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
LSEG is committed to encouraging a diverse, equitable, an inclusive work environment, ensuring equal opportunities for all employees, regardless of their background. We offer great employee benefits to make sure everyone performs to the best of their abilities. We offer a hybrid working model.
Career Stage:
Senior Associate
London Stock Exchange Group (LSEG) Information:
Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.
LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.
Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.
Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.
We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.
LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
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