Ubique Systems

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
Apply now

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.

01

Under Grad or masters degree, Data Science, Statistics, or related STEM fields

02

3+ years of relevant or equivalent experience, experience in finance industry is a plus

03

knowledge of natural language processing, deep neural network, Generative AI and agentic systems

04

knowledge of a variety of machine learning techniques such as classification, clustering, optimization

05

hands on experience of using programming languages (Python, R, SQL, etc.) to manipulate data, develop models and derive insights

06

hands on experience of databases and analytical technologies in the industry, such as Postgres, Greenplum, Hadoop, etc.

07

experience with Tableau/Power BI will be an asset

08

work with stakeholders to identify opportunities to leverage AI and machine learning to support Wealth Management business

09

use Generative AI and agentic systems to improve business outcomes

10

analyze and explain financial data from various sources to provide actionable insights for Financial Advisors and their Clients

11

build and deploy machine learning and statistical methods to optimize the business process and help with targeted marketing and sales efforts for financial products

12

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.

01

Power BI

02

Microsoft Power BI

03

Tableau

04

Python

05

R

06

SQL

07

PostgreSQL

08

Postgres

09

Greenplum

10

Hadoop

11

machine learning

12

classification

13

clustering

14

optimization

15

NLP

16

natural language processing

17

deep learning

18

deep neural networks

19

Generative AI

20

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

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