Planning Data Scientist

Planning Data Scientist

6 Month Secondment or Fixed Term Contract

Locations available : Any UK Direct Line office including London Bromley Leeds Manchester Bristol Birmingham Doncaster Glasgow

DLG is evolving. Across every part of our business teams are embracing new opportunities and putting customers at the heart of everything they do. Whether you are already part of DLG or thinking about joining us you’ll have the chance not only to be recognised for your skills but also to build on them and be empowered to do your very best.

As a Planning Data Scientist you will play a key role in driving data‑driven decision making and supporting strategic planning through advanced analytics and machine learning. You’ll combine strong technical skills with a deep understanding of statistical methods and business insight to extract meaningful insights from complex datasets.

• 
  
• Using programming languages such as python for analysis and model building
  
• Using statistical concepts such as hypothesis testing, regression analysis and probability distributions to interpret data
  
• Cleaning, transforming and preparing data from different sources using SQL and other manipulation tools
  
• Implementing machine learning algorithms to build predictive models
  
• Extracting meaningful information from large datasets to inform decision making
  
• Creating meaningful outputs using visualisation tools to aid decision making
  
• Supporting expansion of scope planning for new areas, solving complex problems using data science solutions
  
• Comfortable and / or deliverable track record with using machine learning and forecasting
  
• Adopting appropriate judgement using external planning methodologies to deliver excellent performance through in line with DLG values and strategy.
  

• 
  
• A strong background in statistics and data classification with demonstratable experience
  
• Data Analysis interpretation and deployment knowledge and experience
  
• A strong understanding of insurance principles and practice
  
• Operational performance and understanding
  
• Relationship / Stakeholder Management experience - both internally to DLG and dealing with third‑party stakeholders
  

Ways of working :

Our hybrid model offers a best of both worlds approach. When you’ll be in the office depends on your role and team but colleagues spend at least 2 days a week in the office.

Hours : 35 hours per week

We recognise we wouldn't be where we are today without our colleagues that's why we offer excellent benefits designed to suit your lifestyle :

9% employer contributed pension

50% off home motor and pet insurance plus free Green Flag breakdown cover

Additional optional Health and Dental insurance

EV car scheme

Generous holidays

Buy as you earn share scheme

Employee discounts and cashback

Plus many more

We want everyone to get the most out of their time at DLG. Which is why we have looked beyond the financial rewards and created an offer that takes your whole life into account. Supporting our people to work at their best whatever that looks like and offering real choice flexibility and a greater work‑life balance that means our people have time to focus on the things that matter most to them. Our benefits are about more than just the money you earn. They’re about recognising who you are and the life you live.

Direct Line Group is an equal opportunity employer and we think diversity of background and thinking is a big strength in our people. We’re delighted to feature as one of the UK’s Top 50 Inclusive Employers and are committed to making our business an inclusive place to work where everyone can be themselves and succeed in their careers.

We know you’re more than a CV and the things that make you you are what bring potential to our business. We recognise and embrace people that work in different ways so if you need any adjustments to our recruitment process please speak to the recruitment team who will be happy to support you.

#LI-KS1

#LI-Hybrid

Key Skills

Laboratory Experience,Immunoassays,Machine Learning,Biochemistry,Assays,Research Experience,Spectroscopy,Research & Development,cGMP,Cell Culture,Molecular Biology,Data Analysis Skills

Employment Type : Full-Time

Experience : years

Vacancy : 1