Senior/Mid Data Scientist, Aily Labs
More information about location
2 days a week in office
Decision intelligence app
Be an early applicant
Decision intelligence app
201-500 employees
Be an early applicant
More information about location
2 days a week in office
201-500 employees
Company mission
To transform ways of working by empowering businesses with meaningful AI.
Role
Who you are
- Someone who thrives at the intersection of business, analytics, and AI and wants to ensure AI solves the right problems with measurable impact
- A scientist and builder: you explore multiple approaches, analyze results, and iterate fast, balancing cutting‑edge techniques with simple, scalable solutions
- A strong communicator who adapts the message to different audiences and enjoys working cross‑functionally with product, engineering, and business stakeholders
- Someone with a startup mindset: comfortable with ambiguity, proactive, and hands‑on when something needs fixing or improving
- Ready to Lead Boldly – helping business leaders make decisive decisions powered by real-time AI insights
What the job involves
- The Data Science Domains Department powers business-critical decision-making across four key areas of enterprise operations. We build and deploy AI-driven features that transform how business leaders understand and act on complex data challenges in their specific domains
- Each domain has distinct requirements, challenges, and opportunities—but all share the mission of delivering real-time, actionable AI insights that drive measurable business impact
- Mid Data Scientist - 2–4 years of experience
- Design and implement end-to-end data pipelines (ingestion → transformation → quality → delivery) for multiple use cases with growing autonomy
- Build and maintain data infrastructure components (streaming pipelines, transformations, APIs, catalogs) using modern data tools
- Implement robust data quality frameworks, monitoring, and alerting systems at scale
- Optimize data workflows for cost, performance,e and reliability across multiple datasets
- Mentor junior team members on data engineering best practices and tooling
- Senior/Lead Data Scientist – 4+ years
- All of the above +
- Have comprehensive MLOps expertise, advanced Python/SQL skills, and domain specialization; enforce code quality standards across the team
- Own key features and projects; design and improve models, pipelines, and experimentation frameworks
- Lead 1+ major projects as AI lead with full accountability; break down work, assign tasks, and manage multiple workstreams with stakeholder alignment
- Communicate and align with internal/external stakeholders; turn business requirements into AI solutions; make speed vs. quality trade-offs
- Provide technical mentorship; set modeling standards and drive cross-functional delivery with PMs, engineers, and customers
- Our Four Domains:
- Finance (FIN): We enable smarter, faster financial decision-making across the enterprise by partnering with Finance teams to improve forecasting accuracy, planning agility, and financial transparency through AI-driven solutions. We tackle volatile revenue and demand signals, large-scale multi-dimensional forecasting, and resource allocation under uncertainty, while ensuring models remain explainable and actionable. Our work moves Finance beyond reactive reporting toward proactive data-driven decision-making, powered by production-grade ML systems at enterprise scale
- Manufacturing & Supply Chain (M&S): We optimize the end-to-end manufacturing and supply chain with cutting-edge AI. Our team works closely with supply chain champions across Fortune 500 companies to drive impact: from helping pharmaceutical companies to avoid out-of-stocks to reducing machine breakdown in consumer good factories. Our solutions consist of a mix of statistical, machine learning, GenAI, Knowledge Graph, and agentic techniques to tackle challenges such as low signal demand forecasting, explainability for supply chain autonomy, and providing detailed actionable recommendations based on a mix of textual, image, and structured data
- Research & Development (R&D): We are passionate about clinical operations and portfolio management. Our team partners closely with pharmaceutical and biotech companies to deliver innovative AI-driven solutions that optimize clinical trial recruitment and accelerate pipeline innovation. Some of the exciting use cases we’ve worked on include predicting patient enrollment, optimizing trial design, building knowledge graphs across the pharma ecosystem, and more
- Cross-Functional (XF): this team addresses critical business areas that extend beyond the scope of our other specialized domains. We apply AI to diverse functions spanning procurement, people analytics, commercial operations, and more - developing solutions that transform these essential but often underserved areas. By focusing on these complementary business functions, we ensure our AI platform delivers comprehensive value across the entire enterprise, helping organizations unlock insights and efficiencies in every corner of their operations
Our take
Data-led processes are becoming a differentiator for businesses across sectors. The ability to make smarter decisions faster is a great competitive edge and one that has been supercharged by the wider adoption of artificial intelligence. Supporting businesses to act smarter, Aily Labs supplies a decision intelligence app powered by generative AI.
The platform empowers users to increase both productivity and performance through deeper, smarter and faster decision-making. What makes Aily stand out from other offerings is that it does not build costly LLMs from scratch, instead using other machine-learning approaches to power many of its features.
With the ability to support revenue maximisation across all parts of a business, Aily's value is clear. It's no surprise then that the company has raised substantial funding. It plans to invest this in global expansion and to bolster its genAI teams, accelerating use cases and introducing the ability to generate “competitive intelligence” on rival companies from external sources.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (2 rounds)
Nov 2025
$80m
SERIES B
Aug 2023
$20.9m
SERIES A
Total funding: $100.9m
Company benefits
- Global company and culture
- Hybrid working model
- Fast growth path
Company HQ
Old Town, Munich, Germany
Leadership
Bianca Diana Anghelina
(Co-Founder)Previously the Head of Global Digital Finance at Novartis, Head of Global Business Planning and Analysis at Sandoz and Senior Consultant at BMW.
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