TRCI-26-06728
Senior Data Scientist – Wealth Management (Generative AI & Machine Learning)
This contract role will apply data science, machine learning, and generative AI to Wealth Management, helping Financial Advisors and clients interpret financial data and investment decisions. Core requirements include Power BI, programming with Python, R, and/or SQL, machine-learning methods, NLP and deep learning, generative AI and agentic systems, and hands-on use of databases or analytical technologies. Tableau and prior finance-industry experience are advantageous; the description also calls for model documentation and governance, stakeholder collaboration, and independent project management. The structured input indicates 6–8 years of experience, while the description specifies 3+ years, so the senior experience band is guided by the structured input and the discrepancy is noted. The role is located in Wroclaw and is contract-based; work mode is not specified, and an undergraduate degree in Data Science, Statistics, or a related STEM field is indicated.
Position summary
- Location
- Poland
- Workplace
- On-site
- Employment
- Contract
- Experience
- Minimum 6 years and Maximum 8 years
Role overview
Why This Role Matters.
This contract role will apply data science, machine learning, and generative AI to Wealth Management, helping Financial Advisors and clients interpret financial data and investment decisions. Core requirements include Power BI, programming with Python, R, and/or SQL, machine-learning methods, NLP and deep learning, generative AI and agentic systems, and hands-on use of databases or analytical technologies. Tableau and prior finance-industry experience are advantageous; the description also calls for model documentation and governance, stakeholder collaboration, and independent project management. The structured input indicates 6–8 years of experience, while the description specifies 3+ years, so the senior experience band is guided by the structured input and the discrepancy is noted. The role is located in Wroclaw and is contract-based; work mode is not specified, and an undergraduate degree in Data Science, Statistics, or a related STEM field is indicated.
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.
3+ years of relevant or equivalent experience, experience in finance industry is a plus
knowledge of natural language processing, deep neural network, Generative AI and agentic systems
knowledge of a variety of machine learning techniques such as classification, clustering, optimization
hands on experience of using programming languages (Python, R, SQL, etc.) to manipulate data, develop models and derive insights
hands on experience of databases and analytical technologies in the industry, such as Postgres, Greenplum, Hadoop, etc.
experience with Tableau/Power BI will be an asset
work with stakeholders to identify opportunities to leverage AI and machine learning to support Wealth Management business
use Generative AI and agentic systems to improve business outcomes
analyze and explain financial data from various sources to provide actionable insights for Financial Advisors and their Clients
build and deploy machine learning and statistical methods to optimize the business process and help with targeted marketing and sales efforts for financial products
using machine learning and generative AI to understand, explain and guide client investment decisions
Technology stack
Tools & Technologies.
The platforms and technologies you'll use to build modern, enterprise-grade solutions.
Power BI
Microsoft Power BI
Tableau
Python
R
SQL
PostgreSQL
Postgres
Greenplum
Hadoop
machine learning
classification
clustering
optimization
NLP
natural language processing
deep learning
deep neural networks
Generative AI
GenAI
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
Undergraduate degree in Data Science, Statistics, or a related STEM field
Power BI report and dashboard creation
Programming for data manipulation and modeling using Python, R, and/or SQL
Machine-learning techniques including classification, clustering, and optimization
Natural language processing and deep neural networks
Generative AI and agentic systems
Hands-on experience with databases and analytical technologies
Model performance documentation, review, and governance
Preferred
Nice to Have
Finance-industry experience
Tableau
Experience with Postgres, Greenplum, or Hadoop
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 – Wealth Management (Generative AI & Machine Learning)
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