Principal Data Scientist

Datatech Analytics
London
3 weeks ago
Create job alert

Principal Data Scientist - Remote Remote Working - UKHome-based with occasional travel into the office £52,737 - £66,197(National Framework) or £58,409- £71,869 (London Framework - if youare London office based or homebased and live within the boundaryof the M25) Plus an additional allowance (paid as a separate amountto salary) of up to £7000 for exceptional candidates. There is alsoan additional homeworking allowance of £581 per annum for thoseworking from home. Job Ref: J12946 Please note we can only acceptapplications from those with current UK working rights for thisrole, this client cannot offer visa sponsorship. A new and excitingopportunity has arisen for a Principal Data Scientist with a strongbackground in Advanced AI (Artificial Intelligence) to lead, mentorand up skill a team of Data Scientists. Collaboratingcross-functionally, the role will focus on the delivery of AI andData Science programmes across the organisation, driving DataQuality, Data Governance and Best Practice. Proven and demonstrableexperience of Python coding and cloud computing is required coupledwith fantastic communication skills to problem solve and influenceacross all levels of the organisation. This is a leadership roleand proven experience of leading a team to deliver is required. KeyResponsibilities: 1. Lead the delivery of AI and Data Scienceprogramme across the organisation. 2. Lead and develop the DataScience Team. 3. Champion Data Science and Advanced Statistics,providing advice to colleagues on the delivery of complex analyticwork. 4. Contribute to the development of the AI and Data Scienceprogramme to drive high impact data science outcomes. 5. Experienceof leading a team to deliver Data Science solutions. 6. Promoteexcellence and innovation in data science methods for measuring thequality of health and social care services, learning from bestpractice (national/international), both internally and externally.7. Assess the effectiveness of different advanced statistical anddata science modelling approaches and advise data scientists onbest tools and approaches to support organisational commitments. 8.Manage competing demands for Data Science work within the Data& Insight unit, ensuring sufficient capacity to deliver whilemanaging stakeholder expectations. 9. Build and drive relationshipsinternally and externally in order to deliver the AI and DataScience programme. 10. Lead and facilitate multi-disciplinary teamsfrom across the unit to deliver outcomes. 11. Assure thatappropriate quality control and assurance is undertaken to ensureconsistency, accuracy and relevance of unit outputs. 12. Stayabreast of internal and external developments in data, policy andstructures of care delivery. 13. Promote a culture of respect andfairness and understand personal responsibilities around deliveringagainst diversity and inclusion strategy. Skills and Experience: 1.Post-graduate qualification in relevant subject or has equivalentprofessional experience. 2. In-depth understanding of a wide rangeof data science techniques, such as machine learning and naturallanguage processing, and able to apply them to a variety ofanalytic problems. 3. Previous experience in delivery of complex,advanced analytics and/or data science solutions. 4. Expert workingknowledge of a range of data science tools, especially Python, R,and SQL. 5. Experience of cloud computing - Cloud Computing -Azure, AWS or GCP. 6. Substantial experience working in cloud-basedtools like Databricks for Machine Learning, Azure Machine Learningand Azure AI Foundry as well as experience helping others to usethem. 7. Experience of delivering Data Science models intoproduction at scale, and collaboration with architecture andengineering teams. 8. Proven experience in leading and developingdata science or complex analytics teams. 9. Strong persuading andinfluencing abilities. 10. Proven experience in managing conflictand articulating coherent rationales for action. 11. Proven abilityto anticipate problems, know how to prevent them and understand howproblems fit into the larger picture. Can also developproblem-solving capabilities in others. 12. Expert ability tomanage stakeholder expectations and facilitate discussions acrosshigh risk and complexity or under constrained timescales. 13.Proven ability to tailor communication in a compelling way to bothtechnical and non-technical audiences. If this role sounds like thechallenge you are seeking, get in touch today to find out more!Alternatively, you can refer a friend or colleague by taking partin our fantastic referral schemes! If you have a friend orcolleague who would be interested in this role, please refer themto us. For each relevant candidate that you introduce to us (thereis no limit) and we place, you will be entitled to our generalgift/voucher scheme. Datatech is one of the UK's leadingrecruitment agencies in the field of analytics and host of thecritically acclaimed event, Women in Data UK. For more informationvisit our website:www.datatech.org.uk#J-18808-Ljbffr

Related Jobs

View all jobs

Principal Data Scientist

Principal Data Scientist

Principal Data Scientist (Remote)

Principal Data Scientist (Remote)

Principal Data Scientist

Principal Data Scientist (Remote)

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.

Data Science Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Data science has become one of the most sought‑after fields in technology, leveraging mathematics, statistics, machine learning, and programming to derive valuable insights from data. Organisations across every sector—finance, healthcare, retail, government—rely on data scientists to build predictive models, understand patterns, and shape strategy with data‑driven decisions. If you’re gearing up for a data science interview, expect a well‑rounded evaluation. Beyond statistics and algorithms, many roles also require data wrangling, visualisation, software engineering, and communication skills. Interviewers want to see if you can slice and dice messy datasets, design experiments, and scale ML models to production. In this guide, we’ll explore 30 real coding & system‑design questions commonly posed in data science interviews. You’ll find challenges ranging from algorithmic coding and statistical puzzle‑solving to the architectural side of building data science platforms in real‑world settings. By practising with these questions, you’ll gain the confidence and clarity needed to stand out among competitive candidates. And if you’re actively seeking data science opportunities in the UK, be sure to visit www.datascience-jobs.co.uk. It’s a comprehensive hub featuring junior, mid‑level, and senior data science vacancies—spanning start‑ups to FTSE 100 companies. Let’s dive into what you need to know.

Negotiating Your Data Science Job Offer: Equity, Bonuses & Perks Explained

Data science has rapidly evolved from a niche specialty to a cornerstone of strategic decision-making in virtually every industry—from finance and healthcare to retail, entertainment, and AI research. As a mid‑senior data scientist, you’re not just running predictive models or generating dashboards; you’re shaping business strategy, product innovation, and customer experiences. This level of influence is why employers are increasingly offering compensation packages that go beyond a baseline salary. Yet, many professionals still tend to focus almost exclusively on base pay when negotiating a new role. This can be a costly oversight. Companies vying for data science talent—especially in the UK, where demand often outstrips supply—routinely offer equity, bonuses, flexible work options, and professional development funds in addition to salary. Recognising these opportunities and effectively negotiating them can have a substantial impact on your total earnings and long-term career satisfaction. This guide explores every facet of negotiating a data science job offer—from understanding equity structures and bonus schemes to weighing crucial perks like remote work and ongoing skill development. By the end, you’ll be well-equipped to secure a holistic package aligned with your market value, your life goals, and the tremendous impact you bring to any organisation.

Data Science Jobs in the Public Sector: Exploring Opportunities Across GDS, NHS, MOD, and More

Data science has emerged as one of the most influential fields in the 21st century, transforming how organisations make decisions, improve services, and solve complex problems. Nowhere is this impact more visible than in the UK public sector. From the Government Digital Service (GDS) to the National Health Service (NHS) and the Ministry of Defence (MOD), government departments and agencies handle vast amounts of data daily to support the well-being and security of citizens. For data enthusiasts looking to make a meaningful contribution, data science jobs in the public sector can offer rewarding roles that blend innovation, large-scale impact, and societal benefit. In this comprehensive guide, we’ll explore why data science is so pivotal to government, the roles you might find, the skills needed, salary expectations, and tips on how to succeed in a public sector data science career.