Data Scientist

DeepRec.ai; Berlin; Híbrido; EUR 110.000 - 138.000; Jornada completa

Descripción de la vacante

DeepRec.ai is seeking a Data Scientist for a 6-month contract in Berlin, hybrid work with 2 days in the office. The role focuses on data science, predictive modeling, and simulation to solve complex commercial and financial problems.

You will take data-driven projects from initial analysis through modelling, deployment, and stakeholder communication. The ideal candidate will have strong commercial Data Science experience, expert Python and SQL skills, and a track record of building predictive

Formación

• Hands-on data science experience with end-to-end project delivery.
• Strong Python and SQL skills with ability to translate business questions into analytical solutions.
• Experience building and evaluating predictive models and running simulations.

Responsabilidades

• Analyse structured and unstructured data to identify insights and opportunities.
• Design, train, deploy and monitor predictive models.
• Develop data-driven business cases and commercial models.
• Build and run simulation scenarios to assess revenue and business impact.
• Communicate findings clearly to both technical and non-technical stakeholders.

Conocimientos

Python

SQL

Predictive modeling

Data analysis

Problem solving

Herramientas

Simulation

Descripción del empleo

Data Scientist – 6 Month ContractLocation: Berlin, Germany
Working pattern: Hybrid – 2 days per week in the office
Start date: November 2026
Contract: 6 months
Rate: €80–€100 per hour
Initial engagement: 4–5 months with potential to extend
We’re working with a growing European FinTech business looking for an experienced Data Scientist to join their team on a 6-month contract.
This is a hands-on role focused on using data science, predictive modelling and simulation to solve complex commercial and financial problems.
The RoleYou’ll be responsible for taking data-driven projects from initial analysis through to modelling, deployment and communicating the results to stakeholders.

Key responsibilities include:

• Analyse structured and unstructured data to identify insights and opportunities
• Translate business challenges into analytical hypotheses and data science solutions
• Design, train, deploy and monitor predictive models
• Develop data-driven business cases and commercial models
• Build and run simulation scenarios to assess revenue and business impact
• Work with stakeholders to understand business requirements and turn them into practical analytical solutions
• Carry out ad-hoc analysis to answer complex business questions
• Communicate findings clearly to both technical and non-technical stakeholders
• Contribute to the end-to-end data science lifecycle, from data exploration through to deployment

What We're Looking For

• Strong commercial Data Science experience
• Excellent Python and SQL skills
• Strong experience developing predictive models
• Experience working with both structured and unstructured data
• Strong analytical and problem-solving ability
• Experience with simulation, scenario modelling or revenue/pricing models
• Ability to translate business requirements into analytical solutions
• Strong communication skills with the ability to explain complex concepts clearly
• Experience working within financial services, FinTech, trading or financial markets
• Understanding of financial products such as options, futures, equities or FX is highly beneficial