Data Scientist

Russell Tobin; Berlin; Vor Ort; EUR 85.000 - 120.000; Vollzeit

Zusammenfassung

Russell Tobin is seeking a Data Scientist for a long-term contract across Germany, including Berlin, Cologne, and other major cities. This is a hands-on, client-facing role focused on practical data science solutions rather than people management.

You will work in a client-facing environment, applying Python and SQL to real-world datasets, delivering production-ready models, and communicating findings clearly to stakeholders.

Qualifikationen

• 4-10 years of professional experience in Data Science / Machine Learning.
• Strong, hands-on Python experience.
• Strong SQL skills.
• Practical hands-on experience with Machine Learning, including building, training, testing and evaluating models.
• Experience working with real-world datasets and developing production-oriented data science solutions.
• Strong analytical and problem-solving skills.
• Comfortable working as an individual contributor in client-facing environments.
• Fluent German is mandatory.

Aufgaben

• Develop practical machine learning and data science solutions using Python.
• Perform data processing, analysis and transformation using Python.
• Build, train, test and evaluate machine learning models.
• Write and optimise SQL queries for data extraction and analysis.
• Perform feature engineering, model evaluation and statistical analysis.
• Work with stakeholders and technical teams to translate business problems into data-driven solutions.
• Deploy and support data science solutions within real-world client environments.
• Explain technical findings and model outputs clearly to both technical and non-technical stakeholders.

Kenntnisse

Python

SQL

Machine Learning

Data Science

Real-world data

Analytical

Client-facing

German language

Problem-solving

Jobbeschreibung

Data Scientist - Long-Term Contract

Location: Germany - Berlin, Cologne, Frankfurt, Düsseldorf, Munich, Hamburg or Stuttgart

Contract: Long-term contract, duration TBC

Language: Fluent German - mandatory

Working model: Client-site focused, approximately 80% of the time

Engagement: EOR / employee contract

About the Opportunity

We are currently looking for an experienced Data Scientist to join a long-term AI and technology programme supporting leading organisations across industries including Pharma & Life Sciences, Energy and Financial Services. This is a highly hands‑on role for someone who enjoys building and delivering practical data science solutions rather than managing teams. You will be placed into a talent pool and matched to suitable client assignments based on your skills and experience.

Key Responsibilities

• Develop practical machine learning and data science solutions using Python.
• Perform data processing, analysis and transformation using Python.
• Build, train, test and evaluate machine learning models.
• Write and optimise SQL queries for data extraction and analysis.
• Perform feature engineering, model evaluation and statistical analysis.
• Work with stakeholders and technical teams to translate business problems into data-driven solutions.
• Deploy and support data science solutions within real-world client environments.
• Explain technical findings and model outputs clearly to both technical and non-technical stakeholders.

Essential Skills & Experience

• 4-10 years of professional experience in Data Science / Machine Learning.
• Strong, hands‑on Python experience.
• Strong SQL skills.
• Practical hands‑on experience with Machine Learning, including building, training, testing and evaluating models.
• Experience working with real‑world datasets and developing production-oriented data science solutions.
• Strong analytical and problem‑solving skills.
• Comfortable working as an individual contributor in client‑facing environments.
• Fluent German is mandatory.

Important Information

• This is not a managerial role; candidates must have strong hands‑on technical experience.
• Candidates will be working on client assignments approximately 80% of the time.
• If an assignment requires travel to another city, travel and accommodation expenses will be covered separately, in addition to the agreed package.
• Candidates are paid daily whether they are actively assigned to a client project or on the bench.
• There will be a technical assessment via HackerRank as part of the selection process.
• Candidates will be hired through the EOR arrangement.

For workers in the United States, PrideGlobal and it's affiliates offers eligible employee’s comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), 401(k)-retirement savings, life & disability insurance, an employee assistance program, legal support, pet insurance and employee discounts with preferred vendors.

Equal Employment Opportunity PrideGlobal and it's affiliates are an equal opportunity employer. We do not discriminate on the basis of the race, religious creed, color, national origin, ancestry, physical disability, mental disability, reproductive health decision making, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other characteristic protected by applicable federal, state, or local law.

Fair Chance Employment PrideGlobal and it's affiliates are a Fair Chance employer. We consider all qualified applicants, including those with criminal histories, in a manner consistent with applicable state and local Fair Chance laws and ordinances, including, the California Fair Chance Act and all applicable local Fair Chance ordinances.

Accommodations We are committed to providing reasonable accommodations to applicants and employees with disabilities. If you require a reasonable accommodation to participate in the application or interview process, or to perform the essential functions of this role, please contact us.

Only applicable for San Francisco Candidates: Under the San Francisco Lactation in the Workplace Ordinance, we will provide written notice of lactation accommodation rights, and this notice will automatically be given upon hiring, any inquiry of parental leave or lactation accommodation.

Only applicable for Kentucky positions: For this type of employment, state law requires a criminal record check as a condition of employment. This applies to direct care staff (Examples: RN, LPN, Nurse Aides, Therapists) referred to Kentucky nursing facilities, assisted living communities, or long-term care facilities, in accordance with KRS 216.793.