Junior Data Scientist - 12-month FTC

The Junior Data Scientist will join our advanced analytics group to assist us in building various advanced statistical, deterministic and machine learning models to create behavioural profiling on a range of data features relating to the global shipping fleet.

This role expects customer-facing interaction: Analytical model explainability is a core principle in how we develop models, and our data scientists assist sales and product colleagues articulate to customers the quality of our analytical models.

The role will report to the Senior Data Scientist. This role is a 12-month fixed term contract and will be balanced from our modern and centrally located UK - London office close to St Paul's, Blackfriars, and Farringdon with an excellent and a wide variety of services and transport links situated nearby.,

• Advanced programming skills in Python, SQL, SAS (desired), and the ability to write production-level code


• Familiarity with the most standard Python libraries used in ML (e.g., Scikit-Learn, Pandas, Numpy, LightGBM, XGBoost, just to name a few)


• Advise product stakeholders on feature and modelling accuracy and potential iterations which may drive improved model reliability


• Experience with deployment to production, using standard tools including GitHub, Jenkins, Sagemaker, etc


• Strong familiarity with spatial-temporal data sets, with exposure to maritime data preferred


• Develop a testing framework and test model quality


• Foster new and innovative machine-learning techniques and approaches


• Ability to evangelize next-generation infrastructure in analytics space (batch, near real-time, real-time technologies), using both SAS components and AWS tooling (e.g., Redshift, SQS, Kinesis)


General

• Passionate for continuous learning, experimenting, and applying open-source technologies within the machine modelling space


• Work closely with several data engineering and software engineering scrum teams to incorporate both new and enhancements to models to customer-facing applications


• Eager to assure quality by a helping in developing strong validation and verification checks in the data engineering and modelling solutions


• Provides strong technical expertise in adopting and contributing to open-source technologies related to Big Data and analytics


• Drive significant technology initiatives end-to-end and across multiple layers of data and analytics engineering
  
  A Bachelors' degree in Computer Science, Mathematics, Statistics, or a related quantitative field.


• At least 12 months experience in a junior data scientist or a technical data analyst role


• Proven proficiency with Python for data extraction, analysis, and modelling


• A solid understanding of machine learning algorithms, predictive modelling, and data mining


• Excellent communication skills, with the ability to explain complex concepts to a non-technical audience


• Highly analytical and detail-oriented with a passion for digging into data and problem-solving


• Proficiency in developing code with SQL


Desirable

• Experience in developing analytical models using the SAS platform, and/or experience writing models in SAS


• Master's degree in Computer Science, Mathematics, Statistics, or a related quantitative field.


• Proficiency with SAS Base


• Experience with AWS or similar cloud-based environments


• Prior experience in the Maritime industry, specific knowledge of AIS (Automatic Identification System) messages
  
  Lloyd's List Intelligence are the trusted experts delivering transparent and actionable maritime data empowering 60,000 professionals around the globe to make confident decisions that drive the safe, efficient, and lawful movement of trade by sea. Our advanced analytics, artificial intelligence, and industry expertise transform our unparalleled data into unique insight delivered through data and analytics services, news and commentary, and publications.


We have teams working across the globe in data and analytics, product management, editorial and market analysis, technology, marketing, sales, and customer success.


• 25 Days Holiday rising to 27 after 2 years' service and a day off for your birthday


• Work anywhere policy (up to 4 weeks per year, subject to approval)


• Life Assurance for 4 x Salary


• Company pension scheme: employee contribution of 5% basic salary, matched by an employer contribution of 5%


• Up to 4 Days Paid Volunteering


• Healthy Lifestyle Subsidy up to £250


• Enhanced Family Leave (Maternity, Paternity, Shared Parental Leave)


• Flexible benefits including Private Healthcare Plan and Dental Insurance