Trainee Data Science (f/m/d) – Focus NLP

STATWORX GmbH; Frankfurt; Vor Ort; EUR 40.000 - 50.000; Vollzeit

Zusammenfassung

A leading consulting and development company in Frankfurt seeks trainees for their AI Development team. The role involves designing generative AI solutions and working closely with clients. Candidates should have a strong background in data science and excellent communication skills. The position offers a collaborative workplace with flexible working options and numerous benefits.

Leistungen

Flexible working hours

Remote office options

Jobticket Deutschland

Wellpass sports and wellness offers

Apple IT equipment

Regular team events

Employee discounts

Childcare support

Free drinks and snacks

Qualifikationen

• Practical experience in data science and consulting.
• Knowledge in ML & Deep Learning, especially transformers and generative AI.

Aufgaben

• Design generative AI and NLP solutions as part of project teams.
• Implement robust ML pipelines on various infrastructures.

Kenntnisse

Machine Learning

Deep Learning

NLP

Communication

Ausbildung

Bachelor's or Master's degree in data science

Bachelor's or Master's degree in business administration/economics

Bachelor's or Master's degree in statistics

Bachelor's or Master's degree in computer science

Bachelor's or Master's degree in business informatics

Tools

HuggingFace Transformers

OpenAI APIs

PyTorch

Jobbeschreibung

About us

statworx is a leading consulting and development company for data and AI, based in Frankfurt am Main. We offer strategic consulting for medium-sized businesses and global corporations. We develop innovative data and AI solutions across all business areas and corporate functions. We empower people at all levels of expertise with our data and AI education formats. In short: We support companies in all aspects of digital transformation – for over 10 years, in more than 1000 data and AI projects, and for over 100 clients from almost all industries.

Our AI Development department serves as a facilitator for Data & AI transformation. We are taking a holistic approach, from the initial evaluation of AI maturity, through the design and development of data and AI solutions, to the practical implementation and scaling of AI solutions. Through our deep expertise in Data Engineering, Data Science, Machine Learning, we ensure that our clients gain the maximum value from their data.

For our AI Development team, we are looking for trainees who we will specifically prepare for their future role as Junior Consultants with a focus on Data Science within one year. You can find detailed information about our trainee program here.

Your tasks

• You will design generative AI and NLP solutions as part of our project teams and regularly interact closely with our clients and various stakeholders
• You will act as a developer, working on various NLP use cases such as knowledge management with retrieval-augmented chatbots or fine-tuning language models
• You will implement robust, scalable, and high-performance ML pipelines on different infrastructures (e.g., Azure), following current best practices
• You will support the development of products and the further development of our product portfolio and contribute to the creation of marketing content
• You stay up to date with the latest developments in NLP and AI (e.g., repositories, methods, tools, papers)
• You will support our (senior) consultants in their daily work, for example by preparing client meetings and presentations

Your profile

• You have a Bachelor's or Master's degree, preferably in data science, business administration/economics, statistics, computer science or business informatics
• You have already gained practical experience in the field of data science as well as in consulting
• You possess deep knowledge in Machine Learning & Deep Learning, particularly regarding transformers, LLMs, and generative AI
• You have hands-on experience with common NLP tools and methods, such as HuggingFace Transformers, OpenAI APIs, tokenizers, and ML frameworks (e.g., PyTorch)
• You ideally bring initial experience with cloud deployments and ML Ops, e.g. on Azure, GCP or AWS
• You are a strong communicator, have a very good command of German and English (at least C1) and can prepare and present complex issues in a way that is appropriate for the target group
• In addition, you are characterised by your reliability as well as your thorough and structured way of working
• You enjoy occasional business trips to our customers on site in Germany, Austria, or Switzerland

Our offer

• Working on exciting future topics using state-of-the-art technologies in the area of Machine Learning Operations, DevOps and AI
• A welcoming collaborative workplace with flat, team-based structures
• Short decision routes and processes, combined with an agile work style
• A modern, high-quality furnished office, which invites to exchange ideas and spend time, as well as the possibility to work flexibly from other locations, including up to 4 weeks from other EU countries
• Flexible working hours and locations (remote office options)
• Reduced public transport ticket (Jobticket Deutschland) and access to a wide range of sports and wellness offers (Wellpass) at a reasonable price
• And many other benefits, such as Apple IT equipment (MacBook Pro), regular team events, employee discounts, childcare support, free drinks and snacks

Your application

Simply apply using the application form below and attach your current CV including a description of your software and methodological skills. We will get back to you as soon as possible. If you have any questions about your application or the various entry opportunities, you can reach us by phone on [phone] or at [e-mail].

What is particularly important to us is that we value the uniqueness of each person and always treat each other as equals. Different backgrounds, attitudes and ideas enrich us and form the basis of our success. We therefore welcome every application - regardless of gender, nationality, ethnic and social background, religion, ideology, disability, age, sexual orientation and identity.