Lead Data Scientist[975963]

Binnies
flexible base, uk
1 year ago
Create job alert

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

Related Jobs

View all jobs

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.

AI Jobs in the Public Sector: MOD, NHS & Gov Digital Service Opportunities

Artificial intelligence (AI) has rapidly evolved from a niche field of computer science into a transformative force reshaping industries across the globe. From healthcare to finance and from education to defence, AI-driven tools and techniques are revolutionising how we approach problems, improve efficiency, and make data-driven decisions. Nowhere is this transformation more apparent than in the United Kingdom’s public sector. Key government entities, including the Ministry of Defence (MOD), the National Health Service (NHS), and the Government Digital Service (GDS), are increasingly incorporating AI into their operations. Consequently, AI jobs within these bodies are growing both in number and strategic importance. In this comprehensive blog post, we will explore the landscape of AI jobs across the UK public sector, with a close look at the MOD, the NHS, and the Government Digital Service. We will delve into the reasons these organisations are investing heavily in AI, the types of roles available, the essential skills and qualifications required, as well as the salary ranges one might expect. Whether you are a new graduate keen to make a meaningful impact through your technical skills or a seasoned professional looking for your next career move, the public sector offers a wealth of opportunities in AI. By the end of this article, you will have a clearer understanding of why AI is so crucial to the public sector’s success, which roles are in demand, and how you can tailor your application to stand out in a competitive and rewarding job market.

Contract vs Permanent AI Jobs: Which Pays Better in 2025?

n the ever-evolving world of technology, the competition for top talent in artificial intelligence (AI) is intense—and the rewards are significant. By 2025, AI roles in machine learning, natural language processing, data science, and robotics are expected to be among the highest-paid professions within the UK technology sector. As an AI professional, deciding between contracting (either as a day‑rate contractor or via fixed-term contracts) and permanent employment could drastically impact your take‑home pay, job security, and career trajectory. In this article, we will delve into the various types of AI roles in 2025—particularly focusing on day‑rate contracting, fixed-term contract (FTC) roles, and permanent positions. We will compare the earning potential across these three employment types, discuss the key pros and cons, and provide practical examples of how your annual take‑home pay might differ under each scenario. Whether you are already working in AI or looking to break into this booming field, understanding these employment options will help you make an informed decision on your next move.