Senior Data Scientist

Qodea; Manchester; Hybrid; GBP 125,000 - 150,000; Full time

Job summary

A leading Google Cloud consultancy in Manchester is seeking an experienced Senior Data Scientist to design and deploy innovative machine learning solutions. This role combines technical expertise with collaboration to drive client success and digital transformation. Applicants should have strong skills in Python, SQL, and machine learning algorithms, along with excellent communication abilities. This role offers a competitive salary and significant career development opportunities.

Benefits

Competitive base salary

Matching pension scheme (up to 5%)

Discretionary company bonus scheme

Private medical insurance

36 days annual leave

Flexible working hours

Industry-recognised training and certifications

Qualifications

• Demonstrates persuasive communication skills.
• Provides constructive feedback and acknowledges achievements.
• Utilizes diverse influencing techniques.
• Exceptional conflict resolution skills.
• Adapts quickly to new subject areas.

Responsibilities

• Design and deploy machine learning models and AI solutions.
• Collaborate with clients to understand their business problems.
• Stay updated with the latest developments in machine learning.
• Use version control and agile working practices.

Skills

Statistics and probability fundamentals

Machine learning algorithms

Understanding of Transformer based models

AI agent development

Strong Python skills

Strong SQL skills

Cloud ML tools

MLOps experience

Excellent communication skills

Job description

Join Europe's leading, high-growth Google Cloud consultancy. At Qodea, you’ll be part of a team energised by innovation and passionate about delivering exceptional results. We craft cutting-edge solutions in data and analytics, AI, cloud infrastructure and security, driving digital transformation that empowers our customers to scale, modernise and lead in their industries. We’re driven by ideas and powered by our people.

We are looking for a Senior Data Scientist to join our professional services team.

We really value in-person collaboration, so we're looking for you to spend at least 60% of your time on-site. This means being at our company offices or at a client's site.

How You’ll Shape Our Success

The purpose of this role is to advance clients\' technical environments by designing and deploying innovative machine learning-based models and AI solutions that directly deliver measurable value for their organizations.

What You’ll Do

• Strong grasp of statistics and probability fundamentals
• Solid understanding of machine learning algorithms for supervised and unsupervised learning
• Understanding of Transformer based models
• Experience developing AI agents
• Strong Python and SQL skills
• Experience with Cloud ML tools and version control (e.g. git)
• Experience with MLOps
• Collaborative, proactive, logical, methodical, and attentive to detail
• Excellent communication skills (verbal and written)
• Collaborate with clients to understand their business problems and design technical solutions using machine learning models
• Develop and deploy machine learning models on Google Cloud
• Use version control and agile working practices
• Stay up-to-date with the latest developments in machine learning and bring new ideas to the team.

What You’ll Need to Succeed

• Demonstrates adeptness in persuasive communication and making requests while maintaining harmonious relationships
• Provides valuable feedback and acknowledges achievements in a constructive manner
• Utilizes diverse influencing techniques to achieve goals
• Possesses exceptional conflict resolution skills and can effectively negotiate in difficult situations
• Maintains a delicate balance between personal and team objectives
• Displays sensitivity to the needs of others and readily offers assistance when needed
• Capable of independently developing data solutions using appropriate tools and techniques
• Exhibits a comprehensive understanding of the data landscape and adapts quickly to new subject areas
• Adept at evaluating and incorporating new technologies into existing solutions
• Provides expert advice and support to customers in defining effective solutions
• Skillfully gathers and synthesizes information from project team members and delivers concise updates to stakeholders.

How You’ll Grow

Exceptional performance in this role can lead to advancement opportunities within our career framework or internal opportunities with other business areas, aligned with your career aspirations and business needs.

Potential career development could include progression to the next level or cross-skilling into related roles, such as Principal or Lead Data Scientist.

• Financial:

• Competitive base salary.
• Matching pension scheme (up to 5%) from day one.
• Discretionary company bonus scheme.
• 4 x annual salary Death in Service coverage from day one.
• Employee referral scheme.
• Health and Wellbeing:
• Private medical insurance from day one.
• Help@Hand app: access to remote GPs, second opinions, mental health support, and physiotherapy.
• EAP service
• Cycle to Work scheme.
• Time Off and Flexibility:
• 36 days annual leave (inclusive of bank holidays).
• An extra paid day off for your birthday.
• Ten paid learning days per year.
• Flexible working hours.
• Market-leading parental leave.
• Sabbatical leave (after five years).
• Work from anywhere (up to 3 weeks per year).
• Development and Recognition:
• Industry-recognised training and certifications.
• Bonusly employee recognition and rewards platform.
• Clear opportunities for career development.
• Length of Service Awards
• Extra Perks:
• Regular company events.
• Tech Scheme.

Diversity and Inclusion Statement

At Qodea, we champion diversity and inclusion. We believe that a career in IT should be open to everyone, regardless of race, ethnicity, gender, age, sexual orientation, disability or neurotype. We value the unique talents and perspectives that each individual brings to our team, and we strive to create a fair and accessible hiring process for all. If you feel we can improve in any way, please reach out to our careers team via email at [e-mail] or connect with us on LinkedIn via our Qodea Company Page.