An engineering team is responsible for designing, developing, and maintaining products or systems, ensuring they meet performance, safety, and reliability standards. This involves planning and managing projects, collaborating with other teams, conducting thorough testing, and troubleshooting issues. They also focus on continuous innovation and improvement, compliance with regulations, and providing technical support to stakeholders. By documenting their processes and designs, they ensure clarity and consistency, contributing to the delivery of high-quality, reliable, and innovative solutions.
Sub Department Summary
The data science team currently supports multiple areas of the business through knowledge of modeling and manipulating datasets. We assist testing new use cases through production of new datasets and understanding data analysis use-cases.. We also support the engineering and architecture teams through research of new technologies, performance testing, and investigation into new initiatives E.g. Synthetic Data, Data Modeling and Data Analysis.
In the future the Data Science team should additionally be capable of supporting Product through reporting on customer usage, enabling data-driven decision making.
Job Overview
The Senior Data Scientist will work closely with the domain area specialists to improve, optimise and validate the core capabilities of the InfoSum Platform. Manage bespoke data driven projects to support stakeholders with individual experiment needs and define success metrics in close collaboration with the Product and Engineering teams to help evaluate and communicate experiment insights to relevant stakeholders.
Core Responsibilities
- Carrying out research activities.
- Leading data mining and collection procedures.
- Ensuring data quality and integrity.
- Interpreting and analyzing data problems.
- Conceive, plan and prioritize data projects.
- Building analytic systems and predictive models.
- Additional responsibilities as and when required by the business.
Additional company wide requirements
- Understand and comply with InfoSum’s security and privacy policies, and be attentive to information security at all times in the performance of duties for InfoSum.
The main skills needed to deliver the core responsibilities
- Understanding of computer science fundamentals including; data structures, algorithms, data modeling and software architecture.
- Proven experience with Machine Learning algorithms, such as; Logistic Regression, Random Forest, XGBoost, Supervised and unsupervised ML algorithms - as well as innovative research areas such as Deep Learning algorithms.
- Knowledge of SQL and Python's ecosystem for data analysis, using; Jupyter, Pandas, Scikit Learn, Matplotlib.
- Analytical mindset, self starter and proactive
- Solid understanding of model evaluation and data pre-processing techniques, such as standardisation, normalisation, and handling missing data.
- Proven experience of productionisation of Machine Learning based products.
- Excellent communication skills, experience working in cross-functional teams and communicating technical results to stakeholders.
What are the key indicators of success in this role?
Critical success factors include:
- Providing analytical insights
- Models
- Data visualizations
- Analytical direction that shapes the future technology strategy of InfoSum.
As well as working as part of an amazing, engaging and collaborative team, we offer our staff a wide range of benefits to motivate them to be the best they can be! Here’s an overview of everything we offer right now!
You will receive
A competitive salary based on your experience and ability to perform in role
25 days annual leave (excluding bank holidays) + a day off for your birthday + 2 Volunteering days
Private medical insurance
Life assurance - 4x your base salary
Fantastic corporate discounts and mental wellbeing support, including a top of line EAP.
Salary sacrifice schemes
Enhanced Maternity, Adoption & Share Parental Leave
We have fantastic offices in Basingstoke and London complete with a fully stocked fridge / snacks and catered lunches 2 times a week.
We also reward our teams with monthly socials,4pm finishes on a Friday & 3pm Fridays finishes during the summer months of June, July and August, 3 extra days off during the Christmas holidays and a culture built on recognition, collaboration and success.
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