Lead Data Scientist London

Capital On Tap; London; On-site; GBP 45,000 - 75,000; Full time

Job summary

Join a dynamic and innovative team in a hybrid role focused on exciting data science projects. This position offers the chance to develop predictive models that influence strategies across a £1bn credit portfolio. You'll lead analytical projects, mentor junior colleagues, and collaborate with various business stakeholders to ensure seamless implementation of analytical solutions. Enjoy a vibrant work environment with great perks, including private healthcare, generous holiday allowances, and a fun office atmosphere. If you're passionate about data science and looking to make a significant impact, this role is perfect for you.

Benefits

Private Healthcare including dental and opticians services

Worldwide travel insurance

Anniversary Rewards

Salary Sacrifice Pension Scheme

28 days holiday (plus bank holidays)

Annual Learning and Wellbeing Budget

Enhanced Parental Leave

Cycle to Work Scheme

Season Ticket Loan

6 free therapy sessions per year

Dog Friendly Offices

Free drinks and snacks

Qualifications

• 4+ years of experience in statistical modeling and data manipulation.
• Strong commercial understanding of credit portfolios is essential.

Responsibilities

• Develop predictive models influencing customer lifecycle strategies.
• Lead analytical projects and guide junior team members.
• Collaborate with stakeholders to implement solutions seamlessly.

Skills

Statistical modeling in Python

Data extraction and manipulation in SQL

Analytical project experience

Commercial acumen

Autonomy and strong judgement

Credit modeling experience

Experience in fast-paced environments

Job description

This is a Hybrid role, the Data Science team work from our London (Shoreditch) Offices 3 days per week.

What You’ll Be Doing Are you looking to get involved in exciting data science projects and collaborate with colleagues across the business to assist in the management of a £1bn credit portfolio?

1. Develop predictive models and work on analytical assignments, influencing our strategy across the entire customer lifecycle from marketing through to collections.
2. Take a direct lead on the analytical projects and guide junior team members.
3. Collaborate with business stakeholders to ensure models and analytical solutions can be implemented seamlessly without deterioration to customer experience or complex IT builds.
4. Help coach and develop colleagues in various departments on data science tools and techniques.

We’re Looking For Required skills:

1. 4+ years experience building statistical models in Python and extracting/manipulating data in SQL.
2. Experience working on analytical projects.
3. Commercial acumen and a robust understanding of the economics underpinning credit portfolios.
4. Able to work autonomously and display strong judgement and proactivity.
5. Credit modelling experience would be beneficial but this is not a requirement.
6. Experience in consulting, start-ups or other fast-paced environments is beneficial.

Diversity & Inclusion We welcome, consider and encourage applications from anyone who shares our commitment to inclusivity. Join us in creating a space where authenticity thrives, and everyone can do their best work.

Great Work Deserves Great Perks We try not to take ourselves too seriously (all the time) so we make sure our office is decked out with a pool table, arcade machine, beer tap, and a couple of office dogs thrown in for good measure. Check out our benefits:

1. Private Healthcare including dental and opticians services through Vitality.
2. Worldwide travel insurance through Vitality.
3. Anniversary Rewards (£250, £500, £750, 4-week fully paid sabbatical).
4. Salary Sacrifice Pension Scheme up to 7% match.
5. 28 days holiday (plus bank holidays).
6. Annual Learning and Wellbeing Budget.
7. Enhanced Parental Leave.
8. Cycle to Work Scheme.
9. Season Ticket Loan.
10. 6 free therapy sessions per year.
11. Dog Friendly Offices.
12. Free drinks and snacks in our offices.

Check out more of our benefits, values and mission here.