Contract Data Scientist
Methods, United Kingdom
Job Description
Methods Analytics is currently recruiting for a Senior Data Scientist to join our team on a contractor basis. This role is expected to be based in Sheffield or Bristol.
Length of contract : 3 months with possible extension
Start: ASAP
Please note due to COVID 19 restrictions this role will be remote working until restrictions have been lifted.
Methods Analytics
Methods Analytics exists to improve society by helping people make better decisions with data. Combining passionate people, sector-specific insight and technical excellence to provide our customers an end-to-end data service. We use a collaborative, creative and user centric approach data to do good and solve difficult problems. And ensure that our outputs are transparent, robust and transformative.
We value discussion and debate as part of our approach. We will question assumptions, ambition and process but do so with respect and humility. We relish difficult problems, and overcome them with innovation, creativity and technical freedom to help us design optimum solutions. Ethics, privacy and quality are at the heart of our work and we will not sacrifice these for outcomes. We treat data with respect and use it only for the right purpose. Our people are positive, dedicated and relentless. Data is a vast topic, but we strive for interactions that are engaging, informative and fun in equal measure. But maintain a steely focus on outcomes and delivering quality products for our customers.
The Data Scientist will be expected to work as part of the Methods Analytics Delivery team. They will be the technical lead of projects for external stakeholders or internal company assignments.
The ideal candidate will have several years of relevant experience and be developing best practice when creating models using structured and unstructured data sets. In addition to broad data skills and deep understanding of the scientific models used, they should also have a track record of impacting the business with successful data science projects.
In close coordination with stakeholders, they are responsible for leading a potentially cross-functional team in providing the best solution to a given problem. The Data Scientist role will provide line management and support to the rest of the data science team, as well as providing strategic direction for the company on both product and functional line management and support to the rest of the data science team, as well as providing strategic direction for the company on both product and function.
The Data Scientist will:
- Enable and support an environment that promotes and applies data science with a focus on impact and value both internally and for clients
- Set standards that produce high quality, efficient code for both data preparation and analysis. Collaborating with data scientists to refine the approach
- Lead and contribute to development of pipelines, models and tools to solve unanswered, untested and complex data challenges.
- Command trust in their ability to deliver the best analytical approaches across all levels of the organisation and clients
- Deliver impactful business results through the development and delivery of data science principles
- Assist a team of data scientists, including personal and business development
- Assist with the development of the company knowledge base and provide feedback on new knowledge artefacts
- Confidently present complex analytical results in a clear and simple manner to key stakeholders and clients (including technical and non-technical audience)
Requirements
Ideal Candidates will demonstrate:
- Degree in Computer Science, Data Science, Mathematics or similar field, preferably with a PhD, and experience within a fast-paced and complex business setting, working as a Data Scientist.
- Proven application of advanced analytical and statistical methods in the real world including time series analysis and forecasting, and supervised and unsupervised learning
- Demonstrable senior-level leadership in engaging with stakeholders, technical clients and people management
- Highly proficient in writing code in Python, including extensive applied experience of using common data science libraries in Python including NumPy, Pandas, Scikit-Learn, SciPy, Matplotlib and Plotly.
- Experience with SQL, NoSQL and/or graph databases
- Ability to visualise data in a meaningful way to draw insight informing business problems
Desirable Skills amp; Experience:
- Experience of working with neural networks, deep learning