Junior Data Scientist

Talan – Positive Innovation

Talan is an international consulting group specializing in innovation and business transformation through technology. With over 7,200 consultants in 21 countries and a turnover of €850M, we are committed to delivering impactful, future-ready solutions.

Talan at a Glance

Headquartered in Paris and operating globally, Talan combines technology, innovation, and empowerment to deliver measurable results for our clients. Over the past 22 years, we’ve built a strong presence in the IT and consulting landscape, and we’re on track to reach €1 billion in revenue this year.

Our Core Areas of Expertise

• Data \& Technologies:

We design and implement large-scale, end-to-end architecture and data solutions, including data integration, data science, visualization, Big Data, AI, and Generative AI.

• Cloud \& Application Services:

We integrate leading platforms such as SAP, Salesforce, Oracle, Microsoft, AWS, and IBM Maximo, helping clients transition to the cloud and improve operational efficiency.

• Management \& Innovation Consulting:

We lead business and digital transformation initiatives through project and change management best practices (PM, PMO, Agile, Scrum, Product Ownership), and support domains such as Supply Chain, Cybersecurity, and ESG/Low-Carbon strategies.

We work with major global clients across diverse sectors, including Transport \& Logistics, Financial Services, Energy \& Utilities, Retail, and Media \& Telecommunications.

Job Description

We are looking for a

Junior Data Scientist

to join the

CDAIO

team within a banking client in their

Corporate \& Investment Banking area in

Madrid

. You will contribute to the development, validation, and industrialization of

Machine Learning and AI models

applied to high-impact business problems.

This is a great opportunity to work in an

exciting, fast-evolving AI environment

, where modern modeling techniques are actively helping to

transform how an investment bank operates

—from smarter decision-making and automation to improved risk insights and client-facing capabilities.

You’ll collaborate with data scientists, engineers, and business stakeholders to deliver

robust, explainable, and scalable

solutions—covering the full lifecycle from problem framing to deployment and monitoring.

What you’ll do

• Develop/apply state-of-the-art

statistical, machine learning, and AI models

(supervised/unsupervised, forecasting, NLP, anomaly detection, etc.) for use cases.

• Perform

data exploration, feature engineering, and model evaluation

using rigorous quantitative approaches.

• Apply best practices in

model validation

: cross-validation, bias/variance diagnostics, calibration, robustness testing, and sensitivity analysis.

• Implement and maintain

reproducible ML pipelines

(training, inference, monitoring) with strong software engineering standards.

• Contribute to

explainability and governance

(e.g., SHAP, feature attribution, stability, documentation), aligned with a regulated environment.

• Present findings clearly to both technical and non-technical audiences; translate business goals into measurable modeling objectives.
• Stay current with modern AI:

deep learning

,

LLMs

,

representation learning

, and emerging tooling; prototype where relevant.

Qualifications

Must-have Requirements:

• Bachelor’s or master’s degree (or final-year student) in

Computer Science, Mathematics, Statistics, Physics, Engineering

, or related quantitative field.

• Strong foundations in

linear algebra, probability, statistics, optimization

, and numerical methods.

• Solid programming skills in

Python

(clean code, testing mindset, packaging basics).

• Hands-on experience with ML libraries such as

scikit-learn

, and familiarity with at least one deep learning framework (

PyTorch

or

TensorFlow

).

• Practical knowledge of

model evaluation

and metrics (AUC, precision/recall, RMSE, calibration, etc.) and experimentation methodology.

• Experience working with data using

pandas/numpy

, and querying with

SQL

.

• Good communication skills and ability to work in collaborative, cross-functional teams.
• Professional working proficiency in

English and Spanish

Nice to have

• Previous experience in similar roles.
• Exposure to

NLP

(transformers, embeddings),

LLMs

, or

generative AI

concepts (prompting, fine-tuning basics, retrieval).

• Understanding of

MLOps

concepts and tools (e.g., MLflow, Docker, CI/CD, model monitoring).

• Experience with

cloud platforms

(AWS/Azure/GCP) and distributed processing (e.g., Spark).

• Familiarity with

Databricks

(or willingness to learn it on the job) for collaborative development and scalable ML workflows.

• Familiarity with

time series modeling

, stress testing, or causal inference.

• Interest or exposure to

Corporate \& Investment Banking / Global Banking

products and processes (e.g., lending, trade \& working capital, DCM/ECM, transaction banking) and how data/AI can support them (client analytics, pricing, limits, early warning).

• Knowledge of model risk / governance in regulated industries (documentation, traceability, controls) is a plus.
• Familiarity with

Finance analytics

concepts such as

P\&L drivers

,

balance sheet metrics

,

FTP

,

capital/RWA

, or management reporting—able to translate financial KPIs into modeling objectives.

• Understanding of

Risk

fundamentals (credit risk, market risk, liquidity risk, operational risk) and common modeling topics such as

PD/LGD/EAD

,

rating/scorecards

,

stress testing

,

early warning signals

, or

portfolio monitoring

in a regulated environment.

Additional Information

What do we offer you?

• Hybrid

position based in

Madrid, Spain

• Permanent, full-time contract.
• Smart Office Pack so that you can work comfortably from home.
• Training and career development.
• Benefits and perks such as

private medical insurance

, life insurance, Language lessons, etc

• Possibility to be part of a multicultural team and work on international projects.

If you are passionate about data, development \& tech, we want to meet you !