Data Scientist – Optimisation with a global trading commodity MNC

THE CAP CONSULTING GROUP PTE. LTD.
  • Job category
    Banking and Finance, Engineering, Information Technology, Logistics / Supply Chain
  • Job level
    Senior Executive
  • Contract type
    Permanent, Full Time
  • Location
    Central
  • Salary
    S$9160 - S$16700

Job Description

Data Scientist –  Optimisation  with a global trading commodity MNC

  • PhD or Masters in mathematics, statistics, computer science, electrical and computer engineering with min 3 years relevant data science experience.
  • Looking for similar data scientists roles with exposure to the commodity trading, energy, logistics or chemical sectors. Also open to PHD cands with related industry exposure now working with universities.
  • Experience with managing all aspects of solving real world problems using optimization including requirements gathering, translating them into conceptual design, model formulation, and model productization. Experience with optimization for planning in logistics is a plus


Our client is a renowned and global commodity trading MNC.


For this role, you are part of the digital and innovation team supporting the commodity traders covering the physical trading busines. One of the critical enablers to the marketing trading business is to embed a new portfolio of digital and other innovative concepts and analytical tools.  This team is charged with identifying, designing and implementing solutions to enable commercial business units in mining supply chain and commodity trading desks by using novel technologies and business data to uplift their bottom-line results.


Key functions:

Concept Development and Delivery

  • Work closely with stakeholders from across the Marketing Business Unit but especially with the front office traders to understand the question that they are trying to address to unlock value by making key trading decisions. Relevant domains; Trading, Sales, Customer Interaction, Supply Chain Optimisation, Shipping and Freight Trading, Risk Management, Finance etc.
  • Assist business in designing data capture / experimental setups for exploratory work, or changes in process / data capture in existing systems.
  • Perform exploratory data analysis, using Python, and provide rapid iterations of analysis to refine posed problems, and identify potential solutions. Maximize insight into a data set; uncover underlying structure; extract important variables; detect outliers and anomalies; test underlying assumptions; develop parsimonious models; and determine optimal factor settings.
  • Develop mathematical and statistical models/ algorithms and/or machine learning algorithms to analyse data and address a particular business question.
  • Assist and supervise Data Engineers / Developers in developing and deploying production workflows for taking data in real-time or periodically from sites / business functions, passing the data through the developed models and producing the relevant reporting without human intervention.
  • Work with commercial business stakeholders on reporting results from analytics tools and improve the models. Relate the results with the financial performance of the desk and suggest improvement areas
  • Ensure that solutions are aligned to group standards (including Anglo American Security and Operating Standards)
  • Work with and support IM and business in architecture of data warehousing and data-lake as required.
  • Align delivery of the solutions and analysis according to Agile and Lean methodologies
  • Research industry trends and identify industry best practices to further progress and develop digital best practice within the Marketing BU
  • Leverage learnings from across relevant team and contribute the development of a high calibre data science capability.


Formal qualifications:

  • Required: PhD or Masters in mathematics, statistics, computer science, electrical and computer engineering with min of 3 years relevant data science experience.
  • Looking for similar data scientists roles with exposure to the commodity trading, energy, logistics or chemical sectors. Also open to PHD cands with related industry exposure now working with universities.


Role-specific knowledge:

  • Extensive experience applying mathematical / statistical modelling. Experience on various models and skill to select one which fits to the problem best.
  • Experience with working with various optimization techniques, including linear programming, mixed-integer programming and stochastic programming. Strong expertise in simulation is a plus.
  • Understand physical trading business and physical concepts including supply chain, inventory management, logistics, supply and demand and product dimension issues.
  • Advanced machine learning and deep learning experience. Working knowledge of common machine learning algorithms including logistic regressions, SVMs, Neural Networks
  • Time series analysis
  • Exploratory data analysis
  • Expert level coding with Python
  • (Strongly preferred) Domain knowledge of commodities covering trading, operations, risk management and financial accounting
  • Experience with managing all aspects of solving real world problems using optimization including requirements gathering, translating them into conceptual design, model formulation, and model productization. Experience with optimization for planning in logistics is a plus
  • A good team player who also possess strong consulting skills


To apply, please send your cv in word doc to resume@cap-cg.com . Please also include details on your current salary, expected salary and notice period in your cv.


We regret to inform that only shortlisted candidates will be notified.


Posted by:

CAP Consulting (EA license: 14C7175)

Caroline Poh (EA Registration: R1105649)


Date Posted - 15 Feb 2021


Closing on 17 Mar 2021

orview more job listings from this company