Data Scientist / Data Engineer

Head Resourcing; Greater London; Vor Ort; GBP 92.000 - 148.000; Vollzeit

Zusammenfassung

Head Resourcing Ltd is seeking an experienced Data Scientist / Data Engineer Consultant for an initial 5-month engagement starting in November. The role is based in London and requires onsite presence 2-3 days per week, working through an umbrella company within a Financial Services environment.

You will apply advanced analytics, machine learning and data engineering to shape consumer risk insights, build dashboards and data products in an Agile team, contributing to strategic decision making

Qualifikationen

• Strong commercial experience in Data Science, Statistics and Data Modelling.
• Advanced Python development for analytics, automation and ML.
• Excellent SQL skills with large, complex datasets.
• Experience building and optimizing data pipelines.
• Proven ML and predictive analytics model development.
• Tableau dashboard design and data visualization experience.
• Translate analytical findings into business recommendations.
• Experience in Agile/Scrum environments.
• Strong stakeholder management and communication skills.
• Experience in regulated environments, especially Financial Services or Public Sector.

Aufgaben

• Develop data products, predictive models and dashboards.
• Create intelligence solutions to support strategic decisions.
• Work within an Agile delivery team.
• Collaborate with stakeholders to translate insights into actions.
• Ensure insights comply with regulatory constraints in FS.

Kenntnisse

Python

SQL

Machine Learning

Tableau

Data pipelines

Agile/Scrum

Stakeholder management

Financial Services domain

Jobbeschreibung

Data Scientist / Data Engineer Consultant needed urgently for our Consultancy client for an initial 5-month engagement starting in November to join a high-profile Consumer Intelligence & Analytics programme within a Financial Services organisation. The right candidate must have demonstrable experience as a Data Scientist / Data Engineer Consultant with strong Python, SQL, Machine Learning and Tableau expertise.

The role requires candidates to engage via an FCSA accredited Umbrella company. Candidates will be required to work onsite in London 2-3 days per week.

This role offers the opportunity to help shape how consumer risks, market trends and emerging harms are identified through the application of advanced analytics, machine learning and data engineering. Working within an Agile delivery team, you will develop innovative data products, predictive models, dashboards and intelligence solutions that directly support strategic decision-making and consumer protection initiatives.

Essential Skills & Experience

• Strong demonstrable commercial experience in Data Science, Statistical Analysis and Data Modelling.
• Advanced Python development skills for analytics, automation and machine learning.
• Excellent SQL skills, including working with large and complex datasets.
• Experience building, maintaining and optimising data pipelines.
• Proven experience developing machine learning and predictive analytics models.
• Strong Tableau dashboard design and data visualisation experience.
• Ability to translate analytical findings into actionable business recommendations.
• Experience working within Agile/Scrum delivery environments.
• Strong stakeholder management and communication skills.
• Experience within regulated environments, particularly Financial Services or Public Sector organisations.

Desirable Experience

• Natural Language Processing (NLP) and text analytics.
• Consumer intelligence, customer insights or market analytics experience.
• Online listening, digital intelligence or alternative data sources.
• Cloud-based analytics platforms and modern data engineering practices.

Head Resourcing is committed to being an inclusive business where diversity is valued and celebrated. Diversity to us, includes but is not limited to educational background, socio-economic background, neurodiversity, age, marriage and civil partnership status, veteran status, gender, gender identity, gender reassignment, sexual orientation, disability, religion or belief, race and ethnicity. As such we welcome enquiries and applications from everyone. We will be happy discuss with you any workplace adjustments you need in order to be at your best during the recruitment process.