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Head of Data Science

4 months ago


Morley, United Kingdom Evri Full time

Are you looking for an **exciting new challenge** that will allow you to demonstrate your skills and share your experience within a **fast-paced and dynamic working environment**?

We are looking for a Head of Data Science to be responsible for **leading data analytics teams**, implementation of **advanced analytical methods** and overseeing the operationalisation of **data-driven solutions** to support business objectives.

This includes identifying areas for improvement, designing, and implementing ML or mathematical optimisation models (e.g., operational research techniques) and analysing data to support strategic and tactical decision-making.

**Responsibilities**
- Leading the data science team and oversee the development of data-driven analytics to support business objectives.
- Designing and implementing data-driven models and algorithms.
- Building and managing a high-performing team of data scientists.
- Working closely with business stakeholders (Operations, Product, Commercial and Technology) to understand their data needs and ensure we are using data science to drive our decision-making.
- Identifying opportunities for process improvement and cost savings using operational research techniques.
- Developing and implementing mathematical models and algorithms to support decision-making and optimize business operations.
- Analysing data to support strategic and tactical decision-making.
- Communicating findings and recommendations to stakeholders.
- Staying up to date with the latest data science and machine learning technologies and trends.
- Collaborating with IT and other departments to ensure data security and compliance.
- Developing and monitoring models to ensure they are effective.
- Identifying process improvements and develop our in-house machine-learning tool.
- Clear and effective communications with stakeholders including creating engaging presentations and explaining technical concepts to a non-technical audience.
- Building your knowledge and learning new skills & sharing these with the rest of the team.
- Inspiring and managing employee performance, engagement, and development in line with objectives and company values.

**Your Experience**

Does this sound like you?
- Minimum of 8 years of experience in data science, machine learning, operational research, or statistical modelling.
- Strong leadership experience and ability to manage and mentor a team of data science and data analysts.
- Strong background in programming languages such as Python.
- A successful history of extracting and processing data from large, disconnected data sources via batch ETL, database integrations, APIs, or event streams, to realise commercial value.
- Experience of operationalising machine learning models.
- Familiarity with data visualization tools such as Tableau or Power BI.
- Familiarity with programming languages such as SQL, Python or Java.
- Knowledge of modern data architectures, cloud infrastructure and big data technologies such as Spark, Kafka, Airflow, dbt or similar along with experience of mathematical modelling and optimisation techniques (desirable).
- Logistics industry knowledge (desirable).

**Why Work Here?**

We’re constantly looking at ways to become a more inclusive and diverse employer, and our benefits package is important to us. Here’s some of what we currently offer:

- Flexible working; work from home, or in the office - whatever suits you. You can also choose your working pattern, just let us know
- 26 days holiday + UK Bank Holidays and the option to buy or sell up to 5 days
- Bonus Scheme; an annual bonus that can earn you up to 45% if you really push the boundaries
- Company car or cash allowance of £9,000
- Career progression framework; map out your next steps in your career
- Pension; 3% employer contribution on top of what you choose to commit yourself
- A range of discounts from our clients
- We also have a range of flexible benefits such as additional life assurance, critical life insurances and others to choose from