Associate Consultant

Harnham; Leeds; On-site; GBP 45,000 - 75,000; Full time

Job summary

Harnham is seeking a client-facing analytics professional in the UK to combine technical expertise, commercial thinking and consulting skills on high‑impact projects across multiple industries.

You will develop scorecards, predictive models and credit strategy solutions, analyse large datasets, and translate findings into practical recommendations for technical and non‑technical stakeholders, presenting results to senior clients.

Qualifications

• Minimum experience in credit risk analytics or related data science environments.
• Experience with credit bureau data and modelling applications.
• Ability to develop scorecards, models, or credit strategies.
• Strong communication to translate analytics into business recommendations.

Responsibilities

• Work directly with clients on analytical and consulting engagements.
• Develop and deliver scorecards, predictive models, and credit strategy solutions.
• Analyse large datasets to identify trends, opportunities and insights.
• Translate analytical findings into practical recommendations for technical and non-technical stakeholders.
• Present results and project updates to clients, building trusted relationships.
• Support organisations in improving lending strategies, risk management, and commercial outcomes.
• Contribute to a varied portfolio across industries and business challenges.
• Collaborate with analytics, consulting, and commercial teams.

Skills

SQL

Python

SAS

Credit risk analytics

Data storytelling

Stakeholder management

Job description

London, Leeds or Nottingham | Up to £75,000 + Benefits

If you're looking for a client-facing analytics role where you can combine technical expertise, commercial thinking, and consulting skills, this opportunity offers genuine variety and visibility. You'll work on high-impact analytical projects across multiple industries, helping organisations make better decisions through data while developing your expertise in credit risk, modelling, and strategy.

The Company

This organisation is a well-established data and analytics business that supports clients with insight-driven decision making. They partner with organisations across a range of sectors, delivering analytical solutions that help improve performance, manage risk, and optimise strategy.

Having recently invested heavily in cloud technologies and modern analytics capabilities, they are continuing to evolve their data science and modelling environment with a growing focus on Python. Their collaborative culture, strong employee retention, and commitment to development make them an attractive destination for analytics professionals.

The Role

You will:

• Work directly with clients on a broad range of analytical and consulting engagements.
• Develop and deliver scorecards, predictive models, and credit strategy solutions.
• Analyse large and complex datasets to identify trends, opportunities, and business insights.
• Translate analytical findings into practical recommendations for both technical and non-technical stakeholders.
• Present results and project updates to clients, building trusted relationships and influencing decision making.
• Support organisations in improving lending strategies, risk management, and broader commercial outcomes.
• Contribute to a varied portfolio of projects across multiple industries and business challenges.
• Work closely with colleagues across analytics, consulting, and commercial functions.

Your Skills & Experience

• Strong commercial experience within credit risk, analytics, data science, or a related analytical environment.
• Experience working with credit bureau data and an understanding of how it is applied within modelling, risk, or strategy projects.
• Proven capability in scorecard development, model development, or credit strategy work.
• Strong SQL skills alongside Python or SAS experience, with a preference for Python.
• Experience translating complex analytical outputs into clear business recommendations.
• Excellent stakeholder management and communication skills.
• Strong commercial awareness and the ability to understand the wider business impact of analytical decisions.
• Experience working in a client-facing or consulting environment would be beneficial.

What They Offer

• Exposure to a diverse range of analytical and consulting projects.
• Clear opportunities for professional development and career progression.
• Access to modern cloud-based analytics tools and technologies.
• A collaborative and supportive team environment.
• The opportunity to work with senior stakeholders and clients across multiple sectors.