Associate, Data Science Analyst – Global Oil Markets (Hybrid - 3/2 Work Schedule)

Castleton Commodities International LLC
London
9 months ago
Create job alert

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!

Related Jobs

View all jobs

Head of Data Science & Analytics

Data Scientist

Associate Director, Business Intelligence (Basé à London)

Principal Data Engineer

Group Director, Business Intelligence & Customer Master (Basé à London)

Trainee Data Analyst (Career Accelerator with Employment Guarantee)

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Data science has become one of the most sought‑after fields in technology, leveraging mathematics, statistics, machine learning, and programming to derive valuable insights from data. Organisations across every sector—finance, healthcare, retail, government—rely on data scientists to build predictive models, understand patterns, and shape strategy with data‑driven decisions. If you’re gearing up for a data science interview, expect a well‑rounded evaluation. Beyond statistics and algorithms, many roles also require data wrangling, visualisation, software engineering, and communication skills. Interviewers want to see if you can slice and dice messy datasets, design experiments, and scale ML models to production. In this guide, we’ll explore 30 real coding & system‑design questions commonly posed in data science interviews. You’ll find challenges ranging from algorithmic coding and statistical puzzle‑solving to the architectural side of building data science platforms in real‑world settings. By practising with these questions, you’ll gain the confidence and clarity needed to stand out among competitive candidates. And if you’re actively seeking data science opportunities in the UK, be sure to visit www.datascience-jobs.co.uk. It’s a comprehensive hub featuring junior, mid‑level, and senior data science vacancies—spanning start‑ups to FTSE 100 companies. Let’s dive into what you need to know.

Negotiating Your Data Science Job Offer: Equity, Bonuses & Perks Explained

Data science has rapidly evolved from a niche specialty to a cornerstone of strategic decision-making in virtually every industry—from finance and healthcare to retail, entertainment, and AI research. As a mid‑senior data scientist, you’re not just running predictive models or generating dashboards; you’re shaping business strategy, product innovation, and customer experiences. This level of influence is why employers are increasingly offering compensation packages that go beyond a baseline salary. Yet, many professionals still tend to focus almost exclusively on base pay when negotiating a new role. This can be a costly oversight. Companies vying for data science talent—especially in the UK, where demand often outstrips supply—routinely offer equity, bonuses, flexible work options, and professional development funds in addition to salary. Recognising these opportunities and effectively negotiating them can have a substantial impact on your total earnings and long-term career satisfaction. This guide explores every facet of negotiating a data science job offer—from understanding equity structures and bonus schemes to weighing crucial perks like remote work and ongoing skill development. By the end, you’ll be well-equipped to secure a holistic package aligned with your market value, your life goals, and the tremendous impact you bring to any organisation.

Data Science Jobs in the Public Sector: Exploring Opportunities Across GDS, NHS, MOD, and More

Data science has emerged as one of the most influential fields in the 21st century, transforming how organisations make decisions, improve services, and solve complex problems. Nowhere is this impact more visible than in the UK public sector. From the Government Digital Service (GDS) to the National Health Service (NHS) and the Ministry of Defence (MOD), government departments and agencies handle vast amounts of data daily to support the well-being and security of citizens. For data enthusiasts looking to make a meaningful contribution, data science jobs in the public sector can offer rewarding roles that blend innovation, large-scale impact, and societal benefit. In this comprehensive guide, we’ll explore why data science is so pivotal to government, the roles you might find, the skills needed, salary expectations, and tips on how to succeed in a public sector data science career.