01
TRCI-26-04928
Senior Data Scientist (Optimization & Applied ML - Supply Chain Decision Systems)
Senior Data Scientist contractor needed to build and improve large-scale decision systems for supply chain operations (routing, scheduling, resource allocation). The role is hands-on under a Data Science Lead, owning optimization and ML model components end-to-end: translating business constraints into MILP/heuristic formulations, integrating predictive ML inputs into optimization, debugging infeasibility/performance issues, and delivering scalable workflows in Python/SQL within Azure/Databricks. Strong stakeholder communication is required to explain assumptions, trade-offs, and outcomes.
Position summary
- Location
- Europe, United Kingdom
- Workplace
- Remote
- Employment
- Contract
- Experience
- Minimum 8 years and Maximum 15 years
Role overview
Why This Role Matters.
Senior Data Scientist contractor needed to build and improve large-scale decision systems for supply chain operations (routing, scheduling, resource allocation). The role is hands-on under a Data Science Lead, owning optimization and ML model components end-to-end: translating business constraints into MILP/heuristic formulations, integrating predictive ML inputs into optimization, debugging infeasibility/performance issues, and delivering scalable workflows in Python/SQL within Azure/Databricks. Strong stakeholder communication is required to explain assumptions, trade-offs, and outcomes.
Your Impact
Deliver Enterprise Value
Help organisations solve complex business problems through modern technology, consulting expertise and measurable outcomes.
Collaboration
Work Across Teams
Collaborate with consultants, architects, engineers and client stakeholders throughout the project lifecycle.
Growth
Learn Continuously
Gain exposure to enterprise technologies, certifications, mentoring and real-world project experience.
Career Path
Grow With Ubique
Build a long-term consulting career with opportunities to take on greater responsibility and leadership over time.
Responsibilities
What You'll Be Doing.
Every role at Ubique contributes directly to solving meaningful business challenges for our clients.
02
Apply machine learning techniques to support decision systems, including predictive modeling, feature engineering, and generating inputs for optimization models, while ensuring strong integration between ML and optimization frameworks
03
Translate business requirements into structured analytical and optimization problems, incorporating operational constraints and clearly communicating model assumptions, trade-offs, and outcomes to stakeholders
04
Diagnose and resolve model issues including infeasibility, performance bottlenecks, and data inconsistencies, while analyzing trade-offs across cost, service level, and operational feasibility
05
Develop and maintain data workflows using Python and SQL, and support scalable processing and deployment within cloud environments such as Azure and Databricks
06
Ensure data quality and model reliability by validating inputs, identifying gaps, and supporting feedback loops to improve model accuracy and alignment with operations
07
Collaborate with cross-functional teams, take ownership of model components, contribute to technical design discussions, and provide guidance to junior team members
Technology stack
Tools & Technologies.
The platforms and technologies you'll use to build modern, enterprise-grade solutions.
01
Python
Required
02
SQL
Required
03
Gurobi
Required
04
MILP
Required
05
Mixed Integer Linear Programming
Required
06
Optimization
Required
07
Operations Research
Required
08
VRP
Required
09
Vehicle Routing
Required
10
Scheduling
Required
11
Resource Allocation
Required
12
Heuristics
Required
13
Machine Learning
Required
14
Predictive Modeling
Required
15
Feature Engineering
Required
16
Azure
Required
17
Databricks
Required
18
Cloud
Required
19
Decision Systems
Required
Requirements
Skills & Experience.
We value curiosity, collaboration and continuous learning. If you don't meet every requirement but believe you can make an impact, we'd still love to hear from you.
Essential
Required Qualifications
8+ years experience in data science, operations research, or related field
Optimization modeling (MILP)
Vehicle Routing Problem (VRP) and/or routing optimization
Scheduling optimization
Resource allocation optimization
Heuristic approaches for optimization
Optimization solver experience (Gurobi)
Applied machine learning (predictive modeling)
Feature engineering
Integration of ML outputs into optimization/decision systems
Python
SQL
Model debugging (infeasibility diagnosis, performance bottlenecks)
Data validation and data quality checks
Ability to translate business requirements into analytical/optimization problems
Communication with technical and non-technical stakeholders
Preferred
Nice to Have
Supply chain/logistics/operations domain experience
Large-scale optimization techniques
Distributed data systems experience
Cloud-based analytics platform experience
Azure familiarity
Databricks familiarity
Mentoring/guiding junior team members
Experience with scalable processing and deployment in cloud environments
What you'll gain
More Than Just A Job.
We're committed to helping every team member grow professionally, personally and technically while working on meaningful projects.
Global Exposure
Collaborate with international clients and multicultural teams on enterprise programmes.
Continuous Learning
Expand your expertise through mentoring, certifications and hands-on project experience.
Career Growth
Take ownership, develop leadership skills and grow your consulting career over time.
Flexible Working
Hybrid and remote collaboration designed around trust and delivering exceptional outcomes.
People First
Join a supportive culture where collaboration, respect and long-term relationships come first.
Enterprise Projects
Work on meaningful technology initiatives for leading organisations across industries.
Apply
Apply for Senior Data Scientist (Optimization & Applied ML - Supply Chain Decision Systems)
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