01
TRCI-26-06855
Decision Scientist
This contract Decision Scientist role focuses on developing and improving analytical models for operational decision-making, working with existing Python pipelines and Databricks notebooks. The core requirements are hands-on Operations Research experience, especially LP/MILP formulation and infeasibility handling, applied ML/statistical modeling, strong maintainable Python, and experience with an optimization framework and solver. Candidates should have a relevant quantitative master’s degree and at least four years of analytical, OR, or ML solution-building experience. Supply chain, manufacturing, logistics, or procurement experience is useful; Databricks, Spark, Pyomo/GLPK, network modeling, and life-sciences supply chain exposure are preferred. The location is Poland and the engagement is contract; the work mode is not specified. Supply chain is presented as an ideal operating context rather than an exclusive industry requirement.
Position summary
- Location
- Poland
- Workplace
- Remote
- Employment
- Contract
- Experience
- Minimum 4 years and Maximum 6 years
Role overview
Why This Role Matters.
This contract Decision Scientist role focuses on developing and improving analytical models for operational decision-making, working with existing Python pipelines and Databricks notebooks. The core requirements are hands-on Operations Research experience, especially LP/MILP formulation and infeasibility handling, applied ML/statistical modeling, strong maintainable Python, and experience with an optimization framework and solver. Candidates should have a relevant quantitative master’s degree and at least four years of analytical, OR, or ML solution-building experience. Supply chain, manufacturing, logistics, or procurement experience is useful; Databricks, Spark, Pyomo/GLPK, network modeling, and life-sciences supply chain exposure are preferred. The location is Poland and the engagement is contract; the work mode is not specified. Supply chain is presented as an ideal operating context rather than an exclusive industry requirement.
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
Formulate analytical problems clearly, including decision variables, objective functions, constraints, assumptions, and appropriate treatment of infeasibility or trade-offs.
03
Work with existing Python analytical pipelines and Databricks notebooks; trace dependencies across data transformations, model logic, and downstream outputs before making changes.
04
Prepare and validate analytical inputs from demand forecasts, inventory, bills of materials, supplier data, and other operational datasets.
05
Develop, train, and evaluate ML models for applications such as classification, forecasting, anomaly detection, and ranking when supported by available data.
06
Validate solutions through appropriate testing, scenario/sensitivity analysis, and business-result reconciliation.
07
Write modular, maintainable, testable Python code; document model logic, implement regression tests, use version control, and troubleshoot data/model/runtime issues.
08
Collaborate with the Decision Science, Data Engineering, and Technology teams on implementation dependencies, testing, and production readiness.
Technology stack
Tools & Technologies.
The platforms and technologies you'll use to build modern, enterprise-grade solutions.
01
Python
Required
02
pandas
Required
03
NumPy
Required
04
Operations Research
Required
05
OR
Required
06
LP
Required
07
linear programming
Required
08
MILP
Required
09
mixed-integer linear programming
Required
10
Pyomo
Required
11
GLPK
Required
12
Gurobi
Required
13
optimization solver
Required
14
machine learning
Required
15
statistical modeling
Required
16
feature engineering
Required
17
time-series forecasting
Required
18
anomaly detection
Required
19
Azure Databricks
Required
20
Databricks notebooks
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
Master's degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Computer Science, or a similar quantitative field
At least 4 years of hands-on experience building analytical, Operations Research, or ML solutions
Optimization modeling fundamentals, including LP/MILP formulation, solver behavior, and practical infeasibility handling
Applied ML/statistical modeling, including feature engineering, training, validation design, metric selection, and result interpretation
Strong Python proficiency and ability to write maintainable analytical code using tools such as pandas and NumPy
Experience with an optimization modeling framework and LP/MILP solvers, such as Pyomo, GLPK, or Gurobi
Ability to understand, debug, and extend existing code and analytical models, and communicate technical design and results
Preferred
Nice to Have
Azure Databricks
PySpark or Apache Spark
Hands-on Pyomo and GLPK experience
Delta Lake and Unity Catalog
Supply network modeling, multilevel bills of materials, inventory optimization, disruption simulation, or graph-based analysis
Neo4j or Cypher
Time-series forecasting, anomaly detection, or ML ranking and recommendation
Pharmaceutical or life-sciences supply chain experience
GenAI-enabled analytics or conversational insights
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 Decision Scientist
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