Equity Continental Sales Data Analyst Intern H/F Euronext

With close to 2,000 listed issuers and around €6.6 trillion in market capitalisation as of end March 2022, it has an unmatched blue chip franchise and a strong diverse domestic and international client base.

Euronext operates regulated and transparent equity and derivatives markets, one of Europe's leading electronic fixed income trading markets and is the largest centre for debt and funds listings in the world. Its total product offering includes Equities, FX, Exchange Traded Funds, Warrants & Certificates, Bonds, Derivatives, Commodities and Indices. The Group provides a multi-asset clearing house through Euronext Clearing, and custody and settlement services through Euronext Securities central securities depositories in Denmark, Italy, Norway and Portugal.

Euronext also leverages its expertise in running markets by providing technology and managed services to third parties. In addition to its main regulated market, it also operates a number of junior markets, simplifying access to listing for SMEs.

The Equity Continental Sales Data Scientist Intern plays a key role in transforming data into strategic insights that drive sales growth and performance optimization. By leveraging advanced data analytics including artificial intelligence (AI), and machine learning (ML), the intern supports the sales team with data-driven recommendations and predictive models that anticipate market behavior and client needs.

Working collaboratively across teams, such as Equity Product team and Quant Team and locations at Euronext, the ideal candidate will possess strong analytical, technical, and communication skills, with proficiency in Python, SQL, Dataiku, Excel, Power BI, CRM platforms, and other business intelligence tools.

Key Responsibilities

Data Extraction, Analysis, and Modeling:

Collect, process, and analyze large and complex trading and client datasets using Python, Dataiku, and SQL.

Apply machine learning techniques to detect client behavioral patterns, segment clients, and predict sales trends, particularly in the retail segment.

Data Visualization and Reporting:

Design intuitive Power BI dashboards and automated reports to monitor key performance indicators (KPIs), visualize insights, and communicate findings effectively to stakeholders.

CRM Optimization through AI:

Integrate AI-driven analytics into CRM systems to improve customer segmentation, lead scoring, and sales pipeline management.

Market Intelligence:

Conduct market and sentiment analysis to identify emerging opportunities, competitive shifts, and macro trends impacting equity sales strategies.

Predictive and Prescriptive Analytics:

Develop and deploy models to forecast sales performance, identify high-potential clients, and recommend data-driven actions that enhance commercial effectiveness.

Collaboration and Process Improvement:

Work closely with the sales and strategy teams to streamline workflows, enhance performance tracking, and translate analytical insights into actionable business outcomes.

Qualifications and Skills

Education:

Currently pursuing a Bac +4/5 (Master's level) degree in Data Science, Applied Mathematics, Engineering, Statistics, or a related field.

Technical Skills:

- Proficiency in Python, SQL, and Dataiku for data preparation, analytics, and model building.

- Strong command of Excel and Power BI for reporting and visualization.

- Experience or coursework in machine learning algorithms (e.g., regression, clustering, classification) is a plus.

- Experience working with CRM systems and leveraging AI features for sales analytics.

Analytical Skills:

Ability to interpret complex data, build predictive models, and derive actionable insights that support strategic decision-making.

Communication Skills:

Strong verbal and written communication skills, with the ability to explain analytical results clearly to non-technical audiences.

Familiarity with financial markets or equity sales is a plus.

Problem-Solving and Innovation:

Demonstrated ability to apply AI-driven approaches to solve business challenges and optimize processes.

Time Management:

Proven ability to manage multiple projects and deliver high-quality results within tight deadlines.

Certifications (Preferred):

Certifications in Data Science, Machine Learning, or AI are advantageous.

Collaboration:

Team-oriented mindset with experience working in cross-functional and multicultural environments.

Euronext Values

Unity

- We respect and value the people we work with

- We are unified through a common purpose

- We embrace diversity and strive for inclusion

Integrity

- We value transparency, communicate honestly and share information openly

- We act with integrity in everything we do

- We don't hide our mistakes, and we learn from them

Agility

- We act with a sense of urgency and decisiveness

- We are adaptable, responsive and embrace change

- We take smart risks

Energy

- We are positively driven to make a difference and challenge the status quo

- We focus on and encourage personal leadership

- We motivate each other with our ambition

Accountability

- We deliver maximum value to our customers and stakeholders

- We take ownership and are accountable for the outcome

- We reward and celebrate performance

We are proud to be an equal opportunity employer. We do not discriminate against individuals on the basis of race, gender, age, citizenship, religion, sexual orientation, gender identity or expression, disability, or any other legally protected factor. We value the unique talents of all our people, who come from diverse backgrounds with different personal experiences and points of view and we are committed to providing an environment of mutual respect.

Additional Information

This job description is only describing the main activities within a certain role and is not exhaustive. It does not prevent to add more tasks, projects.