Junior Data Scientist

Jobright.ai; Chicago (IL); On-site; USD 63,300 - 117,200; Full time

Benefits offered by this job

Medical insurance

Vision insurance

401(k)

Job summary

A global management consulting firm is seeking a Junior Data Scientist to provide technical expertise in analytics and model deployment. This entry-level role demands at least 2 years of data science experience, proficiency in Python and SQL, and a collaborative spirit to support end-to-end projects. Candidates can expect to contribute to innovative client engagements with a focus on machine learning and data integrations.

Qualifications

• 2+ years of experience in applied data science required.
• Fluent in Python with data science libraries.
• Experience deploying machine learning models in cloud environments.

Responsibilities

• Support end-to-end data science projects and deploy models.
• Solve complex analytical challenges for clients.
• Collaborate with various stakeholders on app development.

Skills

Machine learning

Python

SQL

Data analysis

Statistical modeling

Education

Degree in Statistics, Computer Science or related

Tools

TensorFlow

PyTorch

Spark

Excel

Job description

Join to apply for the Junior Data Scientist role at Jobright.ai

Join to apply for the Junior Data Scientist role at Jobright.ai

Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust.

Job Summary:

L.E.K. Consulting is a global management consulting firm that uses deep industry expertise and rigorous analysis to help business leaders achieve practical results with real impact. They are seeking a Data Scientist to provide technical expertise in executing complex analytics, building innovative tools, and driving technical roadmaps to support client engagements.

Responsibilities:

• Support end-to-end data science projects from conceptualization through to deployment, and deploy advanced machine learning models in clients' cloud environments, optimizing for scalability, performance, and reliability to address specific business challenges and objectives

• Support clients in strategically leveraging technical models, guiding them through the interpretation of results and the integration of actionable insights into their business workflows.

• Solve a wide variety of complex analytical challenges for clients, sometimes dynamically balancing multiple client engagements at one time

• Analytical needs can include: data aggregation / creation, data cleaning / manipulation, commercial data science (e.g., geospatial, machine learning, predictive modelling, NLP, GenAI etc.), and visualizations

• Help drive the technical roadmap needed to support client engagements

• Drive the development of state-of-the-art analytical apps, leveraging up-to-date in machine learning algorithms to solve complex problems

• Collaborate with a variety of stakeholders to continuously innovate on the apps, service lines and proprietary data assets we can offer

• Provide technical expertise and thought leadership on developing analytical tools, services lines, and proprietary data assets, and contribute to building these areas directly when applicable

• Uphold best-in-class standards in app development, data integrity, and ensuring solutions are both scalable and maintainable

• When relevant, support Managing Directors in developing and delivering client proposals where advanced data and analytics are critical to the scope of work

• Provide input into training / upskilling the D&A team provides to Managing Directors to ensure they are aware of all of our most current capabilities

• Stay up to date on best-in-class software, tools, and techniques to ensure that we are able to provide clients with best-in-class solutions

• Support commercialization and upskilling of staff on relevant software, tools and techniques

• Help drive the technical roadmap to ensure we are operating a best-in-class Data & Analytics function

Qualifications:

Required:

• A minimum of 2 years of experience in applied data science with a solid foundation in machine learning, statistical modeling, and analysis is required for a Data Scientist

• Strong knowledge, experience, and fluency in a wide variety of tools including Python with data science and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch), Spark, SQL

• Technical understanding of machine learning algorithms; experience with deriving insights by performing data science techniques including classification models, clustering analysis, time-series modeling, NLP; technical knowledge of optimization is a plus

• Expertise in developing and deploying machine learning models in cloud environments (AWS, Azure, GCP) with a deep understanding of cloud services, architecture, and scalable solutions. (e.g., Sagemaker, Azure ML, Kubernetes, Airflow)

• Demonstrated experience with MLOps practices, including continuous integration and delivery (CI/CD) for ML, model versioning, monitoring, and performance tracking to ensure models are efficiently updated and maintained in production environments

• Hands-on experience with manipulating and extracting information on a variety of large both structured and unstructured datasets; comfort with best data acquisition and warehousing practices

• Proficient Excel, PowerPoint presentation and excellent communication skills, both written and oral; ability to explain complex algorithms to business stakeholders

• Ability to achieve results through others; experience and proven success record working in matrix, agile and fast-growing environments; and assertive, intellectually curious and continuously driving towards excellence.

Preferred:

• Degree in a quantitative and/or business discipline preferred, examples include: Statistics, Computer Science, Data Science, Mathematics, Operations Research, Engineering, Economics

• Familiarity with Alteryx and Tableau

• Experience at a consulting firm / agency is a plus

Company:

L.E.K. Founded in 1983, the company is headquartered in Boston, MA, US, with a team of 1001-5000 employees. The company is currently Late Stage.

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Industries

  Software Development

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Medical insurance

Vision insurance

401(k)

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