Upload CV

Data Scientist

Data Analytics

Greater London Contract / 6 months £450 - £550 per day

THE ROLE

My client has state-of-the-art analytics pipeline, using AWS services (Redshift, Lambda, Kinesis, Hadoop etc.) and open-source projects, e.g. Snowplow Analytics, Airflow etc. The pipeline allows them to collect very granular data about customer’s behaviour and now they are investing a lot into it to drive the business and make customers even happier by providing them personalised experience.

As a member of the data-science team you will be using advanced machine-learning and optimisation techniques to build tools that will improve the business and make the service highly personalised. Problems that arise are diverse and have direct impact on the business. They range from optimising physical warehouse to algorithmically designing recipe menus based on customer’s taste etc.

My client has big plans for the future, hence why they are looking for creative thinkers with expertise in machine learning to help drive business and disrupt the online market by leveraging the data. You will work with amazing 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 optimisation of processes (using Evolutionary algorithms etc.)
  • Processing, cleansing and verifying the integrity of data
  • Collaborating with Tech team to productionise 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)

NICE-TO-HAVES

  • Experience in Deep Learning (RNN)
  • Experience in recommendation systems
  • Experience in deploying machine learning algorithms into production environments (AWS)
  • Experience in Bayesian inference/ Networks

Based in London

6 month contract

Job Reference: JO-1611-91437

Salary: £450 - £550 per day

Salary per: Day

Job Duration: 6 months

Job Start Date: ASAP

Job Type:

Job Location:

Job Industry:

Apply Now

Here are some related jobs

Data Analytics

Big Data Engineer

Big Data Engineer - 6 month contract - London I am looking for a big data engineer for a new project kicking off with an investment bank in London. You…

£500 - £501 per day
Data Analytics

Talend Consultant

Talend Consultant - Cambridgeshire - 3-6 month contract I am looking for a talend consultant for a leading client to work on a new finance transformation program. Talend has been…

£400 - £500 per day
Data Analytics

Lead Big Data Engineer

Senior Big Data Engineer - Scala, Spark - Central London - £85k p.a. + BenefitsDescription: Senior Big Data Engineer An established investment banking company in Central London is looking to…

£65000.00 - £85000.00 per annum + benefits
×
UK

Upload your CV

Upload your CV and one of our consultants will be in touch with you as soon as possible.






Please let us know where you are, or where you would like to be in the world so we can point you in the right direction.



Cookie Consent×

Salt uses cookies to improve the user experience of our site. Cookies allow you to have a more enhanced journey through the site when searching for a specific job or location. They also allow for social sharing through Facebook, Twitter and LinkedIn. Whose doesn’t like cookies? Unfortunately it’s not those kind of cookies we are referring to but they are there to help us understand how our site is being used and give you a better service. You can find out more about how Salt uses cookies here. By continuing to use the Salt site you are consenting to use our cookies.

OK