Data Scientist / Analyst

About The Company

An exciting opportunity to join an elite, London based Enterprise Cloud Platform Development team working on nationwide innovation projects within the UK energy sector.

Working alongside key stakeholders including UK Government departments, this is truly a unique opportunity to modernise the sector, reshape future regulation and help drive the UKs net zero energy ambitions through technological innovation.

The rapid uptake of low carbon technologies including heat pumps, electric vehicles and photovoltaics is driving massive demand for digital innovation within the energy sector. The team is charged with the exploration of data products and experimentation to find innovative new approaches, products and services for potential deployment on a national scale.

The company has an enviable client list and is highly ambitious embarking on an aggressive post-covid growth strategy with a close-knit, diverse team covering a wide range of skills and expertise. Apply now!

Key Responsibilities

• Conducting rich analyses using a variety of analytics tools to provide actionable insights to the Project Director.
• Proposing and supporting experimentation / innovation.
• Supporting projects to drive better quality of experimentation – in ideas and insights.
• Supporting the day-to-day experimentation/data queries and requests.
• Developing and maintaining documentation, knowledge hubs and similar.

Required Skills

• A love of data & highly analytical, enjoys translating complex data into valuable insights.
• Exceptionally strong SQL and or Python / R to analyse large datasets.
• Demonstrable commercial and business acumen - you're motivated by seeing real world improvements from your insights and modelling.
• Experience with cloud computing ecosystems.
• Exposure to and appreciation of software engineering best practices applied to data (eg. version control, CI/CD, InfoSec principles).
• Strong programming skills as evidenced by earlier work in data science or software engineering.
• Commercial experience applying ML techniques to drive demonstrable value.
• An excellent command of Python and basic libraries for data science (e.g. NumPy, pandas, scikit-learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe).
• A solid grasp of supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP or consuming APIs for models.
• Ability to develop new algorithms when an innovative solution is needed is a fundamental skill.
• Strong data visualisation skills using BI tool such as Tableau, Quicksight or similar.
• Strong understanding of cloud based data services: including AWS.

Advantageous Skills

• Previous experience working in or with the UK energy sector.
• Experience with ETL tools, ideally Pentaho.
• Experience with a wide range of SQL products ideally MSSQL, Vertica, Redshift, Snowflake and Presto.

Growth & Work-Life Balance

The role will provide meaningful project, advancement and educational opportunities that will allow you to develop your skills and enhance your career. But with equal importance the company aims to provide a strong work life balance. Benefits including private medical insurance are on offer.

Candidates will:

• Enjoy being part of the company’s fast-paced, scale-up environment.
• Build rapport quickly, creating positive and productive relationships with both internal and external stakeholders.
• Value diversity, different environments and cultures.
• Have excellent communication skills, and actively enjoy shaping requirements and communicating technical concepts to non-technical stakeholders.
• Be proactive / hard-working / reliable.
• Have an analytical approach to problem solving.
• Be subject to a DBS check.
• Have experience in the design & development of POCs.
• Be able to deliver projects from inception to completion often working with a broad mix of individuals and companies with diverse skill sets.
• Possess outstanding attention to detail and understand the need for high quality documentation.
• Work with a team of experts, assisting the energy industry in its generational & digital transformation.
• Collaborate with various companies (vendors, operators & others) to provide technical recommendations and specifications for wider industry adoption.
• Be highly experienced in the Agile methodology and processes with a hands-on approach to assist with the design and prototyping for product backlog and road-mapped features.
• Be able to work towards deadlines, being personally resilient and able to handle, at times, the pressure of a demanding workload and complex client needs.

The job involves

• Scope to innovate and experiment!
• Working with UK government partners within the UK energy sector.
• Inspire confidence and communicate the value and limitations of data science to non-technical stakeholders.
• Guide the process of defining the scope of projects to come with an emphasis on technical feasibility.

Location

This role is primarily office based in the company’s recently renovated, stunning offices in North London (1 min walk from East Finchley tube on the Northern Line). We are looking for candidates with leadership qualities to help guide and support a close-knit team, accordingly we are not offering remote working options.

Role

Full time

Job Types: Full-time, Permanent

Salary: £65,000.00-£75,000.00 per year (negotiable)

Benefits:

• Casual dress
• Company events
• Company pension
• Free parking
• On-site parking
• Private medical insurance

Schedule:

• Monday to Friday

Ability to commute/relocate:

• LONDON: reliably commute or plan to relocate before starting work (required)

Work Location: One location - North London

Job Types: Full-time, Permanent

Salary: £65,000.00-£75,000.00 per year

Benefits:

• Casual dress
• Company events
• Company pension
• Free parking
• On-site parking
• Private medical insurance

Schedule:

• Monday to Friday

Ability to commute/relocate:

• LONDON: reliably commute or plan to relocate before starting work (required)

Experience:

• Data analysis skills: 1 year (required)

Work Location: One location