Lead Data Scientist[975963]

The Role

We have an exciting role within our Digital Products and Services (DPS) service line where we are seeking an enthusiastic and innovative professional to support the continued growth and development of our digital business.

This key role will require a diverse range of skills and competencies including:

Software development lifecycle Product strategy and planning Business development and client engagement Market and competitor analysis Budgeting and resource management Innovation and continuous improvement

You will require a broad working knowledge of geospatial and time series analytics, and a passion for innovating using the latest data technologies. Ideally you will have a background in working with utility companies or asset intensive industries. You will lead a group of data engineers, analysts and scientists in creating and supporting Binnies’ digital products and services, working closely with our Lead Solution Architect, to manage how solutions are built and deployed. You will have an aptitude for communicating complex ideas and methodologies to clients, senior management and engineering professionals, and take a lead in growing your team of data professionals.

You will use your skills to help our clients manage their assets more effectively across the complete asset lifecycle by utilising data science to aid decision making. Our products operate in both tactical and strategic contexts to improve real time operational activities and lifecycle investment planning. Our role is to support our clients in making digital solutions a practical reality. The success of our clients depends on our ability to exploit the latest digital technologies, creating solutions that are secure, resilient, and usable.

Key Duties and Responsibilities

Overseeing the application of statistical and data science best practice, and quality assurance. Working as part of a digital team, undertaking the primary contact role between the data and platform development / software engineering teams. Leading a team of data engineers, analysts and geospatial / timeseries data specialists, including coaching, mentoring and building career paths Working as the technical lead data engineer on data pipeline, data analytics and data visualisation. Contributing to bids, proposals and technical delivery plans with responsibility for delivering solutions to time/budget. Raising the profile of Binnies’ Digital by actively taking part in industry events and participating in competitions / award submissions. Maintain awareness of new and merging technologies and identify opportunities for application in our work.

Key Relationships

The Lead Data Scientist will support the Director of Digital Products and Services, and Binnies Digital Products Manager by providing technical guidance on the viability of new innovations as potential products/services, and by taking a proactive role in managing risk during the development and deployment of products / services. You will work very closely with our Lead Solution Architect, planning and prioritising development activities.

Critical to the role is the requirement to nurture and support the development of our talented data professionals, by helping to develop their career plans and through day-to-day support. You will directly manage Senior Data Scientists and Senior Geospatial Data Scientists.

Binnies Digital supports the delivery of digital solutions across the RSK Group and it is therefore important that the Lead Data Scientist has not only technical credibility but also the interpersonal skills to develop close, productive working relationships with data professionals, scientists, and engineers in our sister companies.

Required Competences

Good working knowledge of ETL tools and processes, geospatial and time series analytics, and data visualisation. Excellent knowledge of data science techniques and tools. A collaborative approach with the ability to build and leverage internal/inter-departmental relationships. Effective and compelling communicator both written and oral. A professional Engineering qualification or Mathematics, Science background. A high level of challenge and questioning ability. Demonstrable experience in leading a team of data professionals who are applying data science to create new digital solutions.

Essential Requirements

Degree or equivalent in engineering, mathematics/statistics, or science Technical lead with data pipeline, data analytics, machine-learning, and data visualisation experience. Proven ability to work as part of a digital team, primary contact between data and platform development/software engineering teams. Agile working. Track record of delivering digital innovation. Experience in Azure services / Python / R and SQL, and utilisation of common machine learning frameworks (e.g. scikit-learn, keras, tidymodels etc.). Experience in Azure services / Python / R and SQL, and utilisation of common machine learning frameworks (e.g. scikit-learn, keras, tidymodels etc.). Broad data science skills (ETL, data engineering, data analysis/statistical analysis, machine-learning, and data visualisation). Excellent interpersonal skills and relationship building. Resilient to the challenges of digital service development. Proactive positive attitude with the ability to work with a wide range of personalities and disciplines. Ability to challenge the status quo; look at things differently and promote new ways of thinking. Genuine desire to nurture new talent.

Desirable Requirements

Member of an institution relevant to our area of work (e.g. BCS) Experience of creating data / digital solutions for the water utility sector Experience of Esri platform, FME and PowerBI Experience of working within the utilities industry Membership of the Institute of Asset Management Knowledge of the water utility sector and regulatory framework Bid writing. Producing marketing collateral. Presenting to both technical and non-technical audiences.

Benefits

9 day working fortnight Flexible working to fit around your life Performance related bonus Excellent working culture 1 paid volunteering day per year Learning and Development Support 2 paid professional memberships