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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.

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.

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.

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.

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.

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.

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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