Data Scientist

SF Technology Solutions; Birmingham; On-site; GBP 35,000 - 55,000; Full time

Job summary

SF Technology Solutions is seeking a Data Scientist with a unique blend of financial modelling and data science skills. The successful candidate will support deal execution and asset strategy, using insights from data to drive business decisions in a high-impact environment. This role offers extensive career growth opportunities for candidates who are curious and proactive.

Benefits

Private healthcare

Gym membership

Mobile allowance

Professional development support

Qualifications

• Degree in a relevant field.
• Strong Excel and modelling skills; Python knowledge is beneficial.
• Experience in data-heavy analyst roles preferred.

Responsibilities

• Build and maintain valuation models (DCF, IRR, NPV, etc.).
• Analyse market data and customer trends.
• Create dashboards to influence leasing decisions.

Skills

Excel

Data analysis

Python

Financial modelling

Commercial curiosity

Education

Degree in Finance, Economics, Maths, Engineering, or Data Science

Job description

SF Technology Solutions provided pay range

This range is provided by SF Technology Solutions. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from SF Technology Solutions

Data, Analytics and AI Recruitment Lead @ SF Technology Solutions | IT Recruitment

A high-performing real asset investor is hiring a commercially aware Investment Analyst / Data Scientist to support deal execution, asset strategy, and data-led decision-making across its retail and property portfolio.

About the Role

This is a rare opportunity to blend financial modelling, data science, and real asset strategy in a high-impact team. If you’re curious, proactive, and love using data to drive business value, this role offers the perfect platform to grow.

Responsibilities

• Build and maintain valuation models (DCF, IRR, NPV, etc.)
• Analyse market data, footfall, tenant performance, and customer trends
• Create dashboards and visualisations to influence leasing and repositioning decisions
• Help shape asset strategy across shopping centres and retail parks
• Assist in stakeholder reporting, presentations, and portfolio monitoring

Qualifications

• Degree in Finance, Economics, Maths, Engineering, Data Science, or similar

Required Skills

• Strong Excel and modelling skills; Python a plus
• Experience in real estate, investment, PE, or data-heavy analyst roles (internship or post-grad)
• Commercial curiosity and a genuine interest in real assets and transformation
• A self-starting mindset with a hunger to learn and ask bold questions

Preferred Skills

• Experience in data science and financial modelling

Pay range and compensation package

Equal Opportunity Statement

Benefits include: private healthcare, gym membership, mobile allowance, professional development support.

Seniority level

• Seniority level

  Associate

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Venture Capital and Private Equity Principals

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