DATA SCIENCE CONSULTANT NEW YORK

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

Responsibilities

• Statistical data processing (Data Mining)
• Predictive modeling using Machine Learning and Data Science techniques
• Time-series modeling (ARIMA and panel data models) and simulation models (Monte Carlo)
• Development, validation and audit of financial, risk, marketing and business-oriented models
• R&D projects
• Artificial Intelligence (AI), including generative AI

Qualifications

• Recent graduates or final year students.
• Postgraduate studies and/or specialised courses are an asset, especially in Data Science, Quantitative Finance or similar.
• Should desirably have knowledge of modeling techniques (logit, GLM, time series, decision trees, random forests, clustering, XGBoost), statistical programming languages (SAS, R, Python, Matlab), big data tools and platforms (Hadoop, Hive, etc.) and cloud platforms(AWS, Azure, GCP).
• Solid academic record.
• Strong computer skills.
• Knowledge of other languages is desirable.
• Get-up-and-go attitude, maturity, responsibility and strong work ethic.
• Strong ability to learn quickly.
• Able to integrate easily into multidisciplinary teams.

We Offer

• Working in the highest-profile consulting projects in the industry,
• for the largest companies, leaders of their respective markets,
• alongside top industry management as they face challenges at the national and global level,
• as part of an extraordinary team of professionals whose values and corporate culture are a benchmark for the industry

Ongoing training plan, with approximately 10% of business turnover spent in training

• Specialist knowledge courses, external expert courses, professional skills courses and language courses.
• Last year our staff as a whole received over 400.000 hours of training spanning more than 160 courses.

Career and Development

• Clearly defined career plan
• Internal promotion based solely on merit.
• Partnership-based management model offers all professionals the opportunity to become part of the Firm’s group of partners.

Complementary Experiences

• University: we maintain a close relationship with the world’s most prestigious universities.
• Social Action: we organize more than 30 community support activities.
• Sports Club: internal and external tournaments.

For more information about Management Solutions and the professional careers we offer, we invite you to visit our website at: www.managementsolutions.com

At Management Solutions we believe in equal opportunities. In our selection process, all qualified applicants are equally considered for employment regardless of race, color, religion, national origin, sex, gender identity, sexual orientation, age, marital status, disability, and any other characteristic protected by law.