Data Science Manager

Women in Data®; United Kingdom; Remote; GBP 50,000 - 72,000; Full time

Job summary

A leading organization is seeking a Data Science Manager to enhance their AI and Data Science programs. The successful candidate will manage a team, deliver advanced analytic solutions, and drive data quality and governance initiatives. This role offers a competitive salary package, remote working options, and opportunities for exceptional candidates.

Benefits

Home working allowance of £581 per annum

Referral schemes with potential gifts/vouchers

Qualifications

• Experience in managing and upskilling Data Scientists.
• Proven experience in delivery of complex analytics solutions.
• Strong communication and stakeholder management skills.

Responsibilities

• Lead the delivery of AI and Data Science programmes.
• Manage and develop the Data Science Team.
• Promote excellence in data science methods.

Skills

Python

Machine Learning

Natural Language Processing

Data Governance

Data Quality

Education

Post-graduate qualification in relevant subject

Tools

Azure

AWS

GCP

Databricks

R

SQL

Job description

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Partner and Community Support Executive | REC CertRR

Remote Working - UK Home-based, occasional travel into the office

Negotiable to £66,197 (National) or Negotiable to £71,869 (London within the M25)

Plus £7000 for exceptional candidates + home working allowance of £581 per annum

Job Ref: J12946

Please note we can only accept applications from those with current UK working rights for this role, this client cannot offer visa sponsorship.

A new and exciting opportunity has arisen for a Data Science Manager with proven experience of managing, mentoring and upskilling Data Scientists. Collaborating cross-functionally, the role will focus on the delivery of Data Science and AI programmes across the organisation, driving Data Quality, Data Governance and Best Practice. Proven and demonstratable experience of Python coding, clouding computing as well as leading data science teams to deliver data science projects is essential. You’ll have fantastic communication and influencing skills to lead both technical and non-technical stakeholders of all levels through the delivery process.

Key Responsibilities:

· Lead the delivery AI and Data Science programme across the organisation

· Lead and develop an existing Data Science Team to deliver Data Science solutions

· Champion Data Science and Advanced Statistics, providing advice to colleagues on the delivery of complex analytic work.

· Contribute to the development of the AI and Data science programme to drive high impact data science outcomes.

· Promote excellence and innovation in data science methods for measuring the quality of health and social care services, learning from best practice (national/international), both internally and externally.

· Assess the effectiveness of different advanced statistical and data science modelling approaches and advise data scientists on best tools and approaches to support organisational commitments.

· Manage competing demands for Data Science work within the Data & Insight unit, ensuring sufficient capacity to deliver while managing stakeholder expectations.

· Build and drive relationships internally and externally in order to deliver the AI and Data Science programme.

· Lead and facilitate multi-disciplinary teams from across the unit to deliver outcomes.

· Assure that appropriate quality control and assurance is undertaken to ensure consistency, accuracy and relevance of unit outputs.

· Stay abreast of internal and external developments in data, policy and structures of care delivery.

· Promote a culture of respect and fairness and understand personal responsibilities around delivering against diversity and inclusion strategy.

Skills and Experience

· Post-graduate qualification in relevant subject or has equivalent professional experience.

· In-depth understanding of a wide range of data science techniques, such as machine learning and natural language processing, and able to apply them to a variety of analytic problems.

· Previous experience in delivery of complex, advanced analytics and/or data science solutions.

· Experience of delivering Data Science models into production at scale, and collaboration with architecture and engineering teams.

· Proven experience in leading and developing data science or complex analytics teams.

· Strong persuading and influencing abilities.

· Proven experience in managing conflict and articulating coherent rationales for action.

· Expert ability to manage stakeholder expectations and facilitate discussions across high risk and complexity or under constrained timescales.

· Proven ability to tailor communication in a compelling way to both technical and non-technical audiences.

· Expert working knowledge of a range of data science tools, especially Python, R, and SQL

· Experience of cloud computing - Cloud Computing – Azure, AWS or GCP

· Substantial experience working in cloud-based tools like Databricks for Machine Learning, Azure Machine Learning and Azure AI Foundry as well as experience helping others to use them.

If this role sounds like the challenge you are seeking, get in touch today to find out more!

Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.

Datatech is one of the UK’s leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: www.datatech.org.uk

We are proud supporters of Women in Data. Connect, engage and belong to the largest free female data community in the UK – visit: www.womenindata.co.uk to join our community.

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Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Analyst

• Industries

  Information Services

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