Lead Data Scientist, Swan

Salary not provided
SQL
AWS
Python
Tensorflow
Scikit-Learn
Snowflake
PyTorch
dbt
Senior and Expert level
Paris

More information about location

Swan

Embedded finance platform

Open for applications

Swan

Embedded finance platform

201-500 employees

FintechB2BBankingPaymentsSaaSAPI

Open for applications

Salary not provided
SQL
AWS
Python
Tensorflow
Scikit-Learn
Snowflake
PyTorch
dbt
Senior and Expert level
Paris

More information about location

201-500 employees

FintechB2BBankingPaymentsSaaSAPI

Company mission

To empower all kinds of digital companies to transform their UX and start embedding banking features within minutes.

Role

Who you are

  • 5/10+ years of experience in Data Scientist, with a preference for prior involvement in the fintech industry and/or B2B SaaS environments
  • Ideally PHD in Applied Mathematics, Statistics, Computer science Machine learning. At least master degree in those fields
  • Experience with machine learning libraries and frameworks (e.g., scikit-learn, TensorFlow, PyTorch)
  • Expertise in data mining techniques and statistical analysis tools like Python, SQL
  • Demonstrated ability to effectively manage projects and engage with stakeholders
  • A commitment to team spirit, transparency, and trustworthiness is important, as we value a collaborative and supportive company culture
  • Autonomy, a "Can-do" spirit, and the ability to take initiative and ownership of your work are required
  • Passion, curiosity, and the capacity to learn quickly are important, as we are constantly exploring new technologies and approaches to improve our work
  • Strong problem-solving skills and business acumen
  • Our ideal teammate: Empathetic. Skilled. Frank. We love to challenge each other, and we leave our egos at the door

What the job involves

  • We are currently seeking a detail-oriented and adaptable Data Scientist to join our dynamic team and establish the A.I. practice at Swan from the ground up
  • In this role, you will play a pivotal part in interpreting and analyzing complex data to drive strategic decision-making and advance our innovative projects
  • As part of our team, you will work on impactful projects such as developing in-house ML models and utilizing these technologies to gain deeper insights into market dynamics, optimize operations, and enhance customer experiences
  • The ideal candidate will possess expertise in data manipulation, machine learning, and statistical analysis
  • Deliver impactful projects leveraging ML to optimize the business - such as Operation automation, Fraud detection and Compliance control optimization
  • Develop comprehensive data models and algorithms to predict, optimize, and solve various business problems
  • Manipulate and analyze complex, high-volume data from varying sources using a range of tools and data analysis techniques
  • Design and implement robust analytical models aimed at improving business outcomes
  • Collaborate with cross-functional teams to build scalable and repeatable data-driven solutions that enhance product development, marketing strategies, and customer experiences
  • Maintain an understanding of industry trends and use this knowledge to suggest, innovate, and implement new technologies
  • Handle the processing and analysis of new data sources and experimental data, ensuring data quality and accuracy
  • Reporting to Romain, our VP of Data, you will join our new Data team, which includes a Data Engineer, a Data Analyst, a Data Analytics Engineer and a Product Data Analyst
  • This is an exciting opportunity to become part of a dynamic and growing team, making a significant impact on the future success of Swan

Application process

  • A 30-min video call with our Talent Acquisition Manager, to get to know you, understand your career expectations and answer your questions
  • An interview with your future manager
  • Case study
  • An interview with the team
  • Last interview with ou Chief Product officer

Otta's take

Theo Margolius headshot

Theo Margolius

COO of Otta

Swan believes its services can transform a business by adding a financial layer. Swan’s APIs enable European companies to integrate banking services into their own digital product: embedded finance.

While not alone in the fintech industry, the company stands out by squarely targeting SaaS platforms, marketplaces, and other fintechs with its embedded finance products. The company, offering an end-to-end, integrated and multi-product experience coupled with the fact it owns the payment and fraud risk, has garnered the attention of impressive clients including Agricap, Carrefour, Pennylane and Ride.

The company has invested into accelerating its expansion into the European market by developing more banking features that are specialized for a variety of local EU markets and enhancing the platform’s functionality with a self-service offering. Swan is gaining momentum with its expansion efforts and is well set to remain on this path.

Insights

Top investors

Many candidates hear
back within 2 weeks

78% employee growth in 12 months

Company

Funding (last 2 of 3 rounds)

Sep 2023

$40.2m

SERIES B

Jul 2021

$17.4m

SERIES A

Total funding: $63m

Company benefits

  • ESOP packages available
  • Flexible remote policy
  • Swan encourages you to have fun staying fit, thanks to partnerships with Classpass & Gymlib
  • Twice a year we go somewhere gorgeous (a chateau, a mountain) where we reconnect, deep-dive into big topics, and relax
  • The best health insurance
  • We provide a Swile card to cover your meal on work days
  • Extra holidays (RTT)

Company values

  • Be human: Be straightforward, transparent, and sincerely care. It’s all about integrity and doing the right thing
  • Ambition: We’re in this for the long game. We want to transform the entire market, and be the engine for Europe’s next tech champions!
  • Collaboration: We believe in the power of collective intelligence. We love to challenge others’ ideas and be challenged in return. May the best ideas win
  • “Move fast, don’t break things”: If we must choose between security and going fast, we choose security. We are in banking, after all
  • Make everything simple: Simplicity

Company HQ

Porte-Saint-Martin, Paris, France

Founders

Previously co-founded Antelop Solutions and, earlier, PriceMinister. Acted as Product Manager for French Market of VISA Europe, President of Limonetik, IT Project Manager for AXA Cessions, and was a Team Member for Endless Winter.

Previous experience as Vice President of Product for Payboost, Digital IT Manager for AXA France, Payment Project Director for Limonetik, and as a Developer and Risk Manager for AXA.

Previously co-founded and acted as CTO for JS-Republic. Experience as Senior Software Engineer for Xebia France, Software Engineer for BT Global Services, and Web Developer for éQuin gestion.

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Diversity & Inclusion at Swan

  • Swan is committed to providing a caring work environment for all employees, regardless of age, sex, disability, sexual orientation, race, religion, or belief. When it comes to recruitment, we're interested in your work experience, skills, and overall personality. Because diversity makes the workplace stronger and is necessary for Swan's success, we are intensifying efforts to incorporate concrete actions to help us improve in this area. We are actively seeking partners who can help us to always strive to be a more supportive and welcoming company for all. Swan is proud to have launched a partnership with 50intech to boost our diversity and inclusion efforts

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