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Job Description:
Key Responsibilities
Articulate the strategic and commercial value of Station10’s data science function, ensuring data science IP is developed and protected.
Drive business development activities, including client pitches, estimating briefs/scope and marketing activities.
Contribute to process to deliver accurate scoping of data science projects to ensure projects are delivered with the right resources, to scope, budget and deadlines.
Lead and manage a portfolio of data science projects with support from the wider teams
Lead and coordinate the cross-functional efforts to deliver data science related - projects ensuring a high standard of quality and governance of the models and data products.
Translate unstructured, complex business problems into the appropriate data problem, model and analytical solutions.
Develop, implement and maintain tools, machine learning models and algorithms in a - manner which meets regulatory and evidential requirements.
Make Station10 a destination employer for people with data science skills.
Hiring, supporting and coaching new team members. Ensuring they are thriving in - their role within the team and that Station10 has the data science capability it needs - to drive progress and deliver an outstanding experience for our clients.
Drive and encourage team-wide diffusion of knowledge and being a source of analytical and data science best practices
Review and develop working practices to ensure that data science work is delivered - to robust quality standards
Be an advocate for integrity and trust in all outputs from the team with an unwavering commitment to "do the right thing"
Experience and Qualifications
10+ years of relevant experience in similar data science/analytics related roles
Degree, preferably higher, educated in Computer Science, Mathematics, Physics, - Statistics, or other technical fields
Recognition as a subject matter expert in the data industry
Proven success in delivering descriptive and/or predictive analytics solutions to - drive business benefit
Extensive industry experience in predictive modelling and analysis
Extensive experience in building and deploying machine learning models in a cloud environment
Extensive experience manipulating and analysing large, high dimensionality, - unstructured datasets, drawing conclusions, defining recommended actions, and - reporting results to a high level stakeholders
Extensive experience of algorithm design, development, optimisation, scaling and application
Extensive experience of statistical analytics, data visualisation and storytelling
Expertise with one or more standard scientific computing tools (Python, R, Julia, MATLAB), database querying (SQL), version control (Git), cloud computing infrastructure (AWS)
In-depth understanding of several areas of machine learning (supervised and - unsupervised learning, time-series analysis, natural language processing, computer - vision) and working knowledge of common techniques (linear models, decision trees, - - neural networks, PCA, clustering) and their advantages and disadvantages
Experience of managing data scientists and leading ML projects into production
Ability to conduct independent research, demonstrated by a strong publication track - record in the field
Passion for technology and learning new skills and technologies
Company Benefits
Company Bonus scheme and pension matching
Excellent development programs with dedicated training budgets
25 days holiday - with additional holidays added based on length of service
Regular staff social activities and Summer Away Day
Flexible working hybrid (part home-based and office-based) – 1 day in the office and - 4 from wherever you like
Great office location - based in the heart of Farringdon
Access to the EAP (Employee Assistance Programme) 24/7 – offers confidential advice - for health, legal& bereavement support and loads more
Discounted gym access
Data for Social Good programmes
Cycle to work scheme
Private Medical Insurance
Life Cover
Pension scheme
Interview Process
Two stage interview:
First interview (45-60m) will be with two of our CEO&Founder, Delivery Director, or Commercial Director. The interview will be an opportunity to further explore the - role, get to know you and your goals, and how your experiences align with the requirements of the position.
Second interview (45-60m) will be with our CEO&Founder, Delivery Director or - Commercial Director, and our Head of Data Science. The interview will be structured around a task/presentation and an assessment proficiency in required skills.
