Job Description
- At the forefront of the industry, you’ll create, own and make it a reality for clients looking to better serve their connected customers and operate always-on enterprises.
- Become an integral part of our Applied Intelligence team with the credibility, expertise and insight clients depend on.
- You will be working with famous brands and household names – no worrying about how to explain what you do to your family again!
- Solve challenging business problems using advanced machine learning methods such as Deep Learning and quantitative analytics.
- Understand business requirements and support the development of business cases.
- Clean, aggregate and interpret data in preparation for analysis.
- Run discovery analytics to identify new and innovative opportunities.
- Partner with developers and engineers to deploy machine learning algorithms to deliver business value.
- Define approaches to embed and scale machine learning models.
- Build reusable assets, solutions and develop best practices for current and future business problems.
- Consult on complex analyses and advanced machine learning methods.
- Communicate and provide guidance to senior client leadership and teams.
- Contribute data science expertise to new sales activities.
Qualifications
- Relevant work experience in data science, machine learning, and business analytics
- Practical experience in coding languages eg. Python, R, Scala, etc.; (Python preferred)
- Strong proficiency in database technologies eg. SQL, ETL, No-SQL, DW, and Big Data technologies e.g. pySpark, Hive, etc.
- Knowledge of machine learning modelling techniques and how to fine-tune those models eg. XGBoost, Deep Neural Networks, Transformers, Markov chains, etc.
- Experience using specialized machine learning libraries e.g. Fastai, Keras, Tensorflow, pytorch, sci-kit learn, huggingface, etc.
- Must demonstrate the capacity of reading, understanding and implementing new techniques in the field of machine learning as they emerge.
- Experience of using Cloud technologies eg. AWS, GCP or Azure.
- Specialised visualisation techniques eg. D3.js, ggplot etc.
- Strong verbal/written communication & data presentation skills
- Ability to successfully build relationships with clients and stakeholders
- Mastery of problem solving and solutioning
- Proven history and background in statistics/mathematics/macroeconomics
Equal Employment Opportunity Statement
All employment decisions shall be made without regard to age, race, creed, colour, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected applicable law.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
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