Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 32 days ago

Data Scientist

multitude31 open roles

Where
Vilnius Office
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowData Scientistmultitude · Vilnius Office

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on multitude's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

10.5% of postings close within 7 days. Measured by our own scanner across the market. multitude postings stay open a median of 11 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.3%3 days
  3. 10.5%7 days
  4. 15.9%14 days
  5. 34.1%30 days
This job: posted 32 days ago

multitude median: 11 days open

The posting

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.

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.

Key Responsibilities

  • 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

Requirements

  • 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

Nice to Have

  • 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)

The salary range is €4,000 to €5,500 gross monthly. Our final offer to you will be set up fairly, considering your skills and experience.

We offer:

  • 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.

We may use artificial intelligence (AI) tools to support specific parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses against predefined criteria. These tools assist our recruitment team but do not replace human judgment. All final hiring decisions are made by human recruiters.

By proceeding to apply for a job with us, you confirm that you have read and accepted our Recruitment Privacy Policy

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against multitude's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on multitude's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    multitude's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.