DP World

3 months ago

Group Data Scientist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 9 hours agoStatus: Live

Job Summary

Lead ML and optimization initiatives to solve high-impact operational problems across logistics and multimodal transport. Translate real-world challenges into mathematical formulations, prototype rapidly, and productionize models with cross-functional teams. Define KPIs, evaluate solutions rigorously, mentor junior scientists, and drive measurable business impact through advanced analytics and decision-support systems.

Location: Bengaluru

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Lead the design and development of ML and decision-science solutions for high-impact operational problems, including planning, sequencing, routing, allocation, and resource optimization.
•Translate ambiguous real-world challenges into well-defined mathematical, algorithmic, or learning formulations with clear objectives, constraints, and measurable success metrics.
•Rapidly prototype and iterate using agentic coding tools and modern development workflows to accelerate experimentation, code generation, refactoring, and test creation while preserving strong engineering discipline.
•Develop, benchmark, and improve models across optimization, decision intelligence/ RL, and predictive ML to support downstream decision systems.
•Design rigorous evaluation frameworks, define KPIs, acceptance criteria, and experimentation standards for scientifically sound and operationally relevant solutions.

Key Requirements

•Strong experience applying machine learning and algorithmic methods to real-world decision-making or optimization problems.
•Demonstrated proficiency with agentic coding assistants and AI-supported development workflows to accelerate research and engineering output without compromising code quality, maintainability, or testing standards.
•Advanced Python skills and strong hands-on experience with ML frameworks such as PyTorch or TensorFlow.
•Solid grounding in algorithms, optimization, probability, statistics, and experimental design.
•Proven ability to structure messy, high-ambiguity business problems into tractable technical solutions with measurable impact.

Experience:LogisticsAIOperations researchMultimodal transport

Education:Bachelor's

Skills:CommunicationMentoringLeadershipProblem-solving

Languages:English

Tech Stack:PythonPyTorchOR-ToolsRL libraries (Ray RLlib, Stable Baselines)SQLDockerGitMLflowCloud platforms

Company Brief

DP World

Global ports, terminals and logistics provider offering end-to-end supply‑chain, maritime services, freezones and technology-driven trade solutions across ports, inland terminals, logistics parks and digital platforms.

Industry: Ports & Port Operators

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Valuation: Decacorn (USD 10B+)

Funding: IPO / Publicly Listed

Headquarters: Dubai, United Arab Emirates

Founded: 2005

Glassdoor: 3.6

Website LinkedIn Glassdoor

Loading job details...

Preparing the role view and application actions.

DP World

3 months ago

Group Data Scientist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 9 hours agoStatus: Live

Job Summary

Location: Bengaluru

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Lead the design and development of ML and decision-science solutions for high-impact operational problems, including planning, sequencing, routing, allocation, and resource optimization.
•Translate ambiguous real-world challenges into well-defined mathematical, algorithmic, or learning formulations with clear objectives, constraints, and measurable success metrics.
•Rapidly prototype and iterate using agentic coding tools and modern development workflows to accelerate experimentation, code generation, refactoring, and test creation while preserving strong engineering discipline.
•Develop, benchmark, and improve models across optimization, decision intelligence/ RL, and predictive ML to support downstream decision systems.
•Design rigorous evaluation frameworks, define KPIs, acceptance criteria, and experimentation standards for scientifically sound and operationally relevant solutions.

Key Requirements

•Strong experience applying machine learning and algorithmic methods to real-world decision-making or optimization problems.
•Demonstrated proficiency with agentic coding assistants and AI-supported development workflows to accelerate research and engineering output without compromising code quality, maintainability, or testing standards.
•Advanced Python skills and strong hands-on experience with ML frameworks such as PyTorch or TensorFlow.
•Solid grounding in algorithms, optimization, probability, statistics, and experimental design.
•Proven ability to structure messy, high-ambiguity business problems into tractable technical solutions with measurable impact.

Experience:LogisticsAIOperations researchMultimodal transport

Education:Bachelor's

Skills:CommunicationMentoringLeadershipProblem-solving

Languages:English

Tech Stack:PythonPyTorchOR-ToolsRL libraries (Ray RLlib, Stable Baselines)SQLDockerGitMLflowCloud platforms

Company Brief

DP World

Industry: Ports & Port Operators

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Valuation: Decacorn (USD 10B+)

Funding: IPO / Publicly Listed

Headquarters: Dubai, United Arab Emirates

Founded: 2005

Glassdoor: 3.6

Website LinkedIn Glassdoor