Data Scientist (m/f/d) (13)

Reply S.p.A.; München; Vor Ort; EUR 50.000 - 75.000; Vollzeit

Zusammenfassung

A leading data science consultancy in Munich seeks a Data Science Consultant. The ideal candidate will develop algorithms and solve business problems using their expertise in Python, machine learning, and cloud platforms like AWS and Azure. This role involves working on innovative projects, training opportunities, and social programs. A degree in a relevant field and a strong command of English, along with good knowledge of German, are required.

Leistungen

Public transport ticket within Munich

Gym-membership subsidy

Home-office contracts

Training and certification opportunities

Award-winning office spaces

Company car scheme

Qualifikationen

• Degree with excellent results in a relevant field.
• Strong proficiency in Python or R.
• Hands-on experience with cloud platforms is mandatory.
• Basic experience in data engineering is required.
• Genuine interest in exploring new industries and technologies.

Aufgaben

• Identify and analyse problems in an analytical framework.
• Develop state-of-the-art algorithms to solve business problems.
• Implement algorithms at scale and automate workflows.
• Communicate results effectively to clients.

Kenntnisse

Python

Machine Learning

Statistics

German (Good Knowledge)

Data Engineering

Ausbildung

(Business) Informatics, Mathematics, Physics or Business Administration

Tools

AWS

Azure

GCP

Jobbeschreibung

At Machine Learning Reply Germany we strive to work on leading-edge data science projects with our clients for which we are seeking Data Science consultants with a strong technical background.

Machine Learning Reply, with its sister company in Italy and over 15,000 employees at Reply globally, is a fast-growing consultancy focused on solving problems with Data Science and the right organizational frameworks as their backbone. We are a tight‑knit, laid back, but seriously motivated unit that aims to be involved at conferences and in community of practice with our tech partners.

We offer tailor‑made end‑to‑end solutions in the Data Science area that cover the entire project life cycle – from initial strategy consulting to data architecture and infrastructure issues to data processing and modeling using machine learning algorithms.

We have extensive expertise in the broad Data Science spectrum in all key industries of the German HDAX‑companies. With focus on open source and cloud technologies we enable our customers to successfully introduce and implement new data‑driven solutions and to optimise already existing processes and products.

Responsibilities:

• Identify and analyse problems in an analytical framework
• Develop state‑of‑the‑art algorithms using the latest methods and technologies to solve business problems
• Implement algorithms at scale and automate workflows
• Use experience from different quantitative fields to solve problems
• Communicate results effectively to our clients
• Benefit from our team, learning resources, hackathons and other sources to drive your technical development and have a presence in the machine learning community
• Work across technology stacks (e.g. Spark, Azure, AWS, GCP, ELK, etc.)

What we offer you:

• Access to work on projects across industries (large and mid‑market companies in Banking, Insurance, Automotive, Retail, etc.)
• Very active group social programme – including conference funding, team building, group events, Reply Exchange
• Recognition for Innovation to foster your personal development
• Work in an open, flat environment, within a broad Reply knowledge‑sharing network (more than 90 autonomous Reply groups across 8 countries)
• Office space in downtown Munich with access to Stammstrecke
• Training and certification encouraged
• Home‑office contracts
• State‑of‑the‑art work equipment
• Award‑winning office spaces for an excellent work experience
• Public transport ticket within Munich
• Gym‑membership subsidy for a gym of your choice
• Company car scheme

• A degree with excellent results in (Business) Informatics, Mathematics, Physics or Business Administration, along with relevant professional experience
• Strong proficiency in Python or R, machine learning, and statistics – ideally with expertise in at least one area such as NLP, recommender systems, time series, or computer vision
• Hands‑on experience with cloud platforms (e.g. AWS, Azure, GCP) is mandatory
• Basic experience in data engineering (e.g. working with data pipelines, ETL processes, or databases) is also required
• A genuine interest in continuously exploring new industries and technologies
• Experience in prioritising customer needs and developing business value‑oriented solutions or applications
• Excellent command of English and good knowledge of German
• Willingness to travel within Germany, depending on project requirement