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Senior Data Scientist

at London Stock Exchange

Back to all Data Science / AI / ML jobs
London Stock Exchange logo
Other

Senior Data Scientist

at London Stock Exchange

Mid LevelNo visa sponsorshipData Science/AI/ML

Posted 6 days ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Bengaluru
Country
India

Senior Data Scientist at LSEG India will provide knowledge and support to Refinitiv Data, Product, Development, and Content teams regarding Company Data content and Product Generation, and will lead data extraction efforts with content and Central Tech Standards on business requirements. The role involves translating business needs into technical solution requirements, proposing improvements to products and processes, and building automated data pipelines and ML/DL models to source and load fundamentals data. Responsibilities include building data extraction solutions for PDFs, HTML, and XML, developing proofs-of-concepts and visualizations, deploying analytics solutions with development teams, and maintaining comprehensive process documentation. Preferred candidate has strong Python, SQL, NLP, ML/DL experience and 5+ years in data science, preferably in finance.

Proud to share LSEG in the India is Great Place to Work certified (Jun ’25 – Jun ’26).

Learn more about life and purpose of our company directly from India colleagues’ video: Bengaluru, India | Where We Work | LSEG

Senior Data Scientist role is to provide knowledge & support to Refinitiv Data, Product Teams, Development Team and Content Specialist regarding the Company Data content and the Product Generation. Senior Data Scientist will lead the Extraction of data work with content team and Central Tech Standards team on business requirements.

Core Responsibilities

  • Handle and process large datasets using Python.
  • Define requirements and lead projects to deliver new or enhanced capabilities.
  • Collaborate with business units to see opportunities for improving commercial performance and operational efficiency through data science and analytics.
  • Translate business needs into technical solution requirements.
  • Propose and implement improvements to products and processes.
  • Develop automated and machine learning solutions for sourcing and loading fundamentals data into databases.
  • Build data extraction solutions for various document formats including PDFs, HTML, and XML.
  • Partner with business, content, and product teams to address large-scale analytics problems using efficient resources.
  • Build proof-of-concepts (POCs), visualizations, and pipeline tools for product and development.
  • Work with development teams to deploy analytics solutions.
  • Maintain comprehensive process documentation.
  • Advocate for data science standard methodologies and guide business users and peers on analytical techniques, tools, and technologies.

Required Knowledge & Skills

  • Strong proficiency in Python programming.
  • Experience with version control systems like Git.
  • Solid grasp of relational databases and SQL.
  • Proficiency in web frameworks such as Flask or Django.
  • Ability to structure and clarify poorly defined problem statements.
  • Familiarity with machine learning algorithms (e.g., Decision Trees, Random Forest).
  • Good understanding of NLP techniques (e.g., Word2Vec, Bag of Words, Embeddings).
  • Experience in crafting, developing, and deploying ML/DL models.
  • Confirmed foundation in statistics and probability.
  • Skilled in libraries such as Scikit-learn, NumPy, and Pandas.
  • Experience with deep learning frameworks like PyTorch or TensorFlow.
  • Proficient in HTML, CSS, and web scraping.
  • Strong analytical thinking and problem-solving skills.
  • Understanding of REST API architecture and containerization tools (Docker/Kubernetes).
  • Ability to handle and analyse large datasets.
  • Capable of storytelling through data analysis and visualization for both technical and non-technical audiences.
  • Excellent written, verbal, and presentation skills for engaging with peers, senior management, and customers.

Preferred Qualifications

  • Bachelor's/ Professional degree in Engineering, Statistics, Mathematics, Physics or a related quantitative field.
  • Certification in Data Science.
  • confirmed ability of 5+ years in data science projects, preferably in the finance domain.

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. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity.

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

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.

Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject.

If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

Location: IND-Bangalore-TowerE,RMZ Infin

Time Type: Full time

Senior Data Scientist

at London Stock Exchange

Back to all Data Science / AI / ML jobs
London Stock Exchange logo
Other

Senior Data Scientist

at London Stock Exchange

Mid LevelNo visa sponsorshipData Science/AI/ML

Posted 6 days ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Bengaluru
Country
India

Senior Data Scientist at LSEG India will provide knowledge and support to Refinitiv Data, Product, Development, and Content teams regarding Company Data content and Product Generation, and will lead data extraction efforts with content and Central Tech Standards on business requirements. The role involves translating business needs into technical solution requirements, proposing improvements to products and processes, and building automated data pipelines and ML/DL models to source and load fundamentals data. Responsibilities include building data extraction solutions for PDFs, HTML, and XML, developing proofs-of-concepts and visualizations, deploying analytics solutions with development teams, and maintaining comprehensive process documentation. Preferred candidate has strong Python, SQL, NLP, ML/DL experience and 5+ years in data science, preferably in finance.

Proud to share LSEG in the India is Great Place to Work certified (Jun ’25 – Jun ’26).

Learn more about life and purpose of our company directly from India colleagues’ video: Bengaluru, India | Where We Work | LSEG

Senior Data Scientist role is to provide knowledge & support to Refinitiv Data, Product Teams, Development Team and Content Specialist regarding the Company Data content and the Product Generation. Senior Data Scientist will lead the Extraction of data work with content team and Central Tech Standards team on business requirements.

Core Responsibilities

  • Handle and process large datasets using Python.
  • Define requirements and lead projects to deliver new or enhanced capabilities.
  • Collaborate with business units to see opportunities for improving commercial performance and operational efficiency through data science and analytics.
  • Translate business needs into technical solution requirements.
  • Propose and implement improvements to products and processes.
  • Develop automated and machine learning solutions for sourcing and loading fundamentals data into databases.
  • Build data extraction solutions for various document formats including PDFs, HTML, and XML.
  • Partner with business, content, and product teams to address large-scale analytics problems using efficient resources.
  • Build proof-of-concepts (POCs), visualizations, and pipeline tools for product and development.
  • Work with development teams to deploy analytics solutions.
  • Maintain comprehensive process documentation.
  • Advocate for data science standard methodologies and guide business users and peers on analytical techniques, tools, and technologies.

Required Knowledge & Skills

  • Strong proficiency in Python programming.
  • Experience with version control systems like Git.
  • Solid grasp of relational databases and SQL.
  • Proficiency in web frameworks such as Flask or Django.
  • Ability to structure and clarify poorly defined problem statements.
  • Familiarity with machine learning algorithms (e.g., Decision Trees, Random Forest).
  • Good understanding of NLP techniques (e.g., Word2Vec, Bag of Words, Embeddings).
  • Experience in crafting, developing, and deploying ML/DL models.
  • Confirmed foundation in statistics and probability.
  • Skilled in libraries such as Scikit-learn, NumPy, and Pandas.
  • Experience with deep learning frameworks like PyTorch or TensorFlow.
  • Proficient in HTML, CSS, and web scraping.
  • Strong analytical thinking and problem-solving skills.
  • Understanding of REST API architecture and containerization tools (Docker/Kubernetes).
  • Ability to handle and analyse large datasets.
  • Capable of storytelling through data analysis and visualization for both technical and non-technical audiences.
  • Excellent written, verbal, and presentation skills for engaging with peers, senior management, and customers.

Preferred Qualifications

  • Bachelor's/ Professional degree in Engineering, Statistics, Mathematics, Physics or a related quantitative field.
  • Certification in Data Science.
  • confirmed ability of 5+ years in data science projects, preferably in the finance domain.

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. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity.

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

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.

Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject.

If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

Location: IND-Bangalore-TowerE,RMZ Infin

Time Type: Full time

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