Data Scientist, Parloa

AI Agents & Generative AI

Salary not provided

SQL

MongoDB

Docker

Kubernetes

Python

Kafka

Redis

Terraform

MySQL

Azure

Spark

Mid and Senior level

Berlin

AI agent management platform

Job no longer available

AI agent management platform

501-1000 employees

B2BArtificial IntelligenceCustomer serviceSaaS

Job no longer available

Salary not provided

SQL

MongoDB

Docker

Kubernetes

Python

Kafka

Redis

Terraform

MySQL

Azure

Spark

Mid and Senior level

Berlin

501-1000 employees

B2BArtificial IntelligenceCustomer serviceSaaS

Company mission

To help companies create outstanding customer conversations with AI because people deserve great customer service.

Job

Company

Role

Who you are

3+ years of experience as a Data Scientist
Experience developing and owning production ML models and systems. Experience with LLMs, NLP, or information retrieval is a strong plus
Proficiency in Python and experience with using using Python in production
Experience working with big data technologies (e.g. Spark) and using ML Ops platforms (e.g. MLFlow)
Experience in leading small-sized technical projects (1-2 months roadmap)
Strong spoken and written communication skills in English

What the job involves

As a Data Scientist, you will evaluate and improve the performance of our AI Agents
This will involve developing evaluation tasks for agent behaviour, fine-tuning foundation models, researching and prototyping new AI Agent features and frameworks, and investigating issues affecting our customers
You’ll develop a deep understanding of the behaviour of our models and AI Agents
You’ll work directly with product engineering and sales teams, leading by example on evaluating and improving our product - from testing new AI system optimisation frameworks to fine-tuning STT models on new languages and accents
You’ll join the AI & Data Science Team, a collaborative group of Machine Learning Engineers and Data Scientists that own Parloa’s ML Evaluation Platform and the machine learning models that power our product
The team is responsible for keeping Parloa at the forefront of research and development of Generative AI and AI Agent based products
Take ownership of data science and machine learning projects that help us improve our generative AI product suite
Develop and evaluate production Agentic AI systems for real customer use cases
Directly support and collaborate with product engineering and sales, analyzing the performance of our AI products and prototyping new features
Evaluate and train or fine-tune a variety of models, including LLMs, intent classification, STT, and TTS models
Execute Machine Learning research and development projects end-to-end, rapidly turning new ideas into customer facing features
Our Tech stack (AI & Data): Python, OpenAI, LangGraph, SQL, Microsoft Azure, Kubernetes, Terraform, Docker, MongoDB, MySQL, Redis, Eventhubs (Kafka), PostHog, Databricks, DeltaLiveTables, Preset

Application process

Recruiter video call
Hiring Manager Interview
Technical Stage 1 (Data Science Coding Session)
Technical Stage 2 (Machine Learning Case Study)
Meeting the team

Our take

There is an inherent lack of efficiency in many call centres. This not only creates irritation for customers and negative experiences for agents but, as a result, it harms a company’s reputation whilst generating high costs for businesses.

On a mission to put an end to the madness of a call centre, Berlin-based Parloa offers a conversation AI platform that is changing the way businesses communicate with their customers. Using artificial intelligence, Parloa provides unique solutions for companies that makes their specific service smarter.

The company has attracted impressive funding, most recently in 2025, following a tripling of its revenue growth and a 2023 entry into the US market. This investment will be used to scale its operations across the US and EU and will support its product enhancement initiatives.

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

140% employee growth in 12 months

Glassdoor (4.4)

Company

Funding (last 2 of 5 rounds)

Jan 2026

$350m

SERIES D

May 2025

$120m

SERIES C

Total funding: $568.1m

Company HQ

Kollwitzkiez, Berlin, Germany

Leadership

Malte Kosub

(Co-Founder & CEO)

Previous co-founder and Managing Director for both Future of Voice and Wandnotiz.

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