Data Scientist

About Us

We are a global leader in food & beverage ingredients. Pioneers at heart, we operate at the forefront of consumer trends to provide food & beverage manufacturers with products and ingredients that will delight their consumers. Making a positive impact on people and planet is all part of the delight. With a deep-rooted presence in the countries where our ingredients are grown, we are closer to farmers, enabling better quality, and more reliable, traceable and transparent supply. Supplying products and ingredients at scale is just the start. We add value through our unique, complementary portfolio of natural, delicious and nutritious products. With our fresh thinking, we help our customers unleash the sensory and functional attributes of cocoa, coffee, dairy, nuts and spices so they can create naturally good food & beverage products that meet consumer expectations. And whoever we’re with, whatever we’re doing, we always make it real.

Job Description

Olam food ingredients (ofi) is a global leader at the forefront of food & beverage consumer trends delivering sustainable, natural, and plant-based ingredients & solutions serving large, attractive and high growth end-use categories. Olam Europe Limited, based in London, are seeking to appoint a Data Scientist to the business, based out of the London office.

Key Responsibilities

• Maintenance and continuing development of the company’s Value-at-Risk (VaR) model across all linear and non-linear commodity and currency exposures, using Python. Development of a user interface for the end-user will also be required. 
• Continuous engagement with Business Unit (BU) stakeholders to understand their needs and goals and help scope further risk-related projects. 
• Perform exploratory data analysis and visualization to discover patterns, trends, and insights for both the traded markets and associated positions held. 
• Select, apply, and fine-tune analytical / machine learning models to diverse data sets, and solve various business problems. 
• Implement and communicate the results of your models and visualizations at all levels to help drive business value. 
• A collaborative and agile mindset, and the ability to work well in a small and dynamic team.

Experience Requirements

• A STEM degree with a very high level of understanding of coding principles 
• 3+ years of data science experience in industry with analytical models applied to real-world data 
• A high level of proficiency in at least Python and SQL, as well as other programming and data science and statistical tools and frameworks. 
• A very strong command of Value-at-Risk modelling (particularly historical simulation), stress testing and financial derivatives (futures, options, exotics) and their associated exposures (e.g. the “Greeks”)  
• Time series modelling (both machine-learning and econometric methods) 
• Proficiency in visualizing complex data for a broad audience 
• Advanced qualifications in mathematics, statistics, and machine learning preferred. 

ofi is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, nationality, disability, protected veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law.

Applicants are requested to complete all required steps in the application process including providing a resume/CV in order to be considered for open roles.