DATA SCIENCE CONSULTANT BIRMINGHAM

Responsibilities

• Statistical data processing (Data Mining)
• Artificial Intelligence (AI), including generative AI
• 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

Requirements

• 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 OfferThe best environment to develop talent

We offer you the possibility to join a firm that provides all you need to develop your talent to the fullest:

• 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

Approximately 10% of business turnover spent in training:

• 600 hours of training during the first two years.
• Specialist knowledge courses, external expert courses, professional skills courses and language courses.
• Last year our staff as a whole received over 375,000 hours of training spanning more than 150 courses.

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.

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