Principal Data Scientist, Aily Labs
MAD/BCN
+ Performance bonus
Decision intelligence app
Open for applications
Decision intelligence app
201-500 employees
Open for applications
+ Performance bonus
201-500 employees
Company mission
To transform ways of working by empowering businesses with meaningful AI.
Role
Who you are
- We’re looking for an experienced professional (8+ years of experience) who thrives at the intersection of business, analytics, and AI: someone who not only trains models but also deeply understands the business context in which they’re applied
- Technical stack: You are comfortable writing and debugging in Python and SQL
- You have hands-on experience training or fine-tuning ML models (classic ML or LLMs), and have deep expertise in at least one technical area (time series, optimization, recommendations, causal inference…)
- Business & product sense: You understand that AI is only valuable if it moves business metrics
- You are skilled at identifying high-impact problems, choosing the right models and approaches, and validating your work with users and stakeholders
- You prioritize by impact vs effort and measure success using both model performance and business KPIs
- You are able to create and lead a product roadmap
- Scientist & builder: Curious and persistent, you try multiple approaches, analyze results, and iterate fast
- You know when to experiment with cutting-edge techniques and when to pick simple, reliable solutions that can scale
- You can break complex problems into shippable, value-adding steps
- Communication & influence: You explain complex results clearly to internal & external stakeholders, adapt your message to different audiences, and are able to lead cross-functional teams with product, engineering, and business
- Startup mindset: You are comfortable with ambiguity and open-ended problems
- You are autonomous and proactive: when you see something broken, you fix it or propose improvements
- You are able to lead teams through change
- Leader and expert: Act as a technical lead and trusted business expert
- Mentor and level up teammates, and turn expert domain knowledge of at least one area (e.g. , finance, supply chain, retail, pharma) into a clear roadmap that delivers measurable business impact
- Bonus points: PhD in a technical field, strong knowledge of software engineering best practices, familiarity with state-of-the-art LLMs/agentic systems
What the job involves
- Work on high-impact AI problems with forecasting, classification, regression, recommendations, LLMs or agents
- Learn how to take ideas from inception to production, having an impact on Fortune-500 companies
- Collaborate with talented Data Scientists, ML Engineers, Data Practitioners, PMs and domain experts
- Lead, design and maintain AI-driven features (forecasting, classification, regression, recommender systems, LLM-powered features…) to effectively solve business challenges
- Own delivery across multiple workstreams: shape the roadmap with PM/Eng, scope projects, manage dependencies and risks, ensure on‑time, and high quality releases
- Communicate and align with internal and external stakeholders: present results and findings, identify gaps and opportunities, explain the product and the AI behind
- Provide leadership for your team: mentor and manage a Data Science team, define modelling/evaluation standards, and lead cross‑functional delivery with PMs/engineers/customers to shape the roadmap and drive measurable business impact
- Month 1: Understand your domain and roadmap, assess team strengths/gaps, deliver quick wins and establish a prioritized backlog. Present findings to internal and external stakeholders
- Month 3: Take ownership. Understand a domain end-to-end, solve complex business problems, mentor and be a multiplier for your team collaborate cross-functionally and engaging directly with customers (lead customer workshops and meetings)
- Month 6: Become a go-to leader. Develop deep expertise in key areas of our product, influence the organization roadmap, be a leader on innovation, propose workflow improvements, and present solutions and our product to leadership and customers
- Your job is to make sure AI is solving the right problems, using the right approaches, and driving measurable impact
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 bolstering 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
Company
Funding (1 round)
Aug 2023
$22.4m
SERIES A
Total funding: $22.4m
Company benefits
- Global company and culture
- Hybrid working model
- Fast growth path
Company HQ
Old Town, Munich, Germany
Leadership
Bianca Diana Anghelina
(Co-Founder & CEO)Previously the Head of Global Digital Finance at Novartis, Head of Global Business Planning and Analysis at Sandoz and Senior Consultant at BMW.
Sara Bisbe López
(Co-Founder, CAI & TO)Former Head of AI for the company. Previously an Associate Director of Data Science at Novartis and a Senior Data Scientist at Accenture AI.
Christoph Schmitt
(COO)Former Head of Business and People Development at the company. Worked in Oncology at Novartis and was a Project Leader at The BCG.
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