Description
Job Description - Data Scientist (GCP)
Location - London or Birmingham (onsite 2 days a week)
Duration 2 Months
Inside IR35
Do you want to work with a leading award winning organisation at the for-front of technology? Why Wait?
What You'll be doing - AccountabilitiesSkills required for the job
- Work together with business stakeholders to define the purpose and structure of predictive Data Science models
- Develop and operate Machine Learning tools and predictive models, using XGBoost, Tensorflow and more, both on-premises and on AWS/Google Cloud Platform
- Identify the appropriate data sources, create new data features and engineer the raw data to model input pipeline
- Maintain and evaluate models, implement Control Groups and A/B testing regimes to estimate the value of the models for the business and communicate the results to the relevant stakeholders
- Identify new opportunities to add value to the business through the application of Data Science, Machine Learning and AI techniques
- Nurture strong stakeholder relationships to help build up a good understanding of their business areas
- Ability to build well-rounded predictive models using common ML frameworks such as XGBoost, scikit-learn and TensorFlow
- Ability to deploy Machine Learning models on Cloud Platforms such as AWS and GCP
- Ability to explain ML solutions in simple terms for non-technical stakeholders
- Able to communicate and present complex data problems effectively to influence key business decisions
- Able to wrangle and cleanse data
- Able to work well in a team, to create strong and trusting stakeholder relationships, and to collaborate across the business
- Interested in continuously developing skills in the areas of Data Science, Machine Learning, AI and Cloud.
- Good to have: a deep understanding of fundamentals of probability and statistics.
Connected leaders behaviours
Experience you would be expected to have
- Solution-focused achiever - I cut through complexity and obstacles to get to the right ethical solution at the right time. I always deliver my ambitious goals, outcomes and timelines.
- Inspiring communicator - I deliver compelling messages to my audience that persuade, inspire and engage.
- Collaborative partner - I break down silos, and work brilliantly with partners both within and outside of the organisation to deliver business results. I understand the agendas and needs of others, alongside the needs of the business.
- Mandatory: Experience in developing Data Science tools using coding in Python (including functions, pandas and sklearn pipelines) and SQL
- Mandatory: Experience with using open-source Machine Learning frameworks such as XGboost, scikit-learn and TensorFlow
- Mandatory: Experience in presenting complex problems to a non-technical audience using plain language
- Preffered: Knowledge of the fundamental Statistics and how Machine Learning models such as random forests and neural networks work
- Preferred: Previous planning experience
- Preferred: Previous commercial role
Key decisions
As applicable in documentedRAPIDs:
- Recommends future outlook for the quarter on a quarterly basis
- Recommends the right interventions to close forecast gaps
- Recommends the right level of uplift to add into forecast for new interventions