Lead Data Scientist (ID: j6OeGnzX)

We collaborate with companies of all sizes, from start-ups to large corporations, with the primary mission of making a positive social difference. Working with clients across a broad spectrum of sectors, from healthcare to direct-to-consumer e-commerce. Our approach is to help clients identify the technical solutions they need and map a route to get there using our skilled team to create the solution. We believe that magic happens when we bring good people together from diverse backgrounds and empower them to thrive. By fostering an inclusive environment that values different perspectives, we unlock innovation and drive impactful results for our clients. We’re looking for a fellow rascal to:

• Be Bold - Embrace boldness in decision-making, welcoming change and innovation without fear of failure.
• Be Helpful - Foster a client-focused, helpful, and supportive environment where everyone contributes positively to delighting our customers, recognising that a little help can go a long way. Remember, without our valued customers at the heart of everything we do, there is no business.
• Communicative - Cultivate a direct, open communication culture where respectful and constructive feedback is given transparently. Be comfortable sharing successes as well as struggles with your team. Effectively translate your thoughts and ideas into clear technical and commercial documentation, ensuring the delivery is as thoughtful as the message itself.
• Team Collaboration - Foster an environment that embraces diversity and inclusion, recognising talent from all backgrounds. Remain open-minded and willing to change your perspective if presented with a better way to approach challenges.
• Trust and Respect - Building relationships based on trust and respect creates an environment conducive to team collaboration, where diverse perspectives are valued, and talent can thrive.
• Result-orientated - The authentic you value a result-orientated approach of releasing early and often while truly listening to your customers. It means balancing speed and quality and automating processes for efficiency without compromising standards. Exemplifying an agile, customer-centric mindset.
• Problem-solving – Embrace problem-solving, particularly when it comes to customers. You strive to help in a way that resonates and makes sense to them, ensuring they truly feel understood and supported.

About You:

We are seeking a Lead Data Scientist with a passion for building scalable data products using a range of coding practices. The role is pivotal in shaping our data strategy and designing, and implementing advanced data analytics solutions. Cloud and DevOps engineering to play a pivotal role in the agency. This is a high-impact role with a dynamic and collaborative product engineering organisation. As a core member of the engineering team, you will be expected to hit the ground running. You will have extensive input into the direction and how our products will be built. Your primary mission will be to build from scratch the backend systems and third-party integrations to enable all mobile and web applications to function along with providing services to other business units to enable them to do their job. This is a shared ownership team, so you relish in the operational side of the work and the building side, working with all team members. Responsibilities

• Building scalable machine learning pipelines and using feature engineering and optimisation methods to improve data set performance
• Working with Technologists to integrate and separate data feeds to map, produce, transform and test new scalable data sets
• Developing interactive dashboards that combine visuals with real-time data
• Generating large databases from various sources of structured and unstructured data
• Using a range of programming languages to transform big data into data sets
• Translating technical data to simple language giving recommendations and conclusions to stakeholders
• Analysing data and generating statistical information to identify trends and patterns
• Lead a team of data scientists, providing mentorship, guidance, and fostering a collaborative and innovative environment

Define prioritise and execute the data science strategy in alignment with the company’s goals and mission

• Collaborate with cross-functional teams to identify opportunities for data-driven insights across research, development, and commercialisation.
• Communicate evolving data science strategies and outcomes clearly to stakeholders, ensuring a shared understanding.
• Convey findings to organisational decision-makers, facilitating the integration of data insights into strategic planning.
• Establish and enforce standard practices around delivery processes with version and change control.
• Stay current with emerging trends, techniques, and technologies in data science to drive innovation within the company.

Would be good if you have.

• Proven experience in Data Analytics
• Proven experience in AWS and cloud computing
• Proven experience in Data engineering
• Experience with Infrastructure as code for all digital infrastructure
• Experience in Python or equivalent languages.
• Instinctively thinks security first
• Experience with technologies like Docker, Serverless and microservices
• Experience in interviewing, team building, mentoring and people development.
• Extensive experience working iteratively in an agile environment.
• Excellent problem-solving attitude and ability to think on your feet.
• Good people skills with an appreciation for working with people as well as technology.
• Experience with and supporter of Test-Driven Development with an insistence on Continuous Integration and Continuous Delivery as cornerstones of the development practices.
• Experience with CI/CD, including continuous Deployment.

Would be better if you had.

• Proficiency in programming languages such as Python, R, and experience with relevant libraries and frameworks, and data pipeline tools like Databricks or Snowflake.
• Familiarity with database management and database design, data layout for data lakes, and data engineering best practices.
• Strong knowledge of statistical modelling, machine learning algorithms, and data mining techniques
• Experience with data visualisation tools like Tableau, Power BI or D3.js
• Familiarity with big data technologies like Hadoop, Spark or Kafka
• Excellent analytical, problem-solving, and critical-thinking skills
• Experience with cloud computing platforms like AWS, GCP, or Azure
• Knowledge of SQL and database management systems
• Understanding of agile methodologies and project management practices
• Experience with deep learning frameworks (e.g., TensorFlow or PyTorch)
• Knowledge of Natural Language Processing (NLP) techniques
• Familiarity with data governance and data privacy best practices

Location Hybrid. We are primarily remote, with regular colocation in London.

Why work with us?

• We’re a Tech for Good B-Corp, so your work contributes to meaningful change.
• Great Team: We pride ourselves on being a collaborative, inclusive, and fun team to work with!
• Competitive Pay.
• Flexible working hours and remote/hybrid working options.
• Professional development opportunities.
• New & emerging technology stacks
• Fixed-term contract
• Market rates
• Flexible schedules

Job Type: Full-time, Fixed term contract, Temp to perm, Freelance
Contract length: 4 months

Pay: £450.00-£650.00 per day

Benefits:

• Company pension
• Private medical insurance
• Work from home

Schedule:

• Monday to Friday

Language:

• English (required)

Work Authorisation:

• United Kingdom (required)

Work Location: Hybrid remote in London, EC2A