Senior Consultant, Data Science Forensic & Litigation Consulting

About the Role Our data scientists employ advanced mathematics, statistics, and computer science (ML and algorithmic), together with industry knowledge, to tackle business problems for clients ranging from governments to Silicon Valley tech giants. We also serve as an R&D function for the company, developing internal tools and proof-of-concepts to put us ahead of the market. We work on complex, high profile investigations, and develop advanced models, leveraging a high-performance cloud-based tech stack, with engagements including: Automated document classification using NLP. Geospatial modelling of electric vehicle demand. Communication analytics and social media modelling. Identifying sanctions breaches with unsupervised learning. Graph analysis of financial data. Anomaly detection in API call data. We need people who have a pragmatic approach to problem-solving and are capable of developing solutions that clients can rely on in production. You should be capable of challenging your own work, and of finding balance between perfection and practicality. Crucially, you should be someone that enjoys sharing knowledge and learning from others-and are expected to rise to opportunities to mentor others, or run internal learning sessions. Our project teams are generally small; you should be able to get along with people from a variety of backgrounds, to contribute to discussions about methodology, to recognise the strengths of different colleagues, and to pull your weight when it comes to client deliverables. What You'll Do A t the data preparation stage of the project, the Data Scientist: Performs data availability/quality assessment. Owns ETL processes: writes SQL queries or scripts to query APIs; researches and acquires data from public sources; liaises with clients to ingest unstructured data; chooses appropriate storage schemas, in conjunction with engineers / database architects. Identifies issues with the data-missing values, (near) duplicates, ambiguous name-entity resolution, non-standardised addresses, dates, etc.-and performs data cleaning. Prepares replicable processing scripts/notebooks in project repository, and documents steps taken. At production stage of the project, the Data Scientist: Engineers variables into usable features Develops robust models and statistical analyses, employing appropriate measures of fit to validate their own and colleagues work. Builds and owns complete pipelines, potentially working alongside engineers/developers, and testing that these work at scale. Finds and fixes bugs in pipeline components (ideally before they go into production) Optimises code for time/space efficiency, as needed. Takes responsibility for running new iterations of data (retraining model, or new inputs for prediction) through the existing pipeline as required, performs validation of these results and prepares client deliverables. Communicates findings to client, and incorporates their feedback / domain knowledge to tune model. At platform development stage, the Data Scientist: Exposes model functionality to development team-e.g. as a package, or an API. Supports engineers / developers / UI team in building end-to-end solution, advocates for needs of client and data science team. How You'll Grow Alongside opportunities to learn on the job from some of the leading professionals in the industry, FTI Consulting offers extensive internal and external training opportunities. Qualifications & Experience Educated to degree level within a technical discipline. Experience in a Data Science role at both proof-of-concept and production stages. Familiarity with an SQL-like language. Reasonable knowledge of fundamental computer science concepts (time/space complexity, hashing, simple algos for sorting/searching/etc.) Knowledge of general ML concepts (training/test, cross-validation, supervised/unsupervised learning, regression and classification, clustering, over/under-fitting, accuracy/precision/recall, ensemble methods, dimension reduction and feature extraction) For at least a few specific models-e.g. trees, forests, FFNNs, gradient boosting, SVMs, k-means… though not necessarily all of these-to know how they actually work, algorithms involved, etc. Demonstrated advanced expertise in at least one area-e.g. computer vision, NLP, geospatial modelling, operations research, financial investigations (this could be running projects, papers written, a research posting-we want to see what you can bring to the team to enhance existing propositions or enable new ones) Able to work with linux/nix systems, bash scripting, SSH with minimal instruction. Familiarity with an SQL-like language. Proficient in Python (or another suitable language-but must be able to adapt) Confident at data wrangling/cleaning in a dataframe package (e.g. R's data.frame, or Python's pandas) Experience developing modularised code, using version control with git-other DevOps knowledge, such as containerisation using Docker, highly desirable. Ideally, familiarity with an ML framework like Torch or TensorFlow. Ideally, familiarity with a distributed framework like Spark. LI-SG1 Our Benefits Apart from the well-structured career path and excellent team environment, our employees enjoy a variety of perks and benefits. We offer a competitive benefits and wellbeing programme including private medical insurance, dental insurance, life insurance, income protection, flex critical illness cover, 5% employer pension contribution, holiday buy, discounted gym membership, interest free travel loans, paid volunteer hours and corporate matching for charitable donations, and much more. About FTI Consulting What makes us unique? With more than 5,000 employees located in offices in every corner of the globe, we are the firm our clients call when their most important issues are at stake. Regardless of what level you are, you will have the opportunity to work alongside and learn from top experts in your field on high-profile engagements that impact history. Our culture is collaborative, and we value diversity, recognition, development and making a difference in our communities. FTI Consulting is publicly traded on the New York Stock Exchange and has been recognized as a Best Firm to Work For by Consulting magazine and one of America's Best Management Consulting Firms by Forbes . For more information, visit and conn