Lead Data Scientist

Lloyd's List Intelligence; London; On-site; GBP 55,000 - 75,000; Full time

Job summary

A leading company in maritime intelligence seeks a Data Scientist to enhance its advanced analytics team. The role requires developing machine learning models and managing a talented team, while promoting efficient and innovative analytics solutions. Candidates should have a strong background in statistics, analytical skills, and be passionate about utilizing data to drive operational excellence. Company offers a competitive benefits package including flexible working and enhanced family leave policies.

Benefits

25 days holiday, increasing to 27 after 2 years

Day off for your birthday

Life assurance of 4x salary

Company pension with 5% contributions from both employee and employer

Up to 4 days paid volunteering annually

Healthy lifestyle subsidy up to £250/year

Flexible benefits including private healthcare

Work from anywhere policy (up to 4 weeks/year)

Cycle to Work scheme

Qualifications

• Master's degree in a relevant field is required; PhD is a plus.
• Proficiency with SQL and Python is essential for analysis.
• Strong grasp of ML algorithms and predictive modeling is necessary.

Responsibilities

• Manage an in-house team and drive high performance.
• Develop and deploy statistical and machine learning models.
• Collaborate with software teams to integrate models into applications.

Skills

SQL

Python

Machine Learning

Analytical Skills

Communication

Education

Master's degree in Computer Science, Mathematics, or Statistics

PhD in related field

Tools

SAS

AWS

GitHub

Docker

Job description

We are industry experts delivering actionable maritime insights, data, technology, and analytics trusted by 60,000 professionals worldwide to drive commercial advantage, evaluate risk, and support the efficient and lawful movement of seaborne trade.

Our data is sourced exclusively from reputable partners and accurate sources, many of which are exclusive to us and our clients.

Our advanced analytics, artificial intelligence, and industry expertise transform this unparalleled data into powerful insights delivered through data and analytics platforms, services, news, commentary, and publications, helping professionals in maritime operations, risk, and compliance stay well-informed.

We lead seaborne trade through change with data transparency, innovative technology, and human ingenuity.

Role Profile

The Data Scientist will join our advanced analytics team to develop various statistical, deterministic, and machine learning models to create behavioral profiles based on data features related to the global shipping fleet.

This role involves leading a team and engaging with customers: model explainability is a core principle, and our data scientists assist sales and product teams in communicating the quality of our analytical models.

The role reports to the Data Science & Analytics Manager and is based at our headquarters in London.

Key Responsibilities

• Manage a multi-location, in-house team to achieve high performance, motivate, and foster career development.
• Promote next-generation infrastructure in analytics, including batch, near real-time, and real-time technologies, using SAS and AWS tools (e.g., Redshift, SQS, Kinesis).
• Have strong familiarity with spatial-temporal datasets, with maritime data experience preferred.
• Evaluate, train, and communicate the performance of ML models (supervised like gradient boosting, logistic regression, and unsupervised like clustering).
• Advise stakeholders on feature selection and model accuracy to improve reliability and performance.
• Develop testing frameworks to ensure model quality.
• Deploy models to production using tools like GitHub, Jenkins, Sagemaker, Docker.
• Possess advanced programming skills in SQL, SAS (desired), Python, and write production-level code.
• Be familiar with standard Python ML libraries (e.g., Scikit-Learn, Pandas, Numpy, LightGBM, XGBoost).
• Innovate with new machine learning techniques and approaches.

General

• Passionate about continuous learning, experimenting, and applying open-source ML technologies.
• Collaborate with data engineering and software teams to incorporate models into customer-facing applications.
• Ensure quality through validation and verification processes.
• Contribute to open-source technologies related to Big Data and analytics.
• Lead end-to-end technology initiatives across data and analytics engineering layers.

Required Qualifications

• Master's degree in Computer Science, Mathematics, Statistics, or related field; PhD is a plus.
• Proficiency in SQL and Python for data analysis and modeling.
• Strong understanding of ML algorithms, predictive modeling, and data mining.
• Excellent communication skills for explaining complex concepts to non-technical audiences.
• Highly analytical, detail-oriented, with a passion for data and problem-solving.

Preferred Qualifications

• Experience developing models using SAS platform or writing SAS models.
• Proficiency with SAS Base.
• Experience with AWS or similar cloud environments.
• Knowledge of AIS messages and maritime industry experience preferred.

Company Benefits

• 25 days holiday, increasing to 27 after 2 years.
• Day off for your birthday.
• Life assurance of 4x salary.
• Company pension with 5% employee and 5% employer contributions.
• Up to 4 days paid volunteering annually.
• Additional leave for life events.
• Healthy lifestyle subsidy up to £250/year.
• Enhanced family leave policies.
• Work from anywhere policy (up to 4 weeks/year).
• Cycle to Work scheme.
• Flexible benefits including private healthcare, dental, medical expenses, health screening, critical illness cover, Employee Assistance Programme, and options for additional leave.

We encourage candidates who are excited about this role even if they don't meet all requirements to apply. We value diversity and are committed to an inclusive environment. Please inform us of any accommodations needed to support your application.