our Content teams to analyse WGSN’s global datasets and aid in the generation of breakthrough insight for our customers. Including among other tasks; data cleansing, analysis and visualisation of ecommerce, survey or any other related data set. This position has been created as part of the expansion of the data team and career progression is linked to the acquisition and development of an in-depth technical knowledge within the area of expertise, as well as project management and influencing skills. Please apply with a CV and Cover Letter. As part of our Content function, your key responsibilities will include: Provide high quality and accurate...