Junior Data Scientist

Job summary

As a junior data scientist, you will assist in delivering data-driven insights and solutions under the guidance of senior data scientists. This role is focused on applying basic machine learning and data analysis techniques to assist in developing solutions that address customer needs. You will collaborate with multi-functional teams, learning from experienced professionals and helping implement data science-driven products, particularly focusing on data preparation, model implementation, and data analysis tasks.

Role & responsibilities

• Assist in the development and deployment of machine learning models under the guidance of senior data scientists.
• Apply basic machine learning techniques, including data preprocessing, feature engineering, and model evaluation, to solve business problems.
• Collaborate with the team to gather and analyze data, ensuring data quality and consistency.
• Support the creation of dashboards, reports, and data visualizations to communicate findings.
• Work with senior team members to understand client requirements and contribute to the design and implementation of data science solutions.
• Perform exploratory data analysis (EDA) to understand data patterns and trends.
• Assist in the maintenance and updating of models and algorithms in production.
• Develop scripts for automating data processing tasks and workflows.

Qualifications and experience required

• 3-5 years experience in data science, machine learning, or a related field, ideally in a financial industry or familiar with finance.
• Bachelor's degree in computer science, engineering, data science, or a related field.
• Basic understanding of machine learning algorithms and their applications.
• Proficiency in Python with knowledge of libraries such as Pandas, NumPy, and scikit-learn for data analysis and model building.
• Familiarity with SQL for querying relational databases and performing data manipulation.
• Understanding of data preprocessing techniques, including handling missing data, scaling, and encoding.
• Basic knowledge of cloud platforms (AWS, GCP, or Azure) and machine learning frameworks such as TensorFlow or PyTorch.
• Ability to learn quickly and apply new concepts in data science.
• Strong analytical and problem-solving skills, with the ability to communicate findings effectively.
• A passion for learning and staying updated with the latest developments in data science and machine learning.
• Experience with data visualization tools like Tableau, Power BI, or Matplotlib.
• Familiarity with NoSQL databases like MongoDB or Cassandra.
• Knowledge of basic NLP techniques for text data analysis.
• Interest in gaining exposure to deep learning frameworks like TensorFlow and PyTorch.
• Interest in gaining exposure to LLMs and agentic frameworks.

About the company

The organization is committed to encouraging a diverse, equitable, and inclusive work environment, ensuring equal opportunities for all employees, regardless of their background. They offer great employee benefits to make sure everyone performs to the best of their abilities and provide a hybrid working model.

Join a team that values innovation, quality, and continuous improvement. If you are ready to take your career to the next level and make a significant impact, this is an excellent opportunity.

The company is a leading global financial markets infrastructure and data provider. Its purpose is driving financial stability, empowering economies, and enabling customers to create sustainable growth. This purpose is the foundation on which the culture is built. The values of integrity, partnership, excellence, and change underpin the purpose and set the standard for everything done every day. These values guide decision making and everyday actions.

Working here means being part of a dynamic organization of 25,000 people across 65 countries. Individuality is valued, enabling employees to bring their true selves to work and help enrich a diverse workforce.

The company is proud to be an equal opportunities employer. This means no discrimination on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy, disability, or any other basis protected under applicable law. In conformance with applicable law, reasonable accommodations are made for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.

Employees are part of a collaborative and creative culture where new ideas are encouraged. The company is committed to sustainability across its global business and partners with customers to help meet sustainability objectives. Its charity foundation provides grants to community groups that help people access economic opportunities and build secure futures with financial independence. Colleagues can get involved through fundraising and volunteering.

The company offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days, and wellbeing initiatives.