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Data Scientist

LSEG lseg.com Open
IND-Bangalore-A Full-time Mid-level Data Science

At a glance

Mid-level Data Science role at LSEG. IND-Bangalore-A · full-time.

Pay not stated Data Scientist salary

RoleData Science
SeniorityMid-level
LocationIND-Bangalore-A
EmploymentFull-time
PostedNov 26, 2025
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build and refine pricing structures that support commercial goals, then test existing offers against competitors
  • Use client behavior analysis to assess how pricing initiatives affect customers and market quality
  • Compare rival pricing changes and help bring pricing across Capital Markets into closer alignment
  • Partner with business teams to deliver useful analysis and identify commercial opportunities

What you bring

  • You have intermediate Python ability, including NumPy, Pandas, Prophet and scikit-learn
  • You can work at an intermediate level with SQL and a visualization tool such as Tableau
  • You have a bachelor's in Data Science or equivalent experience
  • You bring communication, collaboration and analytical skills

Who this fits

This role suits a data scientist interested in pricing analysis and commercial performance. You’ll work with senior business and product development leaders, reporting to the Senior Manager for Markets Pricing. The position is based in Bangalore, India.

From the employer

The Markets Pricing team plays a critical role in supporting the Digital & Securities Markets business by crafting and driving commercial strategies across the product lifecycle—including ideation, development, launch, and ongoing management. The team also owns the development of analytics to inform and improve these strategies.

This role will work closely with senior business leaders and product development teams to design and implement a balanced and competitive commercial policy. It offers a direct opportunity to influence the commercial performance of the division.

Reporting to the Senior Manager, Markets Pricing, the Data Scientist will be instrumental in building and maintaining a robust analytical framework passionate about commercial performance and pricing strategy.

KEY RESPONSIBILITIES

  • Creating and evolving pricing structures in support of business and commercial objectives

  • Analysing and assuring the competitiveness of existing pricing structures

  • Providing information and analysis on clients’ behaviour

  • Monitoring the impact of LSEG pricing initiatives on clients and market quality

  • Analysing competitors’ pricing initiatives

  • Driving increased alignment in pricing structures across Capital Markets

  • Effectively collaborate with business to provide high quality analysis to our stakeholders.

  • Proactively identify, analyse and present commercial opportunities

SKILLS AND EXPERIENCE:

Required Skills:

  • Communication, Collaboration and Analytical skills

  • Intermediate proficiency in data visualisation tool (Eg: Tableau)

  • Intermediate proficiency in Python (NumPy, Pandas, Prophet, scikit-learn)

  • Intermediate proficiency in SQL

Desired Skills:

  • At least 2-3 years of professional experience is desirable

  • Understanding of financial markets a plus

  • Knowledge of developing forecasting models a plus

  • Prior experience in Data Science and Advanced Analytics a plus

Education:

Bachelor’s Degree in Data Science or equivalent experience

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.

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.

Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Science

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.