Data Scientist

Salt are working on behalf of a Disruptive Artificial Intelligence Lab who require the top 10% of Machine Learning experts in the country to scale their highly reputable business. Our client offers roles on both the East & West Coast depending on the expertise that the Machine Learning expert can offer.

As a leading member of the data-science team you will be using advanced machine-learning and optimization techniques to build tools that will improve the business and make the service highly personalized. Problems that arise are diverse and have direct impact on the business.

Our client requires creative thinkers with expertise in machine learning to help drive business and disrupt the Artificial Intelligence space.. You will work with an intelligent team of colleagues and brainstorm new ideas to solve challenging problems that will have significant impact on the product and customers.

ROLE AND RESPONSIBILITIES

· Translating unstructured business problems into ML frameworks

· Implementing Deep Learning (RNN) algorithms to leverage granular sequential data

· Settling novel metrics to evaluate existing ML models

· Clustering customers into segments with similar behaviour

· Multi-objective optimization of processes (using Evolutionary algorithms etc.)

· Processing, cleansing and verifying the integrity of data

· Collaborating with Tech team to productionize ML algorithms

· Helping Analytics Team to conduct advanced analyses

REQUIREMENTS

· MSc or PhD in Machine Learning, Math, Stats, Computer Science or equivalent

· Commercial experience or a strong track of working on relevant side projects

· Machine Learning (AzureML, Matlab, NLP, Spark ML (Tensorflow, Mlib) Unsupervised Learning, Neural Networks)

· Excellent understanding of machine learning techniques and optimisation algorithms

· Good scripting and programming skills

· Experience in R or Julia or Haskell or Clojure

· Experience in Python (pandas, sci-kit learn, etc.)

· Proficiency in using query languages (SQL)

· Great communication skills – being able to explain complex model to all types of business partners

· High-energy self-starter with a passion for data, attention to detail, and a positive attitude

· Big Data Exposure (Spark, Hadoop, Apache, Pig, Hive, Cassandra)

· Experience in Deep Learning (RNN)

· Experience in recommendation systems

· Experience in deploying machine learning algorithms into production environments (AWS)

Salt is acting as an Employment Agency in relation to this vacancy.