LSEG is hiring for a fresher entry level Junior Data Scientist role in India

Position:

• Junior Data Scientist

Company:

• LSEG (London Stock Exchange Group)

Location:

• Bangalore, India
• Tower E, RMZ Infin

Job Type:

• Full-Time

Job Mode:

• On-site

Job Requisition ID:

• R0092302

Years of Experience:

• Not explicitly stated, but prior relevant experience is preferred.

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Company Description

• LSEG (London Stock Exchange Group) is a premier global provider of financial markets infrastructure and data solutions.
• The organization is committed to fostering financial stability, empowering economies, and enabling customers to achieve sustainable growth.
• Rooted in a culture built on values of Integrity, Partnership, Excellence, and Change, LSEG serves as a cornerstone for re-engineering the global financial ecosystem to support inclusive and sustainable economic progress.
• Employing over 25,000 individuals across 65+ countries, LSEG values diversity and encourages employees to bring their authentic selves to work.
• By blending creativity and collaboration, the company fosters a supportive environment where ideas flourish.
• LSEG takes pride in contributing to global initiatives like accelerating the transition to a net-zero economy, expanding the green economy, and driving equitable economic opportunities.
• Employees enjoy tailored benefits, including healthcare, retirement planning, paid volunteering days, and wellbeing programs, ensuring a holistic support system.

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Profile Overview

• As a Junior Data Scientist, the individual will play a critical role in designing and implementing innovative methodologies and quantitative models that enhance current processes.
• The role requires maintaining the performance of existing products while adhering to high standards of independent analysis.
• Responsibilities will span across multiple departments, encouraging collaboration and fostering innovation to expand the scope of LSEG’s product offerings.
• This dynamic position involves handling, processing, and programming large datasets to provide actionable insights.
• The Junior Data Scientist will also engage in developing automated solutions, leveraging machine learning, and running quantitative models to address complex analytics challenges.
• The role requires working alongside diverse teams, including business, content, and product groups, to design prototypes, visualize concepts, and deploy analytics solutions.
• Communication is integral, with an emphasis on translating technical findings into compelling narratives for both technical and non-technical audiences.

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Qualifications

• Educational Background:

  • A degree in Statistics, Mathematics, or Engineering (specializing in Computer Science) is essential.
  • Certification in Data Science is required.

• Technical Skills:

  • Proficiency in programming languages like Python, and expertise in libraries such as scikit-learn, NumPy, and pandas.
  • Familiarity with tools like Jupyter Notebook and statistical programming languages like R.
  • Solid understanding of relational databases and database management systems.
  • Expertise in handling large datasets and developing scalable data pipelines.

• Analytics and Machine Learning Expertise:

  • Ability to develop, enhance, and execute quantitative models.
  • Practical experience in applying machine learning techniques to solve real-world problems.

• Communication Skills:

  • Strong written and verbal communication skills to present findings effectively to stakeholders at all levels.
  • Capability to narrate data-driven stories for audiences with varying technical expertise.

• Process Optimization and Project Management:

  • Certified or working toward certification in Lean/Six Sigma Green or Black Belt.
  • Hands-on experience in process optimization, Lean deployments, and project management.

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Job Responsibilities

• Data Handling and Automation:

  • Process, analyze, and manage large datasets effectively.
  • Design and implement automated solutions to streamline the integration of legal entity data into the company database.

• Pattern Analysis and Model Development:

  • Analyze content related to legal entities to identify patterns and trends.
  • Build, refine, and deploy robust quantitative models to enhance decision-making processes.

• Machine Learning Applications:

  • Use machine learning techniques to generate innovative solutions for optimizing core processes.
  • Collaborate with development teams to ensure successful deployment of machine learning models.

• Cross-Functional Collaboration:

  • Work closely with internal teams such as business, content, and product groups to tackle large-scale analytics challenges.
  • Provide actionable insights and solutions through data visualization and proof-of-concept (POC) designs.

• Analytics Solutions Deployment:

  • Develop visualization tools and pipeline systems for product design and development.
  • Collaborate with development groups to ensure seamless integration of analytics solutions into existing workflows.

• Internal Interaction:

  • Engage with other internal teams, including senior management, under supervision.
  • Present analyses and insights to stakeholders, ensuring clarity and impact.

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Knowledge and Skills

• Programming and Tools:

  • Advanced proficiency in Python, SQL, and Power Apps.
  • Extensive experience with machine learning libraries and tools such as scikit-learn, NumPy, and pandas.

• Database Management:

  • In-depth knowledge of relational databases, including design and optimization.

• Statistics and Data Analysis:

  • Strong foundation in statistical concepts and their application in real-world scenarios.
  • Proficiency in using R for statistical modeling and analysis.

• Visualization and Storytelling:

  • Expertise in creating compelling data visualizations to effectively communicate insights.
  • Ability to narrate stories derived from data for both technical and non-technical audiences.

• Soft Skills:

  • Exceptional communication and presentation skills to engage with peers, senior management, and stakeholders.
  • Strong interpersonal skills to foster collaboration within cross-functional teams.

• Process Improvement:

  • Demonstrable experience in project management and process optimization, with a focus on Lean principles.

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Additional Info

• Equal Opportunity Commitment:

  • LSEG is committed to creating an inclusive workplace that values diversity and equality.
  • The company does not discriminate based on race, religion, gender, age, disability, or any other protected characteristic.

• Sustainability and Growth:

  • LSEG actively contributes to global sustainability goals by driving the transition to a net-zero economy.
  • The company supports the growth of the green economy and creates opportunities for inclusive economic development.

• Work Environment and Culture:

  • Employees are encouraged to bring their true selves to work, contributing to a vibrant and diverse workforce.
  • A culture of collaboration, creativity, and innovation is promoted, ensuring employees thrive professionally and personally.

• Employee Benefits:

  • Comprehensive healthcare packages.
  • Retirement planning and financial wellbeing programs.
  • Paid volunteering days to support personal and community initiatives.
  • Various wellness initiatives aimed at promoting a healthy work-life balance.

• Data Privacy and Compliance:

  • The company ensures strict adherence to data privacy laws, providing detailed privacy notices for employees and applicants.
  • Recruitment agency partners must ensure candidates are aware of these privacy guidelines.

Please click here to apply.

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