Castleton Commodities International Logo

Castleton Commodities International

Data Scientist – Global Oil Markets (Hybrid - 3/2 Work Schedule)

Sorry, this job was removed at 04:03 p.m. (GMT) on Thursday, Jan 23, 2025
Be an Early Applicant
London, Greater London, England
London, Greater London, England

CCI is committed to building a best-in-class Data Science platform, as being at the forefront of data management and analytics is core to our investment strategy. We are seeking a highly skilled Data Scientist to join our growing team in the London office with expertise in time series forecasting and machine learning model building experience. This role is vital for advancing our data science capabilities and delivering high value projects that directly affect decision making.
In addition, you will serve as a domain expert responsible for delivering insights to the commercial business. Specifically, you'll be accountable for utilizing time series data to analyze oil and shipping market fundamentals to understand the drivers of supply and demand, ultimately predicting future price trends to help the commercial business manage risk.

Responsibilities:

  • Serve as a domain expert for the Global Oil Data Science initiatives, collaborating closely with both the Data Science and Commercial teams.
  • Perform time series forecasting & build machine learning models for the global oil markets, leveraging historical data to predict future trends.
  • Deliver end-to-end data science solutions for users from data ingestion through to production using advanced analytics / machine learning models using both commercial tools and custom coding.
  • Apply understanding of the mathematical/statistical fundamentals behind machine learning to improve existing applications and inspire new ones.
  • Create new data ingestion pipelines and source new data sets.
  • Communicate findings and insights to stakeholders through comprehensive reports and presentations.
  • Mentor and guide junior data scientists, fostering a collaborative and innovative team environment.
  • Work closely with our Commercial investing teams globally to support their data needs.

Qualifications:

  • Bachelor's degree in Data Science, Statistics, Computer Science, or a related technical field.
  • 2+ years of experience in Data Science, with a focus on Shipping, Oil & Petroleum asset classes, including crude oil and refined products.
  • Proven experience with time series forecasting and machine learning techniques, specifically in the shipping & global oil markets.
  • Strong programming skills – Python & SQL.
  • Familiarity with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn, etc.).
  • Excellent problem-solving skills and the ability to work independently and as part of a team.
  • Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.

Employee Programs & Benefits:

CCI offers competitive benefits and programs to support our employees, their families and local communities. These include:

  • Competitive comprehensive medical, dental, retirement and life insurance benefits
  • Employee assistance & wellness programs
  • Parental and family leave policies
  • CCI in the Community: Each office has a Charity Committee and as a part of this program employees are allocated 2 days annually to volunteer at the selected charities.
  • Charitable contribution match program
  • Tuition assistance & reimbursement
  • Quarterly Innovation & Collaboration Awards
  • Employee discount program, including access to fitness facilities
  • Competitive paid time off
  • Continued learning opportunities

Visit  https://www.cci.com/careers/life-at-cci/# to learn more!

Similar Jobs

12 Days Ago
Hybrid
4 Locations
Senior level
Senior level
Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
In this role, you will analyze data using statistical methods and machine learning to generate actionable insights. You'll collaborate with stakeholders to implement data-driven solutions and enhance decision-making processes within the organization.
Top Skills: CC++Data VisualizationJavaJavaScriptMachine LearningPower BIPredictive ModelingPythonRSQLStatisticsTableau
21 Days Ago
Hybrid
London, England, GBR
Senior level
Senior level
Fintech • Professional Services • Consulting • Energy • Financial Services • Cybersecurity • Generative AI
The Data Analytics Lead will drive strategy and growth for Capco's Data Practice, managing client relationships, identifying business opportunities, and ensuring high standards in project delivery. The role requires collaboration with a diverse team to develop innovative data solutions for financial services clients.
2 Days Ago
Hybrid
London, Greater London, England, GBR
Senior level
Senior level
Edtech
The Sr. Data Scientist, Analytics - Growth at Quizlet will focus on driving business insights through data, collaborating with various teams to enhance product strategy using data-driven decisions, developing A/B tests, and presenting insights to inform product roadmaps.

What you need to know about the London Tech Scene

London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account