Midmultitude.com

Multitude Paskelbta prieš 11 d.

Data Scientist

SQL

AWS

Google Cloud

Trumpai apie poziciją

Pagal skelbimo duomenis

Multitude ieško darbuotojo į poziciją „Data Scientist“ (Mid lygis). Darbas hibridinis, Vilnius. Siūlomas atlyginimas – 4 000–5 500 €/mėn bruto. Skelbime minimos technologijos: A/B Testing, AI, CI/CD, Hypothesis Testing, Machine Learning, Python.

Atlyginimas

4 000 – 5 500 €/mėn.

Bruto/mėn. · +36 % nei Mid mediana

Lygis

Mid

2–5 metai patirties. Savarankiškai įgyvendini funkcionalumą nuo užduoties iki produkcijos ir padedi jaunesniems.

Skaityti daugiau

Darbo būdas

Hibridinis

Vilnius

Ką veiksi

Own the full lifecycle of machine learning solutions: problem framing, data exploration, feature engineering, model development, deployment, and monitoring
Develop and productionize models for credit scoring, marketing optimization, collections, and other core business problems
Work with large-scale data to build robust data pipelines and feature datasets
Deploy and manage models using Azure Machine Learning, including experiment tracking, model versioning, and lifecycle management
Collaborate closely with stakeholders (product, risk, marketing, engineering) to identify high-impact opportunities and translate them into data solutions
Design, implement, and analyze A/B tests and experiments, ensuring statistically sound and business-relevant conclusions
Build monitoring frameworks to track model performance, detect data/model drift, and ensure long-term reliability
Ensure models meet regulatory and explainability requirements (e.g., credit decision transparency)
Communicate insights and model behavior clearly to both technical and non-technical stakeholders

Rodyti dar 5

Privalumas

Experience in fintech domains such as credit risk, fraud detection, or collections optimization
Experience working with distributed data processing frameworks (e.g., Apache Spark, Databricks)
Familiarity with MLOps practices (CI/CD, model registries, pipeline orchestration)
Experience with feature stores and production data pipelines
Experience working in regulated environments (e.g., GDPR, model validation standards)
Job description
Role Overview
We are looking for a Data Scientist to build and deploy end-to-end machine learning solutions that power key fintech use cases such as credit risk modeling, customer lifecycle optimization, fraud detection, and collections strategies.

Rodyti dar 4

Ką siūlo

A Truly Global Workplace – work with professionals from 40+ nationalities, bringing diverse expertise, perspectives, and a collaborative international culture.
Hybrid & Flexible Work – we support work-life balance with remote work options and modern office spaces across Europe.
A Culture of Growth – we invest in your future, offering LinkedIn Learning, mentorship, and professional development programmes, including HiPo and leadership development initiatives to support career advancement.
Financial Growth Opportunities – benefit from our share purchase matching programme, allowing you to invest in your future with matched contributions and long-term financial rewards.
Workation Programme – work remotely from different countries for up to 2 months per year, experiencing new cultures while staying connected and productive.

Pozicijos aprašymas

Santrauką ruošiame – kol kas originalus skelbimo tekstas.

Degree in Data Science, Statistics, Mathematics, Econometrics, or a related field

Strong programming skills in Python and SQL (R is a plus)

Solid understanding of machine learning techniques and their practical trade-offs

Experience with Azure Machine Learning or similar platforms (AWS SageMaker, GCP Vertex AI)

Experience deploying models into production and maintaining them (monitoring, retraining, versioning)

Strong knowledge of experimentation and statistical methods (A/B testing, hypothesis testing)

Experience with model explainability techniques (e.g., SHAP, LIME), especially in regulated environments

Ability to translate complex analyses into clear business insights

Fluent in English

This is a role where your work directly influences key business decisions across risk, growth, and collections. As a Data Scientist, you’ll operate at the intersection of data, product, and engineering—developing scalable, production-level machine learning solutions in a modern Azure ML environment. You will take ownership of the full ML lifecycle, from problem definition to deployment and monitoring, while collaborating closely with stakeholders to turn data into insights that drive real, measurable impact.

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Aktyvus Galioja dar 20 d.

Atlyginimas

4 000 – 5 500 €/mėn.

Bruto, neatskaičius mokesčių

+36 % nuo Mid medianos 3 500 €

Top 16 %

Lyginama su 263 Mid lygio skelbimais

Į rankas ≈ 2 420–3 328 €/mėn. Iš 4 750 €: Sodra −926 € (19,5 %), GPM −950 € = 2 874 €. 2026 m. mokesčiai, be II pakopos kaupimo.

Palyginti su mediana +20 %+36 % 7

Visa IT rinka460 skelb. · 3 750 €+27 %
Duomenys ir AI88 skelb. · 3 950 €+20 %
Mid lygis263 skelb. · 3 500 €+36 %
Vilnius368 skelb. · 3 950 €+20 %
AI189 skelb. · 4 300 €+11 %
Python82 skelb. · 4 500 €+5 %
SQL72 skelb. · 4 500 €+6 %

IT mediana −3,8 % per savaitę

Pagal 460 aktyvius IT skelbimus su bruto atlyginimu aplikuok.lt, €/mėn., intervalo vidurys.

Sritis

Duomenys ir AI

Lygis

Mid

Darbo būdas

Hibridinis

Miestas

Vilnius

Kandidatuoti

Visi įmonės darbai

Šaltinis: CVonline.lt

Galioja iki 2026-12-05

Ar aiškus šis skelbimas?

Padėk kitiems: ar iš skelbimo aišku, ką dirbsi, kiek uždirbsi ir kaip vyksta atranka?

Apie įmonę

Multitude

multitude.com ↗

Multitude is a listed European FinTech company offering digital lending and online banking via Ferratum, CapitalBox and Multitude Bank across 17 European countries.

Atviros pozicijos: 3
Atlyginimo mediana: 4 750 €
Nuotoliu ar hibridiškai: 100 %
Miestai: Vilnius

Technologijos Multitude skelbimuose

CSS

JavaScript

PHP

Security Best Practices

Technical Documentation

Git

MySQL

Multitude karjera: visi darbai 3 →

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