CrawlJobs Logo

Head of Data Science

collinsongroup.com Logo

Collinson

Location Icon

Location:
India , Mumbai

Category Icon
Category:
IT - Software Development

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

Not provided
Save Job
Save Icon
Apply Position

Job Description:

The Head of Data Science is a senior position responsible for shaping, operationalizing, and advancing the organization’s data science strategy. This role focuses on creating high-value, data-driven insights and solutions that drive innovation, improve decision-making, and deliver measurable business outcomes. You will act as the bridge between business strategy and advanced analytics execution, ensuring that data science becomes a central enabler of enterprise growth, customer engagement, and operational excellence.

Job Responsibility:

  • Establish and lead a high-performing Data Science function, fostering an environment of innovation, experimentation, and analytical excellence
  • Own the organizational data science strategy, including defining and delivering the intelligent data products vision and roadmap
  • Drive the full lifecycle of data science projects, from problem framing and data exploration to model development, validation, deployment, and scaling
  • Partner with senior leaders across platform, product, and business units to refine and execute the organizational data science strategy, ensuring alignment with business goals
  • Collaborate with stakeholders to identify high-impact use cases and prioritize initiatives that deliver measurable business value
  • Deliver advanced analytics and machine learning solutions addressing challenges such as customer personalisation, operational optimisation, fraud detection, predictive forecasting and more
  • Manage and mentor a team of data scientists, developing their technical and business skills while aligning their efforts with organizational priorities
  • Oversee the integration of data science solutions into existing systems, ensuring robustness, scalability, and long-term performance
  • Promote innovation by exploring new data science applications beyond current ecosystem limitations
  • Champion best practices in data governance, ethical data standards, and regulatory compliance
  • Stay ahead of emerging trends in data science, analytics, and AI to introduce innovations that reinforce the organization’s market leadership
  • Lead the adoption of robust experimentation and causal inference methods (A/B testing, uplift testing) to embed an evidence-based culture across the business
  • Partner closely with Data Engineering and Platform teams to ensure high-quality pipelines, reliable feature stores, and scalable production deployments
  • Drive the operationalization of predictive models in areas such as demand forecasting, customer lifetime value, churn prediction, and fraud detection
  • Champion the use of advanced analytics for decision support, ensuring insights are actionable, timely, and embedded into business processes
  • Ensure all initiatives deliver measurable commercial ROI, linking data science outcomes to customer loyalty, revenue growth, and cost optimization

Requirements:

  • Proven track record in leading data science projects with measurable business outcomes in a commercial setting
  • Expertise in statistical modelling, machine learning, predictive analytics, and data-driven decision-making
  • Strong experience with data science tools, frameworks, and cloud platforms
  • Proficiency in designing and managing end-to-end data science workflows, including data preparation, model training, deployment, and monitoring
  • Leadership experience managing teams of data scientists or analysts in fast-paced, innovation-driven environments
  • Ability to engage with C-suite stakeholders, translate business needs into analytical solutions, and communicate results effectively
  • Deep understanding of data ethics, privacy, and governance frameworks
  • Proven expertise in applied machine learning, predictive modelling, and statistical analysis within large, complex organizations
  • Strong track record of deploying and maintaining models in production, with emphasis on scalability, monitoring, and lifecycle management
  • Experience designing and leading experimentation frameworks to validate business impact
  • Proficiency in working with modern data architectures (e.g., lakehouse, feature stores, streaming systems) to enable real-time analytics and ML
  • Commercial acumen with the ability to translate analytical outputs into tangible business outcomes

Nice to have:

  • Self-motivator with a desire to learn new skills and embrace new technologies in a constantly changing technology landscape
  • Ability to thrive in a fast moving environment
  • Ability to show initiative, innovation and work independently when required
  • Ability to work at pace and tackle project challenges in a collegiate, collaborative way
  • Goal and outcome orientated
  • Thoroughness and attention to detail
  • Good communication skills (ability to present, inform and guide others)
  • Ability to bridge communications between technical and business focussed groups
  • Comfortable working with people at all levels in an organisation

Additional Information:

Job Posted:
March 21, 2026

Work Type:
Hybrid work
Icon
Collinson - All Job Offers
Job Link Share:
Copy Link Icon
Facebook Icon Twitter Icon LinkedIn Icon

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Head of Data Science

Head of Data Science & Analytics

Lead and elevate the data function at Heetch. This role blends technical experti...
Location
Location
Spain , Barcelona
Salary
Salary:
Not provided
heetch.com Logo
Heetch
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years of experience in Data Science, Analytics or a related field
  • 3+ years of leadership experience
  • Proven ability to recruit, develop and mentor high-performing teams
  • Deep expertise in Python, SQL, and statistical modelling
  • Experience in production-grade data science
  • Strong background in experimentation, A/B testing, and causal inference
  • Ability to translate complex data insights into business actions
Job Responsibility
Job Responsibility
  • Mentor, coach, and develop data scientists and analysts
  • Create growth opportunities within the team
  • Foster a culture of analytical excellence, curiosity, and ownership
  • Define and drive the data science & analytics roadmap
  • Balance predictive modelling, experimentation, and deep analytics
  • Ensure best practices in data governance, quality, and scalability
  • Scale A/B testing and causal inference frameworks
  • Develop methodologies to measure impact and optimise key metrics
  • Partner with PMs, engineers, and leadership
  • Leverage data storytelling and advanced analytics to influence strategic decisions
  • Fulltime
Read More
Arrow Right

Head of Global Data Governance

We are seeking a strategic and analytical leader to serve as the Head of Global ...
Location
Location
United States of America , Tempe
Salary
Salary:
Not provided
https://www.circlek.com Logo
Circle K
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 15+ years of progressive experience in Data Governance, Data Management, Analytics with at least 10 years of people leadership experience
  • Bachelor’s degree in Computer Science, Information Management, or Business Administration
  • Master’s degree in a related field is preferred
  • Strong understanding of Data Quality Management, Master Data Management, and Data Catalog and Lineage
  • Experience developing and deploying Data Governance strategy and roadmap within a large-scale, matrixed and complex organization
  • Experience in Retail, B2B, and B2C businesses is highly preferred
  • Proven track record of delivering business value through data management and governance
  • Excellent communication and stakeholder management skills
  • Ability to effectively communicate technical information, issues, and solutions to executive business stakeholders
  • Strong leadership profile and excellent negotiation skills
Job Responsibility
Job Responsibility
  • Develop and execute a comprehensive Data Governance strategy
  • Manage and prioritize team delivery, demand prioritization, and activities
  • Lead cross-functional collaboration with Global Technology, Data Analytics, Data Science, and Business leaders
  • Develop and mentor a high-performing global Data Governance team
  • Oversee the implementation of data governance policies, standards, and best practices
  • Establish and enforce frameworks for data quality, integrity, and security
  • Oversee the selection, implementation, and maintenance of Master Data Management (MDM), Data Catalog and Data Quality tools
  • Guide the definition of metadata standards and workflows
  • Support the implementation of data modeling, lineage, and documentation processes
  • Partner with Enterprise Architecture and Data Engineering teams
  • Fulltime
Read More
Arrow Right

Head of Data Analytics

The selected candidate will be responsible for leading data analysis projects, a...
Location
Location
Portugal , Lisbon
Salary
Salary:
Not provided
https://egor.pt Logo
Egor
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in Data Science, Statistics, Business Analytics, or similar areas (Master’s preferred)
  • Minimum of 10 years of experience in data analysis roles, with at least 5 years in senior or leadership positions
  • Proficiency in SQL, Python, R, or equivalent languages for data analysis and processing
  • Strong experience with visualization tools such as Tableau or Power BI
  • Solid knowledge of Big Data technologies, ETL processes, and Cloud platforms (AWS, Google Cloud, Azure)
  • Ability to apply machine learning techniques and statistical models
Job Responsibility
Job Responsibility
  • Leading data analysis projects to identify patterns, trends, and insights within large and complex data sets
  • Applying statistical techniques and predictive models to solve business problems, support strategic decision-making, and forecast outcomes
  • Developing interactive reports and dashboards that clearly communicate findings to various stakeholders (both technical and non-technical)
  • Designing and implementing data collection, cleaning, and transformation processes to ensure data integrity and accuracy
  • Building and maintaining automated reporting systems to monitor KPIs and performance metrics
  • Working with visualization tools such as Tableau or Power BI to present data in a clear and engaging manner
  • Collaborating with marketing, sales, finance, and product teams to understand their needs and translate data into practical recommendations
  • Supporting the continuous improvement of data analytics processes and organizational best practices
  • Mentoring junior analysts and contributing to the development of a data-driven culture
What we offer
What we offer
  • Opportunity to join a leading company in its sector
Read More
Arrow Right

Operational Risk Head of Data Risk Center of Excellence

The Head of Data Risk Center of Excellence will lead risk assessment efforts for...
Location
Location
United States , Tampa
Salary
Salary:
250000.00 - 500000.00 USD / Year
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 20+ years of direct experience as a senior Non-Financial Risk professional
  • extensive experience in overseeing global data programs in a large-scale organization
  • extensive experience applying operational risk management frameworks
  • experience in leading teams to deliver risk and control assessments
  • demonstrable understanding of Data fundamentals, including architecture and principles
  • deep knowledge of financial and risk data, regulatory compliance, and risk management
  • subject matter expertise in operational risk management applied to Data risk
  • bachelor's degree in Computer Science, Data Science, Information Technology, Business, or a related field preferred.
Job Responsibility
Job Responsibility
  • Ensure Enterprise Control Standard requirements are articulated and implemented
  • embed Data Risk Management practices in day-to-day business and strategic decision-making
  • oversee compliance against ORM frameworks and Enterprise Data transformation
  • lead Data Risk SWAT teams in independent risk assessments
  • operate shared services function supporting business risk management
  • serve as the primary interface to stakeholders like regulators and senior management.
What we offer
What we offer
  • Medical, dental & vision coverage
  • 401(k)
  • life, accident, and disability insurance
  • wellness programs
  • planned time off
  • unplanned time off
  • paid holidays.
  • Fulltime
Read More
Arrow Right

Head of Data and AI

As the Head of Data and AI, you will drive innovation by identifying and integra...
Location
Location
Sweden , Stockholm
Salary
Salary:
Not provided
danads.com Logo
DanAds
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Proven experience building and leading centralized Data/AI teams, including data engineering, data science, and MLOps functions
  • 5+ years of experience deploying ML models into production on AWS (SageMaker, MLOps pipelines)
  • Experience deploying AI-powered features into customer-facing SaaS platforms
  • Proven expertise in exposing ML inference via scalable, low-latency REST APIs
  • Strong background designing and managing high-volume data pipelines (e.g., Kinesis, Kafka, Spark) for feature engineering
  • Experience implementing model monitoring, drift detection, and XAI frameworks, including establishing an AI governance framework
  • Advanced degree (MS/PhD) in Computer Science, Statistics, or a quantitative field
  • Demonstrated ability to translate AI capabilities into product strategy
  • Deep understanding of data security, PII handling, and privacy-by-design (GDPR, CCPA, SOC2) as applied to ML systems
Job Responsibility
Job Responsibility
  • Design, train, and deploy production-grade ML models (using AWS SageMaker, Bedrock, Comprehend) for predictive analytics, anomaly detection, recommendation engines, and automation
  • Own the entire ML model lifecycle, from training and versioning to secure, low-latency deployment on AWS
  • Define and implement a company-wide data strategy, including governance, quality, lineage, and access control
  • Partner with the Domain Expert to formalize AI-driven rules within the BRD
  • Implement robust monitoring for model drift, bias, and performance
  • Develop and expose "explainability" endpoints for critical AI decisions
  • Work with the Platform Back-End Dev to define data pipelines and API contracts for real-time model inference
What we offer
What we offer
  • Competitive salary
  • Wellness grant and occupational pension
  • A fun and entrepreneurial environment
  • Career growth opportunities
  • Industry leading clients such as Paramount Advertising, Yahoo, Nine Group, Roku and many more
Read More
Arrow Right

D&T Head of Data, BI & Analytics

The Head of Data Sciences, Analytics, AI, and BI is a senior strategic and opera...
Location
Location
Salary
Salary:
Not provided
aramex.com Logo
Aramex
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Leadership Behaviors: Collaborate & break silos
  • Execution & Accountability
  • Growth mindset
  • Innovation
Job Responsibility
Job Responsibility
  • Develop and communicate a long-term vision and strategy for Data Sciences, Analytics, AI, and BI, aligned with Aramex’s business strategy and growth objectives.
  • Drive innovation in analytics and AI, exploring emerging technologies, algorithms and methodologies to enhance business decision-making and operational efficiency.
  • Proactively engage business stakeholders to understand complex requirements, desired outcomes, and strategic priorities.
  • Design and deliver fit-for-purpose analytics and AI solutions that optimize operations, improve customer satisfaction, and drive revenue.
  • Use insights from customer feedback, usage analytics, and emerging trends to identify continuous improvement opportunities.
  • Own end to end operations of enterprise analytics platforms, including GCP-based ecosystems (BigQuery, Dataflow, Pub/Sub, Looker) and legacy BI systems (SQL Server, Oracle BI, ETL pipelines).
  • Ensure platform stability, performance, security and compliance through robust ITIL-aligned processes (incident, problem, change, release management).
  • Define and maintain SLAs, SLOs, and operational KPIs for uptime, pipeline reliability, cost efficiency, and user satisfaction.
  • Lead post-project operationalization, including service acceptance, monitoring, and continuous improvement loops.
  • Lead and mentor a high performing team of data scientists, AI engineers, BI analysts, and data operations engineers.
Read More
Arrow Right

Head of Data Center and Migration Revenue Finance

You will be joining the Data Center Revenue team within the FP&A function, dedic...
Location
Location
United States , San Francisco
Salary
Salary:
161400.00 - 259200.00 USD / Year
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • At least 10 years experience in finance, with the majority in financial planning and analysis in tech, consulting or banking
  • Strong financial modeling skills and an understanding of business metrics
  • Demonstrated experience drawing upon insights to tell a compelling story using data
  • Leading and managing cross-functional partners
  • Experience engaging and providing financial support to senior business partners
  • Strong critical thinking, organizational, interpersonal, communication, and collaboration skills
  • Experience working in a dynamic, rapidly changing environment
  • A curiosity to learn and the initiative to act
Job Responsibility
Job Responsibility
  • Lead our Data Center revenue forecasting and reporting in alignment with business objectives
  • Own financial deliverables related to close, forecasting, and planning for the Data Center business and Cloud migration initiatives
  • Create clear and concise narratives grounded in data for highly visible monthly and quarterly reviews
  • Collaborate across the company to provide insight into our performance by influencing and leveraging the work of business and data science partners to identify and mitigate risks and upside opportunities
  • Partner with data science and analytics teams to ensure our infrastructure accurately and appropriately reflects transactions across our reporting and analytical applications
  • Lead the crafting and communication of the financial narrative to board and execs
What we offer
What we offer
  • Health and wellbeing resources
  • Paid volunteer days
  • Equity
  • Bonuses
  • Commissions
  • Compensation based on geographic pay zones
  • Fulltime
Read More
Arrow Right

Head of AI/Data Consulting

This role plays a pivotal part in shaping and scaling our AI and Data consulting...
Location
Location
United States , Raleigh
Salary
Salary:
Not provided
carimus.com Logo
Carimus
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Deep expertise in AI and Data Science, with an up-to-date understanding of modern AI (LLMs, agents, MLOps, data architectures, etc.)
  • Several years of experience in AI/Data consulting or in a software company offering AI/Data advisory services
  • Demonstrated success in strategic advisory work with enterprise clients
  • Proven ability to connect technical solutions to business value and ROI
  • Prior P&L ownership or substantial commercial responsibility
  • Exceptional interpersonal, communication, and client-facing skills
  • Experience hiring, developing, and leading technical consulting teams
  • Ability to travel to customer locations as needed
Job Responsibility
Job Responsibility
  • Build and lead a team of AI/Data Consultants who can advise clients on AI and data strategies, tools, architectures, and implementation approaches
  • Partner with marketing and commercial teams to shape marketing and go-to-market strategies aimed at winning new clients in the US and Europe
  • Own the P&L for the AI/Data Consulting unit, ensuring financial performance, scalability, and profitability
  • Conduct workshops, strategic assessments, and executive-level discussions with key customers
  • Represent Carimus and Spyrosoft externally as a credible AI voice, supporting business development, shaping proposals, and closing strategic deals
  • Define a clear vision for how AI can drive tangible business outcomes and bring that vision to clients and internal teams
  • Foster a culture of excellence, curiosity, accountability, and collaboration within the team
  • Fulltime
Read More
Arrow Right
Jobs by Category
Art and Entertainment Jobs Banking Jobs Call Center Jobs Construction Jobs Consulting Jobs Customer Service Jobs Education Jobs Energy Jobs Finance Jobs Gastronomy Jobs Health and Beauty Jobs Hospitality and Tourism Jobs Human Resources Jobs Insurance Jobs IT - Administration Jobs IT - Software Development Jobs Legal Jobs Logistics Jobs Manufacturing Jobs Marketing, Digital Marketing, SEO, SEM Jobs Media Jobs Nursing Jobs Office Administration Jobs Pharmacy Jobs Physical Work Jobs Public Relations Jobs Public Sector Jobs Purchasing Jobs Quality Control Jobs Real Estate Jobs Research and Development Jobs Sales Jobs
Job Positions Jobs by Country
United States Jobs United Kingdom Jobs India Jobs Canada Jobs Australia Jobs Germany Jobs Ireland Jobs Poland Jobs
Company
Blog About Us Contact
Follow Us
Facebook
X (Twitter)
LinkedIn
Instagram
CrawlJobs Group
ITFlashcards AllDevBlogs
© 2026 CrawlJobs Ltd. All Rights Reserved
Terms & Conditions Privacy Policy