Senior Data Scientist

Dowgate
3 weeks ago
Create job alert

Senior Data Scientist

Machine Learning, Predictive Modelling, Azure, Fabric & Synapse

Location: Hybrid (London-based office)
Salary: Competitive + 10% Bonus + 27% Civil Service Pension

This is a fantastic opportunity to join at the start of a major data transformation journey, as we move to the cloud with Microsoft Azure, Fabric, and Synapse technologies. We are investing in cutting-edge Cloud and AI-driven analytics, making this an exciting time to be part of our data science team.

If you’re a Senior Data Scientist with expertise in predictive modelling, segmentation, and data automation, and you're excited about shaping the future of data in a cloud-first environment, we want to hear from you!

Key Responsibilities

  • Lead and optimize automated reporting pipelines, ensuring high performance and quality assurance.

  • Build and deploy predictive models, enhancing customer behaviour forecasting and operational insights.

  • Maintain and further develop pricing analytics models and web applications for internal stakeholders.

  • Drive segmentation modelling projects, improving customer targeting and personalization strategies.

  • Develop and refine data pipelines and ETL processes, enabling efficient data integration into Azure Synapse & Fabric.

  • Play a key role in cloud migration projects, supporting the organization’s transition to Azure-based analytics.

  • Lead data discovery projects to onboard and analyze new data sources, helping shape our future data landscape.

  • Champion coding best practices, version control, and testing within the data science team.

  • Collaborate with internal teams and external partners, ensuring alignment with business goals.

    What We’re Looking For

  • Strong experience in machine learning, statistical methods, and predictive modelling.

  • Expertise in programming with Python or R, including optimization, modularization, and best practices.

  • Hands-on experience with SQL and working with relational databases, data lakes, and cloud platforms.

  • Exposure to Azure Data Services, Fabric, Synapse, or related cloud technologies is highly desirable.

  • Proven ability to create interactive data visualizations using tools like Plotly/Dash, Shiny, Tableau, or Power BI.

  • Experience in developing web applications for data insights using JavaScript, CSS, or similar frameworks is a plus.

  • Knowledge of Generative AI and experience using LLMs in data workflows.

  • Strong stakeholder management and communication skills, translating complex findings into actionable insights.

  • Degree in a numerate or statistical discipline (Mathematics, Statistics, Data Science, Computer Science, etc.).

    Why Join Us?

  • Be part of an exciting data transformation programme, helping shape a cloud-first analytics ecosystem.

  • Work with leading-edge cloud and data science technologies, including Azure, Fabric, and Synapse.

  • Competitive salary + 10% discretionary bonus.

  • Exceptional pension benefits with a 27% Civil Service pension scheme.

  • Hybrid working model with flexibility.

  • Collaborate with cross-functional teams and external data partners.

  • Excellent career development opportunities with continuous learning and leadership potential.

    This is an exceptional opportunity to play a key role in driving AI and cloud-based analytics innovation. If you’re passionate about data science, cloud transformation, and predictive modelling, we’d love to hear from you!

    Apply today and be part of our exciting data journey

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist – Machine Learning -  Defence –Eligible for SC

Senior Data Scientist

Senior Data Scientist - Middle Mile & Pitstops

Principal Data Scientist and Senior Data Engineer

Senior Data Engineer

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.

McKinsey & Company Data‑Science Jobs in 2025: Your Complete UK Guide to Turning Data into Impact

When CEOs need to unlock billion‑pound efficiencies or launch AI‑first products, they often call McKinsey & Company. What many graduates don’t realise is that behind every famous strategy deck sits a global network of data scientists, engineers and AI practitioners—unified under QuantumBlack, AI by McKinsey. From optimising Formula One pit stops to reducing NHS wait times, McKinsey’s analytics teams turn messy data into operational gold. With the launch of the McKinsey AI Studio in late 2024 and sustained demand for GenAI strategy, the firm is growing its UK analytics headcount faster than ever. The McKinsey careers portal lists 350+ open analytics roles worldwide, over 120 in the UK, spanning data science, machine‑learning engineering, data engineering, product management and AI consulting. Whether you love Python notebooks, Airflow DAGs, or white‑boarding an LLM governance roadmap for a FTSE 100 board, this guide details how to land a McKinsey data‑science job in 2025.

Data Science vs. Data Mining vs. Business Intelligence Jobs: Which Path Should You Choose?

Data Science has evolved into one of the most popular and transformative professions of the 21st century. Yet as the demand for data-related roles expands, other fields—such as Data Mining and Business Intelligence (BI)—are also thriving. With so many data-centric career options available, it can be challenging to determine where your skills and interests best align. If you’re browsing Data Science jobs on www.datascience-jobs.co.uk, you’ve no doubt seen numerous listings that mention machine learning, analytics, or business intelligence. But how does Data Science really differ from Data Mining or Business Intelligence? And which path should you follow? This article demystifies these three interrelated yet distinct fields. We’ll define the core aims of Data Science, Data Mining, and Business Intelligence, highlight where their responsibilities overlap, explore salary ranges, and provide real-world examples of each role in action. By the end, you’ll have a clearer sense of which profession could be your ideal fit—and how to position yourself for success in this ever-evolving data landscape.

UK Visa & Work Permits Explained: Your Essential Guide for International Data Science Talent

Data science has rapidly evolved into a driving force for businesses and organisations worldwide. In the United Kingdom, companies across sectors—including finance, retail, healthcare, tech start-ups, and government agencies—are turning to data-driven insights to boost competitiveness and innovation. Whether you specialise in statistical modelling, machine learning, or advanced analytics, data scientists are in high demand throughout the UK’s vibrant tech ecosystem. If you’re an international data scientist aiming to launch or grow your career in the UK, one essential part of the journey is navigating the country’s visa and work permit system. From understanding how to secure sponsorship as a Skilled Worker to exploring the Global Talent Visa for leading experts, this article will help you understand the most relevant routes, criteria, and practical steps for your move. Let’s delve into everything you need to know about working in data science in the UK as an international professional.