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Lead Data Scientist

We’re seeking a passionate Data Scientist to lead the end-to-end implementation and design of data science applications for various clients. You will join a growing practice and play a leading role in the ongoing development of the data science discipline, driving innovation, best practice adoption and motivating and empowering domain practitioners to create a positive and creative culture for our people to perform well, learn and grow.

You’ll join a talented team of dynamic and driven professional problem solvers; creative thinkers and solutions builders who thrive on helping clients meet the most exciting digital transformation challenges.

Make a difference and advance your career by helping deliver some of the UK’s most important #tech4good projects, making the world a smarter, safer, greener, and healthier place.

At a certified Great Place to Work® you’ll experience a dynamic and nurturing environment that rewards initiative and flexibility and enjoy a career path tailored to your own aspirations.

About Us

Founded in 1992, we are a successful, growing International digital transformation consultancy. We deliver multi-Queen’s Award for innovation winning platforms and services that support large-scale digital transformation. Our digital, data and technology solutions are used by globally recognised public and private sector brands operating in a variety of sectors including Civil Defence, Healthcare, Sustainable Environment and Land Asset Management, and Digital Democracy.

Key Accountabilities and Responsibilities

Lead Data Scientists lead the planning, design, development, integration and testing of complex, high quality data science solutions and services to meet user needs, continually improving the application of best practice patterns, methods and tools. This includes:

  • Build effective working relationships with clients/3rd party counterparts, leading interaction in your domain.
  • Own the end-to-end implementation and design for larger data science services, assuring the development and maintenance of high-quality documentation and ensuring that designs are translated into implementation.
  • Take overall technical responsibility for data science in larger engagements, across all stages (design, build, test, deploy, operate and continually improve).
  • Collaborate with practitioners from other disciplines (e.g. UCD, Engineering) to ensure the solution
    meets user and business needs.
  • Help structure and provide technical assurance for the work of teams of less experienced practitioners, supporting Senior practitioners to help maximise overall quality and velocity.
  • Support the growth of Informed’s data science capability by helping to recruit technical staff (interviews, assessments), and contributing to training materials to achieve curriculum outcomes.

Requirements

  • Experience working with cloud-based solutions and technologies (Google Cloud Platform, AWS,
    Azure).
  • Hands-on knowledge of designing and implementing Data Science solutions capable of handling sensitive data (e.g., Personally Identifiable Information).
  • Strong knowledge of a programming language for data science (Python, R, etc.) Including best practices using this language to write robust software.
  • An Awareness of data governance and best practices to ensure data protection.
  • Experience planning data science activities, including how teams and work should be structured. Being able to provide robust estimates of activities.
  • Experience having a leading role in developing data science applications. Having operationalised and deployed various data science applications into a live environment.
  • Experience structuring the work of data science teams based of requirements at the time, working to deadlines and practitioner’s strengths and providing support to less experienced colleagues.
  • Background in Agile delivery environments, delivering software solutions in controlled increments (e.g.,
    following Scrum, Agile Delivery phases, GDS Service Manual, etc.).
  • A bachelor’s degree in a STEM field.

Desirable skills and experience

  • Experience working in a professional services/consultancy environment preferred.
  • Experience solving natural language processing problems.
  • Experience creating generative AI applications, such as chatbots or RAG retrieval systems.
  • Understanding of general computer science concepts (test-driven development, object-orientated programming, complexity and optimisation).
  • Ability to work effectively across multiple teams and projects.
  • Ability to explain and simplify complex information to stakeholders, gathering and translating business requirements, anticipating any obstacles to information flow.
  • A master’s degree or PhD in a STEM field.

Personal Qualities

  • You are hands on, working within a team to solve complex software and feature problems.
  • Inquisitive, using critical thinking to ask lots of questions, overcome biases, break assumptions and consider different perspectives.
  • Strong analytical and problem-solving skills.
  • Excellent communication and interpersonal skills.
  • Detail-oriented with a focus on accuracy.
  • Able to plan and organise your own work, effectively negotiating priorities crossing multiple teams across the business.
  • Able to collaborate with other areas of the business to solve problems.
  • Able to quickly learn and adapt to new technologies.

Our benefits package compliments our highly competitive salaries and our great working environment. We believe that our people should be properly rewarded for their commitment to the continued success of our business through a comprehensive and flexible range of benefits.

These can include:

  • InformedACADEMY© – We offer excellent career development opportunities through our award-winning personal and professional development programmes, including support with professional certifications.
  • Industry leading health and wellbeing plan – We partner with several wellbeing support functions to cater to each individual’s need, including 24/7 GP services, mental health support and physical health support.
  • Hybrid working*
  • Private Health Care Cover*
  • Generous life assurance cover*
  • Gym Membership*
  • Monthly office lunch
  • Onsite massage sessions
  • 25 paid working days holiday per year plus bank holidays*
  • Sabbatical Leave Scheme*
  • Enhanced Maternity Leave and Pay*
  • Enhanced Paternity Leave and Pay*
  • Company Pension Contribution
  • Profit Share Scheme
  • Payment of professional subscriptions
  • Generous referral scheme with no limits on the number of referrals
  • Salary Sacrifice scheme*

*Qualifying period applies

Culture

We are proud to nurture a workplace culture that is diverse, inclusive, rewarding, and egalitarian.

We strive to live up to our values of Innovation, Excellence, and Integrity by thinking about things differently, always doing our best, and acting in good faith at all times.

We’re a team of passionate problem solvers. We take pride in helping our clients accelerate and de-risk digital business change so that we can collaborate and codesign world class digital services that solve complex business and safety critical problems, particularly where place, location or geography are important.

Our workplace culture reflects how we go about our work, the type of work that we choose to do, and our commitment and contribution to the sustainable social, environmental, and economic development aims of the communities that we are part of. 

We focus both on technical skills and equally importantly, on the cultural fit of prospective new colleagues. Our success relies on fostering an environment where creativity and collaboration produces great outcomes for our people, our clients, and our partners.

 

Average salary estimate

$100000 / YEARLY (est.)
min
max
$80000K
$120000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Lead Data Scientist, Informed Solutions

Are you ready to take the lead as a Data Scientist? Join our innovative team at Informed, where you'll spearhead the design and implementation of groundbreaking data science applications for various clients. As a Lead Data Scientist, you'll not only shape the future of data science within the company, but also inspire and empower your team to adopt best practices and foster a creative, productive culture. Your expertise will drive our exciting digital transformation projects, aimed at making the world a smarter and greener place. Since 1992, Informed has been at the forefront of digital transformation, creating solutions that are utilized by globally recognized brands across sectors like Civil Defence and Healthcare. You'll be responsible for overseeing the end-to-end development of data science applications, ensuring your designs are backed by high-quality documentation and seamless integration. Collaborating closely with fellow practitioners from diverse disciplines, you’ll ensure that user and business needs are met. If you bring experience in cloud technology, programming languages like Python or R, and a passion for mentoring others, we want you on board! We are invested in your growth, offering tailored career paths and a supportive environment. Our commitment to employee well-being is reflected in our comprehensive benefits package, including hybrid working options and health plans. Step into a rewarding role that allows you to make a real impact while advancing your career with us at Informed.

Frequently Asked Questions (FAQs) for Lead Data Scientist Role at Informed Solutions
What are the responsibilities of a Lead Data Scientist at Informed?

As a Lead Data Scientist at Informed, you will lead the design and development of data science applications, assuring they meet user needs and best practices. You will collaborate closely with clients and third-party counterparts, ensuring projects are effectively executed. Additionally, you will mentor junior practitioners and structure the work of your team, championing innovative practices while managing the end-to-end implementation of data science services.

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What qualifications are required for the Lead Data Scientist position at Informed?

To qualify for the Lead Data Scientist role at Informed, candidates should possess a bachelor’s degree in a STEM field and hands-on experience in designing and implementing data science solutions. Familiarity with cloud platforms like Google Cloud, AWS, or Azure, as well as coding proficiency in languages like Python or R, is essential. Experience in Agile environments and a solid understanding of data governance and protection practices are highly desirable.

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What skills are desirable for a Lead Data Scientist at Informed?

In addition to foundational programming and data science skills, desirable traits for a Lead Data Scientist at Informed include experience with natural language processing, generative AI applications, and a strong understanding of computer science concepts. You should also be adept at working cross-functionally with diverse teams and possess excellent communication skills to convey complex information simply and effectively.

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How does Informed support the professional growth of a Lead Data Scientist?

At Informed, we prioritize the professional development of our employees, including Lead Data Scientists. Our award-winning InformedACADEMY© offers numerous career advancement opportunities, tailored training, and support for professional certification. Moreover, our nurturing environment places a strong emphasis on mentoring, allowing you to grow alongside your team while contributing to the overall success of our projects.

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What kind of projects will a Lead Data Scientist work on at Informed?

As a Lead Data Scientist at Informed, you will work on industry-leading projects aimed at driving digital transformation in sectors like healthcare and civil defence. Your projects will focus on innovative data science applications, ultimately facilitating improved service delivery for our clients while addressing critical business challenges. You'll be part of efforts that capitalize on technology to enhance community well-being and sustainability.

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Common Interview Questions for Lead Data Scientist
Can you explain your experience with data science technologies relevant to the Lead Data Scientist role?

Highlight your proficiency in cloud platforms such as AWS or Google Cloud, and specific data science frameworks you've utilized. Discuss projects where you implemented data solutions and overcame challenges, emphasizing the impact on business outcomes.

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What best practices do you follow when developing data science applications?

Discuss the importance of documentation, code review, and collaborative development. Mention methodologies like Agile or Scrum that help structure your workflow for project success, as well as how you ensure quality during deployment.

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How do you approach mentoring junior data scientists?

Explain your strategy for encouraging growth in less experienced practitioners. Share your experience providing feedback, structuring tasks based on individual strengths, and facilitating their skill development through hands-on involvement in projects.

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Describe a project where you had to integrate data science solutions into a larger system.

Share a specific example of a project where you collaborated with cross-disciplinary teams. Detail how you ensured your data science application met user needs and integrated seamlessly with existing systems.

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How do you approach problem-solving when faced with complex data issues?

Describe your analytical process, starting with defining the problem clearly. Discuss the methods you apply to explore data, formulate hypotheses, and test solutions, while keeping stakeholder communication open.

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What is your experience with deploying solutions to operate in a live environment?

Provide examples of past projects where you deployed data science applications into production. Discuss challenges faced, safeguards you implemented, and your approach to ongoing monitoring and optimization of these solutions.

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Can you discuss your experience with generative AI or NLP?

If applicable, talk about any projects involving natural language processing or the creation of AI applications. Share how you approached these projects and any innovative solutions or insights that emerged from your experiences.

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How do you ensure compliance with data governance when handling sensitive information?

Discuss your understanding of data protection laws and best practices for data governance, detailing how you apply these principles throughout the data lifecycle, particularly in projects involving sensitive data.

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How do you manage your time and prioritize tasks in your workflow?

Share techniques you use to balance multiple projects. Discuss your approach to assessing project urgency and importance, emphasizing your commitment to ensuring quality work while meeting deadlines.

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What motivates you to work in data science and how do you see it evolving?

Reflect on your passion for data science and its potential impact on various industries. Discuss trends you observe in the field and how you plan to evolve your skills to remain at the forefront of technological advances.

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DATE POSTED
December 6, 2024

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