Junior Data Science Consultant: ML & AI for Business Impact

Management Solutions; New York (NY); On-site; USD 70,000 - 90,000; Full time

Benefits offered by this job

Ongoing training with professional skills courses

Clearly defined career plan

Partnership-based management model

Job summary

Management Solutions is seeking recent graduates or final year students for roles focusing on statistical modeling, predictive modeling using Machine Learning, and involvement in R&D projects, particularly in AI. The role offers significant exposure to high-profile consulting projects with major industry players.

Candidates should have a solid academic record and familiarity with statistical programming and big data tools. The company promotes continuous training and personal development, reflecting a strong commitment to employee growth.

Qualifications

• Recent graduates or final year students.
• Solid academic record.
• Strong ability to learn quickly.
• Knowledge of other languages is desirable.

Responsibilities

• Statistical data processing through Data Mining.
• Development and validation of predictive models using Machine Learning and Data Science techniques.
• Conduct R&D projects, especially involving Artificial Intelligence.

Skills

Statistical modeling (logit, GLM, time series, decision trees)

Statistical programming languages (SAS, R, Python, Matlab)

Big data tools and platforms (Hadoop, Hive)

Cloud platforms (AWS, Azure, GCP)

Strong computer skills

Education

Postgraduate studies in Data Science or Quantitative Finance

Job description

Management Solutions is seeking recent graduates or final year students for roles focusing on statistical modeling, predictive modeling using Machine Learning, and involvement in R&D projects, particularly in AI. The role offers significant exposure to high-profile consulting projects with major industry players.

Candidates should have a solid academic record and familiarity with statistical programming and big data tools. The company promotes continuous training and personal development, reflecting a strong commitment to employee growth.