Sopra Steria
IT consulting, digital services, and transformation
Associate Manager Data Science & AI
Hybrid work within Germany, with work from offices, client sites, and home; temporary work may be available in defined EU countries.
About the job
- A very well-completed degree in business informatics, data science, mathematics, physics, or economics is required.
- Several years of practical experience in data science, artificial intelligence, or generative artificial intelligence projects, ideally in a consulting or enterprise environment, are required.
- Very strong knowledge of relevant technologies and platforms, especially Python and SQL, as well as experience with cloud platforms, artificial intelligence services, and data or machine-learning platform architectures, is required.
- A deep understanding of modern machine-learning and artificial-intelligence concepts across the entire model and development process, including exploratory data analysis, feature engineering, model evaluation, and production artificial-intelligence architectures, is required.
- Very strong German language skills at C1 level or above and English language skills are required.
- Develop large-language-model-based systems, generative-artificial-intelligence applications, artificial-intelligence multi-agent architectures, and agentic workflows.
- Develop solutions involving retrieval-augmented generation, GraphRAG, intelligent automation, and advanced document processing.
- Create scalable, secure, and regulatorily compliant enterprise artificial-intelligence solutions using the Sopra Trusted AI Platform and partner technologies such as Microsoft, Mistral, and Haystack.
- Own customer projects across the full lifecycle, from use-case identification, architecture, and solution design through implementation, scaling, and handover to operations.
- Steer projects and teams from technical, functional, and commercial perspectives.
- Contribute expertise to business development, present artificial-intelligence solutions to management, and participate in offers, pitches, requests for proposals, and proof-of-concept engagements.
- Act as a sparring partner for customers, advance artificial-intelligence strategies, and expand the generative-artificial-intelligence portfolio, particularly multi-agent systems.
- Work across Germany in company offices, at customer sites, and from home according to customer and project needs.
- Experience with large-language-model-based systems, retrieval-augmented generation, artificial-intelligence multi-agent architectures, and prompt engineering is preferred.
- A strong software-engineering perspective on scalable artificial-intelligence solutions is preferred.
About the company
Sopra Steria provides consulting, digital services and solutions to help large organizations transform their business through technology. Its offerings cover strategy, systems integration, cloud, cyber security, software development, and managed services, designed to be delivered end to end—from assessing needs and designing a plan to implementing and operating IT systems. The company combines deep knowledge of many industries with a collaborative approach to tailor projects to each client and to deliver measurable, sustainable improvements in performance. Differentiators include its European scale (about 51,000 employees across roughly 30 countries), broad scope—from strategy to operation—and emphasis on practical outcomes that help clients stay competitive. The group’s goal is to put digital to work for its clients in a way that creates a positive, more productive future for all stakeholders.
Company Size
10,001+
Company Stage
IPO
Headquarters
Paris, France
Founded
1968
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Simplify's Take
What believers are saying
- H1 2026 revenue grew 4.1% to €2.959 billion, with 9.6% operating margin.
- Underlying organic growth accelerated to 5.3% in Q2 2026, lifting guidance.
- Defense, security, and space drove momentum after May 2026 acquisitions.
What critics are saying
- Sopra Steria's DWP challenge against Capita targets a 2028 trial and damages.
- The SFT program's conclusion still drags 2026 revenue by roughly two points.
- A failed UK shared-services strategy would hollow out SSCL's government franchise.
What makes Sopra Steria unique
- Sopra Steria deepens sovereign defense and space capabilities with Starion, Nexova, and Uavia.
- CIMPA plus Digital Product Simulation expands Dassault Systèmes 3DEXPERIENCE PLM reach in Europe.
- Red Hat and Curiosity partnerships position Sopra Steria for sovereign edge-AI deployments.
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Benefits
Remote Work Options
Flexible Work Hours
Health Insurance
Paid Vacation
Paid Holidays
PTO/vacation
Unlimited Paid Time Off
Flexibility in schedule
Company News
Sopra Steria has completed its acquisition of Digital Product Simulation through its CIMPA subsidiary, expanding the European technology group's product lifecycle management and digital engineering capabilities. Financial terms were not disclosed. Digital Product Simulation provides simulation and PLM solutions to industrial customers, supporting companies in digitally designing, testing and managing complex products throughout their lifecycles. The business generated approximately €12 million in revenue under IFRS during 2025 and employs over 115 engineers specialising in digital simulation and PLM systems. The acquisition strengthens Sopra Steria's ability to offer end-to-end PLM services and expands its capabilities involving Dassault Systèmes' 3DEXPERIENCE platform. The acquired team will join CIMPA, Sopra Steria's PLM-focused subsidiary. Sopra Steria expects the acquisition to enhance support for industrial companies in aviation, defence and nuclear energy sectors.
Sopra Steria has completed a €40 million share buyback programme announced in May 2026. Between 27 May and 29 July 2026, the European tech company purchased 271,471 shares at an average price of €147.35 per share. The buyback represents 1.4% of shares outstanding. The repurchased shares are intended to be retired. Sopra GMT, the group's management holding company, will ensure it does not exceed 30% of voting rights following the retirement by converting shares to bearer shares. Sopra Steria employs 51,000 people across nearly 30 countries and generated revenues of €5.6 billion in 2025. The company provides consulting, digital services and solutions to clients across Europe.
Sopra Steria reported revenue of €2,958.9 million for the first half of 2026, up 4.1% in total. Organic growth reached 3.0%, with underlying organic growth at 4.9%. The company's operating margin on business activity improved to 9.6%, compared to 9.2% in the first half of 2025. Net profit attributable to the group rose 3.0% to €146.3 million. Underlying organic growth accelerated in Q2 to 5.3%, up from 4.4% in Q1. Free cash flow stood at -€143.6 million, a slight improvement from -€145.9 million in the same period last year. Based on these results and second-half outlook, Sopra Steria revised its full-year organic revenue growth target upward whilst confirming other targets.
Sopra Steria has appointed Laura Chaubard to lead its Defence, Security and Space vertical, effective 1 September 2026. A graduate of École Polytechnique and former director general of the institution, Chaubard will join the group's executive committee. The vertical accounted for 13% of Sopra Steria's revenue in 2025 and serves armed forces, governments and critical infrastructure. The appointment comes as Europe increases defence and security spending whilst seeking strategic autonomy from non-European players. In May 2026, Sopra Steria acquired Starion and Nexova, strengthening its capabilities in space and cybersecurity. The company's subsidiary CS Group is a recognised integrator of critical defence and security systems.
Sopra Steria has extended its strategic collaboration with Red Hat to industrialise sovereign-ready embedded AI for deployment from data centres to constrained field equipment. Announced at Eurosatory, the initiative targets environments where AI is most critical, including defence systems, public services and critical infrastructure. The solution addresses the challenge of moving AI from proof of concept to reliable field operation. Red Hat provides open building blocks whilst Sopra Steria integrates, secures and operates them as a deployable system. The platform uses Red Hat OpenShift AI for model training, Red Hat Device Edge for lightweight models on field equipment, and Red Hat Edge Manager for automated maintenance across device fleets. Applications include transport fleet logistics, public terminal infrastructure, and regulated communications, enabling real-time processing whilst maintaining operational continuity during connectivity disruptions.